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Posted to commits@hive.apache.org by mm...@apache.org on 2018/08/08 07:37:24 UTC
[01/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Repository: hive
Updated Branches:
refs/heads/master c0f63bf0c -> 470ba3e28
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query87.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query87.q.out b/ql/src/test/results/clientpositive/perf/spark/query87.q.out
index 8ac6dce..e7329a3 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query87.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query87.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select count(*)
from ((select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
@@ -19,7 +19,7 @@ from ((select distinct c_last_name, c_first_name, d_date
and d_month_seq between 1212 and 1212+11)
) cool_cust
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select count(*)
from ((select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
@@ -40,6 +40,10 @@ from ((select distinct c_last_name, c_first_name, d_date
and d_month_seq between 1212 and 1212+11)
) cool_cust
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -58,18 +62,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -83,18 +109,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -108,18 +156,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -143,12 +213,22 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_customer_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -156,6 +236,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col3
input vertices:
1 Map 7
@@ -164,9 +248,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 13
@@ -175,32 +272,65 @@ STAGE PLANS:
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_bill_customer_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -208,6 +338,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col3
input vertices:
1 Map 17
@@ -216,9 +350,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 9
@@ -227,12 +374,22 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_sold_date_sk is not null and cs_bill_customer_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int))
predicate: (cs_bill_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -240,6 +397,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col3
input vertices:
1 Map 12
@@ -248,12 +409,30 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -275,8 +454,21 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
Reducer 11
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -284,9 +476,21 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: string), _col0 (type: string), _col2 (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0]
keys: _col1 (type: string), _col0 (type: string), _col2 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3
@@ -294,13 +498,31 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), 1L (type: bigint), _col3 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 4, 3]
+ selectExpressions: ConstantVectorExpression(val 1) -> 4:bigint
Statistics: Num rows: 87116929 Data size: 11797382219 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col4 (type: bigint), (_col3 * _col4) (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 5]
+ selectExpressions: LongColMultiplyLongColumn(col 4:bigint, col 3:bigint) -> 5:bigint
Statistics: Num rows: 261355616 Data size: 27168769766 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFSumLong(col 5:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: _col0 (type: string), _col1 (type: string), _col2 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -309,9 +531,18 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 261355616 Data size: 27168769766 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: bigint), _col4 (type: bigint)
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -333,8 +564,21 @@ STAGE PLANS:
Statistics: Num rows: 174243235 Data size: 23692040863 Basic stats: COMPLETE Column stats: NONE
Reducer 16
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -342,9 +586,21 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: string), _col0 (type: string), _col2 (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0]
keys: _col1 (type: string), _col0 (type: string), _col2 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3
@@ -352,13 +608,31 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), 1L (type: bigint), _col3 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 4, 3]
+ selectExpressions: ConstantVectorExpression(val 1) -> 4:bigint
Statistics: Num rows: 43560808 Data size: 5923010113 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col4 (type: bigint), (_col3 * _col4) (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 5]
+ selectExpressions: LongColMultiplyLongColumn(col 4:bigint, col 3:bigint) -> 5:bigint
Statistics: Num rows: 54450625 Data size: 7055042151 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFSumLong(col 5:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: _col0 (type: string), _col1 (type: string), _col2 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -367,9 +641,18 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 54450625 Data size: 7055042151 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: bigint), _col4 (type: bigint)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -391,8 +674,21 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -400,9 +696,21 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: string), _col0 (type: string), _col2 (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0]
keys: _col1 (type: string), _col0 (type: string), _col2 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3
@@ -410,13 +718,31 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), 2L (type: bigint), _col3 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 4, 3]
+ selectExpressions: ConstantVectorExpression(val 2) -> 4:bigint
Statistics: Num rows: 174238687 Data size: 15371387547 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col4 (type: bigint), (_col3 * _col4) (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 5]
+ selectExpressions: LongColMultiplyLongColumn(col 4:bigint, col 3:bigint) -> 5:bigint
Statistics: Num rows: 261355616 Data size: 27168769766 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFSumLong(col 5:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: _col0 (type: string), _col1 (type: string), _col2 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -425,26 +751,60 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 261355616 Data size: 27168769766 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: bigint), _col4 (type: bigint)
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFSumLong(col 4:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
Statistics: Num rows: 130677808 Data size: 13584384883 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColGreaterLongScalar(col 3:bigint, val 0), FilterLongColEqualLongColumn(col 5:bigint, col 4:bigint)(children: LongColMultiplyLongScalar(col 3:bigint, val 2) -> 5:bigint))
predicate: (((_col3 * 2) = _col4) and (_col3 > 0L)) (type: boolean)
Statistics: Num rows: 21779634 Data size: 2264064077 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
Statistics: Num rows: 21779634 Data size: 2264064077 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string), _col1 (type: string), _col2 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3
@@ -452,13 +812,31 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), 2L (type: bigint), _col3 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 4, 3]
+ selectExpressions: ConstantVectorExpression(val 2) -> 4:bigint
Statistics: Num rows: 10889817 Data size: 1132032038 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col4 (type: bigint), (_col3 * _col4) (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 5]
+ selectExpressions: LongColMultiplyLongColumn(col 4:bigint, col 3:bigint) -> 5:bigint
Statistics: Num rows: 54450625 Data size: 7055042151 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFSumLong(col 5:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: _col0 (type: string), _col1 (type: string), _col2 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -467,13 +845,31 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 54450625 Data size: 7055042151 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: bigint), _col4 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFSumLong(col 4:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -481,31 +877,70 @@ STAGE PLANS:
Select Operator
expressions: _col3 (type: bigint), _col4 (type: bigint)
outputColumnNames: _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 4]
Statistics: Num rows: 27225312 Data size: 3527521010 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColGreaterLongScalar(col 3:bigint, val 0), FilterLongColEqualLongColumn(col 5:bigint, col 4:bigint)(children: LongColMultiplyLongScalar(col 3:bigint, val 2) -> 5:bigint))
predicate: (((_col3 * 2) = _col4) and (_col3 > 0L)) (type: boolean)
Statistics: Num rows: 4537552 Data size: 587920168 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 4537552 Data size: 587920168 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[09/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query76.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query76.q.out b/ql/src/test/results/clientpositive/perf/spark/query76.q.out
index 05ec505..3adfc10 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query76.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query76.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM (
SELECT 'store' as channel, 'ss_addr_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price
FROM store_sales, item, date_dim
@@ -21,7 +21,7 @@ GROUP BY channel, col_name, d_year, d_qoy, i_category
ORDER BY channel, col_name, d_year, d_qoy, i_category
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM (
SELECT 'store' as channel, 'ss_addr_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price
FROM store_sales, item, date_dim
@@ -44,6 +44,10 @@ GROUP BY channel, col_name, d_year, d_qoy, i_category
ORDER BY channel, col_name, d_year, d_qoy, i_category
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -68,181 +72,393 @@ STAGE PLANS:
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_category (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_category (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int), d_qoy (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 10]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_warehouse_sk is null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNull(col 14:int), SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_item_sk is not null and cs_sold_date_sk is not null and cs_warehouse_sk is null) (type: boolean)
Statistics: Num rows: 143994918 Data size: 19499804476 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 15, 23]
Statistics: Num rows: 143994918 Data size: 19499804476 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int)
sort order: +
Map-reduce partition columns: _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 143994918 Data size: 19499804476 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 16
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_category (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 17
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int), d_qoy (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 10]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_addr_sk is null and ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNull(col 6:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_addr_sk is null and ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287997817 Data size: 25407250999 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 15]
Statistics: Num rows: 287997817 Data size: 25407250999 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287997817 Data size: 25407250999 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int), d_qoy (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 10]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_web_page_sk is null and ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNull(col 12:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_item_sk is not null and ws_sold_date_sk is not null and ws_web_page_sk is null) (type: boolean)
Statistics: Num rows: 72001334 Data size: 9790099106 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 23]
Statistics: Num rows: 72001334 Data size: 9790099106 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 72001334 Data size: 9790099106 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -267,6 +483,11 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
value expressions: _col5 (type: bigint), _col6 (type: decimal(17,2))
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -283,6 +504,11 @@ STAGE PLANS:
Statistics: Num rows: 158394413 Data size: 21449785388 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: decimal(7,2)), _col5 (type: string)
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -307,6 +533,11 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
value expressions: _col5 (type: bigint), _col6 (type: decimal(17,2))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -323,6 +554,11 @@ STAGE PLANS:
Statistics: Num rows: 316797605 Data size: 27947976704 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col5 (type: decimal(7,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -348,9 +584,23 @@ STAGE PLANS:
value expressions: _col5 (type: bigint), _col6 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 5:bigint) -> bigint, VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:int, col 3:int, col 4:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int), KEY._col3 (type: int), KEY._col4 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
@@ -358,27 +608,52 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int), _col3 (type: int), _col4 (type: string)
sort order: +++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 304916424 Data size: 33091779954 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col5 (type: bigint), _col6 (type: decimal(17,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: int), KEY.reducesinkkey3 (type: int), KEY.reducesinkkey4 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6]
Statistics: Num rows: 304916424 Data size: 33091779954 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
[40/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query24.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query24.q.out b/ql/src/test/results/clientpositive/perf/spark/query24.q.out
index a34d3e8..5013da9 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query24.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query24.q.out
@@ -1,5 +1,5 @@
Warning: Map Join MAPJOIN[104][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with ssales as
(select c_last_name
,c_first_name
@@ -48,7 +48,7 @@ group by c_last_name
having sum(netpaid) > (select 0.05*avg(netpaid)
from ssales)
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with ssales as
(select c_last_name
,c_first_name
@@ -97,6 +97,10 @@ group by c_last_name
having sum(netpaid) > (select 0.05*avg(netpaid)
from ssales)
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-3 is a root stage
Stage-2 depends on stages: Stage-3
@@ -115,18 +119,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_market_id = 7) and s_store_sk is not null and s_zip is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 7), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 25:string))
predicate: ((s_market_id = 7) and s_store_sk is not null and s_zip is not null) (type: boolean)
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_name (type: string), s_state (type: string), s_zip (type: string)
outputColumnNames: _col0, _col1, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 24, 25]
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -147,12 +173,22 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_ticket_number is not null and ss_item_sk is not null and ss_store_sk is not null and ss_customer_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 3:int))
predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 7, 9, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -160,6 +196,10 @@ STAGE PLANS:
keys:
0 _col2 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0, _col1, _col3, _col4, _col6, _col8, _col9
input vertices:
1 Map 19
@@ -168,9 +208,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col3 (type: int), _col4 (type: decimal(7,2)), _col6 (type: string), _col8 (type: string), _col9 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 20
@@ -179,80 +232,178 @@ STAGE PLANS:
alias: customer
filterExpr: (c_customer_sk is not null and c_birth_country is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 14:string))
predicate: (c_birth_country is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_first_name (type: string), c_last_name (type: string), c_birth_country (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 9, 14]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 21
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_current_price (type: decimal(7,2)), i_size (type: string), i_color (type: string), i_units (type: string), i_manager_id (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 15, 17, 18, 20]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2)), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 22
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: (sr_ticket_number is not null and sr_item_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 2:int))
predicate: (sr_item_sk is not null and sr_ticket_number is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_item_sk (type: int), sr_ticket_number (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 9]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 23
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (upper(ca_country) is not null and ca_zip is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 14:string)(children: StringUpper(col 10:string) -> 14:string), SelectColumnIsNotNull(col 9:string))
predicate: (ca_zip is not null and upper(ca_country) is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_state (type: string), ca_zip (type: string), ca_country (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [8, 9, 10]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string), upper(_col2) (type: string)
sort order: ++
Map-reduce partition columns: _col1 (type: string), upper(_col2) (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ keyExpressions: StringUpper(col 10:string) -> 14:string
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 13
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -269,6 +420,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2)), _col6 (type: string), _col8 (type: string), _col9 (type: string), _col11 (type: string), _col12 (type: string), _col13 (type: string)
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -285,6 +441,11 @@ STAGE PLANS:
Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: decimal(7,2)), _col6 (type: string), _col8 (type: string), _col9 (type: string), _col11 (type: string), _col12 (type: string), _col13 (type: string), _col15 (type: decimal(7,2)), _col16 (type: string), _col17 (type: string), _col18 (type: string), _col19 (type: int)
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -301,6 +462,11 @@ STAGE PLANS:
Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: decimal(7,2)), _col6 (type: string), _col8 (type: string), _col11 (type: string), _col12 (type: string), _col15 (type: decimal(7,2)), _col16 (type: string), _col17 (type: string), _col18 (type: string), _col19 (type: int)
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -324,9 +490,23 @@ STAGE PLANS:
value expressions: _col10 (type: decimal(17,2))
Reducer 17
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 10:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:decimal(7,2), col 5:string, col 6:string, col 7:string, col 8:int, col 9:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: decimal(7,2)), KEY._col5 (type: string), KEY._col6 (type: string), KEY._col7 (type: string), KEY._col8 (type: int), KEY._col9 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
@@ -334,31 +514,67 @@ STAGE PLANS:
Select Operator
expressions: _col10 (type: decimal(17,2))
outputColumnNames: _col10
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [10]
Statistics: Num rows: 463823414 Data size: 40918636268 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col10), count(_col10)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 10:decimal(17,2)) -> decimal(27,2), VectorUDAFCount(col 10:decimal(17,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
mode: hash
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(27,2)), _col1 (type: bigint)
Reducer 18
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(27,2)) -> decimal(27,2), VectorUDAFCountMerge(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1]
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (0.05 * (_col0 / _col1)) (type: decimal(38,12))
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
+ selectExpressions: DecimalScalarMultiplyDecimalColumn(val 0.05, col 3:decimal(38,13))(children: DecimalColDivideDecimalColumn(col 0:decimal(27,2), col 2:decimal(19,0))(children: CastLongToDecimal(col 1:bigint) -> 2:decimal(19,0)) -> 3:decimal(38,13)) -> 4:decimal(38,12)
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -373,18 +589,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_market_id = 7) and s_store_sk is not null and s_zip is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 7), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 25:string))
predicate: ((s_market_id = 7) and s_store_sk is not null and s_zip is not null) (type: boolean)
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_name (type: string), s_state (type: string), s_zip (type: string)
outputColumnNames: _col0, _col1, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 24, 25]
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -404,102 +642,223 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_ticket_number is not null and ss_item_sk is not null and ss_store_sk is not null and ss_customer_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 3:int))
predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 7, 9, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: (sr_ticket_number is not null and sr_item_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 2:int))
predicate: (sr_item_sk is not null and sr_ticket_number is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_item_sk (type: int), sr_ticket_number (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 9]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (upper(ca_country) is not null and ca_zip is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 14:string)(children: StringUpper(col 10:string) -> 14:string), SelectColumnIsNotNull(col 9:string))
predicate: (ca_zip is not null and upper(ca_country) is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_state (type: string), ca_zip (type: string), ca_country (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [8, 9, 10]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string), upper(_col2) (type: string)
sort order: ++
Map-reduce partition columns: _col1 (type: string), upper(_col2) (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ keyExpressions: StringUpper(col 10:string) -> 14:string
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_color = 'orchid') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 17:string, val orchid), SelectColumnIsNotNull(col 0:int))
predicate: ((i_color = 'orchid') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_current_price (type: decimal(7,2)), i_size (type: string), i_units (type: string), i_manager_id (type: int)
outputColumnNames: _col0, _col1, _col2, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 15, 18, 20]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2)), _col2 (type: string), _col4 (type: string), _col5 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_birth_country is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 14:string))
predicate: (c_birth_country is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_first_name (type: string), c_last_name (type: string), c_birth_country (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 9, 14]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -526,6 +885,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col3 (type: int), _col4 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: string), _col9 (type: string), _col10 (type: int), _col12 (type: string), _col14 (type: string), _col15 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -542,6 +906,11 @@ STAGE PLANS:
Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: string), _col9 (type: string), _col10 (type: int), _col12 (type: string), _col14 (type: string), _col15 (type: string), _col17 (type: string), _col18 (type: string), _col19 (type: string)
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -558,6 +927,11 @@ STAGE PLANS:
Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: string), _col9 (type: string), _col10 (type: int), _col12 (type: string), _col14 (type: string), _col17 (type: string), _col18 (type: string)
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -583,9 +957,23 @@ STAGE PLANS:
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 9:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:decimal(7,2), col 5:string, col 6:string, col 7:int, col 8:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: decimal(7,2)), KEY._col5 (type: string), KEY._col6 (type: string), KEY._col7 (type: int), KEY._col8 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
@@ -593,9 +981,21 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col9 (type: decimal(17,2))
outputColumnNames: _col1, _col2, _col7, _col9
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 9]
Statistics: Num rows: 463823414 Data size: 40918636268 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col9)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 9:decimal(17,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0]
keys: _col1 (type: string), _col2 (type: string), _col7 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3
@@ -603,6 +1003,10 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: string), _col0 (type: string), _col2 (type: string), _col3 (type: decimal(27,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2, 3]
Statistics: Num rows: 231911707 Data size: 20459318134 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -610,19 +1014,34 @@ STAGE PLANS:
keys:
0
1
+ Map Join Vectorization:
+ className: VectorMapJoinInnerMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0, _col1, _col2, _col3, _col4
input vertices:
1 Reducer 18
Statistics: Num rows: 231911707 Data size: 74494745865 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterDecimalColGreaterDecimalColumn(col 3:decimal(27,2), col 4:decimal(38,12))
predicate: (_col3 > _col4) (type: boolean)
Statistics: Num rows: 77303902 Data size: 24831581847 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: decimal(27,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2, 3]
Statistics: Num rows: 77303902 Data size: 24831581847 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 77303902 Data size: 24831581847 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query25.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query25.q.out b/ql/src/test/results/clientpositive/perf/spark/query25.q.out
index 3d7f402..38c1152 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query25.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query25.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
i_item_id
,i_item_desc
@@ -45,7 +45,7 @@ select
,s_store_name
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
i_item_id
,i_item_desc
@@ -92,6 +92,10 @@ select
,s_store_name
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -110,18 +114,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_id (type: string), s_store_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 5]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -135,18 +161,40 @@ STAGE PLANS:
alias: d3
filterExpr: (d_moy BETWEEN 4 AND 10 and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 8:int, left 4, right 10), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10) (type: boolean)
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -160,18 +208,40 @@ STAGE PLANS:
alias: d2
filterExpr: (d_moy BETWEEN 4 AND 10 and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 8:int, left 4, right 10), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10) (type: boolean)
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -192,32 +262,65 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_item_sk is not null and ss_ticket_number is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 7, 9, 22]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: (sr_customer_sk is not null and sr_item_sk is not null and sr_ticket_number is not null and sr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 0:int))
predicate: (sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_returned_date_sk (type: int), sr_item_sk (type: int), sr_customer_sk (type: int), sr_ticket_number (type: int), sr_net_loss (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 9, 19]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -225,6 +328,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col3, _col4
input vertices:
1 Map 12
@@ -233,9 +340,22 @@ STAGE PLANS:
key expressions: _col1 (type: int), _col2 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 63350266 Data size: 4908414421 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 13
@@ -244,51 +364,107 @@ STAGE PLANS:
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string), i_item_desc (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 4]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: d1
filterExpr: ((d_moy = 4) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 8:int, val 4), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 4) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int), cs_item_sk (type: int), cs_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 15, 33]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -296,6 +472,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col3
input vertices:
1 Map 10
@@ -304,12 +484,30 @@ STAGE PLANS:
key expressions: _col2 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col2 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -326,6 +524,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col5 (type: decimal(7,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -344,6 +547,11 @@ STAGE PLANS:
Reducer 4
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -378,9 +586,23 @@ STAGE PLANS:
value expressions: _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
@@ -388,27 +610,52 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string)
sort order: ++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: decimal(17,2)), VALUE._col2 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6]
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
[25/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query51.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query51.q.out b/ql/src/test/results/clientpositive/perf/spark/query51.q.out
index c0bb72b..78d164b 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query51.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query51.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
WITH web_v1 as (
select
ws_item_sk item_sk, d_date,
@@ -42,7 +42,7 @@ order by item_sk
,d_date
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
WITH web_v1 as (
select
ws_item_sk item_sk, d_date,
@@ -86,6 +86,10 @@ order by item_sk
,d_date
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -103,18 +107,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -128,18 +154,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -159,12 +207,22 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -172,12 +230,24 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col4
input vertices:
1 Map 6
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 13:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 2:int, col 24:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col1 (type: int), _col4 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -186,9 +256,22 @@ STAGE PLANS:
key expressions: _col0 (type: int), _col1 (type: string)
sort order: ++
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 7
@@ -197,12 +280,22 @@ STAGE PLANS:
alias: web_sales
filterExpr: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 21]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -210,12 +303,24 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col4
input vertices:
1 Map 9
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 21:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 3:int, col 35:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col1 (type: int), _col4 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -224,12 +329,30 @@ STAGE PLANS:
key expressions: _col0 (type: int), _col1 (type: string)
sort order: ++
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: Only PTF directly under reduce-shuffle is supported
+ vectorized: false
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
@@ -268,6 +391,11 @@ STAGE PLANS:
Statistics: Num rows: 316797606 Data size: 27947976754 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(27,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -284,6 +412,11 @@ STAGE PLANS:
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: decimal(27,2)), _col3 (type: int), _col4 (type: string), _col5 (type: decimal(27,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: max UNBOUNDED end frame is not supported for ROWS window type
+ vectorized: false
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), VALUE._col1 (type: string), VALUE._col2 (type: decimal(27,2)), VALUE._col3 (type: int), VALUE._col4 (type: string), VALUE._col5 (type: decimal(27,2))
@@ -330,22 +463,43 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(27,2)), _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(27,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(27,2)), VALUE._col1 (type: decimal(27,2)), VALUE._col2 (type: decimal(27,2)), VALUE._col3 (type: decimal(27,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: Only PTF directly under reduce-shuffle is supported
+ vectorized: false
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query52.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query52.q.out b/ql/src/test/results/clientpositive/perf/spark/query52.q.out
index f6c4fc8..285a9a9 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query52.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query52.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select dt.d_year
,item.i_brand_id brand_id
,item.i_brand brand
@@ -19,7 +19,7 @@ select dt.d_year
,brand_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select dt.d_year
,item.i_brand_id brand_id
,item.i_brand brand
@@ -40,6 +40,10 @@ select dt.d_year
,brand_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -60,60 +64,134 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: dt
filterExpr: ((d_moy = 12) and (d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 8:int, val 12), FilterLongColEqualLongScalar(col 6:int, val 1998), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 12) and (d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_manager_id = 1) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 20:int, val 1), SelectColumnIsNotNull(col 0:int))
predicate: ((i_manager_id = 1) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_brand (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 8]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -130,6 +208,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -153,9 +236,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -163,25 +260,50 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col2 (type: decimal(17,2)), _col0 (type: int)
sort order: -+
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: string)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey1 (type: int), VALUE._col0 (type: string), KEY.reducesinkkey0 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 2, 0]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: 1998 (type: int), _col0 (type: int), _col1 (type: string), _col2 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 1, 2, 0]
+ selectExpressions: ConstantVectorExpression(val 1998) -> 3:int
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query53.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query53.q.out b/ql/src/test/results/clientpositive/perf/spark/query53.q.out
index ec9350e..f117712 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query53.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query53.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select * from
(select i_manufact_id,
sum(ss_sales_price) sum_sales,
@@ -25,7 +25,7 @@ order by avg_quarterly_sales,
i_manufact_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select * from
(select i_manufact_id,
sum(ss_sales_price) sum_sales,
@@ -52,6 +52,10 @@ order by avg_quarterly_sales,
i_manufact_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -68,18 +72,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -98,61 +124,135 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 7, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: item
filterExpr: ((((i_category) IN ('Books', 'Children', 'Electronics') and (i_class) IN ('personal', 'portable', 'reference', 'self-help') and (i_brand) IN ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9')) or ((i_category) IN ('Women', 'Music', 'Men') and (i_class) IN ('accessories', 'classical', 'fragrances', 'pants') and (i_brand) IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterStringColumnInList(col 12, values Books, Children, Electronics), FilterStringColumnInList(col 10, values personal, portable, reference, self-help), FilterStringColumnInList(col 8, values scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9)), FilterExprAndExpr(children: FilterStringColumnInList(col 12, values Women, Music, Men), FilterStringColumnInList(col 10, values accessories, classical, fragrances, pants), FilterStringColumnInList(col 8, values amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1))), SelectColumnIsNotNull(col 0:int))
predicate: ((((i_category) IN ('Books', 'Children', 'Electronics') and (i_class) IN ('personal', 'portable', 'reference', 'self-help') and (i_brand) IN ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9')) or ((i_category) IN ('Women', 'Music', 'Men') and (i_class) IN ('accessories', 'classical', 'fragrances', 'pants') and (i_brand) IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 13]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_month_seq) IN (1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 3:int, values [1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223]), SelectColumnIsNotNull(col 0:int))
predicate: ((d_month_seq) IN (1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_qoy (type: int)
outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 10]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -171,6 +271,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -203,6 +308,11 @@ STAGE PLANS:
Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: Only PTF directly under reduce-shuffle is supported
+ vectorized: false
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
@@ -252,16 +362,32 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey2 (type: int), KEY.reducesinkkey1 (type: decimal(17,2)), KEY.reducesinkkey0 (type: decimal(21,6))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 1, 0]
Statistics: Num rows: 191662559 Data size: 16908526602 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[39/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query26.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query26.q.out b/ql/src/test/results/clientpositive/perf/spark/query26.q.out
index 17bbc6a..a3fe272 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query26.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query26.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_item_id,
avg(cs_quantity) agg1,
avg(cs_list_price) agg2,
@@ -18,7 +18,7 @@ select i_item_id,
order by i_item_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_item_id,
avg(cs_quantity) agg1,
avg(cs_list_price) agg2,
@@ -38,6 +38,10 @@ select i_item_id,
order by i_item_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -54,18 +58,40 @@ STAGE PLANS:
alias: promotion
filterExpr: (((p_channel_email = 'N') or (p_channel_event = 'N')) and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 9:string, val N), FilterStringGroupColEqualStringScalar(col 14:string, val N)), SelectColumnIsNotNull(col 0:int))
predicate: (((p_channel_email = 'N') or (p_channel_event = 'N')) and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: p_promo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -85,79 +111,176 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_bill_cdemo_sk is not null and cs_sold_date_sk is not null and cs_item_sk is not null and cs_promo_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 16:int))
predicate: (cs_bill_cdemo_sk is not null and cs_item_sk is not null and cs_promo_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_cdemo_sk (type: int), cs_item_sk (type: int), cs_promo_sk (type: int), cs_quantity (type: int), cs_list_price (type: decimal(7,2)), cs_sales_price (type: decimal(7,2)), cs_coupon_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 15, 16, 18, 20, 21, 27]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: customer_demographics
filterExpr: ((cd_gender = 'F') and (cd_marital_status = 'W') and (cd_education_status = 'Primary') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 1:string, val F), FilterStringGroupColEqualStringScalar(col 2:string, val W), FilterStringGroupColEqualStringScalar(col 3:string, val Primary), SelectColumnIsNotNull(col 0:int))
predicate: ((cd_education_status = 'Primary') and (cd_gender = 'F') and (cd_marital_status = 'W') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 232725 Data size: 89648269 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 232725 Data size: 89648269 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 232725 Data size: 89648269 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1998), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -176,6 +299,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -202,6 +330,11 @@ STAGE PLANS:
Statistics: Num rows: 383314495 Data size: 51908482889 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -226,9 +359,23 @@ STAGE PLANS:
value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: bigint), _col5 (type: decimal(17,2)), _col6 (type: bigint), _col7 (type: decimal(17,2)), _col8 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), sum(VALUE._col2), count(VALUE._col3), sum(VALUE._col4), count(VALUE._col5), sum(VALUE._col6), count(VALUE._col7)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 1:bigint) -> bigint, VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 4:bigint) -> bigint, VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 6:bigint) -> bigint, VectorUDAFSumDecimal(col 7:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 8:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
@@ -236,25 +383,50 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), (_col1 / _col2) (type: double), (_col3 / _col4) (type: decimal(37,22)), (_col5 / _col6) (type: decimal(37,22)), (_col7 / _col8) (type: decimal(37,22))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 9, 11, 12, 13]
+ selectExpressions: LongColDivideLongColumn(col 1:bigint, col 2:bigint) -> 9:double, DecimalColDivideDecimalColumn(col 3:decimal(17,2), col 10:decimal(19,0))(children: CastLongToDecimal(col 4:bigint) -> 10:decimal(19,0)) -> 11:decimal(37,22), DecimalColDivideDecimalColumn(col 5:decimal(17,2), col 10:decimal(19,0))(children: CastLongToDecimal(col 6:bigint) -> 10:decimal(19,0)) -> 12:decimal(37,22), DecimalColDivideDecimalColumn(col 7:decimal(17,2), col 10:decimal(19,0))(children: CastLongToDecimal(col 8:bigint) -> 10:decimal(19,0)) -> 13:decimal(37,22)
Statistics: Num rows: 210822976 Data size: 28549666139 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 210822976 Data size: 28549666139 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: double), _col2 (type: decimal(37,22)), _col3 (type: decimal(37,22)), _col4 (type: decimal(37,22))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: double), VALUE._col1 (type: decimal(37,22)), VALUE._col2 (type: decimal(37,22)), VALUE._col3 (type: decimal(37,22))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
Statistics: Num rows: 210822976 Data size: 28549666139 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query27.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query27.q.out b/ql/src/test/results/clientpositive/perf/spark/query27.q.out
index 294222e..82b4dbf 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query27.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query27.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_item_id,
s_state, grouping(s_state) g_state,
avg(ss_quantity) agg1,
@@ -20,7 +20,7 @@ select i_item_id,
,s_state
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_item_id,
s_state, grouping(s_state) g_state,
avg(ss_quantity) agg1,
@@ -42,6 +42,10 @@ select i_item_id,
,s_state
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -58,18 +62,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_state) IN ('SD', 'FL', 'MI', 'LA', 'MO', 'SC') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 24, values SD, FL, MI, LA, MO, SC), SelectColumnIsNotNull(col 0:int))
predicate: ((s_state) IN ('SD', 'FL', 'MI', 'LA', 'MO', 'SC') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 24]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -89,79 +115,176 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_cdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_cdemo_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_cdemo_sk (type: int), ss_store_sk (type: int), ss_quantity (type: int), ss_list_price (type: decimal(7,2)), ss_sales_price (type: decimal(7,2)), ss_coupon_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4, 7, 10, 12, 13, 19]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int)
sort order: +
Map-reduce partition columns: _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: customer_demographics
filterExpr: ((cd_gender = 'M') and (cd_marital_status = 'U') and (cd_education_status = '2 yr Degree') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 1:string, val M), FilterStringGroupColEqualStringScalar(col 2:string, val U), FilterStringGroupColEqualStringScalar(col 3:string, val 2 yr Degree), SelectColumnIsNotNull(col 0:int))
predicate: ((cd_education_status = '2 yr Degree') and (cd_gender = 'M') and (cd_marital_status = 'U') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 232725 Data size: 89648269 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 232725 Data size: 89648269 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 232725 Data size: 89648269 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -180,6 +303,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -206,6 +334,11 @@ STAGE PLANS:
Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col15 (type: string)
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -234,9 +367,23 @@ STAGE PLANS:
value expressions: _col3 (type: bigint), _col4 (type: bigint), _col5 (type: decimal(17,2)), _col6 (type: bigint), _col7 (type: decimal(17,2)), _col8 (type: bigint), _col9 (type: decimal(17,2)), _col10 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: true
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), sum(VALUE._col2), count(VALUE._col3), sum(VALUE._col4), count(VALUE._col5), sum(VALUE._col6), count(VALUE._col7)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFCountMerge(col 4:bigint) -> bigint, VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 6:bigint) -> bigint, VectorUDAFSumDecimal(col 7:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 8:bigint) -> bigint, VectorUDAFSumDecimal(col 9:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 10:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:bigint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
@@ -244,25 +391,50 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), grouping(_col2, 0) (type: bigint), (_col3 / _col4) (type: double), (_col5 / _col6) (type: decimal(37,22)), (_col7 / _col8) (type: decimal(37,22)), (_col9 / _col10) (type: decimal(37,22))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 11, 12, 14, 15, 16]
+ selectExpressions: VectorUDFAdaptor(grouping(_col2, 0)) -> 11:bigint, LongColDivideLongColumn(col 3:bigint, col 4:bigint) -> 12:double, DecimalColDivideDecimalColumn(col 5:decimal(17,2), col 13:decimal(19,0))(children: CastLongToDecimal(col 6:bigint) -> 13:decimal(19,0)) -> 14:decimal(37,22), DecimalColDivideDecimalColumn(col 7:decimal(17,2), col 13:decimal(19,0))(children: CastLongToDecimal(col 8:bigint) -> 13:decimal(19,0)) -> 15:decimal(37,22), DecimalColDivideDecimalColumn(col 9:decimal(17,2), col 13:decimal(19,0))(children: CastLongToDecimal(col 10:bigint) -> 13:decimal(19,0)) -> 16:decimal(37,22)
Statistics: Num rows: 1264972921 Data size: 111596278389 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string)
sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1264972921 Data size: 111596278389 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col2 (type: bigint), _col3 (type: double), _col4 (type: decimal(37,22)), _col5 (type: decimal(37,22)), _col6 (type: decimal(37,22))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: double), VALUE._col2 (type: decimal(37,22)), VALUE._col3 (type: decimal(37,22)), VALUE._col4 (type: decimal(37,22))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6]
Statistics: Num rows: 1264972921 Data size: 111596278389 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[03/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query83.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query83.q.out b/ql/src/test/results/clientpositive/perf/spark/query83.q.out
index 1199d29..6a38c0d 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query83.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query83.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with sr_items as
(select i_item_id item_id,
sum(sr_return_quantity) sr_item_qty
@@ -64,7 +64,7 @@ with sr_items as
,sr_item_qty
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with sr_items as
(select i_item_id item_id,
sum(sr_return_quantity) sr_item_qty
@@ -130,6 +130,10 @@ with sr_items as
,sr_item_qty
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -166,54 +170,117 @@ STAGE PLANS:
alias: catalog_returns
filterExpr: (cr_item_sk is not null and cr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (cr_item_sk is not null and cr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_returned_date_sk (type: int), cr_item_sk (type: int), cr_return_quantity (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 17]
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_week_seq is not null and d_date is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 2:string))
predicate: (d_date is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date (type: string), d_week_seq (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 4]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_date) IN ('1998-01-02', '1998-10-15', '1998-11-10') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 2, values 1998-01-02, 1998-10-15, 1998-11-10), SelectColumnIsNotNull(col 4:int))
predicate: ((d_date) IN ('1998-01-02', '1998-10-15', '1998-11-10') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 4:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
@@ -222,102 +289,224 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: (sr_item_sk is not null and sr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (sr_item_sk is not null and sr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_returned_date_sk (type: int), sr_item_sk (type: int), sr_return_quantity (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 10]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_item_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:string), SelectColumnIsNotNull(col 0:int))
predicate: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 21
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_week_seq is not null and d_date is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 2:string))
predicate: (d_date is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date (type: string), d_week_seq (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 4]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 24
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_date) IN ('1998-01-02', '1998-10-15', '1998-11-10') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 2, values 1998-01-02, 1998-10-15, 1998-11-10), SelectColumnIsNotNull(col 4:int))
predicate: ((d_date) IN ('1998-01-02', '1998-10-15', '1998-11-10') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 4:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
@@ -326,102 +515,224 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: (wr_item_sk is not null and wr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (wr_item_sk is not null and wr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wr_returned_date_sk (type: int), wr_item_sk (type: int), wr_return_quantity (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 14]
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 29
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_item_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 30
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:string), SelectColumnIsNotNull(col 0:int))
predicate: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 32
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_week_seq is not null and d_date is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 2:string))
predicate: (d_date is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date (type: string), d_week_seq (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 4]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 35
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_date) IN ('1998-01-02', '1998-10-15', '1998-11-10') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 2, values 1998-01-02, 1998-10-15, 1998-11-10), SelectColumnIsNotNull(col 4:int))
predicate: ((d_date) IN ('1998-01-02', '1998-10-15', '1998-11-10') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 4:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
@@ -430,49 +741,113 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_item_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:string), SelectColumnIsNotNull(col 0:int))
predicate: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -494,8 +869,21 @@ STAGE PLANS:
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -504,8 +892,17 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40176 Data size: 44957448 Basic stats: COMPLETE Column stats: NONE
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -522,6 +919,11 @@ STAGE PLANS:
Statistics: Num rows: 63350266 Data size: 4908414421 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col4 (type: string)
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -545,9 +947,23 @@ STAGE PLANS:
value expressions: _col1 (type: bigint)
Reducer 17
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -556,9 +972,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 34842647 Data size: 2699627990 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: bigint)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -575,6 +1000,11 @@ STAGE PLANS:
Statistics: Num rows: 31678769 Data size: 3362958220 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col4 (type: string)
Reducer 20
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -590,6 +1020,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -611,8 +1046,21 @@ STAGE PLANS:
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 23
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -621,8 +1069,17 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40176 Data size: 44957448 Basic stats: COMPLETE Column stats: NONE
Reducer 26
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -639,6 +1096,11 @@ STAGE PLANS:
Statistics: Num rows: 15838314 Data size: 1457713633 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col4 (type: string)
Reducer 27
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -662,9 +1124,23 @@ STAGE PLANS:
value expressions: _col1 (type: bigint)
Reducer 28
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -673,9 +1149,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8711072 Data size: 801742469 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: bigint)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -698,6 +1183,11 @@ STAGE PLANS:
Statistics: Num rows: 34846646 Data size: 3699254122 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: bigint)
Reducer 31
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -713,6 +1203,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 33
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -734,8 +1229,21 @@ STAGE PLANS:
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 34
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -744,12 +1252,30 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40176 Data size: 44957448 Basic stats: COMPLETE Column stats: NONE
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -758,9 +1284,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 17423323 Data size: 1849627061 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: bigint)
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -784,22 +1319,43 @@ STAGE PLANS:
value expressions: _col2 (type: double), _col3 (type: bigint), _col4 (type: double), _col5 (type: bigint), _col6 (type: double), _col7 (type: decimal(25,6))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: bigint), VALUE._col0 (type: double), VALUE._col1 (type: bigint), VALUE._col2 (type: double), VALUE._col3 (type: bigint), VALUE._col4 (type: double), VALUE._col5 (type: decimal(25,6))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7]
Statistics: Num rows: 76653825 Data size: 5939181706 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 7700 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 7700 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query84.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query84.q.out b/ql/src/test/results/clientpositive/perf/spark/query84.q.out
index 0e62a3e..9bff3ee 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query84.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query84.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select c_customer_id as customer_id
,c_last_name || ', ' || c_first_name as customername
from customer
@@ -18,7 +18,7 @@ select c_customer_id as customer_id
order by c_customer_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select c_customer_id as customer_id
,c_last_name || ', ' || c_first_name as customername
from customer
@@ -38,6 +38,10 @@ select c_customer_id as customer_id
order by c_customer_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-3 is a root stage
Stage-2 depends on stages: Stage-3
@@ -55,18 +59,40 @@ STAGE PLANS:
alias: income_band
filterExpr: ((ib_lower_bound >= 32287) and (ib_upper_bound <= 82287) and ib_income_band_sk is not null) (type: boolean)
Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColGreaterEqualLongScalar(col 1:int, val 32287), FilterLongColLessEqualLongScalar(col 2:int, val 82287), SelectColumnIsNotNull(col 0:int))
predicate: ((ib_lower_bound >= 32287) and (ib_upper_bound <= 82287) and ib_income_band_sk is not null) (type: boolean)
Statistics: Num rows: 2 Data size: 24 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ib_income_band_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 2 Data size: 24 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -80,12 +106,22 @@ STAGE PLANS:
alias: household_demographics
filterExpr: (hd_demo_sk is not null and hd_income_band_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:int))
predicate: (hd_demo_sk is not null and hd_income_band_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: hd_demo_sk (type: int), hd_income_band_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -93,15 +129,31 @@ STAGE PLANS:
keys:
0 _col1 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0
input vertices:
1 Map 9
Statistics: Num rows: 7920 Data size: 847440 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -119,78 +171,175 @@ STAGE PLANS:
alias: store_returns
filterExpr: sr_cdemo_sk is not null (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 4:int)
predicate: sr_cdemo_sk is not null (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_cdemo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 4
Map Operator Tree:
TableScan
alias: customer_demographics
filterExpr: cd_demo_sk is not null (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cd_demo_sk is not null (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 5
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_current_hdemo_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 3:int))
predicate: (c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_current_hdemo_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_id (type: string), c_current_cdemo_sk (type: int), c_current_hdemo_sk (type: int), c_current_addr_sk (type: int), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 2, 3, 4, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col3 (type: int)
sort order: +
Map-reduce partition columns: _col3 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col4 (type: string), _col5 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_city = 'Hopewell') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 6:string, val Hopewell), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_city = 'Hopewell') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -214,16 +363,32 @@ STAGE PLANS:
value expressions: _col1 (type: string)
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 212960011 Data size: 183149913305 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
@@ -232,6 +397,11 @@ STAGE PLANS:
Reducer 6
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
[31/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query4.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query4.q.out b/ql/src/test/results/clientpositive/perf/spark/query4.q.out
index 3472613..c49733b 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query4.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query4.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
@@ -106,7 +106,7 @@ union all
order by t_s_secyear.customer_preferred_cust_flag
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
@@ -214,6 +214,10 @@ union all
order by t_s_secyear.customer_preferred_cust_flag
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -250,355 +254,774 @@ STAGE PLANS:
alias: web_sales
filterExpr: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int), ws_ext_discount_amt (type: decimal(7,2)), ws_ext_sales_price (type: decimal(7,2)), ws_ext_wholesale_cost (type: decimal(7,2)), ws_ext_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 22, 23, 24, 25]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_country (type: string), c_login (type: string), c_email_address (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9, 10, 14, 15, 16]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_bill_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_bill_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int), cs_ext_discount_amt (type: decimal(7,2)), cs_ext_sales_price (type: decimal(7,2)), cs_ext_wholesale_cost (type: decimal(7,2)), cs_ext_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 22, 23, 24, 25]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_country (type: string), c_login (type: string), c_email_address (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9, 10, 14, 15, 16]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 21
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int), ws_ext_discount_amt (type: decimal(7,2)), ws_ext_sales_price (type: decimal(7,2)), ws_ext_wholesale_cost (type: decimal(7,2)), ws_ext_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 22, 23, 24, 25]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 26
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_country (type: string), c_login (type: string), c_email_address (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9, 10, 14, 15, 16]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 27
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_bill_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_bill_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int), cs_ext_discount_amt (type: decimal(7,2)), cs_ext_sales_price (type: decimal(7,2)), cs_ext_wholesale_cost (type: decimal(7,2)), cs_ext_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 22, 23, 24, 25]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 31
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 32
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_country (type: string), c_login (type: string), c_email_address (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9, 10, 14, 15, 16]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 33
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_ext_discount_amt (type: decimal(7,2)), ss_ext_sales_price (type: decimal(7,2)), ss_ext_wholesale_cost (type: decimal(7,2)), ss_ext_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 14, 15, 16, 17]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 37
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 38
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_country (type: string), c_login (type: string), c_email_address (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9, 10, 14, 15, 16]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_country (type: string), c_login (type: string), c_email_address (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9, 10, 14, 15, 16]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_ext_discount_amt (type: decimal(7,2)), ss_ext_sales_price (type: decimal(7,2)), ss_ext_wholesale_cost (type: decimal(7,2)), ss_ext_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 14, 15, 16, 17]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -615,6 +1038,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -642,9 +1070,23 @@ STAGE PLANS:
value expressions: _col7 (type: decimal(24,6))
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 7:decimal(24,6)) -> decimal(24,6)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -652,21 +1094,42 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(24,6))
outputColumnNames: _col0, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterDecimalColGreaterDecimalScalar(col 7:decimal(24,6), val 0)
predicate: (_col7 > 0) (type: boolean)
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(24,6))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(24,6))
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -683,6 +1146,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Reducer 17
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -710,9 +1178,23 @@ STAGE PLANS:
value expressions: _col7 (type: decimal(24,6))
Reducer 18
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 7:decimal(24,6)) -> decimal(24,6)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -720,21 +1202,42 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(24,6))
outputColumnNames: _col0, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterDecimalColGreaterDecimalScalar(col 7:decimal(24,6), val 0)
predicate: (_col7 > 0) (type: boolean)
Statistics: Num rows: 58077952 Data size: 7864921389 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(24,6))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 58077952 Data size: 7864921389 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 58077952 Data size: 7864921389 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(24,6))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -751,6 +1254,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -767,6 +1275,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Reducer 23
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -794,9 +1307,23 @@ STAGE PLANS:
value expressions: _col7 (type: decimal(24,6))
Reducer 24
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 7:decimal(24,6)) -> decimal(24,6)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -804,21 +1331,42 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(24,6))
outputColumnNames: _col0, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterDecimalColGreaterDecimalScalar(col 7:decimal(24,6), val 0)
predicate: (_col7 > 0) (type: boolean)
Statistics: Num rows: 29040539 Data size: 3948673454 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(24,6))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 29040539 Data size: 3948673454 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 29040539 Data size: 3948673454 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(24,6))
Reducer 28
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -835,6 +1383,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Reducer 29
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -861,6 +1414,11 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
value expressions: _col7 (type: decimal(24,6))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -888,9 +1446,23 @@ STAGE PLANS:
value expressions: _col7 (type: decimal(24,6))
Reducer 30
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 7:decimal(24,6)) -> decimal(24,6)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -898,14 +1470,27 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(24,6))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(24,6))
Reducer 34
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -922,6 +1507,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Reducer 35
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -949,9 +1539,23 @@ STAGE PLANS:
value expressions: _col7 (type: decimal(24,6))
Reducer 36
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 7:decimal(24,6)) -> decimal(24,6)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -959,18 +1563,40 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col3 (type: string), _col7 (type: decimal(24,6))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 7]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: decimal(24,6))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 7:decimal(24,6)) -> decimal(24,6)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -978,14 +1604,27 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(24,6))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(24,6))
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -1017,16 +1656,32 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 479156399 Data size: 42271316627 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[50/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorCoalesceElt.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorCoalesceElt.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorCoalesceElt.java
index 0bca490..d367fb9 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorCoalesceElt.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorCoalesceElt.java
@@ -54,6 +54,7 @@ import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
+import org.apache.hadoop.io.IntWritable;
import junit.framework.Assert;
@@ -66,7 +67,11 @@ public class TestVectorCoalesceElt {
public void testCoalesce() throws Exception {
Random random = new Random(5371);
- doCoalesceElt(random, /* isCoalesce */ true, false);
+ // Grind through a few more index values...
+ int iteration = 0;
+ for (int i = 0; i < 10; i++) {
+ iteration = doCoalesceElt(random, iteration, /* isCoalesce */ true, false);
+ }
}
@Test
@@ -74,9 +79,10 @@ public class TestVectorCoalesceElt {
Random random = new Random(5371);
// Grind through a few more index values...
- for (int i = 0; i < 4; i++) {
- doCoalesceElt(random, /* isCoalesce */ false, false);
- doCoalesceElt(random, /* isCoalesce */ false, true);
+ int iteration = 0;
+ for (int i = 0; i < 10; i++) {
+ iteration = doCoalesceElt(random, iteration, /* isCoalesce */ false, false);
+ iteration = doCoalesceElt(random, iteration, /* isCoalesce */ false, true);
}
}
@@ -88,39 +94,41 @@ public class TestVectorCoalesceElt {
static final int count = values().length;
}
- private void doCoalesceElt(Random random, boolean isCoalesce, boolean isEltIndexConst)
- throws Exception {
+ private int doCoalesceElt(Random random, int iteration, boolean isCoalesce,
+ boolean isEltIndexConst)
+ throws Exception {
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 2,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 2,
/* constantColumns */ null, /* nullConstantColumns */ null, /* allowNulls */ true);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 2,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 2,
/* constantColumns */ null, /* nullConstantColumns */ null, /* allowNulls */ false);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 3,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 3,
/* constantColumns */ null, /* nullConstantColumns */ null, /* allowNulls */ true);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 3,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 3,
new int[] { 0 }, /* nullConstantColumns */ null, /* allowNulls */ true);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 3,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 3,
new int[] { 0 }, /* nullConstantColumns */ new int[] { 0 }, /* allowNulls */ true);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 3,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 3,
new int[] { 1 }, /* nullConstantColumns */ null, /* allowNulls */ true);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 3,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 3,
new int[] { 1 }, /* nullConstantColumns */ new int[] { 1 }, /* allowNulls */ true);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 3,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 3,
new int[] { 0, 2 }, /* nullConstantColumns */ null, /* allowNulls */ true);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 3,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 3,
new int[] { 0, 2 }, /* nullConstantColumns */ new int[] { 0 }, /* allowNulls */ true);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 3,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 3,
new int[] { 0, 2 }, /* nullConstantColumns */ new int[] { 0, 2 }, /* allowNulls */ false);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 4,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 4,
/* constantColumns */ null, /* nullConstantColumns */ null, /* allowNulls */ true);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 4,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 4,
/* constantColumns */ null, /* nullConstantColumns */ null, /* allowNulls */ false);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 4,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 4,
new int[] { 0, 1, 2 }, /* nullConstantColumns */ new int[] { 0, 1, 2 }, /* allowNulls */ true);
- doCoalesceOnRandomDataType(random, isCoalesce, isEltIndexConst, /* columnCount */ 4,
+ doCoalesceOnRandomDataType(random, iteration++, isCoalesce, isEltIndexConst, /* columnCount */ 4,
new int[] { 0, 1, 2 }, /* nullConstantColumns */ new int[] { 0, 1, 2 }, /* allowNulls */ false);
+ return iteration;
}
private boolean contains(int[] columns, int column) {
@@ -135,7 +143,7 @@ public class TestVectorCoalesceElt {
return false;
}
- private boolean doCoalesceOnRandomDataType(Random random,
+ private boolean doCoalesceOnRandomDataType(Random random, int iteration,
boolean isCoalesce, boolean isEltIndexConst, int columnCount,
int[] constantColumns, int[] nullConstantColumns, boolean allowNulls)
throws Exception {
@@ -187,17 +195,18 @@ public class TestVectorCoalesceElt {
List<Object> intValueList = new ArrayList<Object>();
for (int i = -1; i < columnCount + 2; i++) {
- intValueList.add(i);
+ intValueList.add(
+ new IntWritable(i));
}
final int intValueListCount = intValueList.size();
- ExprNodeDesc colExpr;
+ ExprNodeDesc intColExpr;
if (!isEltIndexConst) {
generationSpecList.add(
GenerationSpec.createValueList(intTypeInfo, intValueList));
explicitDataTypePhysicalVariationList.add(DataTypePhysicalVariation.NONE);
String columnName = "col" + columnNum++;
columns.add(columnName);
- colExpr = new ExprNodeColumnDesc(intTypeInfo, columnName, "table", false);
+ intColExpr = new ExprNodeColumnDesc(intTypeInfo, columnName, "table", false);
} else {
final Object scalarObject;
if (random.nextInt(10) != 0) {
@@ -205,8 +214,9 @@ public class TestVectorCoalesceElt {
} else {
scalarObject = null;
}
- colExpr = new ExprNodeConstantDesc(typeInfo, scalarObject);
+ intColExpr = new ExprNodeConstantDesc(typeInfo, scalarObject);
}
+ children.add(intColExpr);
}
for (int c = 0; c < columnCount; c++) {
ExprNodeDesc colExpr;
@@ -235,7 +245,8 @@ public class TestVectorCoalesceElt {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ allowNulls,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ allowNulls, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
String[] columnNames = columns.toArray(new String[0]);
@@ -295,6 +306,7 @@ public class TestVectorCoalesceElt {
case VECTOR_EXPRESSION:
if (!doVectorCastTest(
typeInfo,
+ iteration,
columns,
columnNames,
rowSource.typeInfos(),
@@ -327,9 +339,10 @@ public class TestVectorCoalesceElt {
"Row " + i +
" sourceTypeName " + typeName +
" " + coalesceEltTestMode +
+ " iteration " + iteration +
" result is NULL " + (vectorResult == null ? "YES" : "NO result " + vectorResult.toString()) +
" does not match row-mode expected result is NULL " +
- (expectedResult == null ? "YES" : "NO result " + expectedResult.toString()) +
+ (expectedResult == null ? "YES" : "NO result '" + expectedResult.toString()) + "'" +
" row values " + Arrays.toString(randomRows[i]) +
" exprDesc " + exprDesc.toString());
}
@@ -340,9 +353,10 @@ public class TestVectorCoalesceElt {
"Row " + i +
" sourceTypeName " + typeName +
" " + coalesceEltTestMode +
- " result " + vectorResult.toString() +
+ " iteration " + iteration +
+ " result '" + vectorResult.toString() + "'" +
" (" + vectorResult.getClass().getSimpleName() + ")" +
- " does not match row-mode expected result " + expectedResult.toString() +
+ " does not match row-mode expected result '" + expectedResult.toString() + "'" +
" (" + expectedResult.getClass().getSimpleName() + ")" +
" row values " + Arrays.toString(randomRows[i]) +
" exprDesc " + exprDesc.toString());
@@ -410,7 +424,7 @@ public class TestVectorCoalesceElt {
}
}
- private boolean doVectorCastTest(TypeInfo typeInfo,
+ private boolean doVectorCastTest(TypeInfo typeInfo, int iteration,
List<String> columns, String[] columnNames,
TypeInfo[] typeInfos, DataTypePhysicalVariation[] dataTypePhysicalVariations,
List<ExprNodeDesc> children,
@@ -445,7 +459,7 @@ public class TestVectorCoalesceElt {
" vectorExpression " + vectorExpression.toString());
}
- System.out.println("*VECTOR EXPRESSION* " + vectorExpression.getClass().getSimpleName());
+ // System.out.println("*VECTOR EXPRESSION* " + vectorExpression.getClass().getSimpleName());
/*
System.out.println(
@@ -474,17 +488,6 @@ public class TestVectorCoalesceElt {
new TypeInfo[] { outputTypeInfo }, new int[] { vectorExpression.getOutputColumnNum() });
Object[] scrqtchRow = new Object[1];
- // System.out.println("*VECTOR EXPRESSION* " + vectorExpression.getClass().getSimpleName());
-
- /*
- System.out.println(
- "*DEBUG* typeInfo1 " + typeInfo1.toString() +
- " typeInfo2 " + typeInfo2.toString() +
- " arithmeticTestMode " + arithmeticTestMode +
- " columnScalarMode " + columnScalarMode +
- " vectorExpression " + vectorExpression.toString());
- */
-
batchSource.resetBatchIteration();
int rowIndex = 0;
while (true) {
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorDateAddSub.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorDateAddSub.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorDateAddSub.java
index 68c14c8..b0e4b26 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorDateAddSub.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorDateAddSub.java
@@ -25,8 +25,6 @@ import java.util.List;
import java.util.Random;
import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
-import org.apache.hadoop.hive.common.type.HiveChar;
-import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorFactory;
@@ -46,23 +44,18 @@ import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFDateAdd;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFDateSub;
-import org.apache.hadoop.hive.serde2.io.HiveCharWritable;
import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
-import org.apache.hadoop.hive.serde2.io.HiveVarcharWritable;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.ObjectInspectorCopyOption;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
-import org.apache.hadoop.hive.serde2.typeinfo.CharTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
-import org.apache.hadoop.hive.serde2.typeinfo.VarcharTypeInfo;
import org.apache.hadoop.hive.serde2.io.ShortWritable;
import org.apache.hadoop.io.IntWritable;
-import org.apache.hadoop.io.LongWritable;
import junit.framework.Assert;
@@ -242,7 +235,8 @@ public class TestVectorDateAddSub {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
Object[][] randomRows = rowSource.randomRows(100000);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorDateDiff.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorDateDiff.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorDateDiff.java
index 0da9d8c..d89299c 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorDateDiff.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorDateDiff.java
@@ -25,8 +25,6 @@ import java.util.List;
import java.util.Random;
import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
-import org.apache.hadoop.hive.common.type.HiveChar;
-import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorFactory;
@@ -54,16 +52,12 @@ import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.ObjectInspectorCopyOption;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
-import org.apache.hadoop.hive.serde2.typeinfo.CharTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
-import org.apache.hadoop.hive.serde2.typeinfo.VarcharTypeInfo;
import org.apache.hadoop.hive.serde2.io.ShortWritable;
-import org.apache.hadoop.io.IntWritable;
-import org.apache.hadoop.io.LongWritable;
import junit.framework.Assert;
@@ -251,7 +245,8 @@ public class TestVectorDateDiff {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
Object[][] randomRows = rowSource.randomRows(100000);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorFilterCompare.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorFilterCompare.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorFilterCompare.java
index ba9eaca..abdbc1c 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorFilterCompare.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorFilterCompare.java
@@ -26,9 +26,7 @@ import java.util.List;
import java.util.Random;
import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
-import org.apache.hadoop.hive.common.type.HiveChar;
import org.apache.hadoop.hive.common.type.HiveDecimal;
-import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorFactory;
@@ -60,12 +58,8 @@ import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPLessThan;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqualOrGreaterThan;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqualOrLessThan;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPEqual;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDF.DeferredJavaObject;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDF.DeferredObject;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNotEqual;
-import org.apache.hadoop.hive.serde2.io.HiveCharWritable;
import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
-import org.apache.hadoop.hive.serde2.io.HiveVarcharWritable;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.ObjectInspectorCopyOption;
@@ -77,9 +71,6 @@ import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
import org.apache.hadoop.hive.serde2.typeinfo.VarcharTypeInfo;
-import org.apache.hadoop.hive.serde2.io.ShortWritable;
-import org.apache.hadoop.io.IntWritable;
-import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.BooleanWritable;
import junit.framework.Assert;
@@ -402,7 +393,8 @@ public class TestVectorFilterCompare {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
Object[][] randomRows = rowSource.randomRows(100000);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorIfStatement.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorIfStatement.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorIfStatement.java
index d8ae175..ce66e2b 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorIfStatement.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorIfStatement.java
@@ -273,7 +273,8 @@ public class TestVectorIfStatement {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initExplicitSchema(
- random, explicitTypeNameList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, explicitTypeNameList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
List<String> columns = new ArrayList<String>();
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorIndex.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorIndex.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorIndex.java
index 648feb0..9a49088 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorIndex.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorIndex.java
@@ -28,8 +28,6 @@ import java.util.TreeSet;
import java.util.stream.IntStream;
import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
-import org.apache.hadoop.hive.common.type.HiveChar;
-import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorFactory;
@@ -306,7 +304,8 @@ public class TestVectorIndex {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ allowNulls,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ allowNulls, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
String[] columnNames = columns.toArray(new String[0]);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorNegative.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorNegative.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorNegative.java
index ea39848..a3f665b 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorNegative.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorNegative.java
@@ -51,34 +51,16 @@ import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
import org.apache.hadoop.hive.ql.session.SessionState;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFDateAdd;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFDateDiff;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFDateSub;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPDivide;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPMinus;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPMod;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPMultiply;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNegative;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPPlus;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDF.DeferredJavaObject;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDF.DeferredObject;
-import org.apache.hadoop.hive.serde2.io.HiveCharWritable;
-import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
-import org.apache.hadoop.hive.serde2.io.HiveVarcharWritable;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.ObjectInspectorCopyOption;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
-import org.apache.hadoop.hive.serde2.typeinfo.CharTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
-import org.apache.hadoop.hive.serde2.typeinfo.VarcharTypeInfo;
-import org.apache.hadoop.hive.serde2.io.ShortWritable;
-import org.apache.hadoop.io.IntWritable;
-import org.apache.hadoop.io.LongWritable;
import junit.framework.Assert;
@@ -219,7 +201,8 @@ public class TestVectorNegative {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
Object[][] randomRows = rowSource.randomRows(100000);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorNull.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorNull.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorNull.java
index 9b0a2ae..06d8fc8 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorNull.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorNull.java
@@ -24,8 +24,6 @@ import java.util.List;
import java.util.Random;
import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
-import org.apache.hadoop.hive.common.type.HiveChar;
-import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorFactory;
@@ -52,26 +50,17 @@ import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNot;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNotNull;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNull;
-import org.apache.hadoop.hive.serde2.io.DoubleWritable;
-import org.apache.hadoop.hive.serde2.io.HiveCharWritable;
-import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
-import org.apache.hadoop.hive.serde2.io.HiveVarcharWritable;
import org.apache.hadoop.hive.serde2.objectinspector.ConstantObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.ObjectInspectorCopyOption;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.PrimitiveObjectInspectorFactory;
-import org.apache.hadoop.hive.serde2.typeinfo.CharTypeInfo;
-import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
-import org.apache.hadoop.hive.serde2.typeinfo.VarcharTypeInfo;
import org.apache.hadoop.io.BooleanWritable;
-import org.apache.hadoop.io.LongWritable;
-import org.apache.hadoop.io.Text;
import junit.framework.Assert;
@@ -159,7 +148,8 @@ public class TestVectorNull {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
List<String> columns = new ArrayList<String>();
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStringConcat.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStringConcat.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStringConcat.java
index 8877b06..bb41c4f 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStringConcat.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStringConcat.java
@@ -191,7 +191,8 @@ public class TestVectorStringConcat {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
Object[][] randomRows = rowSource.randomRows(100000);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStringUnary.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStringUnary.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStringUnary.java
index dd53157..4099b45 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStringUnary.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStringUnary.java
@@ -149,7 +149,8 @@ public class TestVectorStringUnary {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
List<ExprNodeDesc> children = new ArrayList<ExprNodeDesc>();
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStructField.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStructField.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStructField.java
new file mode 100644
index 0000000..5062997
--- /dev/null
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorStructField.java
@@ -0,0 +1,370 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+package org.apache.hadoop.hive.ql.exec.vector.expressions;
+
+import java.lang.reflect.Constructor;
+import java.nio.charset.StandardCharsets;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
+import java.util.Random;
+
+import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
+import org.apache.hadoop.hive.common.type.HiveChar;
+import org.apache.hadoop.hive.common.type.HiveDecimal;
+import org.apache.hadoop.hive.common.type.HiveVarchar;
+import org.apache.hadoop.hive.conf.HiveConf;
+import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
+import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorFactory;
+import org.apache.hadoop.hive.ql.exec.FunctionInfo;
+import org.apache.hadoop.hive.ql.exec.FunctionRegistry;
+import org.apache.hadoop.hive.ql.exec.vector.VectorExtractRow;
+import org.apache.hadoop.hive.ql.exec.vector.VectorRandomBatchSource;
+import org.apache.hadoop.hive.ql.exec.vector.VectorRandomRowSource;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizationContext;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatchCtx;
+import org.apache.hadoop.hive.ql.exec.vector.VectorRandomRowSource.GenerationSpec;
+import org.apache.hadoop.hive.ql.exec.vector.VectorRandomRowSource.SupportedTypes;
+import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
+import org.apache.hadoop.hive.ql.exec.vector.udf.VectorUDFAdaptor;
+import org.apache.hadoop.hive.ql.metadata.HiveException;
+import org.apache.hadoop.hive.ql.parse.SemanticException;
+import org.apache.hadoop.hive.ql.plan.ExprNodeColumnDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeConstantDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeFieldDesc;
+import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
+import org.apache.hadoop.hive.ql.session.SessionState;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
+import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPNegative;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils;
+import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.ObjectInspectorCopyOption;
+import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
+import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
+
+import junit.framework.Assert;
+
+import org.junit.Ignore;
+import org.junit.Test;
+
+public class TestVectorStructField {
+
+ @Test
+ public void testStructField() throws Exception {
+ Random random = new Random(7743);
+
+ for (int i = 0; i < 5; i++) {
+ doStructFieldTests(random);
+ }
+ }
+
+ public enum StructFieldTestMode {
+ ROW_MODE,
+ VECTOR_EXPRESSION;
+
+ static final int count = values().length;
+ }
+
+ private void doStructFieldTests(Random random) throws Exception {
+ String structTypeName =
+ VectorRandomRowSource.getDecoratedTypeName(
+ random, "struct", SupportedTypes.ALL, /* allowedTypeNameSet */ null,
+ /* depth */ 0, /* maxDepth */ 2);
+ StructTypeInfo structTypeInfo =
+ (StructTypeInfo) TypeInfoUtils.getTypeInfoFromTypeString(structTypeName);
+
+ List<String> fieldNameList = structTypeInfo.getAllStructFieldNames();
+ final int fieldCount = fieldNameList.size();
+ for (int fieldIndex = 0; fieldIndex < fieldCount; fieldIndex++) {
+ doOneStructFieldTest(random, structTypeInfo, structTypeName, fieldIndex);
+ }
+ }
+
+ private void doOneStructFieldTest(Random random, StructTypeInfo structTypeInfo,
+ String structTypeName, int fieldIndex)
+ throws Exception {
+
+ List<GenerationSpec> generationSpecList = new ArrayList<GenerationSpec>();
+ List<DataTypePhysicalVariation> explicitDataTypePhysicalVariationList =
+ new ArrayList<DataTypePhysicalVariation>();
+
+ List<String> columns = new ArrayList<String>();
+ int columnNum = 1;
+
+ generationSpecList.add(
+ GenerationSpec.createSameType(structTypeInfo));
+ explicitDataTypePhysicalVariationList.add(DataTypePhysicalVariation.NONE);
+
+ ExprNodeDesc col1Expr;
+ String columnName = "col" + (columnNum++);
+ col1Expr = new ExprNodeColumnDesc(structTypeInfo, columnName, "table", false);
+ columns.add(columnName);
+
+ ObjectInspector structObjectInspector =
+ VectorRandomRowSource.getObjectInspector(structTypeInfo);
+ List<ObjectInspector> objectInspectorList = new ArrayList<ObjectInspector>();
+ objectInspectorList.add(structObjectInspector);
+
+ List<ExprNodeDesc> children = new ArrayList<ExprNodeDesc>();
+ children.add(col1Expr);
+
+ //----------------------------------------------------------------------------------------------
+
+ String[] columnNames = columns.toArray(new String[0]);
+
+ VectorRandomRowSource rowSource = new VectorRandomRowSource();
+
+ rowSource.initGenerationSpecSchema(
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
+ explicitDataTypePhysicalVariationList);
+
+ Object[][] randomRows = rowSource.randomRows(100000);
+
+ VectorRandomBatchSource batchSource =
+ VectorRandomBatchSource.createInterestingBatches(
+ random,
+ rowSource,
+ randomRows,
+ null);
+
+ List<String> fieldNameList = structTypeInfo.getAllStructFieldNames();
+ List<TypeInfo> fieldTypeInfoList = structTypeInfo.getAllStructFieldTypeInfos();
+
+ String randomFieldName = fieldNameList.get(fieldIndex);
+ TypeInfo outputTypeInfo = fieldTypeInfoList.get(fieldIndex);
+
+ ExprNodeFieldDesc exprNodeFieldDesc =
+ new ExprNodeFieldDesc(outputTypeInfo, col1Expr, randomFieldName, /* isList */ false);
+
+ final int rowCount = randomRows.length;
+ Object[][] resultObjectsArray = new Object[StructFieldTestMode.count][];
+ for (int i = 0; i < StructFieldTestMode.count; i++) {
+
+ Object[] resultObjects = new Object[rowCount];
+ resultObjectsArray[i] = resultObjects;
+
+ StructFieldTestMode negativeTestMode = StructFieldTestMode.values()[i];
+ switch (negativeTestMode) {
+ case ROW_MODE:
+ doRowStructFieldTest(
+ structTypeInfo,
+ columns,
+ children,
+ exprNodeFieldDesc,
+ randomRows,
+ rowSource.rowStructObjectInspector(),
+ outputTypeInfo,
+ resultObjects);
+ break;
+ case VECTOR_EXPRESSION:
+ doVectorStructFieldTest(
+ structTypeInfo,
+ columns,
+ columnNames,
+ rowSource.typeInfos(),
+ rowSource.dataTypePhysicalVariations(),
+ children,
+ exprNodeFieldDesc,
+ negativeTestMode,
+ batchSource,
+ exprNodeFieldDesc.getWritableObjectInspector(),
+ outputTypeInfo,
+ resultObjects);
+ break;
+ default:
+ throw new RuntimeException("Unexpected Negative operator test mode " + negativeTestMode);
+ }
+ }
+
+ for (int i = 0; i < rowCount; i++) {
+ // Row-mode is the expected value.
+ Object expectedResult = resultObjectsArray[0][i];
+
+ for (int v = 1; v < StructFieldTestMode.count; v++) {
+ Object vectorResult = resultObjectsArray[v][i];
+ if (expectedResult == null || vectorResult == null) {
+ if (expectedResult != null || vectorResult != null) {
+ Assert.fail(
+ "Row " + i +
+ " structTypeName " + structTypeName +
+ " outputTypeName " + outputTypeInfo.getTypeName() +
+ " " + StructFieldTestMode.values()[v] +
+ " result is NULL " + (vectorResult == null) +
+ " does not match row-mode expected result is NULL " + (expectedResult == null) +
+ " row values " + Arrays.toString(randomRows[i]));
+ }
+ } else {
+
+ if (!expectedResult.equals(vectorResult)) {
+ Assert.fail(
+ "Row " + i +
+ " structTypeName " + structTypeName +
+ " outputTypeName " + outputTypeInfo.getTypeName() +
+ " " + StructFieldTestMode.values()[v] +
+ " result " + vectorResult.toString() +
+ " (" + vectorResult.getClass().getSimpleName() + ")" +
+ " does not match row-mode expected result " + expectedResult.toString() +
+ " (" + expectedResult.getClass().getSimpleName() + ")" +
+ " row values " + Arrays.toString(randomRows[i]));
+ }
+ }
+ }
+ }
+ }
+
+ private void doRowStructFieldTest(TypeInfo typeInfo,
+ List<String> columns, List<ExprNodeDesc> children,
+ ExprNodeFieldDesc exprNodeFieldDesc,
+ Object[][] randomRows,
+ ObjectInspector rowInspector,
+ TypeInfo outputTypeInfo, Object[] resultObjects) throws Exception {
+
+ /*
+ System.out.println(
+ "*DEBUG* typeInfo " + typeInfo.toString() +
+ " negativeTestMode ROW_MODE" +
+ " exprDesc " + exprDesc.toString());
+ */
+
+ HiveConf hiveConf = new HiveConf();
+ ExprNodeEvaluator evaluator =
+ ExprNodeEvaluatorFactory.get(exprNodeFieldDesc, hiveConf);
+ evaluator.initialize(rowInspector);
+
+ ObjectInspector objectInspector =
+ TypeInfoUtils.getStandardWritableObjectInspectorFromTypeInfo(
+ outputTypeInfo);
+
+ final int rowCount = randomRows.length;
+ for (int i = 0; i < rowCount; i++) {
+ Object[] row = randomRows[i];
+ Object result = evaluator.evaluate(row);
+ Object copyResult = null;
+ try {
+ copyResult =
+ ObjectInspectorUtils.copyToStandardObject(
+ result, objectInspector, ObjectInspectorCopyOption.WRITABLE);
+ } catch (Exception e) {
+ System.out.println("here");
+ }
+ resultObjects[i] = copyResult;
+ }
+ }
+
+ private void extractResultObjects(VectorizedRowBatch batch, int rowIndex,
+ VectorExtractRow resultVectorExtractRow, Object[] scrqtchRow,
+ ObjectInspector objectInspector, Object[] resultObjects) {
+
+ boolean selectedInUse = batch.selectedInUse;
+ int[] selected = batch.selected;
+ for (int logicalIndex = 0; logicalIndex < batch.size; logicalIndex++) {
+ final int batchIndex = (selectedInUse ? selected[logicalIndex] : logicalIndex);
+ resultVectorExtractRow.extractRow(batch, batchIndex, scrqtchRow);
+
+ Object copyResult =
+ ObjectInspectorUtils.copyToStandardObject(
+ scrqtchRow[0], objectInspector, ObjectInspectorCopyOption.WRITABLE);
+ resultObjects[rowIndex++] = copyResult;
+ }
+ }
+
+ private void doVectorStructFieldTest(TypeInfo typeInfo,
+ List<String> columns,
+ String[] columnNames,
+ TypeInfo[] typeInfos, DataTypePhysicalVariation[] dataTypePhysicalVariations,
+ List<ExprNodeDesc> children,
+ ExprNodeFieldDesc exprNodeFieldDesc,
+ StructFieldTestMode negativeTestMode,
+ VectorRandomBatchSource batchSource,
+ ObjectInspector objectInspector,
+ TypeInfo outputTypeInfo, Object[] resultObjects)
+ throws Exception {
+
+ HiveConf hiveConf = new HiveConf();
+
+ VectorizationContext vectorizationContext =
+ new VectorizationContext(
+ "name",
+ columns,
+ Arrays.asList(typeInfos),
+ Arrays.asList(dataTypePhysicalVariations),
+ hiveConf);
+ VectorExpression vectorExpression =
+ vectorizationContext.getVectorExpression(exprNodeFieldDesc);
+ vectorExpression.transientInit();
+
+ if (negativeTestMode == StructFieldTestMode.VECTOR_EXPRESSION &&
+ vectorExpression instanceof VectorUDFAdaptor) {
+ System.out.println(
+ "*NO NATIVE VECTOR EXPRESSION* typeInfo " + typeInfo.toString() +
+ " negativeTestMode " + negativeTestMode +
+ " vectorExpression " + vectorExpression.toString());
+ }
+
+ String[] outputScratchTypeNames= vectorizationContext.getScratchColumnTypeNames();
+
+ VectorizedRowBatchCtx batchContext =
+ new VectorizedRowBatchCtx(
+ columnNames,
+ typeInfos,
+ dataTypePhysicalVariations,
+ /* dataColumnNums */ null,
+ /* partitionColumnCount */ 0,
+ /* virtualColumnCount */ 0,
+ /* neededVirtualColumns */ null,
+ outputScratchTypeNames,
+ null);
+
+ VectorizedRowBatch batch = batchContext.createVectorizedRowBatch();
+
+ VectorExtractRow resultVectorExtractRow = new VectorExtractRow();
+ resultVectorExtractRow.init(
+ new TypeInfo[] { outputTypeInfo }, new int[] { vectorExpression.getOutputColumnNum() });
+ Object[] scrqtchRow = new Object[1];
+
+ // System.out.println("*VECTOR EXPRESSION* " + vectorExpression.getClass().getSimpleName());
+
+ /*
+ System.out.println(
+ "*DEBUG* typeInfo " + typeInfo.toString() +
+ " negativeTestMode " + negativeTestMode +
+ " vectorExpression " + vectorExpression.toString());
+ */
+
+ batchSource.resetBatchIteration();
+ int rowIndex = 0;
+ while (true) {
+ if (!batchSource.fillNextBatch(batch)) {
+ break;
+ }
+ vectorExpression.evaluate(batch);
+ extractResultObjects(batch, rowIndex, resultVectorExtractRow, scrqtchRow,
+ objectInspector, resultObjects);
+ rowIndex += batch.size;
+ }
+ }
+}
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorSubStr.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorSubStr.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorSubStr.java
index a978782..2997dcd 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorSubStr.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorSubStr.java
@@ -118,7 +118,8 @@ public class TestVectorSubStr {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
List<ExprNodeDesc> children = new ArrayList<ExprNodeDesc>();
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorTimestampExtract.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorTimestampExtract.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorTimestampExtract.java
index c31bec5..21109f3 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorTimestampExtract.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorTimestampExtract.java
@@ -137,7 +137,8 @@ public class TestVectorTimestampExtract {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
List<ExprNodeDesc> children = new ArrayList<ExprNodeDesc>();
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/mapjoin/fast/TestVectorMapJoinFastRowHashMap.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/mapjoin/fast/TestVectorMapJoinFastRowHashMap.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/mapjoin/fast/TestVectorMapJoinFastRowHashMap.java
index 05a98a6..df91443 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/mapjoin/fast/TestVectorMapJoinFastRowHashMap.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/mapjoin/fast/TestVectorMapJoinFastRowHashMap.java
@@ -144,8 +144,10 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VerifyFastRowHashMap verifyTable = new VerifyFastRowHashMap();
VectorRandomRowSource valueSource = new VectorRandomRowSource();
-
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -170,7 +172,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -194,8 +198,10 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VerifyFastRowHashMap verifyTable = new VerifyFastRowHashMap();
VectorRandomRowSource valueSource = new VectorRandomRowSource();
-
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -220,7 +226,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -245,8 +253,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
-
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -271,7 +280,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -296,7 +307,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -321,7 +334,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -346,7 +361,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -371,7 +388,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -396,7 +415,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -421,7 +442,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -447,7 +470,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -472,7 +497,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -497,7 +524,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -522,7 +551,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -547,7 +578,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -572,7 +605,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -597,7 +632,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -622,7 +659,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -647,7 +686,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -672,7 +713,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -697,7 +740,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
@@ -722,7 +767,9 @@ public class TestVectorMapJoinFastRowHashMap extends CommonFastHashTable {
VectorRandomRowSource valueSource = new VectorRandomRowSource();
- valueSource.init(random, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ valueSource.init(
+ random, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
int rowCount = 1000;
Object[][] rows = valueSource.randomRows(rowCount);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query1.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query1.q b/ql/src/test/queries/clientpositive/perf/query1.q
index a8d7072..0ba1e57 100644
--- a/ql/src/test/queries/clientpositive/perf/query1.q
+++ b/ql/src/test/queries/clientpositive/perf/query1.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query1.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query1.tpl and seed 2031708268
+explain vectorization expression
with customer_total_return as
(select sr_customer_sk as ctr_customer_sk
,sr_store_sk as ctr_store_sk
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query10.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query10.q b/ql/src/test/queries/clientpositive/perf/query10.q
index d3b1be7..ebfd354 100644
--- a/ql/src/test/queries/clientpositive/perf/query10.q
+++ b/ql/src/test/queries/clientpositive/perf/query10.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query10.tpl and seed 797269820
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query10.tpl and seed 797269820
+explain vectorization expression
select
cd_gender,
cd_marital_status,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query11.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query11.q b/ql/src/test/queries/clientpositive/perf/query11.q
index 6017c89..105d24e 100644
--- a/ql/src/test/queries/clientpositive/perf/query11.q
+++ b/ql/src/test/queries/clientpositive/perf/query11.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query11.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query11.tpl and seed 1819994127
+explain vectorization expression
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query12.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query12.q b/ql/src/test/queries/clientpositive/perf/query12.q
index 59b50ac..5539e63 100644
--- a/ql/src/test/queries/clientpositive/perf/query12.q
+++ b/ql/src/test/queries/clientpositive/perf/query12.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query12.tpl and seed 345591136
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query12.tpl and seed 345591136
+explain vectorization expression
select i_item_desc
,i_category
,i_class
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query13.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query13.q b/ql/src/test/queries/clientpositive/perf/query13.q
index dca19b0..8ddf88a 100644
--- a/ql/src/test/queries/clientpositive/perf/query13.q
+++ b/ql/src/test/queries/clientpositive/perf/query13.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query13.tpl and seed 622697896
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query13.tpl and seed 622697896
+explain vectorization expression
select avg(ss_quantity)
,avg(ss_ext_sales_price)
,avg(ss_ext_wholesale_cost)
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query14.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query14.q b/ql/src/test/queries/clientpositive/perf/query14.q
index c12ecb5..92fdcdc 100644
--- a/ql/src/test/queries/clientpositive/perf/query14.q
+++ b/ql/src/test/queries/clientpositive/perf/query14.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query14.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query14.tpl and seed 1819994127
+explain vectorization expression
with cross_items as
(select i_item_sk ss_item_sk
from item,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query15.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query15.q b/ql/src/test/queries/clientpositive/perf/query15.q
index 9e1711a..2b666c0 100644
--- a/ql/src/test/queries/clientpositive/perf/query15.q
+++ b/ql/src/test/queries/clientpositive/perf/query15.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query15.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query15.tpl and seed 1819994127
+explain vectorization expression
select ca_zip
,sum(cs_sales_price)
from catalog_sales
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query16.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query16.q b/ql/src/test/queries/clientpositive/perf/query16.q
index 05625f7..9f47662 100644
--- a/ql/src/test/queries/clientpositive/perf/query16.q
+++ b/ql/src/test/queries/clientpositive/perf/query16.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query16.tpl and seed 171719422
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query16.tpl and seed 171719422
+explain vectorization expression
select
count(distinct cs_order_number) as `order count`
,sum(cs_ext_ship_cost) as `total shipping cost`
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query17.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query17.q b/ql/src/test/queries/clientpositive/perf/query17.q
index 0cd4201..308ee2a 100644
--- a/ql/src/test/queries/clientpositive/perf/query17.q
+++ b/ql/src/test/queries/clientpositive/perf/query17.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query17.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query17.tpl and seed 1819994127
+explain vectorization expression
select i_item_id
,i_item_desc
,s_state
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query18.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query18.q b/ql/src/test/queries/clientpositive/perf/query18.q
index bf1ff59..5093196 100644
--- a/ql/src/test/queries/clientpositive/perf/query18.q
+++ b/ql/src/test/queries/clientpositive/perf/query18.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query18.tpl and seed 1978355063
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query18.tpl and seed 1978355063
+explain vectorization expression
select i_item_id,
ca_country,
ca_state,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query19.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query19.q b/ql/src/test/queries/clientpositive/perf/query19.q
index 5768e4b..4368d47 100644
--- a/ql/src/test/queries/clientpositive/perf/query19.q
+++ b/ql/src/test/queries/clientpositive/perf/query19.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query19.tpl and seed 1930872976
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query19.tpl and seed 1930872976
+explain vectorization expression
select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
sum(ss_ext_sales_price) ext_price
from date_dim, store_sales, item,customer,customer_address,store
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query2.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query2.q b/ql/src/test/queries/clientpositive/perf/query2.q
index 26a52ef..c1e447e 100644
--- a/ql/src/test/queries/clientpositive/perf/query2.q
+++ b/ql/src/test/queries/clientpositive/perf/query2.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query2.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query2.tpl and seed 1819994127
+explain vectorization expression
with wscs as
(select sold_date_sk
,sales_price
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query20.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query20.q b/ql/src/test/queries/clientpositive/perf/query20.q
index c5f8848..f0382f5 100644
--- a/ql/src/test/queries/clientpositive/perf/query20.q
+++ b/ql/src/test/queries/clientpositive/perf/query20.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query20.tpl and seed 345591136
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query20.tpl and seed 345591136
+explain vectorization expression
select i_item_desc
,i_category
,i_class
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query21.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query21.q b/ql/src/test/queries/clientpositive/perf/query21.q
index 34b458b..1b9b86c 100644
--- a/ql/src/test/queries/clientpositive/perf/query21.q
+++ b/ql/src/test/queries/clientpositive/perf/query21.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query21.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query21.tpl and seed 1819994127
+explain vectorization expression
select *
from(select w_warehouse_name
,i_item_id
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query22.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query22.q b/ql/src/test/queries/clientpositive/perf/query22.q
index 7049173..0003f42 100644
--- a/ql/src/test/queries/clientpositive/perf/query22.q
+++ b/ql/src/test/queries/clientpositive/perf/query22.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query22.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query22.tpl and seed 1819994127
+explain vectorization expression
select i_product_name
,i_brand
,i_class
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query23.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query23.q b/ql/src/test/queries/clientpositive/perf/query23.q
index 1e02655..b0a7eae 100644
--- a/ql/src/test/queries/clientpositive/perf/query23.q
+++ b/ql/src/test/queries/clientpositive/perf/query23.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query23.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query23.tpl and seed 2031708268
+explain vectorization expression
with frequent_ss_items as
(select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
from store_sales
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query24.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query24.q b/ql/src/test/queries/clientpositive/perf/query24.q
index 007d7ee..4f793c7 100644
--- a/ql/src/test/queries/clientpositive/perf/query24.q
+++ b/ql/src/test/queries/clientpositive/perf/query24.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query24.tpl and seed 1220860970
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query24.tpl and seed 1220860970
+explain vectorization expression
with ssales as
(select c_last_name
,c_first_name
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query25.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query25.q b/ql/src/test/queries/clientpositive/perf/query25.q
index 358cdc5..829e843 100644
--- a/ql/src/test/queries/clientpositive/perf/query25.q
+++ b/ql/src/test/queries/clientpositive/perf/query25.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query25.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query25.tpl and seed 1819994127
+explain vectorization expression
select
i_item_id
,i_item_desc
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query26.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query26.q b/ql/src/test/queries/clientpositive/perf/query26.q
index b35d98c..ff27375 100644
--- a/ql/src/test/queries/clientpositive/perf/query26.q
+++ b/ql/src/test/queries/clientpositive/perf/query26.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query26.tpl and seed 1930872976
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query26.tpl and seed 1930872976
+explain vectorization expression
select i_item_id,
avg(cs_quantity) agg1,
avg(cs_list_price) agg2,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query27.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query27.q b/ql/src/test/queries/clientpositive/perf/query27.q
index ec09e1d..bf83f8c 100644
--- a/ql/src/test/queries/clientpositive/perf/query27.q
+++ b/ql/src/test/queries/clientpositive/perf/query27.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query27.tpl and seed 2017787633
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query27.tpl and seed 2017787633
+explain vectorization expression
select i_item_id,
s_state, grouping(s_state) g_state,
avg(ss_quantity) agg1,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query28.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query28.q b/ql/src/test/queries/clientpositive/perf/query28.q
index fc3c1b2d..5fd9e7e 100644
--- a/ql/src/test/queries/clientpositive/perf/query28.q
+++ b/ql/src/test/queries/clientpositive/perf/query28.q
@@ -1,8 +1,11 @@
set hive.mapred.mode=nonstrict;
set hive.optimize.metadataonly=true;
--- start query 1 in stream 0 using template query28.tpl and seed 444293455
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query28.tpl and seed 444293455
+explain vectorization expression
select *
from (select avg(ss_list_price) B1_LP
,count(ss_list_price) B1_CNT
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query29.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query29.q b/ql/src/test/queries/clientpositive/perf/query29.q
index 8bf4d51..80f4a80 100644
--- a/ql/src/test/queries/clientpositive/perf/query29.q
+++ b/ql/src/test/queries/clientpositive/perf/query29.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query29.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query29.tpl and seed 2031708268
+explain vectorization expression
select
i_item_id
,i_item_desc
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query3.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query3.q b/ql/src/test/queries/clientpositive/perf/query3.q
index a70a62f..76c8700 100644
--- a/ql/src/test/queries/clientpositive/perf/query3.q
+++ b/ql/src/test/queries/clientpositive/perf/query3.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query3.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query3.tpl and seed 2031708268
+explain vectorization expression
select dt.d_year
,item.i_brand_id brand_id
,item.i_brand brand
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query30.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query30.q b/ql/src/test/queries/clientpositive/perf/query30.q
index 47f0d93..0682fc3 100644
--- a/ql/src/test/queries/clientpositive/perf/query30.q
+++ b/ql/src/test/queries/clientpositive/perf/query30.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query30.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query30.tpl and seed 1819994127
+explain vectorization expression
with customer_total_return as
(select wr_returning_customer_sk as ctr_customer_sk
,ca_state as ctr_state,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query31.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query31.q b/ql/src/test/queries/clientpositive/perf/query31.q
index 42c3ca6..b0f78b5 100644
--- a/ql/src/test/queries/clientpositive/perf/query31.q
+++ b/ql/src/test/queries/clientpositive/perf/query31.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query31.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query31.tpl and seed 1819994127
+explain vectorization expression
with ss as
(select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
from store_sales,date_dim,customer_address
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query32.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query32.q b/ql/src/test/queries/clientpositive/perf/query32.q
index ed43b4d..170daff 100644
--- a/ql/src/test/queries/clientpositive/perf/query32.q
+++ b/ql/src/test/queries/clientpositive/perf/query32.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query32.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query32.tpl and seed 2031708268
+explain vectorization expression
select sum(cs_ext_discount_amt) as `excess discount amount`
from
catalog_sales
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query33.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query33.q b/ql/src/test/queries/clientpositive/perf/query33.q
index 1dfa9be..abdf3a7 100644
--- a/ql/src/test/queries/clientpositive/perf/query33.q
+++ b/ql/src/test/queries/clientpositive/perf/query33.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query33.tpl and seed 1930872976
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query33.tpl and seed 1930872976
+explain vectorization expression
with ss as (
select
i_manufact_id,sum(ss_ext_sales_price) total_sales
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query34.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query34.q b/ql/src/test/queries/clientpositive/perf/query34.q
index 427eed6..fdd6f14 100644
--- a/ql/src/test/queries/clientpositive/perf/query34.q
+++ b/ql/src/test/queries/clientpositive/perf/query34.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query34.tpl and seed 1971067816
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query34.tpl and seed 1971067816
+explain vectorization expression
select c_last_name
,c_first_name
,c_salutation
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query35.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query35.q b/ql/src/test/queries/clientpositive/perf/query35.q
index 19951ac..a158721 100644
--- a/ql/src/test/queries/clientpositive/perf/query35.q
+++ b/ql/src/test/queries/clientpositive/perf/query35.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query35.tpl and seed 1930872976
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query35.tpl and seed 1930872976
+explain vectorization expression
select
ca_state,
cd_gender,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query36.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query36.q b/ql/src/test/queries/clientpositive/perf/query36.q
index 789f932..11c6d1a 100644
--- a/ql/src/test/queries/clientpositive/perf/query36.q
+++ b/ql/src/test/queries/clientpositive/perf/query36.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query36.tpl and seed 1544728811
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query36.tpl and seed 1544728811
+explain vectorization expression
select
sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin
,i_category
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query37.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query37.q b/ql/src/test/queries/clientpositive/perf/query37.q
index 811eab0..cd09d32 100644
--- a/ql/src/test/queries/clientpositive/perf/query37.q
+++ b/ql/src/test/queries/clientpositive/perf/query37.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query37.tpl and seed 301843662
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query37.tpl and seed 301843662
+explain vectorization expression
select i_item_id
,i_item_desc
,i_current_price
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query38.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query38.q b/ql/src/test/queries/clientpositive/perf/query38.q
index 8eade8a..961dd63 100644
--- a/ql/src/test/queries/clientpositive/perf/query38.q
+++ b/ql/src/test/queries/clientpositive/perf/query38.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query38.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query38.tpl and seed 1819994127
+explain vectorization expression
select count(*) from (
select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
[20/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query59.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query59.q.out b/ql/src/test/results/clientpositive/perf/spark/query59.q.out
index 1224ab6..0393398 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query59.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query59.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with wss as
(select d_week_seq,
ss_store_sk,
@@ -41,7 +41,7 @@ with wss as
order by s_store_name1,s_store_id1,d_week_seq1
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with wss as
(select d_week_seq,
ss_store_sk,
@@ -84,6 +84,10 @@ with wss as
order by s_store_name1,s_store_id1,d_week_seq1
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -101,18 +105,40 @@ STAGE PLANS:
alias: store
filterExpr: (s_store_sk is not null and s_store_id is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (s_store_id is not null and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_id (type: string), s_store_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 5]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -126,18 +152,40 @@ STAGE PLANS:
alias: store
filterExpr: (s_store_sk is not null and s_store_id is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (s_store_id is not null and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -160,119 +208,262 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_week_seq (type: int), d_day_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 14]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: d
filterExpr: (d_month_seq BETWEEN 1197 AND 1208 and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1197, right 1208), SelectColumnIsNotNull(col 4:int))
predicate: (d_month_seq BETWEEN 1197 AND 1208 and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int)
outputColumnNames: _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_week_seq (type: int), d_day_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 14]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: d
filterExpr: (d_month_seq BETWEEN 1185 AND 1196 and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1185, right 1196), SelectColumnIsNotNull(col 4:int))
predicate: (d_month_seq BETWEEN 1185 AND 1196 and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int)
outputColumnNames: _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -300,9 +491,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2))
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 7:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -311,11 +516,20 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316797606 Data size: 27947976754 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2))
Reducer 13
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -346,6 +560,11 @@ STAGE PLANS:
Statistics: Num rows: 383325119 Data size: 33817053337 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -373,9 +592,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)), _col8 (type: decimal(17,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 7:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 8:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
@@ -384,11 +617,20 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316797606 Data size: 27947976754 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)), _col8 (type: decimal(17,2))
Reducer 4
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -415,6 +657,11 @@ STAGE PLANS:
Statistics: Num rows: 383325119 Data size: 33817053337 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)), _col8 (type: decimal(17,2)), _col13 (type: string)
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -436,16 +683,32 @@ STAGE PLANS:
value expressions: _col3 (type: decimal(37,20)), _col4 (type: decimal(37,20)), _col5 (type: decimal(37,20)), _col6 (type: decimal(37,20)), _col7 (type: decimal(37,20)), _col8 (type: decimal(37,20)), _col9 (type: decimal(37,20))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: int), VALUE._col0 (type: decimal(37,20)), VALUE._col1 (type: decimal(37,20)), VALUE._col2 (type: decimal(37,20)), VALUE._col3 (type: decimal(37,20)), VALUE._col4 (type: decimal(37,20)), VALUE._col5 (type: decimal(37,20)), VALUE._col6 (type: decimal(37,20))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
Statistics: Num rows: 421657640 Data size: 37198759476 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query6.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query6.q.out b/ql/src/test/results/clientpositive/perf/spark/query6.q.out
index fe3741f..82310aa 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query6.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query6.q.out
@@ -1,5 +1,5 @@
Warning: Map Join MAPJOIN[85][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select a.ca_state state, count(*) cnt
from customer_address a
,customer c
@@ -24,7 +24,7 @@ select a.ca_state state, count(*) cnt
order by cnt
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select a.ca_state state, count(*) cnt
from customer_address a
,customer c
@@ -49,6 +49,10 @@ select a.ca_state state, count(*) cnt
order by cnt
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -68,14 +72,31 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 2000) and (d_moy = 2)) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterLongColEqualLongScalar(col 8:int, val 2))
predicate: ((d_moy = 2) and (d_year = 2000)) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_month_seq (type: int)
outputColumnNames: d_month_seq
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 3:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: d_month_seq (type: int)
mode: hash
outputColumnNames: _col0
@@ -84,43 +105,108 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 18
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint)
Reducer 19
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColLessEqualLongScalar(col 1:bigint, val 1)(children: FuncAbsLongToLong(col 0:bigint) -> 1:bigint)
predicate: (sq_count_check(_col0) <= 1) (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -146,91 +232,197 @@ STAGE PLANS:
alias: d
filterExpr: (d_date_sk is not null and d_month_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int))
predicate: (d_date_sk is not null and d_month_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_month_seq (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: s
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_customer_sk (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: c
filterExpr: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_addr_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: a
filterExpr: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: j
filterExpr: i_category is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 12:string)
predicate: i_category is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(i_current_price), count(i_current_price)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 5:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFCount(col 5:decimal(7,2)/DECIMAL_64) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 12:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: i_category (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -239,43 +431,96 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: i
filterExpr: (i_item_sk is not null and i_category is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:string))
predicate: (i_category is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_current_price (type: decimal(7,2)), i_category (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: string)
sort order: +
Map-reduce partition columns: _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2000) and (d_moy = 2) and d_month_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterLongColEqualLongScalar(col 8:int, val 2), SelectColumnIsNotNull(col 3:int))
predicate: ((d_moy = 2) and (d_year = 2000) and d_month_seq is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_month_seq (type: int)
outputColumnNames: d_month_seq
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 3:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: d_month_seq (type: int)
mode: hash
outputColumnNames: _col0
@@ -284,9 +529,27 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 12
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -306,9 +569,23 @@ STAGE PLANS:
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -316,6 +593,11 @@ STAGE PLANS:
Select Operator
expressions: (_col1 / _col2) (type: decimal(37,22)), _col0 (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 0]
+ selectExpressions: DecimalColDivideDecimalColumn(col 1:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 2:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -323,6 +605,10 @@ STAGE PLANS:
keys:
0
1
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0, _col1
input vertices:
1 Reducer 19
@@ -331,9 +617,18 @@ STAGE PLANS:
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 333859228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(37,22))
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -356,6 +651,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 169400 Data size: 243305506 Basic stats: COMPLETE Column stats: NONE
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -371,6 +671,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -387,6 +692,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: int)
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -403,6 +713,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col9 (type: string)
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -426,34 +741,72 @@ STAGE PLANS:
value expressions: _col1 (type: bigint)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColGreaterEqualLongScalar(col 1:bigint, val 10)
predicate: (_col1 >= 10L) (type: boolean)
Statistics: Num rows: 127775039 Data size: 11272351038 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: bigint)
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 127775039 Data size: 11272351038 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col0 (type: string)
Reducer 7
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: bigint)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
Statistics: Num rows: 127775039 Data size: 11272351038 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
@@ -461,8 +814,21 @@ STAGE PLANS:
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 9
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
@@ -471,6 +837,10 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
Stage: Stage-0
[28/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query47.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query47.q.out b/ql/src/test/results/clientpositive/perf/spark/query47.q.out
index 690b105..a2387e8 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query47.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query47.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with v1 as(
select i_category, i_brand,
s_store_name, s_company_name,
@@ -48,7 +48,7 @@ with v1 as(
order by sum_sales - avg_monthly_sales, 3
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with v1 as(
select i_category, i_brand,
s_store_name, s_company_name,
@@ -98,6 +98,10 @@ with v1 as(
order by sum_sales - avg_monthly_sales, 3
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -116,18 +120,40 @@ STAGE PLANS:
alias: store
filterExpr: (s_store_sk is not null and s_store_name is not null and s_company_name is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 5:string), SelectColumnIsNotNull(col 17:string))
predicate: (s_company_name is not null and s_store_name is not null and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_name (type: string), s_company_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 17]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -141,18 +167,40 @@ STAGE PLANS:
alias: store
filterExpr: (s_store_sk is not null and s_store_name is not null and s_company_name is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 5:string), SelectColumnIsNotNull(col 17:string))
predicate: (s_company_name is not null and s_store_name is not null and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_name (type: string), s_company_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 17]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -166,18 +214,40 @@ STAGE PLANS:
alias: store
filterExpr: (s_store_sk is not null and s_store_name is not null and s_company_name is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 5:string), SelectColumnIsNotNull(col 17:string))
predicate: (s_company_name is not null and s_store_name is not null and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_name (type: string), s_company_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 17]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -207,181 +277,393 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 7, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 7, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 17
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 12)), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), FilterLongColEqualLongScalar(col 8:int, val 1))), SelectColumnIsNotNull(col 0:int))
predicate: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int), d_moy (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 8]
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_category is not null and i_brand is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:string), SelectColumnIsNotNull(col 8:string))
predicate: (i_brand is not null and i_category is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 7, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 12)), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), FilterLongColEqualLongScalar(col 8:int, val 1))), SelectColumnIsNotNull(col 0:int))
predicate: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int), d_moy (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 8]
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 26
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_category is not null and i_brand is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:string), SelectColumnIsNotNull(col 8:string))
predicate: (i_brand is not null and i_category is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 12)), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), FilterLongColEqualLongScalar(col 8:int, val 1))), SelectColumnIsNotNull(col 0:int))
predicate: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int), d_moy (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 8]
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_category is not null and i_brand is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:string), SelectColumnIsNotNull(col 8:string))
predicate: (i_brand is not null and i_category is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 12
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -400,6 +682,11 @@ STAGE PLANS:
Reducer 13
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -433,9 +720,23 @@ STAGE PLANS:
value expressions: _col6 (type: decimal(17,2))
Reducer 14
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:string, col 3:string, col 4:string, col 5:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
@@ -444,14 +745,28 @@ STAGE PLANS:
key expressions: _col3 (type: string), _col2 (type: string), _col4 (type: string), _col5 (type: string), _col0 (type: int)
sort order: +++++
Map-reduce partition columns: _col3 (type: string), _col2 (type: string), _col4 (type: string), _col5 (type: string), _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col6 (type: decimal(17,2))
Reducer 15
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey4 (type: int), VALUE._col0 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), VALUE._col1 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 5, 1, 0, 2, 3, 6]
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -472,18 +787,38 @@ STAGE PLANS:
name: avg
window function: GenericUDAFAverageEvaluatorDecimal
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorDecimalAvg]
+ functionInputExpressions: [col 6:decimal(17,2)]
+ functionNames: [avg]
+ native: true
+ orderExpressions: [col 0:string, col 1:string, col 2:string, col 3:string, col 4:int]
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: avg_window_0 (type: decimal(21,6)), _col0 (type: int), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: decimal(17,2))
outputColumnNames: avg_window_0, _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [7, 4, 5, 1, 0, 2, 3, 6]
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col3 (type: string), _col2 (type: string), _col4 (type: string), _col5 (type: string), _col0 (type: int), _col1 (type: int)
sort order: ++++++
Map-reduce partition columns: _col3 (type: string), _col2 (type: string), _col4 (type: string), _col5 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
value expressions: avg_window_0 (type: decimal(21,6)), _col6 (type: decimal(17,2))
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank
+ vectorized: false
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: decimal(21,6)), KEY.reducesinkkey4 (type: int), KEY.reducesinkkey5 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), VALUE._col1 (type: decimal(17,2))
@@ -531,6 +866,11 @@ STAGE PLANS:
Statistics: Num rows: 31943759 Data size: 2818087693 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: int), _col5 (type: int), _col6 (type: decimal(17,2)), _col7 (type: decimal(21,6))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -547,6 +887,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2)), _col5 (type: int), _col6 (type: int)
Reducer 21
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -565,6 +910,11 @@ STAGE PLANS:
Reducer 22
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -598,9 +948,23 @@ STAGE PLANS:
value expressions: _col6 (type: decimal(17,2))
Reducer 23
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:string, col 3:string, col 4:string, col 5:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
@@ -609,9 +973,18 @@ STAGE PLANS:
key expressions: _col3 (type: string), _col2 (type: string), _col4 (type: string), _col5 (type: string), _col0 (type: int), _col1 (type: int)
sort order: ++++++
Map-reduce partition columns: _col3 (type: string), _col2 (type: string), _col4 (type: string), _col5 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
value expressions: _col6 (type: decimal(17,2))
Reducer 24
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank
+ vectorized: false
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey4 (type: int), KEY.reducesinkkey5 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), VALUE._col0 (type: decimal(17,2))
@@ -654,6 +1027,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -687,9 +1065,23 @@ STAGE PLANS:
value expressions: _col6 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:string, col 3:string, col 4:string, col 5:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
@@ -698,9 +1090,18 @@ STAGE PLANS:
key expressions: _col3 (type: string), _col2 (type: string), _col4 (type: string), _col5 (type: string), _col0 (type: int), _col1 (type: int)
sort order: ++++++
Map-reduce partition columns: _col3 (type: string), _col2 (type: string), _col4 (type: string), _col5 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
value expressions: _col6 (type: decimal(17,2))
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank
+ vectorized: false
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey4 (type: int), KEY.reducesinkkey5 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), VALUE._col0 (type: decimal(17,2))
@@ -741,6 +1142,11 @@ STAGE PLANS:
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: decimal(17,2))
Reducer 6
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -764,16 +1170,32 @@ STAGE PLANS:
value expressions: _col0 (type: string), _col1 (type: int), _col3 (type: decimal(21,6)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2))
Reducer 7
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: string), VALUE._col1 (type: int), KEY.reducesinkkey1 (type: int), VALUE._col2 (type: decimal(21,6)), VALUE._col3 (type: decimal(17,2)), VALUE._col4 (type: decimal(17,2)), VALUE._col5 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 1, 4, 5, 6, 7]
Statistics: Num rows: 843315280 Data size: 74397518857 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query48.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query48.q.out b/ql/src/test/results/clientpositive/perf/spark/query48.q.out
index 38ccff2..ba3a819 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query48.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query48.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select sum (ss_quantity)
from store_sales, store, customer_demographics, customer_address, date_dim
where s_store_sk = ss_store_sk
@@ -63,7 +63,7 @@ select sum (ss_quantity)
)
)
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select sum (ss_quantity)
from store_sales, store, customer_demographics, customer_address, date_dim
where s_store_sk = ss_store_sk
@@ -128,6 +128,10 @@ select sum (ss_quantity)
)
)
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -144,18 +148,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -174,79 +200,176 @@ STAGE PLANS:
alias: store_sales
filterExpr: ((ss_sales_price BETWEEN 100 AND 150 or ss_sales_price BETWEEN 50 AND 100 or ss_sales_price BETWEEN 150 AND 200) and ss_store_sk is not null and ss_cdemo_sk is not null and ss_addr_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterDecimal64ColumnBetween(col 13:decimal(7,2)/DECIMAL_64, decimal64LeftVal 10000, decimalLeftVal 10000, decimal64RightVal 15000, decimalRightVal 15000), FilterDecimal64ColumnBetween(col 13:decimal(7,2)/DECIMAL_64, decimal64LeftVal 5000, decimalLeftVal 5000, decimal64RightVal 10000, decimalRightVal 10000), FilterDecimal64ColumnBetween(col 13:decimal(7,2)/DECIMAL_64, decimal64LeftVal 15000, decimalLeftVal 15000, decimal64RightVal 20000, decimalRightVal 20000)), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 0:int))
predicate: ((ss_sales_price BETWEEN 100 AND 150 or ss_sales_price BETWEEN 50 AND 100 or ss_sales_price BETWEEN 150 AND 200) and ss_addr_sk is not null and ss_cdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 191998545 Data size: 16938167362 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_cdemo_sk (type: int), ss_addr_sk (type: int), ss_store_sk (type: int), ss_quantity (type: int), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 6, 7, 10, 22]
Statistics: Num rows: 191998545 Data size: 16938167362 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 191998545 Data size: 16938167362 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1998), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: customer_demographics
filterExpr: ((cd_marital_status = 'M') and (cd_education_status = '4 yr Degree') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 2:string, val M), FilterStringGroupColEqualStringScalar(col 3:string, val 4 yr Degree), SelectColumnIsNotNull(col 0:int))
predicate: ((cd_education_status = '4 yr Degree') and (cd_marital_status = 'M') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 465450 Data size: 179296539 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 465450 Data size: 179296539 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 465450 Data size: 179296539 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_country = 'United States') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 10:string, val United States), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_country = 'United States') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -263,6 +386,11 @@ STAGE PLANS:
Statistics: Num rows: 211198404 Data size: 18631984502 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: int), _col6 (type: decimal(7,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -281,6 +409,11 @@ STAGE PLANS:
Reducer 4
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -314,14 +447,30 @@ STAGE PLANS:
value expressions: _col0 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[38/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query28.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query28.q.out b/ql/src/test/results/clientpositive/perf/spark/query28.q.out
index b437829..caaca45 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query28.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query28.q.out
@@ -1,5 +1,5 @@
Warning: Map Join MAPJOIN[94][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select *
from (select avg(ss_list_price) B1_LP
,count(ss_list_price) B1_CNT
@@ -51,7 +51,7 @@ from (select avg(ss_list_price) B1_LP
or ss_wholesale_cost between 42 and 42+20)) B6
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select *
from (select avg(ss_list_price) B1_LP
,count(ss_list_price) B1_CNT
@@ -103,6 +103,10 @@ from (select avg(ss_list_price) B1_LP
or ss_wholesale_cost between 42 and 42+20)) B6
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -130,15 +134,33 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_quantity BETWEEN 16 AND 20 and (ss_list_price BETWEEN 142 AND 152 or ss_coupon_amt BETWEEN 3054 AND 4054 or ss_wholesale_cost BETWEEN 80 AND 100)) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 10:int, left 16, right 20), FilterExprOrExpr(children: FilterDecimal64ColumnBetween(col 12:decimal(7,2)/DECIMAL_64, decimal64LeftVal 14200, decimalLeftVal 14200, decimal64RightVal 15200, decimalRightVal 15200), FilterDecimal64ColumnBetween(col 19:decimal(7,2)/DECIMAL_64, decimal64LeftVal 305400, decimalLeftVal 305400, decimal64RightVal 405400, decimalRightVal 405400), FilterDecimal64ColumnBetween(col 11:decimal(7,2)/DECIMAL_64, decimal64LeftVal 8000, decimalLeftVal 8000, decimal64RightVal 10000, decimalRightVal 10000)))
predicate: ((ss_list_price BETWEEN 142 AND 152 or ss_coupon_amt BETWEEN 3054 AND 4054 or ss_wholesale_cost BETWEEN 80 AND 100) and ss_quantity BETWEEN 16 AND 20) (type: boolean)
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_list_price (type: decimal(7,2))
outputColumnNames: ss_list_price
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [12]
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(ss_list_price), count(ss_list_price)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 12:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFCount(col 12:decimal(7,2)/DECIMAL_64) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 12:decimal(7,2)/DECIMAL_64
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: ss_list_price (type: decimal(7,2))
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -147,24 +169,55 @@ STAGE PLANS:
key expressions: _col0 (type: decimal(7,2))
sort order: +
Map-reduce partition columns: _col0 (type: decimal(7,2))
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_quantity BETWEEN 11 AND 15 and (ss_list_price BETWEEN 66 AND 76 or ss_coupon_amt BETWEEN 920 AND 1920 or ss_wholesale_cost BETWEEN 4 AND 24)) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 10:int, left 11, right 15), FilterExprOrExpr(children: FilterDecimal64ColumnBetween(col 12:decimal(7,2)/DECIMAL_64, decimal64LeftVal 6600, decimalLeftVal 6600, decimal64RightVal 7600, decimalRightVal 7600), FilterDecimal64ColumnBetween(col 19:decimal(7,2)/DECIMAL_64, decimal64LeftVal 92000, decimalLeftVal 92000, decimal64RightVal 192000, decimalRightVal 192000), FilterDecimal64ColumnBetween(col 11:decimal(7,2)/DECIMAL_64, decimal64LeftVal 400, decimalLeftVal 400, decimal64RightVal 2400, decimalRightVal 2400)))
predicate: ((ss_list_price BETWEEN 66 AND 76 or ss_coupon_amt BETWEEN 920 AND 1920 or ss_wholesale_cost BETWEEN 4 AND 24) and ss_quantity BETWEEN 11 AND 15) (type: boolean)
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_list_price (type: decimal(7,2))
outputColumnNames: ss_list_price
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [12]
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(ss_list_price), count(ss_list_price)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 12:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFCount(col 12:decimal(7,2)/DECIMAL_64) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 12:decimal(7,2)/DECIMAL_64
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: ss_list_price (type: decimal(7,2))
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -173,24 +226,55 @@ STAGE PLANS:
key expressions: _col0 (type: decimal(7,2))
sort order: +
Map-reduce partition columns: _col0 (type: decimal(7,2))
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 16
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_quantity BETWEEN 6 AND 10 and (ss_list_price BETWEEN 91 AND 101 or ss_coupon_amt BETWEEN 1430 AND 2430 or ss_wholesale_cost BETWEEN 32 AND 52)) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 10:int, left 6, right 10), FilterExprOrExpr(children: FilterDecimal64ColumnBetween(col 12:decimal(7,2)/DECIMAL_64, decimal64LeftVal 9100, decimalLeftVal 9100, decimal64RightVal 10100, decimalRightVal 10100), FilterDecimal64ColumnBetween(col 19:decimal(7,2)/DECIMAL_64, decimal64LeftVal 143000, decimalLeftVal 143000, decimal64RightVal 243000, decimalRightVal 243000), FilterDecimal64ColumnBetween(col 11:decimal(7,2)/DECIMAL_64, decimal64LeftVal 3200, decimalLeftVal 3200, decimal64RightVal 5200, decimalRightVal 5200)))
predicate: ((ss_list_price BETWEEN 91 AND 101 or ss_coupon_amt BETWEEN 1430 AND 2430 or ss_wholesale_cost BETWEEN 32 AND 52) and ss_quantity BETWEEN 6 AND 10) (type: boolean)
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_list_price (type: decimal(7,2))
outputColumnNames: ss_list_price
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [12]
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(ss_list_price), count(ss_list_price)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 12:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFCount(col 12:decimal(7,2)/DECIMAL_64) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 12:decimal(7,2)/DECIMAL_64
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: ss_list_price (type: decimal(7,2))
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -199,24 +283,55 @@ STAGE PLANS:
key expressions: _col0 (type: decimal(7,2))
sort order: +
Map-reduce partition columns: _col0 (type: decimal(7,2))
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 4
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_quantity BETWEEN 26 AND 30 and (ss_list_price BETWEEN 28 AND 38 or ss_coupon_amt BETWEEN 2513 AND 3513 or ss_wholesale_cost BETWEEN 42 AND 62)) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 10:int, left 26, right 30), FilterExprOrExpr(children: FilterDecimal64ColumnBetween(col 12:decimal(7,2)/DECIMAL_64, decimal64LeftVal 2800, decimalLeftVal 2800, decimal64RightVal 3800, decimalRightVal 3800), FilterDecimal64ColumnBetween(col 19:decimal(7,2)/DECIMAL_64, decimal64LeftVal 251300, decimalLeftVal 251300, decimal64RightVal 351300, decimalRightVal 351300), FilterDecimal64ColumnBetween(col 11:decimal(7,2)/DECIMAL_64, decimal64LeftVal 4200, decimalLeftVal 4200, decimal64RightVal 6200, decimalRightVal 6200)))
predicate: ((ss_list_price BETWEEN 28 AND 38 or ss_coupon_amt BETWEEN 2513 AND 3513 or ss_wholesale_cost BETWEEN 42 AND 62) and ss_quantity BETWEEN 26 AND 30) (type: boolean)
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_list_price (type: decimal(7,2))
outputColumnNames: ss_list_price
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [12]
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(ss_list_price), count(ss_list_price)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 12:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFCount(col 12:decimal(7,2)/DECIMAL_64) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 12:decimal(7,2)/DECIMAL_64
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: ss_list_price (type: decimal(7,2))
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -225,24 +340,55 @@ STAGE PLANS:
key expressions: _col0 (type: decimal(7,2))
sort order: +
Map-reduce partition columns: _col0 (type: decimal(7,2))
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_quantity BETWEEN 21 AND 25 and (ss_list_price BETWEEN 135 AND 145 or ss_coupon_amt BETWEEN 14180 AND 15180 or ss_wholesale_cost BETWEEN 38 AND 58)) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 10:int, left 21, right 25), FilterExprOrExpr(children: FilterDecimal64ColumnBetween(col 12:decimal(7,2)/DECIMAL_64, decimal64LeftVal 13500, decimalLeftVal 13500, decimal64RightVal 14500, decimalRightVal 14500), FilterDecimal64ColumnBetween(col 19:decimal(7,2)/DECIMAL_64, decimal64LeftVal 1418000, decimalLeftVal 1418000, decimal64RightVal 1518000, decimalRightVal 1518000), FilterDecimal64ColumnBetween(col 11:decimal(7,2)/DECIMAL_64, decimal64LeftVal 3800, decimalLeftVal 3800, decimal64RightVal 5800, decimalRightVal 5800)))
predicate: ((ss_list_price BETWEEN 135 AND 145 or ss_coupon_amt BETWEEN 14180 AND 15180 or ss_wholesale_cost BETWEEN 38 AND 58) and ss_quantity BETWEEN 21 AND 25) (type: boolean)
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_list_price (type: decimal(7,2))
outputColumnNames: ss_list_price
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [12]
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(ss_list_price), count(ss_list_price)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 12:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFCount(col 12:decimal(7,2)/DECIMAL_64) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 12:decimal(7,2)/DECIMAL_64
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: ss_list_price (type: decimal(7,2))
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -251,42 +397,101 @@ STAGE PLANS:
key expressions: _col0 (type: decimal(7,2))
sort order: +
Map-reduce partition columns: _col0 (type: decimal(7,2))
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 11
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ keyExpressions: col 0:decimal(7,2)
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: decimal(7,2))
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1), count(_col2), count(_col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFCount(col 0:decimal(7,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1, 2]
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(17,2)), _col1 (type: bigint), _col2 (type: bigint)
Reducer 12
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), count(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 1:bigint) -> bigint, VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2]
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (_col0 / _col1) (type: decimal(37,22)), _col1 (type: bigint), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 1, 2]
+ selectExpressions: DecimalColDivideDecimalColumn(col 0:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 1:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -296,37 +501,83 @@ STAGE PLANS:
5
Reducer 14
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ keyExpressions: col 0:decimal(7,2)
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: decimal(7,2))
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1), count(_col2), count(_col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFCount(col 0:decimal(7,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1, 2]
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(17,2)), _col1 (type: bigint), _col2 (type: bigint)
Reducer 15
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), count(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 1:bigint) -> bigint, VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2]
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (_col0 / _col1) (type: decimal(37,22)), _col1 (type: bigint), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 1, 2]
+ selectExpressions: DecimalColDivideDecimalColumn(col 0:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 1:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -336,37 +587,83 @@ STAGE PLANS:
5
Reducer 17
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ keyExpressions: col 0:decimal(7,2)
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: decimal(7,2))
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1), count(_col2), count(_col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFCount(col 0:decimal(7,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1, 2]
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(17,2)), _col1 (type: bigint), _col2 (type: bigint)
Reducer 18
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), count(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 1:bigint) -> bigint, VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2]
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (_col0 / _col1) (type: decimal(37,22)), _col1 (type: bigint), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 1, 2]
+ selectExpressions: DecimalColDivideDecimalColumn(col 0:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 1:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -376,37 +673,83 @@ STAGE PLANS:
5
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ keyExpressions: col 0:decimal(7,2)
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: decimal(7,2))
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1), count(_col2), count(_col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFCount(col 0:decimal(7,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1, 2]
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(17,2)), _col1 (type: bigint), _col2 (type: bigint)
Reducer 6
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), count(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 1:bigint) -> bigint, VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2]
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (_col0 / _col1) (type: decimal(37,22)), _col1 (type: bigint), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 1, 2]
+ selectExpressions: DecimalColDivideDecimalColumn(col 0:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 1:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -416,37 +759,83 @@ STAGE PLANS:
5
Reducer 8
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ keyExpressions: col 0:decimal(7,2)
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: decimal(7,2))
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1), count(_col2), count(_col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFCount(col 0:decimal(7,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1, 2]
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(17,2)), _col1 (type: bigint), _col2 (type: bigint)
Reducer 9
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), count(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 1:bigint) -> bigint, VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2]
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (_col0 / _col1) (type: decimal(37,22)), _col1 (type: bigint), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 1, 2]
+ selectExpressions: DecimalColDivideDecimalColumn(col 0:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 1:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -468,15 +857,33 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_quantity BETWEEN 0 AND 5 and (ss_list_price BETWEEN 11 AND 21 or ss_coupon_amt BETWEEN 460 AND 1460 or ss_wholesale_cost BETWEEN 14 AND 34)) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 10:int, left 0, right 5), FilterExprOrExpr(children: FilterDecimal64ColumnBetween(col 12:decimal(7,2)/DECIMAL_64, decimal64LeftVal 1100, decimalLeftVal 1100, decimal64RightVal 2100, decimalRightVal 2100), FilterDecimal64ColumnBetween(col 19:decimal(7,2)/DECIMAL_64, decimal64LeftVal 46000, decimalLeftVal 46000, decimal64RightVal 146000, decimalRightVal 146000), FilterDecimal64ColumnBetween(col 11:decimal(7,2)/DECIMAL_64, decimal64LeftVal 1400, decimalLeftVal 1400, decimal64RightVal 3400, decimalRightVal 3400)))
predicate: ((ss_list_price BETWEEN 11 AND 21 or ss_coupon_amt BETWEEN 460 AND 1460 or ss_wholesale_cost BETWEEN 14 AND 34) and ss_quantity BETWEEN 0 AND 5) (type: boolean)
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_list_price (type: decimal(7,2))
outputColumnNames: ss_list_price
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [12]
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(ss_list_price), count(ss_list_price)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 12:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFCount(col 12:decimal(7,2)/DECIMAL_64) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 12:decimal(7,2)/DECIMAL_64
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: ss_list_price (type: decimal(7,2))
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -485,40 +892,96 @@ STAGE PLANS:
key expressions: _col0 (type: decimal(7,2))
sort order: +
Map-reduce partition columns: _col0 (type: decimal(7,2))
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ keyExpressions: col 0:decimal(7,2)
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: decimal(7,2))
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1), count(_col2), count(_col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFCount(col 0:decimal(7,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1, 2]
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(17,2)), _col1 (type: bigint), _col2 (type: bigint)
Reducer 3
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), count(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 1:bigint) -> bigint, VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2]
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (_col0 / _col1) (type: decimal(37,22)), _col1 (type: bigint), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 1, 2]
+ selectExpressions: DecimalColDivideDecimalColumn(col 0:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 1:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 1 Data size: 232 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -534,6 +997,12 @@ STAGE PLANS:
3
4
5
+ Map Join Vectorization:
+ bigTableValueExpressions: col 4:decimal(37,22), col 1:bigint, col 2:bigint
+ className: VectorMapJoinOperator
+ native: false
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
+ nativeConditionsNotMet: One MapJoin Condition IS false
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17
input vertices:
1 Reducer 6
@@ -545,12 +1014,22 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: decimal(37,22)), _col1 (type: bigint), _col2 (type: bigint), _col15 (type: decimal(37,22)), _col16 (type: bigint), _col17 (type: bigint), _col12 (type: decimal(37,22)), _col13 (type: bigint), _col14 (type: bigint), _col9 (type: decimal(37,22)), _col10 (type: bigint), _col11 (type: bigint), _col6 (type: decimal(37,22)), _col7 (type: bigint), _col8 (type: bigint), _col3 (type: decimal(37,22)), _col4 (type: bigint), _col5 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 15, 16, 17, 12, 13, 14, 9, 10, 11, 6, 7, 8, 3, 4, 5]
Statistics: Num rows: 1 Data size: 1393 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 1 Data size: 1393 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 1 Data size: 1393 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[12/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query72.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query72.q.out b/ql/src/test/results/clientpositive/perf/spark/query72.q.out
index 37cf704..ca142a7 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query72.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query72.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_item_desc
,w_warehouse_name
,d1.d_week_seq
@@ -28,7 +28,7 @@ group by i_item_desc,w_warehouse_name,d1.d_week_seq
order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_item_desc
,w_warehouse_name
,d1.d_week_seq
@@ -58,6 +58,10 @@ group by i_item_desc,w_warehouse_name,d1.d_week_seq
order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -75,18 +79,40 @@ STAGE PLANS:
alias: warehouse
filterExpr: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: w_warehouse_sk (type: int), w_warehouse_name (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -100,18 +126,40 @@ STAGE PLANS:
alias: household_demographics
filterExpr: ((hd_buy_potential = '1001-5000') and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 2:string, val 1001-5000), SelectColumnIsNotNull(col 0:int))
predicate: ((hd_buy_potential = '1001-5000') and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: hd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 16
@@ -119,15 +167,33 @@ STAGE PLANS:
TableScan
alias: promotion
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Select Operator
expressions: p_promo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col5 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -151,12 +217,22 @@ STAGE PLANS:
alias: inventory
filterExpr: (inv_item_sk is not null and inv_warehouse_sk is not null and inv_date_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 1:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (inv_date_sk is not null and inv_item_sk is not null and inv_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: inv_date_sk (type: int), inv_item_sk (type: int), inv_warehouse_sk (type: int), inv_quantity_on_hand (type: int)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -164,6 +240,10 @@ STAGE PLANS:
keys:
0 _col2 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0, _col1, _col3, _col5
input vertices:
1 Map 7
@@ -172,9 +252,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 41342400 Data size: 653203228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col3 (type: int), _col5 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 13
@@ -183,140 +276,306 @@ STAGE PLANS:
alias: d1
filterExpr: ((d_year = 2001) and d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: ((d_year = 2001) and d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string), d_week_seq (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: customer_demographics
filterExpr: ((cd_marital_status = 'M') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 2:string, val M), SelectColumnIsNotNull(col 0:int))
predicate: ((cd_marital_status = 'M') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 930900 Data size: 358593079 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 930900 Data size: 358593079 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 930900 Data size: 358593079 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 17
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_desc (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: d3
filterExpr: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: d2
filterExpr: (d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_week_seq (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: catalog_returns
filterExpr: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_item_sk (type: int), cr_order_number (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 16]
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_bill_cdemo_sk is not null and cs_bill_hdemo_sk is not null and cs_sold_date_sk is not null and cs_ship_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 5:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int))
predicate: (cs_bill_cdemo_sk is not null and cs_bill_hdemo_sk is not null and cs_item_sk is not null and cs_ship_date_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_ship_date_sk (type: int), cs_bill_cdemo_sk (type: int), cs_bill_hdemo_sk (type: int), cs_item_sk (type: int), cs_promo_sk (type: int), cs_order_number (type: int), cs_quantity (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4, 5, 15, 16, 17, 18]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -353,6 +612,11 @@ STAGE PLANS:
Statistics: Num rows: 421645953 Data size: 57099332415 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col6 (type: int), _col7 (type: int), _col9 (type: string), _col10 (type: int), _col16 (type: int)
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -369,6 +633,11 @@ STAGE PLANS:
Statistics: Num rows: 463810558 Data size: 62809267017 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: int), _col6 (type: int), _col7 (type: int), _col9 (type: string), _col10 (type: int), _col16 (type: int), _col18 (type: string)
Reducer 12
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -392,6 +661,11 @@ STAGE PLANS:
Statistics: Num rows: 170063874 Data size: 23030064981 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: string), _col10 (type: int), _col11 (type: int), _col14 (type: int), _col20 (type: int)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -411,6 +685,11 @@ STAGE PLANS:
Statistics: Num rows: 62356755 Data size: 8444357342 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: string), _col9 (type: string), _col14 (type: int), _col16 (type: int), _col26 (type: int)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -431,6 +710,11 @@ STAGE PLANS:
Statistics: Num rows: 68592431 Data size: 9288793277 Basic stats: COMPLETE Column stats: NONE
value expressions: _col13 (type: string), _col15 (type: string), _col22 (type: int), _col28 (type: int)
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -458,9 +742,23 @@ STAGE PLANS:
value expressions: _col3 (type: bigint), _col4 (type: bigint), _col5 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0), count(VALUE._col1), count(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint, VectorUDAFCountMerge(col 4:bigint) -> bigint, VectorUDAFCountMerge(col 5:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -468,27 +766,52 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col5 (type: bigint), _col0 (type: string), _col1 (type: string), _col2 (type: int)
sort order: -+++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 37725837 Data size: 5108836345 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: bigint), _col4 (type: bigint)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: int), VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), KEY.reducesinkkey0 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 2, 3, 4, 5, 0]
Statistics: Num rows: 37725837 Data size: 5108836345 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query73.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query73.q.out b/ql/src/test/results/clientpositive/perf/spark/query73.q.out
index ddaca3d..b27e1d8 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query73.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query73.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select c_last_name
,c_first_name
,c_salutation
@@ -25,7 +25,7 @@ select c_last_name
and cnt between 1 and 5
order by cnt desc
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select c_last_name
,c_first_name
,c_salutation
@@ -52,6 +52,10 @@ select c_last_name
and cnt between 1 and 5
order by cnt desc
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -68,18 +72,40 @@ STAGE PLANS:
alias: household_demographics
filterExpr: ((hd_buy_potential) IN ('>10000', 'unknown') and (hd_vehicle_count > 0) and CASE WHEN ((hd_vehicle_count > 0)) THEN (((UDFToDouble(hd_dep_count) / UDFToDouble(hd_vehicle_count)) > 1.0D)) ELSE (null) END and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 2, values >10000, unknown), FilterLongColGreaterLongScalar(col 4:int, val 0), SelectColumnIsTrue(col 11:boolean)(children: IfExprCondExprNull(col 6:boolean, col 10:boolean, null)(children: LongColGreaterLongScalar(col 4:int, val 0) -> 6:boolean, DoubleColGreaterDoubleScalar(col 9:double, val 1.0)(children: DoubleColDivideDoubleColumn(col 7:double, col 8:double)(children: CastLongToDouble(col 3:int) -> 7:double, CastLongToDouble(col 4:int) -> 8:double) -> 9:double) -> 10:boolean) -> 11:boolean), SelectColumnIsNotNull(col 0:int))
predicate: ((hd_buy_potential) IN ('>10000', 'unknown') and (hd_vehicle_count > 0) and CASE WHEN ((hd_vehicle_count > 0)) THEN (((UDFToDouble(hd_dep_count) / UDFToDouble(hd_vehicle_count)) > 1.0D)) ELSE (null) END and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1200 Data size: 128400 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: hd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1200 Data size: 128400 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 9
@@ -88,18 +114,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_county) IN ('Mobile County', 'Maverick County', 'Huron County', 'Kittitas County') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 23, values Mobile County, Maverick County, Huron County, Kittitas County), SelectColumnIsNotNull(col 0:int))
predicate: ((s_county) IN ('Mobile County', 'Maverick County', 'Huron County', 'Kittitas County') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -118,60 +166,134 @@ STAGE PLANS:
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_salutation (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 8, 9, 10]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 4
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null and ss_hdemo_sk is not null and ss_customer_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 5:int), SelectColumnIsNotNull(col 3:int))
predicate: (ss_customer_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_hdemo_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 5, 7, 9]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (2000, 2001, 2002) and d_dom BETWEEN 1 AND 2 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [2000, 2001, 2002]), FilterLongColumnBetween(col 9:int, left 1, right 2), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year) IN (2000, 2001, 2002) and d_date_sk is not null and d_dom BETWEEN 1 AND 2) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -192,13 +314,26 @@ STAGE PLANS:
value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int)
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: string), VALUE._col3 (type: string), VALUE._col4 (type: int), KEY.reducesinkkey0 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 2, 3, 4, 5, 0]
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
@@ -207,6 +342,11 @@ STAGE PLANS:
Reducer 5
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -250,9 +390,23 @@ STAGE PLANS:
value expressions: _col2 (type: bigint)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -260,14 +414,26 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: int), _col0 (type: int), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColumnBetween(col 2:bigint, left 1, right 5)
predicate: _col2 BETWEEN 1 AND 5 (type: boolean)
Statistics: Num rows: 42591679 Data size: 3757450287 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 42591679 Data size: 3757450287 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: bigint)
[36/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query31.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query31.q.out b/ql/src/test/results/clientpositive/perf/spark/query31.q.out
index 81deede..2cc2342 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query31.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query31.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with ss as
(select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
from store_sales,date_dim,customer_address
@@ -49,7 +49,7 @@ with ss as
> case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end
order by ss1.d_year
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with ss as
(select ca_county,d_qoy, d_year,sum(ss_ext_sales_price) as store_sales
from store_sales,date_dim,customer_address
@@ -100,6 +100,10 @@ with ss as
> case when ss2.store_sales > 0 then ss3.store_sales/ss2.store_sales else null end
order by ss1.d_year
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -136,355 +140,774 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_addr_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:int))
predicate: (ss_addr_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_addr_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_qoy = 1) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 1), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy = 1) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:string))
predicate: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_county (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_addr_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:int))
predicate: (ss_addr_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_addr_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_qoy = 3) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 3), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy = 3) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:string))
predicate: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_county (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_bill_addr_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ws_bill_addr_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_addr_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_qoy = 1) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 1), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy = 1) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 26
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:string))
predicate: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_county (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 27
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_bill_addr_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ws_bill_addr_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_addr_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 31
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 2), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 32
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:string))
predicate: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_county (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 33
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_bill_addr_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ws_bill_addr_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_addr_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 37
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_qoy = 3) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 3), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy = 3) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 38
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:string))
predicate: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_county (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 2), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:string))
predicate: (ca_address_sk is not null and ca_county is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_county (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_addr_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:int))
predicate: (ss_addr_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_addr_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -508,9 +931,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 11
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -519,9 +956,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -538,6 +984,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -561,9 +1012,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 17
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -572,9 +1037,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -591,6 +1065,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Reducer 21
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -607,6 +1086,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -630,9 +1114,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 23
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -641,9 +1139,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 24
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -662,6 +1169,11 @@ STAGE PLANS:
Statistics: Num rows: 191667561 Data size: 26061245363 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col5 (type: decimal(17,2))
Reducer 28
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -678,6 +1190,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Reducer 29
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -700,6 +1217,11 @@ STAGE PLANS:
Statistics: Num rows: 174243235 Data size: 23692040863 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -723,9 +1245,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 30
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -734,9 +1270,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 34
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -753,6 +1298,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Reducer 35
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -776,9 +1326,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 36
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -787,13 +1351,31 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -802,9 +1384,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -833,6 +1424,11 @@ STAGE PLANS:
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
[04/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query81.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query81.q.out b/ql/src/test/results/clientpositive/perf/spark/query81.q.out
index 60186d9..16c1a8f 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query81.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query81.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with customer_total_return as
(select cr_returning_customer_sk as ctr_customer_sk
,ca_state as ctr_state,
@@ -28,7 +28,7 @@ with customer_total_return as
,ca_location_type,ctr_total_return
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with customer_total_return as
(select cr_returning_customer_sk as ctr_customer_sk
,ca_state as ctr_state,
@@ -58,6 +58,10 @@ with customer_total_return as
,ca_location_type,ctr_total_return
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -84,159 +88,348 @@ STAGE PLANS:
alias: customer
filterExpr: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_current_addr_sk (type: int), c_salutation (type: string), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 4, 7, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int)
sort order: +
Map-reduce partition columns: _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1998), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_state is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 8:string))
predicate: (ca_address_sk is not null and ca_state is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: catalog_returns
filterExpr: (cr_returned_date_sk is not null and cr_returning_addr_sk is not null) (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 10:int))
predicate: (cr_returned_date_sk is not null and cr_returning_addr_sk is not null) (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_returned_date_sk (type: int), cr_returning_customer_sk (type: int), cr_returning_addr_sk (type: int), cr_return_amt_inc_tax (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 10, 20]
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 17
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1998), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_state is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 8:string))
predicate: (ca_address_sk is not null and ca_state is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 5
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_state = 'IL') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 8:string, val IL), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_state = 'IL') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_street_number (type: string), ca_street_name (type: string), ca_street_type (type: string), ca_suite_number (type: string), ca_city (type: string), ca_county (type: string), ca_zip (type: string), ca_country (type: string), ca_gmt_offset (type: decimal(5,2)), ca_location_type (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col8, _col9, _col10, _col11
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col8 (type: string), _col9 (type: string), _col10 (type: decimal(5,2)), _col11 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: catalog_returns
filterExpr: (cr_returned_date_sk is not null and cr_returning_addr_sk is not null and cr_returning_customer_sk is not null) (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 10:int), SelectColumnIsNotNull(col 7:int))
predicate: (cr_returned_date_sk is not null and cr_returning_addr_sk is not null and cr_returning_customer_sk is not null) (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_returned_date_sk (type: int), cr_returning_customer_sk (type: int), cr_returning_addr_sk (type: int), cr_return_amt_inc_tax (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 10, 20]
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -260,6 +453,11 @@ STAGE PLANS:
Statistics: Num rows: 8066666 Data size: 8186697393 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2))
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -276,6 +474,11 @@ STAGE PLANS:
Statistics: Num rows: 31678769 Data size: 3362958220 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: decimal(7,2))
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -299,9 +502,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2))
Reducer 16
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -309,9 +526,21 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col2 (type: decimal(17,2))
outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 22000000 Data size: 22327357890 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), count(_col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(27,2), VectorUDAFCount(col 2:decimal(17,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: _col0 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2
@@ -319,14 +548,28 @@ STAGE PLANS:
Select Operator
expressions: ((_col1 / _col2) * 1.2) (type: decimal(38,11)), _col0 (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 0]
+ selectExpressions: DecimalColMultiplyDecimalScalar(col 4:decimal(38,13), val 1.2)(children: DecimalColDivideDecimalColumn(col 1:decimal(27,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 2:bigint) -> 3:decimal(19,0)) -> 4:decimal(38,13)) -> 5:decimal(38,11)
Statistics: Num rows: 11000000 Data size: 11163678945 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 11000000 Data size: 11163678945 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(38,11))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -343,6 +586,11 @@ STAGE PLANS:
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: string), _col10 (type: string), _col11 (type: string), _col12 (type: string), _col14 (type: string), _col15 (type: string), _col16 (type: decimal(5,2)), _col17 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -363,26 +611,52 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: string), KEY.reducesinkkey6 (type: string), KEY.reducesinkkey7 (type: string), KEY.reducesinkkey8 (type: string), KEY.reducesinkkey9 (type: string), KEY.reducesinkkey10 (type: string), KEY.reducesinkkey11 (type: string), KEY.reducesinkkey12 (type: decimal(5,2)), KEY.reducesinkkey13 (type: string), KEY.reducesinkkey14 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
Statistics: Num rows: 96800003 Data size: 83249958789 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: string), 'IL' (type: string), _col10 (type: string), _col11 (type: string), _col12 (type: decimal(5,2)), _col13 (type: string), _col14 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 15, 10, 11, 12, 13, 14]
+ selectExpressions: ConstantVectorExpression(val IL) -> 15:string
Statistics: Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 7
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -399,6 +673,11 @@ STAGE PLANS:
Statistics: Num rows: 31678769 Data size: 3362958220 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: decimal(7,2))
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -422,9 +701,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2))
Reducer 9
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -432,11 +725,19 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: int), _col0 (type: string), _col2 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 22000000 Data size: 22327357890 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 22000000 Data size: 22327357890 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(17,2))
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query82.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query82.q.out b/ql/src/test/results/clientpositive/perf/spark/query82.q.out
index daadc88..f38469c 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query82.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query82.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_item_id
,i_item_desc
,i_current_price
@@ -14,7 +14,7 @@ select i_item_id
order by i_item_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_item_id
,i_item_desc
,i_current_price
@@ -30,6 +30,10 @@ select i_item_id
order by i_item_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -46,18 +50,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2002-05-30 00:00:00' AND TIMESTAMP'2002-07-29 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 2002-05-29 17:00:00.0, right 2002-07-28 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2002-05-30 00:00:00' AND TIMESTAMP'2002-07-29 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -75,51 +101,107 @@ STAGE PLANS:
alias: store_sales
filterExpr: ss_item_sk is not null (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: ss_item_sk is not null (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_item_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 5
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_manufact_id) IN (437, 129, 727, 663) and i_current_price BETWEEN 30 AND 60 and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 13:int, values [437, 129, 727, 663]), FilterDecimal64ColumnBetween(col 5:decimal(7,2)/DECIMAL_64, decimal64LeftVal 3000, decimalLeftVal 3000, decimal64RightVal 6000, decimalRightVal 6000), SelectColumnIsNotNull(col 0:int))
predicate: ((i_manufact_id) IN (437, 129, 727, 663) and i_current_price BETWEEN 30 AND 60 and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string), i_item_desc (type: string), i_current_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 4, 5]
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: inventory
filterExpr: (inv_quantity_on_hand BETWEEN 100 AND 500 and inv_item_sk is not null and inv_date_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 100, right 500), SelectColumnIsNotNull(col 1:int), SelectColumnIsNotNull(col 0:int))
predicate: (inv_date_sk is not null and inv_item_sk is not null and inv_quantity_on_hand BETWEEN 100 AND 500) (type: boolean)
Statistics: Num rows: 4176000 Data size: 65980122 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: inv_date_sk (type: int), inv_item_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 4176000 Data size: 65980122 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -127,6 +209,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
1 Map 7
@@ -135,11 +221,29 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 4593600 Data size: 72578135 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -164,8 +268,21 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:decimal(7,2)
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: decimal(7,2))
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -173,21 +290,41 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: string), _col2 (type: decimal(7,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[34/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query34.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query34.q.out b/ql/src/test/results/clientpositive/perf/spark/query34.q.out
index 88279a3..371d94f 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query34.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query34.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select c_last_name
,c_first_name
,c_salutation
@@ -28,7 +28,7 @@ select c_last_name
and cnt between 15 and 20
order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select c_last_name
,c_first_name
,c_salutation
@@ -58,6 +58,10 @@ select c_last_name
and cnt between 15 and 20
order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -74,18 +78,40 @@ STAGE PLANS:
alias: household_demographics
filterExpr: ((hd_buy_potential) IN ('>10000', 'unknown') and (hd_vehicle_count > 0) and CASE WHEN ((hd_vehicle_count > 0)) THEN (((UDFToDouble(hd_dep_count) / UDFToDouble(hd_vehicle_count)) > 1.2D)) ELSE (null) END and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 2, values >10000, unknown), FilterLongColGreaterLongScalar(col 4:int, val 0), SelectColumnIsTrue(col 11:boolean)(children: IfExprCondExprNull(col 6:boolean, col 10:boolean, null)(children: LongColGreaterLongScalar(col 4:int, val 0) -> 6:boolean, DoubleColGreaterDoubleScalar(col 9:double, val 1.2)(children: DoubleColDivideDoubleColumn(col 7:double, col 8:double)(children: CastLongToDouble(col 3:int) -> 7:double, CastLongToDouble(col 4:int) -> 8:double) -> 9:double) -> 10:boolean) -> 11:boolean), SelectColumnIsNotNull(col 0:int))
predicate: ((hd_buy_potential) IN ('>10000', 'unknown') and (hd_vehicle_count > 0) and CASE WHEN ((hd_vehicle_count > 0)) THEN (((UDFToDouble(hd_dep_count) / UDFToDouble(hd_vehicle_count)) > 1.2D)) ELSE (null) END and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1200 Data size: 128400 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: hd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1200 Data size: 128400 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 9
@@ -94,18 +120,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_county) IN ('Mobile County', 'Maverick County', 'Huron County', 'Kittitas County', 'Fairfield County', 'Jackson County', 'Barrow County', 'Pennington County') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 23, values Mobile County, Maverick County, Huron County, Kittitas County, Fairfield County, Jackson County, Barrow County, Pennington County), SelectColumnIsNotNull(col 0:int))
predicate: ((s_county) IN ('Mobile County', 'Maverick County', 'Huron County', 'Kittitas County', 'Fairfield County', 'Jackson County', 'Barrow County', 'Pennington County') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -124,60 +172,134 @@ STAGE PLANS:
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_salutation (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 8, 9, 10]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 4
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null and ss_hdemo_sk is not null and ss_customer_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 5:int), SelectColumnIsNotNull(col 3:int))
predicate: (ss_customer_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_hdemo_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 5, 7, 9]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (2000, 2001, 2002) and (d_dom BETWEEN 1 AND 3 or d_dom BETWEEN 25 AND 28) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [2000, 2001, 2002]), FilterExprOrExpr(children: FilterLongColumnBetween(col 9:int, left 1, right 3), FilterLongColumnBetween(col 9:int, left 25, right 28)), SelectColumnIsNotNull(col 0:int))
predicate: ((d_dom BETWEEN 1 AND 3 or d_dom BETWEEN 25 AND 28) and (d_year) IN (2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 16232 Data size: 18163608 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 16232 Data size: 18163608 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 16232 Data size: 18163608 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -198,13 +320,26 @@ STAGE PLANS:
value expressions: _col4 (type: int), _col5 (type: bigint)
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), VALUE._col0 (type: int), VALUE._col1 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
@@ -213,6 +348,11 @@ STAGE PLANS:
Reducer 5
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -256,9 +396,23 @@ STAGE PLANS:
value expressions: _col2 (type: bigint)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -266,14 +420,26 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: int), _col0 (type: int), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColumnBetween(col 2:bigint, left 15, right 20)
predicate: _col2 BETWEEN 15 AND 20 (type: boolean)
Statistics: Num rows: 42591679 Data size: 3757450287 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 42591679 Data size: 3757450287 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: bigint)
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query35.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query35.q.out b/ql/src/test/results/clientpositive/perf/spark/query35.q.out
index 6d1ea9b..3ab2559 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query35.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query35.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
ca_state,
cd_gender,
@@ -54,7 +54,7 @@ select
cd_dep_college_count
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
ca_state,
cd_gender,
@@ -110,6 +110,10 @@ select
cd_dep_college_count
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -136,178 +140,390 @@ STAGE PLANS:
alias: c
filterExpr: (c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_cdemo_sk (type: int), c_current_addr_sk (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int)
sort order: +
Map-reduce partition columns: _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_qoy < 4) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColLessLongScalar(col 10:int, val 4), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy < 4) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 12174 Data size: 13622706 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 12174 Data size: 13622706 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 12174 Data size: 13622706 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_qoy < 4) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColLessLongScalar(col 10:int, val 4), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy < 4) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 12174 Data size: 13622706 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 12174 Data size: 13622706 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 12174 Data size: 13622706 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 16
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_ship_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_ship_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_ship_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_qoy < 4) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColLessLongScalar(col 10:int, val 4), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy < 4) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 12174 Data size: 13622706 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 12174 Data size: 13622706 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 12174 Data size: 13622706 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: ca
filterExpr: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: customer_demographics
filterExpr: cd_demo_sk is not null (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cd_demo_sk is not null (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int), cd_gender (type: string), cd_marital_status (type: string), cd_dep_count (type: int), cd_dep_employed_count (type: int), cd_dep_college_count (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 6, 7, 8]
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: int), _col4 (type: int), _col5 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -332,6 +548,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
Reducer 13
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -353,8 +574,21 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
Reducer 14
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
@@ -362,14 +596,28 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), true (type: boolean)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
+ selectExpressions: ConstantVectorExpression(val 1) -> 1:boolean
Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: boolean)
Reducer 17
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -391,8 +639,21 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
Reducer 18
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
@@ -400,14 +661,28 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), true (type: boolean)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
+ selectExpressions: ConstantVectorExpression(val 1) -> 1:boolean
Statistics: Num rows: 158394413 Data size: 21449785388 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158394413 Data size: 21449785388 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: boolean)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -424,6 +699,11 @@ STAGE PLANS:
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col4 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -440,6 +720,11 @@ STAGE PLANS:
Statistics: Num rows: 96800003 Data size: 83249958789 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: int), _col9 (type: int), _col10 (type: int)
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -475,9 +760,23 @@ STAGE PLANS:
value expressions: _col6 (type: bigint), _col7 (type: bigint), _col8 (type: bigint), _col9 (type: int), _col10 (type: bigint), _col11 (type: bigint), _col12 (type: int), _col13 (type: bigint), _col14 (type: bigint), _col15 (type: int)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0), sum(VALUE._col1), count(VALUE._col2), max(VALUE._col3), sum(VALUE._col4), count(VALUE._col5), max(VALUE._col6), sum(VALUE._col7), count(VALUE._col8), max(VALUE._col9)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 6:bigint) -> bigint, VectorUDAFSumLong(col 7:bigint) -> bigint, VectorUDAFCountMerge(col 8:bigint) -> bigint, VectorUDAFMaxLong(col 9:int) -> int, VectorUDAFSumLong(col 10:bigint) -> bigint, VectorUDAFCountMerge(col 11:bigint) -> bigint, VectorUDAFMaxLong(col 12:int) -> int, VectorUDAFSumLong(col 13:bigint) -> bigint, VectorUDAFCountMerge(col 14:bigint) -> bigint, VectorUDAFMaxLong(col 15:int) -> int
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:int, col 4:int, col 5:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int), KEY._col4 (type: int), KEY._col5 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15
@@ -485,25 +784,50 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col6 (type: bigint), (_col7 / _col8) (type: double), _col9 (type: int), _col7 (type: bigint), _col4 (type: int), (_col10 / _col11) (type: double), _col12 (type: int), _col10 (type: bigint), _col5 (type: int), (_col13 / _col14) (type: double), _col15 (type: int), _col13 (type: bigint), _col3 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col9, _col10, _col11, _col12, _col14, _col15, _col16, _col17
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 6, 16, 9, 7, 4, 17, 12, 10, 5, 18, 15, 13, 3]
+ selectExpressions: LongColDivideLongColumn(col 7:bigint, col 8:bigint) -> 16:double, LongColDivideLongColumn(col 10:bigint, col 11:bigint) -> 17:double, LongColDivideLongColumn(col 13:bigint, col 14:bigint) -> 18:double
Statistics: Num rows: 1045432122 Data size: 92228325287 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col17 (type: int), _col7 (type: int), _col12 (type: int)
sort order: ++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1045432122 Data size: 92228325287 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: bigint), _col4 (type: double), _col5 (type: int), _col6 (type: bigint), _col9 (type: double), _col10 (type: int), _col11 (type: bigint), _col14 (type: double), _col15 (type: int), _col16 (type: bigint)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: double), VALUE._col2 (type: int), VALUE._col3 (type: bigint), KEY.reducesinkkey4 (type: int), VALUE._col0 (type: bigint), VALUE._col4 (type: double), VALUE._col5 (type: int), VALUE._col6 (type: bigint), KEY.reducesinkkey5 (type: int), VALUE._col0 (type: bigint), VALUE._col7 (type: double), VALUE._col8 (type: int), VALUE._col9 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 6, 7, 8, 9, 4, 6, 10, 11, 12, 5, 6, 13, 14, 15]
Statistics: Num rows: 1045432122 Data size: 92228325287 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query36.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query36.q.out b/ql/src/test/results/clientpositive/perf/spark/query36.q.out
index 694e579..5ff3d9d 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query36.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query36.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin
,i_category
@@ -27,7 +27,7 @@ select
,rank_within_parent
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin
,i_category
@@ -56,6 +56,10 @@ select
,rank_within_parent
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -72,18 +76,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_state) IN ('SD', 'FL', 'MI', 'LA', 'MO', 'SC', 'AL', 'GA') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 24, values SD, FL, MI, LA, MO, SC, AL, GA), SelectColumnIsNotNull(col 0:int))
predicate: ((s_state) IN ('SD', 'FL', 'MI', 'LA', 'MO', 'SC', 'AL', 'GA') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -103,62 +129,136 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_item_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_store_sk (type: int), ss_ext_sales_price (type: decimal(7,2)), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 7, 15, 22]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: d1
filterExpr: ((d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_class (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 10, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -185,6 +285,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -212,9 +317,23 @@ STAGE PLANS:
value expressions: _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: true
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:bigint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -222,19 +341,38 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 3, 4, 2]
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: (grouping(_col4, 1) + grouping(_col4, 0)) (type: bigint), CASE WHEN ((grouping(_col4, 0) = 0)) THEN (_col0) ELSE (CAST( null AS STRING)) END (type: string), (_col2 / _col3) (type: decimal(37,20))
sort order: +++
Map-reduce partition columns: (grouping(_col4, 1) + grouping(_col4, 0)) (type: bigint), CASE WHEN ((grouping(_col4, 0) = 0)) THEN (_col0) ELSE (CAST( null AS STRING)) END (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyExpressions: LongColAddLongColumn(col 5:bigint, col 6:bigint)(children: VectorUDFAdaptor(grouping(_col4, 1)) -> 5:bigint, VectorUDFAdaptor(grouping(_col4, 0)) -> 6:bigint) -> 7:bigint, IfExprColumnNull(col 6:boolean, col 0:string, null)(children: LongColEqualLongScalar(col 5:bigint, val 0)(children: VectorUDFAdaptor(grouping(_col4, 0)) -> 5:bigint) -> 6:boolean, col 0:string) -> 8:string, DecimalColDivideDecimalColumn(col 3:decimal(17,2), col 4:decimal(17,2)) -> 9:decimal(37,20)
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: true
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: decimal(17,2)), VALUE._col3 (type: decimal(17,2)), VALUE._col4 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 4, 5, 6, 7]
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -256,29 +394,62 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [DecimalColDivideDecimalColumn(col 5:decimal(17,2), col 6:decimal(17,2)) -> 14:decimal(37,20)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [DecimalColDivideDecimalColumn(col 5:decimal(17,2), col 6:decimal(17,2)) -> 13:decimal(37,20)]
+ partitionExpressions: [LongColAddLongColumn(col 9:bigint, col 10:bigint)(children: VectorUDFAdaptor(grouping(_col4, 1)) -> 9:bigint, VectorUDFAdaptor(grouping(_col4, 0)) -> 10:bigint) -> 11:bigint, IfExprColumnNull(col 10:boolean, col 3:string, null)(children: LongColEqualLongScalar(col 9:bigint, val 0)(children: VectorUDFAdaptor(grouping(_col4, 0)) -> 9:bigint) -> 10:boolean, col 3:string) -> 12:string]
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (_col2 / _col3) (type: decimal(37,20)), _col0 (type: string), _col1 (type: string), (grouping(_col4, 1) + grouping(_col4, 0)) (type: bigint), rank_window_0 (type: int), CASE WHEN (((grouping(_col4, 1) + grouping(_col4, 0)) = 0)) THEN (_col0) ELSE (null) END (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [15, 3, 4, 17, 8, 19]
+ selectExpressions: DecimalColDivideDecimalColumn(col 5:decimal(17,2), col 6:decimal(17,2)) -> 15:decimal(37,20), LongColAddLongColumn(col 9:bigint, col 16:bigint)(children: VectorUDFAdaptor(grouping(_col4, 1)) -> 9:bigint, VectorUDFAdaptor(grouping(_col4, 0)) -> 16:bigint) -> 17:bigint, IfExprColumnNull(col 9:boolean, col 3:string, null)(children: LongColEqualLongScalar(col 18:bigint, val 0)(children: LongColAddLongColumn(col 9:bigint, col 16:bigint)(children: VectorUDFAdaptor(grouping(_col4, 1)) -> 9:bigint, VectorUDFAdaptor(grouping(_col4, 0)) -> 16:bigint) -> 18:bigint) -> 9:boolean, col 3:string) -> 19:string
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col3 (type: bigint), _col5 (type: string), _col4 (type: int)
sort order: -++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col0 (type: decimal(37,20)), _col1 (type: string), _col2 (type: string)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: decimal(37,20)), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: bigint), KEY.reducesinkkey2 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 4, 5, 0, 2]
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[21/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query58.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query58.q.out b/ql/src/test/results/clientpositive/perf/spark/query58.q.out
index 59213cb..cdb4b97 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query58.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query58.q.out
@@ -1,7 +1,7 @@
Warning: Map Join MAPJOIN[183][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
Warning: Map Join MAPJOIN[184][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
Warning: Map Join MAPJOIN[185][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with ss_items as
(select i_item_id item_id
,sum(ss_ext_sales_price) ss_item_rev
@@ -65,7 +65,7 @@ with ss_items as
,ss_item_rev
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with ss_items as
(select i_item_id item_id
,sum(ss_ext_sales_price) ss_item_rev
@@ -129,6 +129,10 @@ with ss_items as
,ss_item_rev
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -149,37 +153,91 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_date = '1998-02-19') (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterStringGroupColEqualStringScalar(col 2:string, val 1998-02-19)
predicate: (d_date = '1998-02-19') (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 11
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColLessEqualLongScalar(col 1:bigint, val 1)(children: FuncAbsLongToLong(col 0:bigint) -> 1:bigint)
predicate: (sq_count_check(_col0) <= 1) (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -196,37 +254,91 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_date = '1998-02-19') (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterStringGroupColEqualStringScalar(col 2:string, val 1998-02-19)
predicate: (d_date = '1998-02-19') (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 24
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColLessEqualLongScalar(col 1:bigint, val 1)(children: FuncAbsLongToLong(col 0:bigint) -> 1:bigint)
predicate: (sq_count_check(_col0) <= 1) (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -243,37 +355,91 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_date = '1998-02-19') (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterStringGroupColEqualStringScalar(col 2:string, val 1998-02-19)
predicate: (d_date = '1998-02-19') (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 37
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColLessEqualLongScalar(col 1:bigint, val 1)(children: FuncAbsLongToLong(col 0:bigint) -> 1:bigint)
predicate: (sq_count_check(_col0) <= 1) (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -309,32 +475,65 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 15, 23]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_date = '1998-02-19') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 2:string, val 1998-02-19), SelectColumnIsNotNull(col 4:int))
predicate: ((d_date = '1998-02-19') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -342,6 +541,10 @@ STAGE PLANS:
keys:
0
1
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
0 Reducer 11
@@ -350,8 +553,21 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 41199072 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 15
@@ -360,92 +576,194 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_week_seq is not null and d_date is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 2:string))
predicate: (d_date is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date (type: string), d_week_seq (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 4]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 16
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_item_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 21
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:string), SelectColumnIsNotNull(col 0:int))
predicate: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_date = '1998-02-19') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 2:string, val 1998-02-19), SelectColumnIsNotNull(col 4:int))
predicate: ((d_date = '1998-02-19') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -453,6 +771,10 @@ STAGE PLANS:
keys:
0
1
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
0 Reducer 24
@@ -461,8 +783,21 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 41199072 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 28
@@ -471,92 +806,194 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_week_seq is not null and d_date is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 2:string))
predicate: (d_date is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date (type: string), d_week_seq (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 4]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 29
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 33
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_item_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 34
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:string), SelectColumnIsNotNull(col 0:int))
predicate: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 38
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_date = '1998-02-19') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 2:string, val 1998-02-19), SelectColumnIsNotNull(col 4:int))
predicate: ((d_date = '1998-02-19') and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -564,6 +1001,10 @@ STAGE PLANS:
keys:
0
1
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
0 Reducer 37
@@ -572,8 +1013,21 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 41199072 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 41
@@ -582,61 +1036,135 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_week_seq is not null and d_date is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 2:string))
predicate: (d_date is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date (type: string), d_week_seq (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 4]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_item_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:string), SelectColumnIsNotNull(col 0:int))
predicate: (d_date is not null and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 13
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -658,8 +1186,21 @@ STAGE PLANS:
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 14
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -668,8 +1209,17 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40176 Data size: 44957448 Basic stats: COMPLETE Column stats: NONE
Reducer 17
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -686,6 +1236,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col4 (type: string)
Reducer 18
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -709,9 +1264,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 19
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -720,9 +1289,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -739,6 +1317,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col4 (type: string)
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -754,6 +1337,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 26
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -775,8 +1363,21 @@ STAGE PLANS:
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 27
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -785,8 +1386,17 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40176 Data size: 44957448 Basic stats: COMPLETE Column stats: NONE
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -809,6 +1419,11 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 30
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -825,6 +1440,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col4 (type: string)
Reducer 31
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -848,9 +1468,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 32
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -859,9 +1493,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 35
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -877,6 +1520,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 39
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -898,9 +1546,23 @@ STAGE PLANS:
Statistics: Num rows: 80353 Data size: 89916016 Basic stats: COMPLETE Column stats: NONE
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -909,12 +1571,29 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2))
Reducer 40
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -923,8 +1602,17 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40176 Data size: 44957448 Basic stats: COMPLETE Column stats: NONE
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -951,22 +1639,43 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(38,17)), _col3 (type: decimal(17,2)), _col4 (type: decimal(38,17)), _col5 (type: decimal(17,2)), _col6 (type: decimal(38,17)), _col7 (type: decimal(23,6))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: decimal(17,2)), VALUE._col0 (type: decimal(38,17)), VALUE._col1 (type: decimal(17,2)), VALUE._col2 (type: decimal(38,17)), VALUE._col3 (type: decimal(17,2)), VALUE._col4 (type: decimal(38,17)), VALUE._col5 (type: decimal(23,6))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7]
Statistics: Num rows: 1442 Data size: 127213 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
[07/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query78.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query78.q.out b/ql/src/test/results/clientpositive/perf/spark/query78.q.out
index 15c7f04..720f654 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query78.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query78.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with ws as
(select d_year AS ws_sold_year, ws_item_sk,
ws_bill_customer_sk ws_customer_sk,
@@ -55,7 +55,7 @@ order by
round(ss_qty/(coalesce(ws_qty+cs_qty,1)),2)
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with ws as
(select d_year AS ws_sold_year, ws_item_sk,
ws_bill_customer_sk ws_customer_sk,
@@ -112,6 +112,10 @@ order by
round(ss_qty/(coalesce(ws_qty+cs_qty,1)),2)
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -140,144 +144,321 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: ws_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ws_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_bill_customer_sk (type: int), ws_order_number (type: int), ws_quantity (type: int), ws_wholesale_cost (type: decimal(7,2)), ws_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 4, 17, 18, 19, 21]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int), _col3 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col3 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: web_returns
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Select Operator
expressions: wr_item_sk (type: int), wr_order_number (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 13]
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: ((cs_item_sk = cs_item_sk) and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongColumn(col 15:int, col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: ((cs_item_sk = cs_item_sk) and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 143994918 Data size: 19499804476 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int), cs_item_sk (type: int), cs_order_number (type: int), cs_quantity (type: int), cs_wholesale_cost (type: decimal(7,2)), cs_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 15, 17, 18, 19, 21]
Statistics: Num rows: 143994918 Data size: 19499804476 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int), _col3 (type: int)
sort order: ++
Map-reduce partition columns: _col2 (type: int), _col3 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 143994918 Data size: 19499804476 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 21
Map Operator Tree:
TableScan
alias: catalog_returns
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Select Operator
expressions: cr_item_sk (type: int), cr_order_number (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 16]
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: ss_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ss_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_customer_sk (type: int), ss_ticket_number (type: int), ss_quantity (type: int), ss_wholesale_cost (type: decimal(7,2)), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 9, 10, 11, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int), _col3 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col3 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_returns
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Select Operator
expressions: sr_item_sk (type: int), sr_ticket_number (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 9]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -301,9 +482,23 @@ STAGE PLANS:
value expressions: _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 2:bigint) -> bigint, VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -311,14 +506,27 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: int), _col0 (type: int), _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2, 3, 4]
Statistics: Num rows: 43560808 Data size: 5923010147 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int), _col0 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 43560808 Data size: 5923010147 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -342,6 +550,11 @@ STAGE PLANS:
Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Reducer 17
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -365,9 +578,23 @@ STAGE PLANS:
value expressions: _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
Reducer 18
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 2:bigint) -> bigint, VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -375,14 +602,27 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 4]
Statistics: Num rows: 43558464 Data size: 5898691072 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 43558464 Data size: 5898691072 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: bigint), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -405,6 +645,11 @@ STAGE PLANS:
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
Reducer 20
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -429,9 +674,23 @@ STAGE PLANS:
value expressions: _col1 (type: int), _col2 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 2:bigint) -> bigint, VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -439,14 +698,27 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: int), _col0 (type: int), _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2, 3, 4]
Statistics: Num rows: 174238687 Data size: 15371387547 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int), _col0 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 174238687 Data size: 15371387547 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -466,6 +738,11 @@ STAGE PLANS:
Statistics: Num rows: 63887519 Data size: 5636175497 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col7 (type: bigint), _col8 (type: decimal(17,2)), _col9 (type: decimal(17,2))
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -489,22 +766,44 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: 2000 (type: int), KEY.reducesinkkey0 (type: int), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey8 (type: double), KEY.reducesinkkey2 (type: bigint), KEY.reducesinkkey3 (type: decimal(17,2)), KEY.reducesinkkey4 (type: decimal(17,2)), KEY.reducesinkkey5 (type: bigint), KEY.reducesinkkey6 (type: decimal(18,2)), KEY.reducesinkkey7 (type: decimal(18,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [9, 0, 1, 8, 2, 3, 4, 5, 6, 7]
+ selectExpressions: ConstantVectorExpression(val 2000) -> 9:int
Statistics: Num rows: 23425424 Data size: 2066597727 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query79.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query79.q.out b/ql/src/test/results/clientpositive/perf/spark/query79.q.out
index a83090f..4a7c8ba 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query79.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query79.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
c_last_name,c_first_name,substr(s_city,1,30),ss_ticket_number,amt,profit
from
@@ -20,7 +20,7 @@ select
order by c_last_name,c_first_name,substr(s_city,1,30), profit
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
c_last_name,c_first_name,substr(s_city,1,30),ss_ticket_number,amt,profit
from
@@ -42,6 +42,10 @@ select
order by c_last_name,c_first_name,substr(s_city,1,30), profit
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -58,18 +62,40 @@ STAGE PLANS:
alias: store
filterExpr: (s_number_employees BETWEEN 200 AND 295 and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 6:int, left 200, right 295), SelectColumnIsNotNull(col 0:int))
predicate: (s_number_employees BETWEEN 200 AND 295 and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 189 Data size: 361171 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_city (type: string)
outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 22]
Statistics: Num rows: 189 Data size: 361171 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col4 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 9
@@ -78,18 +104,40 @@ STAGE PLANS:
alias: household_demographics
filterExpr: (((hd_dep_count = 8) or (hd_vehicle_count > 0)) and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 3:int, val 8), FilterLongColGreaterLongScalar(col 4:int, val 0)), SelectColumnIsNotNull(col 0:int))
predicate: (((hd_dep_count = 8) or (hd_vehicle_count > 0)) and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 6000 Data size: 642000 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: hd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 6000 Data size: 642000 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -108,60 +156,134 @@ STAGE PLANS:
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 4
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null and ss_hdemo_sk is not null and ss_customer_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 5:int), SelectColumnIsNotNull(col 3:int))
predicate: (ss_customer_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_hdemo_sk (type: int), ss_addr_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_coupon_amt (type: decimal(7,2)), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 5, 6, 7, 9, 19, 22]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (1998, 1999, 2000) and (d_dow = 1) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [1998, 1999, 2000]), FilterLongColEqualLongScalar(col 7:int, val 1), SelectColumnIsNotNull(col 0:int))
predicate: ((d_dow = 1) and (d_year) IN (1998, 1999, 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -183,16 +305,32 @@ STAGE PLANS:
value expressions: _col3 (type: int), _col4 (type: decimal(17,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), VALUE._col0 (type: int), VALUE._col1 (type: decimal(17,2)), KEY.reducesinkkey3 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 4, 5, 3]
Statistics: Num rows: 421657640 Data size: 37198759428 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
@@ -201,6 +339,11 @@ STAGE PLANS:
Reducer 5
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -244,9 +387,23 @@ STAGE PLANS:
value expressions: _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:int, col 3:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -254,11 +411,19 @@ STAGE PLANS:
Select Operator
expressions: _col2 (type: int), _col0 (type: int), _col3 (type: string), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 0, 3, 4, 5]
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: string), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
[15/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query67.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query67.q.out b/ql/src/test/results/clientpositive/perf/spark/query67.q.out
index db91e67..8b2c2a1 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query67.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query67.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select *
from (select i_category
,i_class
@@ -41,7 +41,7 @@ order by i_category
,rk
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select *
from (select i_category
,i_class
@@ -84,6 +84,10 @@ order by i_category
,rk
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -100,18 +104,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -131,63 +157,137 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_store_sk (type: int), ss_quantity (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 7, 10, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int), d_moy (type: int), d_qoy (type: int)
outputColumnNames: _col0, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 8, 10]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand (type: string), i_class (type: string), i_category (type: string), i_product_name (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 10, 12, 21]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -214,6 +314,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2)), _col7 (type: int), _col8 (type: int), _col9 (type: int), _col11 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -241,9 +346,23 @@ STAGE PLANS:
value expressions: _col9 (type: decimal(28,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 9:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:int, col 5:int, col 6:int, col 7:string, col 8:bigint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: int), KEY._col5 (type: int), KEY._col6 (type: int), KEY._col7 (type: string), KEY._col8 (type: bigint)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col9
@@ -252,20 +371,39 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: string), _col9 (type: decimal(28,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8]
Statistics: Num rows: 3449926075 Data size: 304353479997 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col8 (type: decimal(28,2))
sort order: +-
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: No PTF TopN IS false
Statistics: Num rows: 3449926075 Data size: 304353479997 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: string)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: string), VALUE._col3 (type: int), VALUE._col4 (type: int), VALUE._col5 (type: int), VALUE._col6 (type: string), KEY.reducesinkkey1 (type: decimal(28,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 4, 5, 6, 7, 8, 1]
Statistics: Num rows: 3449926075 Data size: 304353479997 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -287,31 +425,67 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [col 1:decimal(28,2)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [col 1:decimal(28,2)]
+ partitionExpressions: [col 0:string]
Statistics: Num rows: 3449926075 Data size: 304353479997 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColLessEqualLongScalar(col 9:int, val 100)
predicate: (rank_window_0 <= 100) (type: boolean)
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: string), _col8 (type: decimal(28,2)), rank_window_0 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 4, 5, 6, 7, 8, 1, 9]
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: string), _col8 (type: decimal(28,2)), _col9 (type: int)
sort order: ++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: int), KEY.reducesinkkey5 (type: int), KEY.reducesinkkey6 (type: int), KEY.reducesinkkey7 (type: string), KEY.reducesinkkey8 (type: decimal(28,2)), KEY.reducesinkkey9 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query68.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query68.q.out b/ql/src/test/results/clientpositive/perf/spark/query68.q.out
index f2e6763..1f6902c 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query68.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query68.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select c_last_name
,c_first_name
,ca_city
@@ -39,7 +39,7 @@ select c_last_name
,ss_ticket_number
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select c_last_name
,c_first_name
,ca_city
@@ -80,6 +80,10 @@ select c_last_name
,ss_ticket_number
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -96,18 +100,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_city) IN ('Cedar Grove', 'Wildwood') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 22, values Cedar Grove, Wildwood), SelectColumnIsNotNull(col 0:int))
predicate: ((s_city) IN ('Cedar Grove', 'Wildwood') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col4 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 12
@@ -116,18 +142,40 @@ STAGE PLANS:
alias: household_demographics
filterExpr: (((hd_dep_count = 2) or (hd_vehicle_count = 1)) and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 3:int, val 2), FilterLongColEqualLongScalar(col 4:int, val 1)), SelectColumnIsNotNull(col 0:int))
predicate: (((hd_dep_count = 2) or (hd_vehicle_count = 1)) and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: hd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -148,100 +196,220 @@ STAGE PLANS:
alias: customer
filterExpr: (c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_addr_sk (type: int), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: string), _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (1998, 1999, 2000) and d_dom BETWEEN 1 AND 2 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [1998, 1999, 2000]), FilterLongColumnBetween(col 9:int, left 1, right 2), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year) IN (1998, 1999, 2000) and d_date_sk is not null and d_dom BETWEEN 1 AND 2) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_city (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 5
Map Operator Tree:
TableScan
alias: current_addr
filterExpr: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_city (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null and ss_hdemo_sk is not null and ss_addr_sk is not null and ss_customer_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 5:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 3:int))
predicate: (ss_addr_sk is not null and ss_customer_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_hdemo_sk (type: int), ss_addr_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_ext_sales_price (type: decimal(7,2)), ss_ext_list_price (type: decimal(7,2)), ss_ext_tax (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 5, 6, 7, 9, 15, 17, 18]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col8 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -258,6 +426,11 @@ STAGE PLANS:
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: string), _col3 (type: string), _col5 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -282,16 +455,32 @@ STAGE PLANS:
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey1 (type: int), VALUE._col3 (type: decimal(17,2)), VALUE._col4 (type: decimal(17,2)), VALUE._col5 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 4, 1, 5, 6, 7]
Statistics: Num rows: 463823414 Data size: 40918636263 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
@@ -300,6 +489,11 @@ STAGE PLANS:
Reducer 7
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -336,6 +530,11 @@ STAGE PLANS:
Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col5 (type: int), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col8 (type: decimal(7,2))
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -359,9 +558,23 @@ STAGE PLANS:
value expressions: _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2))
Reducer 9
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:string, col 2:int, col 3:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: int), KEY._col1 (type: string), KEY._col2 (type: int), KEY._col3 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
@@ -369,11 +582,19 @@ STAGE PLANS:
Select Operator
expressions: _col3 (type: int), _col0 (type: int), _col1 (type: string), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 0, 1, 4, 5, 6]
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: string), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2))
[22/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query57.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query57.q.out b/ql/src/test/results/clientpositive/perf/spark/query57.q.out
index 51e644a..53b6778 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query57.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query57.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with v1 as(
select i_category, i_brand,
cc_name,
@@ -45,7 +45,7 @@ with v1 as(
order by sum_sales - avg_monthly_sales, 3
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with v1 as(
select i_category, i_brand,
cc_name,
@@ -92,6 +92,10 @@ with v1 as(
order by sum_sales - avg_monthly_sales, 3
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -110,18 +114,40 @@ STAGE PLANS:
alias: call_center
filterExpr: (cc_call_center_sk is not null and cc_name is not null) (type: boolean)
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:string))
predicate: (cc_call_center_sk is not null and cc_name is not null) (type: boolean)
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cc_call_center_sk (type: int), cc_name (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6]
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -135,18 +161,40 @@ STAGE PLANS:
alias: call_center
filterExpr: (cc_call_center_sk is not null and cc_name is not null) (type: boolean)
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:string))
predicate: (cc_call_center_sk is not null and cc_name is not null) (type: boolean)
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cc_call_center_sk (type: int), cc_name (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6]
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -160,18 +208,40 @@ STAGE PLANS:
alias: call_center
filterExpr: (cc_call_center_sk is not null and cc_name is not null) (type: boolean)
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:string))
predicate: (cc_call_center_sk is not null and cc_name is not null) (type: boolean)
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cc_call_center_sk (type: int), cc_name (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6]
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -201,183 +271,395 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_sold_date_sk is not null and cs_call_center_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 11:int))
predicate: (cs_call_center_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_call_center_sk (type: int), cs_item_sk (type: int), cs_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 11, 15, 21]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_category is not null and i_brand is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:string), SelectColumnIsNotNull(col 8:string))
predicate: (i_brand is not null and i_category is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_sold_date_sk is not null and cs_call_center_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 11:int))
predicate: (cs_call_center_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_call_center_sk (type: int), cs_item_sk (type: int), cs_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 11, 15, 21]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 17
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 12)), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), FilterLongColEqualLongScalar(col 8:int, val 1))), SelectColumnIsNotNull(col 0:int))
predicate: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int), d_moy (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 8]
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_category is not null and i_brand is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:string), SelectColumnIsNotNull(col 8:string))
predicate: (i_brand is not null and i_category is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_sold_date_sk is not null and cs_call_center_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 11:int))
predicate: (cs_call_center_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_call_center_sk (type: int), cs_item_sk (type: int), cs_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 11, 15, 21]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 12)), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), FilterLongColEqualLongScalar(col 8:int, val 1))), SelectColumnIsNotNull(col 0:int))
predicate: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int), d_moy (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 8]
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 27
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk is not null and i_category is not null and i_brand is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:string), SelectColumnIsNotNull(col 8:string))
predicate: (i_brand is not null and i_category is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 12)), FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), FilterLongColEqualLongScalar(col 8:int, val 1))), SelectColumnIsNotNull(col 0:int))
predicate: (((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int), d_moy (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 8]
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73048 Data size: 81740712 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 12
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -404,6 +686,11 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: decimal(7,2)), _col5 (type: int), _col6 (type: int), _col8 (type: string)
Reducer 13
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -427,9 +714,23 @@ STAGE PLANS:
value expressions: _col5 (type: decimal(17,2))
Reducer 14
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:string, col 3:string, col 4:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -438,14 +739,28 @@ STAGE PLANS:
key expressions: _col4 (type: string), _col3 (type: string), _col2 (type: string), _col0 (type: int)
sort order: ++++
Map-reduce partition columns: _col4 (type: string), _col3 (type: string), _col2 (type: string), _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col5 (type: decimal(17,2))
Reducer 15
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey3 (type: int), VALUE._col0 (type: int), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col1 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 4, 2, 1, 0, 5]
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -466,18 +781,38 @@ STAGE PLANS:
name: avg
window function: GenericUDAFAverageEvaluatorDecimal
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorDecimalAvg]
+ functionInputExpressions: [col 5:decimal(17,2)]
+ functionNames: [avg]
+ native: true
+ orderExpressions: [col 0:string, col 1:string, col 2:string, col 3:int]
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: avg_window_0 (type: decimal(21,6)), _col0 (type: int), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: decimal(17,2))
outputColumnNames: avg_window_0, _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [6, 3, 4, 2, 1, 0, 5]
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col4 (type: string), _col3 (type: string), _col2 (type: string), _col0 (type: int), _col1 (type: int)
sort order: +++++
Map-reduce partition columns: _col4 (type: string), _col3 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
value expressions: avg_window_0 (type: decimal(21,6)), _col5 (type: decimal(17,2))
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank
+ vectorized: false
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: decimal(21,6)), KEY.reducesinkkey3 (type: int), KEY.reducesinkkey4 (type: int), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col1 (type: decimal(17,2))
@@ -527,6 +862,11 @@ STAGE PLANS:
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -555,6 +895,11 @@ STAGE PLANS:
Reducer 21
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -581,6 +926,11 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: decimal(7,2)), _col5 (type: int), _col6 (type: int), _col8 (type: string)
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -604,9 +954,23 @@ STAGE PLANS:
value expressions: _col5 (type: decimal(17,2))
Reducer 23
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:string, col 3:string, col 4:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -615,9 +979,18 @@ STAGE PLANS:
key expressions: _col4 (type: string), _col3 (type: string), _col2 (type: string), _col0 (type: int), _col1 (type: int)
sort order: +++++
Map-reduce partition columns: _col4 (type: string), _col3 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: decimal(17,2))
Reducer 24
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank
+ vectorized: false
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey3 (type: int), KEY.reducesinkkey4 (type: int), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col0 (type: decimal(17,2))
@@ -658,6 +1031,11 @@ STAGE PLANS:
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: decimal(17,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -681,9 +1059,23 @@ STAGE PLANS:
value expressions: _col5 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:string, col 3:string, col 4:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -692,9 +1084,18 @@ STAGE PLANS:
key expressions: _col4 (type: string), _col3 (type: string), _col2 (type: string), _col0 (type: int), _col1 (type: int)
sort order: +++++
Map-reduce partition columns: _col4 (type: string), _col3 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: decimal(17,2))
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: More than 1 argument expression of aggregation function rank
+ vectorized: false
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey3 (type: int), KEY.reducesinkkey4 (type: int), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col0 (type: decimal(17,2))
@@ -735,6 +1136,11 @@ STAGE PLANS:
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: decimal(17,2))
Reducer 6
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -758,16 +1164,32 @@ STAGE PLANS:
value expressions: _col0 (type: string), _col1 (type: string), _col3 (type: int), _col4 (type: decimal(21,6)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2))
Reducer 7
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), KEY.reducesinkkey1 (type: int), VALUE._col2 (type: int), VALUE._col3 (type: decimal(21,6)), VALUE._col4 (type: decimal(17,2)), VALUE._col5 (type: decimal(17,2)), VALUE._col6 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 1, 4, 5, 6, 7, 8]
Statistics: Num rows: 421645952 Data size: 57099332264 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[51/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
HIVE-20315: Vectorization: Fix more NULL / Wrong Results issues and avoid unnecessary casts/conversions (Matt McCline, reviewed by Teddy Choi)
Project: http://git-wip-us.apache.org/repos/asf/hive/repo
Commit: http://git-wip-us.apache.org/repos/asf/hive/commit/470ba3e2
Tree: http://git-wip-us.apache.org/repos/asf/hive/tree/470ba3e2
Diff: http://git-wip-us.apache.org/repos/asf/hive/diff/470ba3e2
Branch: refs/heads/master
Commit: 470ba3e2835ef769f940d013acbe6c05d9208903
Parents: c0f63bf
Author: Matt McCline <mm...@hortonworks.com>
Authored: Wed Aug 8 02:37:03 2018 -0500
Committer: Matt McCline <mm...@hortonworks.com>
Committed: Wed Aug 8 02:37:03 2018 -0500
----------------------------------------------------------------------
.../ql/exec/vector/VectorColumnSetInfo.java | 8 +-
.../hive/ql/exec/vector/VectorCopyRow.java | 63 +-
.../ql/exec/vector/VectorGroupKeyHelper.java | 5 +-
.../exec/vector/VectorHashKeyWrapperBatch.java | 12 +-
.../exec/vector/VectorSMBMapJoinOperator.java | 2 +-
.../ql/exec/vector/VectorizationContext.java | 46 +-
.../expressions/CastStringGroupToString.java | 40 -
.../ql/exec/vector/expressions/VectorElt.java | 168 +-
.../VectorExpressionWriterFactory.java | 34 +
.../hive/ql/optimizer/physical/Vectorizer.java | 19 +-
.../vector/TestVectorHashKeyWrapperBatch.java | 6 +-
.../ql/exec/vector/TestVectorRowObject.java | 3 +-
.../hive/ql/exec/vector/TestVectorSerDeRow.java | 137 +-
.../ql/exec/vector/VectorRandomRowSource.java | 67 +-
.../hive/ql/exec/vector/VectorVerifyFast.java | 6 +-
.../aggregation/TestVectorAggregation.java | 9 +-
.../expressions/TestVectorArithmetic.java | 14 +-
.../vector/expressions/TestVectorBetweenIn.java | 38 +-
.../expressions/TestVectorCastStatement.java | 11 +-
.../expressions/TestVectorCoalesceElt.java | 87 +-
.../expressions/TestVectorDateAddSub.java | 10 +-
.../vector/expressions/TestVectorDateDiff.java | 9 +-
.../expressions/TestVectorFilterCompare.java | 12 +-
.../expressions/TestVectorIfStatement.java | 3 +-
.../vector/expressions/TestVectorIndex.java | 5 +-
.../vector/expressions/TestVectorNegative.java | 21 +-
.../exec/vector/expressions/TestVectorNull.java | 14 +-
.../expressions/TestVectorStringConcat.java | 3 +-
.../expressions/TestVectorStringUnary.java | 3 +-
.../expressions/TestVectorStructField.java | 370 ++
.../vector/expressions/TestVectorSubStr.java | 3 +-
.../expressions/TestVectorTimestampExtract.java | 3 +-
.../fast/TestVectorMapJoinFastRowHashMap.java | 101 +-
.../test/queries/clientpositive/perf/query1.q | 7 +-
.../test/queries/clientpositive/perf/query10.q | 7 +-
.../test/queries/clientpositive/perf/query11.q | 7 +-
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.../test/queries/clientpositive/perf/query68.q | 7 +-
.../test/queries/clientpositive/perf/query69.q | 7 +-
.../test/queries/clientpositive/perf/query7.q | 7 +-
.../test/queries/clientpositive/perf/query70.q | 7 +-
.../test/queries/clientpositive/perf/query71.q | 7 +-
.../test/queries/clientpositive/perf/query72.q | 7 +-
.../test/queries/clientpositive/perf/query73.q | 7 +-
.../test/queries/clientpositive/perf/query74.q | 7 +-
.../test/queries/clientpositive/perf/query75.q | 7 +-
.../test/queries/clientpositive/perf/query76.q | 7 +-
.../test/queries/clientpositive/perf/query77.q | 7 +-
.../test/queries/clientpositive/perf/query78.q | 7 +-
.../test/queries/clientpositive/perf/query79.q | 7 +-
.../test/queries/clientpositive/perf/query8.q | 7 +-
.../test/queries/clientpositive/perf/query80.q | 7 +-
.../test/queries/clientpositive/perf/query81.q | 7 +-
.../test/queries/clientpositive/perf/query82.q | 7 +-
.../test/queries/clientpositive/perf/query83.q | 7 +-
.../test/queries/clientpositive/perf/query84.q | 7 +-
.../test/queries/clientpositive/perf/query85.q | 7 +-
.../test/queries/clientpositive/perf/query86.q | 7 +-
.../test/queries/clientpositive/perf/query87.q | 7 +-
.../test/queries/clientpositive/perf/query88.q | 7 +-
.../test/queries/clientpositive/perf/query89.q | 7 +-
.../test/queries/clientpositive/perf/query9.q | 7 +-
.../test/queries/clientpositive/perf/query90.q | 7 +-
.../test/queries/clientpositive/perf/query91.q | 7 +-
.../test/queries/clientpositive/perf/query92.q | 7 +-
.../test/queries/clientpositive/perf/query93.q | 7 +-
.../test/queries/clientpositive/perf/query94.q | 7 +-
.../test/queries/clientpositive/perf/query95.q | 7 +-
.../test/queries/clientpositive/perf/query96.q | 7 +-
.../test/queries/clientpositive/perf/query97.q | 7 +-
.../test/queries/clientpositive/perf/query98.q | 7 +-
.../test/queries/clientpositive/perf/query99.q | 7 +-
.../clientpositive/query_result_fileformat.q | 4 +-
.../llap/convert_decimal64_to_decimal.q.out | 4 +-
.../llap/vector_binary_join_groupby.q.out | 7 +-
.../llap/vector_case_when_1.q.out | 8 +-
.../llap/vector_char_mapjoin1.q.out | 1 -
.../llap/vector_decimal_mapjoin.q.out | 6 +-
.../llap/vector_outer_reference_windowed.q.out | 8 +-
.../clientpositive/llap/vector_udf1.q.out | 18 +-
.../clientpositive/llap/vectorized_casts.q.out | 6 +-
.../llap/vectorized_mapjoin3.q.out | 27 +-
.../clientpositive/perf/spark/query1.q.out | 242 +-
.../clientpositive/perf/spark/query10.q.out | 346 +-
.../clientpositive/perf/spark/query11.q.out | 449 +-
.../clientpositive/perf/spark/query12.q.out | 145 +-
.../clientpositive/perf/spark/query13.q.out | 180 +-
.../clientpositive/perf/spark/query15.q.out | 149 +-
.../clientpositive/perf/spark/query16.q.out | 257 +-
.../clientpositive/perf/spark/query17.q.out | 260 +-
.../clientpositive/perf/spark/query18.q.out | 238 +-
.../clientpositive/perf/spark/query19.q.out | 203 +-
.../clientpositive/perf/spark/query2.q.out | 261 +-
.../clientpositive/perf/spark/query20.q.out | 145 +-
.../clientpositive/perf/spark/query21.q.out | 145 +-
.../clientpositive/perf/spark/query22.q.out | 150 +-
.../clientpositive/perf/spark/query23.q.out | 891 ++-
.../clientpositive/perf/spark/query24.q.out | 423 +-
.../clientpositive/perf/spark/query25.q.out | 251 +-
.../clientpositive/perf/spark/query26.q.out | 176 +-
.../clientpositive/perf/spark/query27.q.out | 176 +-
.../clientpositive/perf/spark/query28.q.out | 483 +-
.../clientpositive/perf/spark/query29.q.out | 253 +-
.../clientpositive/perf/spark/query3.q.out | 121 +-
.../clientpositive/perf/spark/query30.q.out | 300 +-
.../clientpositive/perf/spark/query31.q.out | 600 +-
.../clientpositive/perf/spark/query32.q.out | 189 +-
.../clientpositive/perf/spark/query33.q.out | 446 +-
.../clientpositive/perf/spark/query34.q.out | 170 +-
.../clientpositive/perf/spark/query35.q.out | 328 +-
.../clientpositive/perf/spark/query36.q.out | 175 +-
.../clientpositive/perf/spark/query37.q.out | 141 +-
.../clientpositive/perf/spark/query38.q.out | 383 +-
.../clientpositive/perf/spark/query39.q.out | 291 +-
.../clientpositive/perf/spark/query4.q.out | 659 +-
.../clientpositive/perf/spark/query40.q.out | 165 +-
.../clientpositive/perf/spark/query42.q.out | 126 +-
.../clientpositive/perf/spark/query43.q.out | 115 +-
.../clientpositive/perf/spark/query44.q.out | 309 +-
.../clientpositive/perf/spark/query45.q.out | 280 +-
.../clientpositive/perf/spark/query46.q.out | 225 +-
.../clientpositive/perf/spark/query47.q.out | 426 +-
.../clientpositive/perf/spark/query48.q.out | 153 +-
.../clientpositive/perf/spark/query49.q.out | 516 +-
.../clientpositive/perf/spark/query5.q.out | 443 +-
.../clientpositive/perf/spark/query50.q.out | 171 +-
.../clientpositive/perf/spark/query51.q.out | 158 +-
.../clientpositive/perf/spark/query52.q.out | 126 +-
.../clientpositive/perf/spark/query53.q.out | 130 +-
.../clientpositive/perf/spark/query54.q.out | 611 +-
.../clientpositive/perf/spark/query55.q.out | 125 +-
.../clientpositive/perf/spark/query56.q.out | 446 +-
.../clientpositive/perf/spark/query57.q.out | 426 +-
.../clientpositive/perf/spark/query58.q.out | 713 ++-
.../clientpositive/perf/spark/query59.q.out | 267 +-
.../clientpositive/perf/spark/query6.q.out | 374 +-
.../clientpositive/perf/spark/query60.q.out | 446 +-
.../clientpositive/perf/spark/query61.q.out | 402 +-
.../clientpositive/perf/spark/query63.q.out | 130 +-
.../clientpositive/perf/spark/query65.q.out | 247 +-
.../clientpositive/perf/spark/query66.q.out | 351 +-
.../clientpositive/perf/spark/query67.q.out | 178 +-
.../clientpositive/perf/spark/query68.q.out | 225 +-
.../clientpositive/perf/spark/query69.q.out | 351 +-
.../clientpositive/perf/spark/query7.q.out | 176 +-
.../clientpositive/perf/spark/query70.q.out | 274 +-
.../clientpositive/perf/spark/query71.q.out | 229 +-
.../clientpositive/perf/spark/query72.q.out | 327 +-
.../clientpositive/perf/spark/query73.q.out | 170 +-
.../clientpositive/perf/spark/query74.q.out | 453 +-
.../clientpositive/perf/spark/query75.q.out | 590 +-
.../clientpositive/perf/spark/query76.q.out | 279 +-
.../clientpositive/perf/spark/query77.q.out | 561 +-
.../clientpositive/perf/spark/query78.q.out | 303 +-
.../clientpositive/perf/spark/query79.q.out | 169 +-
.../clientpositive/perf/spark/query8.q.out | 315 +-
.../clientpositive/perf/spark/query80.q.out | 557 +-
.../clientpositive/perf/spark/query81.q.out | 305 +-
.../clientpositive/perf/spark/query82.q.out | 141 +-
.../clientpositive/perf/spark/query83.q.out | 560 +-
.../clientpositive/perf/spark/query84.q.out | 174 +-
.../clientpositive/perf/spark/query85.q.out | 254 +-
.../clientpositive/perf/spark/query86.q.out | 151 +-
.../clientpositive/perf/spark/query87.q.out | 439 +-
.../clientpositive/perf/spark/query88.q.out | 1010 ++-
.../clientpositive/perf/spark/query89.q.out | 177 +-
.../clientpositive/perf/spark/query9.q.out | 864 ++-
.../clientpositive/perf/spark/query90.q.out | 282 +-
.../clientpositive/perf/spark/query91.q.out | 222 +-
.../clientpositive/perf/spark/query92.q.out | 207 +-
.../clientpositive/perf/spark/query93.q.out | 119 +-
.../clientpositive/perf/spark/query94.q.out | 257 +-
.../clientpositive/perf/spark/query95.q.out | 338 +-
.../clientpositive/perf/spark/query96.q.out | 153 +-
.../clientpositive/perf/spark/query97.q.out | 178 +-
.../clientpositive/perf/spark/query98.q.out | 142 +-
.../clientpositive/perf/spark/query99.q.out | 186 +-
.../clientpositive/perf/tez/query1.q.out | 581 +-
.../clientpositive/perf/tez/query10.q.out | 914 ++-
.../clientpositive/perf/tez/query11.q.out | 1442 ++++-
.../clientpositive/perf/tez/query12.q.out | 474 +-
.../clientpositive/perf/tez/query13.q.out | 856 ++-
.../clientpositive/perf/tez/query14.q.out | 6055 ++++++++++++++----
.../clientpositive/perf/tez/query15.q.out | 484 +-
.../clientpositive/perf/tez/query16.q.out | 830 ++-
.../clientpositive/perf/tez/query17.q.out | 1099 +++-
.../clientpositive/perf/tez/query18.q.out | 853 ++-
.../clientpositive/perf/tez/query19.q.out | 824 ++-
.../clientpositive/perf/tez/query2.q.out | 800 ++-
.../clientpositive/perf/tez/query20.q.out | 474 +-
.../clientpositive/perf/tez/query21.q.out | 402 +-
.../clientpositive/perf/tez/query22.q.out | 400 +-
.../clientpositive/perf/tez/query23.q.out | 2316 +++++--
.../clientpositive/perf/tez/query24.q.out | 1588 ++++-
.../clientpositive/perf/tez/query25.q.out | 1051 ++-
.../clientpositive/perf/tez/query26.q.out | 761 ++-
.../clientpositive/perf/tez/query27.q.out | 768 ++-
.../clientpositive/perf/tez/query28.q.out | 979 ++-
.../clientpositive/perf/tez/query29.q.out | 1173 +++-
.../clientpositive/perf/tez/query3.q.out | 461 +-
.../clientpositive/perf/tez/query30.q.out | 707 +-
.../clientpositive/perf/tez/query31.q.out | 2153 +++++--
.../clientpositive/perf/tez/query32.q.out | 474 +-
.../clientpositive/perf/tez/query33.q.out | 1627 ++++-
.../clientpositive/perf/tez/query34.q.out | 752 ++-
.../clientpositive/perf/tez/query35.q.out | 1071 +++-
.../clientpositive/perf/tez/query36.q.out | 691 +-
.../clientpositive/perf/tez/query37.q.out | 515 +-
.../clientpositive/perf/tez/query38.q.out | 1043 ++-
.../clientpositive/perf/tez/query39.q.out | 657 +-
.../clientpositive/perf/tez/query4.q.out | 2146 +++++--
.../clientpositive/perf/tez/query40.q.out | 677 +-
.../clientpositive/perf/tez/query42.q.out | 470 +-
.../clientpositive/perf/tez/query43.q.out | 468 +-
.../clientpositive/perf/tez/query44.q.out | 650 +-
.../clientpositive/perf/tez/query45.q.out | 834 ++-
.../clientpositive/perf/tez/query46.q.out | 924 ++-
.../clientpositive/perf/tez/query47.q.out | 917 ++-
.../clientpositive/perf/tez/query48.q.out | 700 +-
.../clientpositive/perf/tez/query49.q.out | 1635 ++++-
.../clientpositive/perf/tez/query5.q.out | 1645 ++++-
.../clientpositive/perf/tez/query50.q.out | 776 ++-
.../clientpositive/perf/tez/query51.q.out | 535 +-
.../clientpositive/perf/tez/query52.q.out | 471 +-
.../clientpositive/perf/tez/query53.q.out | 629 +-
.../clientpositive/perf/tez/query54.q.out | 1683 ++++-
.../clientpositive/perf/tez/query55.q.out | 470 +-
.../clientpositive/perf/tez/query56.q.out | 1627 ++++-
.../clientpositive/perf/tez/query57.q.out | 917 ++-
.../clientpositive/perf/tez/query58.q.out | 1396 +++-
.../clientpositive/perf/tez/query59.q.out | 988 ++-
.../clientpositive/perf/tez/query6.q.out | 1079 +++-
.../clientpositive/perf/tez/query60.q.out | 1662 ++++-
.../clientpositive/perf/tez/query61.q.out | 1456 ++++-
.../clientpositive/perf/tez/query63.q.out | 629 +-
.../clientpositive/perf/tez/query64.q.out | 3721 ++++++++---
.../clientpositive/perf/tez/query65.q.out | 764 ++-
.../clientpositive/perf/tez/query66.q.out | 1277 +++-
.../clientpositive/perf/tez/query67.q.out | 588 +-
.../clientpositive/perf/tez/query68.q.out | 756 ++-
.../clientpositive/perf/tez/query69.q.out | 946 ++-
.../clientpositive/perf/tez/query7.q.out | 761 ++-
.../clientpositive/perf/tez/query70.q.out | 781 ++-
.../clientpositive/perf/tez/query71.q.out | 1067 ++-
.../clientpositive/perf/tez/query72.q.out | 1328 +++-
.../clientpositive/perf/tez/query73.q.out | 592 +-
.../clientpositive/perf/tez/query74.q.out | 1425 ++++-
.../clientpositive/perf/tez/query75.q.out | 2479 +++++--
.../clientpositive/perf/tez/query76.q.out | 1134 +++-
.../clientpositive/perf/tez/query77.q.out | 1434 ++++-
.../clientpositive/perf/tez/query78.q.out | 1030 ++-
.../clientpositive/perf/tez/query79.q.out | 753 ++-
.../clientpositive/perf/tez/query8.q.out | 938 ++-
.../clientpositive/perf/tez/query80.q.out | 2226 +++++--
.../clientpositive/perf/tez/query81.q.out | 719 ++-
.../clientpositive/perf/tez/query82.q.out | 515 +-
.../clientpositive/perf/tez/query83.q.out | 893 ++-
.../clientpositive/perf/tez/query84.q.out | 469 +-
.../clientpositive/perf/tez/query85.q.out | 803 ++-
.../clientpositive/perf/tez/query86.q.out | 493 +-
.../clientpositive/perf/tez/query87.q.out | 1216 +++-
.../clientpositive/perf/tez/query88.q.out | 2225 ++++---
.../clientpositive/perf/tez/query89.q.out | 693 +-
.../clientpositive/perf/tez/query9.q.out | 1770 ++++-
.../clientpositive/perf/tez/query90.q.out | 710 +-
.../clientpositive/perf/tez/query91.q.out | 605 +-
.../clientpositive/perf/tez/query92.q.out | 515 +-
.../clientpositive/perf/tez/query93.q.out | 464 +-
.../clientpositive/perf/tez/query94.q.out | 830 ++-
.../clientpositive/perf/tez/query95.q.out | 1076 +++-
.../clientpositive/perf/tez/query96.q.out | 432 +-
.../clientpositive/perf/tez/query97.q.out | 446 +-
.../clientpositive/perf/tez/query98.q.out | 465 +-
.../clientpositive/perf/tez/query99.q.out | 551 +-
.../query_result_fileformat.q.out | 76 +-
.../spark/vector_decimal_mapjoin.q.out | 6 +-
.../vector_binary_join_groupby.q.out | 2 +-
.../clientpositive/vector_case_when_1.q.out | 8 +-
.../clientpositive/vector_char_mapjoin1.q.out | 2 +-
.../clientpositive/vector_decimal_mapjoin.q.out | 6 +-
.../clientpositive/vectorized_casts.q.out | 6 +-
.../hadoop/hive/serde2/RandomTypeUtil.java | 29 +
340 files changed, 110242 insertions(+), 21365 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorColumnSetInfo.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorColumnSetInfo.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorColumnSetInfo.java
index 7758ac4..2f15749 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorColumnSetInfo.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorColumnSetInfo.java
@@ -20,6 +20,7 @@ package org.apache.hadoop.hive.ql.exec.vector;
import java.util.Arrays;
+import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
import org.apache.hadoop.hive.ql.exec.vector.ColumnVector;
import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type;
import org.apache.hadoop.hive.ql.metadata.HiveException;
@@ -105,9 +106,12 @@ public class VectorColumnSetInfo {
}
- protected void addKey(TypeInfo typeInfo) throws HiveException {
+ protected void addKey(TypeInfo typeInfo, DataTypePhysicalVariation dataTypePhysicalVariation)
+ throws HiveException {
- Type columnVectorType = VectorizationContext.getColumnVectorTypeFromTypeInfo(typeInfo);
+ Type columnVectorType =
+ VectorizationContext.getColumnVectorTypeFromTypeInfo(
+ typeInfo, dataTypePhysicalVariation);
switch (columnVectorType) {
case LONG:
case DECIMAL_64:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorCopyRow.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorCopyRow.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorCopyRow.java
index bedc12a..586d100 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorCopyRow.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorCopyRow.java
@@ -22,6 +22,7 @@ import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type;
import org.apache.hadoop.hive.ql.metadata.HiveException;
+import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
@@ -170,14 +171,72 @@ public class VectorCopyRow {
private class DecimalCopyRow extends CopyRow {
+ private HiveDecimalWritable decimalWritableTemp;
+
DecimalCopyRow(int inColumnIndex, int outColumnIndex) {
super(inColumnIndex, outColumnIndex);
}
@Override
void copy(VectorizedRowBatch inBatch, int inBatchIndex, VectorizedRowBatch outBatch, int outBatchIndex) {
- DecimalColumnVector inColVector = (DecimalColumnVector) inBatch.cols[inColumnIndex];
- DecimalColumnVector outColVector = (DecimalColumnVector) outBatch.cols[outColumnIndex];
+
+ // FUTURE: Figure out how to avoid this runtime checking by working out
+ // DECIMAL_64 to DECIMAL and DECIMAL_64 to DECIMAL_64 up front...
+
+ ColumnVector inColVectorBase = inBatch.cols[inColumnIndex];
+ ColumnVector outColVectorBase = outBatch.cols[outColumnIndex];
+ if (inColVectorBase instanceof Decimal64ColumnVector) {
+ Decimal64ColumnVector inColVector = (Decimal64ColumnVector) inColVectorBase;
+
+ if (outColVectorBase instanceof Decimal64ColumnVector) {
+ Decimal64ColumnVector outColVector = (Decimal64ColumnVector) outColVectorBase;
+
+ if (inColVector.isRepeating) {
+ if (inColVector.noNulls || !inColVector.isNull[0]) {
+ outColVector.vector[outBatchIndex] = inColVector.vector[0];
+ outColVector.isNull[outBatchIndex] = false;
+ } else {
+ VectorizedBatchUtil.setNullColIsNullValue(outColVector, outBatchIndex);
+ }
+ } else {
+ if (inColVector.noNulls || !inColVector.isNull[inBatchIndex]) {
+ outColVector.vector[outBatchIndex] = inColVector.vector[inBatchIndex];
+ outColVector.isNull[outBatchIndex] = false;
+ } else {
+ VectorizedBatchUtil.setNullColIsNullValue(outColVector, outBatchIndex);
+ }
+ }
+ } else {
+ DecimalColumnVector outColVector = (DecimalColumnVector) outColVectorBase;
+
+ if (decimalWritableTemp == null) {
+ decimalWritableTemp = new HiveDecimalWritable(0);
+ }
+ if (inColVector.isRepeating) {
+ if (inColVector.noNulls || !inColVector.isNull[0]) {
+ decimalWritableTemp.deserialize64(
+ inColVector.vector[0], inColVector.scale);
+ outColVector.set(outBatchIndex, decimalWritableTemp);
+ outColVector.isNull[outBatchIndex] = false;
+ } else {
+ VectorizedBatchUtil.setNullColIsNullValue(outColVector, outBatchIndex);
+ }
+ } else {
+ if (inColVector.noNulls || !inColVector.isNull[inBatchIndex]) {
+ decimalWritableTemp.deserialize64(
+ inColVector.vector[inBatchIndex], inColVector.scale);
+ outColVector.set(outBatchIndex, decimalWritableTemp);
+ outColVector.isNull[outBatchIndex] = false;
+ } else {
+ VectorizedBatchUtil.setNullColIsNullValue(outColVector, outBatchIndex);
+ }
+ }
+ }
+ return;
+ }
+
+ DecimalColumnVector inColVector = (DecimalColumnVector) inColVectorBase;
+ DecimalColumnVector outColVector = (DecimalColumnVector) outColVectorBase;
if (inColVector.isRepeating) {
if (inColVector.noNulls || !inColVector.isNull[0]) {
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupKeyHelper.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupKeyHelper.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupKeyHelper.java
index 82dc4a7..6f8822d 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupKeyHelper.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorGroupKeyHelper.java
@@ -20,6 +20,7 @@ package org.apache.hadoop.hive.ql.exec.vector;
import java.io.IOException;
+import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
import org.apache.hadoop.hive.ql.exec.vector.ColumnVector.Type;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.metadata.HiveException;
@@ -49,7 +50,9 @@ public class VectorGroupKeyHelper extends VectorColumnSetInfo {
VectorExpression keyExpression = keyExpressions[i];
TypeInfo typeInfo = keyExpression.getOutputTypeInfo();
- addKey(typeInfo);
+ DataTypePhysicalVariation dataTypePhysicalVariation =
+ keyExpression.getOutputDataTypePhysicalVariation();
+ addKey(typeInfo, dataTypePhysicalVariation);
// The output of the key expression is the input column.
final int inputColumnNum = keyExpression.getOutputColumnNum();
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorHashKeyWrapperBatch.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorHashKeyWrapperBatch.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorHashKeyWrapperBatch.java
index 689d3c3..fe504a6 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorHashKeyWrapperBatch.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorHashKeyWrapperBatch.java
@@ -18,6 +18,7 @@
package org.apache.hadoop.hive.ql.exec.vector;
+import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpressionWriter;
import org.apache.hadoop.hive.ql.metadata.HiveException;
@@ -877,10 +878,12 @@ public class VectorHashKeyWrapperBatch extends VectorColumnSetInfo {
final int size = keyExpressions.length;
TypeInfo[] typeInfos = new TypeInfo[size];
+ DataTypePhysicalVariation[] dataTypePhysicalVariations = new DataTypePhysicalVariation[size];
for (int i = 0; i < size; i++) {
typeInfos[i] = keyExpressions[i].getOutputTypeInfo();
+ dataTypePhysicalVariations[i] = keyExpressions[i].getOutputDataTypePhysicalVariation();
}
- return compileKeyWrapperBatch(keyExpressions, typeInfos);
+ return compileKeyWrapperBatch(keyExpressions, typeInfos, dataTypePhysicalVariations);
}
/**
@@ -890,7 +893,7 @@ public class VectorHashKeyWrapperBatch extends VectorColumnSetInfo {
* will be used to generate proper individual VectorKeyHashWrapper objects.
*/
public static VectorHashKeyWrapperBatch compileKeyWrapperBatch(VectorExpression[] keyExpressions,
- TypeInfo[] typeInfos)
+ TypeInfo[] typeInfos, DataTypePhysicalVariation[] dataTypePhysicalVariations)
throws HiveException {
VectorHashKeyWrapperBatch compiledKeyWrapperBatch = new VectorHashKeyWrapperBatch(keyExpressions.length);
compiledKeyWrapperBatch.keyExpressions = keyExpressions;
@@ -899,7 +902,7 @@ public class VectorHashKeyWrapperBatch extends VectorColumnSetInfo {
// Inspect the output type of each key expression.
for(int i=0; i < typeInfos.length; ++i) {
- compiledKeyWrapperBatch.addKey(typeInfos[i]);
+ compiledKeyWrapperBatch.addKey(typeInfos[i], dataTypePhysicalVariations[i]);
}
compiledKeyWrapperBatch.finishAdding();
@@ -962,6 +965,7 @@ public class VectorHashKeyWrapperBatch extends VectorColumnSetInfo {
switch (columnVectorType) {
case LONG:
+ case DECIMAL_64:
return keyOutputWriter.writeValue(
kw.getLongValue(columnTypeSpecificIndex));
case DOUBLE:
@@ -975,8 +979,6 @@ public class VectorHashKeyWrapperBatch extends VectorColumnSetInfo {
case DECIMAL:
return keyOutputWriter.writeValue(
kw.getDecimal(columnTypeSpecificIndex));
- case DECIMAL_64:
- throw new RuntimeException("Getting writable for DECIMAL_64 not supported");
case TIMESTAMP:
return keyOutputWriter.writeValue(
kw.getTimestamp(columnTypeSpecificIndex));
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorSMBMapJoinOperator.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorSMBMapJoinOperator.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorSMBMapJoinOperator.java
index 35f810f..879a7b4 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorSMBMapJoinOperator.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorSMBMapJoinOperator.java
@@ -129,7 +129,7 @@ public class VectorSMBMapJoinOperator extends SMBMapJoinOperator
List<ExprNodeDesc> keyDesc = desc.getKeys().get(posBigTable);
keyExpressions = vContext.getVectorExpressions(keyDesc);
- keyOutputWriters = VectorExpressionWriterFactory.getExpressionWriters(keyDesc);
+ keyOutputWriters = VectorExpressionWriterFactory.getExpressionWriters(keyExpressions);
Map<Byte, List<ExprNodeDesc>> exprs = desc.getExprs();
bigTableValueExpressions = vContext.getVectorExpressions(exprs.get(posBigTable));
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizationContext.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizationContext.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizationContext.java
index d6bfa7a..125bc65 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizationContext.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorizationContext.java
@@ -1806,6 +1806,25 @@ public class VectorizationContext {
return vectorExpression;
}
+ public void wrapWithDecimal64ToDecimalConversions(VectorExpression[] vecExprs)
+ throws HiveException{
+ if (vecExprs == null) {
+ return;
+ }
+ final int size = vecExprs.length;
+ for (int i = 0; i < size; i++) {
+ VectorExpression vecExpr = vecExprs[i];
+ if (vecExpr.getOutputTypeInfo() instanceof DecimalTypeInfo) {
+ DataTypePhysicalVariation outputDataTypePhysicalVariation =
+ vecExpr.getOutputDataTypePhysicalVariation();
+ if (outputDataTypePhysicalVariation == DataTypePhysicalVariation.DECIMAL_64) {
+ vecExprs[i] =
+ wrapWithDecimal64ToDecimalConversion(vecExpr);
+ }
+ }
+ }
+ }
+
public VectorExpression wrapWithDecimal64ToDecimalConversion(VectorExpression inputExpression)
throws HiveException {
@@ -2854,7 +2873,11 @@ public class VectorizationContext {
} else if (isTimestampFamily(inputType)) {
return createVectorExpression(CastTimestampToString.class, childExpr, VectorExpressionDescriptor.Mode.PROJECTION, returnType);
} else if (isStringFamily(inputType)) {
- return createVectorExpression(CastStringGroupToString.class, childExpr, VectorExpressionDescriptor.Mode.PROJECTION, returnType);
+
+ // STRING and VARCHAR types require no conversion, so use a no-op.
+ // Also, CHAR is stored in BytesColumnVector with trimmed blank padding, so it also
+ // requires no conversion;
+ return getIdentityExpression(childExpr);
}
return null;
}
@@ -3074,8 +3097,27 @@ public class VectorizationContext {
List<ExprNodeDesc> castChildren = new ArrayList<ExprNodeDesc>();
boolean wereCastUdfs = false;
+ Category commonTypeCategory = commonType.getCategory();
for (ExprNodeDesc desc: childExpr.subList(1, 4)) {
- if (commonType.equals(desc.getTypeInfo())) {
+ TypeInfo childTypeInfo = desc.getTypeInfo();
+ Category childCategory = childTypeInfo.getCategory();
+
+ if (childCategory != commonTypeCategory) {
+ return null;
+ }
+ final boolean isNeedsCast;
+ if (commonTypeCategory == Category.PRIMITIVE) {
+
+ // Do not to strict TypeInfo comparisons for DECIMAL -- just compare the category.
+ // Otherwise, we generate unnecessary casts.
+ isNeedsCast =
+ ((PrimitiveTypeInfo) commonType).getPrimitiveCategory() !=
+ ((PrimitiveTypeInfo) childTypeInfo).getPrimitiveCategory();
+ } else {
+ isNeedsCast = !commonType.equals(desc.getTypeInfo());
+ }
+
+ if (!isNeedsCast) {
castChildren.add(desc);
} else {
GenericUDF castUdf = getGenericUDFForCast(commonType);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/CastStringGroupToString.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/CastStringGroupToString.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/CastStringGroupToString.java
deleted file mode 100644
index 8232e67..0000000
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/CastStringGroupToString.java
+++ /dev/null
@@ -1,40 +0,0 @@
-/*
- * Licensed to the Apache Software Foundation (ASF) under one
- * or more contributor license agreements. See the NOTICE file
- * distributed with this work for additional information
- * regarding copyright ownership. The ASF licenses this file
- * to you under the Apache License, Version 2.0 (the
- * "License"); you may not use this file except in compliance
- * with the License. You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-package org.apache.hadoop.hive.ql.exec.vector.expressions;
-
-import org.apache.hadoop.hive.ql.exec.vector.BytesColumnVector;
-
-// cast string group to string (varchar to string, etc.)
-public class CastStringGroupToString extends StringUnaryUDFDirect {
-
- private static final long serialVersionUID = 1L;
-
- public CastStringGroupToString() {
- super();
- }
-
- public CastStringGroupToString(int inputColumn, int outputColumnNum) {
- super(inputColumn, outputColumnNum);
- }
-
- @Override
- protected void func(BytesColumnVector outV, byte[][] vector, int[] start, int[] length, int i) {
- outV.setVal(i, vector[i], start[i], length[i]);
- }
-}
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/VectorElt.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/VectorElt.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/VectorElt.java
index 00e529d..75e60eb 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/VectorElt.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/VectorElt.java
@@ -66,53 +66,157 @@ public class VectorElt extends VectorExpression {
outputVector.init();
- outputVector.noNulls = false;
outputVector.isRepeating = false;
+ final int limit = inputColumns.length;
LongColumnVector inputIndexVector = (LongColumnVector) batch.cols[inputColumns[0]];
+ boolean[] inputIndexIsNull = inputIndexVector.isNull;
long[] indexVector = inputIndexVector.vector;
if (inputIndexVector.isRepeating) {
- int index = (int)indexVector[0];
- if (index > 0 && index < inputColumns.length) {
- BytesColumnVector cv = (BytesColumnVector) batch.cols[inputColumns[index]];
- if (cv.isRepeating) {
- outputVector.setElement(0, 0, cv);
- outputVector.isRepeating = true;
- } else if (batch.selectedInUse) {
- for (int j = 0; j != n; j++) {
- int i = sel[j];
- outputVector.setVal(i, cv.vector[0], cv.start[0], cv.length[0]);
+ if (inputIndexVector.noNulls || !inputIndexIsNull[0]) {
+ int repeatedIndex = (int) indexVector[0];
+ if (repeatedIndex > 0 && repeatedIndex < limit) {
+ BytesColumnVector cv = (BytesColumnVector) batch.cols[inputColumns[repeatedIndex]];
+ if (cv.isRepeating) {
+ outputVector.isNull[0] = false;
+ outputVector.setElement(0, 0, cv);
+ outputVector.isRepeating = true;
+ } else if (cv.noNulls) {
+ if (batch.selectedInUse) {
+ for (int j = 0; j != n; j++) {
+ int i = sel[j];
+ outputVector.isNull[i] = false;
+ outputVector.setVal(i, cv.vector[i], cv.start[i], cv.length[i]);
+ }
+ } else {
+ for (int i = 0; i != n; i++) {
+ outputVector.isNull[i] = false;
+ outputVector.setVal(i, cv.vector[i], cv.start[i], cv.length[i]);
+ }
+ }
+ } else {
+ if (batch.selectedInUse) {
+ for (int j = 0; j != n; j++) {
+ int i = sel[j];
+ if (!cv.isNull[i]) {
+ outputVector.isNull[i] = false;
+ outputVector.setVal(i, cv.vector[i], cv.start[i], cv.length[i]);
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
+ }
+ } else {
+ for (int i = 0; i != n; i++) {
+ if (!cv.isNull[i]) {
+ outputVector.isNull[i] = false;
+ outputVector.setVal(i, cv.vector[i], cv.start[i], cv.length[i]);
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
+ }
+ }
}
} else {
- for (int i = 0; i != n; i++) {
- outputVector.setVal(i, cv.vector[0], cv.start[0], cv.length[0]);
- }
+ outputVector.isNull[0] = true;
+ outputVector.noNulls = false;
+ outputVector.isRepeating = true;
}
} else {
outputVector.isNull[0] = true;
+ outputVector.noNulls = false;
outputVector.isRepeating = true;
}
- } else if (batch.selectedInUse) {
- for (int j = 0; j != n; j++) {
- int i = sel[j];
- int index = (int)indexVector[i];
- if (index > 0 && index < inputColumns.length) {
- BytesColumnVector cv = (BytesColumnVector) batch.cols[inputColumns[index]];
- int cvi = cv.isRepeating ? 0 : i;
- outputVector.setVal(i, cv.vector[cvi], cv.start[cvi], cv.length[cvi]);
- } else {
- outputVector.isNull[i] = true;
+ return;
+ }
+
+ if (inputIndexVector.noNulls) {
+ if (batch.selectedInUse) {
+ for (int j = 0; j != n; j++) {
+ int i = sel[j];
+ int index = (int) indexVector[i];
+ if (index > 0 && index < limit) {
+ BytesColumnVector cv = (BytesColumnVector) batch.cols[inputColumns[index]];
+ int adjusted = cv.isRepeating ? 0 : i;
+ if (!cv.isNull[adjusted]) {
+ outputVector.isNull[i] = false;
+ outputVector.setVal(i, cv.vector[adjusted], cv.start[adjusted], cv.length[adjusted]);
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
+ }
+ } else {
+ for (int i = 0; i != n; i++) {
+ int index = (int) indexVector[i];
+ if (index > 0 && index < limit) {
+ BytesColumnVector cv = (BytesColumnVector) batch.cols[inputColumns[index]];
+ int adjusted = cv.isRepeating ? 0 : i;
+ if (!cv.isNull[adjusted]) {
+ outputVector.isNull[i] = false;
+ outputVector.setVal(i, cv.vector[adjusted], cv.start[adjusted], cv.length[adjusted]);
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
}
}
} else {
- for (int i = 0; i != n; i++) {
- int index = (int)indexVector[i];
- if (index > 0 && index < inputColumns.length) {
- BytesColumnVector cv = (BytesColumnVector) batch.cols[inputColumns[index]];
- int cvi = cv.isRepeating ? 0 : i;
- outputVector.setVal(i, cv.vector[cvi], cv.start[cvi], cv.length[cvi]);
- } else {
- outputVector.isNull[i] = true;
+ if (batch.selectedInUse) {
+ for (int j = 0; j != n; j++) {
+ int i = sel[j];
+ if (!inputIndexVector.isNull[i]) {
+ int index = (int) indexVector[i];
+ if (index > 0 && index < limit) {
+ BytesColumnVector cv = (BytesColumnVector) batch.cols[inputColumns[index]];
+ int adjusted = cv.isRepeating ? 0 : i;
+ if (cv.noNulls || !cv.isNull[adjusted]) {
+ outputVector.isNull[i] = false;
+ outputVector.setVal(i, cv.vector[adjusted], cv.start[adjusted], cv.length[adjusted]);
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
+ }
+ } else {
+ for (int i = 0; i != n; i++) {
+ if (!inputIndexVector.isNull[i]) {
+ int index = (int) indexVector[i];
+ if (index > 0 && index < limit) {
+ BytesColumnVector cv = (BytesColumnVector) batch.cols[inputColumns[index]];
+ int adjusted = cv.isRepeating ? 0 : i;
+ if (cv.noNulls || !cv.isNull[adjusted]) {
+ outputVector.isNull[i] = false;
+ outputVector.setVal(i, cv.vector[adjusted], cv.start[adjusted], cv.length[adjusted]);
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
+ } else {
+ outputVector.isNull[i] = true;
+ outputVector.noNulls = false;
+ }
}
}
}
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/VectorExpressionWriterFactory.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/VectorExpressionWriterFactory.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/VectorExpressionWriterFactory.java
index 6a87927..b78b97db 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/VectorExpressionWriterFactory.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/VectorExpressionWriterFactory.java
@@ -27,6 +27,7 @@ import java.util.Map;
import org.apache.commons.lang.ArrayUtils;
import org.apache.commons.lang.StringUtils;
+import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
import org.apache.hadoop.hive.common.type.HiveChar;
import org.apache.hadoop.hive.common.type.HiveDecimal;
import org.apache.hadoop.hive.common.type.HiveIntervalDayTime;
@@ -63,10 +64,12 @@ import org.apache.hadoop.hive.serde2.objectinspector.primitive.SettableTimestamp
import org.apache.hadoop.hive.serde2.objectinspector.primitive.SettableShortObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.SettableStringObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.primitive.VoidObjectInspector;
+import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.MapTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.StructTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
import org.apache.hadoop.hive.serde2.typeinfo.UnionTypeInfo;
import org.apache.hadoop.io.Text;
@@ -601,6 +604,24 @@ public final class VectorExpressionWriterFactory {
}
/**
+ * Compiles the appropriate vector expression writer based on an expression info (ExprNodeDesc)
+ */
+ public static VectorExpressionWriter genVectorExpressionWritable(VectorExpression vecExpr)
+ throws HiveException {
+ TypeInfo outputTypeInfo = vecExpr.getOutputTypeInfo();
+ DataTypePhysicalVariation outputDataTypePhysicalVariation =
+ vecExpr.getOutputDataTypePhysicalVariation();
+ if (outputTypeInfo instanceof DecimalTypeInfo &&
+ outputDataTypePhysicalVariation == DataTypePhysicalVariation.DECIMAL_64) {
+ outputTypeInfo = TypeInfoFactory.longTypeInfo;
+ }
+ ObjectInspector objectInspector =
+ TypeInfoUtils.getStandardWritableObjectInspectorFromTypeInfo(
+ outputTypeInfo);
+ return genVectorExpressionWritable(objectInspector);
+ }
+
+ /**
* Specialized writer for ListColumnVector. Will throw cast exception
* if the wrong vector column is used.
*/
@@ -1746,6 +1767,19 @@ public final class VectorExpressionWriterFactory {
}
/**
+ * Helper function to create an array of writers from a list of expression descriptors.
+ */
+ public static VectorExpressionWriter[] getExpressionWriters(VectorExpression[] vecExprs)
+ throws HiveException {
+ VectorExpressionWriter[] writers = new VectorExpressionWriter[vecExprs.length];
+ for(int i=0; i<writers.length; ++i) {
+ VectorExpression vecExpr = vecExprs[i];
+ writers[i] = genVectorExpressionWritable(vecExpr);
+ }
+ return writers;
+ }
+
+ /**
* A poor man Java closure. Works around the problem of having to return multiple objects
* from one function call.
*/
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java
index 9bb104d..a6a3417 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/physical/Vectorizer.java
@@ -3435,9 +3435,8 @@ public class Vectorizer implements PhysicalPlanResolver {
boolean outerJoinHasNoKeys = (!desc.isNoOuterJoin() && keyDesc.size() == 0);
- // For now, we don't support joins on or using DECIMAL_64.
- VectorExpression[] allBigTableKeyExpressions =
- vContext.getVectorExpressionsUpConvertDecimal64(keyDesc);
+ VectorExpression[] allBigTableKeyExpressions = vContext.getVectorExpressions(keyDesc);
+
final int allBigTableKeyExpressionsLength = allBigTableKeyExpressions.length;
boolean supportsKeyTypes = true; // Assume.
HashSet<String> notSupportedKeyTypes = new HashSet<String>();
@@ -3479,9 +3478,7 @@ public class Vectorizer implements PhysicalPlanResolver {
List<ExprNodeDesc> bigTableExprs = desc.getExprs().get(posBigTable);
- // For now, we don't support joins on or using DECIMAL_64.
- VectorExpression[] allBigTableValueExpressions =
- vContext.getVectorExpressionsUpConvertDecimal64(bigTableExprs);
+ VectorExpression[] allBigTableValueExpressions = vContext.getVectorExpressions(bigTableExprs);
boolean isFastHashTableEnabled =
HiveConf.getBoolVar(hiveConf,
@@ -4476,9 +4473,7 @@ public class Vectorizer implements PhysicalPlanResolver {
List<ExprNodeDesc> keysDesc = groupByDesc.getKeys();
- // For now, we don't support group by on DECIMAL_64 keys.
- VectorExpression[] vecKeyExpressions =
- vContext.getVectorExpressionsUpConvertDecimal64(keysDesc);
+ VectorExpression[] vecKeyExpressions = vContext.getVectorExpressions(keysDesc);
ArrayList<AggregationDesc> aggrDesc = groupByDesc.getAggregators();
final int size = aggrDesc.size();
@@ -5020,6 +5015,12 @@ public class Vectorizer implements PhysicalPlanResolver {
opClass = VectorMapJoinOuterFilteredOperator.class;
}
+ // Wrap any DECIMAL_64 expressions with Conversion.
+ vContext.wrapWithDecimal64ToDecimalConversions(
+ vectorMapJoinDesc.getAllBigTableKeyExpressions());
+ vContext.wrapWithDecimal64ToDecimalConversions(
+ vectorMapJoinDesc.getAllBigTableValueExpressions());
+
vectorOp = OperatorFactory.getVectorOperator(
opClass, op.getCompilationOpContext(), desc,
vContext, vectorMapJoinDesc);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorHashKeyWrapperBatch.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorHashKeyWrapperBatch.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorHashKeyWrapperBatch.java
index e349fbd..b2818ad 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorHashKeyWrapperBatch.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorHashKeyWrapperBatch.java
@@ -26,6 +26,7 @@ import static org.junit.Assert.assertTrue;
import java.sql.Timestamp;
import org.junit.Test;
+import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
import org.apache.hadoop.hive.ql.exec.vector.expressions.IdentityExpression;
import org.apache.hadoop.hive.ql.exec.vector.expressions.VectorExpression;
import org.apache.hadoop.hive.ql.exec.vector.util.FakeVectorRowBatchFromObjectIterables;
@@ -47,10 +48,13 @@ public class TestVectorHashKeyWrapperBatch {
new VectorExpression[] { new IdentityExpression(0) };
TypeInfo[] typeInfos =
new TypeInfo[] {TypeInfoFactory.timestampTypeInfo};
+ DataTypePhysicalVariation[] dataTypePhysicalVariations =
+ new DataTypePhysicalVariation[] {DataTypePhysicalVariation.NONE};
VectorHashKeyWrapperBatch vhkwb =
VectorHashKeyWrapperBatch.compileKeyWrapperBatch(
keyExpressions,
- typeInfos);
+ typeInfos,
+ dataTypePhysicalVariations);
VectorizedRowBatch batch = new VectorizedRowBatch(1);
batch.selectedInUse = false;
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorRowObject.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorRowObject.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorRowObject.java
index d1efaec..1f2b171 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorRowObject.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorRowObject.java
@@ -58,7 +58,8 @@ public class TestVectorRowObject extends TestCase {
VectorRandomRowSource source = new VectorRandomRowSource();
- source.init(r, VectorRandomRowSource.SupportedTypes.ALL, 4);
+ source.init(r, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ true, /* isUnicodeOk */ true);
VectorizedRowBatchCtx batchContext = new VectorizedRowBatchCtx();
batchContext.init(source.rowStructObjectInspector(), emptyScratchTypeNames);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorSerDeRow.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorSerDeRow.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorSerDeRow.java
index 83cdb2d..8b1b612 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorSerDeRow.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/TestVectorSerDeRow.java
@@ -21,12 +21,15 @@ package org.apache.hadoop.hive.ql.exec.vector;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Arrays;
+import java.util.List;
import java.util.Properties;
import java.util.Random;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hive.serde.serdeConstants;
import org.apache.hadoop.hive.serde2.SerDeException;
+import org.apache.hadoop.hive.common.type.HiveChar;
+import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.serde2.ByteStream.Output;
import org.apache.hadoop.hive.serde2.binarysortable.BinarySortableSerDe;
@@ -47,6 +50,9 @@ import org.apache.hadoop.hive.serde2.objectinspector.StructObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.UnionObject;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.fast.SerializeWrite;
+import org.apache.hadoop.hive.serde2.io.HiveCharWritable;
+import org.apache.hadoop.hive.serde2.io.HiveVarcharWritable;
+import org.apache.hadoop.io.Text;
import junit.framework.TestCase;
@@ -147,7 +153,10 @@ public class TestVectorSerDeRow extends TestCase {
VectorRandomRowSource source = new VectorRandomRowSource();
- source.init(r, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+ // FUTURE: try NULLs and UNICODE.
+ source.init(
+ r, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
VectorizedRowBatchCtx batchContext = new VectorizedRowBatchCtx();
batchContext.init(source.rowStructObjectInspector(), emptyScratchTypeNames);
@@ -206,8 +215,100 @@ public class TestVectorSerDeRow extends TestCase {
}
}
+ private String getDifferenceInfo(Object actualRow, Object expectedRow) {
+ if (actualRow instanceof List && expectedRow instanceof List) {
+ List<Object> actualList = (List) actualRow;
+ final int actualSize = actualList.size();
+ List<Object> expectedList = (List) expectedRow;
+ final int expectedSize = expectedList.size();
+ if (actualSize != expectedSize) {
+ return "Actual size " + actualSize + ", expected size " + expectedSize;
+ }
+ for (int i = 0; i < actualSize; i++) {
+ Object actualObject = actualList.get(i);
+ Object expecedObject = expectedList.get(i);
+ if (!actualObject.equals(expecedObject)) {
+ return "Column " + i + " is different";
+ }
+ }
+ } else {
+ if (!actualRow.equals(expectedRow)) {
+ return "Object is different";
+ }
+ }
+ return "Actual and expected row are the same";
+ }
+
+ private String getObjectDisplayString(Object object) {
+ StringBuilder sb = new StringBuilder();
+
+ if (object == null) {
+ sb.append("NULL");
+ } else if (object instanceof Text ||
+ object instanceof HiveChar || object instanceof HiveCharWritable ||
+ object instanceof HiveVarchar || object instanceof HiveVarcharWritable) {
+ final String string;
+ if (object instanceof Text) {
+ Text text = (Text) object;
+ string = text.toString();
+ } else if (object instanceof HiveChar) {
+ HiveChar hiveChar = (HiveChar) object;
+ string = hiveChar.getStrippedValue();
+ } else if (object instanceof HiveCharWritable) {
+ HiveChar hiveChar = ((HiveCharWritable) object).getHiveChar();
+ string = hiveChar.getStrippedValue();
+ } else if (object instanceof HiveVarchar) {
+ HiveVarchar hiveVarchar = (HiveVarchar) object;
+ string = hiveVarchar.getValue();
+ } else if (object instanceof HiveVarcharWritable) {
+ HiveVarchar hiveVarchar = ((HiveVarcharWritable) object).getHiveVarchar();
+ string = hiveVarchar.getValue();
+ } else {
+ throw new RuntimeException("Unexpected");
+ }
+
+ byte[] bytes = string.getBytes();
+ final int byteLength = bytes.length;
+
+ sb.append("'");
+ sb.append(string);
+ sb.append("' (byte length ");
+ sb.append(bytes.length);
+ sb.append(", string length ");
+ sb.append(string.length());
+ sb.append(", bytes ");
+ sb.append(VectorizedBatchUtil.displayBytes(bytes, 0, byteLength));
+ sb.append(")");
+ } else {
+ sb.append(object.toString());
+ }
+ return sb.toString();
+ }
+
+ private String getRowDisplayString(Object row) {
+ StringBuilder sb = new StringBuilder();
+ if (row instanceof List) {
+ List<Object> list = (List) row;
+ final int size = list.size();
+ boolean isFirst = true;
+ for (int i = 0; i < size; i++) {
+ if (isFirst) {
+ isFirst = false;
+ } else {
+ sb.append(", ");
+ }
+ Object object = list.get(i);
+ sb.append(getObjectDisplayString(object));
+ }
+ } else {
+ sb.append(getObjectDisplayString(row));
+ }
+ return sb.toString();
+ }
+
void examineBatch(VectorizedRowBatch batch, VectorExtractRow vectorExtractRow,
- TypeInfo[] typeInfos, Object[][] randomRows, int firstRandomRowIndex ) {
+ TypeInfo[] typeInfos, Object[][] randomRows, int firstRandomRowIndex,
+ String title) {
int rowSize = vectorExtractRow.getCount();
Object[] row = new Object[rowSize];
@@ -228,9 +329,15 @@ public class TestVectorSerDeRow extends TestCase {
" batch index " + i + " firstRandomRowIndex " + firstRandomRowIndex);
}
if (!rowObj.equals(expectedObj)) {
+ String actualValueString = getRowDisplayString(rowObj);
+ String expectedValueString = getRowDisplayString(expectedObj);
+ String differentInfoString = getDifferenceInfo(row, expectedObj);
fail("Row " + (firstRandomRowIndex + i) + " and column " + c + " mismatch (" +
- typeInfos[c].getCategory() + " actual value " + rowObj +
- " and expected value " + expectedObj + ")");
+ typeInfos[c].getCategory() + " actual value '" + actualValueString + "'" +
+ " and expected value '" + expectedValueString + "')" +
+ " difference info " + differentInfoString +
+ " typeInfos " + Arrays.toString(typeInfos) +
+ " title " + title);
}
}
}
@@ -283,19 +390,27 @@ public class TestVectorSerDeRow extends TestCase {
throws HiveException, IOException, SerDeException {
for (int i = 0; i < 20; i++) {
- innerTestVectorDeserializeRow(r, serializationType, alternate1, alternate2, useExternalBuffer);
+ innerTestVectorDeserializeRow(
+ r, i,serializationType, alternate1, alternate2, useExternalBuffer);
}
}
void innerTestVectorDeserializeRow(
- Random r, SerializationType serializationType,
+ Random r, int iteration,
+ SerializationType serializationType,
boolean alternate1, boolean alternate2, boolean useExternalBuffer)
throws HiveException, IOException, SerDeException {
+ String title = "serializationType: " + serializationType + ", iteration " + iteration;
+
String[] emptyScratchTypeNames = new String[0];
VectorRandomRowSource source = new VectorRandomRowSource();
- source.init(r, VectorRandomRowSource.SupportedTypes.ALL, 4, false);
+
+ // FUTURE: try NULLs and UNICODE.
+ source.init(
+ r, VectorRandomRowSource.SupportedTypes.ALL, 4,
+ /* allowNulls */ false, /* isUnicodeOk */ false);
VectorizedRowBatchCtx batchContext = new VectorizedRowBatchCtx();
batchContext.init(source.rowStructObjectInspector(), emptyScratchTypeNames);
@@ -426,13 +541,17 @@ public class TestVectorSerDeRow extends TestCase {
}
batch.size++;
if (batch.size == batch.DEFAULT_SIZE) {
- examineBatch(batch, vectorExtractRow, typeInfos, randomRows, firstRandomRowIndex);
+ examineBatch(
+ batch, vectorExtractRow, typeInfos, randomRows, firstRandomRowIndex,
+ title);
firstRandomRowIndex = i + 1;
batch.reset();
}
}
if (batch.size > 0) {
- examineBatch(batch, vectorExtractRow, typeInfos, randomRows, firstRandomRowIndex);
+ examineBatch(
+ batch, vectorExtractRow, typeInfos, randomRows, firstRandomRowIndex,
+ title);
}
}
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/VectorRandomRowSource.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/VectorRandomRowSource.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/VectorRandomRowSource.java
index af73ee6..b84273a 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/VectorRandomRowSource.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/VectorRandomRowSource.java
@@ -129,6 +129,7 @@ public class VectorRandomRowSource {
private String[] alphabets;
private boolean allowNull;
+ private boolean isUnicodeOk;
private boolean addEscapables;
private String needsEscapeStr;
@@ -289,26 +290,28 @@ public class VectorRandomRowSource {
ALL, PRIMITIVES, ALL_EXCEPT_MAP
}
- public void init(Random r, SupportedTypes supportedTypes, int maxComplexDepth) {
- init(r, supportedTypes, maxComplexDepth, true);
- }
-
- public void init(Random r, SupportedTypes supportedTypes, int maxComplexDepth, boolean allowNull) {
+ public void init(Random r, SupportedTypes supportedTypes, int maxComplexDepth, boolean allowNull,
+ boolean isUnicodeOk) {
this.r = r;
this.allowNull = allowNull;
+ this.isUnicodeOk = isUnicodeOk;
chooseSchema(supportedTypes, null, null, null, maxComplexDepth);
}
- public void init(Random r, Set<String> allowedTypeNameSet, int maxComplexDepth, boolean allowNull) {
+ public void init(Random r, Set<String> allowedTypeNameSet, int maxComplexDepth, boolean allowNull,
+ boolean isUnicodeOk) {
this.r = r;
this.allowNull = allowNull;
+ this.isUnicodeOk = isUnicodeOk;
chooseSchema(SupportedTypes.ALL, allowedTypeNameSet, null, null, maxComplexDepth);
}
public void initExplicitSchema(Random r, List<String> explicitTypeNameList, int maxComplexDepth,
- boolean allowNull, List<DataTypePhysicalVariation> explicitDataTypePhysicalVariationList) {
+ boolean allowNull, boolean isUnicodeOk,
+ List<DataTypePhysicalVariation> explicitDataTypePhysicalVariationList) {
this.r = r;
this.allowNull = allowNull;
+ this.isUnicodeOk = isUnicodeOk;
List<GenerationSpec> generationSpecList = new ArrayList<GenerationSpec>();
for (String explicitTypeName : explicitTypeNameList) {
@@ -324,9 +327,11 @@ public class VectorRandomRowSource {
}
public void initGenerationSpecSchema(Random r, List<GenerationSpec> generationSpecList, int maxComplexDepth,
- boolean allowNull, List<DataTypePhysicalVariation> explicitDataTypePhysicalVariationList) {
+ boolean allowNull, boolean isUnicodeOk,
+ List<DataTypePhysicalVariation> explicitDataTypePhysicalVariationList) {
this.r = r;
this.allowNull = allowNull;
+ this.isUnicodeOk = isUnicodeOk;
chooseSchema(
SupportedTypes.ALL, null, generationSpecList, explicitDataTypePhysicalVariationList,
maxComplexDepth);
@@ -1009,9 +1014,19 @@ public class VectorRandomRowSource {
PrimitiveTypeInfo[] primitiveTypeInfos,
DataTypePhysicalVariation[] dataTypePhysicalVariations) {
+ return randomPrimitiveRow(
+ columnCount, r, primitiveTypeInfos, dataTypePhysicalVariations, false);
+ }
+
+ public static Object[] randomPrimitiveRow(int columnCount, Random r,
+ PrimitiveTypeInfo[] primitiveTypeInfos,
+ DataTypePhysicalVariation[] dataTypePhysicalVariations, boolean isUnicodeOk) {
+
final Object row[] = new Object[columnCount];
for (int c = 0; c < columnCount; c++) {
- row[c] = randomPrimitiveObject(r, primitiveTypeInfos[c], dataTypePhysicalVariations[c]);
+ row[c] =
+ randomPrimitiveObject(
+ r, primitiveTypeInfos[c], dataTypePhysicalVariations[c], isUnicodeOk);
}
return row;
}
@@ -1624,11 +1639,11 @@ public class VectorRandomRowSource {
}
public static Object randomPrimitiveObject(Random r, PrimitiveTypeInfo primitiveTypeInfo) {
- return randomPrimitiveObject(r, primitiveTypeInfo, DataTypePhysicalVariation.NONE);
+ return randomPrimitiveObject(r, primitiveTypeInfo, DataTypePhysicalVariation.NONE, false);
}
public static Object randomPrimitiveObject(Random r, PrimitiveTypeInfo primitiveTypeInfo,
- DataTypePhysicalVariation dataTypePhysicalVariation) {
+ DataTypePhysicalVariation dataTypePhysicalVariation, boolean isUnicodeOk) {
switch (primitiveTypeInfo.getPrimitiveCategory()) {
case BOOLEAN:
@@ -1648,11 +1663,11 @@ public class VectorRandomRowSource {
case DOUBLE:
return Double.valueOf(r.nextDouble() * 10 - 5);
case STRING:
- return RandomTypeUtil.getRandString(r);
+ return getRandString(r, isUnicodeOk);
case CHAR:
- return getRandHiveChar(r, (CharTypeInfo) primitiveTypeInfo);
+ return getRandHiveChar(r, (CharTypeInfo) primitiveTypeInfo, isUnicodeOk);
case VARCHAR:
- return getRandHiveVarchar(r, (VarcharTypeInfo) primitiveTypeInfo);
+ return getRandHiveVarchar(r, (VarcharTypeInfo) primitiveTypeInfo, isUnicodeOk);
case BINARY:
return getRandBinary(r, 1 + r.nextInt(100));
case TIMESTAMP:
@@ -1682,22 +1697,30 @@ public class VectorRandomRowSource {
return RandomTypeUtil.getRandTimestamp(r).toString();
}
- public static HiveChar getRandHiveChar(Random r, CharTypeInfo charTypeInfo) {
+ public static String getRandString(Random r, boolean isUnicodeOk) {
+ return getRandString(r, r.nextInt(10), isUnicodeOk);
+ }
+
+ public static String getRandString(Random r, int length, boolean isUnicodeOk) {
+ return
+ !isUnicodeOk || r.nextBoolean() ?
+ RandomTypeUtil.getRandString(r, "abcdefghijklmnopqrstuvwxyz", length) :
+ RandomTypeUtil.getRandUnicodeString(r, length);
+ }
+
+ public static HiveChar getRandHiveChar(Random r, CharTypeInfo charTypeInfo, boolean isUnicodeOk) {
final int maxLength = 1 + r.nextInt(charTypeInfo.getLength());
- final String randomString = RandomTypeUtil.getRandString(r, "abcdefghijklmnopqrstuvwxyz", 100);
+ final String randomString = getRandString(r, 100, isUnicodeOk);
return new HiveChar(randomString, maxLength);
}
- public static HiveVarchar getRandHiveVarchar(Random r, VarcharTypeInfo varcharTypeInfo, String alphabet) {
+ public static HiveVarchar getRandHiveVarchar(Random r, VarcharTypeInfo varcharTypeInfo,
+ boolean isUnicodeOk) {
final int maxLength = 1 + r.nextInt(varcharTypeInfo.getLength());
- final String randomString = RandomTypeUtil.getRandString(r, alphabet, 100);
+ final String randomString = getRandString(r, 100, isUnicodeOk);
return new HiveVarchar(randomString, maxLength);
}
- public static HiveVarchar getRandHiveVarchar(Random r, VarcharTypeInfo varcharTypeInfo) {
- return getRandHiveVarchar(r, varcharTypeInfo, "abcdefghijklmnopqrstuvwxyz");
- }
-
public static byte[] getRandBinary(Random r, int len){
final byte[] bytes = new byte[len];
for (int j = 0; j < len; j++){
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/VectorVerifyFast.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/VectorVerifyFast.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/VectorVerifyFast.java
index 458aae8..a0ba0e1 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/VectorVerifyFast.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/VectorVerifyFast.java
@@ -364,9 +364,9 @@ public class VectorVerifyFast {
case STRING:
{
Text value = (Text) object;
- byte[] stringBytes = value.getBytes();
- int stringLength = stringBytes.length;
- serializeWrite.writeString(stringBytes, 0, stringLength);
+ byte[] bytes = value.getBytes();
+ int byteLength = value.getLength();
+ serializeWrite.writeString(bytes, 0, byteLength);
}
break;
case CHAR:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/aggregation/TestVectorAggregation.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/aggregation/TestVectorAggregation.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/aggregation/TestVectorAggregation.java
index d4ed6b5..211eaa2 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/aggregation/TestVectorAggregation.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/aggregation/TestVectorAggregation.java
@@ -369,7 +369,8 @@ public class TestVectorAggregation extends AggregationBase {
VectorRandomRowSource mergeRowSource = new VectorRandomRowSource();
mergeRowSource.initGenerationSpecSchema(
- random, mergeAggrGenerationSpecList, /* maxComplexDepth */ 0, /* allowNull */ false,
+ random, mergeAggrGenerationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ false, /* isUnicodeOk */ true,
mergeDataTypePhysicalVariationList);
Object[][] mergeRandomRows = mergeRowSource.randomRows(TEST_ROW_COUNT);
@@ -508,7 +509,8 @@ public class TestVectorAggregation extends AggregationBase {
boolean allowNull = !aggregationName.equals("bloom_filter");
partial1RowSource.initGenerationSpecSchema(
- random, dataAggrGenerationSpecList, /* maxComplexDepth */ 0, allowNull,
+ random, dataAggrGenerationSpecList, /* maxComplexDepth */ 0,
+ allowNull, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
Object[][] partial1RandomRows = partial1RowSource.randomRows(TEST_ROW_COUNT);
@@ -604,7 +606,8 @@ public class TestVectorAggregation extends AggregationBase {
VectorRandomRowSource completeRowSource = new VectorRandomRowSource();
completeRowSource.initGenerationSpecSchema(
- random, dataAggrGenerationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, dataAggrGenerationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
Object[][] completeRandomRows = completeRowSource.randomRows(TEST_ROW_COUNT);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorArithmetic.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorArithmetic.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorArithmetic.java
index 1b61071..1329d79 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorArithmetic.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorArithmetic.java
@@ -26,9 +26,7 @@ import java.util.List;
import java.util.Random;
import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
-import org.apache.hadoop.hive.common.type.HiveChar;
import org.apache.hadoop.hive.common.type.HiveDecimal;
-import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorFactory;
@@ -59,25 +57,16 @@ import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPMinus;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPMod;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPMultiply;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFOPPlus;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDF.DeferredJavaObject;
-import org.apache.hadoop.hive.ql.udf.generic.GenericUDF.DeferredObject;
-import org.apache.hadoop.hive.serde2.io.HiveCharWritable;
import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
-import org.apache.hadoop.hive.serde2.io.HiveVarcharWritable;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.ObjectInspectorCopyOption;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
-import org.apache.hadoop.hive.serde2.typeinfo.CharTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
-import org.apache.hadoop.hive.serde2.typeinfo.VarcharTypeInfo;
-import org.apache.hadoop.hive.serde2.io.ShortWritable;
-import org.apache.hadoop.io.IntWritable;
-import org.apache.hadoop.io.LongWritable;
import junit.framework.Assert;
@@ -437,7 +426,8 @@ public class TestVectorArithmetic {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
Object[][] randomRows = rowSource.randomRows(100000);
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorBetweenIn.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorBetweenIn.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorBetweenIn.java
index 5b69bdf..16bb445 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorBetweenIn.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorBetweenIn.java
@@ -453,7 +453,8 @@ public class TestVectorBetweenIn {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
List<String> columns = new ArrayList<String>();
@@ -575,7 +576,8 @@ public class TestVectorBetweenIn {
VectorRandomRowSource structRowSource = new VectorRandomRowSource();
structRowSource.initGenerationSpecSchema(
- random, structGenerationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, structGenerationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
structExplicitDataTypePhysicalVariationList);
Object[][] structRandomRows = structRowSource.randomRows(100000);
@@ -597,7 +599,8 @@ public class TestVectorBetweenIn {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
Object[][] randomRows = rowSource.randomRows(100000);
@@ -729,7 +732,7 @@ public class TestVectorBetweenIn {
continue;
}
case VECTOR_EXPRESSION:
- if (!doVectorCastTest(
+ if (!doVectorBetweenInTest(
typeInfo,
betweenInVariation,
compareList,
@@ -866,7 +869,7 @@ public class TestVectorBetweenIn {
}
}
- private boolean doVectorCastTest(TypeInfo typeInfo,
+ private boolean doVectorBetweenInTest(TypeInfo typeInfo,
BetweenInVariation betweenInVariation, List<Object> compareList,
List<String> columns, String[] columnNames,
TypeInfo[] typeInfos, DataTypePhysicalVariation[] dataTypePhysicalVariations,
@@ -899,13 +902,24 @@ public class TestVectorBetweenIn {
VectorExpressionDescriptor.Mode.PROJECTION));
vectorExpression.transientInit();
- if (betweenInTestMode == BetweenInTestMode.VECTOR_EXPRESSION &&
- vectorExpression instanceof VectorUDFAdaptor) {
- System.out.println(
- "*NO NATIVE VECTOR EXPRESSION* typeInfo " + typeInfo.toString() +
- " betweenInTestMode " + betweenInTestMode +
- " betweenInVariation " + betweenInVariation +
- " vectorExpression " + vectorExpression.toString());
+ if (betweenInTestMode == BetweenInTestMode.VECTOR_EXPRESSION) {
+ String vecExprString = vectorExpression.toString();
+ if (vectorExpression instanceof VectorUDFAdaptor) {
+ System.out.println(
+ "*NO NATIVE VECTOR EXPRESSION* typeInfo " + typeInfo.toString() +
+ " betweenInTestMode " + betweenInTestMode +
+ " betweenInVariation " + betweenInVariation +
+ " vectorExpression " + vecExprString);
+ } else if (dataTypePhysicalVariations[0] == DataTypePhysicalVariation.DECIMAL_64) {
+ final String nameToCheck = vectorExpression.getClass().getSimpleName();
+ if (!nameToCheck.contains("Decimal64")) {
+ System.out.println(
+ "*EXPECTED DECIMAL_64 VECTOR EXPRESSION* typeInfo " + typeInfo.toString() +
+ " betweenInTestMode " + betweenInTestMode +
+ " betweenInVariation " + betweenInVariation +
+ " vectorExpression " + vecExprString);
+ }
+ }
}
// System.out.println("*VECTOR EXPRESSION* " + vectorExpression.getClass().getSimpleName());
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorCastStatement.java
----------------------------------------------------------------------
diff --git a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorCastStatement.java b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorCastStatement.java
index cc1415a..8a68506 100644
--- a/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorCastStatement.java
+++ b/ql/src/test/org/apache/hadoop/hive/ql/exec/vector/expressions/TestVectorCastStatement.java
@@ -24,8 +24,6 @@ import java.util.List;
import java.util.Random;
import org.apache.hadoop.hive.common.type.DataTypePhysicalVariation;
-import org.apache.hadoop.hive.common.type.HiveChar;
-import org.apache.hadoop.hive.common.type.HiveVarchar;
import org.apache.hadoop.hive.conf.HiveConf;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluator;
import org.apache.hadoop.hive.ql.exec.ExprNodeEvaluatorFactory;
@@ -48,23 +46,17 @@ import org.apache.hadoop.hive.ql.plan.ExprNodeGenericFuncDesc;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDF;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFIf;
import org.apache.hadoop.hive.ql.udf.generic.GenericUDFWhen;
-import org.apache.hadoop.hive.serde2.io.DoubleWritable;
-import org.apache.hadoop.hive.serde2.io.HiveCharWritable;
import org.apache.hadoop.hive.serde2.io.HiveDecimalWritable;
-import org.apache.hadoop.hive.serde2.io.HiveVarcharWritable;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils;
import org.apache.hadoop.hive.serde2.objectinspector.ObjectInspectorUtils.ObjectInspectorCopyOption;
import org.apache.hadoop.hive.serde2.objectinspector.PrimitiveObjectInspector.PrimitiveCategory;
-import org.apache.hadoop.hive.serde2.typeinfo.CharTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.DecimalTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.PrimitiveTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoFactory;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
-import org.apache.hadoop.hive.serde2.typeinfo.VarcharTypeInfo;
import org.apache.hadoop.io.LongWritable;
-import org.apache.hadoop.io.Text;
import junit.framework.Assert;
@@ -286,7 +278,8 @@ public class TestVectorCastStatement {
VectorRandomRowSource rowSource = new VectorRandomRowSource();
rowSource.initGenerationSpecSchema(
- random, generationSpecList, /* maxComplexDepth */ 0, /* allowNull */ true,
+ random, generationSpecList, /* maxComplexDepth */ 0,
+ /* allowNull */ true, /* isUnicodeOk */ true,
explicitDataTypePhysicalVariationList);
List<String> columns = new ArrayList<String>();
[27/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query49.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query49.q.out b/ql/src/test/results/clientpositive/perf/spark/query49.q.out
index 16cc603..e10a925 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query49.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query49.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
'web' as channel
,web.item
@@ -124,7 +124,7 @@ select
order by 1,4,5
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
'web' as channel
,web.item
@@ -250,6 +250,10 @@ select
order by 1,4,5
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -284,140 +288,306 @@ STAGE PLANS:
alias: ws
filterExpr: ((ws_net_profit > 1) and (ws_net_paid > 0) and (ws_quantity > 0) and ws_order_number is not null and ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColGreaterDecimal64Scalar(col 33:decimal(7,2)/DECIMAL_64, val 100), FilterDecimal64ColGreaterDecimal64Scalar(col 29:decimal(7,2)/DECIMAL_64, val 0), FilterLongColGreaterLongScalar(col 18:int, val 0), SelectColumnIsNotNull(col 17:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: ((ws_net_paid > 0) and (ws_net_profit > 1) and (ws_quantity > 0) and ws_item_sk is not null and ws_order_number is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 5333432 Data size: 725192506 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_order_number (type: int), ws_quantity (type: int), ws_net_paid (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 17, 18, 29]
Statistics: Num rows: 5333432 Data size: 725192506 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 5333432 Data size: 725192506 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2000) and (d_moy = 12) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterLongColEqualLongScalar(col 8:int, val 12), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 12) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: wr
filterExpr: ((wr_return_amt > 10000) and wr_order_number is not null and wr_item_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColGreaterDecimal64Scalar(col 15:decimal(7,2)/DECIMAL_64, val 1000000), SelectColumnIsNotNull(col 13:int), SelectColumnIsNotNull(col 2:int))
predicate: ((wr_return_amt > 10000) and wr_item_sk is not null and wr_order_number is not null) (type: boolean)
Statistics: Num rows: 4799489 Data size: 441731394 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wr_item_sk (type: int), wr_order_number (type: int), wr_return_quantity (type: int), wr_return_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 13, 14, 15]
Statistics: Num rows: 4799489 Data size: 441731394 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 4799489 Data size: 441731394 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: cs
filterExpr: ((cs_net_profit > 1) and (cs_net_paid > 0) and (cs_quantity > 0) and cs_order_number is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColGreaterDecimal64Scalar(col 33:decimal(7,2)/DECIMAL_64, val 100), FilterDecimal64ColGreaterDecimal64Scalar(col 29:decimal(7,2)/DECIMAL_64, val 0), FilterLongColGreaterLongScalar(col 18:int, val 0), SelectColumnIsNotNull(col 17:int), SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: ((cs_net_paid > 0) and (cs_net_profit > 1) and (cs_quantity > 0) and cs_item_sk is not null and cs_order_number is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 10666290 Data size: 1444429931 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_order_number (type: int), cs_quantity (type: int), cs_net_paid (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 15, 17, 18, 29]
Statistics: Num rows: 10666290 Data size: 1444429931 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 10666290 Data size: 1444429931 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: cr
filterExpr: ((cr_return_amount > 10000) and cr_order_number is not null and cr_item_sk is not null) (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColGreaterDecimal64Scalar(col 18:decimal(7,2)/DECIMAL_64, val 1000000), SelectColumnIsNotNull(col 16:int), SelectColumnIsNotNull(col 2:int))
predicate: ((cr_return_amount > 10000) and cr_item_sk is not null and cr_order_number is not null) (type: boolean)
Statistics: Num rows: 9599627 Data size: 1019078226 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_item_sk (type: int), cr_order_number (type: int), cr_return_quantity (type: int), cr_return_amount (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 16, 17, 18]
Statistics: Num rows: 9599627 Data size: 1019078226 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 9599627 Data size: 1019078226 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: sts
filterExpr: ((ss_net_profit > 1) and (ss_net_paid > 0) and (ss_quantity > 0) and ss_ticket_number is not null and ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColGreaterDecimal64Scalar(col 22:decimal(7,2)/DECIMAL_64, val 100), FilterDecimal64ColGreaterDecimal64Scalar(col 20:decimal(7,2)/DECIMAL_64, val 0), FilterLongColGreaterLongScalar(col 10:int, val 0), SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: ((ss_net_paid > 0) and (ss_net_profit > 1) and (ss_quantity > 0) and ss_item_sk is not null and ss_sold_date_sk is not null and ss_ticket_number is not null) (type: boolean)
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ticket_number (type: int), ss_quantity (type: int), ss_net_paid (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 9, 10, 20]
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 21333171 Data size: 1882018537 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 27
Map Operator Tree:
TableScan
alias: sr
filterExpr: ((sr_return_amt > 10000) and sr_ticket_number is not null and sr_item_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColGreaterDecimal64Scalar(col 11:decimal(7,2)/DECIMAL_64, val 1000000), SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 2:int))
predicate: ((sr_return_amt > 10000) and sr_item_sk is not null and sr_ticket_number is not null) (type: boolean)
Statistics: Num rows: 19197050 Data size: 1487398277 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_item_sk (type: int), sr_ticket_number (type: int), sr_return_quantity (type: int), sr_return_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 9, 10, 11]
Statistics: Num rows: 19197050 Data size: 1487398277 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 19197050 Data size: 1487398277 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 13
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -434,6 +604,11 @@ STAGE PLANS:
Statistics: Num rows: 11732919 Data size: 1588872958 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -461,9 +636,23 @@ STAGE PLANS:
value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
Reducer 15
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 1:bigint) -> bigint, VectorUDAFSumLong(col 2:bigint) -> bigint, VectorUDAFSumDecimal(col 3:decimal(22,2)) -> decimal(22,2), VectorUDAFSumDecimal(col 4:decimal(22,2)) -> decimal(22,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -472,14 +661,29 @@ STAGE PLANS:
key expressions: 0 (type: int), (CAST( _col1 AS decimal(15,4)) / CAST( _col2 AS decimal(15,4))) (type: decimal(35,20))
sort order: ++
Map-reduce partition columns: 0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyExpressions: ConstantVectorExpression(val 0) -> 5:int, DecimalColDivideDecimalColumn(col 6:decimal(15,4), col 7:decimal(15,4))(children: CastLongToDecimal(col 1:bigint) -> 6:decimal(15,4), CastLongToDecimal(col 2:bigint) -> 7:decimal(15,4)) -> 8:decimal(35,20)
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 6453105 Data size: 873880077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
Reducer 16
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint), VALUE._col3 (type: decimal(22,2)), VALUE._col4 (type: decimal(22,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 4, 5, 6]
Statistics: Num rows: 6453105 Data size: 873880077 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -501,23 +705,50 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [DecimalColDivideDecimalColumn(col 9:decimal(15,4), col 10:decimal(15,4))(children: CastLongToDecimal(col 3:bigint) -> 9:decimal(15,4), CastLongToDecimal(col 4:bigint) -> 10:decimal(15,4)) -> 12:decimal(35,20)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [DecimalColDivideDecimalColumn(col 9:decimal(15,4), col 10:decimal(15,4))(children: CastLongToDecimal(col 3:bigint) -> 9:decimal(15,4), CastLongToDecimal(col 4:bigint) -> 10:decimal(15,4)) -> 11:decimal(35,20)]
+ partitionExpressions: [ConstantVectorExpression(val 0) -> 8:int]
Statistics: Num rows: 6453105 Data size: 873880077 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: rank_window_0 (type: int), _col0 (type: int), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
outputColumnNames: rank_window_0, _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [7, 2, 3, 4, 5, 6]
Statistics: Num rows: 6453105 Data size: 873880077 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: 0 (type: int), (CAST( _col3 AS decimal(15,4)) / CAST( _col4 AS decimal(15,4))) (type: decimal(35,20))
sort order: ++
Map-reduce partition columns: 0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyExpressions: ConstantVectorExpression(val 0) -> 13:int, DecimalColDivideDecimalColumn(col 9:decimal(15,4), col 10:decimal(15,4))(children: CastDecimalToDecimal(col 5:decimal(22,2)) -> 9:decimal(15,4), CastDecimalToDecimal(col 6:decimal(22,2)) -> 10:decimal(15,4)) -> 14:decimal(35,20)
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 6453105 Data size: 873880077 Basic stats: COMPLETE Column stats: NONE
value expressions: rank_window_0 (type: int), _col0 (type: int), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
Reducer 17
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: bigint), VALUE._col3 (type: bigint), VALUE._col4 (type: decimal(22,2)), VALUE._col5 (type: decimal(22,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 4, 5, 6, 7]
Statistics: Num rows: 6453105 Data size: 873880077 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -538,15 +769,39 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [DecimalColDivideDecimalColumn(col 10:decimal(15,4), col 11:decimal(15,4))(children: CastDecimalToDecimal(col 6:decimal(22,2)) -> 10:decimal(15,4), CastDecimalToDecimal(col 7:decimal(22,2)) -> 11:decimal(15,4)) -> 13:decimal(35,20)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [DecimalColDivideDecimalColumn(col 10:decimal(15,4), col 11:decimal(15,4))(children: CastDecimalToDecimal(col 6:decimal(22,2)) -> 10:decimal(15,4), CastDecimalToDecimal(col 7:decimal(22,2)) -> 11:decimal(15,4)) -> 12:decimal(35,20)]
+ partitionExpressions: [ConstantVectorExpression(val 0) -> 9:int]
Statistics: Num rows: 6453105 Data size: 873880077 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterLongColLessEqualLongScalar(col 2:int, val 10), FilterLongColLessEqualLongScalar(col 8:int, val 10))
predicate: ((_col0 <= 10) or (rank_window_1 <= 10)) (type: boolean)
Statistics: Num rows: 4302070 Data size: 582586718 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: 'catalog' (type: string), _col1 (type: int), (CAST( _col2 AS decimal(15,4)) / CAST( _col3 AS decimal(15,4))) (type: decimal(35,20)), _col0 (type: int), rank_window_1 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [14, 3, 15, 2, 8]
+ selectExpressions: ConstantVectorExpression(val catalog) -> 14:string, DecimalColDivideDecimalColumn(col 10:decimal(15,4), col 11:decimal(15,4))(children: CastLongToDecimal(col 4:bigint) -> 10:decimal(15,4), CastLongToDecimal(col 5:bigint) -> 11:decimal(15,4)) -> 15:decimal(35,20)
Statistics: Num rows: 4302070 Data size: 582586718 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 14:string, col 2:int, col 8:int, col 3:int, col 15:decimal(35,20)
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: string), _col3 (type: int), _col4 (type: int), _col1 (type: int), _col2 (type: decimal(35,20))
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -555,8 +810,17 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(35,20))
sort order: +++++
Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(35,20))
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 6453220 Data size: 875080950 Basic stats: COMPLETE Column stats: NONE
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -573,6 +837,11 @@ STAGE PLANS:
Statistics: Num rows: 5866775 Data size: 797711773 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 21
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -589,6 +858,11 @@ STAGE PLANS:
Statistics: Num rows: 23466488 Data size: 2070220435 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -616,9 +890,23 @@ STAGE PLANS:
value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
Reducer 23
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 1:bigint) -> bigint, VectorUDAFSumLong(col 2:bigint) -> bigint, VectorUDAFSumDecimal(col 3:decimal(22,2)) -> decimal(22,2), VectorUDAFSumDecimal(col 4:decimal(22,2)) -> decimal(22,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -627,14 +915,29 @@ STAGE PLANS:
key expressions: 0 (type: int), (CAST( _col1 AS decimal(15,4)) / CAST( _col2 AS decimal(15,4))) (type: decimal(35,20))
sort order: ++
Map-reduce partition columns: 0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyExpressions: ConstantVectorExpression(val 0) -> 5:int, DecimalColDivideDecimalColumn(col 6:decimal(15,4), col 7:decimal(15,4))(children: CastLongToDecimal(col 1:bigint) -> 6:decimal(15,4), CastLongToDecimal(col 2:bigint) -> 7:decimal(15,4)) -> 8:decimal(35,20)
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 12906568 Data size: 1138621219 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
Reducer 24
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint), VALUE._col3 (type: decimal(22,2)), VALUE._col4 (type: decimal(22,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 4, 5, 6]
Statistics: Num rows: 12906568 Data size: 1138621219 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -656,23 +959,50 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [DecimalColDivideDecimalColumn(col 9:decimal(15,4), col 10:decimal(15,4))(children: CastLongToDecimal(col 3:bigint) -> 9:decimal(15,4), CastLongToDecimal(col 4:bigint) -> 10:decimal(15,4)) -> 12:decimal(35,20)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [DecimalColDivideDecimalColumn(col 9:decimal(15,4), col 10:decimal(15,4))(children: CastLongToDecimal(col 3:bigint) -> 9:decimal(15,4), CastLongToDecimal(col 4:bigint) -> 10:decimal(15,4)) -> 11:decimal(35,20)]
+ partitionExpressions: [ConstantVectorExpression(val 0) -> 8:int]
Statistics: Num rows: 12906568 Data size: 1138621219 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: rank_window_0 (type: int), _col0 (type: int), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
outputColumnNames: rank_window_0, _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [7, 2, 3, 4, 5, 6]
Statistics: Num rows: 12906568 Data size: 1138621219 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: 0 (type: int), (CAST( _col3 AS decimal(15,4)) / CAST( _col4 AS decimal(15,4))) (type: decimal(35,20))
sort order: ++
Map-reduce partition columns: 0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyExpressions: ConstantVectorExpression(val 0) -> 13:int, DecimalColDivideDecimalColumn(col 9:decimal(15,4), col 10:decimal(15,4))(children: CastDecimalToDecimal(col 5:decimal(22,2)) -> 9:decimal(15,4), CastDecimalToDecimal(col 6:decimal(22,2)) -> 10:decimal(15,4)) -> 14:decimal(35,20)
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 12906568 Data size: 1138621219 Basic stats: COMPLETE Column stats: NONE
value expressions: rank_window_0 (type: int), _col0 (type: int), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
Reducer 25
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: bigint), VALUE._col3 (type: bigint), VALUE._col4 (type: decimal(22,2)), VALUE._col5 (type: decimal(22,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 4, 5, 6, 7]
Statistics: Num rows: 12906568 Data size: 1138621219 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -693,15 +1023,39 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [DecimalColDivideDecimalColumn(col 10:decimal(15,4), col 11:decimal(15,4))(children: CastDecimalToDecimal(col 6:decimal(22,2)) -> 10:decimal(15,4), CastDecimalToDecimal(col 7:decimal(22,2)) -> 11:decimal(15,4)) -> 13:decimal(35,20)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [DecimalColDivideDecimalColumn(col 10:decimal(15,4), col 11:decimal(15,4))(children: CastDecimalToDecimal(col 6:decimal(22,2)) -> 10:decimal(15,4), CastDecimalToDecimal(col 7:decimal(22,2)) -> 11:decimal(15,4)) -> 12:decimal(35,20)]
+ partitionExpressions: [ConstantVectorExpression(val 0) -> 9:int]
Statistics: Num rows: 12906568 Data size: 1138621219 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterLongColLessEqualLongScalar(col 2:int, val 10), FilterLongColLessEqualLongScalar(col 8:int, val 10))
predicate: ((_col0 <= 10) or (rank_window_1 <= 10)) (type: boolean)
Statistics: Num rows: 8604378 Data size: 759080753 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: 'store' (type: string), _col1 (type: int), (CAST( _col2 AS decimal(15,4)) / CAST( _col3 AS decimal(15,4))) (type: decimal(35,20)), _col0 (type: int), rank_window_1 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [14, 3, 15, 2, 8]
+ selectExpressions: ConstantVectorExpression(val store) -> 14:string, DecimalColDivideDecimalColumn(col 10:decimal(15,4), col 11:decimal(15,4))(children: CastLongToDecimal(col 4:bigint) -> 10:decimal(15,4), CastLongToDecimal(col 5:bigint) -> 11:decimal(15,4)) -> 15:decimal(35,20)
Statistics: Num rows: 8604378 Data size: 759080753 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 14:string, col 2:int, col 8:int, col 3:int, col 15:decimal(35,20)
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: string), _col3 (type: int), _col4 (type: int), _col1 (type: int), _col2 (type: decimal(35,20))
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -710,9 +1064,18 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(35,20))
sort order: +++++
Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(35,20))
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 11830988 Data size: 1196621228 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -740,9 +1103,23 @@ STAGE PLANS:
value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 1:bigint) -> bigint, VectorUDAFSumLong(col 2:bigint) -> bigint, VectorUDAFSumDecimal(col 3:decimal(22,2)) -> decimal(22,2), VectorUDAFSumDecimal(col 4:decimal(22,2)) -> decimal(22,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -751,14 +1128,29 @@ STAGE PLANS:
key expressions: 0 (type: int), (CAST( _col1 AS decimal(15,4)) / CAST( _col2 AS decimal(15,4))) (type: decimal(35,20))
sort order: ++
Map-reduce partition columns: 0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyExpressions: ConstantVectorExpression(val 0) -> 5:int, DecimalColDivideDecimalColumn(col 6:decimal(15,4), col 7:decimal(15,4))(children: CastLongToDecimal(col 1:bigint) -> 6:decimal(15,4), CastLongToDecimal(col 2:bigint) -> 7:decimal(15,4)) -> 8:decimal(35,20)
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 3226726 Data size: 438741484 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint), VALUE._col3 (type: decimal(22,2)), VALUE._col4 (type: decimal(22,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 4, 5, 6]
Statistics: Num rows: 3226726 Data size: 438741484 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -780,23 +1172,50 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [DecimalColDivideDecimalColumn(col 9:decimal(15,4), col 10:decimal(15,4))(children: CastLongToDecimal(col 3:bigint) -> 9:decimal(15,4), CastLongToDecimal(col 4:bigint) -> 10:decimal(15,4)) -> 12:decimal(35,20)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [DecimalColDivideDecimalColumn(col 9:decimal(15,4), col 10:decimal(15,4))(children: CastLongToDecimal(col 3:bigint) -> 9:decimal(15,4), CastLongToDecimal(col 4:bigint) -> 10:decimal(15,4)) -> 11:decimal(35,20)]
+ partitionExpressions: [ConstantVectorExpression(val 0) -> 8:int]
Statistics: Num rows: 3226726 Data size: 438741484 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: rank_window_0 (type: int), _col0 (type: int), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
outputColumnNames: rank_window_0, _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [7, 2, 3, 4, 5, 6]
Statistics: Num rows: 3226726 Data size: 438741484 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: 0 (type: int), (CAST( _col3 AS decimal(15,4)) / CAST( _col4 AS decimal(15,4))) (type: decimal(35,20))
sort order: ++
Map-reduce partition columns: 0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyExpressions: ConstantVectorExpression(val 0) -> 13:int, DecimalColDivideDecimalColumn(col 9:decimal(15,4), col 10:decimal(15,4))(children: CastDecimalToDecimal(col 5:decimal(22,2)) -> 9:decimal(15,4), CastDecimalToDecimal(col 6:decimal(22,2)) -> 10:decimal(15,4)) -> 14:decimal(35,20)
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 3226726 Data size: 438741484 Basic stats: COMPLETE Column stats: NONE
value expressions: rank_window_0 (type: int), _col0 (type: int), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(22,2)), _col4 (type: decimal(22,2))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: bigint), VALUE._col3 (type: bigint), VALUE._col4 (type: decimal(22,2)), VALUE._col5 (type: decimal(22,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 4, 5, 6, 7]
Statistics: Num rows: 3226726 Data size: 438741484 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -817,15 +1236,39 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [DecimalColDivideDecimalColumn(col 10:decimal(15,4), col 11:decimal(15,4))(children: CastDecimalToDecimal(col 6:decimal(22,2)) -> 10:decimal(15,4), CastDecimalToDecimal(col 7:decimal(22,2)) -> 11:decimal(15,4)) -> 13:decimal(35,20)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [DecimalColDivideDecimalColumn(col 10:decimal(15,4), col 11:decimal(15,4))(children: CastDecimalToDecimal(col 6:decimal(22,2)) -> 10:decimal(15,4), CastDecimalToDecimal(col 7:decimal(22,2)) -> 11:decimal(15,4)) -> 12:decimal(35,20)]
+ partitionExpressions: [ConstantVectorExpression(val 0) -> 9:int]
Statistics: Num rows: 3226726 Data size: 438741484 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterLongColLessEqualLongScalar(col 2:int, val 10), FilterLongColLessEqualLongScalar(col 8:int, val 10))
predicate: ((_col0 <= 10) or (rank_window_1 <= 10)) (type: boolean)
Statistics: Num rows: 2151150 Data size: 292494232 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: 'web' (type: string), _col1 (type: int), (CAST( _col2 AS decimal(15,4)) / CAST( _col3 AS decimal(15,4))) (type: decimal(35,20)), _col0 (type: int), rank_window_1 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [14, 3, 15, 2, 8]
+ selectExpressions: ConstantVectorExpression(val web) -> 14:string, DecimalColDivideDecimalColumn(col 10:decimal(15,4), col 11:decimal(15,4))(children: CastLongToDecimal(col 4:bigint) -> 10:decimal(15,4), CastLongToDecimal(col 5:bigint) -> 11:decimal(15,4)) -> 15:decimal(35,20)
Statistics: Num rows: 2151150 Data size: 292494232 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 14:string, col 2:int, col 8:int, col 3:int, col 15:decimal(35,20)
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: string), _col3 (type: int), _col4 (type: int), _col1 (type: int), _col2 (type: decimal(35,20))
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -834,11 +1277,28 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(35,20))
sort order: +++++
Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(35,20))
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 6453220 Data size: 875080950 Basic stats: COMPLETE Column stats: NONE
Reducer 7
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int, col 2:int, col 3:int, col 4:decimal(35,20)
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: int), KEY._col4 (type: decimal(35,20))
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -846,8 +1306,19 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col3 (type: int), _col4 (type: decimal(35,20)), _col1 (type: int), _col2 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 4, 1, 2]
Statistics: Num rows: 3226610 Data size: 437540475 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string, col 1:int, col 2:int, col 3:int, col 4:decimal(35,20)
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: string), _col3 (type: int), _col4 (type: int), _col1 (type: int), _col2 (type: decimal(35,20))
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -856,12 +1327,29 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(35,20))
sort order: +++++
Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(35,20))
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 11830988 Data size: 1196621228 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
Reducer 8
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int, col 2:int, col 3:int, col 4:decimal(35,20)
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: int), KEY._col4 (type: decimal(35,20))
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -869,25 +1357,49 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col3 (type: int), _col4 (type: decimal(35,20)), _col1 (type: int), _col2 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 4, 1, 2]
Statistics: Num rows: 5915494 Data size: 598310614 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col3 (type: int), _col4 (type: int)
sort order: +++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 5915494 Data size: 598310614 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: int), _col2 (type: decimal(35,20))
Reducer 9
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: int), VALUE._col1 (type: decimal(35,20)), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 4, 1, 2]
Statistics: Num rows: 5915494 Data size: 598310614 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 10100 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 10100 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[37/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query29.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query29.q.out b/ql/src/test/results/clientpositive/perf/spark/query29.q.out
index a734710..2f3012a 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query29.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query29.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
i_item_id
,i_item_desc
@@ -44,7 +44,7 @@ select
,s_store_name
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
i_item_id
,i_item_desc
@@ -90,6 +90,10 @@ select
,s_store_name
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -107,18 +111,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_id (type: string), s_store_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 5]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -132,18 +158,40 @@ STAGE PLANS:
alias: d2
filterExpr: (d_moy BETWEEN 4 AND 7 and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 8:int, left 4, right 7), FilterLongColEqualLongScalar(col 6:int, val 1999), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1999) and d_date_sk is not null and d_moy BETWEEN 4 AND 7) (type: boolean)
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -165,51 +213,107 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int), cs_item_sk (type: int), cs_quantity (type: int)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 15, 18]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: d1
filterExpr: ((d_moy = 4) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 8:int, val 4), FilterLongColEqualLongScalar(col 6:int, val 1999), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 4) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: (sr_customer_sk is not null and sr_item_sk is not null and sr_ticket_number is not null and sr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 0:int))
predicate: (sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_returned_date_sk (type: int), sr_item_sk (type: int), sr_customer_sk (type: int), sr_ticket_number (type: int), sr_return_quantity (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 9, 10]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -217,6 +321,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col3, _col4
input vertices:
1 Map 13
@@ -225,9 +333,22 @@ STAGE PLANS:
key expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int)
sort order: +++
Map-reduce partition columns: _col1 (type: int), _col2 (type: int), _col3 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 63350266 Data size: 4908414421 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 14
@@ -236,62 +357,136 @@ STAGE PLANS:
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string), i_item_desc (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 4]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: d3
filterExpr: ((d_year) IN (1999, 2000, 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [1999, 2000, 2001]), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year) IN (1999, 2000, 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_item_sk is not null and ss_ticket_number is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_quantity (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 7, 9, 10]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -322,6 +517,11 @@ STAGE PLANS:
Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col8 (type: int), _col16 (type: int), _col21 (type: string), _col22 (type: string)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -338,6 +538,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -362,9 +567,23 @@ STAGE PLANS:
value expressions: _col4 (type: bigint), _col5 (type: bigint), _col6 (type: bigint)
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 4:bigint) -> bigint, VectorUDAFSumLong(col 5:bigint) -> bigint, VectorUDAFSumLong(col 6:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
@@ -372,27 +591,52 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string)
sort order: ++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 463823414 Data size: 40918636268 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col4 (type: bigint), _col5 (type: bigint), _col6 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6]
Statistics: Num rows: 463823414 Data size: 40918636268 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -409,6 +653,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col5 (type: int)
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query3.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query3.q.out b/ql/src/test/results/clientpositive/perf/spark/query3.q.out
index 5604cef..2ec519a 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query3.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query3.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select dt.d_year
,item.i_brand_id brand_id
,item.i_brand brand
@@ -18,7 +18,7 @@ select dt.d_year
,brand_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select dt.d_year
,item.i_brand_id brand_id
,item.i_brand brand
@@ -38,6 +38,10 @@ select dt.d_year
,brand_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -58,61 +62,135 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_manufact_id = 436) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 13:int, val 436), SelectColumnIsNotNull(col 0:int))
predicate: ((i_manufact_id = 436) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_brand (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 8]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: dt
filterExpr: ((d_moy = 12) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 8:int, val 12), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 12) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_year (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -129,6 +207,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col4 (type: int), _col5 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -152,9 +235,23 @@ STAGE PLANS:
value expressions: _col3 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3
@@ -162,21 +259,41 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: int), _col3 (type: decimal(17,2)), _col1 (type: int)
sort order: +-+
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col2 (type: string)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: int), VALUE._col0 (type: string), KEY.reducesinkkey1 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 1]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query30.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query30.q.out b/ql/src/test/results/clientpositive/perf/spark/query30.q.out
index 46c62e8..f30094e 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query30.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query30.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with customer_total_return as
(select wr_returning_customer_sk as ctr_customer_sk
,ca_state as ctr_state,
@@ -28,7 +28,7 @@ with customer_total_return as
,c_last_review_date,ctr_total_return
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with customer_total_return as
(select wr_returning_customer_sk as ctr_customer_sk
,ca_state as ctr_state,
@@ -58,6 +58,10 @@ with customer_total_return as
,c_last_review_date,ctr_total_return
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -84,158 +88,347 @@ STAGE PLANS:
alias: customer
filterExpr: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_current_addr_sk (type: int), c_salutation (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_day (type: int), c_birth_month (type: int), c_birth_year (type: int), c_birth_country (type: string), c_login (type: string), c_email_address (type: string), c_last_review_date (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int)
sort order: +
Map-reduce partition columns: _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: int), _col8 (type: int), _col9 (type: int), _col10 (type: string), _col11 (type: string), _col12 (type: string), _col13 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_state is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 8:string))
predicate: (ca_address_sk is not null and ca_state is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: (wr_returned_date_sk is not null and wr_returning_addr_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 10:int))
predicate: (wr_returned_date_sk is not null and wr_returning_addr_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wr_returned_date_sk (type: int), wr_returning_customer_sk (type: int), wr_returning_addr_sk (type: int), wr_return_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 10, 15]
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 17
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_state is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 8:string))
predicate: (ca_address_sk is not null and ca_state is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 5
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_state = 'IL') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 8:string, val IL), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_state = 'IL') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: (wr_returned_date_sk is not null and wr_returning_addr_sk is not null and wr_returning_customer_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 10:int), SelectColumnIsNotNull(col 7:int))
predicate: (wr_returned_date_sk is not null and wr_returning_addr_sk is not null and wr_returning_customer_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wr_returned_date_sk (type: int), wr_returning_customer_sk (type: int), wr_returning_addr_sk (type: int), wr_return_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 10, 15]
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -259,6 +452,11 @@ STAGE PLANS:
Statistics: Num rows: 8066666 Data size: 8186697393 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2))
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -275,6 +473,11 @@ STAGE PLANS:
Statistics: Num rows: 15838314 Data size: 1457713633 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: decimal(7,2))
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -298,9 +501,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2))
Reducer 16
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -308,9 +525,21 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col2 (type: decimal(17,2))
outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 22000000 Data size: 22327357890 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), count(_col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(27,2), VectorUDAFCount(col 2:decimal(17,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: _col0 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2
@@ -318,14 +547,28 @@ STAGE PLANS:
Select Operator
expressions: ((_col1 / _col2) * 1.2) (type: decimal(38,11)), _col0 (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 0]
+ selectExpressions: DecimalColMultiplyDecimalScalar(col 4:decimal(38,13), val 1.2)(children: DecimalColDivideDecimalColumn(col 1:decimal(27,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 2:bigint) -> 3:decimal(19,0)) -> 4:decimal(38,13)) -> 5:decimal(38,11)
Statistics: Num rows: 11000000 Data size: 11163678945 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 11000000 Data size: 11163678945 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(38,11))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -342,6 +585,11 @@ STAGE PLANS:
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: int), _col8 (type: int), _col9 (type: int), _col10 (type: string), _col11 (type: string), _col12 (type: string), _col13 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -362,22 +610,43 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: int), KEY.reducesinkkey6 (type: int), KEY.reducesinkkey7 (type: int), KEY.reducesinkkey8 (type: string), KEY.reducesinkkey9 (type: string), KEY.reducesinkkey10 (type: string), KEY.reducesinkkey11 (type: string), KEY.reducesinkkey12 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12]
Statistics: Num rows: 96800003 Data size: 83249958789 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 7
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -394,6 +663,11 @@ STAGE PLANS:
Statistics: Num rows: 15838314 Data size: 1457713633 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: decimal(7,2))
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -417,9 +691,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2))
Reducer 9
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -427,11 +715,19 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: int), _col0 (type: string), _col2 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 22000000 Data size: 22327357890 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 22000000 Data size: 22327357890 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(17,2))
[41/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query23.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query23.q.out b/ql/src/test/results/clientpositive/perf/spark/query23.q.out
index 4ccc2df..2c6d6f0 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query23.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query23.q.out
@@ -1,6 +1,6 @@
Warning: Map Join MAPJOIN[285][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
Warning: Map Join MAPJOIN[286][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with frequent_ss_items as
(select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
from store_sales
@@ -51,7 +51,7 @@ from
and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer))) y
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with frequent_ss_items as
(select substr(i_item_desc,1,30) itemdesc,i_item_sk item_sk,d_date solddate,count(*) cnt
from store_sales
@@ -102,6 +102,10 @@ from
and ws_bill_customer_sk in (select c_customer_sk from best_ss_customer))) y
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -128,117 +132,260 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_quantity (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 10, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (1999, 2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [1999, 2000, 2001, 2002]), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year) IN (1999, 2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_quantity (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 10, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (1999, 2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [1999, 2000, 2001, 2002]), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year) IN (1999, 2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 26
Map Operator Tree:
TableScan
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -255,6 +402,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -282,9 +434,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(28,2))
Reducer 16
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -292,44 +458,99 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count(_col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 0:int) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint)
Reducer 17
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: complete
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColLessEqualLongScalar(col 1:bigint, val 1)(children: FuncAbsLongToLong(col 0:bigint) -> 1:bigint)
predicate: (sq_count_check(_col0) <= 1) (type: boolean)
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
2
Reducer 21
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -346,6 +567,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -373,9 +599,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(28,2))
Reducer 23
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -383,27 +623,58 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: decimal(28,2))
outputColumnNames: _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: max(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxDecimal(col 1:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 224 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 224 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(28,2))
Reducer 24
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: max(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxDecimal(col 0:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 224 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -428,117 +699,260 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_quantity (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 10, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 47
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (1999, 2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [1999, 2000, 2001, 2002]), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year) IN (1999, 2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 48
Map Operator Tree:
TableScan
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 49
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_quantity (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 10, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 54
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (1999, 2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [1999, 2000, 2001, 2002]), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year) IN (1999, 2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 55
Map Operator Tree:
TableScan
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 43
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -555,6 +969,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Reducer 44
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -582,9 +1001,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(28,2))
Reducer 45
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -592,44 +1025,99 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count(_col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 0:int) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint)
Reducer 46
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: complete
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColLessEqualLongScalar(col 1:bigint, val 1)(children: FuncAbsLongToLong(col 0:bigint) -> 1:bigint)
predicate: (sq_count_check(_col0) <= 1) (type: boolean)
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
2
Reducer 50
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -646,6 +1134,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Reducer 51
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -673,9 +1166,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(28,2))
Reducer 52
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -683,27 +1190,58 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: decimal(28,2))
outputColumnNames: _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: max(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxDecimal(col 1:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 224 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 224 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(28,2))
Reducer 53
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: max(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxDecimal(col 0:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 224 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -733,163 +1271,361 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_bill_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int), cs_item_sk (type: int), cs_quantity (type: int), cs_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 15, 18, 20]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (1999, 2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [1999, 2000, 2001, 2002]), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year) IN (1999, 2000, 2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_desc (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 27
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: ss_customer_sk is not null (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 3:int)
predicate: ss_customer_sk is not null (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_customer_sk (type: int), ss_quantity (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 10, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 30
Map Operator Tree:
TableScan
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 31
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_item_sk is not null and ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_bill_customer_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_bill_customer_sk (type: int), ws_quantity (type: int), ws_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 4, 18, 20]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 35
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 1) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 1), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 1) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 36
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3
@@ -897,15 +1633,34 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), _col3 (type: bigint)
outputColumnNames: _col0, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColGreaterLongScalar(col 3:bigint, val 4)
predicate: (_col3 > 4L) (type: boolean)
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: int)
outputColumnNames: _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: []
keys: _col1 (type: int)
mode: complete
outputColumnNames: _col0
@@ -914,8 +1669,17 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 58079562 Data size: 5123795819 Basic stats: COMPLETE Column stats: NONE
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -932,6 +1696,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 28
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -961,9 +1730,23 @@ STAGE PLANS:
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -976,24 +1759,47 @@ STAGE PLANS:
0
1
2
+ Map Join Vectorization:
+ bigTableValueExpressions: col 0:int, col 1:decimal(28,2)
+ className: VectorMapJoinOperator
+ native: false
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
+ nativeConditionsNotMet: One MapJoin Condition IS false
outputColumnNames: _col1, _col2, _col3
input vertices:
0 Reducer 17
1 Reducer 24
Statistics: Num rows: 316797606 Data size: 137243150824 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vec
<TRUNCATED>
[26/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query5.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query5.q.out b/ql/src/test/results/clientpositive/perf/spark/query5.q.out
index afcd4e5..68a7ded 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query5.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query5.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with ssr as
(select s_store_id,
sum(sales_price) as sales,
@@ -125,7 +125,7 @@ with ssr as
,id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with ssr as
(select s_store_id,
sum(sales_price) as sales,
@@ -252,6 +252,10 @@ with ssr as
,id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -269,18 +273,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -294,18 +320,40 @@ STAGE PLANS:
alias: web_site
filterExpr: web_site_sk is not null (type: boolean)
Statistics: Num rows: 84 Data size: 155408 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: web_site_sk is not null (type: boolean)
Statistics: Num rows: 84 Data size: 155408 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: web_site_sk (type: int), web_site_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 84 Data size: 155408 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -330,199 +378,439 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_store_sk (type: int), ss_sold_date_sk (type: int), ss_ext_sales_price (type: decimal(7,2)), ss_net_profit (type: decimal(7,2)), 0 (type: decimal(7,2)), 0 (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [7, 0, 15, 22, 24, 25]
+ selectExpressions: ConstantVectorExpression(val 0) -> 24:decimal(7,2), ConstantVectorExpression(val 0) -> 25:decimal(7,2)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633586785 Data size: 55276696920 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: catalog_returns
filterExpr: (cr_returned_date_sk is not null and cr_catalog_page_sk is not null) (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:int))
predicate: (cr_catalog_page_sk is not null and cr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_catalog_page_sk (type: int), cr_returned_date_sk (type: int), 0 (type: decimal(7,2)), 0 (type: decimal(7,2)), cr_return_amount (type: decimal(7,2)), cr_net_loss (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [12, 0, 28, 29, 18, 26]
+ selectExpressions: ConstantVectorExpression(val 0) -> 28:decimal(7,2), ConstantVectorExpression(val 0) -> 29:decimal(7,2)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788717 Data size: 42056843632 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-08-18 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-08-03 17:00:00.0, right 1998-08-17 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-08-18 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: catalog_page
filterExpr: cp_catalog_page_sk is not null (type: boolean)
Statistics: Num rows: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cp_catalog_page_sk is not null (type: boolean)
Statistics: Num rows: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cp_catalog_page_sk (type: int), cp_catalog_page_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 16
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_web_site_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 13:int))
predicate: (ws_sold_date_sk is not null and ws_web_site_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_web_site_sk (type: int), ws_sold_date_sk (type: int), ws_ext_sales_price (type: decimal(7,2)), ws_net_profit (type: decimal(7,2)), 0 (type: decimal(7,2)), 0 (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [13, 0, 23, 33, 35, 36]
+ selectExpressions: ConstantVectorExpression(val 0) -> 35:decimal(7,2), ConstantVectorExpression(val 0) -> 36:decimal(7,2)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 302405606 Data size: 41118416712 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_web_site_sk is not null and ws_item_sk is not null and ws_order_number is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 13:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 17:int))
predicate: (ws_item_sk is not null and ws_order_number is not null and ws_web_site_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_item_sk (type: int), ws_web_site_sk (type: int), ws_order_number (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 13, 17]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col2 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 21
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: (wr_returned_date_sk is not null and wr_item_sk is not null and wr_order_number is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 13:int))
predicate: (wr_item_sk is not null and wr_order_number is not null and wr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wr_returned_date_sk (type: int), wr_item_sk (type: int), wr_order_number (type: int), wr_return_amt (type: decimal(7,2)), wr_net_loss (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 13, 15, 23]
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int), _col2 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: (sr_returned_date_sk is not null and sr_store_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (sr_returned_date_sk is not null and sr_store_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_store_sk (type: int), sr_returned_date_sk (type: int), 0 (type: decimal(7,2)), 0 (type: decimal(7,2)), sr_return_amt (type: decimal(7,2)), sr_net_loss (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [7, 0, 21, 22, 11, 19]
+ selectExpressions: ConstantVectorExpression(val 0) -> 21:decimal(7,2), ConstantVectorExpression(val 0) -> 22:decimal(7,2)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633586785 Data size: 55276696920 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-08-18 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-08-03 17:00:00.0, right 1998-08-17 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-08-18 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_sold_date_sk is not null and cs_catalog_page_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:int))
predicate: (cs_catalog_page_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_catalog_page_sk (type: int), cs_sold_date_sk (type: int), cs_ext_sales_price (type: decimal(7,2)), cs_net_profit (type: decimal(7,2)), 0 (type: decimal(7,2)), 0 (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [12, 0, 23, 33, 35, 36]
+ selectExpressions: ConstantVectorExpression(val 0) -> 35:decimal(7,2), ConstantVectorExpression(val 0) -> 36:decimal(7,2)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788717 Data size: 42056843632 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -539,6 +827,11 @@ STAGE PLANS:
Statistics: Num rows: 348467596 Data size: 46262528997 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -562,9 +855,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -572,9 +879,22 @@ STAGE PLANS:
Select Operator
expressions: 'catalog channel' (type: string), concat('catalog_page', _col0) (type: string), _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), (_col3 - _col4) (type: decimal(18,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 6, 1, 2, 7]
+ selectExpressions: ConstantVectorExpression(val catalog channel) -> 5:string, StringScalarConcatStringGroupCol(val catalog_page, col 0:string) -> 6:string, DecimalColSubtractDecimalColumn(col 3:decimal(17,2), col 4:decimal(17,2)) -> 7:decimal(18,2)
Statistics: Num rows: 191657181 Data size: 25444391433 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 7:decimal(18,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:string, col 6:string, ConstantVectorExpression(val 0) -> 8:bigint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
keys: _col0 (type: string), _col1 (type: string), 0L (type: bigint)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -583,12 +903,21 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
Reducer 17
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -622,9 +951,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
Reducer 18
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -632,9 +975,22 @@ STAGE PLANS:
Select Operator
expressions: 'web channel' (type: string), concat('web_site', _col0) (type: string), _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), (_col3 - _col4) (type: decimal(18,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 6, 1, 2, 7]
+ selectExpressions: ConstantVectorExpression(val web channel) -> 5:string, StringScalarConcatStringGroupCol(val web_site, col 0:string) -> 6:string, DecimalColSubtractDecimalColumn(col 3:decimal(17,2), col 4:decimal(17,2)) -> 7:decimal(18,2)
Statistics: Num rows: 182955399 Data size: 24876643188 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 7:decimal(18,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:string, col 6:string, ConstantVectorExpression(val 0) -> 8:bigint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
keys: _col0 (type: string), _col1 (type: string), 0L (type: bigint)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -643,12 +999,21 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -681,6 +1046,11 @@ STAGE PLANS:
Statistics: Num rows: 766640042 Data size: 66884806171 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
Reducer 20
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -699,9 +1069,23 @@ STAGE PLANS:
value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -709,9 +1093,22 @@ STAGE PLANS:
Select Operator
expressions: 'store channel' (type: string), concat('store', _col0) (type: string), _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), (_col3 - _col4) (type: decimal(18,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 6, 1, 2, 7]
+ selectExpressions: ConstantVectorExpression(val store channel) -> 5:string, StringScalarConcatStringGroupCol(val store, col 0:string) -> 6:string, DecimalColSubtractDecimalColumn(col 3:decimal(17,2), col 4:decimal(17,2)) -> 7:decimal(18,2)
Statistics: Num rows: 383320021 Data size: 33442403085 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 7:decimal(18,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:string, col 6:string, ConstantVectorExpression(val 0) -> 8:bigint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
keys: _col0 (type: string), _col1 (type: string), 0L (type: bigint)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -720,14 +1117,32 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 3:decimal(27,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 4:decimal(27,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 5:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:bigint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint)
mode: mergepartial
outputColumnNames: _col0, _col1, _col3, _col4, _col5
@@ -736,25 +1151,49 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
Statistics: Num rows: 1136898901 Data size: 125645156503 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string)
sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1136898901 Data size: 125645156503 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col2 (type: decimal(27,2)), _col3 (type: decimal(27,2)), _col4 (type: decimal(28,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(27,2)), VALUE._col1 (type: decimal(27,2)), VALUE._col2 (type: decimal(28,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
Statistics: Num rows: 1136898901 Data size: 125645156503 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 11000 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 11000 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query50.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query50.q.out b/ql/src/test/results/clientpositive/perf/spark/query50.q.out
index 0c4528f..ac7ff3e 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query50.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query50.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
s_store_name
,s_company_id
@@ -56,7 +56,7 @@ order by s_store_name
,s_zip
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
s_store_name
,s_company_id
@@ -114,6 +114,10 @@ order by s_store_name
,s_zip
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -130,18 +134,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_name (type: string), s_company_id (type: int), s_street_number (type: string), s_street_name (type: string), s_street_type (type: string), s_suite_number (type: string), s_city (type: string), s_county (type: string), s_state (type: string), s_zip (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 16, 18, 19, 20, 21, 22, 23, 24, 25]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col10 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -161,79 +187,176 @@ STAGE PLANS:
alias: store_returns
filterExpr: (sr_ticket_number is not null and sr_item_sk is not null and sr_customer_sk is not null and sr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_returned_date_sk (type: int), sr_item_sk (type: int), sr_customer_sk (type: int), sr_ticket_number (type: int)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 9]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: d2
filterExpr: ((d_year = 2000) and (d_moy = 9) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterLongColEqualLongScalar(col 8:int, val 9), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 9) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_ticket_number is not null and ss_item_sk is not null and ss_customer_sk is not null and ss_store_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 7, 9]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int), _col2 (type: int), _col4 (type: int)
sort order: +++
Map-reduce partition columns: _col1 (type: int), _col2 (type: int), _col4 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col3 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: d1
filterExpr: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -250,6 +373,11 @@ STAGE PLANS:
Statistics: Num rows: 63350266 Data size: 4908414421 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -268,6 +396,11 @@ STAGE PLANS:
Reducer 4
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -306,9 +439,23 @@ STAGE PLANS:
value expressions: _col10 (type: bigint), _col11 (type: bigint), _col12 (type: bigint), _col13 (type: bigint), _col14 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 10:bigint) -> bigint, VectorUDAFSumLong(col 11:bigint) -> bigint, VectorUDAFSumLong(col 12:bigint) -> bigint, VectorUDAFSumLong(col 13:bigint) -> bigint, VectorUDAFSumLong(col 14:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string, col 7:string, col 8:string, col 9:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string), KEY._col7 (type: string), KEY._col8 (type: string), KEY._col9 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
@@ -316,21 +463,41 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: string)
sort order: ++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col10 (type: bigint), _col11 (type: bigint), _col12 (type: bigint), _col13 (type: bigint), _col14 (type: bigint)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: string), KEY.reducesinkkey6 (type: string), KEY.reducesinkkey7 (type: string), KEY.reducesinkkey8 (type: string), KEY.reducesinkkey9 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint), VALUE._col3 (type: bigint), VALUE._col4 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14]
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[24/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query54.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query54.q.out b/ql/src/test/results/clientpositive/perf/spark/query54.q.out
index 241d6d8..aa43c3d 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query54.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query54.q.out
@@ -2,7 +2,7 @@ Warning: Shuffle Join JOIN[84][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hd
Warning: Shuffle Join JOIN[115][tables = [$hdt$_0, $hdt$_1]] in Work 'Reducer 5' is a cross product
Warning: Map Join MAPJOIN[145][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
Warning: Map Join MAPJOIN[144][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with my_customers as (
select distinct c_customer_sk
, c_current_addr_sk
@@ -57,7 +57,7 @@ with my_customers as (
order by segment, num_customers
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with my_customers as (
select distinct c_customer_sk
, c_current_addr_sk
@@ -112,6 +112,10 @@ with my_customers as (
order by segment, num_customers
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -133,14 +137,32 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 3)) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 3))
predicate: ((d_moy = 3) and (d_year = 1999)) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (d_month_seq + 3) (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [29]
+ selectExpressions: LongColAddLongScalar(col 3:int, val 3) -> 29:int
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 29:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
@@ -149,43 +171,108 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 28
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint)
Reducer 29
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColLessEqualLongScalar(col 1:bigint, val 1)(children: FuncAbsLongToLong(col 0:bigint) -> 1:bigint)
predicate: (sq_count_check(_col0) <= 1) (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -203,14 +290,32 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 3)) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 3))
predicate: ((d_moy = 3) and (d_year = 1999)) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (d_month_seq + 1) (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [29]
+ selectExpressions: LongColAddLongScalar(col 3:int, val 1) -> 29:int
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 29:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
@@ -219,43 +324,108 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 23
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint)
Reducer 24
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColLessEqualLongScalar(col 1:bigint, val 1)(children: FuncAbsLongToLong(col 0:bigint) -> 1:bigint)
predicate: (sq_count_check(_col0) <= 1) (type: boolean)
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -270,18 +440,40 @@ STAGE PLANS:
alias: store
filterExpr: (s_county is not null and s_state is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 23:string), SelectColumnIsNotNull(col 24:string))
predicate: (s_county is not null and s_state is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_county (type: string), s_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [23, 24]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: string), _col2 (type: string)
1 _col0 (type: string), _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -310,32 +502,65 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and ca_county is not null and ca_state is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:string), SelectColumnIsNotNull(col 8:string))
predicate: (ca_address_sk is not null and ca_county is not null and ca_state is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_county (type: string), ca_state (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 8]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -343,6 +568,10 @@ STAGE PLANS:
keys:
0 _col1 (type: string), _col2 (type: string)
1 _col0 (type: string), _col1 (type: string)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0
input vertices:
1 Map 12
@@ -351,8 +580,21 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 44000000 Data size: 44654715780 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 13
@@ -361,112 +603,245 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_sold_date_sk is not null and cs_bill_customer_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int))
predicate: (cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int), cs_item_sk (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 15]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 431992504 Data size: 58579807164 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_item_sk is not null and ws_sold_date_sk is not null and ws_bill_customer_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (ws_bill_customer_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int), ws_item_sk (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 3]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 431992504 Data size: 58579807164 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_moy = 3) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 8:int, val 3), FilterLongColEqualLongScalar(col 6:int, val 1999), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 3) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_category = 'Jewelry') and (i_class = 'consignment') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 12:string, val Jewelry), FilterStringGroupColEqualStringScalar(col 10:string, val consignment), SelectColumnIsNotNull(col 0:int))
predicate: ((i_category = 'Jewelry') and (i_class = 'consignment') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 115500 Data size: 165890114 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 115500 Data size: 165890114 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 115500 Data size: 165890114 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 21
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_addr_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 3)) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 3))
predicate: ((d_moy = 3) and (d_year = 1999)) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (d_month_seq + 1) (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [29]
+ selectExpressions: LongColAddLongScalar(col 3:int, val 1) -> 29:int
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 29:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
@@ -475,22 +850,53 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 30
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 3)) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 3))
predicate: ((d_moy = 3) and (d_year = 1999)) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (d_month_seq + 3) (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [29]
+ selectExpressions: LongColAddLongScalar(col 3:int, val 3) -> 29:int
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 29:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
@@ -499,29 +905,70 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: d_date_sk is not null (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_month_seq (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -537,6 +984,11 @@ STAGE PLANS:
Map-reduce partition columns: _col5 (type: int)
Statistics: Num rows: 316240138 Data size: 42883351551 Basic stats: COMPLETE Column stats: NONE
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -553,6 +1005,11 @@ STAGE PLANS:
Statistics: Num rows: 475191764 Data size: 64437789277 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -568,6 +1025,11 @@ STAGE PLANS:
Map-reduce partition columns: _col1 (type: int)
Statistics: Num rows: 522710951 Data size: 70881569741 Basic stats: COMPLETE Column stats: NONE
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -589,8 +1051,21 @@ STAGE PLANS:
Statistics: Num rows: 574982058 Data size: 77969728405 Basic stats: COMPLETE Column stats: NONE
Reducer 17
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -598,14 +1073,27 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: int), _col0 (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
Statistics: Num rows: 287491029 Data size: 38984864202 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287491029 Data size: 38984864202 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -623,19 +1111,41 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(7,2)), _col4 (type: int)
Reducer 26
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -661,19 +1171,41 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(7,2)), _col4 (type: int), _col10 (type: int)
Reducer 31
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 9131 Data size: 10217589 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Reducer 4
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -706,6 +1238,11 @@ STAGE PLANS:
Statistics: Num rows: 6363893803988 Data size: 7803535707732365 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: decimal(7,2)), _col2 (type: int), _col3 (type: int)
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -736,9 +1273,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -746,9 +1297,22 @@ STAGE PLANS:
Select Operator
expressions: UDFToInteger((_col1 / 50)) (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3]
+ selectExpressions: CastDecimalToLong(col 2:decimal(21,6))(children: DecimalColDivideDecimalScalar(col 1:decimal(17,2), val 50) -> 2:decimal(21,6)) -> 3:int
Statistics: Num rows: 3228261906900801 Data size: 512409557603043008 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 3:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0, _col1
@@ -757,13 +1321,31 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 3228261906900801 Data size: 512409557603043008 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: bigint)
Reducer 7
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -771,25 +1353,50 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), _col1 (type: bigint), (_col0 * 50) (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
+ selectExpressions: LongColMultiplyLongScalar(col 0:int, val 50) -> 2:int
Statistics: Num rows: 1614130953450400 Data size: 256204778801521408 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: bigint)
sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1614130953450400 Data size: 256204778801521408 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col2 (type: int)
Reducer 8
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey1 (type: bigint), VALUE._col0 (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
Statistics: Num rows: 1614130953450400 Data size: 256204778801521408 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 15800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 15800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query55.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query55.q.out b/ql/src/test/results/clientpositive/perf/spark/query55.q.out
index afcd67c..18baea7 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query55.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query55.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_brand_id brand_id, i_brand brand,
sum(ss_ext_sales_price) ext_price
from date_dim, store_sales, item
@@ -11,7 +11,7 @@ select i_brand_id brand_id, i_brand brand,
order by ext_price desc, i_brand_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_brand_id brand_id, i_brand brand,
sum(ss_ext_sales_price) ext_price
from date_dim, store_sales, item
@@ -24,6 +24,10 @@ select i_brand_id brand_id, i_brand brand,
order by ext_price desc, i_brand_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -44,60 +48,134 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_moy = 12) and (d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 8:int, val 12), FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 12) and (d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_manager_id = 36) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 20:int, val 36), SelectColumnIsNotNull(col 0:int))
predicate: ((i_manager_id = 36) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_brand (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 8]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -114,6 +192,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -137,9 +220,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -147,25 +244,49 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: string), _col2 (type: decimal(17,2)), _col0 (type: int)
outputColumnNames: _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 2, 0]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: decimal(17,2)), _col3 (type: int)
sort order: -+
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: string)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey1 (type: int), VALUE._col0 (type: string), KEY.reducesinkkey0 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 2, 0]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[17/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query65.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query65.q.out b/ql/src/test/results/clientpositive/perf/spark/query65.q.out
index 4afa1a6..e8eaa2a 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query65.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query65.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
s_store_name,
i_item_desc,
@@ -26,7 +26,7 @@ select
order by s_store_name, i_item_desc
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
s_store_name,
i_item_desc,
@@ -54,6 +54,10 @@ select
order by s_store_name, i_item_desc
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -71,18 +75,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -96,18 +122,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -127,12 +175,22 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 7, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -140,12 +198,24 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col3
input vertices:
1 Map 6
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 13:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 7:int, col 2:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col2 (type: int), _col1 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -154,9 +224,22 @@ STAGE PLANS:
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 10
@@ -165,52 +248,108 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_name (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_desc (type: string), i_current_price (type: decimal(7,2)), i_wholesale_cost (type: decimal(7,2)), i_brand (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 5, 6, 8]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 7, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -218,12 +357,24 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col3
input vertices:
1 Map 9
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 13:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 7:int, col 2:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col2 (type: int), _col1 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -232,16 +383,43 @@ STAGE PLANS:
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Reducer 2
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -250,9 +428,18 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316797606 Data size: 27947976754 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(17,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -274,6 +461,11 @@ STAGE PLANS:
Statistics: Num rows: 232318249 Data size: 20495183367 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2)), _col6 (type: string)
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -295,16 +487,32 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: string)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: decimal(7,2)), VALUE._col2 (type: decimal(7,2)), VALUE._col3 (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
Statistics: Num rows: 255550079 Data size: 22544702192 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
@@ -312,9 +520,23 @@ STAGE PLANS:
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 8
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -322,9 +544,21 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), _col2 (type: decimal(17,2))
outputColumnNames: _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 316797606 Data size: 27947976754 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), count(_col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(27,2), VectorUDAFCount(col 2:decimal(17,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: _col1 (type: int)
mode: complete
outputColumnNames: _col0, _col1, _col2
@@ -332,11 +566,20 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), (_col1 / _col2) (type: decimal(38,13))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
+ selectExpressions: DecimalColDivideDecimalColumn(col 1:decimal(27,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 2:bigint) -> 3:decimal(19,0)) -> 4:decimal(38,13)
Statistics: Num rows: 158398803 Data size: 13973988377 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158398803 Data size: 13973988377 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(38,13))
[02/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query85.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query85.q.out b/ql/src/test/results/clientpositive/perf/spark/query85.q.out
index d1b3a2c..09b2a40 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query85.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query85.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select substr(r_reason_desc,1,20)
,avg(ws_quantity)
,avg(wr_refunded_cash)
@@ -81,7 +81,7 @@ order by substr(r_reason_desc,1,20)
,avg(wr_fee)
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select substr(r_reason_desc,1,20)
,avg(ws_quantity)
,avg(wr_refunded_cash)
@@ -164,6 +164,10 @@ order by substr(r_reason_desc,1,20)
,avg(wr_fee)
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -180,18 +184,40 @@ STAGE PLANS:
alias: web_page
filterExpr: wp_web_page_sk is not null (type: boolean)
Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: wp_web_page_sk is not null (type: boolean)
Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wp_web_page_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 15
@@ -200,18 +226,40 @@ STAGE PLANS:
alias: reason
filterExpr: r_reason_sk is not null (type: boolean)
Statistics: Num rows: 72 Data size: 14400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: r_reason_sk is not null (type: boolean)
Statistics: Num rows: 72 Data size: 14400 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: r_reason_sk (type: int), r_reason_desc (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 72 Data size: 14400 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col13 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -233,119 +281,262 @@ STAGE PLANS:
alias: web_sales
filterExpr: ((ws_sales_price BETWEEN 100 AND 150 or ws_sales_price BETWEEN 50 AND 100 or ws_sales_price BETWEEN 150 AND 200) and ws_item_sk is not null and ws_order_number is not null and ws_web_page_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterDecimal64ColumnBetween(col 21:decimal(7,2)/DECIMAL_64, decimal64LeftVal 10000, decimalLeftVal 10000, decimal64RightVal 15000, decimalRightVal 15000), FilterDecimal64ColumnBetween(col 21:decimal(7,2)/DECIMAL_64, decimal64LeftVal 5000, decimalLeftVal 5000, decimal64RightVal 10000, decimalRightVal 10000), FilterDecimal64ColumnBetween(col 21:decimal(7,2)/DECIMAL_64, decimal64LeftVal 15000, decimalLeftVal 15000, decimal64RightVal 20000, decimalRightVal 20000)), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 17:int), SelectColumnIsNotNull(col 12:int), SelectColumnIsNotNull(col 0:int))
predicate: ((ws_sales_price BETWEEN 100 AND 150 or ws_sales_price BETWEEN 50 AND 100 or ws_sales_price BETWEEN 150 AND 200) and ws_item_sk is not null and ws_order_number is not null and ws_sold_date_sk is not null and ws_web_page_sk is not null) (type: boolean)
Statistics: Num rows: 48000888 Data size: 6526732556 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_web_page_sk (type: int), ws_order_number (type: int), ws_quantity (type: int), ws_sales_price (type: decimal(7,2)), ws_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 12, 17, 18, 21, 33]
Statistics: Num rows: 48000888 Data size: 6526732556 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 48000888 Data size: 6526732556 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: (wr_item_sk is not null and wr_order_number is not null and wr_refunded_cdemo_sk is not null and wr_returning_cdemo_sk is not null and wr_refunded_addr_sk is not null and wr_reason_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 13:int), SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 8:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 12:int))
predicate: (wr_item_sk is not null and wr_order_number is not null and wr_reason_sk is not null and wr_refunded_addr_sk is not null and wr_refunded_cdemo_sk is not null and wr_returning_cdemo_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wr_item_sk (type: int), wr_refunded_cdemo_sk (type: int), wr_refunded_addr_sk (type: int), wr_returning_cdemo_sk (type: int), wr_reason_sk (type: int), wr_order_number (type: int), wr_fee (type: decimal(7,2)), wr_refunded_cash (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 4, 6, 8, 12, 13, 18, 20]
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col5 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col5 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: cd1
filterExpr: ((cd_education_status) IN ('4 yr Degree', 'Primary', 'Advanced Degree') and (cd_marital_status) IN ('M', 'D', 'U') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 3, values 4 yr Degree, Primary, Advanced Degree), FilterStringColumnInList(col 2, values M, D, U), SelectColumnIsNotNull(col 0:int))
predicate: ((cd_education_status) IN ('4 yr Degree', 'Primary', 'Advanced Degree') and (cd_marital_status) IN ('M', 'D', 'U') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int), cd_marital_status (type: string), cd_education_status (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3]
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: cd2
filterExpr: ((cd_education_status) IN ('4 yr Degree', 'Primary', 'Advanced Degree') and (cd_marital_status) IN ('M', 'D', 'U') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 3, values 4 yr Degree, Primary, Advanced Degree), FilterStringColumnInList(col 2, values M, D, U), SelectColumnIsNotNull(col 0:int))
predicate: ((cd_education_status) IN ('4 yr Degree', 'Primary', 'Advanced Degree') and (cd_marital_status) IN ('M', 'D', 'U') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int), cd_marital_status (type: string), cd_education_status (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3]
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: string), _col2 (type: string)
sort order: +++
Map-reduce partition columns: _col0 (type: int), _col1 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_country = 'United States') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 10:string, val United States), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_country = 'United States') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1998), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -362,6 +553,11 @@ STAGE PLANS:
Statistics: Num rows: 52800977 Data size: 7179405967 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -378,6 +574,11 @@ STAGE PLANS:
Statistics: Num rows: 58081075 Data size: 7897346734 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col11 (type: int), _col12 (type: int), _col13 (type: int), _col15 (type: decimal(7,2)), _col16 (type: decimal(7,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -397,6 +598,11 @@ STAGE PLANS:
Statistics: Num rows: 5324097 Data size: 723923250 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col4 (type: int), _col6 (type: decimal(7,2)), _col11 (type: int), _col13 (type: int), _col15 (type: decimal(7,2)), _col16 (type: decimal(7,2))
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -415,6 +621,11 @@ STAGE PLANS:
Reducer 6
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -461,9 +672,23 @@ STAGE PLANS:
value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: bigint), _col5 (type: decimal(17,2)), _col6 (type: bigint)
Reducer 7
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), sum(VALUE._col2), count(VALUE._col3), sum(VALUE._col4), count(VALUE._col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 1:bigint) -> bigint, VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 4:bigint) -> bigint, VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 6:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
@@ -471,24 +696,49 @@ STAGE PLANS:
Select Operator
expressions: (_col1 / _col2) (type: double), (_col3 / _col4) (type: decimal(37,22)), (_col5 / _col6) (type: decimal(37,22)), substr(_col0, 1, 20) (type: string)
outputColumnNames: _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [7, 9, 10, 11]
+ selectExpressions: LongColDivideLongColumn(col 1:bigint, col 2:bigint) -> 7:double, DecimalColDivideDecimalColumn(col 3:decimal(17,2), col 8:decimal(19,0))(children: CastLongToDecimal(col 4:bigint) -> 8:decimal(19,0)) -> 9:decimal(37,22), DecimalColDivideDecimalColumn(col 5:decimal(17,2), col 8:decimal(19,0))(children: CastLongToDecimal(col 6:bigint) -> 8:decimal(19,0)) -> 10:decimal(37,22), StringSubstrColStartLen(col 0:string, start 0, length 20) -> 11:string
Statistics: Num rows: 4436665 Data size: 4502682709 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col7 (type: string), _col4 (type: double), _col5 (type: decimal(37,22)), _col6 (type: decimal(37,22))
sort order: ++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 4436665 Data size: 4502682709 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
Reducer 8
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: double), KEY.reducesinkkey2 (type: decimal(37,22)), KEY.reducesinkkey3 (type: decimal(37,22))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
Statistics: Num rows: 4436665 Data size: 4502682709 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 101400 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 101400 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query86.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query86.q.out b/ql/src/test/results/clientpositive/perf/spark/query86.q.out
index 1d1e4ef..231d57d 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query86.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query86.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
sum(ws_net_paid) as total_sum
,i_category
@@ -23,7 +23,7 @@ select
rank_within_parent
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
sum(ws_net_paid) as total_sum
,i_category
@@ -48,6 +48,10 @@ select
rank_within_parent
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -64,18 +68,40 @@ STAGE PLANS:
alias: d1
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -94,12 +120,22 @@ STAGE PLANS:
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_item_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int))
predicate: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_net_paid (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 29]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -107,6 +143,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2
input vertices:
1 Map 6
@@ -115,9 +155,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 7
@@ -126,21 +179,49 @@ STAGE PLANS:
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_class (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 10, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -168,9 +249,23 @@ STAGE PLANS:
value expressions: _col3 (type: decimal(17,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: true
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:bigint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3
@@ -178,19 +273,38 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(17,2)), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 3, 2]
Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (CAST( null AS STRING)) END (type: string), _col2 (type: decimal(17,2))
sort order: ++-
Map-reduce partition columns: (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (CAST( null AS STRING)) END (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyExpressions: LongColAddLongColumn(col 4:bigint, col 5:bigint)(children: VectorUDFAdaptor(grouping(_col3, 1)) -> 4:bigint, VectorUDFAdaptor(grouping(_col3, 0)) -> 5:bigint) -> 6:bigint, IfExprColumnNull(col 5:boolean, col 0:string, null)(children: LongColEqualLongScalar(col 4:bigint, val 0)(children: VectorUDFAdaptor(grouping(_col3, 0)) -> 4:bigint) -> 5:boolean, col 0:string) -> 7:string
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string), _col1 (type: string), _col3 (type: bigint)
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: true
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), KEY.reducesinkkey2 (type: decimal(17,2)), VALUE._col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 4, 2, 5]
Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -212,29 +326,62 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [col 2:decimal(17,2)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [col 2:decimal(17,2)]
+ partitionExpressions: [LongColAddLongColumn(col 7:bigint, col 8:bigint)(children: VectorUDFAdaptor(grouping(_col3, 1)) -> 7:bigint, VectorUDFAdaptor(grouping(_col3, 0)) -> 8:bigint) -> 9:bigint, IfExprColumnNull(col 8:boolean, col 3:string, null)(children: LongColEqualLongScalar(col 7:bigint, val 0)(children: VectorUDFAdaptor(grouping(_col3, 0)) -> 7:bigint) -> 8:boolean, col 3:string) -> 10:string]
Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col2 (type: decimal(17,2)), _col0 (type: string), _col1 (type: string), (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), rank_window_0 (type: int), CASE WHEN (((grouping(_col3, 1) + grouping(_col3, 0)) = 0)) THEN (_col0) ELSE (null) END (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 4, 12, 6, 14]
+ selectExpressions: LongColAddLongColumn(col 7:bigint, col 11:bigint)(children: VectorUDFAdaptor(grouping(_col3, 1)) -> 7:bigint, VectorUDFAdaptor(grouping(_col3, 0)) -> 11:bigint) -> 12:bigint, IfExprColumnNull(col 7:boolean, col 3:string, null)(children: LongColEqualLongScalar(col 13:bigint, val 0)(children: LongColAddLongColumn(col 7:bigint, col 11:bigint)(children: VectorUDFAdaptor(grouping(_col3, 1)) -> 7:bigint, VectorUDFAdaptor(grouping(_col3, 0)) -> 11:bigint) -> 13:bigint) -> 7:boolean, col 3:string) -> 14:string
Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col3 (type: bigint), _col5 (type: string), _col4 (type: int)
sort order: -++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col0 (type: decimal(17,2)), _col1 (type: string), _col2 (type: string)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: bigint), KEY.reducesinkkey2 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 4, 5, 0, 2]
Statistics: Num rows: 261364852 Data size: 35538061226 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[11/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query74.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query74.q.out b/ql/src/test/results/clientpositive/perf/spark/query74.q.out
index e73a19f..fbb0ffb 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query74.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query74.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
@@ -58,7 +58,7 @@ with year_total as (
order by 2,1,3
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
@@ -118,6 +118,10 @@ with year_total as (
order by 2,1,3
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -148,241 +152,526 @@ STAGE PLANS:
alias: web_sales
filterExpr: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int), ws_net_paid (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 29]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (2001, 2002) and (d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [2001, 2002]), FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and (d_year) IN (2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), 2001 (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 29]
+ selectExpressions: ConstantVectorExpression(val 2001) -> 29:int
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int), ws_net_paid (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 29]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (2001, 2002) and (d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [2001, 2002]), FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and (d_year) IN (2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), 2001 (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 29]
+ selectExpressions: ConstantVectorExpression(val 2001) -> 29:int
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 21
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_net_paid (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 20]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (2001, 2002) and (d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [2001, 2002]), FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and (d_year) IN (2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), 2002 (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 29]
+ selectExpressions: ConstantVectorExpression(val 2002) -> 29:int
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 26
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year) IN (2001, 2002) and (d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 6:int, values [2001, 2002]), FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and (d_year) IN (2001, 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), 2002 (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 29]
+ selectExpressions: ConstantVectorExpression(val 2002) -> 29:int
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_net_paid (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 20]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -399,6 +688,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col4 (type: int)
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -422,9 +716,23 @@ STAGE PLANS:
value expressions: _col4 (type: decimal(7,2))
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: max(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxDecimal(col 4:decimal(7,2)) -> decimal(7,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -432,21 +740,42 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col4 (type: decimal(7,2))
outputColumnNames: _col0, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterDecimalColGreaterDecimalScalar(col 4:decimal(7,2), val 0)
predicate: (_col4 > 0) (type: boolean)
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col4 (type: decimal(7,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2))
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -463,6 +792,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col4 (type: int)
Reducer 17
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -486,9 +820,23 @@ STAGE PLANS:
value expressions: _col4 (type: decimal(7,2))
Reducer 18
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: max(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxDecimal(col 4:decimal(7,2)) -> decimal(7,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -496,21 +844,42 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col4 (type: decimal(7,2))
outputColumnNames: _col0, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterDecimalColGreaterDecimalScalar(col 4:decimal(7,2), val 0)
predicate: (_col4 > 0) (type: boolean)
Statistics: Num rows: 29040539 Data size: 3948673454 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col4 (type: decimal(7,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 29040539 Data size: 3948673454 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 29040539 Data size: 3948673454 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -527,6 +896,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col4 (type: int)
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -543,6 +917,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col4 (type: int)
Reducer 23
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -566,9 +945,23 @@ STAGE PLANS:
value expressions: _col4 (type: decimal(7,2))
Reducer 24
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: max(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxDecimal(col 4:decimal(7,2)) -> decimal(7,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -576,14 +969,27 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col4 (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 4]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: decimal(7,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -607,9 +1013,23 @@ STAGE PLANS:
value expressions: _col4 (type: decimal(7,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: max(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxDecimal(col 4:decimal(7,2)) -> decimal(7,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -617,14 +1037,27 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col4 (type: decimal(7,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2))
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -652,16 +1085,32 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey2 (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 574987679 Data size: 50725579961 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[16/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query66.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query66.q.out b/ql/src/test/results/clientpositive/perf/spark/query66.q.out
index 1533d45..65f5285 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query66.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query66.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
w_warehouse_name
,w_warehouse_sq_ft
@@ -219,7 +219,7 @@ select
order by w_warehouse_name
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
w_warehouse_name
,w_warehouse_sq_ft
@@ -440,6 +440,10 @@ select
order by w_warehouse_name
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -459,18 +463,40 @@ STAGE PLANS:
alias: ship_mode
filterExpr: ((sm_carrier) IN ('DIAMOND', 'AIRBORNE') and sm_ship_mode_sk is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 4, values DIAMOND, AIRBORNE), SelectColumnIsNotNull(col 0:int))
predicate: ((sm_carrier) IN ('DIAMOND', 'AIRBORNE') and sm_ship_mode_sk is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: sm_ship_mode_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 9
@@ -479,18 +505,40 @@ STAGE PLANS:
alias: warehouse
filterExpr: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: w_warehouse_sk (type: int), w_warehouse_name (type: string), w_warehouse_sq_ft (type: int), w_city (type: string), w_county (type: string), w_state (type: string), w_country (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 8, 9, 10, 12]
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -504,18 +552,40 @@ STAGE PLANS:
alias: time_dim
filterExpr: (t_time BETWEEN 49530 AND 78330 and t_time_sk is not null) (type: boolean)
Statistics: Num rows: 86400 Data size: 40694400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 2:int, left 49530, right 78330), SelectColumnIsNotNull(col 0:int))
predicate: (t_time BETWEEN 49530 AND 78330 and t_time_sk is not null) (type: boolean)
Statistics: Num rows: 9600 Data size: 4521600 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: t_time_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 9600 Data size: 4521600 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -529,18 +599,40 @@ STAGE PLANS:
alias: ship_mode
filterExpr: ((sm_carrier) IN ('DIAMOND', 'AIRBORNE') and sm_ship_mode_sk is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 4, values DIAMOND, AIRBORNE), SelectColumnIsNotNull(col 0:int))
predicate: ((sm_carrier) IN ('DIAMOND', 'AIRBORNE') and sm_ship_mode_sk is not null) (type: boolean)
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: sm_ship_mode_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 16
@@ -549,18 +641,40 @@ STAGE PLANS:
alias: warehouse
filterExpr: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: w_warehouse_sk (type: int), w_warehouse_name (type: string), w_warehouse_sq_ft (type: int), w_city (type: string), w_county (type: string), w_state (type: string), w_country (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 8, 9, 10, 12]
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -574,18 +688,40 @@ STAGE PLANS:
alias: time_dim
filterExpr: (t_time BETWEEN 49530 AND 78330 and t_time_sk is not null) (type: boolean)
Statistics: Num rows: 86400 Data size: 40694400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 2:int, left 49530, right 78330), SelectColumnIsNotNull(col 0:int))
predicate: (t_time BETWEEN 49530 AND 78330 and t_time_sk is not null) (type: boolean)
Statistics: Num rows: 9600 Data size: 4521600 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: t_time_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 9600 Data size: 4521600 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -606,12 +742,22 @@ STAGE PLANS:
alias: web_sales
filterExpr: (ws_warehouse_sk is not null and ws_sold_date_sk is not null and ws_sold_time_sk is not null and ws_ship_mode_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:int), SelectColumnIsNotNull(col 14:int))
predicate: (ws_ship_mode_sk is not null and ws_sold_date_sk is not null and ws_sold_time_sk is not null and ws_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_sold_time_sk (type: int), ws_ship_mode_sk (type: int), ws_warehouse_sk (type: int), ws_quantity (type: int), ws_sales_price (type: decimal(7,2)), ws_net_paid_inc_tax (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 14, 15, 18, 21, 30]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -619,6 +765,10 @@ STAGE PLANS:
keys:
0 _col1 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0, _col2, _col3, _col4, _col5, _col6
input vertices:
1 Map 6
@@ -627,9 +777,22 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 10
@@ -638,12 +801,22 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_warehouse_sk is not null and cs_sold_date_sk is not null and cs_sold_time_sk is not null and cs_ship_mode_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 14:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:int), SelectColumnIsNotNull(col 13:int))
predicate: (cs_ship_mode_sk is not null and cs_sold_date_sk is not null and cs_sold_time_sk is not null and cs_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_sold_time_sk (type: int), cs_ship_mode_sk (type: int), cs_warehouse_sk (type: int), cs_quantity (type: int), cs_ext_sales_price (type: decimal(7,2)), cs_net_paid_inc_ship_tax (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 13, 14, 18, 23, 32]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -651,6 +824,10 @@ STAGE PLANS:
keys:
0 _col1 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0, _col2, _col3, _col4, _col5, _col6
input vertices:
1 Map 13
@@ -659,9 +836,22 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 14
@@ -670,43 +860,94 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_moy (type: int)
outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_moy (type: int)
outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 11
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -754,9 +995,23 @@ STAGE PLANS:
value expressions: _col6 (type: decimal(28,2)), _col7 (type: decimal(28,2)), _col8 (type: decimal(28,2)), _col9 (type: decimal(28,2)), _col10 (type: decimal(28,2)), _col11 (type: decimal(28,2)), _col12 (type: decimal(28,2)), _col13 (type: decimal(28,2)), _col14 (type: decimal(28,2)), _col15 (type: decimal(28,2)), _col16 (type: decimal(28,2)), _col17 (type: decimal(28,2)), _col18 (type: decimal(28,2)), _col19 (type: decimal(28,2)), _col20 (type: decimal(28,2)), _col21 (type: decimal(28,2)), _col22 (type: decimal(28,2)), _col23 (type: decimal(28,2)), _col24 (type: decimal(28,2)), _col25 (type: decimal(28,2)), _col26 (type: decimal(28,2)), _col27 (type: decimal(28,2)), _col28 (type: decimal(28,2)), _col29 (type: decimal(28,2))
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6), sum(VALUE._col7), sum(VALUE._col8), sum(VALUE._col9), sum(VALUE._col10), sum(VALUE._col11), sum(VALUE._col12), sum(VALUE._col13), sum(VALUE._col14), sum(VALUE._col15), sum(VALUE._col16), sum(VALUE._col17), sum(VALUE._col18), sum(VALUE._col19), sum(VALUE._col20), sum(VALUE._col21), sum(VALUE._col22), sum(VALUE._col23)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 6:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 7:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 8:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 9:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 10:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 11:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 12:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 13:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 14:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 15:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 16:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 17:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 18:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 19:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 20:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 21:decimal(28,2)) -> decimal
(28,2), VectorUDAFSumDecimal(col 22:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 23:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 24:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 25:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 26:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 27:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 28:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 29:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int, col 2:string, col 3:string, col 4:string, col 5:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]
keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21, _col22, _col23, _col24, _col25, _col26, _col27, _col28, _col29
@@ -764,9 +1019,22 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: decimal(28,2)), _col7 (type: decimal(28,2)), _col8 (type: decimal(28,2)), _col9 (type: decimal(28,2)), _col10 (type: decimal(28,2)), _col11 (type: decimal(28,2)), _col12 (type: decimal(28,2)), _col13 (type: decimal(28,2)), _col14 (type: decimal(28,2)), _col15 (type: decimal(28,2)), _col16 (type: decimal(28,2)), _col17 (type: decimal(28,2)), (_col6 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col7 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col8 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col9 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col10 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col11 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col12 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col13 / CAST( _col1 AS decim
al(10,0))) (type: decimal(38,12)), (_col14 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col15 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col16 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col17 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), _col18 (type: decimal(28,2)), _col19 (type: decimal(28,2)), _col20 (type: decimal(28,2)), _col21 (type: decimal(28,2)), _col22 (type: decimal(28,2)), _col23 (type: decimal(28,2)), _col24 (type: decimal(28,2)), _col25 (type: decimal(28,2)), _col26 (type: decimal(28,2)), _col27 (type: decimal(28,2)), _col28 (type: decimal(28,2)), _col29 (type: decimal(28,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21, _col22, _col23, _col24, _col25, _col26, _col27, _col28, _col29, _col30, _col31, _col32, _col33, _col34, _col35, _col36, _col37, _col38, _col39, _col40, _col41
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
+ selectExpressions: DecimalColDivideDecimalColumn(col 6:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 31:decimal(38,12), DecimalColDivideDecimalColumn(col 7:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 32:decimal(38,12), DecimalColDivideDecimalColumn(col 8:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 33:decimal(38,12), DecimalColDivideDecimalColumn(col 9:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 34:decimal(38,12), DecimalColDivideDecimalColumn(col 10:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 35:decimal(38,12), DecimalColDivideDecimalColumn(col 11:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 36:decimal(38,12), DecimalColDivideDecimalC
olumn(col 12:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 37:decimal(38,12), DecimalColDivideDecimalColumn(col 13:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 38:decimal(38,12), DecimalColDivideDecimalColumn(col 14:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 39:decimal(38,12), DecimalColDivideDecimalColumn(col 15:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 40:decimal(38,12), DecimalColDivideDecimalColumn(col 16:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 41:decimal(38,12), DecimalColDivideDecimalColumn(col 17:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 42:decimal(38,12)
Statistics: Num rows: 316240137 Data size: 42883351482 Basic stats: PARTIAL Column stats: NONE
Group By Operator
aggregations: sum(_col6), sum(_col7), sum(_col8), sum(_col9), sum(_col10), sum(_col11), sum(_col12), sum(_col13), sum(_col14), sum(_col15), sum(_col16), sum(_col17), sum(_col18), sum(_col19), sum(_col20), sum(_col21), sum(_col22), sum(_col23), sum(_col24), sum(_col25), sum(_col26), sum(_col27), sum(_col28), sum(_col29), sum(_col30), sum(_col31), sum(_col32), sum(_col33), sum(_col34), sum(_col35), sum(_col36), sum(_col37), sum(_col38), sum(_col39), sum(_col40), sum(_col41)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 6:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 7:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 8:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 9:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 10:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 11:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 12:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 13:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 14:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 15:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 16:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 17:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 31:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 32:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 33:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 34:decimal(38,12))
-> decimal(38,12), VectorUDAFSumDecimal(col 35:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 36:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 37:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 38:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 39:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 40:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 41:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 42:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 18:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 19:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 20:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 21:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 22:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 23:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 24:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 25:decimal(28,2)) ->
decimal(38,2), VectorUDAFSumDecimal(col 26:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 27:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 28:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 29:decimal(28,2)) -> decimal(38,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string, col 1:int, col 2:string, col 3:string, col 4:string, col 5:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
keys: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21, _col22, _col23, _col24, _col25, _col26, _col27, _col28, _col29, _col30, _col31, _col32, _col33, _col34, _col35, _col36, _col37, _col38, _col39, _col40, _col41
@@ -775,12 +1043,21 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string)
sort order: ++++++
Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316240137 Data size: 42883351482 Basic stats: PARTIAL Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col6 (type: decimal(38,2)), _col7 (type: decimal(38,2)), _col8 (type: decimal(38,2)), _col9 (type: decimal(38,2)), _col10 (type: decimal(38,2)), _col11 (type: decimal(38,2)), _col12 (type: decimal(38,2)), _col13 (type: decimal(38,2)), _col14 (type: decimal(38,2)), _col15 (type: decimal(38,2)), _col16 (type: decimal(38,2)), _col17 (type: decimal(38,2)), _col18 (type: decimal(38,12)), _col19 (type: decimal(38,12)), _col20 (type: decimal(38,12)), _col21 (type: decimal(38,12)), _col22 (type: decimal(38,12)), _col23 (type: decimal(38,12)), _col24 (type: decimal(38,12)), _col25 (type: decimal(38,12)), _col26 (type: decimal(38,12)), _col27 (type: decimal(38,12)), _col28 (type: decimal(38,12)), _col29 (type: decimal(38,12)), _col30 (type: decimal(38,2)), _col31 (type: decimal(38,2)), _col32 (type: decimal(38,2)), _col33 (type: decimal(38,2)), _col34 (type: decimal(38,2)), _col35 (type: decimal(38,2)), _col36 (type: decimal(38,2)), _col37 (type: deci
mal(38,2)), _col38 (type: decimal(38,2)), _col39 (type: decimal(38,2)), _col40 (type: decimal(38,2)), _col41 (type: decimal(38,2))
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -828,9 +1105,23 @@ STAGE PLANS:
value expressions: _col6 (type: decimal(28,2)), _col7 (type: decimal(28,2)), _col8 (type: decimal(28,2)), _col9 (type: decimal(28,2)), _col10 (type: decimal(28,2)), _col11 (type: decimal(28,2)), _col12 (type: decimal(28,2)), _col13 (type: decimal(28,2)), _col14 (type: decimal(28,2)), _col15 (type: decimal(28,2)), _col16 (type: decimal(28,2)), _col17 (type: decimal(28,2)), _col18 (type: decimal(28,2)), _col19 (type: decimal(28,2)), _col20 (type: decimal(28,2)), _col21 (type: decimal(28,2)), _col22 (type: decimal(28,2)), _col23 (type: decimal(28,2)), _col24 (type: decimal(28,2)), _col25 (type: decimal(28,2)), _col26 (type: decimal(28,2)), _col27 (type: decimal(28,2)), _col28 (type: decimal(28,2)), _col29 (type: decimal(28,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6), sum(VALUE._col7), sum(VALUE._col8), sum(VALUE._col9), sum(VALUE._col10), sum(VALUE._col11), sum(VALUE._col12), sum(VALUE._col13), sum(VALUE._col14), sum(VALUE._col15), sum(VALUE._col16), sum(VALUE._col17), sum(VALUE._col18), sum(VALUE._col19), sum(VALUE._col20), sum(VALUE._col21), sum(VALUE._col22), sum(VALUE._col23)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 6:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 7:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 8:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 9:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 10:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 11:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 12:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 13:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 14:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 15:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 16:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 17:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 18:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 19:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 20:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 21:decimal(28,2)) -> decimal
(28,2), VectorUDAFSumDecimal(col 22:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 23:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 24:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 25:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 26:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 27:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 28:decimal(28,2)) -> decimal(28,2), VectorUDAFSumDecimal(col 29:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int, col 2:string, col 3:string, col 4:string, col 5:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23]
keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21, _col22, _col23, _col24, _col25, _col26, _col27, _col28, _col29
@@ -838,9 +1129,22 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: decimal(28,2)), _col7 (type: decimal(28,2)), _col8 (type: decimal(28,2)), _col9 (type: decimal(28,2)), _col10 (type: decimal(28,2)), _col11 (type: decimal(28,2)), _col12 (type: decimal(28,2)), _col13 (type: decimal(28,2)), _col14 (type: decimal(28,2)), _col15 (type: decimal(28,2)), _col16 (type: decimal(28,2)), _col17 (type: decimal(28,2)), (_col6 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col7 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col8 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col9 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col10 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col11 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col12 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col13 / CAST( _col1 AS decim
al(10,0))) (type: decimal(38,12)), (_col14 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col15 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col16 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), (_col17 / CAST( _col1 AS decimal(10,0))) (type: decimal(38,12)), _col18 (type: decimal(28,2)), _col19 (type: decimal(28,2)), _col20 (type: decimal(28,2)), _col21 (type: decimal(28,2)), _col22 (type: decimal(28,2)), _col23 (type: decimal(28,2)), _col24 (type: decimal(28,2)), _col25 (type: decimal(28,2)), _col26 (type: decimal(28,2)), _col27 (type: decimal(28,2)), _col28 (type: decimal(28,2)), _col29 (type: decimal(28,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21, _col22, _col23, _col24, _col25, _col26, _col27, _col28, _col29, _col30, _col31, _col32, _col33, _col34, _col35, _col36, _col37, _col38, _col39, _col40, _col41
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29]
+ selectExpressions: DecimalColDivideDecimalColumn(col 6:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 31:decimal(38,12), DecimalColDivideDecimalColumn(col 7:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 32:decimal(38,12), DecimalColDivideDecimalColumn(col 8:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 33:decimal(38,12), DecimalColDivideDecimalColumn(col 9:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 34:decimal(38,12), DecimalColDivideDecimalColumn(col 10:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 35:decimal(38,12), DecimalColDivideDecimalColumn(col 11:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 36:decimal(38,12), DecimalColDivideDecimalC
olumn(col 12:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 37:decimal(38,12), DecimalColDivideDecimalColumn(col 13:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 38:decimal(38,12), DecimalColDivideDecimalColumn(col 14:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 39:decimal(38,12), DecimalColDivideDecimalColumn(col 15:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 40:decimal(38,12), DecimalColDivideDecimalColumn(col 16:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 41:decimal(38,12), DecimalColDivideDecimalColumn(col 17:decimal(28,2), col 30:decimal(10,0))(children: CastLongToDecimal(col 1:int) -> 30:decimal(10,0)) -> 42:decimal(38,12)
Statistics: Num rows: 316240137 Data size: 42883351482 Basic stats: PARTIAL Column stats: NONE
Group By Operator
aggregations: sum(_col6), sum(_col7), sum(_col8), sum(_col9), sum(_col10), sum(_col11), sum(_col12), sum(_col13), sum(_col14), sum(_col15), sum(_col16), sum(_col17), sum(_col18), sum(_col19), sum(_col20), sum(_col21), sum(_col22), sum(_col23), sum(_col24), sum(_col25), sum(_col26), sum(_col27), sum(_col28), sum(_col29), sum(_col30), sum(_col31), sum(_col32), sum(_col33), sum(_col34), sum(_col35), sum(_col36), sum(_col37), sum(_col38), sum(_col39), sum(_col40), sum(_col41)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 6:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 7:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 8:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 9:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 10:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 11:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 12:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 13:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 14:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 15:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 16:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 17:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 31:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 32:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 33:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 34:decimal(38,12))
-> decimal(38,12), VectorUDAFSumDecimal(col 35:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 36:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 37:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 38:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 39:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 40:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 41:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 42:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 18:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 19:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 20:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 21:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 22:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 23:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 24:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 25:decimal(28,2)) ->
decimal(38,2), VectorUDAFSumDecimal(col 26:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 27:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 28:decimal(28,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 29:decimal(28,2)) -> decimal(38,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string, col 1:int, col 2:string, col 3:string, col 4:string, col 5:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
keys: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21, _col22, _col23, _col24, _col25, _col26, _col27, _col28, _col29, _col30, _col31, _col32, _col33, _col34, _col35, _col36, _col37, _col38, _col39, _col40, _col41
@@ -849,14 +1153,32 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string)
sort order: ++++++
Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316240137 Data size: 42883351482 Basic stats: PARTIAL Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col6 (type: decimal(38,2)), _col7 (type: decimal(38,2)), _col8 (type: decimal(38,2)), _col9 (type: decimal(38,2)), _col10 (type: decimal(38,2)), _col11 (type: decimal(38,2)), _col12 (type: decimal(38,2)), _col13 (type: decimal(38,2)), _col14 (type: decimal(38,2)), _col15 (type: decimal(38,2)), _col16 (type: decimal(38,2)), _col17 (type: decimal(38,2)), _col18 (type: decimal(38,12)), _col19 (type: decimal(38,12)), _col20 (type: decimal(38,12)), _col21 (type: decimal(38,12)), _col22 (type: decimal(38,12)), _col23 (type: decimal(38,12)), _col24 (type: decimal(38,12)), _col25 (type: decimal(38,12)), _col26 (type: decimal(38,12)), _col27 (type: decimal(38,12)), _col28 (type: decimal(38,12)), _col29 (type: decimal(38,12)), _col30 (type: decimal(38,2)), _col31 (type: decimal(38,2)), _col32 (type: decimal(38,2)), _col33 (type: decimal(38,2)), _col34 (type: decimal(38,2)), _col35 (type: decimal(38,2)), _col36 (type: decimal(38,2)), _col37 (type: deci
mal(38,2)), _col38 (type: decimal(38,2)), _col39 (type: decimal(38,2)), _col40 (type: decimal(38,2)), _col41 (type: decimal(38,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6), sum(VALUE._col7), sum(VALUE._col8), sum(VALUE._col9), sum(VALUE._col10), sum(VALUE._col11), sum(VALUE._col12), sum(VALUE._col13), sum(VALUE._col14), sum(VALUE._col15), sum(VALUE._col16), sum(VALUE._col17), sum(VALUE._col18), sum(VALUE._col19), sum(VALUE._col20), sum(VALUE._col21), sum(VALUE._col22), sum(VALUE._col23), sum(VALUE._col24), sum(VALUE._col25), sum(VALUE._col26), sum(VALUE._col27), sum(VALUE._col28), sum(VALUE._col29), sum(VALUE._col30), sum(VALUE._col31), sum(VALUE._col32), sum(VALUE._col33), sum(VALUE._col34), sum(VALUE._col35)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 6:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 7:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 8:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 9:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 10:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 11:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 12:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 13:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 14:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 15:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 16:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 17:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 18:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 19:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 20:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 21:decimal(38,12)) ->
decimal(38,12), VectorUDAFSumDecimal(col 22:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 23:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 24:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 25:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 26:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 27:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 28:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 29:decimal(38,12)) -> decimal(38,12), VectorUDAFSumDecimal(col 30:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 31:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 32:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 33:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 34:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 35:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 36:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 37:decimal(38,2)) -> deci
mal(38,2), VectorUDAFSumDecimal(col 38:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 39:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 40:decimal(38,2)) -> decimal(38,2), VectorUDAFSumDecimal(col 41:decimal(38,2)) -> decimal(38,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int, col 2:string, col 3:string, col 4:string, col 5:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35]
keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21, _col22, _col23, _col24, _col25, _col26, _col27, _col28, _col29, _col30, _col31, _col32, _col33, _col34, _col35, _col36, _col37, _col38, _col39, _col40, _col41
@@ -864,25 +1186,50 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158120068 Data size: 21441675673 Basic stats: PARTIAL Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: decimal(38,2)), _col7 (type: decimal(38,2)), _col8 (type: decimal(38,2)), _col9 (type: decimal(38,2)), _col10 (type: decimal(38,2)), _col11 (type: decimal(38,2)), _col12 (type: decimal(38,2)), _col13 (type: decimal(38,2)), _col14 (type: decimal(38,2)), _col15 (type: decimal(38,2)), _col16 (type: decimal(38,2)), _col17 (type: decimal(38,2)), _col18 (type: decimal(38,12)), _col19 (type: decimal(38,12)), _col20 (type: decimal(38,12)), _col21 (type: decimal(38,12)), _col22 (type: decimal(38,12)), _col23 (type: decimal(38,12)), _col24 (type: decimal(38,12)), _col25 (type: decimal(38,12)), _col26 (type: decimal(38,12)), _col27 (type: decimal(38,12)), _col28 (type: decimal(38,12)), _col29 (type: decimal(38,12)), _col30 (type: decimal(38,2)), _col31 (type: decimal(38,2)), _col32 (type: decimal(38,2)), _col33 (type: decimal(38,2)), _col3
4 (type: decimal(38,2)), _col35 (type: decimal(38,2)), _col36 (type: decimal(38,2)), _col37 (type: decimal(38,2)), _col38 (type: decimal(38,2)), _col39 (type: decimal(38,2)), _col40 (type: decimal(38,2)), _col41 (type: decimal(38,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: int), VALUE._col1 (type: string), VALUE._col2 (type: string), VALUE._col3 (type: string), VALUE._col4 (type: string), VALUE._col5 (type: decimal(38,2)), VALUE._col6 (type: decimal(38,2)), VALUE._col7 (type: decimal(38,2)), VALUE._col8 (type: decimal(38,2)), VALUE._col9 (type: decimal(38,2)), VALUE._col10 (type: decimal(38,2)), VALUE._col11 (type: decimal(38,2)), VALUE._col12 (type: decimal(38,2)), VALUE._col13 (type: decimal(38,2)), VALUE._col14 (type: decimal(38,2)), VALUE._col15 (type: decimal(38,2)), VALUE._col16 (type: decimal(38,2)), VALUE._col17 (type: decimal(38,12)), VALUE._col18 (type: decimal(38,12)), VALUE._col19 (type: decimal(38,12)), VALUE._col20 (type: decimal(38,12)), VALUE._col21 (type: decimal(38,12)), VALUE._col22 (type: decimal(38,12)), VALUE._col23 (type: decimal(38,12)), VALUE._col24 (type: decimal(38,12)), VALUE._col25 (type: decimal(38,12)), VALUE._col26 (type: decimal(38,12)),
VALUE._col27 (type: decimal(38,12)), VALUE._col28 (type: decimal(38,12)), VALUE._col29 (type: decimal(38,2)), VALUE._col30 (type: decimal(38,2)), VALUE._col31 (type: decimal(38,2)), VALUE._col32 (type: decimal(38,2)), VALUE._col33 (type: decimal(38,2)), VALUE._col34 (type: decimal(38,2)), VALUE._col35 (type: decimal(38,2)), VALUE._col36 (type: decimal(38,2)), VALUE._col37 (type: decimal(38,2)), VALUE._col38 (type: decimal(38,2)), VALUE._col39 (type: decimal(38,2)), VALUE._col40 (type: decimal(38,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21, _col22, _col23, _col24, _col25, _col26, _col27, _col28, _col29, _col30, _col31, _col32, _col33, _col34, _col35, _col36, _col37, _col38, _col39, _col40, _col41
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41]
Statistics: Num rows: 158120068 Data size: 21441675673 Basic stats: PARTIAL Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), 'DIAMOND,AIRBORNE' (type: string), 2002 (type: int), _col6 (type: decimal(38,2)), _col7 (type: decimal(38,2)), _col8 (type: decimal(38,2)), _col9 (type: decimal(38,2)), _col10 (type: decimal(38,2)), _col11 (type: decimal(38,2)), _col12 (type: decimal(38,2)), _col13 (type: decimal(38,2)), _col14 (type: decimal(38,2)), _col15 (type: decimal(38,2)), _col16 (type: decimal(38,2)), _col17 (type: decimal(38,2)), _col18 (type: decimal(38,12)), _col19 (type: decimal(38,12)), _col20 (type: decimal(38,12)), _col21 (type: decimal(38,12)), _col22 (type: decimal(38,12)), _col23 (type: decimal(38,12)), _col24 (type: decimal(38,12)), _col25 (type: decimal(38,12)), _col26 (type: decimal(38,12)), _col27 (type: decimal(38,12)), _col28 (type: decimal(38,12)), _col29 (type: decimal(38,12)), _col30 (type: decimal(38,2)), _col31 (type: decimal(38
,2)), _col32 (type: decimal(38,2)), _col33 (type: decimal(38,2)), _col34 (type: decimal(38,2)), _col35 (type: decimal(38,2)), _col36 (type: decimal(38,2)), _col37 (type: decimal(38,2)), _col38 (type: decimal(38,2)), _col39 (type: decimal(38,2)), _col40 (type: decimal(38,2)), _col41 (type: decimal(38,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21, _col22, _col23, _col24, _col25, _col26, _col27, _col28, _col29, _col30, _col31, _col32, _col33, _col34, _col35, _col36, _col37, _col38, _col39, _col40, _col41, _col42, _col43
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 42, 43, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41]
+ selectExpressions: ConstantVectorExpression(val DIAMOND,AIRBORNE) -> 42:string, ConstantVectorExpression(val 2002) -> 43:int
Statistics: Num rows: 100 Data size: 13500 Basic stats: PARTIAL Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: PARTIAL Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[46/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query11.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query11.q.out b/ql/src/test/results/clientpositive/perf/spark/query11.q.out
index 87a0cc0..9a19fdf 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query11.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query11.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
@@ -72,7 +72,7 @@ with year_total as (
order by t_s_secyear.c_preferred_cust_flag
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
@@ -146,6 +146,10 @@ with year_total as (
order by t_s_secyear.c_preferred_cust_flag
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -176,237 +180,518 @@ STAGE PLANS:
alias: web_sales
filterExpr: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int), ws_ext_discount_amt (type: decimal(7,2)), ws_ext_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 22, 25]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_country (type: string), c_login (type: string), c_email_address (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9, 10, 14, 15, 16]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int), ws_ext_discount_amt (type: decimal(7,2)), ws_ext_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 22, 25]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_country (type: string), c_login (type: string), c_email_address (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9, 10, 14, 15, 16]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 21
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_ext_discount_amt (type: decimal(7,2)), ss_ext_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 14, 17]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 26
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_country (type: string), c_login (type: string), c_email_address (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9, 10, 14, 15, 16]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: customer
filterExpr: (c_customer_sk is not null and c_customer_id is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:string))
predicate: (c_customer_id is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string), c_first_name (type: string), c_last_name (type: string), c_preferred_cust_flag (type: string), c_birth_country (type: string), c_login (type: string), c_email_address (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 9, 10, 14, 15, 16]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_ext_discount_amt (type: decimal(7,2)), ss_ext_list_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 14, 17]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -423,6 +708,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -450,9 +740,23 @@ STAGE PLANS:
value expressions: _col7 (type: decimal(18,2))
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 7:decimal(18,2)) -> decimal(18,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -460,21 +764,42 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(18,2))
outputColumnNames: _col0, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterDecimalColGreaterDecimalScalar(col 7:decimal(18,2), val 0)
predicate: (_col7 > 0) (type: boolean)
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(18,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(18,2))
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -491,6 +816,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Reducer 17
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -518,9 +848,23 @@ STAGE PLANS:
value expressions: _col7 (type: decimal(18,2))
Reducer 18
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 7:decimal(18,2)) -> decimal(18,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -528,21 +872,42 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(18,2))
outputColumnNames: _col0, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterDecimalColGreaterDecimalScalar(col 7:decimal(18,2), val 0)
predicate: (_col7 > 0) (type: boolean)
Statistics: Num rows: 29040539 Data size: 3948673454 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(18,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 29040539 Data size: 3948673454 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 29040539 Data size: 3948673454 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(18,2))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -559,6 +924,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -575,6 +945,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Reducer 23
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -602,9 +977,23 @@ STAGE PLANS:
value expressions: _col7 (type: decimal(18,2))
Reducer 24
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 7:decimal(18,2)) -> decimal(18,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -612,14 +1001,27 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col3 (type: string), _col7 (type: decimal(18,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 7]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: decimal(18,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -647,9 +1049,23 @@ STAGE PLANS:
value expressions: _col7 (type: decimal(18,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 7:decimal(18,2)) -> decimal(18,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:string, col 5:string, col 6:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -657,14 +1073,27 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col7 (type: decimal(18,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(18,2))
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -692,16 +1121,32 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 574987679 Data size: 50725579961 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query12.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query12.q.out b/ql/src/test/results/clientpositive/perf/spark/query12.q.out
index 413930c..b025865 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query12.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query12.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_item_desc
,i_category
,i_class
@@ -30,7 +30,7 @@ order by
,revenueratio
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_item_desc
,i_category
,i_class
@@ -62,6 +62,10 @@ order by
,revenueratio
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -78,18 +82,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-01-12 00:00:00' AND TIMESTAMP'2001-02-11 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 2001-01-11 16:00:00.0, right 2001-02-10 16:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-01-12 00:00:00' AND TIMESTAMP'2001-02-11 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -108,12 +134,22 @@ STAGE PLANS:
alias: web_sales
filterExpr: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -121,6 +157,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2
input vertices:
1 Map 6
@@ -129,9 +169,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 7
@@ -140,21 +193,49 @@ STAGE PLANS:
alias: item
filterExpr: ((i_category) IN ('Jewelry', 'Sports', 'Books') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 12, values Jewelry, Sports, Books), SelectColumnIsNotNull(col 0:int))
predicate: ((i_category) IN ('Jewelry', 'Sports', 'Books') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string), i_item_desc (type: string), i_current_price (type: decimal(7,2)), i_class (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 4, 5, 10, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: decimal(7,2)), _col4 (type: string), _col5 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -178,9 +259,23 @@ STAGE PLANS:
value expressions: _col5 (type: decimal(17,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:decimal(7,2)
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: decimal(7,2))
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -189,14 +284,28 @@ STAGE PLANS:
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: decimal(7,2)), _col5 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: string), VALUE._col3 (type: decimal(7,2)), VALUE._col4 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2, 3, 4, 5]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -217,29 +326,61 @@ STAGE PLANS:
name: sum
window function: GenericUDAFSumHiveDecimal
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorDecimalSum]
+ functionInputExpressions: [col 5:decimal(17,2)]
+ functionNames: [sum]
+ native: true
+ orderExpressions: [col 0:string]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col3 (type: string), _col0 (type: string), _col1 (type: string), _col4 (type: decimal(7,2)), _col5 (type: decimal(17,2)), ((_col5 * 100) / sum_window_0) (type: decimal(38,17)), _col2 (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 1, 0, 4, 5, 8, 2]
+ selectExpressions: DecimalColDivideDecimalColumn(col 7:decimal(21,2), col 6:decimal(27,2))(children: DecimalColMultiplyDecimalScalar(col 5:decimal(17,2), val 100) -> 7:decimal(21,2)) -> 8:decimal(38,17)
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string), _col2 (type: string), _col6 (type: string), _col0 (type: string), _col5 (type: decimal(38,17))
sort order: +++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: decimal(7,2)), _col4 (type: decimal(17,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey3 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(7,2)), VALUE._col1 (type: decimal(17,2)), KEY.reducesinkkey4 (type: decimal(38,17))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 0, 1, 5, 6, 4]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[43/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query19.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query19.q.out b/ql/src/test/results/clientpositive/perf/spark/query19.q.out
index d2994e6..51a403a 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query19.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query19.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
sum(ss_ext_sales_price) ext_price
from date_dim, store_sales, item,customer,customer_address,store
@@ -22,7 +22,7 @@ select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
,i_manufact
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
sum(ss_ext_sales_price) ext_price
from date_dim, store_sales, item,customer,customer_address,store
@@ -46,6 +46,10 @@ select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact,
,i_manufact
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -62,18 +66,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_zip (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 25]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col7 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -94,100 +120,220 @@ STAGE PLANS:
alias: customer
filterExpr: (c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_addr_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_moy = 11) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 8:int, val 11), FilterLongColEqualLongScalar(col 6:int, val 1999), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 11) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_manager_id = 7) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 20:int, val 7), SelectColumnIsNotNull(col 0:int))
predicate: ((i_manager_id = 7) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_brand (type: string), i_manufact_id (type: int), i_manufact (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 8, 13, 14]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: string), _col3 (type: int), _col4 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_zip (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 9]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_item_sk is not null and ss_customer_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 7, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -206,6 +352,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -246,9 +397,23 @@ STAGE PLANS:
value expressions: _col4 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int, col 2:int, col 3:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -256,30 +421,59 @@ STAGE PLANS:
Select Operator
expressions: _col2 (type: int), _col3 (type: string), _col4 (type: decimal(17,2)), _col0 (type: string), _col1 (type: int)
outputColumnNames: _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 4, 0, 1]
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col4 (type: decimal(17,2)), _col5 (type: string), _col6 (type: int), _col2 (type: int), _col3 (type: string)
sort order: -++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey2 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey3 (type: int), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey0 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 1, 3, 4, 0]
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -296,6 +490,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query2.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query2.q.out b/ql/src/test/results/clientpositive/perf/spark/query2.q.out
index f615661..499ecab 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query2.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query2.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with wscs as
(select sold_date_sk
,sales_price
@@ -57,7 +57,7 @@ with wscs as
where d_week_seq1=d_week_seq2-53
order by d_week_seq1
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with wscs as
(select sold_date_sk
,sales_price
@@ -116,6 +116,10 @@ with wscs as
where d_week_seq1=d_week_seq2-53
order by d_week_seq1
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -139,159 +143,348 @@ STAGE PLANS:
alias: web_sales
filterExpr: ws_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ws_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 431992504 Data size: 58579807164 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: cs_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cs_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 23]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 431992504 Data size: 58579807164 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_week_seq (type: int), d_day_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 14]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 4:int))
predicate: ((d_year = 2002) and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: cs_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cs_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 23]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 431992504 Data size: 58579807164 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (d_date_sk is not null and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_week_seq (type: int), d_day_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 14]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 4:int))
predicate: ((d_year = 2001) and d_week_seq is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_week_seq (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: ws_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ws_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 431992504 Data size: 58579807164 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -319,9 +512,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2))
Reducer 11
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 7:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -330,9 +537,18 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 237595882 Data size: 32218894638 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2))
Reducer 12
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -349,6 +565,11 @@ STAGE PLANS:
Statistics: Num rows: 261355475 Data size: 35440784869 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -376,9 +597,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 7:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
@@ -387,9 +622,18 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 237595882 Data size: 32218894638 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -412,13 +656,26 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(20,2)), _col2 (type: decimal(20,2)), _col3 (type: decimal(20,2)), _col4 (type: decimal(20,2)), _col5 (type: decimal(20,2)), _col6 (type: decimal(20,2)), _col7 (type: decimal(20,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: int), VALUE._col0 (type: decimal(20,2)), VALUE._col1 (type: decimal(20,2)), VALUE._col2 (type: decimal(20,2)), VALUE._col3 (type: decimal(20,2)), VALUE._col4 (type: decimal(20,2)), VALUE._col5 (type: decimal(20,2)), VALUE._col6 (type: decimal(20,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7]
Statistics: Num rows: 574982057 Data size: 77969728401 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 574982057 Data size: 77969728401 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query20.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query20.q.out b/ql/src/test/results/clientpositive/perf/spark/query20.q.out
index 86e0e72..17e20a4 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query20.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query20.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_item_desc
,i_category
,i_class
@@ -26,7 +26,7 @@ select i_item_desc
,revenueratio
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_item_desc
,i_category
,i_class
@@ -54,6 +54,10 @@ select i_item_desc
,revenueratio
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -70,18 +74,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-01-12 00:00:00' AND TIMESTAMP'2001-02-11 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 2001-01-11 16:00:00.0, right 2001-02-10 16:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-01-12 00:00:00' AND TIMESTAMP'2001-02-11 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -100,12 +126,22 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 15, 23]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -113,6 +149,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2
input vertices:
1 Map 6
@@ -121,9 +161,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 7
@@ -132,21 +185,49 @@ STAGE PLANS:
alias: item
filterExpr: ((i_category) IN ('Jewelry', 'Sports', 'Books') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 12, values Jewelry, Sports, Books), SelectColumnIsNotNull(col 0:int))
predicate: ((i_category) IN ('Jewelry', 'Sports', 'Books') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string), i_item_desc (type: string), i_current_price (type: decimal(7,2)), i_class (type: string), i_category (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 4, 5, 10, 12]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: decimal(7,2)), _col4 (type: string), _col5 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -170,9 +251,23 @@ STAGE PLANS:
value expressions: _col5 (type: decimal(17,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:decimal(7,2)
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: decimal(7,2))
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -181,14 +276,28 @@ STAGE PLANS:
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: decimal(7,2)), _col5 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: string), VALUE._col3 (type: decimal(7,2)), VALUE._col4 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2, 3, 4, 5]
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -209,29 +318,61 @@ STAGE PLANS:
name: sum
window function: GenericUDAFSumHiveDecimal
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorDecimalSum]
+ functionInputExpressions: [col 5:decimal(17,2)]
+ functionNames: [sum]
+ native: true
+ orderExpressions: [col 0:string]
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col3 (type: string), _col0 (type: string), _col1 (type: string), _col4 (type: decimal(7,2)), _col5 (type: decimal(17,2)), ((_col5 * 100) / sum_window_0) (type: decimal(38,17)), _col2 (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 1, 0, 4, 5, 8, 2]
+ selectExpressions: DecimalColDivideDecimalColumn(col 7:decimal(21,2), col 6:decimal(27,2))(children: DecimalColMultiplyDecimalScalar(col 5:decimal(17,2), val 100) -> 7:decimal(21,2)) -> 8:decimal(38,17)
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string), _col2 (type: string), _col6 (type: string), _col0 (type: string), _col5 (type: decimal(38,17))
sort order: +++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: decimal(7,2)), _col4 (type: decimal(17,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey3 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(7,2)), VALUE._col1 (type: decimal(17,2)), KEY.reducesinkkey4 (type: decimal(38,17))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 0, 1, 5, 6, 4]
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[32/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query39.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query39.q.out b/ql/src/test/results/clientpositive/perf/spark/query39.q.out
index cab0feb..1927d3e 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query39.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query39.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with inv as
(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stdev,mean, case mean when 0 then null else stdev/mean end cov
@@ -24,7 +24,7 @@ where inv1.i_item_sk = inv2.i_item_sk
order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
,inv2.d_moy,inv2.mean, inv2.cov
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with inv as
(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stdev,mean, case mean when 0 then null else stdev/mean end cov
@@ -50,6 +50,10 @@ where inv1.i_item_sk = inv2.i_item_sk
order by inv1.w_warehouse_sk,inv1.i_item_sk,inv1.d_moy,inv1.mean,inv1.cov
,inv2.d_moy,inv2.mean, inv2.cov
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -67,18 +71,40 @@ STAGE PLANS:
alias: warehouse
filterExpr: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: w_warehouse_sk (type: int), w_warehouse_name (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -92,18 +118,40 @@ STAGE PLANS:
alias: warehouse
filterExpr: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: w_warehouse_sk (type: int), w_warehouse_name (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -126,117 +174,260 @@ STAGE PLANS:
alias: inventory
filterExpr: (inv_item_sk is not null and inv_warehouse_sk is not null and inv_date_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 1:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (inv_date_sk is not null and inv_item_sk is not null and inv_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: inv_date_sk (type: int), inv_item_sk (type: int), inv_warehouse_sk (type: int), inv_quantity_on_hand (type: int)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: inventory
filterExpr: (inv_item_sk is not null and inv_warehouse_sk is not null and inv_date_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 1:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (inv_date_sk is not null and inv_item_sk is not null and inv_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: inv_date_sk (type: int), inv_item_sk (type: int), inv_warehouse_sk (type: int), inv_quantity_on_hand (type: int)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 5) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 5), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 5) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 4) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 4), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 4) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -255,6 +446,11 @@ STAGE PLANS:
Reducer 12
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -292,9 +488,23 @@ STAGE PLANS:
value expressions: _col3 (type: bigint), _col4 (type: bigint), _col5 (type: double), _col6 (type: double)
Reducer 13
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFCountMerge(col 4:bigint) -> bigint, VectorUDAFSumDouble(col 5:double) -> double, VectorUDAFSumDouble(col 6:double) -> double
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
@@ -302,21 +512,43 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), _col1 (type: int), _col3 (type: bigint), _col4 (type: bigint), _col5 (type: double), _col6 (type: double)
outputColumnNames: _col0, _col1, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 3, 4, 5, 6]
Statistics: Num rows: 25012152 Data size: 395187961 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsTrue(col 15:boolean)(children: IfExprColumnCondExpr(col 8:boolean, col 9:booleancol 13:boolean)(children: DoubleColEqualLongScalar(col 7:double, val 0)(children: LongColDivideLongColumn(col 3:bigint, col 4:bigint) -> 7:double) -> 8:boolean, ConstantVectorExpression(val 0) -> 9:boolean, DoubleColGreaterDoubleScalar(col 14:double, val 1.0)(children: DoubleColDivideDoubleColumn(col 7:double, col 10:double)(children: FuncPowerDoubleToDouble(col 10:double)(children: DoubleColDivideLongColumn(col 7:double, col 13:bigint)(children: DoubleColSubtractDoubleColumn(col 5:double, col 10:double)(children: DoubleColDivideLongColumn(col 7:double, col 4:bigint)(children: DoubleColMultiplyDoubleColumn(col 6:double, col 6:double) -> 7:double) -> 10:double) -> 7:double, IfExprNullCondExpr(col 11:boolean, null, col 12:bigint)(children: LongColEqualLongScalar(col 4:bigint, val 1) -> 11:boolean, LongColSubtractLongScalar(col 4:bigint, val 1) -> 1
2:bigint) -> 13:bigint) -> 10:double) -> 7:double, LongColDivideLongColumn(col 3:bigint, col 4:bigint) -> 10:double) -> 14:double) -> 13:boolean) -> 15:boolean)
predicate: CASE WHEN (((_col3 / _col4) = 0)) THEN (false) ELSE (((power(((_col5 - ((_col6 * _col6) / _col4)) / CASE WHEN ((_col4 = 1L)) THEN (null) ELSE ((_col4 - 1)) END), 0.5) / (_col3 / _col4)) > 1.0D)) END (type: boolean)
Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: int), _col1 (type: int), (_col3 / _col4) (type: double), CASE WHEN (((_col3 / _col4) = 0)) THEN (null) ELSE ((power(((_col5 - ((_col6 * _col6) / _col4)) / CASE WHEN ((_col4 = 1L)) THEN (null) ELSE ((_col4 - 1)) END), 0.5) / (_col3 / _col4))) END (type: double)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 7, 10]
+ selectExpressions: LongColDivideLongColumn(col 3:bigint, col 4:bigint) -> 7:double, IfExprNullCondExpr(col 16:boolean, null, col 20:double)(children: DoubleColEqualLongScalar(col 10:double, val 0)(children: LongColDivideLongColumn(col 3:bigint, col 4:bigint) -> 10:double) -> 16:boolean, DoubleColDivideDoubleColumn(col 10:double, col 14:double)(children: FuncPowerDoubleToDouble(col 14:double)(children: DoubleColDivideLongColumn(col 10:double, col 19:bigint)(children: DoubleColSubtractDoubleColumn(col 5:double, col 14:double)(children: DoubleColDivideLongColumn(col 10:double, col 4:bigint)(children: DoubleColMultiplyDoubleColumn(col 6:double, col 6:double) -> 10:double) -> 14:double) -> 10:double, IfExprNullCondExpr(col 17:boolean, null, col 18:bigint)(children: LongColEqualLongScalar(col 4:bigint, val 1) -> 17:boolean, LongColSubtractLongScalar(col 4:bigint, val 1) -> 18:bigint) -> 19:bigint) -> 14:double) -> 10:double, LongColDivideLongColumn(col 3:bigint,
col 4:bigint) -> 14:double) -> 20:double) -> 10:double
Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: double), _col3 (type: double)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -335,6 +567,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -372,9 +609,23 @@ STAGE PLANS:
value expressions: _col3 (type: bigint), _col4 (type: bigint), _col5 (type: double), _col6 (type: double)
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFCountMerge(col 4:bigint) -> bigint, VectorUDAFSumDouble(col 5:double) -> double, VectorUDAFSumDouble(col 6:double) -> double
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
@@ -382,21 +633,43 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), _col1 (type: int), _col3 (type: bigint), _col4 (type: bigint), _col5 (type: double), _col6 (type: double)
outputColumnNames: _col0, _col1, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 3, 4, 5, 6]
Statistics: Num rows: 25012152 Data size: 395187961 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsTrue(col 15:boolean)(children: IfExprColumnCondExpr(col 8:boolean, col 9:booleancol 13:boolean)(children: DoubleColEqualLongScalar(col 7:double, val 0)(children: LongColDivideLongColumn(col 3:bigint, col 4:bigint) -> 7:double) -> 8:boolean, ConstantVectorExpression(val 0) -> 9:boolean, DoubleColGreaterDoubleScalar(col 14:double, val 1.0)(children: DoubleColDivideDoubleColumn(col 7:double, col 10:double)(children: FuncPowerDoubleToDouble(col 10:double)(children: DoubleColDivideLongColumn(col 7:double, col 13:bigint)(children: DoubleColSubtractDoubleColumn(col 5:double, col 10:double)(children: DoubleColDivideLongColumn(col 7:double, col 4:bigint)(children: DoubleColMultiplyDoubleColumn(col 6:double, col 6:double) -> 7:double) -> 10:double) -> 7:double, IfExprNullCondExpr(col 11:boolean, null, col 12:bigint)(children: LongColEqualLongScalar(col 4:bigint, val 1) -> 11:boolean, LongColSubtractLongScalar(col 4:bigint, val 1) -> 1
2:bigint) -> 13:bigint) -> 10:double) -> 7:double, LongColDivideLongColumn(col 3:bigint, col 4:bigint) -> 10:double) -> 14:double) -> 13:boolean) -> 15:boolean)
predicate: CASE WHEN (((_col3 / _col4) = 0)) THEN (false) ELSE (((power(((_col5 - ((_col6 * _col6) / _col4)) / CASE WHEN ((_col4 = 1L)) THEN (null) ELSE ((_col4 - 1)) END), 0.5) / (_col3 / _col4)) > 1.0D)) END (type: boolean)
Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: int), _col1 (type: int), (_col3 / _col4) (type: double), CASE WHEN (((_col3 / _col4) = 0)) THEN (null) ELSE ((power(((_col5 - ((_col6 * _col6) / _col4)) / CASE WHEN ((_col4 = 1L)) THEN (null) ELSE ((_col4 - 1)) END), 0.5) / (_col3 / _col4))) END (type: double)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 7, 10]
+ selectExpressions: LongColDivideLongColumn(col 3:bigint, col 4:bigint) -> 7:double, IfExprNullCondExpr(col 16:boolean, null, col 20:double)(children: DoubleColEqualLongScalar(col 10:double, val 0)(children: LongColDivideLongColumn(col 3:bigint, col 4:bigint) -> 10:double) -> 16:boolean, DoubleColDivideDoubleColumn(col 10:double, col 14:double)(children: FuncPowerDoubleToDouble(col 14:double)(children: DoubleColDivideLongColumn(col 10:double, col 19:bigint)(children: DoubleColSubtractDoubleColumn(col 5:double, col 14:double)(children: DoubleColDivideLongColumn(col 10:double, col 4:bigint)(children: DoubleColMultiplyDoubleColumn(col 6:double, col 6:double) -> 10:double) -> 14:double) -> 10:double, IfExprNullCondExpr(col 17:boolean, null, col 18:bigint)(children: LongColEqualLongScalar(col 4:bigint, val 1) -> 17:boolean, LongColSubtractLongScalar(col 4:bigint, val 1) -> 18:bigint) -> 19:bigint) -> 14:double) -> 10:double, LongColDivideLongColumn(col 3:bigint,
col 4:bigint) -> 14:double) -> 20:double) -> 10:double
Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: double), _col3 (type: double)
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -413,13 +686,27 @@ STAGE PLANS:
value expressions: _col4 (type: int), _col5 (type: int)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey1 (type: int), 4 (type: int), KEY.reducesinkkey2 (type: double), KEY.reducesinkkey3 (type: double), VALUE._col0 (type: int), VALUE._col1 (type: int), 5 (type: int), KEY.reducesinkkey4 (type: double), KEY.reducesinkkey5 (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 8, 2, 3, 6, 7, 9, 4, 5]
+ selectExpressions: ConstantVectorExpression(val 4) -> 8:int, ConstantVectorExpression(val 5) -> 9:int
Statistics: Num rows: 13756683 Data size: 217353382 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 13756683 Data size: 217353382 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[45/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query13.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query13.q.out b/ql/src/test/results/clientpositive/perf/spark/query13.q.out
index c9fcb88..8d11ecd 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query13.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query13.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select avg(ss_quantity)
,avg(ss_ext_sales_price)
,avg(ss_ext_wholesale_cost)
@@ -48,7 +48,7 @@ select avg(ss_quantity)
and ss_net_profit between 50 and 250
))
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select avg(ss_quantity)
,avg(ss_ext_sales_price)
,avg(ss_ext_wholesale_cost)
@@ -98,6 +98,10 @@ select avg(ss_quantity)
and ss_net_profit between 50 and 250
))
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -115,18 +119,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col4 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -140,18 +166,40 @@ STAGE PLANS:
alias: household_demographics
filterExpr: ((hd_dep_count) IN (3, 1) and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 3:int, values [3, 1]), SelectColumnIsNotNull(col 0:int))
predicate: ((hd_dep_count) IN (3, 1) and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: hd_demo_sk (type: int), hd_dep_count (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -170,80 +218,177 @@ STAGE PLANS:
alias: store_sales
filterExpr: ((ss_sales_price BETWEEN 100 AND 150 or ss_sales_price BETWEEN 50 AND 100 or ss_sales_price BETWEEN 150 AND 200) and ss_store_sk is not null and ss_cdemo_sk is not null and ss_hdemo_sk is not null and ss_addr_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterDecimal64ColumnBetween(col 13:decimal(7,2)/DECIMAL_64, decimal64LeftVal 10000, decimalLeftVal 10000, decimal64RightVal 15000, decimalRightVal 15000), FilterDecimal64ColumnBetween(col 13:decimal(7,2)/DECIMAL_64, decimal64LeftVal 5000, decimalLeftVal 5000, decimal64RightVal 10000, decimalRightVal 10000), FilterDecimal64ColumnBetween(col 13:decimal(7,2)/DECIMAL_64, decimal64LeftVal 15000, decimalLeftVal 15000, decimal64RightVal 20000, decimalRightVal 20000)), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 5:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 0:int))
predicate: ((ss_sales_price BETWEEN 100 AND 150 or ss_sales_price BETWEEN 50 AND 100 or ss_sales_price BETWEEN 150 AND 200) and ss_addr_sk is not null and ss_cdemo_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 191998545 Data size: 16938167362 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_cdemo_sk (type: int), ss_hdemo_sk (type: int), ss_addr_sk (type: int), ss_store_sk (type: int), ss_quantity (type: int), ss_sales_price (type: decimal(7,2)), ss_ext_sales_price (type: decimal(7,2)), ss_ext_wholesale_cost (type: decimal(7,2)), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 5, 6, 7, 10, 13, 15, 16, 22]
Statistics: Num rows: 191998545 Data size: 16938167362 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 191998545 Data size: 16938167362 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col8 (type: decimal(7,2)), _col9 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: customer_demographics
filterExpr: ((cd_marital_status) IN ('M', 'D', 'U') and (cd_education_status) IN ('4 yr Degree', 'Primary', 'Advanced Degree') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 2, values M, D, U), FilterStringColumnInList(col 3, values 4 yr Degree, Primary, Advanced Degree), SelectColumnIsNotNull(col 0:int))
predicate: ((cd_education_status) IN ('4 yr Degree', 'Primary', 'Advanced Degree') and (cd_marital_status) IN ('M', 'D', 'U') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int), cd_marital_status (type: string), cd_education_status (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3]
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_country = 'United States') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 10:string, val United States), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_country = 'United States') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -262,6 +407,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -293,6 +443,11 @@ STAGE PLANS:
Reducer 4
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -326,18 +481,39 @@ STAGE PLANS:
value expressions: _col0 (type: bigint), _col1 (type: bigint), _col2 (type: decimal(17,2)), _col3 (type: bigint), _col4 (type: decimal(17,2)), _col5 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), sum(VALUE._col2), count(VALUE._col3), sum(VALUE._col4), count(VALUE._col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 0:bigint) -> bigint, VectorUDAFCountMerge(col 1:bigint) -> bigint, VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 3:bigint) -> bigint, VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 5:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: (_col0 / _col1) (type: double), (_col2 / _col3) (type: decimal(37,22)), (_col4 / _col5) (type: decimal(37,22)), CAST( _col4 AS decimal(17,2)) (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [6, 8, 9, 10]
+ selectExpressions: LongColDivideLongColumn(col 0:bigint, col 1:bigint) -> 6:double, DecimalColDivideDecimalColumn(col 2:decimal(17,2), col 7:decimal(19,0))(children: CastLongToDecimal(col 3:bigint) -> 7:decimal(19,0)) -> 8:decimal(37,22), DecimalColDivideDecimalColumn(col 4:decimal(17,2), col 7:decimal(19,0))(children: CastLongToDecimal(col 5:bigint) -> 7:decimal(19,0)) -> 9:decimal(37,22), CastDecimalToDecimal(col 4:decimal(17,2)) -> 10:decimal(17,2)
Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query15.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query15.q.out b/ql/src/test/results/clientpositive/perf/spark/query15.q.out
index 67684f6..d00b1a7 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query15.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query15.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select ca_zip
,sum(cs_sales_price)
from catalog_sales
@@ -17,7 +17,7 @@ select ca_zip
order by ca_zip
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select ca_zip
,sum(cs_sales_price)
from catalog_sales
@@ -36,6 +36,10 @@ select ca_zip
order by ca_zip
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -57,80 +61,177 @@ STAGE PLANS:
alias: customer
filterExpr: (c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_addr_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_state (type: string), ca_zip (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 9]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_bill_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_bill_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int), cs_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 21]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 2), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -147,6 +248,11 @@ STAGE PLANS:
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: string), _col4 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -178,9 +284,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -188,27 +308,52 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: decimal(17,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: decimal(17,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query16.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query16.q.out b/ql/src/test/results/clientpositive/perf/spark/query16.q.out
index b5adc85..c07f8bc 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query16.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query16.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
count(distinct cs_order_number) as `order count`
,sum(cs_ext_ship_cost) as `total shipping cost`
@@ -28,7 +28,7 @@ and not exists(select *
order by count(distinct cs_order_number)
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
count(distinct cs_order_number) as `order count`
,sum(cs_ext_ship_cost) as `total shipping cost`
@@ -58,6 +58,10 @@ and not exists(select *
order by count(distinct cs_order_number)
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -75,18 +79,40 @@ STAGE PLANS:
alias: call_center
filterExpr: ((cc_county) IN ('Ziebach County', 'Levy County', 'Huron County', 'Franklin Parish', 'Daviess County') and cc_call_center_sk is not null) (type: boolean)
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 25, values Ziebach County, Levy County, Huron County, Franklin Parish, Daviess County), SelectColumnIsNotNull(col 0:int))
predicate: ((cc_county) IN ('Ziebach County', 'Levy County', 'Huron County', 'Franklin Parish', 'Daviess County') and cc_call_center_sk is not null) (type: boolean)
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cc_call_center_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -100,18 +126,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-04-01 00:00:00' AND TIMESTAMP'2001-05-31 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 2001-03-31 16:00:00.0, right 2001-05-30 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-04-01 00:00:00' AND TIMESTAMP'2001-05-31 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -133,12 +181,22 @@ STAGE PLANS:
alias: cs1
filterExpr: (cs_ship_date_sk is not null and cs_ship_addr_sk is not null and cs_call_center_sk is not null and cs_order_number is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 10:int), SelectColumnIsNotNull(col 11:int), SelectColumnIsNotNull(col 17:int))
predicate: (cs_call_center_sk is not null and cs_order_number is not null and cs_ship_addr_sk is not null and cs_ship_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_ship_date_sk (type: int), cs_ship_addr_sk (type: int), cs_call_center_sk (type: int), cs_warehouse_sk (type: int), cs_order_number (type: int), cs_ext_ship_cost (type: decimal(7,2)), cs_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 10, 11, 14, 17, 28, 33]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -146,6 +204,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6
input vertices:
1 Map 8
@@ -154,9 +216,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 11
@@ -165,14 +240,31 @@ STAGE PLANS:
alias: cs2
filterExpr: (cs_order_number is not null and cs_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 17:int), SelectColumnIsNotNull(col 14:int))
predicate: (cs_order_number is not null and cs_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_order_number (type: int), cs_warehouse_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [17, 14]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 17:int, col 14:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int), _col1 (type: int)
mode: hash
outputColumnNames: _col0, _col1
@@ -181,19 +273,45 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: cr1
filterExpr: cr_order_number is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 16:int)
predicate: cr_order_number is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 16:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: cr_order_number (type: int)
mode: hash
outputColumnNames: _col0
@@ -202,31 +320,80 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_state = 'NY') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 8:string, val NY), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_state = 'NY') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 13
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
@@ -234,16 +401,30 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), true (type: boolean)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
+ selectExpressions: ConstantVectorExpression(val 1) -> 1:boolean
Statistics: Num rows: 14399440 Data size: 1528617286 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14399440 Data size: 1528617286 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: boolean)
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -270,6 +451,11 @@ STAGE PLANS:
Statistics: Num rows: 383314495 Data size: 51908482889 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -291,6 +477,11 @@ STAGE PLANS:
Statistics: Num rows: 421645953 Data size: 57099332415 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -321,52 +512,114 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 231905279 Data size: 31404633508 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count(_col0), sum(_col1), sum(_col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 0:int) -> bigint, VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: PARTIAL2
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1, 2]
mode: partial2
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint), _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint, VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2]
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col0 (type: bigint)
outputColumnNames: _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 2, 0]
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col3 (type: bigint)
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2))
Reducer 7
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: bigint), VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[23/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query56.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query56.q.out b/ql/src/test/results/clientpositive/perf/spark/query56.q.out
index e03574f..40c02ec 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query56.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query56.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with ss as (
select i_item_id,sum(ss_ext_sales_price) total_sales
from
@@ -65,7 +65,7 @@ where i_color in ('orchid','chiffon','lace'))
order by total_sales
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with ss as (
select i_item_id,sum(ss_ext_sales_price) total_sales
from
@@ -132,6 +132,10 @@ where i_color in ('orchid','chiffon','lace'))
order by total_sales
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -166,72 +170,158 @@ STAGE PLANS:
alias: item
filterExpr: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 1:string), SelectColumnIsNotNull(col 0:int))
predicate: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2000) and (d_moy = 1) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterLongColEqualLongScalar(col 8:int, val 1), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 1) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_gmt_offset = -8) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 11:decimal(5,2)/DECIMAL_64, val -800), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_gmt_offset = -8) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_color) IN ('orchid', 'chiffon', 'lace') and i_item_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 17, values orchid, chiffon, lace), SelectColumnIsNotNull(col 1:string))
predicate: ((i_color) IN ('orchid', 'chiffon', 'lace') and i_item_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_id (type: string)
outputColumnNames: i_item_id
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 1:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: i_item_id (type: string)
mode: hash
outputColumnNames: _col0
@@ -240,127 +330,283 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_sold_date_sk is not null and cs_bill_addr_sk is not null and cs_item_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 15:int))
predicate: (cs_bill_addr_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_addr_sk (type: int), cs_item_sk (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 15, 23]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 1:string), SelectColumnIsNotNull(col 0:int))
predicate: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 31
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_bill_addr_sk is not null and ws_item_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 3:int))
predicate: (ws_bill_addr_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_bill_addr_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 7, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 34
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2000) and (d_moy = 1) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), FilterLongColEqualLongScalar(col 8:int, val 1), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 1) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 35
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_gmt_offset = -8) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 11:decimal(5,2)/DECIMAL_64, val -800), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_gmt_offset = -8) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_addr_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_addr_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_addr_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 6, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -377,6 +623,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: decimal(7,2))
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -397,6 +648,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: decimal(7,2))
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -413,6 +669,11 @@ STAGE PLANS:
Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -436,15 +697,37 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 17
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string)
mode: hash
outputColumnNames: _col0, _col1
@@ -453,12 +736,29 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 670816147 Data size: 72801917426 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(27,2))
Reducer 19
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -467,8 +767,17 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reducer 21
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -485,6 +794,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -505,6 +819,11 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: decimal(7,2))
Reducer 26
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -521,6 +840,11 @@ STAGE PLANS:
Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Reducer 27
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -544,15 +868,37 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 28
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 95833781 Data size: 13030622757 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string)
mode: hash
outputColumnNames: _col0, _col1
@@ -561,9 +907,18 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 670816147 Data size: 72801917426 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(27,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -587,8 +942,21 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 30
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -597,8 +965,17 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reducer 32
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -615,6 +992,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: decimal(7,2))
Reducer 33
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -636,15 +1018,37 @@ STAGE PLANS:
value expressions: _col5 (type: decimal(7,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string)
mode: hash
outputColumnNames: _col0, _col1
@@ -653,13 +1057,31 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 670816147 Data size: 72801917426 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(27,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(27,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -667,21 +1089,41 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col1 (type: decimal(27,2))
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 335408073 Data size: 36400958658 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col0 (type: string)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: string), KEY.reducesinkkey0 (type: decimal(27,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
Statistics: Num rows: 335408073 Data size: 36400958658 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[10/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query75.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query75.q.out b/ql/src/test/results/clientpositive/perf/spark/query75.q.out
index 54c3c69..b9bd5b0 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query75.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query75.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
WITH all_sales AS (
SELECT d_year
,i_brand_id
@@ -67,7 +67,7 @@ WITH all_sales AS (
ORDER BY sales_cnt_diff
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
WITH all_sales AS (
SELECT d_year
,i_brand_id
@@ -136,6 +136,10 @@ WITH all_sales AS (
ORDER BY sales_cnt_diff
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -176,319 +180,692 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_order_number (type: int), cs_quantity (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 15, 17, 18, 23]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 12:string, val Sports), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 11:int), SelectColumnIsNotNull(col 13:int))
predicate: ((i_category = 'Sports') and i_brand_id is not null and i_category_id is not null and i_class_id is not null and i_item_sk is not null and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_class_id (type: int), i_category_id (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 9, 11, 13]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col5 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: catalog_returns
filterExpr: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_item_sk (type: int), cr_order_number (type: int), cr_return_quantity (type: int), cr_return_amount (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 16, 17, 18]
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ticket_number (type: int), ss_quantity (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 9, 10, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 16
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: sr_item_sk is not null (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: sr_item_sk is not null (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_item_sk (type: int), sr_ticket_number (type: int), sr_return_quantity (type: int), sr_return_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 9, 10, 11]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_order_number (type: int), ws_quantity (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 17, 18, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: wr_item_sk is not null (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: wr_item_sk is not null (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wr_item_sk (type: int), wr_order_number (type: int), wr_return_quantity (type: int), wr_return_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 13, 14, 15]
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 26
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_order_number (type: int), cs_quantity (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 15, 17, 18, 23]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 32
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 33
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 12:string, val Sports), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 11:int), SelectColumnIsNotNull(col 13:int))
predicate: ((i_category = 'Sports') and i_brand_id is not null and i_category_id is not null and i_class_id is not null and i_item_sk is not null and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_class_id (type: int), i_category_id (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 9, 11, 13]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col5 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 34
Map Operator Tree:
TableScan
alias: catalog_returns
filterExpr: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_item_sk (type: int), cr_order_number (type: int), cr_return_quantity (type: int), cr_return_amount (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 16, 17, 18]
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 35
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ticket_number (type: int), ss_quantity (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 9, 10, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 41
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: sr_item_sk is not null (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: sr_item_sk is not null (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_item_sk (type: int), sr_ticket_number (type: int), sr_return_quantity (type: int), sr_return_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 9, 10, 11]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 42
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_order_number (type: int), ws_quantity (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 17, 18, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 48
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: wr_item_sk is not null (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: wr_item_sk is not null (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wr_item_sk (type: int), wr_order_number (type: int), wr_return_quantity (type: int), wr_return_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 13, 14, 15]
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 13
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -505,6 +882,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -521,6 +903,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2)), _col8 (type: int), _col9 (type: int), _col10 (type: int), _col12 (type: int)
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -542,6 +929,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(8,2))
Statistics: Num rows: 1149964734 Data size: 119542589565 Basic stats: COMPLETE Column stats: NONE
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -558,6 +950,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 20
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -574,6 +971,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 21
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -590,6 +992,11 @@ STAGE PLANS:
Statistics: Num rows: 174243235 Data size: 23692040863 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2)), _col8 (type: int), _col9 (type: int), _col10 (type: int), _col12 (type: int)
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -611,6 +1018,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int)
Statistics: Num rows: 766649929 Data size: 85832540296 Basic stats: COMPLETE Column stats: NONE
Reducer 27
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -627,6 +1039,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 28
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -643,6 +1060,11 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2)), _col8 (type: int), _col9 (type: int), _col10 (type: int), _col12 (type: int)
Reducer 29
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -664,6 +1086,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(8,2))
Statistics: Num rows: 1149964734 Data size: 119542589565 Basic stats: COMPLETE Column stats: NONE
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -681,13 +1108,33 @@ STAGE PLANS:
value expressions: _col3 (type: int), _col4 (type: decimal(7,2)), _col8 (type: int), _col9 (type: int), _col10 (type: int), _col12 (type: int)
Reducer 30
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:int, col 3:int, col 4:int, col 5:decimal(8,2)
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: int), KEY._col4 (type: int), KEY._col5 (type: decimal(8,2))
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
Statistics: Num rows: 574982367 Data size: 59771294782 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:int, col 1:int, col 2:int, col 3:int, col 4:int, col 5:decimal(8,2)
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(8,2))
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -696,17 +1143,42 @@ STAGE PLANS:
key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(8,2))
sort order: ++++++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 766649929 Data size: 85832540296 Basic stats: COMPLETE Column stats: NONE
Reducer 31
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:int, col 3:int, col 4:int, col 5:decimal(8,2)
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: int), KEY._col4 (type: int), KEY._col5 (type: decimal(8,2))
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
Statistics: Num rows: 383324964 Data size: 42916270092 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col4), sum(_col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 4:int) -> bigint, VectorUDAFSumDecimal(col 5:decimal(8,2)) -> decimal(18,2)
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:int, col 1:int, col 2:int, col 3:int
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -715,9 +1187,18 @@ STAGE PLANS:
key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int)
sort order: ++++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 191662482 Data size: 21458135046 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: bigint), _col5 (type: decimal(18,2))
Reducer 36
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -734,6 +1215,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 37
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -750,6 +1236,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2)), _col8 (type: int), _col9 (type: int), _col10 (type: int), _col12 (type: int)
Reducer 38
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -771,6 +1262,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(8,2))
Statistics: Num rows: 1149964734 Data size: 119542589565 Basic stats: COMPLETE Column stats: NONE
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -792,6 +1288,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(8,2))
Statistics: Num rows: 1149964734 Data size: 119542589565 Basic stats: COMPLETE Column stats: NONE
Reducer 43
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -808,6 +1309,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Reducer 44
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -824,6 +1330,11 @@ STAGE PLANS:
Statistics: Num rows: 174243235 Data size: 23692040863 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: decimal(7,2)), _col8 (type: int), _col9 (type: int), _col10 (type: int), _col12 (type: int)
Reducer 45
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -846,13 +1357,33 @@ STAGE PLANS:
Statistics: Num rows: 766649929 Data size: 85832540296 Basic stats: COMPLETE Column stats: NONE
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:int, col 3:int, col 4:int, col 5:decimal(8,2)
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: int), KEY._col4 (type: int), KEY._col5 (type: decimal(8,2))
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
Statistics: Num rows: 574982367 Data size: 59771294782 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:int, col 1:int, col 2:int, col 3:int, col 4:int, col 5:decimal(8,2)
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(8,2))
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -861,17 +1392,42 @@ STAGE PLANS:
key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(8,2))
sort order: ++++++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 766649929 Data size: 85832540296 Basic stats: COMPLETE Column stats: NONE
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:int, col 3:int, col 4:int, col 5:decimal(8,2)
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: int), KEY._col4 (type: int), KEY._col5 (type: decimal(8,2))
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
Statistics: Num rows: 383324964 Data size: 42916270092 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col4), sum(_col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 4:int) -> bigint, VectorUDAFSumDecimal(col 5:decimal(8,2)) -> decimal(18,2)
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:int, col 1:int, col 2:int, col 3:int
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -880,9 +1436,18 @@ STAGE PLANS:
key expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int)
sort order: ++++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 191662482 Data size: 21458135046 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: bigint), _col5 (type: decimal(18,2))
Reducer 7
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -907,20 +1472,41 @@ STAGE PLANS:
value expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: bigint), _col5 (type: bigint), _col7 (type: decimal(19,2))
Reducer 8
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), VALUE._col1 (type: int), VALUE._col2 (type: int), VALUE._col3 (type: int), VALUE._col4 (type: bigint), VALUE._col5 (type: bigint), KEY.reducesinkkey0 (type: bigint), VALUE._col6 (type: decimal(19,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 2, 3, 4, 5, 6, 0, 7]
Statistics: Num rows: 70276244 Data size: 7867982946 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 11100 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: 2001 (type: int), 2002 (type: int), _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: bigint), _col5 (type: bigint), _col6 (type: bigint), _col7 (type: decimal(19,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [8, 9, 1, 2, 3, 4, 5, 6, 0, 7]
+ selectExpressions: ConstantVectorExpression(val 2001) -> 8:int, ConstantVectorExpression(val 2002) -> 9:int
Statistics: Num rows: 100 Data size: 11100 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 11100 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[13/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query70.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query70.q.out b/ql/src/test/results/clientpositive/perf/spark/query70.q.out
index 4222b52..b719cdb 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query70.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query70.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
sum(ss_net_profit) as total_sum
,s_state
@@ -35,7 +35,7 @@ select
,rank_within_parent
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
sum(ss_net_profit) as total_sum
,s_state
@@ -72,6 +72,10 @@ select
,rank_within_parent
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -89,18 +93,40 @@ STAGE PLANS:
alias: store
filterExpr: (s_state is not null and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 24:string), SelectColumnIsNotNull(col 0:int))
predicate: (s_state is not null and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_county (type: string), s_state (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 23, 24]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -114,18 +140,40 @@ STAGE PLANS:
alias: store
filterExpr: (s_store_sk is not null and s_state is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 24:string))
predicate: (s_state is not null and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 24]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -148,81 +196,178 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_store_sk (type: int), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 22]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: d1
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_store_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_store_sk (type: int), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 22]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -256,9 +401,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 11
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -267,14 +426,29 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: decimal(17,2))
sort order: +-
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: No PTF TopN IS false
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: decimal(17,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -296,22 +470,47 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [col 1:decimal(17,2)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [col 1:decimal(17,2)]
+ partitionExpressions: [col 0:string]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColLessEqualLongScalar(col 2:int, val 5)
predicate: (rank_window_0 <= 5) (type: boolean)
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -338,6 +537,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col6 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -365,9 +569,23 @@ STAGE PLANS:
value expressions: _col3 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: true
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:bigint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3
@@ -375,19 +593,38 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(17,2)), _col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 3, 2]
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (CAST( null AS STRING)) END (type: string), _col2 (type: decimal(17,2))
sort order: ++-
Map-reduce partition columns: (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (CAST( null AS STRING)) END (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyExpressions: LongColAddLongColumn(col 4:bigint, col 5:bigint)(children: VectorUDFAdaptor(grouping(_col3, 1)) -> 4:bigint, VectorUDFAdaptor(grouping(_col3, 0)) -> 5:bigint) -> 6:bigint, IfExprColumnNull(col 5:boolean, col 0:string, null)(children: LongColEqualLongScalar(col 4:bigint, val 0)(children: VectorUDFAdaptor(grouping(_col3, 0)) -> 4:bigint) -> 5:boolean, col 0:string) -> 7:string
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: string), _col1 (type: string), _col3 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: true
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), KEY.reducesinkkey2 (type: decimal(17,2)), VALUE._col2 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 4, 2, 5]
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -409,29 +646,62 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [col 2:decimal(17,2)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [col 2:decimal(17,2)]
+ partitionExpressions: [LongColAddLongColumn(col 7:bigint, col 8:bigint)(children: VectorUDFAdaptor(grouping(_col3, 1)) -> 7:bigint, VectorUDFAdaptor(grouping(_col3, 0)) -> 8:bigint) -> 9:bigint, IfExprColumnNull(col 8:boolean, col 3:string, null)(children: LongColEqualLongScalar(col 7:bigint, val 0)(children: VectorUDFAdaptor(grouping(_col3, 0)) -> 7:bigint) -> 8:boolean, col 3:string) -> 10:string]
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col2 (type: decimal(17,2)), _col0 (type: string), _col1 (type: string), (grouping(_col3, 1) + grouping(_col3, 0)) (type: bigint), rank_window_0 (type: int), CASE WHEN (((grouping(_col3, 1) + grouping(_col3, 0)) = 0)) THEN (_col0) ELSE (null) END (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3, 4, 12, 6, 14]
+ selectExpressions: LongColAddLongColumn(col 7:bigint, col 11:bigint)(children: VectorUDFAdaptor(grouping(_col3, 1)) -> 7:bigint, VectorUDFAdaptor(grouping(_col3, 0)) -> 11:bigint) -> 12:bigint, IfExprColumnNull(col 7:boolean, col 3:string, null)(children: LongColEqualLongScalar(col 13:bigint, val 0)(children: LongColAddLongColumn(col 7:bigint, col 11:bigint)(children: VectorUDFAdaptor(grouping(_col3, 1)) -> 7:bigint, VectorUDFAdaptor(grouping(_col3, 0)) -> 11:bigint) -> 13:bigint) -> 7:boolean, col 3:string) -> 14:string
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col3 (type: bigint), _col5 (type: string), _col4 (type: int)
sort order: -++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col0 (type: decimal(17,2)), _col1 (type: string), _col2 (type: string)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: bigint), KEY.reducesinkkey2 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 4, 5, 0, 2]
Statistics: Num rows: 1149975358 Data size: 101451159969 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query71.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query71.q.out b/ql/src/test/results/clientpositive/perf/spark/query71.q.out
index eded78c..2ec7b12 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query71.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query71.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
sum(ext_price) ext_price
from item, (select ws_ext_sales_price as ext_price,
@@ -36,7 +36,7 @@ select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
group by i_brand, i_brand_id,t_hour,t_minute
order by ext_price desc, i_brand_id
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
sum(ext_price) ext_price
from item, (select ws_ext_sales_price as ext_price,
@@ -74,6 +74,10 @@ select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
group by i_brand, i_brand_id,t_hour,t_minute
order by ext_price desc, i_brand_id
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -97,139 +101,305 @@ STAGE PLANS:
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_item_sk is not null and ws_sold_time_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 1:int))
predicate: (ws_item_sk is not null and ws_sold_date_sk is not null and ws_sold_time_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_sold_time_sk (type: int), ws_item_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 3, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_moy = 12) and (d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 8:int, val 12), FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 12) and (d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_item_sk is not null and ss_sold_time_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 1:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_sold_time_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_sold_time_sk (type: int), ss_item_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_moy = 12) and (d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 8:int, val 12), FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 12) and (d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_manager_id = 1) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 20:int, val 1), SelectColumnIsNotNull(col 0:int))
predicate: ((i_manager_id = 1) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand_id (type: int), i_brand (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 8]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: time_dim
filterExpr: ((t_meal_time) IN ('breakfast', 'dinner') and t_time_sk is not null) (type: boolean)
Statistics: Num rows: 86400 Data size: 40694400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 9, values breakfast, dinner), SelectColumnIsNotNull(col 0:int))
predicate: ((t_meal_time) IN ('breakfast', 'dinner') and t_time_sk is not null) (type: boolean)
Statistics: Num rows: 86400 Data size: 40694400 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: t_time_sk (type: int), t_hour (type: int), t_minute (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 4]
Statistics: Num rows: 86400 Data size: 40694400 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 86400 Data size: 40694400 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_sold_date_sk is not null and cs_item_sk is not null and cs_sold_time_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 1:int))
predicate: (cs_item_sk is not null and cs_sold_date_sk is not null and cs_sold_time_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_sold_time_sk (type: int), cs_item_sk (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 15, 23]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 12
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -247,6 +417,11 @@ STAGE PLANS:
Statistics: Num rows: 1108786976 Data size: 120333742785 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(7,2)), _col2 (type: int)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -264,6 +439,11 @@ STAGE PLANS:
Statistics: Num rows: 1108786976 Data size: 120333742785 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(7,2)), _col2 (type: int)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -280,6 +460,11 @@ STAGE PLANS:
Statistics: Num rows: 1219665700 Data size: 132367119932 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(7,2)), _col4 (type: int), _col5 (type: string)
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -303,9 +488,23 @@ STAGE PLANS:
value expressions: _col4 (type: decimal(17,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int, col 2:int, col 3:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4
@@ -313,27 +512,53 @@ STAGE PLANS:
Select Operator
expressions: _col3 (type: string), _col1 (type: int), _col2 (type: int), _col4 (type: decimal(17,2)), _col0 (type: int)
outputColumnNames: _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 1, 2, 4, 0]
Statistics: Num rows: 670816149 Data size: 72801917486 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col4 (type: decimal(17,2)), _col5 (type: int)
sort order: -+
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 670816149 Data size: 72801917486 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: int), _col3 (type: int)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey1 (type: int), VALUE._col0 (type: string), VALUE._col1 (type: int), VALUE._col2 (type: int), KEY.reducesinkkey0 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 2, 3, 4, 0]
Statistics: Num rows: 670816149 Data size: 72801917486 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 670816149 Data size: 72801917486 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
[06/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query8.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query8.q.out b/ql/src/test/results/clientpositive/perf/spark/query8.q.out
index 6b14eb9..c231df7 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query8.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query8.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select s_store_name
,sum(ss_net_profit)
from store_sales
@@ -105,7 +105,7 @@ select s_store_name
order by s_store_name
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select s_store_name
,sum(ss_net_profit)
from store_sales
@@ -212,6 +212,10 @@ select s_store_name
order by s_store_name
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-3 is a root stage
Stage-2 depends on stages: Stage-3
@@ -235,34 +239,76 @@ STAGE PLANS:
alias: customer
filterExpr: ((c_preferred_cust_flag = 'Y') and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 10:string, val Y), SelectColumnIsNotNull(col 4:int))
predicate: ((c_preferred_cust_flag = 'Y') and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 34400807926 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_current_addr_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
Statistics: Num rows: 40000000 Data size: 34400807926 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 34400807926 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((substr(ca_zip, 1, 5)) IN ('89436', '30868', '65085', '22977', '83927', '77557', '58429', '40697', '80614', '10502', '32779', '91137', '61265', '98294', '17921', '18427', '21203', '59362', '87291', '84093', '21505', '17184', '10866', '67898', '25797', '28055', '18377', '80332', '74535', '21757', '29742', '90885', '29898', '17819', '40811', '25990', '47513', '89531', '91068', '10391', '18846', '99223', '82637', '41368', '83658', '86199', '81625', '26696', '89338', '88425', '32200', '81427', '19053', '77471', '36610', '99823', '43276', '41249', '48584', '83550', '82276', '18842', '78890', '14090', '38123', '40936', '34425', '19850', '43286', '80072', '79188', '54191', '11395', '50497', '84861', '90733', '21068', '57666', '37119', '25004', '57835', '70067', '62878', '95806', '19303', '18840', '19124', '29785', '16737', '16022', '49613', '89977', '68310', '60069', '98360', '48649', '39050', '41793', '25002', '27413', '39736', '47208', '16515', '94808', '57
648', '15009', '80015', '42961', '63982', '21744', '71853', '81087', '67468', '34175', '64008', '20261', '11201', '51799', '48043', '45645', '61163', '48375', '36447', '57042', '21218', '41100', '89951', '22745', '35851', '83326', '61125', '78298', '80752', '49858', '52940', '96976', '63792', '11376', '53582', '18717', '90226', '50530', '94203', '99447', '27670', '96577', '57856', '56372', '16165', '23427', '54561', '28806', '44439', '22926', '30123', '61451', '92397', '56979', '92309', '70873', '13355', '21801', '46346', '37562', '56458', '28286', '47306', '99555', '69399', '26234', '47546', '49661', '88601', '35943', '39936', '25632', '24611', '44166', '56648', '30379', '59785', '11110', '14329', '93815', '52226', '71381', '13842', '25612', '63294', '14664', '21077', '82626', '18799', '60915', '81020', '56447', '76619', '11433', '13414', '42548', '92713', '70467', '30884', '47484', '16072', '38936', '13036', '88376', '45539', '35901', '19506', '65690', '73957', '71850', '49231', '
14276', '20005', '18384', '76615', '11635', '38177', '55607', '41369', '95447', '58581', '58149', '91946', '33790', '76232', '75692', '95464', '22246', '51061', '56692', '53121', '77209', '15482', '10688', '14868', '45907', '73520', '72666', '25734', '17959', '24677', '66446', '94627', '53535', '15560', '41967', '69297', '11929', '59403', '33283', '52232', '57350', '43933', '40921', '36635', '10827', '71286', '19736', '80619', '25251', '95042', '15526', '36496', '55854', '49124', '81980', '35375', '49157', '63512', '28944', '14946', '36503', '54010', '18767', '23969', '43905', '66979', '33113', '21286', '58471', '59080', '13395', '79144', '70373', '67031', '38360', '26705', '50906', '52406', '26066', '73146', '15884', '31897', '30045', '61068', '45550', '92454', '13376', '14354', '19770', '22928', '97790', '50723', '46081', '30202', '14410', '20223', '88500', '67298', '13261', '14172', '81410', '93578', '83583', '46047', '94167', '82564', '21156', '15799', '86709', '37931', '74703',
'83103', '23054', '70470', '72008', '49247', '91911', '69998', '20961', '70070', '63197', '54853', '88191', '91830', '49521', '19454', '81450', '89091', '62378', '25683', '61869', '51744', '36580', '85778', '36871', '48121', '28810', '83712', '45486', '67393', '26935', '42393', '20132', '55349', '86057', '21309', '80218', '10094', '11357', '48819', '39734', '40758', '30432', '21204', '29467', '30214', '61024', '55307', '74621', '11622', '68908', '33032', '52868', '99194', '99900', '84936', '69036', '99149', '45013', '32895', '59004', '32322', '14933', '32936', '33562', '72550', '27385', '58049', '58200', '16808', '21360', '32961', '18586', '79307', '15492') and substr(substr(ca_zip, 1, 5), 1, 2) is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 14, values 89436, 30868, 65085, 22977, 83927, 77557, 58429, 40697, 80614, 10502, 32779, 91137, 61265, 98294, 17921, 18427, 21203, 59362, 87291, 84093, 21505, 17184, 10866, 67898, 25797, 28055, 18377, 80332, 74535, 21757, 29742, 90885, 29898, 17819, 40811, 25990, 47513, 89531, 91068, 10391, 18846, 99223, 82637, 41368, 83658, 86199, 81625, 26696, 89338, 88425, 32200, 81427, 19053, 77471, 36610, 99823, 43276, 41249, 48584, 83550, 82276, 18842, 78890, 14090, 38123, 40936, 34425, 19850, 43286, 80072, 79188, 54191, 11395, 50497, 84861, 90733, 21068, 57666, 37119, 25004, 57835, 70067, 62878, 95806, 19303, 18840, 19124, 29785, 16737, 16022, 49613, 89977, 68310, 60069, 98360, 48649, 39050, 41793, 25002, 27413, 39736, 47208, 16515, 94808, 57648, 15009, 80015, 42961, 63982, 21744, 71853, 81087, 67468, 34175, 64008, 20261, 11201, 51799, 48043, 45645, 61163, 48375, 36447, 57042, 21218, 41100, 89
951, 22745, 35851, 83326, 61125, 78298, 80752, 49858, 52940, 96976, 63792, 11376, 53582, 18717, 90226, 50530, 94203, 99447, 27670, 96577, 57856, 56372, 16165, 23427, 54561, 28806, 44439, 22926, 30123, 61451, 92397, 56979, 92309, 70873, 13355, 21801, 46346, 37562, 56458, 28286, 47306, 99555, 69399, 26234, 47546, 49661, 88601, 35943, 39936, 25632, 24611, 44166, 56648, 30379, 59785, 11110, 14329, 93815, 52226, 71381, 13842, 25612, 63294, 14664, 21077, 82626, 18799, 60915, 81020, 56447, 76619, 11433, 13414, 42548, 92713, 70467, 30884, 47484, 16072, 38936, 13036, 88376, 45539, 35901, 19506, 65690, 73957, 71850, 49231, 14276, 20005, 18384, 76615, 11635, 38177, 55607, 41369, 95447, 58581, 58149, 91946, 33790, 76232, 75692, 95464, 22246, 51061, 56692, 53121, 77209, 15482, 10688, 14868, 45907, 73520, 72666, 25734, 17959, 24677, 66446, 94627, 53535, 15560, 41967, 69297, 11929, 59403, 33283, 52232, 57350, 43933, 40921, 36635, 10827, 71286, 19736, 80619, 25251, 95042, 15526, 36496, 55854, 49124
, 81980, 35375, 49157, 63512, 28944, 14946, 36503, 54010, 18767, 23969, 43905, 66979, 33113, 21286, 58471, 59080, 13395, 79144, 70373, 67031, 38360, 26705, 50906, 52406, 26066, 73146, 15884, 31897, 30045, 61068, 45550, 92454, 13376, 14354, 19770, 22928, 97790, 50723, 46081, 30202, 14410, 20223, 88500, 67298, 13261, 14172, 81410, 93578, 83583, 46047, 94167, 82564, 21156, 15799, 86709, 37931, 74703, 83103, 23054, 70470, 72008, 49247, 91911, 69998, 20961, 70070, 63197, 54853, 88191, 91830, 49521, 19454, 81450, 89091, 62378, 25683, 61869, 51744, 36580, 85778, 36871, 48121, 28810, 83712, 45486, 67393, 26935, 42393, 20132, 55349, 86057, 21309, 80218, 10094, 11357, 48819, 39734, 40758, 30432, 21204, 29467, 30214, 61024, 55307, 74621, 11622, 68908, 33032, 52868, 99194, 99900, 84936, 69036, 99149, 45013, 32895, 59004, 32322, 14933, 32936, 33562, 72550, 27385, 58049, 58200, 16808, 21360, 32961, 18586, 79307, 15492)(children: StringSubstrColStartLen(col 9:string, start 0, length 5) -> 14:strin
g), SelectColumnIsNotNull(col 15:string)(children: StringSubstrColStartLen(col 14:string, start 0, length 2)(children: StringSubstrColStartLen(col 9:string, start 0, length 5) -> 14:string) -> 15:string))
predicate: ((substr(ca_zip, 1, 5)) IN ('89436', '30868', '65085', '22977', '83927', '77557', '58429', '40697', '80614', '10502', '32779', '91137', '61265', '98294', '17921', '18427', '21203', '59362', '87291', '84093', '21505', '17184', '10866', '67898', '25797', '28055', '18377', '80332', '74535', '21757', '29742', '90885', '29898', '17819', '40811', '25990', '47513', '89531', '91068', '10391', '18846', '99223', '82637', '41368', '83658', '86199', '81625', '26696', '89338', '88425', '32200', '81427', '19053', '77471', '36610', '99823', '43276', '41249', '48584', '83550', '82276', '18842', '78890', '14090', '38123', '40936', '34425', '19850', '43286', '80072', '79188', '54191', '11395', '50497', '84861', '90733', '21068', '57666', '37119', '25004', '57835', '70067', '62878', '95806', '19303', '18840', '19124', '29785', '16737', '16022', '49613', '89977', '68310', '60069', '98360', '48649', '39050', '41793', '25002', '27413', '39736', '47208', '16515', '94808', '5
7648', '15009', '80015', '42961', '63982', '21744', '71853', '81087', '67468', '34175', '64008', '20261', '11201', '51799', '48043', '45645', '61163', '48375', '36447', '57042', '21218', '41100', '89951', '22745', '35851', '83326', '61125', '78298', '80752', '49858', '52940', '96976', '63792', '11376', '53582', '18717', '90226', '50530', '94203', '99447', '27670', '96577', '57856', '56372', '16165', '23427', '54561', '28806', '44439', '22926', '30123', '61451', '92397', '56979', '92309', '70873', '13355', '21801', '46346', '37562', '56458', '28286', '47306', '99555', '69399', '26234', '47546', '49661', '88601', '35943', '39936', '25632', '24611', '44166', '56648', '30379', '59785', '11110', '14329', '93815', '52226', '71381', '13842', '25612', '63294', '14664', '21077', '82626', '18799', '60915', '81020', '56447', '76619', '11433', '13414', '42548', '92713', '70467', '30884', '47484', '16072', '38936', '13036', '88376', '45539', '35901', '19506', '65690', '73957', '71850', '49231',
'14276', '20005', '18384', '76615', '11635', '38177', '55607', '41369', '95447', '58581', '58149', '91946', '33790', '76232', '75692', '95464', '22246', '51061', '56692', '53121', '77209', '15482', '10688', '14868', '45907', '73520', '72666', '25734', '17959', '24677', '66446', '94627', '53535', '15560', '41967', '69297', '11929', '59403', '33283', '52232', '57350', '43933', '40921', '36635', '10827', '71286', '19736', '80619', '25251', '95042', '15526', '36496', '55854', '49124', '81980', '35375', '49157', '63512', '28944', '14946', '36503', '54010', '18767', '23969', '43905', '66979', '33113', '21286', '58471', '59080', '13395', '79144', '70373', '67031', '38360', '26705', '50906', '52406', '26066', '73146', '15884', '31897', '30045', '61068', '45550', '92454', '13376', '14354', '19770', '22928', '97790', '50723', '46081', '30202', '14410', '20223', '88500', '67298', '13261', '14172', '81410', '93578', '83583', '46047', '94167', '82564', '21156', '15799', '86709', '37931', '74703'
, '83103', '23054', '70470', '72008', '49247', '91911', '69998', '20961', '70070', '63197', '54853', '88191', '91830', '49521', '19454', '81450', '89091', '62378', '25683', '61869', '51744', '36580', '85778', '36871', '48121', '28810', '83712', '45486', '67393', '26935', '42393', '20132', '55349', '86057', '21309', '80218', '10094', '11357', '48819', '39734', '40758', '30432', '21204', '29467', '30214', '61024', '55307', '74621', '11622', '68908', '33032', '52868', '99194', '99900', '84936', '69036', '99149', '45013', '32895', '59004', '32322', '14933', '32936', '33562', '72550', '27385', '58049', '58200', '16808', '21360', '32961', '18586', '79307', '15492') and substr(substr(ca_zip, 1, 5), 1, 2) is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: substr(ca_zip, 1, 5) (type: string)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [14]
+ selectExpressions: StringSubstrColStartLen(col 9:string, start 0, length 5) -> 14:string
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 14:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string)
mode: hash
outputColumnNames: _col0, _col1
@@ -271,30 +317,71 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: (ca_address_sk is not null and substr(substr(ca_zip, 1, 5), 1, 2) is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 15:string)(children: StringSubstrColStartLen(col 14:string, start 0, length 2)(children: StringSubstrColStartLen(col 9:string, start 0, length 5) -> 14:string) -> 15:string))
predicate: (ca_address_sk is not null and substr(substr(ca_zip, 1, 5), 1, 2) is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_zip (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 9]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -318,22 +405,53 @@ STAGE PLANS:
value expressions: _col1 (type: bigint)
Reducer 11
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 22000000 Data size: 22327357890 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColGreaterLongScalar(col 1:bigint, val 10)
predicate: (_col1 > 10L) (type: boolean)
Statistics: Num rows: 7333333 Data size: 7442452291 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: substr(_col0, 1, 5) (type: string)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2]
+ selectExpressions: StringSubstrColStartLen(col 0:string, start 0, length 5) -> 2:string
Statistics: Num rows: 7333333 Data size: 7442452291 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 2:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string)
mode: hash
outputColumnNames: _col0, _col1
@@ -342,19 +460,45 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 7333333 Data size: 7442452291 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: bigint)
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 3666666 Data size: 3721225638 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string)
mode: hash
outputColumnNames: _col0, _col1
@@ -363,19 +507,45 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 13666666 Data size: 13870024459 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: bigint)
Reducer 7
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 10000000 Data size: 10148798821 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string)
mode: hash
outputColumnNames: _col0, _col1
@@ -384,27 +554,56 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 13666666 Data size: 13870024459 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: bigint)
Reducer 8
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 6833333 Data size: 6935012229 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColEqualLongScalar(col 1:bigint, val 2)
predicate: (_col1 = 2L) (type: boolean)
Statistics: Num rows: 1 Data size: 1014 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: string)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1 Data size: 1014 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 substr(_col0, 1, 2) (type: string)
1 substr(_col2, 1, 2) (type: string)
@@ -419,12 +618,22 @@ STAGE PLANS:
alias: store
filterExpr: (s_store_sk is not null and substr(s_zip, 1, 2) is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 30:string)(children: StringSubstrColStartLen(col 25:string, start 0, length 2) -> 30:string))
predicate: (s_store_sk is not null and substr(s_zip, 1, 2) is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_name (type: string), s_zip (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 25]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -432,15 +641,32 @@ STAGE PLANS:
keys:
0 substr(_col0, 1, 2) (type: string)
1 substr(_col2, 1, 2) (type: string)
+ Map Join Vectorization:
+ bigTableKeyExpressions: StringSubstrColStartLen(col 25:string, start 0, length 2) -> 30:string
+ className: VectorMapJoinInnerBigOnlyStringOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2
input vertices:
0 Reducer 8
Statistics: Num rows: 1874 Data size: 3581903 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -458,42 +684,93 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_store_sk (type: int), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 22]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 5
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_qoy = 1) and (d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 1), FilterLongColEqualLongScalar(col 6:int, val 2002), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy = 1) and (d_year = 2002) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -528,9 +805,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -538,21 +829,41 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: decimal(17,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[19/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query60.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query60.q.out b/ql/src/test/results/clientpositive/perf/spark/query60.q.out
index f4f61e2..07bb822 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query60.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query60.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with ss as (
select
i_item_id,sum(ss_ext_sales_price) total_sales
@@ -75,7 +75,7 @@ where i_category in ('Children'))
,total_sales
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with ss as (
select
i_item_id,sum(ss_ext_sales_price) total_sales
@@ -152,6 +152,10 @@ where i_category in ('Children'))
,total_sales
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -186,72 +190,158 @@ STAGE PLANS:
alias: item
filterExpr: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 1:string), SelectColumnIsNotNull(col 0:int))
predicate: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 9) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 9), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 9) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_gmt_offset = -6) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 11:decimal(5,2)/DECIMAL_64, val -600), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_gmt_offset = -6) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_category = 'Children') and i_item_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 12:string, val Children), SelectColumnIsNotNull(col 1:string))
predicate: ((i_category = 'Children') and i_item_id is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_id (type: string)
outputColumnNames: i_item_id
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 1:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: i_item_id (type: string)
mode: hash
outputColumnNames: _col0
@@ -260,127 +350,283 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_sold_date_sk is not null and cs_bill_addr_sk is not null and cs_item_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 15:int))
predicate: (cs_bill_addr_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_addr_sk (type: int), cs_item_sk (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 15, 23]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 1:string), SelectColumnIsNotNull(col 0:int))
predicate: (i_item_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 31
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_bill_addr_sk is not null and ws_item_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 3:int))
predicate: (ws_bill_addr_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_bill_addr_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 7, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 34
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 9) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 9), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 9) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 35
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_gmt_offset = -6) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 11:decimal(5,2)/DECIMAL_64, val -600), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_gmt_offset = -6) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_addr_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_addr_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_addr_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 6, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -397,6 +643,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: decimal(7,2))
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -417,6 +668,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: decimal(7,2))
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -433,6 +689,11 @@ STAGE PLANS:
Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -456,15 +717,37 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 17
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string)
mode: hash
outputColumnNames: _col0, _col1
@@ -473,13 +756,30 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 670816147 Data size: 72801917426 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: decimal(27,2))
Reducer 19
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -488,8 +788,17 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 115500 Data size: 165890114 Basic stats: COMPLETE Column stats: NONE
Reducer 21
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -506,6 +815,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -526,6 +840,11 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: decimal(7,2))
Reducer 26
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -542,6 +861,11 @@ STAGE PLANS:
Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Reducer 27
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -565,15 +889,37 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 28
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 95833781 Data size: 13030622757 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string)
mode: hash
outputColumnNames: _col0, _col1
@@ -582,10 +928,19 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 670816147 Data size: 72801917426 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: decimal(27,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -609,8 +964,21 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 30
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -619,8 +987,17 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 115500 Data size: 165890114 Basic stats: COMPLETE Column stats: NONE
Reducer 32
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -637,6 +1014,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: decimal(7,2))
Reducer 33
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -658,15 +1040,37 @@ STAGE PLANS:
value expressions: _col5 (type: decimal(7,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string)
mode: hash
outputColumnNames: _col0, _col1
@@ -675,14 +1079,32 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 670816147 Data size: 72801917426 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: decimal(27,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(27,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -690,20 +1112,40 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: decimal(27,2))
sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 335408073 Data size: 36400958658 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: decimal(27,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 335408073 Data size: 36400958658 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[14/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query69.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query69.q.out b/ql/src/test/results/clientpositive/perf/spark/query69.q.out
index e17832c..aefe55a 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query69.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query69.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
cd_gender,
cd_marital_status,
@@ -44,7 +44,7 @@ select
cd_credit_rating
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
cd_gender,
cd_marital_status,
@@ -90,6 +90,10 @@ select
cd_credit_rating
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -108,18 +112,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 1999) and d_moy BETWEEN 1 AND 3 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColumnBetween(col 8:int, left 1, right 3), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1999) and d_date_sk is not null and d_moy BETWEEN 1 AND 3) (type: boolean)
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -133,18 +159,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 1999) and d_moy BETWEEN 1 AND 3 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColumnBetween(col 8:int, left 1, right 3), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1999) and d_date_sk is not null and d_moy BETWEEN 1 AND 3) (type: boolean)
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -158,18 +206,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 1999) and d_moy BETWEEN 1 AND 3 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColumnBetween(col 8:int, left 1, right 3), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1999) and d_date_sk is not null and d_moy BETWEEN 1 AND 3) (type: boolean)
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -192,32 +262,65 @@ STAGE PLANS:
alias: c
filterExpr: (c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_cdemo_sk (type: int), c_current_addr_sk (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int)
sort order: +
Map-reduce partition columns: _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -225,6 +328,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
1 Map 11
@@ -232,8 +339,19 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3]
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 3:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
@@ -242,8 +360,21 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 12
@@ -252,12 +383,22 @@ STAGE PLANS:
alias: web_sales
filterExpr: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -265,11 +406,22 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
1 Map 14
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 4:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col1 (type: int)
mode: hash
outputColumnNames: _col0
@@ -278,8 +430,21 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 15
@@ -288,12 +453,22 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_ship_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_ship_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_ship_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -301,11 +476,22 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
1 Map 17
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 7:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col1 (type: int)
mode: hash
outputColumnNames: _col0
@@ -314,8 +500,21 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 8
@@ -324,43 +523,102 @@ STAGE PLANS:
alias: ca
filterExpr: ((ca_state) IN ('CO', 'IL', 'MN') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 8, values CO, IL, MN), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_state) IN ('CO', 'IL', 'MN') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: customer_demographics
filterExpr: cd_demo_sk is not null (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cd_demo_sk is not null (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int), cd_gender (type: string), cd_marital_status (type: string), cd_education_status (type: string), cd_purchase_estimate (type: int), cd_credit_rating (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 13
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
@@ -368,17 +626,39 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), true (type: boolean)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
+ selectExpressions: ConstantVectorExpression(val 1) -> 1:boolean
Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: boolean)
Reducer 16
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
@@ -386,14 +666,28 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), true (type: boolean)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
+ selectExpressions: ConstantVectorExpression(val 1) -> 1:boolean
Statistics: Num rows: 158394413 Data size: 21449785388 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158394413 Data size: 21449785388 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: boolean)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -410,6 +704,11 @@ STAGE PLANS:
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -426,6 +725,11 @@ STAGE PLANS:
Statistics: Num rows: 96800003 Data size: 83249958789 Basic stats: COMPLETE Column stats: NONE
value expressions: _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: int), _col10 (type: string)
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -451,6 +755,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: int), _col10 (type: string)
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -482,9 +791,23 @@ STAGE PLANS:
value expressions: _col5 (type: bigint)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 5:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:int, col 4:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int), KEY._col4 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -492,25 +815,49 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col5 (type: bigint), _col3 (type: int), _col4 (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 5, 3, 4]
Statistics: Num rows: 191662559 Data size: 16908526602 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col4 (type: int), _col6 (type: string)
sort order: +++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 191662559 Data size: 16908526602 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: bigint)
Reducer 7
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), VALUE._col0 (type: bigint), KEY.reducesinkkey3 (type: int), VALUE._col0 (type: bigint), KEY.reducesinkkey4 (type: string), VALUE._col0 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 5, 3, 5, 4, 5]
Statistics: Num rows: 191662559 Data size: 16908526602 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query7.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query7.q.out b/ql/src/test/results/clientpositive/perf/spark/query7.q.out
index 2ae847b..8e8253f 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query7.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query7.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_item_id,
avg(ss_quantity) agg1,
avg(ss_list_price) agg2,
@@ -18,7 +18,7 @@ select i_item_id,
order by i_item_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_item_id,
avg(ss_quantity) agg1,
avg(ss_list_price) agg2,
@@ -38,6 +38,10 @@ select i_item_id,
order by i_item_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -54,18 +58,40 @@ STAGE PLANS:
alias: promotion
filterExpr: (((p_channel_email = 'N') or (p_channel_event = 'N')) and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 9:string, val N), FilterStringGroupColEqualStringScalar(col 14:string, val N)), SelectColumnIsNotNull(col 0:int))
predicate: (((p_channel_email = 'N') or (p_channel_event = 'N')) and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: p_promo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -85,79 +111,176 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_cdemo_sk is not null and ss_sold_date_sk is not null and ss_item_sk is not null and ss_promo_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 8:int))
predicate: (ss_cdemo_sk is not null and ss_item_sk is not null and ss_promo_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_cdemo_sk (type: int), ss_promo_sk (type: int), ss_quantity (type: int), ss_list_price (type: decimal(7,2)), ss_sales_price (type: decimal(7,2)), ss_coupon_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4, 8, 10, 12, 13, 19]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int)
sort order: +
Map-reduce partition columns: _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: customer_demographics
filterExpr: ((cd_gender = 'F') and (cd_marital_status = 'W') and (cd_education_status = 'Primary') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 1:string, val F), FilterStringGroupColEqualStringScalar(col 2:string, val W), FilterStringGroupColEqualStringScalar(col 3:string, val Primary), SelectColumnIsNotNull(col 0:int))
predicate: ((cd_education_status = 'Primary') and (cd_gender = 'F') and (cd_marital_status = 'W') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 232725 Data size: 89648269 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 232725 Data size: 89648269 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 232725 Data size: 89648269 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1998), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -176,6 +299,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -202,6 +330,11 @@ STAGE PLANS:
Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -226,9 +359,23 @@ STAGE PLANS:
value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(17,2)), _col4 (type: bigint), _col5 (type: decimal(17,2)), _col6 (type: bigint), _col7 (type: decimal(17,2)), _col8 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), sum(VALUE._col2), count(VALUE._col3), sum(VALUE._col4), count(VALUE._col5), sum(VALUE._col6), count(VALUE._col7)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 1:bigint) -> bigint, VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 4:bigint) -> bigint, VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 6:bigint) -> bigint, VectorUDAFSumDecimal(col 7:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 8:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
@@ -236,25 +383,50 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), (_col1 / _col2) (type: double), (_col3 / _col4) (type: decimal(37,22)), (_col5 / _col6) (type: decimal(37,22)), (_col7 / _col8) (type: decimal(37,22))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 9, 11, 12, 13]
+ selectExpressions: LongColDivideLongColumn(col 1:bigint, col 2:bigint) -> 9:double, DecimalColDivideDecimalColumn(col 3:decimal(17,2), col 10:decimal(19,0))(children: CastLongToDecimal(col 4:bigint) -> 10:decimal(19,0)) -> 11:decimal(37,22), DecimalColDivideDecimalColumn(col 5:decimal(17,2), col 10:decimal(19,0))(children: CastLongToDecimal(col 6:bigint) -> 10:decimal(19,0)) -> 12:decimal(37,22), DecimalColDivideDecimalColumn(col 7:decimal(17,2), col 10:decimal(19,0))(children: CastLongToDecimal(col 8:bigint) -> 10:decimal(19,0)) -> 13:decimal(37,22)
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: double), _col2 (type: decimal(37,22)), _col3 (type: decimal(37,22)), _col4 (type: decimal(37,22))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: double), VALUE._col1 (type: decimal(37,22)), VALUE._col2 (type: decimal(37,22)), VALUE._col3 (type: decimal(37,22))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[33/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query37.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query37.q.out b/ql/src/test/results/clientpositive/perf/spark/query37.q.out
index bce0d68..fa25d4c 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query37.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query37.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_item_id
,i_item_desc
,i_current_price
@@ -14,7 +14,7 @@ select i_item_id
order by i_item_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_item_id
,i_item_desc
,i_current_price
@@ -30,6 +30,10 @@ select i_item_id
order by i_item_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -46,18 +50,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-06-02 00:00:00' AND TIMESTAMP'2001-08-01 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 2001-06-01 17:00:00.0, right 2001-07-31 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-06-02 00:00:00' AND TIMESTAMP'2001-08-01 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -75,51 +101,107 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: cs_item_sk is not null (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 15:int)
predicate: cs_item_sk is not null (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_item_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [15]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 5
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_manufact_id) IN (678, 964, 918, 849) and i_current_price BETWEEN 22 AND 52 and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 13:int, values [678, 964, 918, 849]), FilterDecimal64ColumnBetween(col 5:decimal(7,2)/DECIMAL_64, decimal64LeftVal 2200, decimalLeftVal 2200, decimal64RightVal 5200, decimalRightVal 5200), SelectColumnIsNotNull(col 0:int))
predicate: ((i_manufact_id) IN (678, 964, 918, 849) and i_current_price BETWEEN 22 AND 52 and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string), i_item_desc (type: string), i_current_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 4, 5]
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: inventory
filterExpr: (inv_quantity_on_hand BETWEEN 100 AND 500 and inv_item_sk is not null and inv_date_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 100, right 500), SelectColumnIsNotNull(col 1:int), SelectColumnIsNotNull(col 0:int))
predicate: (inv_date_sk is not null and inv_item_sk is not null and inv_quantity_on_hand BETWEEN 100 AND 500) (type: boolean)
Statistics: Num rows: 4176000 Data size: 65980122 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: inv_date_sk (type: int), inv_item_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 4176000 Data size: 65980122 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -127,6 +209,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
1 Map 7
@@ -135,11 +221,29 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 4593600 Data size: 72578135 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -164,8 +268,21 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:decimal(7,2)
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: decimal(7,2))
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -173,21 +290,41 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col1 (type: string), _col2 (type: decimal(7,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), VALUE._col0 (type: string), VALUE._col1 (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query38.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query38.q.out b/ql/src/test/results/clientpositive/perf/spark/query38.q.out
index 0064177..01b3c59 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query38.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query38.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select count(*) from (
select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
@@ -20,7 +20,7 @@ select count(*) from (
) hot_cust
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select count(*) from (
select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
@@ -42,6 +42,10 @@ select count(*) from (
) hot_cust
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -60,18 +64,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -85,18 +111,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -110,18 +158,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -144,12 +214,22 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_customer_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -157,6 +237,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col3
input vertices:
1 Map 6
@@ -165,9 +249,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 12
@@ -176,32 +273,65 @@ STAGE PLANS:
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_bill_customer_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -209,6 +339,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col3
input vertices:
1 Map 16
@@ -217,9 +351,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 17
@@ -228,32 +375,65 @@ STAGE PLANS:
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_sold_date_sk is not null and cs_bill_customer_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int))
predicate: (cs_bill_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -261,6 +441,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col3
input vertices:
1 Map 11
@@ -269,15 +453,41 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Reducer 10
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -285,15 +495,35 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: string), _col0 (type: string), _col2 (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0]
keys: _col1 (type: string), _col0 (type: string), _col2 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 87116929 Data size: 11797382219 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count(_col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 3:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string), _col1 (type: string), _col2 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3
@@ -302,9 +532,18 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 304916424 Data size: 33091779879 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: bigint)
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -326,8 +565,21 @@ STAGE PLANS:
Statistics: Num rows: 174243235 Data size: 23692040863 Basic stats: COMPLETE Column stats: NONE
Reducer 15
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -335,15 +587,35 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: string), _col0 (type: string), _col2 (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0]
keys: _col1 (type: string), _col0 (type: string), _col2 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 43560808 Data size: 5923010113 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count(_col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 3:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string), _col1 (type: string), _col2 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3
@@ -352,9 +624,18 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 304916424 Data size: 33091779879 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: bigint)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -376,8 +657,21 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -385,15 +679,35 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: string), _col0 (type: string), _col2 (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0]
keys: _col1 (type: string), _col0 (type: string), _col2 (type: string)
mode: complete
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 174238687 Data size: 15371387547 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count(_col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 3:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: string), _col1 (type: string), _col2 (type: string)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3
@@ -402,13 +716,31 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 304916424 Data size: 33091779879 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: bigint)
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3
@@ -416,41 +748,88 @@ STAGE PLANS:
Select Operator
expressions: _col3 (type: bigint)
outputColumnNames: _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3]
Statistics: Num rows: 152458212 Data size: 16545889939 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColEqualLongScalar(col 3:bigint, val 3)
predicate: (_col3 = 3L) (type: boolean)
Statistics: Num rows: 1 Data size: 108 Basic stats: COMPLETE Column stats: NONE
Select Operator
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: []
Statistics: Num rows: 1 Data size: 108 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count()
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
mode: hash
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col0 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
[29/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query45.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query45.q.out b/ql/src/test/results/clientpositive/perf/spark/query45.q.out
index cac3d05..9c58320 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query45.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query45.q.out
@@ -1,5 +1,5 @@
Warning: Map Join MAPJOIN[67][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select ca_zip, ca_county, sum(ws_sales_price)
from web_sales, customer, customer_address, date_dim, item
where ws_bill_customer_sk = c_customer_sk
@@ -18,7 +18,7 @@ select ca_zip, ca_county, sum(ws_sales_price)
order by ca_zip, ca_county
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select ca_zip, ca_county, sum(ws_sales_price)
from web_sales, customer, customer_address, date_dim, item
where ws_bill_customer_sk = c_customer_sk
@@ -37,6 +37,10 @@ select ca_zip, ca_county, sum(ws_sales_price)
order by ca_zip, ca_county
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -55,34 +59,80 @@ STAGE PLANS:
alias: item
filterExpr: (i_item_sk) IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColumnInList(col 0:int, values [2, 3, 5, 7, 11, 13, 17, 19, 23, 29])
predicate: (i_item_sk) IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_id (type: string)
outputColumnNames: i_item_id
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: count(), count(i_item_id)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountStar(*) -> bigint, VectorUDAFCount(col 1:string) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
mode: hash
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: bigint), _col1 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 16
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 0:bigint) -> bigint, VectorUDAFCountMerge(col 1:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1]
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -106,34 +156,74 @@ STAGE PLANS:
alias: customer
filterExpr: (c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_addr_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_item_sk) IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColumnInList(col 0:int, values [2, 3, 5, 7, 11, 13, 17, 19, 23, 29])
predicate: (i_item_sk) IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_id (type: string)
outputColumnNames: i_item_id
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 1:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: i_item_id (type: string)
mode: hash
outputColumnNames: _col0
@@ -142,91 +232,209 @@ STAGE PLANS:
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null and ws_item_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int))
predicate: (ws_bill_customer_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_bill_customer_sk (type: int), ws_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 4, 21]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 10:int, val 2), FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_county (type: string), ca_zip (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 9]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string)
sort order: +
Map-reduce partition columns: _col1 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 11
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0
@@ -234,14 +442,28 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), true (type: boolean)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
+ selectExpressions: ConstantVectorExpression(val 1) -> 1:boolean
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string)
sort order: +
Map-reduce partition columns: _col0 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkStringOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: boolean)
Reducer 13
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -258,6 +480,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -276,6 +503,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -321,9 +553,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -331,27 +577,52 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string)
sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 95833781 Data size: 14659797034 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col2 (type: decimal(17,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
Statistics: Num rows: 95833781 Data size: 14659797034 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 15200 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 15200 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -368,6 +639,11 @@ STAGE PLANS:
Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col3 (type: boolean)
Reducer 9
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query46.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query46.q.out b/ql/src/test/results/clientpositive/perf/spark/query46.q.out
index 2b925a3..939a1e0 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query46.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query46.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select c_last_name
,c_first_name
,ca_city
@@ -32,7 +32,7 @@ select c_last_name
,ss_ticket_number
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select c_last_name
,c_first_name
,ca_city
@@ -66,6 +66,10 @@ select c_last_name
,ss_ticket_number
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -82,18 +86,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_city) IN ('Cedar Grove', 'Wildwood', 'Union', 'Salem', 'Highland Park') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 22, values Cedar Grove, Wildwood, Union, Salem, Highland Park), SelectColumnIsNotNull(col 0:int))
predicate: ((s_city) IN ('Cedar Grove', 'Wildwood', 'Union', 'Salem', 'Highland Park') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col4 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 12
@@ -102,18 +128,40 @@ STAGE PLANS:
alias: household_demographics
filterExpr: (((hd_dep_count = 2) or (hd_vehicle_count = 1)) and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterLongColEqualLongScalar(col 3:int, val 2), FilterLongColEqualLongScalar(col 4:int, val 1)), SelectColumnIsNotNull(col 0:int))
predicate: (((hd_dep_count = 2) or (hd_vehicle_count = 1)) and hd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: hd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -134,100 +182,220 @@ STAGE PLANS:
alias: customer
filterExpr: (c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_addr_sk (type: int), c_first_name (type: string), c_last_name (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 8, 9]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: string), _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_dow) IN (6, 0) and (d_year) IN (1998, 1999, 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 7:int, values [6, 0]), FilterLongColumnInList(col 6:int, values [1998, 1999, 2000]), SelectColumnIsNotNull(col 0:int))
predicate: ((d_dow) IN (6, 0) and (d_year) IN (1998, 1999, 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_city (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 5
Map Operator Tree:
TableScan
alias: current_addr
filterExpr: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: ca_address_sk is not null (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_city (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null and ss_hdemo_sk is not null and ss_addr_sk is not null and ss_customer_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 5:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 3:int))
predicate: (ss_addr_sk is not null and ss_customer_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_hdemo_sk (type: int), ss_addr_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_coupon_amt (type: decimal(7,2)), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 5, 6, 7, 9, 19, 22]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -244,6 +412,11 @@ STAGE PLANS:
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: string), _col3 (type: string), _col5 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -268,16 +441,32 @@ STAGE PLANS:
value expressions: _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: int), VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6]
Statistics: Num rows: 463823414 Data size: 40918636263 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
@@ -286,6 +475,11 @@ STAGE PLANS:
Reducer 7
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -322,6 +516,11 @@ STAGE PLANS:
Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col5 (type: int), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2))
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -345,9 +544,23 @@ STAGE PLANS:
value expressions: _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2))
Reducer 9
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:string, col 2:int, col 3:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int), KEY._col1 (type: string), KEY._col2 (type: int), KEY._col3 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -355,11 +568,19 @@ STAGE PLANS:
Select Operator
expressions: _col3 (type: int), _col0 (type: int), _col1 (type: string), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 0, 1, 4, 5]
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: string), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2))
[05/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query80.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query80.q.out b/ql/src/test/results/clientpositive/perf/spark/query80.q.out
index 63cca92..4e55b37 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query80.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query80.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with ssr as
(select s_store_id as store_id,
sum(ss_ext_sales_price) as sales,
@@ -93,7 +93,7 @@ group by web_site_id)
,id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with ssr as
(select s_store_id as store_id,
sum(ss_ext_sales_price) as sales,
@@ -188,6 +188,10 @@ group by web_site_id)
,id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -209,18 +213,40 @@ STAGE PLANS:
alias: promotion
filterExpr: ((p_channel_tv = 'N') and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 11:string, val N), SelectColumnIsNotNull(col 0:int))
predicate: ((p_channel_tv = 'N') and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 1150 Data size: 1356710 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: p_promo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1150 Data size: 1356710 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 11
@@ -229,18 +255,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -254,18 +302,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-08-03 17:00:00.0, right 1998-09-02 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -279,18 +349,40 @@ STAGE PLANS:
alias: promotion
filterExpr: ((p_channel_tv = 'N') and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 11:string, val N), SelectColumnIsNotNull(col 0:int))
predicate: ((p_channel_tv = 'N') and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 1150 Data size: 1356710 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: p_promo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1150 Data size: 1356710 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -304,18 +396,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-08-03 17:00:00.0, right 1998-09-02 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -329,18 +443,40 @@ STAGE PLANS:
alias: promotion
filterExpr: ((p_channel_tv = 'N') and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 11:string, val N), SelectColumnIsNotNull(col 0:int))
predicate: ((p_channel_tv = 'N') and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 1150 Data size: 1356710 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: p_promo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1150 Data size: 1356710 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 30
@@ -349,18 +485,40 @@ STAGE PLANS:
alias: web_site
filterExpr: web_site_sk is not null (type: boolean)
Statistics: Num rows: 84 Data size: 155408 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: web_site_sk is not null (type: boolean)
Statistics: Num rows: 84 Data size: 155408 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: web_site_sk (type: int), web_site_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 84 Data size: 155408 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -374,18 +532,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-08-03 17:00:00.0, right 1998-09-02 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -412,181 +592,393 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null and ss_item_sk is not null and ss_promo_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 8:int))
predicate: (ss_item_sk is not null and ss_promo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_store_sk (type: int), ss_promo_sk (type: int), ss_ticket_number (type: int), ss_ext_sales_price (type: decimal(7,2)), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 7, 8, 9, 15, 22]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int), _col4 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col4 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: int), _col3 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_sold_date_sk is not null and cs_catalog_page_sk is not null and cs_item_sk is not null and cs_promo_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:int), SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 16:int))
predicate: (cs_catalog_page_sk is not null and cs_item_sk is not null and cs_promo_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_catalog_page_sk (type: int), cs_item_sk (type: int), cs_promo_sk (type: int), cs_order_number (type: int), cs_ext_sales_price (type: decimal(7,2)), cs_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 12, 15, 16, 17, 23, 33]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int), _col4 (type: int)
sort order: ++
Map-reduce partition columns: _col2 (type: int), _col4 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: int), _col3 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 17
Map Operator Tree:
TableScan
alias: catalog_returns
filterExpr: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_item_sk (type: int), cr_order_number (type: int), cr_return_amount (type: decimal(7,2)), cr_net_loss (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 16, 18, 26]
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_current_price > 50) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColGreaterDecimal64Scalar(col 5:decimal(7,2)/DECIMAL_64, val 5000), SelectColumnIsNotNull(col 0:int))
predicate: ((i_current_price > 50) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 154000 Data size: 221186819 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 154000 Data size: 221186819 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 154000 Data size: 221186819 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 21
Map Operator Tree:
TableScan
alias: catalog_page
filterExpr: cp_catalog_page_sk is not null (type: boolean)
Statistics: Num rows: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cp_catalog_page_sk is not null (type: boolean)
Statistics: Num rows: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cp_catalog_page_sk (type: int), cp_catalog_page_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 22
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_web_site_sk is not null and ws_item_sk is not null and ws_promo_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 13:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 16:int))
predicate: (ws_item_sk is not null and ws_promo_sk is not null and ws_sold_date_sk is not null and ws_web_site_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_web_site_sk (type: int), ws_promo_sk (type: int), ws_order_number (type: int), ws_ext_sales_price (type: decimal(7,2)), ws_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 13, 16, 17, 23, 33]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int), _col4 (type: int)
sort order: ++
Map-reduce partition columns: _col1 (type: int), _col4 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: int), _col3 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 26
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: wr_item_sk is not null (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: wr_item_sk is not null (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wr_item_sk (type: int), wr_order_number (type: int), wr_return_amt (type: decimal(7,2)), wr_net_loss (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 13, 15, 23]
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 28
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_current_price > 50) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColGreaterDecimal64Scalar(col 5:decimal(7,2)/DECIMAL_64, val 5000), SelectColumnIsNotNull(col 0:int))
predicate: ((i_current_price > 50) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 154000 Data size: 221186819 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 154000 Data size: 221186819 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 154000 Data size: 221186819 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: sr_item_sk is not null (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: sr_item_sk is not null (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_item_sk (type: int), sr_ticket_number (type: int), sr_return_amt (type: decimal(7,2)), sr_net_loss (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 9, 11, 19]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 13
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -615,6 +1007,11 @@ STAGE PLANS:
Reducer 14
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -641,6 +1038,11 @@ STAGE PLANS:
Statistics: Num rows: 421645953 Data size: 57099332415 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col9 (type: decimal(7,2)), _col10 (type: decimal(7,2))
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -668,9 +1070,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(22,2)), _col3 (type: decimal(23,2))
Reducer 16
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(22,2)) -> decimal(22,2), VectorUDAFSumDecimal(col 3:decimal(23,2)) -> decimal(23,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3
@@ -678,9 +1094,22 @@ STAGE PLANS:
Select Operator
expressions: 'catalog channel' (type: string), concat('catalog_page', _col0) (type: string), _col1 (type: decimal(17,2)), _col2 (type: decimal(22,2)), _col3 (type: decimal(23,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 5, 1, 2, 3]
+ selectExpressions: ConstantVectorExpression(val catalog channel) -> 4:string, StringScalarConcatStringGroupCol(val catalog_page, col 0:string) -> 5:string
Statistics: Num rows: 231905279 Data size: 31404633508 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 2:decimal(22,2)) -> decimal(32,2), VectorUDAFSumDecimal(col 3:decimal(23,2)) -> decimal(33,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 4:string, col 5:string, ConstantVectorExpression(val 0) -> 6:bigint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
keys: _col0 (type: string), _col1 (type: string), 0L (type: bigint)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -689,12 +1118,21 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 2435062716 Data size: 264270971781 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(32,2)), _col5 (type: decimal(33,2))
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -723,6 +1161,11 @@ STAGE PLANS:
Reducer 23
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -751,6 +1194,11 @@ STAGE PLANS:
Reducer 24
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -798,9 +1246,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(22,2)), _col3 (type: decimal(23,2))
Reducer 25
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(22,2)) -> decimal(22,2), VectorUDAFSumDecimal(col 3:decimal(23,2)) -> decimal(23,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3
@@ -808,9 +1270,22 @@ STAGE PLANS:
Select Operator
expressions: 'web channel' (type: string), concat('web_site', _col0) (type: string), _col1 (type: decimal(17,2)), _col2 (type: decimal(22,2)), _col3 (type: decimal(23,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 5, 1, 2, 3]
+ selectExpressions: ConstantVectorExpression(val web channel) -> 4:string, StringScalarConcatStringGroupCol(val web_site, col 0:string) -> 5:string
Statistics: Num rows: 115958879 Data size: 15767054151 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 2:decimal(22,2)) -> decimal(32,2), VectorUDAFSumDecimal(col 3:decimal(23,2)) -> decimal(33,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 4:string, col 5:string, ConstantVectorExpression(val 0) -> 6:bigint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
keys: _col0 (type: string), _col1 (type: string), 0L (type: bigint)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -819,12 +1294,21 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 2435062716 Data size: 264270971781 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(32,2)), _col5 (type: decimal(33,2))
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -872,9 +1356,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(22,2)), _col3 (type: decimal(23,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(22,2)) -> decimal(22,2), VectorUDAFSumDecimal(col 3:decimal(23,2)) -> decimal(23,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3
@@ -882,9 +1380,22 @@ STAGE PLANS:
Select Operator
expressions: 'store channel' (type: string), concat('store', _col0) (type: string), _col1 (type: decimal(17,2)), _col2 (type: decimal(22,2)), _col3 (type: decimal(23,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 5, 1, 2, 3]
+ selectExpressions: ConstantVectorExpression(val store channel) -> 4:string, StringScalarConcatStringGroupCol(val store, col 0:string) -> 5:string
Statistics: Num rows: 463823414 Data size: 40918636268 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 2:decimal(22,2)) -> decimal(32,2), VectorUDAFSumDecimal(col 3:decimal(23,2)) -> decimal(33,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 4:string, col 5:string, ConstantVectorExpression(val 0) -> 6:bigint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
keys: _col0 (type: string), _col1 (type: string), 0L (type: bigint)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -893,14 +1404,32 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: bigint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 2435062716 Data size: 264270971781 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(32,2)), _col5 (type: decimal(33,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 3:decimal(27,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 4:decimal(32,2)) -> decimal(32,2), VectorUDAFSumDecimal(col 5:decimal(33,2)) -> decimal(33,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:bigint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: bigint)
mode: mergepartial
outputColumnNames: _col0, _col1, _col3, _col4, _col5
@@ -909,25 +1438,49 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(27,2)), _col4 (type: decimal(32,2)), _col5 (type: decimal(33,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
Statistics: Num rows: 1217531358 Data size: 132135485890 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string)
sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1217531358 Data size: 132135485890 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col2 (type: decimal(27,2)), _col3 (type: decimal(32,2)), _col4 (type: decimal(33,2))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(27,2)), VALUE._col1 (type: decimal(32,2)), VALUE._col2 (type: decimal(33,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
Statistics: Num rows: 1217531358 Data size: 132135485890 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[30/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query40.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query40.q.out b/ql/src/test/results/clientpositive/perf/spark/query40.q.out
index 6cdac29..01bffec 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query40.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query40.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
w_state
,i_item_id
@@ -25,7 +25,7 @@ select
order by w_state,i_item_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
w_state
,i_item_id
@@ -52,6 +52,10 @@ select
order by w_state,i_item_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -69,18 +73,40 @@ STAGE PLANS:
alias: warehouse
filterExpr: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: w_warehouse_sk (type: int), w_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 10]
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -94,18 +120,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-09 00:00:00' AND TIMESTAMP'1998-05-08 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-03-08 16:00:00.0, right 1998-05-07 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-09 00:00:00' AND TIMESTAMP'1998-05-08 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -124,63 +172,137 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_warehouse_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 14:int), SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_item_sk is not null and cs_sold_date_sk is not null and cs_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_warehouse_sk (type: int), cs_item_sk (type: int), cs_order_number (type: int), cs_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 14, 15, 17, 21]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int), _col3 (type: int)
sort order: ++
Map-reduce partition columns: _col2 (type: int), _col3 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: catalog_returns
filterExpr: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 2:int)
predicate: cr_item_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_item_sk (type: int), cr_order_number (type: int), cr_refunded_cash (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 16, 23]
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int), _col1 (type: int)
sort order: ++
Map-reduce partition columns: _col0 (type: int), _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_current_price BETWEEN 0.99 AND 1.49 and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColumnBetween(col 5:decimal(7,2)/DECIMAL_64, decimal64LeftVal 99, decimalLeftVal 0.99, decimal64RightVal 149, decimalRightVal 1.49), SelectColumnIsNotNull(col 0:int))
predicate: (i_current_price BETWEEN 0.99 AND 1.49 and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -209,6 +331,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -247,9 +374,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(23,2)), _col3 (type: decimal(23,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(23,2)) -> decimal(23,2), VectorUDAFSumDecimal(col 3:decimal(23,2)) -> decimal(23,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: string), KEY._col1 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3
@@ -257,21 +398,41 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string)
sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 210822976 Data size: 28549666139 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col2 (type: decimal(23,2)), _col3 (type: decimal(23,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(23,2)), VALUE._col1 (type: decimal(23,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
Statistics: Num rows: 210822976 Data size: 28549666139 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query42.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query42.q.out b/ql/src/test/results/clientpositive/perf/spark/query42.q.out
index 8d9777f..34aa681 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query42.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query42.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select dt.d_year
,item.i_category_id
,item.i_category
@@ -19,7 +19,7 @@ select dt.d_year
,item.i_category
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select dt.d_year
,item.i_category_id
,item.i_category
@@ -40,6 +40,10 @@ select dt.d_year
,item.i_category
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -60,60 +64,134 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: dt
filterExpr: ((d_moy = 12) and (d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 8:int, val 12), FilterLongColEqualLongScalar(col 6:int, val 1998), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 12) and (d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_manager_id = 1) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 20:int, val 1), SelectColumnIsNotNull(col 0:int))
predicate: ((i_manager_id = 1) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_category_id (type: int), i_category (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 11, 12]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -130,6 +208,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -153,9 +236,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -163,24 +260,49 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), _col1 (type: string), _col2 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col3 (type: decimal(17,2)), _col0 (type: int), _col1 (type: string)
sort order: -++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: 1998 (type: int), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey0 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 1, 2, 0]
+ selectExpressions: ConstantVectorExpression(val 1998) -> 3:int
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query43.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query43.q.out b/ql/src/test/results/clientpositive/perf/spark/query43.q.out
index 3e234a1..acb666f 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query43.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query43.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select s_store_name, s_store_id,
sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
@@ -16,7 +16,7 @@ select s_store_name, s_store_id,
order by s_store_name, s_store_id,sun_sales,mon_sales,tue_sales,wed_sales,thu_sales,fri_sales,sat_sales
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select s_store_name, s_store_id,
sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
@@ -34,6 +34,10 @@ select s_store_name, s_store_id,
order by s_store_name, s_store_id,sun_sales,mon_sales,tue_sales,wed_sales,thu_sales,fri_sales,sat_sales
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -50,18 +54,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_gmt_offset = -6) and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 27:decimal(5,2)/DECIMAL_64, val -600), SelectColumnIsNotNull(col 0:int))
predicate: ((s_gmt_offset = -6) and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_store_id (type: string), s_store_name (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 5]
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -79,43 +105,94 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 5
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1998), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 1998) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_day_name (type: string)
outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 14]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -154,9 +231,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)), _col8 (type: decimal(17,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 4:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 5:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 6:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 7:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 8:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6]
keys: KEY._col0 (type: string), KEY._col1 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
@@ -164,20 +255,40 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)), _col8 (type: decimal(17,2))
sort order: +++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: decimal(17,2)), KEY.reducesinkkey3 (type: decimal(17,2)), KEY.reducesinkkey4 (type: decimal(17,2)), KEY.reducesinkkey5 (type: decimal(17,2)), KEY.reducesinkkey6 (type: decimal(17,2)), KEY.reducesinkkey7 (type: decimal(17,2)), KEY.reducesinkkey8 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8]
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query44.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query44.q.out b/ql/src/test/results/clientpositive/perf/spark/query44.q.out
index 6410815..dc4d74e 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query44.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query44.q.out
@@ -1,6 +1,6 @@
Warning: Shuffle Join JOIN[20][tables = [$hdt$_1, $hdt$_2]] in Work 'Reducer 7' is a cross product
Warning: Shuffle Join JOIN[49][tables = [$hdt$_3, $hdt$_4]] in Work 'Reducer 15' is a cross product
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing
from(select *
from (select item_sk,rank() over (order by rank_col asc) rnk
@@ -34,7 +34,7 @@ where asceding.rnk = descending.rnk
order by asceding.rnk
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing
from(select *
from (select item_sk,rank() over (order by rank_col asc) rnk
@@ -68,6 +68,10 @@ where asceding.rnk = descending.rnk
order by asceding.rnk
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -96,55 +100,119 @@ STAGE PLANS:
alias: i1
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_product_name (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 21]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: i2
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_product_name (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 21]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: ss1
filterExpr: (ss_store_sk = 410) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColEqualLongScalar(col 7:int, val 410)
predicate: (ss_store_sk = 410) (type: boolean)
Statistics: Num rows: 287997817 Data size: 25407250999 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_item_sk (type: int), ss_net_profit (type: decimal(7,2))
outputColumnNames: ss_item_sk, ss_net_profit
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 22]
Statistics: Num rows: 287997817 Data size: 25407250999 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(ss_net_profit), count(ss_net_profit)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 22:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFCount(col 22:decimal(7,2)/DECIMAL_64) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 2:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: ss_item_sk (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -153,24 +221,55 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287997817 Data size: 25407250999 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 17
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: ((ss_store_sk = 410) and ss_hdemo_sk is null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 7:int, val 410), SelectColumnIsNull(col 5:int))
predicate: ((ss_store_sk = 410) and ss_hdemo_sk is null) (type: boolean)
Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_net_profit (type: decimal(7,2))
outputColumnNames: _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [22]
Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1), count(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 22:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFCount(col 22:decimal(7,2)/DECIMAL_64) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: ConstantVectorExpression(val 410) -> 24:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: 410 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -179,14 +278,41 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -194,12 +320,26 @@ STAGE PLANS:
Select Operator
expressions: (_col1 / _col2) (type: decimal(37,22))
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
+ selectExpressions: DecimalColDivideDecimalColumn(col 1:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 2:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(37,22))
Reducer 12
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -217,9 +357,23 @@ STAGE PLANS:
value expressions: _col1 (type: string)
Reducer 14
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -227,12 +381,26 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), (_col1 / _col2) (type: decimal(37,22))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
+ selectExpressions: DecimalColDivideDecimalColumn(col 1:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 2:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: decimal(37,22))
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -254,10 +422,20 @@ STAGE PLANS:
value expressions: _col0 (type: int)
Reducer 16
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), KEY.reducesinkkey1 (type: decimal(37,22))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 1]
Statistics: Num rows: 3455947584198744 Data size: 613225345280533248 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -279,25 +457,59 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [col 1:decimal(37,22)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [col 1:decimal(37,22)]
+ partitionExpressions: [ConstantVectorExpression(val 0) -> 4:int]
Statistics: Num rows: 3455947584198744 Data size: 613225345280533248 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColLessLongScalar(col 3:int, val 11), SelectColumnIsNotNull(col 2:int))
predicate: ((rank_window_0 < 11) and _col0 is not null) (type: boolean)
Statistics: Num rows: 1151982528066248 Data size: 204408448426844416 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: int), rank_window_0 (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3]
Statistics: Num rows: 1151982528066248 Data size: 204408448426844416 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1151982528066248 Data size: 204408448426844416 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Reducer 18
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -305,12 +517,26 @@ STAGE PLANS:
Select Operator
expressions: (_col1 / _col2) (type: decimal(37,22))
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
+ selectExpressions: DecimalColDivideDecimalColumn(col 1:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 2:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(37,22))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -327,6 +553,11 @@ STAGE PLANS:
Statistics: Num rows: 1267180808338276 Data size: 224849298143006048 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -348,16 +579,32 @@ STAGE PLANS:
value expressions: _col1 (type: string), _col2 (type: string)
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: int), VALUE._col0 (type: string), VALUE._col1 (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
Statistics: Num rows: 1393898919384048 Data size: 247334233318131680 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 17700 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 17700 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
@@ -365,9 +612,23 @@ STAGE PLANS:
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -375,12 +636,26 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), (_col1 / _col2) (type: decimal(37,22))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
+ selectExpressions: DecimalColDivideDecimalColumn(col 1:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 2:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: decimal(37,22))
Reducer 7
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -402,10 +677,20 @@ STAGE PLANS:
value expressions: _col0 (type: int)
Reducer 8
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), KEY.reducesinkkey1 (type: decimal(37,22))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 1]
Statistics: Num rows: 3455947584198744 Data size: 613225345280533248 Basic stats: COMPLETE Column stats: NONE
PTF Operator
Function definitions:
@@ -427,18 +712,38 @@ STAGE PLANS:
window function: GenericUDAFRankEvaluator
window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX)
isPivotResult: true
+ PTF Vectorization:
+ className: VectorPTFOperator
+ evaluatorClasses: [VectorPTFEvaluatorRank]
+ functionInputExpressions: [col 1:decimal(37,22)]
+ functionNames: [rank]
+ native: true
+ orderExpressions: [col 1:decimal(37,22)]
+ partitionExpressions: [ConstantVectorExpression(val 0) -> 4:int]
Statistics: Num rows: 3455947584198744 Data size: 613225345280533248 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColLessLongScalar(col 3:int, val 11), SelectColumnIsNotNull(col 2:int))
predicate: ((rank_window_0 < 11) and _col0 is not null) (type: boolean)
Statistics: Num rows: 1151982528066248 Data size: 204408448426844416 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: _col0 (type: int), rank_window_0 (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3]
Statistics: Num rows: 1151982528066248 Data size: 204408448426844416 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1151982528066248 Data size: 204408448426844416 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
[44/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query17.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query17.q.out b/ql/src/test/results/clientpositive/perf/spark/query17.q.out
index 35405a7..87614e1 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query17.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query17.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_item_id
,i_item_desc
,s_state
@@ -42,7 +42,7 @@ select i_item_id
,s_state
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_item_id
,i_item_desc
,s_state
@@ -86,6 +86,10 @@ select i_item_id
,s_state
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -102,18 +106,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int), s_state (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 24]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -136,138 +162,304 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_item_sk is not null and ss_ticket_number is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_quantity (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 7, 9, 10]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: d3
filterExpr: ((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 15, values 2000Q1, 2000Q2, 2000Q3), SelectColumnIsNotNull(col 0:int))
predicate: ((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: (sr_customer_sk is not null and sr_item_sk is not null and sr_ticket_number is not null and sr_returned_date_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 9:int), SelectColumnIsNotNull(col 0:int))
predicate: (sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_returned_date_sk (type: int), sr_item_sk (type: int), sr_customer_sk (type: int), sr_ticket_number (type: int), sr_return_quantity (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 9, 10]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: d2
filterExpr: ((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 15, values 2000Q1, 2000Q2, 2000Q3), SelectColumnIsNotNull(col 0:int))
predicate: ((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: d1
filterExpr: ((d_quarter_name = '2000Q1') and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 15:string, val 2000Q1), SelectColumnIsNotNull(col 0:int))
predicate: ((d_quarter_name = '2000Q1') and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string), i_item_desc (type: string)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 4]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int), cs_item_sk (type: int), cs_quantity (type: int)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 15, 18]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -284,6 +476,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int)
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -300,6 +497,11 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col10 (type: int)
Reducer 14
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -316,6 +518,11 @@ STAGE PLANS:
Statistics: Num rows: 63350266 Data size: 4908414421 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int), _col4 (type: int)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -332,6 +539,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -350,6 +562,11 @@ STAGE PLANS:
Reducer 4
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -388,9 +605,23 @@ STAGE PLANS:
value expressions: _col3 (type: bigint), _col4 (type: bigint), _col5 (type: double), _col6 (type: double), _col7 (type: bigint), _col8 (type: bigint), _col9 (type: double), _col10 (type: double), _col11 (type: bigint), _col12 (type: bigint), _col13 (type: double), _col14 (type: double)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), count(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6), sum(VALUE._col7), count(VALUE._col8), sum(VALUE._col9), sum(VALUE._col10), sum(VALUE._col11)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint, VectorUDAFSumLong(col 4:bigint) -> bigint, VectorUDAFSumDouble(col 5:double) -> double, VectorUDAFSumDouble(col 6:double) -> double, VectorUDAFCountMerge(col 7:bigint) -> bigint, VectorUDAFSumLong(col 8:bigint) -> bigint, VectorUDAFSumDouble(col 9:double) -> double, VectorUDAFSumDouble(col 10:double) -> double, VectorUDAFCountMerge(col 11:bigint) -> bigint, VectorUDAFSumLong(col 12:bigint) -> bigint, VectorUDAFSumDouble(col 13:double) -> double, VectorUDAFSumDouble(col 14:double) -> double
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
@@ -398,25 +629,50 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: bigint), (_col4 / _col3) (type: double), power(((_col5 - ((_col6 * _col6) / _col3)) / CASE WHEN ((_col3 = 1L)) THEN (null) ELSE ((_col3 - 1)) END), 0.5) (type: double), (power(((_col5 - ((_col6 * _col6) / _col3)) / CASE WHEN ((_col3 = 1L)) THEN (null) ELSE ((_col3 - 1)) END), 0.5) / (_col4 / _col3)) (type: double), _col7 (type: bigint), (_col8 / _col7) (type: double), power(((_col9 - ((_col10 * _col10) / _col7)) / CASE WHEN ((_col7 = 1L)) THEN (null) ELSE ((_col7 - 1)) END), 0.5) (type: double), (power(((_col9 - ((_col10 * _col10) / _col7)) / CASE WHEN ((_col7 = 1L)) THEN (null) ELSE ((_col7 - 1)) END), 0.5) / (_col8 / _col7)) (type: double), _col11 (type: bigint), (_col12 / _col11) (type: double), (power(((_col13 - ((_col14 * _col14) / _col11)) / CASE WHEN ((_col11 = 1L)) THEN (null) ELSE ((_col11 - 1)) END), 0.5) / (_col12 / _col11)) (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 15, 16, 24, 7, 17, 21, 31, 11, 25, 35]
+ selectExpressions: LongColDivideLongColumn(col 4:bigint, col 3:bigint) -> 15:double, FuncPowerDoubleToDouble(col 17:double)(children: DoubleColDivideLongColumn(col 16:double, col 20:bigint)(children: DoubleColSubtractDoubleColumn(col 5:double, col 17:double)(children: DoubleColDivideLongColumn(col 16:double, col 3:bigint)(children: DoubleColMultiplyDoubleColumn(col 6:double, col 6:double) -> 16:double) -> 17:double) -> 16:double, IfExprNullCondExpr(col 18:boolean, null, col 19:bigint)(children: LongColEqualLongScalar(col 3:bigint, val 1) -> 18:boolean, LongColSubtractLongScalar(col 3:bigint, val 1) -> 19:bigint) -> 20:bigint) -> 17:double) -> 16:double, DoubleColDivideDoubleColumn(col 17:double, col 21:double)(children: FuncPowerDoubleToDouble(col 21:double)(children: DoubleColDivideLongColumn(col 17:double, col 23:bigint)(children: DoubleColSubtractDoubleColumn(col 5:double, col 21:double)(children: DoubleColDivideLongColumn(col 17:double, col 3:bigint)(childr
en: DoubleColMultiplyDoubleColumn(col 6:double, col 6:double) -> 17:double) -> 21:double) -> 17:double, IfExprNullCondExpr(col 20:boolean, null, col 22:bigint)(children: LongColEqualLongScalar(col 3:bigint, val 1) -> 20:boolean, LongColSubtractLongScalar(col 3:bigint, val 1) -> 22:bigint) -> 23:bigint) -> 21:double) -> 17:double, LongColDivideLongColumn(col 4:bigint, col 3:bigint) -> 21:double) -> 24:double, LongColDivideLongColumn(col 8:bigint, col 7:bigint) -> 17:double, FuncPowerDoubleToDouble(col 25:double)(children: DoubleColDivideLongColumn(col 21:double, col 27:bigint)(children: DoubleColSubtractDoubleColumn(col 9:double, col 25:double)(children: DoubleColDivideLongColumn(col 21:double, col 7:bigint)(children: DoubleColMultiplyDoubleColumn(col 10:double, col 10:double) -> 21:double) -> 25:double) -> 21:double, IfExprNullCondExpr(col 23:boolean, null, col 26:bigint)(children: LongColEqualLongScalar(col 7:bigint, val 1) -> 23:boolean, LongColSubtractLongScalar(col 7:bigint, val
1) -> 26:bigint) -> 27:bigint) -> 25:double) -> 21:double, DoubleColDivideDoubleColumn(col 25:double, col 28:double)(children: FuncPowerDoubleToDouble(col 28:double)(children: DoubleColDivideLongColumn(col 25:double, col 30:bigint)(children: DoubleColSubtractDoubleColumn(col 9:double, col 28:double)(children: DoubleColDivideLongColumn(col 25:double, col 7:bigint)(children: DoubleColMultiplyDoubleColumn(col 10:double, col 10:double) -> 25:double) -> 28:double) -> 25:double, IfExprNullCondExpr(col 27:boolean, null, col 29:bigint)(children: LongColEqualLongScalar(col 7:bigint, val 1) -> 27:boolean, LongColSubtractLongScalar(col 7:bigint, val 1) -> 29:bigint) -> 30:bigint) -> 28:double) -> 25:double, LongColDivideLongColumn(col 8:bigint, col 7:bigint) -> 28:double) -> 31:double, LongColDivideLongColumn(col 12:bigint, col 11:bigint) -> 25:double, DoubleColDivideDoubleColumn(col 28:double, col 32:double)(children: FuncPowerDoubleToDouble(col 32:double)(children: DoubleColDivideLongColumn
(col 28:double, col 34:bigint)(children: DoubleColSubtractDoubleColumn(col 13:double, col 32:double)(children: DoubleColDivideLongColumn(col 28:double, col 11:bigint)(children: DoubleColMultiplyDoubleColumn(col 14:double, col 14:double) -> 28:double) -> 32:double) -> 28:double, IfExprNullCondExpr(col 30:boolean, null, col 33:bigint)(children: LongColEqualLongScalar(col 11:bigint, val 1) -> 30:boolean, LongColSubtractLongScalar(col 11:bigint, val 1) -> 33:bigint) -> 34:bigint) -> 32:double) -> 28:double, LongColDivideLongColumn(col 12:bigint, col 11:bigint) -> 32:double) -> 35:double
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
sort order: +++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: bigint), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: bigint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: bigint), _col12 (type: double), _col13 (type: double)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: bigint), VALUE._col5 (type: double), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: bigint), VALUE._col9 (type: double), VALUE._col10 (type: double), VALUE._col10 (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 13]
Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query18.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query18.q.out b/ql/src/test/results/clientpositive/perf/spark/query18.q.out
index 3ebd215..9ecd2be 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query18.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query18.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_item_id,
ca_country,
ca_state,
@@ -31,7 +31,7 @@ select i_item_id,
i_item_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_item_id,
ca_country,
ca_state,
@@ -64,6 +64,10 @@ select i_item_id,
i_item_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -88,139 +92,305 @@ STAGE PLANS:
alias: customer
filterExpr: ((c_birth_month) IN (9, 5, 12, 4, 1, 10) and c_customer_sk is not null and c_current_cdemo_sk is not null and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 12:int, values [9, 5, 12, 4, 1, 10]), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 4:int))
predicate: ((c_birth_month) IN (9, 5, 12, 4, 1, 10) and c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_cdemo_sk (type: int), c_current_addr_sk (type: int), c_birth_year (type: int)
outputColumnNames: _col0, _col1, _col2, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4, 13]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int)
sort order: +
Map-reduce partition columns: _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: int), _col4 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2001), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2001) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: cd1
filterExpr: ((cd_gender = 'M') and (cd_education_status = 'College') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 1:string, val M), FilterStringGroupColEqualStringScalar(col 3:string, val College), SelectColumnIsNotNull(col 0:int))
predicate: ((cd_education_status = 'College') and (cd_gender = 'M') and cd_demo_sk is not null) (type: boolean)
Statistics: Num rows: 465450 Data size: 179296539 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int), cd_dep_count (type: int)
outputColumnNames: _col0, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6]
Statistics: Num rows: 465450 Data size: 179296539 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 465450 Data size: 179296539 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 15
Map Operator Tree:
TableScan
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_state) IN ('ND', 'WI', 'AL', 'NC', 'OK', 'MS', 'TN') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 8, values ND, WI, AL, NC, OK, MS, TN), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_state) IN ('ND', 'WI', 'AL', 'NC', 'OK', 'MS', 'TN') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int), ca_county (type: string), ca_state (type: string), ca_country (type: string)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 8, 10]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: cd2
filterExpr: cd_demo_sk is not null (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cd_demo_sk is not null (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_bill_cdemo_sk is not null and cs_bill_customer_sk is not null and cs_sold_date_sk is not null and cs_item_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 15:int))
predicate: (cs_bill_cdemo_sk is not null and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_customer_sk (type: int), cs_bill_cdemo_sk (type: int), cs_item_sk (type: int), cs_quantity (type: int), cs_list_price (type: decimal(7,2)), cs_sales_price (type: decimal(7,2)), cs_coupon_amt (type: decimal(7,2)), cs_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 4, 15, 18, 20, 21, 27, 33]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col8 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -237,6 +407,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col8 (type: decimal(7,2))
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -253,6 +428,11 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col8 (type: decimal(7,2)), _col14 (type: int)
Reducer 12
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -273,6 +453,11 @@ STAGE PLANS:
Statistics: Num rows: 383314495 Data size: 51908482889 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col6 (type: int), _col7 (type: decimal(7,2)), _col8 (type: decimal(7,2)), _col9 (type: decimal(7,2)), _col10 (type: decimal(7,2)), _col16 (type: int)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -289,6 +474,11 @@ STAGE PLANS:
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col4 (type: int), _col6 (type: string), _col7 (type: string), _col8 (type: string)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -305,6 +495,11 @@ STAGE PLANS:
Statistics: Num rows: 96800003 Data size: 83249958789 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: int), _col6 (type: string), _col7 (type: string), _col8 (type: string)
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -332,9 +527,23 @@ STAGE PLANS:
value expressions: _col5 (type: decimal(22,2)), _col6 (type: bigint), _col7 (type: decimal(22,2)), _col8 (type: bigint), _col9 (type: decimal(22,2)), _col10 (type: bigint), _col11 (type: decimal(22,2)), _col12 (type: bigint), _col13 (type: decimal(22,2)), _col14 (type: bigint), _col15 (type: decimal(22,2)), _col16 (type: bigint), _col17 (type: decimal(22,2)), _col18 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1), sum(VALUE._col2), count(VALUE._col3), sum(VALUE._col4), count(VALUE._col5), sum(VALUE._col6), count(VALUE._col7), sum(VALUE._col8), count(VALUE._col9), sum(VALUE._col10), count(VALUE._col11), sum(VALUE._col12), count(VALUE._col13)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 5:decimal(22,2)) -> decimal(22,2), VectorUDAFCountMerge(col 6:bigint) -> bigint, VectorUDAFSumDecimal(col 7:decimal(22,2)) -> decimal(22,2), VectorUDAFCountMerge(col 8:bigint) -> bigint, VectorUDAFSumDecimal(col 9:decimal(22,2)) -> decimal(22,2), VectorUDAFCountMerge(col 10:bigint) -> bigint, VectorUDAFSumDecimal(col 11:decimal(22,2)) -> decimal(22,2), VectorUDAFCountMerge(col 12:bigint) -> bigint, VectorUDAFSumDecimal(col 13:decimal(22,2)) -> decimal(22,2), VectorUDAFCountMerge(col 14:bigint) -> bigint, VectorUDAFSumDecimal(col 15:decimal(22,2)) -> decimal(22,2), VectorUDAFCountMerge(col 16:bigint) -> bigint, VectorUDAFSumDecimal(col 17:decimal(22,2)) -> decimal(22,2), VectorUDAFCountMerge(col 18:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:bigint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: bigint)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18
@@ -343,25 +552,50 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), (_col5 / _col6) (type: decimal(38,18)), (_col7 / _col8) (type: decimal(38,18)), (_col9 / _col10) (type: decimal(38,18)), (_col11 / _col12) (type: decimal(38,18)), (_col13 / _col14) (type: decimal(38,18)), (_col15 / _col16) (type: decimal(38,18)), (_col17 / _col18) (type: decimal(38,18))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 19, 20, 21, 22, 23, 24, 25]
+ selectExpressions: DecimalColDivideDecimalColumn(col 4:decimal(22,2), col 18:decimal(19,0))(children: CastLongToDecimal(col 5:bigint) -> 18:decimal(19,0)) -> 19:decimal(38,18), DecimalColDivideDecimalColumn(col 6:decimal(22,2), col 18:decimal(19,0))(children: CastLongToDecimal(col 7:bigint) -> 18:decimal(19,0)) -> 20:decimal(38,18), DecimalColDivideDecimalColumn(col 8:decimal(22,2), col 18:decimal(19,0))(children: CastLongToDecimal(col 9:bigint) -> 18:decimal(19,0)) -> 21:decimal(38,18), DecimalColDivideDecimalColumn(col 10:decimal(22,2), col 18:decimal(19,0))(children: CastLongToDecimal(col 11:bigint) -> 18:decimal(19,0)) -> 22:decimal(38,18), DecimalColDivideDecimalColumn(col 12:decimal(22,2), col 18:decimal(19,0))(children: CastLongToDecimal(col 13:bigint) -> 18:decimal(19,0)) -> 23:decimal(38,18), DecimalColDivideDecimalColumn(col 14:decimal(22,2), col 18:decimal(19,0))(children: CastLongToDecimal(col 15:bigint) -> 18:decimal(19,0)) -> 24:decimal(38,18), De
cimalColDivideDecimalColumn(col 16:decimal(22,2), col 18:decimal(19,0))(children: CastLongToDecimal(col 17:bigint) -> 18:decimal(19,0)) -> 25:decimal(38,18)
Statistics: Num rows: 1054114882 Data size: 142748330969 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col0 (type: string)
sort order: ++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1054114882 Data size: 142748330969 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col4 (type: decimal(38,18)), _col5 (type: decimal(38,18)), _col6 (type: decimal(38,18)), _col7 (type: decimal(38,18)), _col8 (type: decimal(38,18)), _col9 (type: decimal(38,18)), _col10 (type: decimal(38,18))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey3 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), VALUE._col0 (type: decimal(38,18)), VALUE._col1 (type: decimal(38,18)), VALUE._col2 (type: decimal(38,18)), VALUE._col3 (type: decimal(38,18)), VALUE._col4 (type: decimal(38,18)), VALUE._col5 (type: decimal(38,18)), VALUE._col6 (type: decimal(38,18))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 0, 1, 2, 4, 5, 6, 7, 8, 9, 10]
Statistics: Num rows: 1054114882 Data size: 142748330969 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[18/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query61.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query61.q.out b/ql/src/test/results/clientpositive/perf/spark/query61.q.out
index c178b5a..f1b5f9d 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query61.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query61.q.out
@@ -1,5 +1,5 @@
Warning: Map Join MAPJOIN[105][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
from
(select sum(ss_ext_sales_price) promotions
@@ -42,7 +42,7 @@ from
order by promotions, total
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
from
(select sum(ss_ext_sales_price) promotions
@@ -85,6 +85,10 @@ from
order by promotions, total
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-3 is a root stage
Stage-2 depends on stages: Stage-3
@@ -103,18 +107,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_gmt_offset = -7) and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 27:decimal(5,2)/DECIMAL_64, val -700), SelectColumnIsNotNull(col 0:int))
predicate: ((s_gmt_offset = -7) and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -134,98 +160,218 @@ STAGE PLANS:
alias: customer
filterExpr: (c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_addr_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_gmt_offset = -7) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 11:decimal(5,2)/DECIMAL_64, val -700), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_gmt_offset = -7) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 19
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_store_sk is not null and ss_sold_date_sk is not null and ss_customer_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 7, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 22
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 11) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 11), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 11) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 23
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_category = 'Electronics') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 12:string, val Electronics), SelectColumnIsNotNull(col 0:int))
predicate: ((i_category = 'Electronics') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -241,6 +387,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -263,17 +414,38 @@ STAGE PLANS:
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
Reducer 20
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -292,6 +464,11 @@ STAGE PLANS:
Reducer 21
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -328,18 +505,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_gmt_offset = -7) and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 27:decimal(5,2)/DECIMAL_64, val -700), SelectColumnIsNotNull(col 0:int))
predicate: ((s_gmt_offset = -7) and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col3 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 13
@@ -348,18 +547,40 @@ STAGE PLANS:
alias: promotion
filterExpr: (((p_channel_dmail = 'Y') or (p_channel_email = 'Y') or (p_channel_tv = 'Y')) and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterStringGroupColEqualStringScalar(col 8:string, val Y), FilterStringGroupColEqualStringScalar(col 9:string, val Y), FilterStringGroupColEqualStringScalar(col 11:string, val Y)), SelectColumnIsNotNull(col 0:int))
predicate: (((p_channel_dmail = 'Y') or (p_channel_email = 'Y') or (p_channel_tv = 'Y')) and p_promo_sk is not null) (type: boolean)
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: p_promo_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col4 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -380,98 +601,218 @@ STAGE PLANS:
alias: customer
filterExpr: (c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 4:int))
predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_addr_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 11) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 11), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 11) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_category = 'Electronics') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 12:string, val Electronics), SelectColumnIsNotNull(col 0:int))
predicate: ((i_category = 'Electronics') and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_gmt_offset = -7) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 11:decimal(5,2)/DECIMAL_64, val -700), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_gmt_offset = -7) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_store_sk is not null and ss_promo_sk is not null and ss_sold_date_sk is not null and ss_customer_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 8:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_promo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_promo_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3, 7, 8, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -487,6 +828,11 @@ STAGE PLANS:
Map-reduce partition columns: _col0 (type: int)
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -509,9 +855,22 @@ STAGE PLANS:
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE
@@ -521,6 +880,10 @@ STAGE PLANS:
keys:
0
1
+ Map Join Vectorization:
+ className: VectorMapJoinInnerMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0, _col1
input vertices:
1 Reducer 17
@@ -528,31 +891,61 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: decimal(17,2)), _col1 (type: decimal(17,2)), ((CAST( _col0 AS decimal(15,4)) / CAST( _col1 AS decimal(15,4))) * 100) (type: decimal(38,19))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 5]
+ selectExpressions: DecimalColMultiplyDecimalScalar(col 4:decimal(35,20), val 100)(children: DecimalColDivideDecimalColumn(col 2:decimal(15,4), col 3:decimal(15,4))(children: CastDecimalToDecimal(col 0:decimal(17,2)) -> 2:decimal(15,4), CastDecimalToDecimal(col 1:decimal(17,2)) -> 3:decimal(15,4)) -> 4:decimal(35,20)) -> 5:decimal(38,19)
Statistics: Num rows: 1 Data size: 225 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: decimal(17,2)), _col1 (type: decimal(17,2))
sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 225 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col2 (type: decimal(38,19))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: decimal(17,2)), KEY.reducesinkkey1 (type: decimal(17,2)), VALUE._col0 (type: decimal(38,19))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
Statistics: Num rows: 1 Data size: 225 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 1 Data size: 225 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 1 Data size: 225 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 8
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -571,6 +964,11 @@ STAGE PLANS:
Reducer 9
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query63.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query63.q.out b/ql/src/test/results/clientpositive/perf/spark/query63.q.out
index 0b1614f..dbfd751 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query63.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query63.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select *
from (select i_manager_id
,sum(ss_sales_price) sum_sales
@@ -26,7 +26,7 @@ order by i_manager_id
,sum_sales
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select *
from (select i_manager_id
,sum(ss_sales_price) sum_sales
@@ -54,6 +54,10 @@ order by i_manager_id
,sum_sales
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -70,18 +74,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -100,61 +126,135 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 7, 13]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 6
Map Operator Tree:
TableScan
alias: item
filterExpr: ((((i_category) IN ('Books', 'Children', 'Electronics') and (i_class) IN ('personal', 'portable', 'refernece', 'self-help') and (i_brand) IN ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9')) or ((i_category) IN ('Women', 'Music', 'Men') and (i_class) IN ('accessories', 'classical', 'fragrances', 'pants') and (i_brand) IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterStringColumnInList(col 12, values Books, Children, Electronics), FilterStringColumnInList(col 10, values personal, portable, refernece, self-help), FilterStringColumnInList(col 8, values scholaramalgamalg #14, scholaramalgamalg #7, exportiunivamalg #9, scholaramalgamalg #9)), FilterExprAndExpr(children: FilterStringColumnInList(col 12, values Women, Music, Men), FilterStringColumnInList(col 10, values accessories, classical, fragrances, pants), FilterStringColumnInList(col 8, values amalgimporto #1, edu packscholar #1, exportiimporto #1, importoamalg #1))), SelectColumnIsNotNull(col 0:int))
predicate: ((((i_category) IN ('Books', 'Children', 'Electronics') and (i_class) IN ('personal', 'portable', 'refernece', 'self-help') and (i_brand) IN ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9')) or ((i_category) IN ('Women', 'Music', 'Men') and (i_class) IN ('accessories', 'classical', 'fragrances', 'pants') and (i_brand) IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_manager_id (type: int)
outputColumnNames: _col0, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 20]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col4 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_month_seq) IN (1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnInList(col 3:int, values [1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223]), SelectColumnIsNotNull(col 0:int))
predicate: ((d_month_seq) IN (1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_moy (type: int)
outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8]
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -173,6 +273,11 @@ STAGE PLANS:
Reducer 3
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -205,6 +310,11 @@ STAGE PLANS:
Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: PTF operator: Only PTF directly under reduce-shuffle is supported
+ vectorized: false
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
@@ -254,16 +364,32 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey2 (type: decimal(17,2)), KEY.reducesinkkey1 (type: decimal(21,6))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 1]
Statistics: Num rows: 191662559 Data size: 16908526602 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[47/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query10.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query10.q.out b/ql/src/test/results/clientpositive/perf/spark/query10.q.out
index b7faa9a..7aa9099 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query10.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query10.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select
cd_gender,
cd_marital_status,
@@ -56,7 +56,7 @@ select
cd_dep_college_count
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select
cd_gender,
cd_marital_status,
@@ -114,6 +114,10 @@ select
cd_dep_college_count
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -132,18 +136,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 2002) and d_moy BETWEEN 4 AND 7 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), FilterLongColumnBetween(col 8:int, left 4, right 7), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null and d_moy BETWEEN 4 AND 7) (type: boolean)
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -157,18 +183,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 2002) and d_moy BETWEEN 4 AND 7 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), FilterLongColumnBetween(col 8:int, left 4, right 7), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null and d_moy BETWEEN 4 AND 7) (type: boolean)
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -182,18 +230,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: ((d_year = 2002) and d_moy BETWEEN 4 AND 7 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2002), FilterLongColumnBetween(col 8:int, left 4, right 7), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2002) and d_date_sk is not null and d_moy BETWEEN 4 AND 7) (type: boolean)
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4058 Data size: 4540902 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -215,32 +285,65 @@ STAGE PLANS:
alias: c
filterExpr: (c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 0:int))
predicate: (c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_customer_sk is not null) (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_current_cdemo_sk (type: int), c_current_addr_sk (type: int)
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col2 (type: int)
sort order: +
Map-reduce partition columns: _col2 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int), _col1 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 11
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 4:int), SelectColumnIsNotNull(col 0:int))
predicate: (ws_bill_customer_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_bill_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -248,11 +351,22 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
1 Map 13
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 4:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col1 (type: int)
mode: hash
outputColumnNames: _col0
@@ -261,8 +375,21 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 14
@@ -271,12 +398,22 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_ship_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_ship_customer_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_ship_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -284,11 +421,22 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
1 Map 16
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 7:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col1 (type: int)
mode: hash
outputColumnNames: _col0
@@ -297,8 +445,21 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 7
@@ -307,51 +468,107 @@ STAGE PLANS:
alias: ca
filterExpr: ((ca_county) IN ('Walker County', 'Richland County', 'Gaines County', 'Douglas County', 'Dona Ana County') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColumnInList(col 7, values Walker County, Richland County, Gaines County, Douglas County, Dona Ana County), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_county) IN ('Walker County', 'Richland County', 'Gaines County', 'Douglas County', 'Dona Ana County') and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 8
Map Operator Tree:
TableScan
alias: customer_demographics
filterExpr: cd_demo_sk is not null (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cd_demo_sk is not null (type: boolean)
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cd_demo_sk (type: int), cd_gender (type: string), cd_marital_status (type: string), cd_education_status (type: string), cd_purchase_estimate (type: int), cd_credit_rating (type: string), cd_dep_count (type: int), cd_dep_employed_count (type: int), cd_dep_college_count (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8]
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int), _col5 (type: string), _col6 (type: int), _col7 (type: int), _col8 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:int), SelectColumnIsNotNull(col 0:int))
predicate: (ss_customer_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -359,6 +576,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1
input vertices:
1 Map 10
@@ -366,8 +587,19 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3]
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 3:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0
@@ -376,14 +608,40 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
@@ -391,17 +649,39 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), true (type: boolean)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
+ selectExpressions: ConstantVectorExpression(val 1) -> 1:boolean
Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: boolean)
Reducer 15
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
@@ -409,14 +689,28 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), true (type: boolean)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
+ selectExpressions: ConstantVectorExpression(val 1) -> 1:boolean
Statistics: Num rows: 158394413 Data size: 21449785388 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158394413 Data size: 21449785388 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: boolean)
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -433,6 +727,11 @@ STAGE PLANS:
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -449,6 +748,11 @@ STAGE PLANS:
Statistics: Num rows: 96800003 Data size: 83249958789 Basic stats: COMPLETE Column stats: NONE
value expressions: _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: int), _col10 (type: string), _col11 (type: int), _col12 (type: int), _col13 (type: int)
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -484,9 +788,23 @@ STAGE PLANS:
value expressions: _col8 (type: bigint)
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: count(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 8:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:int, col 4:string, col 5:int, col 6:int, col 7:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: int), KEY._col4 (type: string), KEY._col5 (type: int), KEY._col6 (type: int), KEY._col7 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
@@ -494,25 +812,49 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col8 (type: bigint), _col3 (type: int), _col4 (type: string), _col5 (type: int), _col6 (type: int), _col7 (type: int)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col6, _col8, _col10, _col12
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 8, 3, 4, 5, 6, 7]
Statistics: Num rows: 1045432122 Data size: 92228325287 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col4 (type: int), _col6 (type: string), _col8 (type: int), _col10 (type: int), _col12 (type: int)
sort order: ++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1045432122 Data size: 92228325287 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: bigint)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), VALUE._col0 (type: bigint), KEY.reducesinkkey3 (type: int), VALUE._col0 (type: bigint), KEY.reducesinkkey4 (type: string), VALUE._col0 (type: bigint), KEY.reducesinkkey5 (type: int), VALUE._col0 (type: bigint), KEY.reducesinkkey6 (type: int), VALUE._col0 (type: bigint), KEY.reducesinkkey7 (type: int), VALUE._col0 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 8, 3, 8, 4, 8, 5, 8, 6, 8, 7, 8]
Statistics: Num rows: 1045432122 Data size: 92228325287 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[49/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query39.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query39.q b/ql/src/test/queries/clientpositive/perf/query39.q
index d3c806d..d3b981a 100644
--- a/ql/src/test/queries/clientpositive/perf/query39.q
+++ b/ql/src/test/queries/clientpositive/perf/query39.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query39.tpl and seed 1327317894
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query39.tpl and seed 1327317894
+explain vectorization expression
with inv as
(select w_warehouse_name,w_warehouse_sk,i_item_sk,d_moy
,stdev,mean, case mean when 0 then null else stdev/mean end cov
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query4.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query4.q b/ql/src/test/queries/clientpositive/perf/query4.q
index 631a464..dbd605e 100644
--- a/ql/src/test/queries/clientpositive/perf/query4.q
+++ b/ql/src/test/queries/clientpositive/perf/query4.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query4.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query4.tpl and seed 1819994127
+explain vectorization expression
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query40.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query40.q b/ql/src/test/queries/clientpositive/perf/query40.q
index 61f5ad3..8432546 100644
--- a/ql/src/test/queries/clientpositive/perf/query40.q
+++ b/ql/src/test/queries/clientpositive/perf/query40.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query40.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query40.tpl and seed 1819994127
+explain vectorization expression
select
w_state
,i_item_id
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query42.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query42.q b/ql/src/test/queries/clientpositive/perf/query42.q
index 6b8abe0..b5c6f3f 100644
--- a/ql/src/test/queries/clientpositive/perf/query42.q
+++ b/ql/src/test/queries/clientpositive/perf/query42.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query42.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query42.tpl and seed 1819994127
+explain vectorization expression
select dt.d_year
,item.i_category_id
,item.i_category
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query43.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query43.q b/ql/src/test/queries/clientpositive/perf/query43.q
index ebdc69d..a92e04b 100644
--- a/ql/src/test/queries/clientpositive/perf/query43.q
+++ b/ql/src/test/queries/clientpositive/perf/query43.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query43.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query43.tpl and seed 1819994127
+explain vectorization expression
select s_store_name, s_store_id,
sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query44.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query44.q b/ql/src/test/queries/clientpositive/perf/query44.q
index 712bbfb..0e8a999 100644
--- a/ql/src/test/queries/clientpositive/perf/query44.q
+++ b/ql/src/test/queries/clientpositive/perf/query44.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query44.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query44.tpl and seed 1819994127
+explain vectorization expression
select asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing
from(select *
from (select item_sk,rank() over (order by rank_col asc) rnk
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query45.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query45.q b/ql/src/test/queries/clientpositive/perf/query45.q
index 4db3fb2..6e07969 100644
--- a/ql/src/test/queries/clientpositive/perf/query45.q
+++ b/ql/src/test/queries/clientpositive/perf/query45.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query45.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query45.tpl and seed 2031708268
+explain vectorization expression
select ca_zip, ca_county, sum(ws_sales_price)
from web_sales, customer, customer_address, date_dim, item
where ws_bill_customer_sk = c_customer_sk
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query46.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query46.q b/ql/src/test/queries/clientpositive/perf/query46.q
index 46f8be3..16473d5 100644
--- a/ql/src/test/queries/clientpositive/perf/query46.q
+++ b/ql/src/test/queries/clientpositive/perf/query46.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query46.tpl and seed 803547492
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query46.tpl and seed 803547492
+explain vectorization expression
select c_last_name
,c_first_name
,ca_city
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query47.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query47.q b/ql/src/test/queries/clientpositive/perf/query47.q
index 5c26ba5..82f79d7 100644
--- a/ql/src/test/queries/clientpositive/perf/query47.q
+++ b/ql/src/test/queries/clientpositive/perf/query47.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query47.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query47.tpl and seed 2031708268
+explain vectorization expression
with v1 as(
select i_category, i_brand,
s_store_name, s_company_name,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query48.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query48.q b/ql/src/test/queries/clientpositive/perf/query48.q
index cfff1d7..5acdc37 100644
--- a/ql/src/test/queries/clientpositive/perf/query48.q
+++ b/ql/src/test/queries/clientpositive/perf/query48.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query48.tpl and seed 622697896
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query48.tpl and seed 622697896
+explain vectorization expression
select sum (ss_quantity)
from store_sales, store, customer_demographics, customer_address, date_dim
where s_store_sk = ss_store_sk
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query49.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query49.q b/ql/src/test/queries/clientpositive/perf/query49.q
index 6c62e1f..f7bd398 100644
--- a/ql/src/test/queries/clientpositive/perf/query49.q
+++ b/ql/src/test/queries/clientpositive/perf/query49.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query49.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query49.tpl and seed 1819994127
+explain vectorization expression
select
'web' as channel
,web.item
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query5.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query5.q b/ql/src/test/queries/clientpositive/perf/query5.q
index bf61fb2..024c5f1 100644
--- a/ql/src/test/queries/clientpositive/perf/query5.q
+++ b/ql/src/test/queries/clientpositive/perf/query5.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query5.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query5.tpl and seed 1819994127
+explain vectorization expression
with ssr as
(select s_store_id,
sum(sales_price) as sales,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query50.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query50.q b/ql/src/test/queries/clientpositive/perf/query50.q
index 0e2caf6..8a4cde2 100644
--- a/ql/src/test/queries/clientpositive/perf/query50.q
+++ b/ql/src/test/queries/clientpositive/perf/query50.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query50.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query50.tpl and seed 1819994127
+explain vectorization expression
select
s_store_name
,s_company_id
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query51.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query51.q b/ql/src/test/queries/clientpositive/perf/query51.q
index 9f90525..3389d31 100644
--- a/ql/src/test/queries/clientpositive/perf/query51.q
+++ b/ql/src/test/queries/clientpositive/perf/query51.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query51.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query51.tpl and seed 1819994127
+explain vectorization expression
WITH web_v1 as (
select
ws_item_sk item_sk, d_date,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query52.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query52.q b/ql/src/test/queries/clientpositive/perf/query52.q
index 1fee846..80d43fb 100644
--- a/ql/src/test/queries/clientpositive/perf/query52.q
+++ b/ql/src/test/queries/clientpositive/perf/query52.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query52.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query52.tpl and seed 1819994127
+explain vectorization expression
select dt.d_year
,item.i_brand_id brand_id
,item.i_brand brand
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query53.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query53.q b/ql/src/test/queries/clientpositive/perf/query53.q
index 0b81574..cca02ca 100644
--- a/ql/src/test/queries/clientpositive/perf/query53.q
+++ b/ql/src/test/queries/clientpositive/perf/query53.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query53.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query53.tpl and seed 1819994127
+explain vectorization expression
select * from
(select i_manufact_id,
sum(ss_sales_price) sum_sales,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query54.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query54.q b/ql/src/test/queries/clientpositive/perf/query54.q
index 424f385..0307d67 100644
--- a/ql/src/test/queries/clientpositive/perf/query54.q
+++ b/ql/src/test/queries/clientpositive/perf/query54.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query54.tpl and seed 1930872976
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query54.tpl and seed 1930872976
+explain vectorization expression
with my_customers as (
select distinct c_customer_sk
, c_current_addr_sk
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query55.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query55.q b/ql/src/test/queries/clientpositive/perf/query55.q
index f953f11..50e156c 100644
--- a/ql/src/test/queries/clientpositive/perf/query55.q
+++ b/ql/src/test/queries/clientpositive/perf/query55.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query55.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query55.tpl and seed 2031708268
+explain vectorization expression
select i_brand_id brand_id, i_brand brand,
sum(ss_ext_sales_price) ext_price
from date_dim, store_sales, item
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query56.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query56.q b/ql/src/test/queries/clientpositive/perf/query56.q
index f3c8323..2edc02d 100644
--- a/ql/src/test/queries/clientpositive/perf/query56.q
+++ b/ql/src/test/queries/clientpositive/perf/query56.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query56.tpl and seed 1951559352
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query56.tpl and seed 1951559352
+explain vectorization expression
with ss as (
select i_item_id,sum(ss_ext_sales_price) total_sales
from
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query57.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query57.q b/ql/src/test/queries/clientpositive/perf/query57.q
index 4dc6e63..12b0a04 100644
--- a/ql/src/test/queries/clientpositive/perf/query57.q
+++ b/ql/src/test/queries/clientpositive/perf/query57.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query57.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query57.tpl and seed 2031708268
+explain vectorization expression
with v1 as(
select i_category, i_brand,
cc_name,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query58.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query58.q b/ql/src/test/queries/clientpositive/perf/query58.q
index 8d918ef..3d819d4 100644
--- a/ql/src/test/queries/clientpositive/perf/query58.q
+++ b/ql/src/test/queries/clientpositive/perf/query58.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query58.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query58.tpl and seed 1819994127
+explain vectorization expression
with ss_items as
(select i_item_id item_id
,sum(ss_ext_sales_price) ss_item_rev
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query59.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query59.q b/ql/src/test/queries/clientpositive/perf/query59.q
index 0999653..69bf2a5 100644
--- a/ql/src/test/queries/clientpositive/perf/query59.q
+++ b/ql/src/test/queries/clientpositive/perf/query59.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query59.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query59.tpl and seed 1819994127
+explain vectorization expression
with wss as
(select d_week_seq,
ss_store_sk,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query6.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query6.q b/ql/src/test/queries/clientpositive/perf/query6.q
index aabce52..e34fc85 100644
--- a/ql/src/test/queries/clientpositive/perf/query6.q
+++ b/ql/src/test/queries/clientpositive/perf/query6.q
@@ -1,8 +1,11 @@
set hive.auto.convert.join=true;
set hive.tez.cartesian-product.enabled=true;
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query6.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query6.tpl and seed 1819994127
+explain vectorization expression
select a.ca_state state, count(*) cnt
from customer_address a
,customer c
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query60.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query60.q b/ql/src/test/queries/clientpositive/perf/query60.q
index a5ab248..c2ced64 100644
--- a/ql/src/test/queries/clientpositive/perf/query60.q
+++ b/ql/src/test/queries/clientpositive/perf/query60.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query60.tpl and seed 1930872976
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query60.tpl and seed 1930872976
+explain vectorization expression
with ss as (
select
i_item_id,sum(ss_ext_sales_price) total_sales
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query61.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query61.q b/ql/src/test/queries/clientpositive/perf/query61.q
index edaf6f6..8ba4aec 100644
--- a/ql/src/test/queries/clientpositive/perf/query61.q
+++ b/ql/src/test/queries/clientpositive/perf/query61.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query61.tpl and seed 1930872976
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query61.tpl and seed 1930872976
+explain vectorization expression
select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100
from
(select sum(ss_ext_sales_price) promotions
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query63.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query63.q b/ql/src/test/queries/clientpositive/perf/query63.q
index 49e513c..de2c920 100644
--- a/ql/src/test/queries/clientpositive/perf/query63.q
+++ b/ql/src/test/queries/clientpositive/perf/query63.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query63.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query63.tpl and seed 1819994127
+explain vectorization expression
select *
from (select i_manager_id
,sum(ss_sales_price) sum_sales
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query64.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query64.q b/ql/src/test/queries/clientpositive/perf/query64.q
index b069c2a..ae6264a 100644
--- a/ql/src/test/queries/clientpositive/perf/query64.q
+++ b/ql/src/test/queries/clientpositive/perf/query64.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query64.tpl and seed 1220860970
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query64.tpl and seed 1220860970
+explain vectorization expression
with cs_ui as
(select cs_item_sk
,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query65.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query65.q b/ql/src/test/queries/clientpositive/perf/query65.q
index d5b53a2..6c98b85 100644
--- a/ql/src/test/queries/clientpositive/perf/query65.q
+++ b/ql/src/test/queries/clientpositive/perf/query65.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query65.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query65.tpl and seed 1819994127
+explain vectorization expression
select
s_store_name,
i_item_desc,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query66.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query66.q b/ql/src/test/queries/clientpositive/perf/query66.q
index 280bac8..a61f839 100644
--- a/ql/src/test/queries/clientpositive/perf/query66.q
+++ b/ql/src/test/queries/clientpositive/perf/query66.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query66.tpl and seed 2042478054
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query66.tpl and seed 2042478054
+explain vectorization expression
select
w_warehouse_name
,w_warehouse_sq_ft
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query67.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query67.q b/ql/src/test/queries/clientpositive/perf/query67.q
index c3ecf2a..d17c9e7 100644
--- a/ql/src/test/queries/clientpositive/perf/query67.q
+++ b/ql/src/test/queries/clientpositive/perf/query67.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query67.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query67.tpl and seed 1819994127
+explain vectorization expression
select *
from (select i_category
,i_class
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query68.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query68.q b/ql/src/test/queries/clientpositive/perf/query68.q
index 964dc8a..bd6bcb4 100644
--- a/ql/src/test/queries/clientpositive/perf/query68.q
+++ b/ql/src/test/queries/clientpositive/perf/query68.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query68.tpl and seed 803547492
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query68.tpl and seed 803547492
+explain vectorization expression
select c_last_name
,c_first_name
,ca_city
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query69.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query69.q b/ql/src/test/queries/clientpositive/perf/query69.q
index ce2d19c..739fee9 100644
--- a/ql/src/test/queries/clientpositive/perf/query69.q
+++ b/ql/src/test/queries/clientpositive/perf/query69.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query69.tpl and seed 797269820
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query69.tpl and seed 797269820
+explain vectorization expression
select
cd_gender,
cd_marital_status,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query7.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query7.q b/ql/src/test/queries/clientpositive/perf/query7.q
index 7bc1a00..427c415 100644
--- a/ql/src/test/queries/clientpositive/perf/query7.q
+++ b/ql/src/test/queries/clientpositive/perf/query7.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query7.tpl and seed 1930872976
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query7.tpl and seed 1930872976
+explain vectorization expression
select i_item_id,
avg(ss_quantity) agg1,
avg(ss_list_price) agg2,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query70.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query70.q b/ql/src/test/queries/clientpositive/perf/query70.q
index 7974976..153973d 100644
--- a/ql/src/test/queries/clientpositive/perf/query70.q
+++ b/ql/src/test/queries/clientpositive/perf/query70.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query70.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query70.tpl and seed 1819994127
+explain vectorization expression
select
sum(ss_net_profit) as total_sum
,s_state
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query71.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query71.q b/ql/src/test/queries/clientpositive/perf/query71.q
index ea6548e..0c5afad 100644
--- a/ql/src/test/queries/clientpositive/perf/query71.q
+++ b/ql/src/test/queries/clientpositive/perf/query71.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query71.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query71.tpl and seed 2031708268
+explain vectorization expression
select i_brand_id brand_id, i_brand brand,t_hour,t_minute,
sum(ext_price) ext_price
from item, (select ws_ext_sales_price as ext_price,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query72.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query72.q b/ql/src/test/queries/clientpositive/perf/query72.q
index 20fbcb1..8f69f01 100644
--- a/ql/src/test/queries/clientpositive/perf/query72.q
+++ b/ql/src/test/queries/clientpositive/perf/query72.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query72.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query72.tpl and seed 2031708268
+explain vectorization expression
select i_item_desc
,w_warehouse_name
,d1.d_week_seq
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query73.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query73.q b/ql/src/test/queries/clientpositive/perf/query73.q
index 42ccaa1..dbcf7fe 100644
--- a/ql/src/test/queries/clientpositive/perf/query73.q
+++ b/ql/src/test/queries/clientpositive/perf/query73.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query73.tpl and seed 1971067816
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query73.tpl and seed 1971067816
+explain vectorization expression
select c_last_name
,c_first_name
,c_salutation
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query74.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query74.q b/ql/src/test/queries/clientpositive/perf/query74.q
index b25db9c..0b63984 100644
--- a/ql/src/test/queries/clientpositive/perf/query74.q
+++ b/ql/src/test/queries/clientpositive/perf/query74.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query74.tpl and seed 1556717815
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query74.tpl and seed 1556717815
+explain vectorization expression
with year_total as (
select c_customer_id customer_id
,c_first_name customer_first_name
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query75.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query75.q b/ql/src/test/queries/clientpositive/perf/query75.q
index ac1fc38..798ecb3 100644
--- a/ql/src/test/queries/clientpositive/perf/query75.q
+++ b/ql/src/test/queries/clientpositive/perf/query75.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query75.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query75.tpl and seed 1819994127
+explain vectorization expression
WITH all_sales AS (
SELECT d_year
,i_brand_id
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query76.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query76.q b/ql/src/test/queries/clientpositive/perf/query76.q
index ca943ce..63ced5e 100644
--- a/ql/src/test/queries/clientpositive/perf/query76.q
+++ b/ql/src/test/queries/clientpositive/perf/query76.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query76.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query76.tpl and seed 2031708268
+explain vectorization expression
select channel, col_name, d_year, d_qoy, i_category, COUNT(*) sales_cnt, SUM(ext_sales_price) sales_amt FROM (
SELECT 'store' as channel, 'ss_addr_sk' col_name, d_year, d_qoy, i_category, ss_ext_sales_price ext_sales_price
FROM store_sales, item, date_dim
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query77.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query77.q b/ql/src/test/queries/clientpositive/perf/query77.q
index 2857813..4a2a5f8 100644
--- a/ql/src/test/queries/clientpositive/perf/query77.q
+++ b/ql/src/test/queries/clientpositive/perf/query77.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query77.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query77.tpl and seed 1819994127
+explain vectorization expression
with ss as
(select s_store_sk,
sum(ss_ext_sales_price) as sales,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query78.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query78.q b/ql/src/test/queries/clientpositive/perf/query78.q
index ca9e6d6..cafd299 100644
--- a/ql/src/test/queries/clientpositive/perf/query78.q
+++ b/ql/src/test/queries/clientpositive/perf/query78.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query78.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query78.tpl and seed 1819994127
+explain vectorization expression
with ws as
(select d_year AS ws_sold_year, ws_item_sk,
ws_bill_customer_sk ws_customer_sk,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query79.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query79.q b/ql/src/test/queries/clientpositive/perf/query79.q
index dfa7017..8cb2ae7 100644
--- a/ql/src/test/queries/clientpositive/perf/query79.q
+++ b/ql/src/test/queries/clientpositive/perf/query79.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query79.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query79.tpl and seed 2031708268
+explain vectorization expression
select
c_last_name,c_first_name,substr(s_city,1,30),ss_ticket_number,amt,profit
from
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query8.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query8.q b/ql/src/test/queries/clientpositive/perf/query8.q
index cfce366..65b7d8d 100644
--- a/ql/src/test/queries/clientpositive/perf/query8.q
+++ b/ql/src/test/queries/clientpositive/perf/query8.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query8.tpl and seed 1766988859
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query8.tpl and seed 1766988859
+explain vectorization expression
select s_store_name
,sum(ss_net_profit)
from store_sales
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query80.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query80.q b/ql/src/test/queries/clientpositive/perf/query80.q
index 651c5d7..200be64 100644
--- a/ql/src/test/queries/clientpositive/perf/query80.q
+++ b/ql/src/test/queries/clientpositive/perf/query80.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query80.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query80.tpl and seed 1819994127
+explain vectorization expression
with ssr as
(select s_store_id as store_id,
sum(ss_ext_sales_price) as sales,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query81.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query81.q b/ql/src/test/queries/clientpositive/perf/query81.q
index fd072c3..31985db 100644
--- a/ql/src/test/queries/clientpositive/perf/query81.q
+++ b/ql/src/test/queries/clientpositive/perf/query81.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query81.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query81.tpl and seed 1819994127
+explain vectorization expression
with customer_total_return as
(select cr_returning_customer_sk as ctr_customer_sk
,ca_state as ctr_state,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query82.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query82.q b/ql/src/test/queries/clientpositive/perf/query82.q
index 9aec0cb..fa299c0 100644
--- a/ql/src/test/queries/clientpositive/perf/query82.q
+++ b/ql/src/test/queries/clientpositive/perf/query82.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query82.tpl and seed 55585014
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query82.tpl and seed 55585014
+explain vectorization expression
select i_item_id
,i_item_desc
,i_current_price
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query83.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query83.q b/ql/src/test/queries/clientpositive/perf/query83.q
index fd9184c..3825814 100644
--- a/ql/src/test/queries/clientpositive/perf/query83.q
+++ b/ql/src/test/queries/clientpositive/perf/query83.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query83.tpl and seed 1930872976
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query83.tpl and seed 1930872976
+explain vectorization expression
with sr_items as
(select i_item_id item_id,
sum(sr_return_quantity) sr_item_qty
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query84.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query84.q b/ql/src/test/queries/clientpositive/perf/query84.q
index 4ab5945..58b302b 100644
--- a/ql/src/test/queries/clientpositive/perf/query84.q
+++ b/ql/src/test/queries/clientpositive/perf/query84.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query84.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query84.tpl and seed 1819994127
+explain vectorization expression
select c_customer_id as customer_id
,c_last_name || ', ' || c_first_name as customername
from customer
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query85.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query85.q b/ql/src/test/queries/clientpositive/perf/query85.q
index 2e67e72..11745b8 100644
--- a/ql/src/test/queries/clientpositive/perf/query85.q
+++ b/ql/src/test/queries/clientpositive/perf/query85.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query85.tpl and seed 622697896
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query85.tpl and seed 622697896
+explain vectorization expression
select substr(r_reason_desc,1,20)
,avg(ws_quantity)
,avg(wr_refunded_cash)
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query86.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query86.q b/ql/src/test/queries/clientpositive/perf/query86.q
index 6670868..6b3ac9f 100644
--- a/ql/src/test/queries/clientpositive/perf/query86.q
+++ b/ql/src/test/queries/clientpositive/perf/query86.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query86.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query86.tpl and seed 1819994127
+explain vectorization expression
select
sum(ws_net_paid) as total_sum
,i_category
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query87.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query87.q b/ql/src/test/queries/clientpositive/perf/query87.q
index e4562c2..bbe5a86 100644
--- a/ql/src/test/queries/clientpositive/perf/query87.q
+++ b/ql/src/test/queries/clientpositive/perf/query87.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query87.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query87.tpl and seed 1819994127
+explain vectorization expression
select count(*)
from ((select distinct c_last_name, c_first_name, d_date
from store_sales, date_dim, customer
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query88.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query88.q b/ql/src/test/queries/clientpositive/perf/query88.q
index 265cc7c..76d4b2a 100644
--- a/ql/src/test/queries/clientpositive/perf/query88.q
+++ b/ql/src/test/queries/clientpositive/perf/query88.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query88.tpl and seed 318176889
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query88.tpl and seed 318176889
+explain vectorization expression
select *
from
(select count(*) h8_30_to_9
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query89.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query89.q b/ql/src/test/queries/clientpositive/perf/query89.q
index 3159229..f32faf2 100644
--- a/ql/src/test/queries/clientpositive/perf/query89.q
+++ b/ql/src/test/queries/clientpositive/perf/query89.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query89.tpl and seed 1719819282
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query89.tpl and seed 1719819282
+explain vectorization expression
select *
from(
select i_category, i_class, i_brand,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query9.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query9.q b/ql/src/test/queries/clientpositive/perf/query9.q
index 421f5e1..aaaac7d 100644
--- a/ql/src/test/queries/clientpositive/perf/query9.q
+++ b/ql/src/test/queries/clientpositive/perf/query9.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query9.tpl and seed 1490436826
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query9.tpl and seed 1490436826
+explain vectorization expression
select case when (select count(*)
from store_sales
where ss_quantity between 1 and 20) > 409437
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query90.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query90.q b/ql/src/test/queries/clientpositive/perf/query90.q
index d17cbc4..ad98005 100644
--- a/ql/src/test/queries/clientpositive/perf/query90.q
+++ b/ql/src/test/queries/clientpositive/perf/query90.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query90.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query90.tpl and seed 2031708268
+explain vectorization expression
select cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio
from ( select count(*) amc
from web_sales, household_demographics , time_dim, web_page
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query91.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query91.q b/ql/src/test/queries/clientpositive/perf/query91.q
index 79ca713..03d5e56 100644
--- a/ql/src/test/queries/clientpositive/perf/query91.q
+++ b/ql/src/test/queries/clientpositive/perf/query91.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query91.tpl and seed 1930872976
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query91.tpl and seed 1930872976
+explain vectorization expression
select
cc_call_center_id Call_Center,
cc_name Call_Center_Name,
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query92.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query92.q b/ql/src/test/queries/clientpositive/perf/query92.q
index f26fa5e..5f2c7af 100644
--- a/ql/src/test/queries/clientpositive/perf/query92.q
+++ b/ql/src/test/queries/clientpositive/perf/query92.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query92.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query92.tpl and seed 2031708268
+explain vectorization expression
select
sum(ws_ext_discount_amt) as `Excess Discount Amount`
from
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query93.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query93.q b/ql/src/test/queries/clientpositive/perf/query93.q
index 7f4a093..ec26a23 100644
--- a/ql/src/test/queries/clientpositive/perf/query93.q
+++ b/ql/src/test/queries/clientpositive/perf/query93.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query93.tpl and seed 1200409435
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query93.tpl and seed 1200409435
+explain vectorization expression
select ss_customer_sk
,sum(act_sales) sumsales
from (select ss_item_sk
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query94.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query94.q b/ql/src/test/queries/clientpositive/perf/query94.q
index 18253fa..5fb6a23 100644
--- a/ql/src/test/queries/clientpositive/perf/query94.q
+++ b/ql/src/test/queries/clientpositive/perf/query94.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query94.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query94.tpl and seed 2031708268
+explain vectorization expression
select
count(distinct ws_order_number) as `order count`
,sum(ws_ext_ship_cost) as `total shipping cost`
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query95.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query95.q b/ql/src/test/queries/clientpositive/perf/query95.q
index e9024a8..b84f4ec 100644
--- a/ql/src/test/queries/clientpositive/perf/query95.q
+++ b/ql/src/test/queries/clientpositive/perf/query95.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query95.tpl and seed 2031708268
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query95.tpl and seed 2031708268
+explain vectorization expression
with ws_wh as
(select ws1.ws_order_number,ws1.ws_warehouse_sk wh1,ws2.ws_warehouse_sk wh2
from web_sales ws1,web_sales ws2
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query96.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query96.q b/ql/src/test/queries/clientpositive/perf/query96.q
index a306d6c..48dc765 100644
--- a/ql/src/test/queries/clientpositive/perf/query96.q
+++ b/ql/src/test/queries/clientpositive/perf/query96.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query96.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query96.tpl and seed 1819994127
+explain vectorization expression
select count(*)
from store_sales
,household_demographics
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query97.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query97.q b/ql/src/test/queries/clientpositive/perf/query97.q
index 7203e52..fe89473 100644
--- a/ql/src/test/queries/clientpositive/perf/query97.q
+++ b/ql/src/test/queries/clientpositive/perf/query97.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query97.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query97.tpl and seed 1819994127
+explain vectorization expression
with ssci as (
select ss_customer_sk customer_sk
,ss_item_sk item_sk
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query98.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query98.q b/ql/src/test/queries/clientpositive/perf/query98.q
index 6168f2a..437286e 100644
--- a/ql/src/test/queries/clientpositive/perf/query98.q
+++ b/ql/src/test/queries/clientpositive/perf/query98.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query98.tpl and seed 345591136
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query98.tpl and seed 345591136
+explain vectorization expression
select i_item_desc
,i_category
,i_class
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/perf/query99.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/perf/query99.q b/ql/src/test/queries/clientpositive/perf/query99.q
index 83be1d0..31bdb52 100644
--- a/ql/src/test/queries/clientpositive/perf/query99.q
+++ b/ql/src/test/queries/clientpositive/perf/query99.q
@@ -1,6 +1,9 @@
set hive.mapred.mode=nonstrict;
--- start query 1 in stream 0 using template query99.tpl and seed 1819994127
-explain
+set hive.explain.user=false;
+set hive.auto.convert.join=true;
+set hive.fetch.task.conversion=none;
+-- start query 1 in stream 0 using template query99.tpl and seed 1819994127
+explain vectorization expression
select
substr(w_warehouse_name,1,20)
,sm_type
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/queries/clientpositive/query_result_fileformat.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/query_result_fileformat.q b/ql/src/test/queries/clientpositive/query_result_fileformat.q
index a4c63e1..a32f25f 100644
--- a/ql/src/test/queries/clientpositive/query_result_fileformat.q
+++ b/ql/src/test/queries/clientpositive/query_result_fileformat.q
@@ -7,7 +7,7 @@ http://asdf' value from src limit 1;
select * from nzhang_test1;
select count(*) from nzhang_test1;
-explain
+explain vectorization detail
select * from nzhang_test1 where key='key1';
select * from nzhang_test1 where key='key1';
@@ -18,7 +18,7 @@ select * from nzhang_test1;
select count(*) from nzhang_test1;
-explain
+explain vectorization detail
select * from nzhang_test1 where key='key1';
select * from nzhang_test1 where key='key1';
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/llap/convert_decimal64_to_decimal.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/convert_decimal64_to_decimal.q.out b/ql/src/test/results/clientpositive/llap/convert_decimal64_to_decimal.q.out
index fddd2cb..5a764cd 100644
--- a/ql/src/test/results/clientpositive/llap/convert_decimal64_to_decimal.q.out
+++ b/ql/src/test/results/clientpositive/llap/convert_decimal64_to_decimal.q.out
@@ -181,7 +181,7 @@ STAGE PLANS:
0 _col0 (type: decimal(9,2))
1 _col1 (type: decimal(9,2))
Map Join Vectorization:
- bigTableKeyExpressions: ConvertDecimal64ToDecimal(col 3:decimal(9,2)/DECIMAL_64) -> 20:decimal(9,2)
+ bigTableKeyExpressions: ConvertDecimal64ToDecimal(col 3:decimal(9,2)/DECIMAL_64) -> 21:decimal(9,2)
className: VectorMapJoinOperator
native: false
nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true
@@ -229,7 +229,7 @@ STAGE PLANS:
includeColumns: [3]
dataColumns: float_col_1:float, varchar0037_col_2:varchar(37), decimal2912_col_3:decimal(29,12), decimal0801_col_4:decimal(8,1)/DECIMAL_64, timestamp_col_5:timestamp, boolean_col_6:boolean, string_col_7:string, tinyint_col_8:tinyint, boolean_col_9:boolean, decimal1614_col_10:decimal(16,14)/DECIMAL_64, boolean_col_11:boolean, float_col_12:float, char0116_col_13:char(116), boolean_col_14:boolean, string_col_15:string, double_col_16:double, string_col_17:string, bigint_col_18:bigint, int_col_19:int
partitionColumnCount: 0
- scratchColumnTypeNames: [decimal(9,2), bigint]
+ scratchColumnTypeNames: [bigint, decimal(9,2)]
Map 3
Map Operator Tree:
TableScan
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/llap/vector_binary_join_groupby.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/vector_binary_join_groupby.q.out b/ql/src/test/results/clientpositive/llap/vector_binary_join_groupby.q.out
index 6c461f0..17a1e1e 100644
--- a/ql/src/test/results/clientpositive/llap/vector_binary_join_groupby.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_binary_join_groupby.q.out
@@ -153,7 +153,6 @@ STAGE PLANS:
0 _col10 (type: binary)
1 _col10 (type: binary)
Map Join Vectorization:
- bigTableValueExpressions: ConvertDecimal64ToDecimal(col 9:decimal(4,2)/DECIMAL_64) -> 12:decimal(4,2)
className: VectorMapJoinInnerStringOperator
native: true
nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
@@ -167,13 +166,13 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [23]
- selectExpressions: VectorUDFAdaptor(hash(_col0,_col1,_col2,_col3,_col4,_col5,_col6,_col7,_col8,_col9,_col10,_col11,_col12,_col13,_col14,_col15,_col16,_col17,_col18,_col19,_col20,_col21)) -> 23:int
+ projectedOutputColumnNums: [22]
+ selectExpressions: VectorUDFAdaptor(hash(_col0,_col1,_col2,_col3,_col4,_col5,_col6,_col7,_col8,_col9,_col10,_col11,_col12,_col13,_col14,_col15,_col16,_col17,_col18,_col19,_col20,_col21)) -> 22:int
Statistics: Num rows: 10000 Data size: 6819968 Basic stats: COMPLETE Column stats: COMPLETE
Group By Operator
aggregations: sum(_col0)
Group By Vectorization:
- aggregators: VectorUDAFSumLong(col 23:int) -> bigint
+ aggregators: VectorUDAFSumLong(col 22:int) -> bigint
className: VectorGroupByOperator
groupByMode: HASH
native: false
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/llap/vector_case_when_1.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/vector_case_when_1.q.out b/ql/src/test/results/clientpositive/llap/vector_case_when_1.q.out
index 3ab6547..411d693 100644
--- a/ql/src/test/results/clientpositive/llap/vector_case_when_1.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_case_when_1.q.out
@@ -524,7 +524,7 @@ STAGE PLANS:
className: VectorSelectOperator
native: true
projectedOutputColumnNums: [4, 22, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 36, 40, 42, 45, 46]
- selectExpressions: IfExprStringScalarStringGroupColumn(col 17:boolean, val Singlecol 21:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 17:boolean, IfExprStringScalarStringGroupColumn(col 18:boolean, val Twocol 22:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 18:boolean, IfExprStringScalarStringGroupColumn(col 19:boolean, val Somecol 21:string)(children: LongColLessLongScalar(col 4:int, val 10) -> 19:boolean, IfExprStringScalarStringScalar(col 20:boolean, val Many, val Huge number)(children: LongColLessLongScalar(col 4:int, val 100) -> 20:boolean) -> 21:string) -> 22:string) -> 21:string) -> 22:string, IfExprStringScalarStringGroupColumn(col 17:boolean, val Singlecol 23:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 17:boolean, IfExprStringScalarStringGroupColumn(col 18:boolean, val Twocol 24:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 18:boolean, IfExprStringScalarStringGroupColumn(col 19:boolean
, val Somecol 23:string)(children: LongColLessLongScalar(col 4:int, val 10) -> 19:boolean, IfExprColumnNull(col 20:boolean, col 21:string, null)(children: LongColLessLongScalar(col 4:int, val 100) -> 20:boolean, ConstantVectorExpression(val Many) -> 21:string) -> 23:string) -> 24:string) -> 23:string) -> 24:string, IfExprStringScalarStringGroupColumn(col 17:boolean, val Singlecol 23:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 17:boolean, IfExprStringScalarStringGroupColumn(col 18:boolean, val Twocol 25:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 18:boolean, IfExprStringScalarStringGroupColumn(col 19:boolean, val Somecol 23:string)(children: LongColLessLongScalar(col 4:int, val 10) -> 19:boolean, IfExprNullNull(null, null) -> 23:string) -> 25:string) -> 23:string) -> 25:string, IfExprLongColumnLongColumn(col 17:boolean, col 18:date, col 19:date)(children: StringGroupColEqualCharScalar(col 14:char(10), val SHIP) -> 17:boolean, VectorUDFDateAddColSca
lar(col 10:date, val 10) -> 18:date, VectorUDFDateAddColScalar(col 10:date, val 5) -> 19:date) -> 26:date, IfExprDoubleColumnLongScalar(col 17:boolean, col 28:double, val 0)(children: StringGroupColEqualCharScalar(col 8:char(1), val N) -> 17:boolean, DoubleColMultiplyDoubleColumn(col 5:double, col 27:double)(children: DoubleScalarSubtractDoubleColumn(val 1.0, col 6:double) -> 27:double) -> 28:double) -> 27:double, IfExprDoubleColumnDoubleScalar(col 17:boolean, col 29:double, val 0.0)(children: StringGroupColEqualCharScalar(col 8:char(1), val N) -> 17:boolean, DoubleColMultiplyDoubleColumn(col 5:double, col 28:double)(children: DoubleScalarSubtractDoubleColumn(val 1.0, col 6:double) -> 28:double) -> 29:double) -> 28:double, IfExprNullColumn(col 17:boolean, null, col 48)(children: StringGroupColEqualStringScalar(col 23:string, val DELIVER IN PERSON)(children: CastStringGroupToString(col 13:varchar(20)) -> 23:string) -> 17:boolean, ConvertDecimal64ToDecimal(col 7:decimal(10,2)/DECIMAL_
64) -> 48:decimal(10,2)) -> 30:decimal(10,2), IfExprColumnNull(col 18:boolean, col 49:decimal(10,2), null)(children: StringGroupColEqualStringScalar(col 23:string, val TAKE BACK RETURN)(children: CastStringGroupToString(col 13:varchar(20)) -> 23:string) -> 18:boolean, ConvertDecimal64ToDecimal(col 7:decimal(10,2)/DECIMAL_64) -> 49:decimal(10,2)) -> 31:decimal(10,2), VectorUDFAdaptor(if((CAST( l_shipinstruct AS STRING) = 'DELIVER IN PERSON'), 0, l_tax))(children: StringGroupColEqualStringScalar(col 23:string, val DELIVER IN PERSON)(children: CastStringGroupToString(col 13:varchar(20)) -> 23:string) -> 19:boolean) -> 32:decimal(12,2), VectorUDFAdaptor(if((CAST( l_shipinstruct AS STRING) = 'TAKE BACK RETURN'), l_tax, 0))(children: StringGroupColEqualStringScalar(col 23:string, val TAKE BACK RETURN)(children: CastStringGroupToString(col 13:varchar(20)) -> 23:string) -> 19:boolean) -> 33:decimal(12,2), IfExprDecimal64ScalarDecimal64Column(col 19:boolean, decimal64Val 0, decimalVal 0, col
7:decimal(1,0)/DECIMAL_64)(children: StringGroupColEqualStringScalar(col 23:string, val DELIVER IN PERSON)(children: CastStringGroupToString(col 13:varchar(20)) -> 23:string) -> 19:boolean) -> 34:decimal(10,2)/DECIMAL_64, IfExprDecimal64ColumnDecimal64Scalar(col 35:boolean, col 7:decimal(10,2)/DECIMAL_64, decimal64Val 0, decimalVal 0)(children: StringGroupColEqualStringScalar(col 23:string, val TAKE BACK RETURN)(children: CastStringGroupToString(col 13:varchar(20)) -> 23:string) -> 35:boolean) -> 36:decimal(10,2)/DECIMAL_64, IfExprTimestampColumnColumn(col 37:boolean, col 38:timestampcol 39:timestamp)(children: LongColGreaterLongScalar(col 1:int, val 30) -> 37:boolean, CastDateToTimestamp(col 12:date) -> 38:timestamp, CastDateToTimestamp(col 11:date) -> 39:timestamp) -> 40:timestamp, IfExprColumnNull(col 37:boolean, col 41:int, null)(children: LongColGreaterLongScalar(col 2:int, val 10000) -> 37:boolean, VectorUDFDateDiffColCol(col 12:date, col 11:date) -> 41:int) -> 42:int, IfExpr
NullColumn(col 43:boolean, null, col 44)(children: LongColGreaterLongScalar(col 2:int, val 10000) -> 43:boolean, VectorUDFDateDiffColCol(col 12:date, col 11:date) -> 44:int) -> 45:int, IfExprLongScalarLongScalar(col 47:boolean, val 14245, val 14609)(children: LongColGreaterLongScalar(col 46:int, val 100)(children: LongColModuloLongScalar(col 2:int, val 500) -> 46:int) -> 47:boolean) -> 46:date
+ selectExpressions: IfExprStringScalarStringGroupColumn(col 17:boolean, val Singlecol 21:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 17:boolean, IfExprStringScalarStringGroupColumn(col 18:boolean, val Twocol 22:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 18:boolean, IfExprStringScalarStringGroupColumn(col 19:boolean, val Somecol 21:string)(children: LongColLessLongScalar(col 4:int, val 10) -> 19:boolean, IfExprStringScalarStringScalar(col 20:boolean, val Many, val Huge number)(children: LongColLessLongScalar(col 4:int, val 100) -> 20:boolean) -> 21:string) -> 22:string) -> 21:string) -> 22:string, IfExprStringScalarStringGroupColumn(col 17:boolean, val Singlecol 23:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 17:boolean, IfExprStringScalarStringGroupColumn(col 18:boolean, val Twocol 24:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 18:boolean, IfExprStringScalarStringGroupColumn(col 19:boolean
, val Somecol 23:string)(children: LongColLessLongScalar(col 4:int, val 10) -> 19:boolean, IfExprColumnNull(col 20:boolean, col 21:string, null)(children: LongColLessLongScalar(col 4:int, val 100) -> 20:boolean, ConstantVectorExpression(val Many) -> 21:string) -> 23:string) -> 24:string) -> 23:string) -> 24:string, IfExprStringScalarStringGroupColumn(col 17:boolean, val Singlecol 23:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 17:boolean, IfExprStringScalarStringGroupColumn(col 18:boolean, val Twocol 25:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 18:boolean, IfExprStringScalarStringGroupColumn(col 19:boolean, val Somecol 23:string)(children: LongColLessLongScalar(col 4:int, val 10) -> 19:boolean, IfExprNullNull(null, null) -> 23:string) -> 25:string) -> 23:string) -> 25:string, IfExprLongColumnLongColumn(col 17:boolean, col 18:date, col 19:date)(children: StringGroupColEqualCharScalar(col 14:char(10), val SHIP) -> 17:boolean, VectorUDFDateAddColSca
lar(col 10:date, val 10) -> 18:date, VectorUDFDateAddColScalar(col 10:date, val 5) -> 19:date) -> 26:date, IfExprDoubleColumnLongScalar(col 17:boolean, col 28:double, val 0)(children: StringGroupColEqualCharScalar(col 8:char(1), val N) -> 17:boolean, DoubleColMultiplyDoubleColumn(col 5:double, col 27:double)(children: DoubleScalarSubtractDoubleColumn(val 1.0, col 6:double) -> 27:double) -> 28:double) -> 27:double, IfExprDoubleColumnDoubleScalar(col 17:boolean, col 29:double, val 0.0)(children: StringGroupColEqualCharScalar(col 8:char(1), val N) -> 17:boolean, DoubleColMultiplyDoubleColumn(col 5:double, col 28:double)(children: DoubleScalarSubtractDoubleColumn(val 1.0, col 6:double) -> 28:double) -> 29:double) -> 28:double, IfExprNullColumn(col 17:boolean, null, col 48)(children: StringGroupColEqualStringScalar(col 13:string, val DELIVER IN PERSON)(children: col 13:varchar(20)) -> 17:boolean, ConvertDecimal64ToDecimal(col 7:decimal(10,2)/DECIMAL_64) -> 48:decimal(10,2)) -> 30:decimal
(10,2), IfExprColumnNull(col 18:boolean, col 49:decimal(10,2), null)(children: StringGroupColEqualStringScalar(col 13:string, val TAKE BACK RETURN)(children: col 13:varchar(20)) -> 18:boolean, ConvertDecimal64ToDecimal(col 7:decimal(10,2)/DECIMAL_64) -> 49:decimal(10,2)) -> 31:decimal(10,2), VectorUDFAdaptor(if((CAST( l_shipinstruct AS STRING) = 'DELIVER IN PERSON'), 0, l_tax))(children: StringGroupColEqualStringScalar(col 13:string, val DELIVER IN PERSON)(children: col 13:varchar(20)) -> 19:boolean) -> 32:decimal(12,2), VectorUDFAdaptor(if((CAST( l_shipinstruct AS STRING) = 'TAKE BACK RETURN'), l_tax, 0))(children: StringGroupColEqualStringScalar(col 13:string, val TAKE BACK RETURN)(children: col 13:varchar(20)) -> 19:boolean) -> 33:decimal(12,2), IfExprDecimal64ScalarDecimal64Column(col 19:boolean, decimal64Val 0, decimalVal 0, col 7:decimal(1,0)/DECIMAL_64)(children: StringGroupColEqualStringScalar(col 13:string, val DELIVER IN PERSON)(children: col 13:varchar(20)) -> 19:boolean)
-> 34:decimal(10,2)/DECIMAL_64, IfExprDecimal64ColumnDecimal64Scalar(col 35:boolean, col 7:decimal(10,2)/DECIMAL_64, decimal64Val 0, decimalVal 0)(children: StringGroupColEqualStringScalar(col 13:string, val TAKE BACK RETURN)(children: col 13:varchar(20)) -> 35:boolean) -> 36:decimal(10,2)/DECIMAL_64, IfExprTimestampColumnColumn(col 37:boolean, col 38:timestampcol 39:timestamp)(children: LongColGreaterLongScalar(col 1:int, val 30) -> 37:boolean, CastDateToTimestamp(col 12:date) -> 38:timestamp, CastDateToTimestamp(col 11:date) -> 39:timestamp) -> 40:timestamp, IfExprColumnNull(col 37:boolean, col 41:int, null)(children: LongColGreaterLongScalar(col 2:int, val 10000) -> 37:boolean, VectorUDFDateDiffColCol(col 12:date, col 11:date) -> 41:int) -> 42:int, IfExprNullColumn(col 43:boolean, null, col 44)(children: LongColGreaterLongScalar(col 2:int, val 10000) -> 43:boolean, VectorUDFDateDiffColCol(col 12:date, col 11:date) -> 44:int) -> 45:int, IfExprLongScalarLongScalar(col 47:boolean,
val 14245, val 14609)(children: LongColGreaterLongScalar(col 46:int, val 100)(children: LongColModuloLongScalar(col 2:int, val 500) -> 46:int) -> 47:boolean) -> 46:date
Statistics: Num rows: 101 Data size: 57327 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
@@ -856,8 +856,8 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [4, 27, 38, 48, 52, 54, 60, 63, 65, 67, 68, 69, 71, 75, 78, 81, 82]
- selectExpressions: IfExprColumnCondExpr(col 17:boolean, col 18:stringcol 26:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 17:boolean, ConstantVectorExpression(val Single) -> 18:string, IfExprColumnCondExpr(col 19:boolean, col 20:stringcol 25:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 19:boolean, ConstantVectorExpression(val Two) -> 20:string, IfExprColumnCondExpr(col 21:boolean, col 22:stringcol 24:string)(children: LongColLessLongScalar(col 4:int, val 10) -> 21:boolean, ConstantVectorExpression(val Some) -> 22:string, IfExprStringScalarStringScalar(col 23:boolean, val Many, val Huge number)(children: LongColLessLongScalar(col 4:int, val 100) -> 23:boolean) -> 24:string) -> 25:string) -> 26:string) -> 27:string, IfExprColumnCondExpr(col 23:boolean, col 28:stringcol 37:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 23:boolean, ConstantVectorExpression(val Single) -> 28:string, IfExprColumnCondExpr(col 29:boolea
n, col 30:stringcol 36:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 29:boolean, ConstantVectorExpression(val Two) -> 30:string, IfExprColumnCondExpr(col 31:boolean, col 32:stringcol 35:string)(children: LongColLessLongScalar(col 4:int, val 10) -> 31:boolean, ConstantVectorExpression(val Some) -> 32:string, IfExprColumnNull(col 33:boolean, col 34:string, null)(children: LongColLessLongScalar(col 4:int, val 100) -> 33:boolean, ConstantVectorExpression(val Many) -> 34:string) -> 35:string) -> 36:string) -> 37:string) -> 38:string, IfExprColumnCondExpr(col 39:boolean, col 40:stringcol 47:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 39:boolean, ConstantVectorExpression(val Single) -> 40:string, IfExprColumnCondExpr(col 41:boolean, col 42:stringcol 46:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 41:boolean, ConstantVectorExpression(val Two) -> 42:string, IfExprColumnCondExpr(col 43:boolean, col 44:stringcol 45:string)(children: LongColLes
sLongScalar(col 4:int, val 10) -> 43:boolean, ConstantVectorExpression(val Some) -> 44:string, IfExprNullNull(null, null) -> 45:string) -> 46:string) -> 47:string) -> 48:string, IfExprCondExprCondExpr(col 49:boolean, col 50:datecol 51:date)(children: StringGroupColEqualCharScalar(col 14:char(10), val SHIP) -> 49:boolean, VectorUDFDateAddColScalar(col 10:date, val 10) -> 50:date, VectorUDFDateAddColScalar(col 10:date, val 5) -> 51:date) -> 52:date, IfExprDoubleColumnLongScalar(col 57:boolean, col 58:double, val 0)(children: StringGroupColEqualCharScalar(col 8:char(1), val N) -> 57:boolean, DoubleColMultiplyDoubleColumn(col 5:double, col 54:double)(children: DoubleScalarSubtractDoubleColumn(val 1.0, col 6:double) -> 54:double) -> 58:double) -> 54:double, IfExprCondExprColumn(col 57:boolean, col 59:double, col 58:double)(children: StringGroupColEqualCharScalar(col 8:char(1), val N) -> 57:boolean, DoubleColMultiplyDoubleColumn(col 5:double, col 58:double)(children: DoubleScalarSubtractD
oubleColumn(val 1.0, col 6:double) -> 58:double) -> 59:double, ConstantVectorExpression(val 0.0) -> 58:double) -> 60:double, IfExprNullColumn(col 62:boolean, null, col 84)(children: StringGroupColEqualStringScalar(col 61:string, val DELIVER IN PERSON)(children: CastStringGroupToString(col 13:varchar(20)) -> 61:string) -> 62:boolean, ConvertDecimal64ToDecimal(col 7:decimal(10,2)/DECIMAL_64) -> 84:decimal(10,2)) -> 63:decimal(10,2), IfExprColumnNull(col 64:boolean, col 85:decimal(10,2), null)(children: StringGroupColEqualStringScalar(col 61:string, val TAKE BACK RETURN)(children: CastStringGroupToString(col 13:varchar(20)) -> 61:string) -> 64:boolean, ConvertDecimal64ToDecimal(col 7:decimal(10,2)/DECIMAL_64) -> 85:decimal(10,2)) -> 65:decimal(10,2), VectorUDFAdaptor(if((CAST( l_shipinstruct AS STRING) = 'DELIVER IN PERSON'), 0, l_tax))(children: StringGroupColEqualStringScalar(col 61:string, val DELIVER IN PERSON)(children: CastStringGroupToString(col 13:varchar(20)) -> 61:string) ->
66:boolean) -> 67:decimal(12,2), VectorUDFAdaptor(if((CAST( l_shipinstruct AS STRING) = 'TAKE BACK RETURN'), l_tax, 0))(children: StringGroupColEqualStringScalar(col 61:string, val TAKE BACK RETURN)(children: CastStringGroupToString(col 13:varchar(20)) -> 61:string) -> 66:boolean) -> 68:decimal(12,2), IfExprDecimal64ScalarDecimal64Column(col 66:boolean, decimal64Val 0, decimalVal 0, col 7:decimal(1,0)/DECIMAL_64)(children: StringGroupColEqualStringScalar(col 61:string, val DELIVER IN PERSON)(children: CastStringGroupToString(col 13:varchar(20)) -> 61:string) -> 66:boolean) -> 69:decimal(10,2)/DECIMAL_64, IfExprDecimal64ColumnDecimal64Scalar(col 70:boolean, col 7:decimal(10,2)/DECIMAL_64, decimal64Val 0, decimalVal 0)(children: StringGroupColEqualStringScalar(col 61:string, val TAKE BACK RETURN)(children: CastStringGroupToString(col 13:varchar(20)) -> 61:string) -> 70:boolean) -> 71:decimal(10,2)/DECIMAL_64, IfExprCondExprCondExpr(col 72:boolean, col 73:timestampcol 74:timestamp)(chi
ldren: LongColGreaterLongScalar(col 1:int, val 30) -> 72:boolean, CastDateToTimestamp(col 12:date) -> 73:timestamp, CastDateToTimestamp(col 11:date) -> 74:timestamp) -> 75:timestamp, IfExprCondExprNull(col 76:boolean, col 77:int, null)(children: LongColGreaterLongScalar(col 2:int, val 10000) -> 76:boolean, VectorUDFDateDiffColCol(col 12:date, col 11:date) -> 77:int) -> 78:int, IfExprNullCondExpr(col 79:boolean, null, col 80:int)(children: LongColGreaterLongScalar(col 2:int, val 10000) -> 79:boolean, VectorUDFDateDiffColCol(col 12:date, col 11:date) -> 80:int) -> 81:int, IfExprLongScalarLongScalar(col 83:boolean, val 14245, val 14609)(children: LongColGreaterLongScalar(col 82:int, val 100)(children: LongColModuloLongScalar(col 2:int, val 500) -> 82:int) -> 83:boolean) -> 82:date
+ projectedOutputColumnNums: [4, 27, 38, 48, 52, 54, 60, 62, 64, 66, 67, 68, 70, 74, 77, 80, 81]
+ selectExpressions: IfExprColumnCondExpr(col 17:boolean, col 18:stringcol 26:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 17:boolean, ConstantVectorExpression(val Single) -> 18:string, IfExprColumnCondExpr(col 19:boolean, col 20:stringcol 25:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 19:boolean, ConstantVectorExpression(val Two) -> 20:string, IfExprColumnCondExpr(col 21:boolean, col 22:stringcol 24:string)(children: LongColLessLongScalar(col 4:int, val 10) -> 21:boolean, ConstantVectorExpression(val Some) -> 22:string, IfExprStringScalarStringScalar(col 23:boolean, val Many, val Huge number)(children: LongColLessLongScalar(col 4:int, val 100) -> 23:boolean) -> 24:string) -> 25:string) -> 26:string) -> 27:string, IfExprColumnCondExpr(col 23:boolean, col 28:stringcol 37:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 23:boolean, ConstantVectorExpression(val Single) -> 28:string, IfExprColumnCondExpr(col 29:boolea
n, col 30:stringcol 36:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 29:boolean, ConstantVectorExpression(val Two) -> 30:string, IfExprColumnCondExpr(col 31:boolean, col 32:stringcol 35:string)(children: LongColLessLongScalar(col 4:int, val 10) -> 31:boolean, ConstantVectorExpression(val Some) -> 32:string, IfExprColumnNull(col 33:boolean, col 34:string, null)(children: LongColLessLongScalar(col 4:int, val 100) -> 33:boolean, ConstantVectorExpression(val Many) -> 34:string) -> 35:string) -> 36:string) -> 37:string) -> 38:string, IfExprColumnCondExpr(col 39:boolean, col 40:stringcol 47:string)(children: LongColEqualLongScalar(col 4:int, val 1) -> 39:boolean, ConstantVectorExpression(val Single) -> 40:string, IfExprColumnCondExpr(col 41:boolean, col 42:stringcol 46:string)(children: LongColEqualLongScalar(col 4:int, val 2) -> 41:boolean, ConstantVectorExpression(val Two) -> 42:string, IfExprColumnCondExpr(col 43:boolean, col 44:stringcol 45:string)(children: LongColLes
sLongScalar(col 4:int, val 10) -> 43:boolean, ConstantVectorExpression(val Some) -> 44:string, IfExprNullNull(null, null) -> 45:string) -> 46:string) -> 47:string) -> 48:string, IfExprCondExprCondExpr(col 49:boolean, col 50:datecol 51:date)(children: StringGroupColEqualCharScalar(col 14:char(10), val SHIP) -> 49:boolean, VectorUDFDateAddColScalar(col 10:date, val 10) -> 50:date, VectorUDFDateAddColScalar(col 10:date, val 5) -> 51:date) -> 52:date, IfExprDoubleColumnLongScalar(col 57:boolean, col 58:double, val 0)(children: StringGroupColEqualCharScalar(col 8:char(1), val N) -> 57:boolean, DoubleColMultiplyDoubleColumn(col 5:double, col 54:double)(children: DoubleScalarSubtractDoubleColumn(val 1.0, col 6:double) -> 54:double) -> 58:double) -> 54:double, IfExprCondExprColumn(col 57:boolean, col 59:double, col 58:double)(children: StringGroupColEqualCharScalar(col 8:char(1), val N) -> 57:boolean, DoubleColMultiplyDoubleColumn(col 5:double, col 58:double)(children: DoubleScalarSubtractD
oubleColumn(val 1.0, col 6:double) -> 58:double) -> 59:double, ConstantVectorExpression(val 0.0) -> 58:double) -> 60:double, IfExprNullColumn(col 61:boolean, null, col 83)(children: StringGroupColEqualStringScalar(col 13:string, val DELIVER IN PERSON)(children: col 13:varchar(20)) -> 61:boolean, ConvertDecimal64ToDecimal(col 7:decimal(10,2)/DECIMAL_64) -> 83:decimal(10,2)) -> 62:decimal(10,2), IfExprColumnNull(col 63:boolean, col 84:decimal(10,2), null)(children: StringGroupColEqualStringScalar(col 13:string, val TAKE BACK RETURN)(children: col 13:varchar(20)) -> 63:boolean, ConvertDecimal64ToDecimal(col 7:decimal(10,2)/DECIMAL_64) -> 84:decimal(10,2)) -> 64:decimal(10,2), VectorUDFAdaptor(if((CAST( l_shipinstruct AS STRING) = 'DELIVER IN PERSON'), 0, l_tax))(children: StringGroupColEqualStringScalar(col 13:string, val DELIVER IN PERSON)(children: col 13:varchar(20)) -> 65:boolean) -> 66:decimal(12,2), VectorUDFAdaptor(if((CAST( l_shipinstruct AS STRING) = 'TAKE BACK RETURN'), l_tax
, 0))(children: StringGroupColEqualStringScalar(col 13:string, val TAKE BACK RETURN)(children: col 13:varchar(20)) -> 65:boolean) -> 67:decimal(12,2), IfExprDecimal64ScalarDecimal64Column(col 65:boolean, decimal64Val 0, decimalVal 0, col 7:decimal(1,0)/DECIMAL_64)(children: StringGroupColEqualStringScalar(col 13:string, val DELIVER IN PERSON)(children: col 13:varchar(20)) -> 65:boolean) -> 68:decimal(10,2)/DECIMAL_64, IfExprDecimal64ColumnDecimal64Scalar(col 69:boolean, col 7:decimal(10,2)/DECIMAL_64, decimal64Val 0, decimalVal 0)(children: StringGroupColEqualStringScalar(col 13:string, val TAKE BACK RETURN)(children: col 13:varchar(20)) -> 69:boolean) -> 70:decimal(10,2)/DECIMAL_64, IfExprCondExprCondExpr(col 71:boolean, col 72:timestampcol 73:timestamp)(children: LongColGreaterLongScalar(col 1:int, val 30) -> 71:boolean, CastDateToTimestamp(col 12:date) -> 72:timestamp, CastDateToTimestamp(col 11:date) -> 73:timestamp) -> 74:timestamp, IfExprCondExprNull(col 75:boolean, col 76:int
, null)(children: LongColGreaterLongScalar(col 2:int, val 10000) -> 75:boolean, VectorUDFDateDiffColCol(col 12:date, col 11:date) -> 76:int) -> 77:int, IfExprNullCondExpr(col 78:boolean, null, col 79:int)(children: LongColGreaterLongScalar(col 2:int, val 10000) -> 78:boolean, VectorUDFDateDiffColCol(col 12:date, col 11:date) -> 79:int) -> 80:int, IfExprLongScalarLongScalar(col 82:boolean, val 14245, val 14609)(children: LongColGreaterLongScalar(col 81:int, val 100)(children: LongColModuloLongScalar(col 2:int, val 500) -> 81:int) -> 82:boolean) -> 81:date
Statistics: Num rows: 101 Data size: 57327 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
@@ -885,7 +885,7 @@ STAGE PLANS:
includeColumns: [1, 2, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14]
dataColumns: l_orderkey:int, l_partkey:int, l_suppkey:int, l_linenumber:int, l_quantity:int, l_extendedprice:double, l_discount:double, l_tax:decimal(10,2)/DECIMAL_64, l_returnflag:char(1), l_linestatus:char(1), l_shipdate:date, l_commitdate:date, l_receiptdate:date, l_shipinstruct:varchar(20), l_shipmode:char(10), l_comment:string
partitionColumnCount: 0
- scratchColumnTypeNames: [bigint, string, bigint, string, bigint, string, bigint, string, string, string, string, string, bigint, string, bigint, string, bigint, string, string, string, string, string, bigint, string, bigint, string, bigint, string, string, string, string, string, bigint, bigint, bigint, bigint, bigint, double, double, bigint, bigint, double, double, double, string, bigint, decimal(10,2), bigint, decimal(10,2), bigint, decimal(12,2), decimal(12,2), decimal(10,2)/DECIMAL_64, bigint, decimal(10,2)/DECIMAL_64, bigint, timestamp, timestamp, timestamp, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, decimal(10,2), decimal(10,2)]
+ scratchColumnTypeNames: [bigint, string, bigint, string, bigint, string, bigint, string, string, string, string, string, bigint, string, bigint, string, bigint, string, string, string, string, string, bigint, string, bigint, string, bigint, string, string, string, string, string, bigint, bigint, bigint, bigint, bigint, double, double, bigint, bigint, double, double, double, bigint, decimal(10,2), bigint, decimal(10,2), bigint, decimal(12,2), decimal(12,2), decimal(10,2)/DECIMAL_64, bigint, decimal(10,2)/DECIMAL_64, bigint, timestamp, timestamp, timestamp, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, decimal(10,2), decimal(10,2)]
Stage: Stage-0
Fetch Operator
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/llap/vector_char_mapjoin1.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/vector_char_mapjoin1.q.out b/ql/src/test/results/clientpositive/llap/vector_char_mapjoin1.q.out
index 31b3807..4ae125b 100644
--- a/ql/src/test/results/clientpositive/llap/vector_char_mapjoin1.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_char_mapjoin1.q.out
@@ -514,7 +514,6 @@ STAGE PLANS:
Map-reduce partition columns: CAST( _col1 AS STRING) (type: string)
Reduce Sink Vectorization:
className: VectorReduceSinkStringOperator
- keyExpressions: CastStringGroupToString(col 1:char(10)) -> 3:string
native: true
nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 3 Data size: 294 Basic stats: COMPLETE Column stats: NONE
[08/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query77.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query77.q.out b/ql/src/test/results/clientpositive/perf/spark/query77.q.out
index ea80550..6891602 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query77.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query77.q.out
@@ -1,5 +1,5 @@
Warning: Map Join MAPJOIN[182][bigTable=?] in task 'Stage-1:MAPRED' is a cross product
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with ss as
(select s_store_sk,
sum(ss_ext_sales_price) as sales,
@@ -105,7 +105,7 @@ with ss as
,id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with ss as
(select s_store_sk,
sum(ss_ext_sales_price) as sales,
@@ -211,6 +211,10 @@ with ss as
,id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -233,18 +237,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -258,18 +284,40 @@ STAGE PLANS:
alias: store
filterExpr: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: s_store_sk is not null (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -283,18 +331,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-08-03 17:00:00.0, right 1998-09-02 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -310,12 +380,22 @@ STAGE PLANS:
alias: catalog_returns
filterExpr: cr_returned_date_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cr_returned_date_sk is not null (type: boolean)
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cr_returned_date_sk (type: int), cr_return_amount (type: decimal(7,2)), cr_net_loss (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 18, 26]
Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -323,33 +403,73 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2
input vertices:
1 Map 19
Statistics: Num rows: 31678769 Data size: 3362958220 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1), sum(_col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 18:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFSumDecimal64(col 26:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
mode: hash
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 224 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1 Data size: 224 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(17,2)), _col1 (type: decimal(17,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Reducer 18
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1]
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 1 Data size: 224 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0
1
@@ -364,18 +484,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-08-03 17:00:00.0, right 1998-09-02 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -389,18 +531,40 @@ STAGE PLANS:
alias: web_page
filterExpr: wp_web_page_sk is not null (type: boolean)
Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: wp_web_page_sk is not null (type: boolean)
Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wp_web_page_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -414,18 +578,40 @@ STAGE PLANS:
alias: web_page
filterExpr: wp_web_page_sk is not null (type: boolean)
Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: wp_web_page_sk is not null (type: boolean)
Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wp_web_page_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -453,51 +639,107 @@ STAGE PLANS:
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_store_sk (type: int), ss_ext_sales_price (type: decimal(7,2)), ss_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 15, 22]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-08-03 17:00:00.0, right 1998-09-02 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 14
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: cs_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: cs_sold_date_sk is not null (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_call_center_sk (type: int), cs_ext_sales_price (type: decimal(7,2)), cs_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 11, 23, 33]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -505,12 +747,24 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col3
input vertices:
1 Map 16
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), sum(_col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 23:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFSumDecimal64(col 33:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 11:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: _col1 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -519,9 +773,22 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 20
@@ -530,101 +797,221 @@ STAGE PLANS:
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_web_page_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 12:int))
predicate: (ws_sold_date_sk is not null and ws_web_page_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_web_page_sk (type: int), ws_ext_sales_price (type: decimal(7,2)), ws_net_profit (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 12, 23, 33]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 26
Map Operator Tree:
TableScan
alias: web_returns
filterExpr: (wr_returned_date_sk is not null and wr_web_page_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 11:int))
predicate: (wr_returned_date_sk is not null and wr_web_page_sk is not null) (type: boolean)
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: wr_returned_date_sk (type: int), wr_web_page_sk (type: int), wr_return_amt (type: decimal(7,2)), wr_net_loss (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 11, 15, 23]
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 29
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-08-03 17:00:00.0, right 1998-09-02 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-08-03 17:00:00.0, right 1998-09-02 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-09-03 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: (sr_returned_date_sk is not null and sr_store_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (sr_returned_date_sk is not null and sr_store_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_returned_date_sk (type: int), sr_store_sk (type: int), sr_return_amt (type: decimal(7,2)), sr_net_loss (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 7, 11, 19]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -658,9 +1045,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2))
Reducer 11
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -669,15 +1070,33 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 34842647 Data size: 2699627990 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2))
Reducer 15
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -688,6 +1107,10 @@ STAGE PLANS:
keys:
0
1
+ Map Join Vectorization:
+ className: VectorMapJoinInnerMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0, _col1, _col2, _col3, _col4
input vertices:
1 Reducer 18
@@ -695,9 +1118,22 @@ STAGE PLANS:
Select Operator
expressions: 'catalog channel' (type: string), _col0 (type: int), _col1 (type: decimal(17,2)), _col3 (type: decimal(17,2)), (_col2 - _col4) (type: decimal(18,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 0, 1, 3, 6]
+ selectExpressions: ConstantVectorExpression(val catalog channel) -> 5:string, DecimalColSubtractDecimalColumn(col 2:decimal(17,2), col 4:decimal(17,2)) -> 6:decimal(18,2)
Statistics: Num rows: 158394413 Data size: 57088528313 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), sum(_col3), sum(_col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 3:decimal(17,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 6:decimal(18,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:string, col 0:int, ConstantVectorExpression(val 0) -> 7:bigint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
keys: _col0 (type: string), _col1 (type: int), 0L (type: bigint)
mode: hash
outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
@@ -706,12 +1142,21 @@ STAGE PLANS:
key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: bigint)
sort order: +++
Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: bigint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 1912659936 Data size: 311808612993 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -746,6 +1191,11 @@ STAGE PLANS:
Reducer 21
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -779,9 +1229,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2))
Reducer 22
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -790,9 +1254,18 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 87121617 Data size: 11846020363 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2))
Reducer 23
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -819,6 +1292,11 @@ STAGE PLANS:
Reducer 27
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -852,9 +1330,23 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2))
Reducer 28
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -863,13 +1355,31 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 8711072 Data size: 801742469 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -878,9 +1388,18 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -906,9 +1425,23 @@ STAGE PLANS:
value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 3:decimal(27,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 4:decimal(27,2)) -> decimal(27,2), VectorUDAFSumDecimal(col 5:decimal(28,2)) -> decimal(28,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:int, col 2:bigint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: bigint)
mode: mergepartial
outputColumnNames: _col0, _col1, _col3, _col4, _col5
@@ -917,25 +1450,49 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: string), _col1 (type: int), _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
Statistics: Num rows: 956329968 Data size: 155904306496 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: int)
sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 956329968 Data size: 155904306496 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col2 (type: decimal(27,2)), _col3 (type: decimal(27,2)), _col4 (type: decimal(28,2))
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int), VALUE._col0 (type: decimal(27,2)), VALUE._col1 (type: decimal(27,2)), VALUE._col2 (type: decimal(28,2))
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
Statistics: Num rows: 956329968 Data size: 155904306496 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 16300 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 16300 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[35/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query32.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query32.q.out b/ql/src/test/results/clientpositive/perf/spark/query32.q.out
index af121c5..c4ab76c 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query32.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query32.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select sum(cs_ext_discount_amt) as `excess discount amount`
from
catalog_sales
@@ -25,7 +25,7 @@ and cs_ext_discount_amt
)
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select sum(cs_ext_discount_amt) as `excess discount amount`
from
catalog_sales
@@ -52,6 +52,10 @@ and cs_ext_discount_amt
)
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -69,18 +73,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-18 00:00:00' AND TIMESTAMP'1998-06-16 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-03-17 16:00:00.0, right 1998-06-15 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-18 00:00:00' AND TIMESTAMP'1998-06-16 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -94,18 +120,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-18 00:00:00' AND TIMESTAMP'1998-06-16 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-03-17 16:00:00.0, right 1998-06-15 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-18 00:00:00' AND TIMESTAMP'1998-06-16 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -124,12 +172,22 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_ext_discount_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 15, 22]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -137,6 +195,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2
input vertices:
1 Map 4
@@ -145,9 +207,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 5
@@ -156,12 +231,22 @@ STAGE PLANS:
alias: catalog_sales
filterExpr: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 15:int), SelectColumnIsNotNull(col 0:int))
predicate: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_ext_discount_amt (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 15, 22]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -169,12 +254,24 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2
input vertices:
1 Map 8
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), count(_col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal64(col 22:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64, VectorUDAFCount(col 22:decimal(7,2)/DECIMAL_64) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 15:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1]
keys: _col1 (type: int)
mode: hash
outputColumnNames: _col0, _col1, _col2
@@ -183,9 +280,22 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(17,2)), _col2 (type: bigint)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 9
@@ -194,20 +304,48 @@ STAGE PLANS:
alias: item
filterExpr: ((i_manufact_id = 269) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 13:int, val 269), SelectColumnIsNotNull(col 0:int))
predicate: ((i_manufact_id = 269) and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -236,17 +374,36 @@ STAGE PLANS:
value expressions: _col0 (type: decimal(17,2))
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 0:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0]
mode: mergepartial
outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 1 Data size: 112 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
@@ -254,9 +411,23 @@ STAGE PLANS:
serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2), VectorUDAFCountMerge(col 2:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -264,14 +435,28 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), (_col1 / _col2) (type: decimal(37,22))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4]
+ selectExpressions: DecimalColDivideDecimalColumn(col 1:decimal(17,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 2:bigint) -> 3:decimal(19,0)) -> 4:decimal(37,22)
Statistics: Num rows: 158394413 Data size: 21449785388 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 158394413 Data size: 21449785388 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(37,22))
Reducer 7
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query33.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query33.q.out b/ql/src/test/results/clientpositive/perf/spark/query33.q.out
index 39851fb..ddf2736 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query33.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query33.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with ss as (
select
i_manufact_id,sum(ss_ext_sales_price) total_sales
@@ -72,7 +72,7 @@ where i_category in ('Books'))
order by total_sales
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with ss as (
select
i_manufact_id,sum(ss_ext_sales_price) total_sales
@@ -146,6 +146,10 @@ where i_category in ('Books'))
order by total_sales
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-1 is a root stage
Stage-0 depends on stages: Stage-1
@@ -180,72 +184,158 @@ STAGE PLANS:
alias: item
filterExpr: (i_manufact_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 13:int), SelectColumnIsNotNull(col 0:int))
predicate: (i_item_sk is not null and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 13]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 12
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 3) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 3), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 3) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_gmt_offset = -6) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 11:decimal(5,2)/DECIMAL_64, val -600), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_gmt_offset = -6) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 18
Map Operator Tree:
TableScan
alias: item
filterExpr: ((i_category = 'Books') and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 12:string, val Books), SelectColumnIsNotNull(col 13:int))
predicate: ((i_category = 'Books') and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_manufact_id (type: int)
outputColumnNames: i_manufact_id
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [13]
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 13:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
keys: i_manufact_id (type: int)
mode: hash
outputColumnNames: _col0
@@ -254,127 +344,283 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 20
Map Operator Tree:
TableScan
alias: catalog_sales
filterExpr: (cs_sold_date_sk is not null and cs_bill_addr_sk is not null and cs_item_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 15:int))
predicate: (cs_bill_addr_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: cs_sold_date_sk (type: int), cs_bill_addr_sk (type: int), cs_item_sk (type: int), cs_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 15, 23]
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 25
Map Operator Tree:
TableScan
alias: item
filterExpr: (i_manufact_id is not null and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 13:int), SelectColumnIsNotNull(col 0:int))
predicate: (i_item_sk is not null and i_manufact_id is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_manufact_id (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 13]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 31
Map Operator Tree:
TableScan
alias: web_sales
filterExpr: (ws_sold_date_sk is not null and ws_bill_addr_sk is not null and ws_item_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 3:int))
predicate: (ws_bill_addr_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_bill_addr_sk (type: int), ws_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 7, 23]
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 34
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 1999) and (d_moy = 3) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 1999), FilterLongColEqualLongScalar(col 8:int, val 3), SelectColumnIsNotNull(col 0:int))
predicate: ((d_moy = 3) and (d_year = 1999) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 35
Map Operator Tree:
TableScan
alias: customer_address
filterExpr: ((ca_gmt_offset = -6) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColEqualDecimal64Scalar(col 11:decimal(5,2)/DECIMAL_64, val -600), SelectColumnIsNotNull(col 0:int))
predicate: ((ca_gmt_offset = -6) and ca_address_sk is not null) (type: boolean)
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ca_address_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: store_sales
filterExpr: (ss_sold_date_sk is not null and ss_addr_sk is not null and ss_item_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 6:int), SelectColumnIsNotNull(col 2:int))
predicate: (ss_addr_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null) (type: boolean)
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_addr_sk (type: int), ss_ext_sales_price (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 6, 15]
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 10
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -391,6 +637,11 @@ STAGE PLANS:
Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: decimal(7,2))
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -411,6 +662,11 @@ STAGE PLANS:
Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: decimal(7,2))
Reducer 15
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -427,6 +683,11 @@ STAGE PLANS:
Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Reducer 16
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -450,15 +711,37 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 17
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 191657247 Data size: 25954241376 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0, _col1
@@ -467,12 +750,29 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 670816147 Data size: 72801917426 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(27,2))
Reducer 19
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
@@ -481,8 +781,17 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 115500 Data size: 165890114 Basic stats: COMPLETE Column stats: NONE
Reducer 21
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -499,6 +808,11 @@ STAGE PLANS:
Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: decimal(7,2))
Reducer 22
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -519,6 +833,11 @@ STAGE PLANS:
Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE
value expressions: _col5 (type: decimal(7,2))
Reducer 26
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -535,6 +854,11 @@ STAGE PLANS:
Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int)
Reducer 27
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -558,15 +882,37 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 28
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 95833781 Data size: 13030622757 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0, _col1
@@ -575,9 +921,18 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 670816147 Data size: 72801917426 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(27,2))
Reducer 3
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -601,8 +956,21 @@ STAGE PLANS:
value expressions: _col1 (type: decimal(17,2))
Reducer 30
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0
@@ -611,8 +979,17 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 115500 Data size: 165890114 Basic stats: COMPLETE Column stats: NONE
Reducer 32
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -629,6 +1006,11 @@ STAGE PLANS:
Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col3 (type: decimal(7,2))
Reducer 33
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -650,15 +1032,37 @@ STAGE PLANS:
value expressions: _col5 (type: decimal(7,2))
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(17,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
keys: _col0 (type: int)
mode: hash
outputColumnNames: _col0, _col1
@@ -667,13 +1071,31 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 670816147 Data size: 72801917426 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: decimal(27,2))
Reducer 5
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 1:decimal(27,2)) -> decimal(27,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1
@@ -681,21 +1103,41 @@ STAGE PLANS:
Reduce Output Operator
key expressions: _col1 (type: decimal(27,2))
sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 335408073 Data size: 36400958658 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col0 (type: int)
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: VALUE._col0 (type: int), KEY.reducesinkkey0 (type: decimal(27,2))
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
Statistics: Num rows: 335408073 Data size: 36400958658 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 10800 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[42/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query21.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query21.q.out b/ql/src/test/results/clientpositive/perf/spark/query21.q.out
index 1673061..c3fde7b 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query21.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query21.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select *
from(select w_warehouse_name
,i_item_id
@@ -27,7 +27,7 @@ select *
,i_item_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select *
from(select w_warehouse_name
,i_item_id
@@ -56,6 +56,10 @@ select *
,i_item_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-3 depends on stages: Stage-2
@@ -73,18 +77,40 @@ STAGE PLANS:
alias: warehouse
filterExpr: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: w_warehouse_sk (type: int), w_warehouse_name (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -98,18 +124,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-09 00:00:00' AND TIMESTAMP'1998-05-08 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterTimestampColumnBetween(col 29:timestamp, left 1998-03-08 16:00:00.0, right 1998-05-07 17:00:00.0)(children: CastStringToTimestamp(col 2:string) -> 29:timestamp), SelectColumnIsNotNull(col 0:int))
predicate: (CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-09 00:00:00' AND TIMESTAMP'1998-05-08 00:00:00' and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int), d_date (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -127,12 +175,22 @@ STAGE PLANS:
alias: inventory
filterExpr: (inv_warehouse_sk is not null and inv_item_sk is not null and inv_date_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 2:int), SelectColumnIsNotNull(col 1:int), SelectColumnIsNotNull(col 0:int))
predicate: (inv_date_sk is not null and inv_item_sk is not null and inv_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: inv_date_sk (type: int), inv_item_sk (type: int), inv_warehouse_sk (type: int), inv_quantity_on_hand (type: int)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -140,6 +198,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col3, _col5
input vertices:
1 Map 5
@@ -148,9 +210,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 41342400 Data size: 653203228 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: int), _col3 (type: int), _col5 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 6
@@ -159,23 +234,51 @@ STAGE PLANS:
alias: item
filterExpr: (i_current_price BETWEEN 0.99 AND 1.49 and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDecimal64ColumnBetween(col 5:decimal(7,2)/DECIMAL_64, decimal64LeftVal 99, decimalLeftVal 0.99, decimal64RightVal 149, decimalRightVal 1.49), SelectColumnIsNotNull(col 0:int))
predicate: (i_current_price BETWEEN 0.99 AND 1.49 and i_item_sk is not null) (type: boolean)
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_item_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -213,34 +316,72 @@ STAGE PLANS:
value expressions: _col2 (type: bigint), _col3 (type: bigint)
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), sum(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 2:bigint) -> bigint, VectorUDAFSumLong(col 3:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: string), KEY._col1 (type: string)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3
Statistics: Num rows: 25012152 Data size: 395187961 Basic stats: COMPLETE Column stats: NONE
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsTrue(col 9:boolean)(children: IfExprCondExprNull(col 4:boolean, col 8:boolean, null)(children: LongColGreaterLongScalar(col 2:bigint, val 0) -> 4:boolean, DoubleColumnBetween(col 7:double, left 0.666667, right 1.5)(children: DoubleColDivideDoubleColumn(col 5:double, col 6:double)(children: CastLongToDouble(col 3:bigint) -> 5:double, CastLongToDouble(col 2:bigint) -> 6:double) -> 7:double) -> 8:boolean) -> 9:boolean)
predicate: CASE WHEN ((_col2 > 0L)) THEN ((UDFToDouble(_col3) / UDFToDouble(_col2)) BETWEEN 0.666667D AND 1.5D) ELSE (null) END (type: boolean)
Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: string), _col1 (type: string)
sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
value expressions: _col2 (type: bigint), _col3 (type: bigint)
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: bigint)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 1500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 1500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query22.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query22.q.out b/ql/src/test/results/clientpositive/perf/spark/query22.q.out
index 2a99cc3..3d99a80 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query22.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query22.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
select i_product_name
,i_brand
,i_class
@@ -19,7 +19,7 @@ select i_product_name
order by qoh, i_product_name, i_brand, i_class, i_category
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
select i_product_name
,i_brand
,i_class
@@ -40,6 +40,10 @@ select i_product_name
order by qoh, i_product_name, i_brand, i_class, i_category
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -56,18 +60,40 @@ STAGE PLANS:
alias: date_dim
filterExpr: (d_month_seq BETWEEN 1212 AND 1223 and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColumnBetween(col 3:int, left 1212, right 1223), SelectColumnIsNotNull(col 0:int))
predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean)
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col0 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 6
@@ -76,18 +102,40 @@ STAGE PLANS:
alias: warehouse
filterExpr: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: w_warehouse_sk is not null (type: boolean)
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: w_warehouse_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col2 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -105,12 +153,22 @@ STAGE PLANS:
alias: inventory
filterExpr: (inv_date_sk is not null and inv_item_sk is not null and inv_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 1:int), SelectColumnIsNotNull(col 2:int))
predicate: (inv_date_sk is not null and inv_item_sk is not null and inv_warehouse_sk is not null) (type: boolean)
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: inv_date_sk (type: int), inv_item_sk (type: int), inv_warehouse_sk (type: int), inv_quantity_on_hand (type: int)
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -118,6 +176,10 @@ STAGE PLANS:
keys:
0 _col0 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col2, _col3
input vertices:
1 Map 5
@@ -128,6 +190,10 @@ STAGE PLANS:
keys:
0 _col2 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col1, _col3
input vertices:
1 Map 6
@@ -136,9 +202,22 @@ STAGE PLANS:
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 45476640 Data size: 718523566 Basic stats: COMPLETE Column stats: NONE
value expressions: _col3 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
Map 7
@@ -147,21 +226,49 @@ STAGE PLANS:
alias: item
filterExpr: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: i_item_sk is not null (type: boolean)
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: i_item_sk (type: int), i_brand (type: string), i_class (type: string), i_category (type: string), i_product_name (type: string)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 8, 10, 12, 21]
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -185,9 +292,23 @@ STAGE PLANS:
value expressions: _col5 (type: bigint), _col6 (type: bigint)
Reducer 3
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0), count(VALUE._col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 5:bigint) -> bigint, VectorUDAFCountMerge(col 6:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:string, col 2:string, col 3:string, col 4:bigint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1]
keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: bigint)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2, _col3, _col5, _col6
@@ -196,24 +317,49 @@ STAGE PLANS:
Select Operator
expressions: _col3 (type: string), _col0 (type: string), _col1 (type: string), _col2 (type: string), (_col5 / _col6) (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 0, 1, 2, 6]
+ selectExpressions: LongColDivideLongColumn(col 4:bigint, col 5:bigint) -> 6:double
Statistics: Num rows: 125060762 Data size: 1975939839 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col4 (type: double), _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string)
sort order: +++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 125060762 Data size: 1975939839 Basic stats: COMPLETE Column stats: NONE
TopN Hash Memory Usage: 0.1
Reducer 4
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey0 (type: double)
outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 2, 3, 4, 0]
Statistics: Num rows: 125060762 Data size: 1975939839 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 1500 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 1500 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat
[48/51] [partial] hive git commit: HIVE-20315: Vectorization: Fix
more NULL / Wrong Results issues and avoid unnecessary casts/conversions
(Matt McCline, reviewed by Teddy Choi)
Posted by mm...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/llap/vector_decimal_mapjoin.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/vector_decimal_mapjoin.q.out b/ql/src/test/results/clientpositive/llap/vector_decimal_mapjoin.q.out
index b66fb9f..cbc4c5d 100644
--- a/ql/src/test/results/clientpositive/llap/vector_decimal_mapjoin.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_decimal_mapjoin.q.out
@@ -1035,8 +1035,8 @@ STAGE PLANS:
0 _col0 (type: decimal(16,2))
1 _col0 (type: decimal(16,2))
Map Join Vectorization:
- bigTableKeyExpressions: ConvertDecimal64ToDecimal(col 0:decimal(16,2)/DECIMAL_64) -> 3:decimal(16,2)
- bigTableValueExpressions: ConvertDecimal64ToDecimal(col 0:decimal(16,2)/DECIMAL_64) -> 4:decimal(16,2), ConvertDecimal64ToDecimal(col 1:decimal(14,2)/DECIMAL_64) -> 5:decimal(14,2)
+ bigTableKeyExpressions: ConvertDecimal64ToDecimal(col 0:decimal(16,2)/DECIMAL_64) -> 4:decimal(16,2)
+ bigTableValueExpressions: ConvertDecimal64ToDecimal(col 0:decimal(16,2)/DECIMAL_64) -> 5:decimal(16,2), ConvertDecimal64ToDecimal(col 1:decimal(14,2)/DECIMAL_64) -> 6:decimal(14,2)
className: VectorMapJoinOperator
native: false
nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true
@@ -1072,7 +1072,7 @@ STAGE PLANS:
includeColumns: [0, 1]
dataColumns: dec:decimal(14,2)/DECIMAL_64, value_dec:decimal(14,2)/DECIMAL_64
partitionColumnCount: 0
- scratchColumnTypeNames: [decimal(16,2), decimal(16,2), decimal(14,2), decimal(14,0)]
+ scratchColumnTypeNames: [decimal(14,0), decimal(16,2), decimal(16,2), decimal(14,2)]
Map 2
Map Operator Tree:
TableScan
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/llap/vector_outer_reference_windowed.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/vector_outer_reference_windowed.q.out b/ql/src/test/results/clientpositive/llap/vector_outer_reference_windowed.q.out
index ba2d9df..17edd47 100644
--- a/ql/src/test/results/clientpositive/llap/vector_outer_reference_windowed.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_outer_reference_windowed.q.out
@@ -503,7 +503,7 @@ STAGE PLANS:
aggregators: VectorUDAFSumDecimal64ToDecimal(col 0:decimal(15,2)/DECIMAL_64) -> decimal(25,2)
className: VectorGroupByOperator
groupByMode: HASH
- keyExpressions: ConvertDecimal64ToDecimal(col 0:decimal(15,2)/DECIMAL_64) -> 3:decimal(15,2), ConvertDecimal64ToDecimal(col 1:decimal(15,2)/DECIMAL_64) -> 4:decimal(15,2)
+ keyExpressions: col 0:decimal(15,2)/DECIMAL_64, col 1:decimal(15,2)/DECIMAL_64
native: false
vectorProcessingMode: HASH
projectedOutputColumnNums: [0]
@@ -539,7 +539,7 @@ STAGE PLANS:
includeColumns: [0, 1]
dataColumns: c1:decimal(15,2)/DECIMAL_64, c2:decimal(15,2)/DECIMAL_64
partitionColumnCount: 0
- scratchColumnTypeNames: [decimal(15,2), decimal(15,2)]
+ scratchColumnTypeNames: []
Reducer 2
Execution mode: vectorized, llap
Reduce Vectorization:
@@ -1801,7 +1801,7 @@ STAGE PLANS:
aggregators: VectorUDAFSumDecimal64(col 0:decimal(7,2)/DECIMAL_64) -> decimal(17,2)/DECIMAL_64
className: VectorGroupByOperator
groupByMode: HASH
- keyExpressions: ConvertDecimal64ToDecimal(col 0:decimal(7,2)/DECIMAL_64) -> 3:decimal(7,2), ConvertDecimal64ToDecimal(col 1:decimal(7,2)/DECIMAL_64) -> 4:decimal(7,2)
+ keyExpressions: col 0:decimal(7,2)/DECIMAL_64, col 1:decimal(7,2)/DECIMAL_64
native: false
vectorProcessingMode: HASH
projectedOutputColumnNums: [0]
@@ -1837,7 +1837,7 @@ STAGE PLANS:
includeColumns: [0, 1]
dataColumns: c1:decimal(7,2)/DECIMAL_64, c2:decimal(7,2)/DECIMAL_64
partitionColumnCount: 0
- scratchColumnTypeNames: [decimal(7,2), decimal(7,2)]
+ scratchColumnTypeNames: []
Reducer 2
Execution mode: vectorized, llap
Reduce Vectorization:
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/llap/vector_udf1.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/vector_udf1.q.out b/ql/src/test/results/clientpositive/llap/vector_udf1.q.out
index 2d043e7..5db37eb 100644
--- a/ql/src/test/results/clientpositive/llap/vector_udf1.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_udf1.q.out
@@ -71,8 +71,8 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [9, 10, 14]
- selectExpressions: StringGroupConcatColCol(col 0:string, col 1:string) -> 9:string, StringGroupConcatColCol(col 2:varchar(10), col 3:varchar(20)) -> 10:varchar(30), StringGroupColEqualStringGroupColumn(col 11:string, col 13:string)(children: StringGroupConcatColCol(col 0:string, col 1:string) -> 11:string, CastStringGroupToString(col 12:varchar(30))(children: StringGroupConcatColCol(col 2:varchar(10), col 3:varchar(20)) -> 12:varchar(30)) -> 13:string) -> 14:boolean
+ projectedOutputColumnNums: [9, 10, 13]
+ selectExpressions: StringGroupConcatColCol(col 0:string, col 1:string) -> 9:string, StringGroupConcatColCol(col 2:varchar(10), col 3:varchar(20)) -> 10:varchar(30), StringGroupColEqualStringGroupColumn(col 11:string, col 12:string)(children: StringGroupConcatColCol(col 0:string, col 1:string) -> 11:string, StringGroupConcatColCol(col 2:varchar(10), col 3:varchar(20)) -> 12:varchar(30)) -> 13:boolean
Statistics: Num rows: 1 Data size: 302 Basic stats: COMPLETE Column stats: COMPLETE
Limit
Number of rows: 1
@@ -106,7 +106,7 @@ STAGE PLANS:
includeColumns: [0, 1, 2, 3]
dataColumns: c1:string, c2:string, c3:varchar(10), c4:varchar(20), d1:string, d2:string, d3:varchar(10), d4:varchar(10)
partitionColumnCount: 0
- scratchColumnTypeNames: [string, string, string, string, string, bigint]
+ scratchColumnTypeNames: [string, string, string, string, bigint]
Stage: Stage-0
Fetch Operator
@@ -172,8 +172,8 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [9, 10, 14]
- selectExpressions: StringUpper(col 1:string) -> 9:string, StringUpper(col 3:varchar(20)) -> 10:varchar(20), StringGroupColEqualStringGroupColumn(col 11:string, col 13:string)(children: StringUpper(col 1:string) -> 11:string, CastStringGroupToString(col 12:varchar(20))(children: StringUpper(col 3:varchar(20)) -> 12:varchar(20)) -> 13:string) -> 14:boolean
+ projectedOutputColumnNums: [9, 10, 13]
+ selectExpressions: StringUpper(col 1:string) -> 9:string, StringUpper(col 3:varchar(20)) -> 10:varchar(20), StringGroupColEqualStringGroupColumn(col 11:string, col 12:string)(children: StringUpper(col 1:string) -> 11:string, StringUpper(col 3:varchar(20)) -> 12:varchar(20)) -> 13:boolean
Statistics: Num rows: 1 Data size: 292 Basic stats: COMPLETE Column stats: COMPLETE
Limit
Number of rows: 1
@@ -207,7 +207,7 @@ STAGE PLANS:
includeColumns: [1, 3]
dataColumns: c1:string, c2:string, c3:varchar(10), c4:varchar(20), d1:string, d2:string, d3:varchar(10), d4:varchar(10)
partitionColumnCount: 0
- scratchColumnTypeNames: [string, string, string, string, string, bigint]
+ scratchColumnTypeNames: [string, string, string, string, bigint]
Stage: Stage-0
Fetch Operator
@@ -273,8 +273,8 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [9, 10, 14]
- selectExpressions: StringLower(col 1:string) -> 9:string, StringLower(col 3:varchar(20)) -> 10:varchar(20), StringGroupColEqualStringGroupColumn(col 11:string, col 13:string)(children: StringLower(col 1:string) -> 11:string, CastStringGroupToString(col 12:varchar(20))(children: StringLower(col 3:varchar(20)) -> 12:varchar(20)) -> 13:string) -> 14:boolean
+ projectedOutputColumnNums: [9, 10, 13]
+ selectExpressions: StringLower(col 1:string) -> 9:string, StringLower(col 3:varchar(20)) -> 10:varchar(20), StringGroupColEqualStringGroupColumn(col 11:string, col 12:string)(children: StringLower(col 1:string) -> 11:string, StringLower(col 3:varchar(20)) -> 12:varchar(20)) -> 13:boolean
Statistics: Num rows: 1 Data size: 292 Basic stats: COMPLETE Column stats: COMPLETE
Limit
Number of rows: 1
@@ -308,7 +308,7 @@ STAGE PLANS:
includeColumns: [1, 3]
dataColumns: c1:string, c2:string, c3:varchar(10), c4:varchar(20), d1:string, d2:string, d3:varchar(10), d4:varchar(10)
partitionColumnCount: 0
- scratchColumnTypeNames: [string, string, string, string, string, bigint]
+ scratchColumnTypeNames: [string, string, string, string, bigint]
Stage: Stage-0
Fetch Operator
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/llap/vectorized_casts.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/vectorized_casts.q.out b/ql/src/test/results/clientpositive/llap/vectorized_casts.q.out
index 6a72515..25dc151 100644
--- a/ql/src/test/results/clientpositive/llap/vectorized_casts.q.out
+++ b/ql/src/test/results/clientpositive/llap/vectorized_casts.q.out
@@ -183,8 +183,8 @@ STAGE PLANS:
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [13, 14, 15, 16, 17, 18, 10, 20, 19, 21, 0, 1, 2, 3, 22, 23, 10, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 4, 5, 35, 36, 37, 38, 39, 5, 41, 43, 45, 47, 48, 49, 51, 54, 55, 8, 56, 57, 26, 58, 59, 60, 61, 62, 63, 64, 65, 6, 67, 68, 69, 70, 66, 73]
- selectExpressions: CastLongToBooleanViaLongToLong(col 0:tinyint) -> 13:boolean, CastLongToBooleanViaLongToLong(col 1:smallint) -> 14:boolean, CastLongToBooleanViaLongToLong(col 2:int) -> 15:boolean, CastLongToBooleanViaLongToLong(col 3:bigint) -> 16:boolean, CastDoubleToBooleanViaDoubleToLong(col 4:float) -> 17:boolean, CastDoubleToBooleanViaDoubleToLong(col 5:double) -> 18:boolean, CastLongToBooleanViaLongToLong(col 19:bigint)(children: LongColMultiplyLongScalar(col 3:bigint, val 0) -> 19:bigint) -> 20:boolean, CastTimestampToBoolean(col 8:timestamp) -> 19:boolean, CastStringToBoolean(col 6) -> 21:boolean, CastDoubleToLong(col 4:float) -> 22:int, CastDoubleToLong(col 5:double) -> 23:int, CastTimestampToLong(col 8:timestamp) -> 24:int, CastStringToLong(col 6:string) -> 25:int, CastStringToLong(col 26:string)(children: StringSubstrColStartLen(col 6:string, start 0, length 1) -> 26:string) -> 27:int, CastDoubleToLong(col 4:float) -> 28:tinyint, CastDoubleToLo
ng(col 4:float) -> 29:smallint, CastDoubleToLong(col 4:float) -> 30:bigint, CastLongToDouble(col 0:tinyint) -> 31:double, CastLongToDouble(col 1:smallint) -> 32:double, CastLongToDouble(col 2:int) -> 33:double, CastLongToDouble(col 3:bigint) -> 34:double, CastLongToDouble(col 10:boolean) -> 35:double, CastTimestampToDouble(col 8:timestamp) -> 36:double, CastStringToDouble(col 6:string) -> 37:double, CastStringToDouble(col 26:string)(children: StringSubstrColStartLen(col 6:string, start 0, length 1) -> 26:string) -> 38:double, CastLongToFloatViaLongToDouble(col 2:int) -> 39:float, CastMillisecondsLongToTimestamp(col 0:tinyint) -> 41:timestamp, CastMillisecondsLongToTimestamp(col 1:smallint) -> 43:timestamp, CastMillisecondsLongToTimestamp(col 2:int) -> 45:timestamp, CastMillisecondsLongToTimestamp(col 3:bigint) -> 47:timestamp, CastDoubleToTimestamp(col 4:float) -> 48:timestamp, CastDoubleToTimestamp(col 5:double) -> 49:timestamp, CastMillisecondsLongToTimestamp(col 10:boolean) -> 51
:timestamp, CastMillisecondsLongToTimestamp(col 52:bigint)(children: LongColMultiplyLongScalar(col 3:bigint, val 0) -> 52:bigint) -> 54:timestamp, CastDateToTimestamp(col 52:date)(children: CastTimestampToDate(col 8:timestamp) -> 52:date) -> 55:timestamp, CastStringToTimestamp(col 6:string) -> 56:timestamp, CastStringToTimestamp(col 26:string)(children: StringSubstrColStartLen(col 6:string, start 0, length 1) -> 26:string) -> 57:timestamp, CastLongToString(col 0:tinyint) -> 26:string, CastLongToString(col 1:smallint) -> 58:string, CastLongToString(col 2:int) -> 59:string, CastLongToString(col 3:bigint) -> 60:string, CastFloatToString(col 4:float) -> 61:string, CastDoubleToString(col 5:double) -> 62:string, CastBooleanToStringViaLongToString(col 10:boolean) -> 63:string, CastLongToString(col 52:bigint)(children: LongColMultiplyLongScalar(col 3:bigint, val 0) -> 52:bigint) -> 64:string, CastTimestampToString(col 8:timestamp) -> 65:string, CastStringGroupToString(col 66:char(10))(child
ren: CastStringGroupToChar(col 6:string, maxLength 10) -> 66:char(10)) -> 67:string, CastStringGroupToString(col 66:varchar(10))(children: CastStringGroupToVarChar(col 6:string, maxLength 10) -> 66:varchar(10)) -> 68:string, CastLongToFloatViaLongToDouble(col 52:int)(children: CastDoubleToLong(col 4:float) -> 52:int) -> 69:float, CastLongToDouble(col 52:int)(children: LongColMultiplyLongScalar(col 2:int, val 2) -> 52:int) -> 70:double, CastDoubleToString(col 71:double)(children: FuncSinDoubleToDouble(col 4:float) -> 71:double) -> 66:string, DoubleColAddDoubleColumn(col 71:double, col 72:double)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 71:float, CastLongToDouble(col 10:boolean) -> 72:double) -> 73:double
+ projectedOutputColumnNums: [13, 14, 15, 16, 17, 18, 10, 20, 19, 21, 0, 1, 2, 3, 22, 23, 10, 24, 25, 27, 28, 29, 30, 31, 32, 33, 34, 4, 5, 35, 36, 37, 38, 39, 5, 41, 43, 45, 47, 48, 49, 51, 54, 55, 8, 56, 57, 26, 58, 59, 60, 61, 62, 63, 64, 65, 6, 66, 67, 68, 69, 71, 73]
+ selectExpressions: CastLongToBooleanViaLongToLong(col 0:tinyint) -> 13:boolean, CastLongToBooleanViaLongToLong(col 1:smallint) -> 14:boolean, CastLongToBooleanViaLongToLong(col 2:int) -> 15:boolean, CastLongToBooleanViaLongToLong(col 3:bigint) -> 16:boolean, CastDoubleToBooleanViaDoubleToLong(col 4:float) -> 17:boolean, CastDoubleToBooleanViaDoubleToLong(col 5:double) -> 18:boolean, CastLongToBooleanViaLongToLong(col 19:bigint)(children: LongColMultiplyLongScalar(col 3:bigint, val 0) -> 19:bigint) -> 20:boolean, CastTimestampToBoolean(col 8:timestamp) -> 19:boolean, CastStringToBoolean(col 6) -> 21:boolean, CastDoubleToLong(col 4:float) -> 22:int, CastDoubleToLong(col 5:double) -> 23:int, CastTimestampToLong(col 8:timestamp) -> 24:int, CastStringToLong(col 6:string) -> 25:int, CastStringToLong(col 26:string)(children: StringSubstrColStartLen(col 6:string, start 0, length 1) -> 26:string) -> 27:int, CastDoubleToLong(col 4:float) -> 28:tinyint, CastDoubleToLo
ng(col 4:float) -> 29:smallint, CastDoubleToLong(col 4:float) -> 30:bigint, CastLongToDouble(col 0:tinyint) -> 31:double, CastLongToDouble(col 1:smallint) -> 32:double, CastLongToDouble(col 2:int) -> 33:double, CastLongToDouble(col 3:bigint) -> 34:double, CastLongToDouble(col 10:boolean) -> 35:double, CastTimestampToDouble(col 8:timestamp) -> 36:double, CastStringToDouble(col 6:string) -> 37:double, CastStringToDouble(col 26:string)(children: StringSubstrColStartLen(col 6:string, start 0, length 1) -> 26:string) -> 38:double, CastLongToFloatViaLongToDouble(col 2:int) -> 39:float, CastMillisecondsLongToTimestamp(col 0:tinyint) -> 41:timestamp, CastMillisecondsLongToTimestamp(col 1:smallint) -> 43:timestamp, CastMillisecondsLongToTimestamp(col 2:int) -> 45:timestamp, CastMillisecondsLongToTimestamp(col 3:bigint) -> 47:timestamp, CastDoubleToTimestamp(col 4:float) -> 48:timestamp, CastDoubleToTimestamp(col 5:double) -> 49:timestamp, CastMillisecondsLongToTimestamp(col 10:boolean) -> 51
:timestamp, CastMillisecondsLongToTimestamp(col 52:bigint)(children: LongColMultiplyLongScalar(col 3:bigint, val 0) -> 52:bigint) -> 54:timestamp, CastDateToTimestamp(col 52:date)(children: CastTimestampToDate(col 8:timestamp) -> 52:date) -> 55:timestamp, CastStringToTimestamp(col 6:string) -> 56:timestamp, CastStringToTimestamp(col 26:string)(children: StringSubstrColStartLen(col 6:string, start 0, length 1) -> 26:string) -> 57:timestamp, CastLongToString(col 0:tinyint) -> 26:string, CastLongToString(col 1:smallint) -> 58:string, CastLongToString(col 2:int) -> 59:string, CastLongToString(col 3:bigint) -> 60:string, CastFloatToString(col 4:float) -> 61:string, CastDoubleToString(col 5:double) -> 62:string, CastBooleanToStringViaLongToString(col 10:boolean) -> 63:string, CastLongToString(col 52:bigint)(children: LongColMultiplyLongScalar(col 3:bigint, val 0) -> 52:bigint) -> 64:string, CastTimestampToString(col 8:timestamp) -> 65:string, CastStringGroupToChar(col 6:string, maxLength
10) -> 66:char(10), CastStringGroupToVarChar(col 6:string, maxLength 10) -> 67:varchar(10), CastLongToFloatViaLongToDouble(col 52:int)(children: CastDoubleToLong(col 4:float) -> 52:int) -> 68:float, CastLongToDouble(col 52:int)(children: LongColMultiplyLongScalar(col 2:int, val 2) -> 52:int) -> 69:double, CastDoubleToString(col 70:double)(children: FuncSinDoubleToDouble(col 4:float) -> 70:double) -> 71:string, DoubleColAddDoubleColumn(col 70:double, col 72:double)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 70:float, CastLongToDouble(col 10:boolean) -> 72:double) -> 73:double
Statistics: Num rows: 6144 Data size: 16362860 Basic stats: COMPLETE Column stats: COMPLETE
File Output Operator
compressed: false
@@ -212,7 +212,7 @@ STAGE PLANS:
includeColumns: [0, 1, 2, 3, 4, 5, 6, 8, 10]
dataColumns: ctinyint:tinyint, csmallint:smallint, cint:int, cbigint:bigint, cfloat:float, cdouble:double, cstring1:string, cstring2:string, ctimestamp1:timestamp, ctimestamp2:timestamp, cboolean1:boolean, cboolean2:boolean
partitionColumnCount: 0
- scratchColumnTypeNames: [bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, string, bigint, bigint, bigint, bigint, double, double, double, double, double, double, double, double, double, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, bigint, timestamp, timestamp, timestamp, timestamp, timestamp, string, string, string, string, string, string, string, string, string, string, string, double, double, double, double, double]
+ scratchColumnTypeNames: [bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, string, bigint, bigint, bigint, bigint, double, double, double, double, double, double, double, double, double, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, timestamp, bigint, timestamp, timestamp, timestamp, timestamp, timestamp, string, string, string, string, string, string, string, string, string, string, double, double, double, string, double, double]
Stage: Stage-0
Fetch Operator
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/llap/vectorized_mapjoin3.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/vectorized_mapjoin3.q.out b/ql/src/test/results/clientpositive/llap/vectorized_mapjoin3.q.out
index 23120a5..6881348 100644
--- a/ql/src/test/results/clientpositive/llap/vectorized_mapjoin3.q.out
+++ b/ql/src/test/results/clientpositive/llap/vectorized_mapjoin3.q.out
@@ -147,13 +147,12 @@ STAGE PLANS:
1 _col0 (type: int)
Map Join Vectorization:
bigTableKeyColumnNums: [1]
- bigTableRetainedColumnNums: [3]
- bigTableValueColumnNums: [3]
- bigTableValueExpressions: ConvertDecimal64ToDecimal(col 0:decimal(8,1)/DECIMAL_64) -> 3:decimal(8,1)
+ bigTableRetainedColumnNums: [0]
+ bigTableValueColumnNums: [0]
className: VectorMapJoinInnerBigOnlyLongOperator
native: true
nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
- projectedOutputColumnNums: [3]
+ projectedOutputColumnNums: [0]
outputColumnNames: _col0
input vertices:
1 Reducer 3
@@ -184,7 +183,7 @@ STAGE PLANS:
includeColumns: [0, 1]
dataColumns: decimal0801_col:decimal(8,1)/DECIMAL_64, int_col_1:int
partitionColumnCount: 0
- scratchColumnTypeNames: [decimal(8,1)]
+ scratchColumnTypeNames: []
Map 2
Map Operator Tree:
TableScan
@@ -352,13 +351,12 @@ STAGE PLANS:
1 _col0 (type: int)
Map Join Vectorization:
bigTableKeyColumnNums: [1]
- bigTableRetainedColumnNums: [3]
- bigTableValueColumnNums: [3]
- bigTableValueExpressions: ConvertDecimal64ToDecimal(col 0:decimal(8,1)/DECIMAL_64) -> 3:decimal(8,1)
+ bigTableRetainedColumnNums: [0]
+ bigTableValueColumnNums: [0]
className: VectorMapJoinInnerBigOnlyLongOperator
native: true
nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
- projectedOutputColumnNums: [3]
+ projectedOutputColumnNums: [0]
outputColumnNames: _col0
input vertices:
1 Reducer 3
@@ -389,7 +387,7 @@ STAGE PLANS:
includeColumns: [0, 1]
dataColumns: decimal0801_col:decimal(8,1)/DECIMAL_64, int_col_1:int
partitionColumnCount: 0
- scratchColumnTypeNames: [decimal(8,1)]
+ scratchColumnTypeNames: []
Map 2
Map Operator Tree:
TableScan
@@ -557,13 +555,12 @@ STAGE PLANS:
1 _col0 (type: int)
Map Join Vectorization:
bigTableKeyColumnNums: [1]
- bigTableRetainedColumnNums: [3]
- bigTableValueColumnNums: [3]
- bigTableValueExpressions: ConvertDecimal64ToDecimal(col 0:decimal(8,1)/DECIMAL_64) -> 3:decimal(8,1)
+ bigTableRetainedColumnNums: [0]
+ bigTableValueColumnNums: [0]
className: VectorMapJoinInnerBigOnlyLongOperator
native: true
nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
- projectedOutputColumnNums: [3]
+ projectedOutputColumnNums: [0]
outputColumnNames: _col0
input vertices:
1 Reducer 3
@@ -594,7 +591,7 @@ STAGE PLANS:
includeColumns: [0, 1]
dataColumns: decimal0801_col:decimal(8,1)/DECIMAL_64, int_col_1:int
partitionColumnCount: 0
- scratchColumnTypeNames: [decimal(8,1)]
+ scratchColumnTypeNames: []
Map 2
Map Operator Tree:
TableScan
http://git-wip-us.apache.org/repos/asf/hive/blob/470ba3e2/ql/src/test/results/clientpositive/perf/spark/query1.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query1.q.out b/ql/src/test/results/clientpositive/perf/spark/query1.q.out
index 19f24ba..5cbab38 100644
--- a/ql/src/test/results/clientpositive/perf/spark/query1.q.out
+++ b/ql/src/test/results/clientpositive/perf/spark/query1.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: explain
+PREHOOK: query: explain vectorization expression
with customer_total_return as
(select sr_customer_sk as ctr_customer_sk
,sr_store_sk as ctr_store_sk
@@ -22,7 +22,7 @@ and ctr1.ctr_customer_sk = c_customer_sk
order by c_customer_id
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain
+POSTHOOK: query: explain vectorization expression
with customer_total_return as
(select sr_customer_sk as ctr_customer_sk
,sr_store_sk as ctr_store_sk
@@ -46,6 +46,10 @@ and ctr1.ctr_customer_sk = c_customer_sk
order by c_customer_id
limit 100
POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
STAGE DEPENDENCIES:
Stage-2 is a root stage
Stage-1 depends on stages: Stage-2
@@ -62,18 +66,40 @@ STAGE PLANS:
alias: store
filterExpr: ((s_state = 'NM') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringGroupColEqualStringScalar(col 24:string, val NM), SelectColumnIsNotNull(col 0:int))
predicate: ((s_state = 'NM') and s_store_sk is not null) (type: boolean)
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: s_store_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE
Spark HashTable Sink Operator
+ Spark Hash Table Sink Vectorization:
+ className: VectorSparkHashTableSinkOperator
+ native: true
keys:
0 _col1 (type: int)
1 _col0 (type: int)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -95,99 +121,219 @@ STAGE PLANS:
alias: store_returns
filterExpr: (sr_returned_date_sk is not null and sr_store_sk is not null and sr_customer_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int), SelectColumnIsNotNull(col 3:int))
predicate: (sr_customer_sk is not null and sr_returned_date_sk is not null and sr_store_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_returned_date_sk (type: int), sr_customer_sk (type: int), sr_store_sk (type: int), sr_fee (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 7, 14]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 10
Map Operator Tree:
TableScan
alias: store_returns
filterExpr: (sr_returned_date_sk is not null and sr_store_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNotNull(col 0:int), SelectColumnIsNotNull(col 7:int))
predicate: (sr_returned_date_sk is not null and sr_store_sk is not null) (type: boolean)
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: sr_returned_date_sk (type: int), sr_customer_sk (type: int), sr_store_sk (type: int), sr_fee (type: decimal(7,2))
outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 7, 14]
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2))
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 13
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 7
Map Operator Tree:
TableScan
alias: date_dim
filterExpr: ((d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColEqualLongScalar(col 6:int, val 2000), SelectColumnIsNotNull(col 0:int))
predicate: ((d_year = 2000) and d_date_sk is not null) (type: boolean)
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: d_date_sk (type: int)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Map 9
Map Operator Tree:
TableScan
alias: customer
filterExpr: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
predicate: c_customer_sk is not null (type: boolean)
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: c_customer_sk (type: int), c_customer_id (type: string)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1]
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: string)
Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: [DECIMAL_64]
+ featureSupportInUse: [DECIMAL_64]
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reducer 11
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -211,9 +357,23 @@ STAGE PLANS:
value expressions: _col2 (type: decimal(17,2))
Reducer 12
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -221,9 +381,21 @@ STAGE PLANS:
Select Operator
expressions: _col0 (type: int), _col2 (type: decimal(17,2))
outputColumnNames: _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2]
Statistics: Num rows: 31675133 Data size: 2454207210 Basic stats: COMPLETE Column stats: NONE
Group By Operator
aggregations: sum(_col2), count(_col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(27,2), VectorUDAFCount(col 2:decimal(17,2)) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:int
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0, 1]
keys: _col1 (type: int)
mode: complete
outputColumnNames: _col0, _col1, _col2
@@ -231,14 +403,28 @@ STAGE PLANS:
Select Operator
expressions: ((_col1 / _col2) * 1.2) (type: decimal(38,11)), _col0 (type: int)
outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 0]
+ selectExpressions: DecimalColMultiplyDecimalScalar(col 4:decimal(38,13), val 1.2)(children: DecimalColDivideDecimalColumn(col 1:decimal(27,2), col 3:decimal(19,0))(children: CastLongToDecimal(col 2:bigint) -> 3:decimal(19,0)) -> 4:decimal(38,13)) -> 5:decimal(38,11)
Statistics: Num rows: 15837566 Data size: 1227103566 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: _col1 (type: int)
sort order: +
Map-reduce partition columns: _col1 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 15837566 Data size: 1227103566 Basic stats: COMPLETE Column stats: NONE
value expressions: _col0 (type: decimal(38,11))
Reducer 2
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -264,9 +450,23 @@ STAGE PLANS:
Execution mode: vectorized
Local Work:
Map Reduce Local Work
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Group By Operator
aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDecimal(col 2:decimal(17,2)) -> decimal(17,2)
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:int, col 1:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
keys: KEY._col0 (type: int), KEY._col1 (type: int)
mode: mergepartial
outputColumnNames: _col0, _col1, _col2
@@ -274,6 +474,10 @@ STAGE PLANS:
Select Operator
expressions: _col1 (type: int), _col0 (type: int), _col2 (type: decimal(17,2))
outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2]
Statistics: Num rows: 31675133 Data size: 2454207210 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
@@ -281,6 +485,10 @@ STAGE PLANS:
keys:
0 _col1 (type: int)
1 _col0 (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinInnerBigOnlyLongOperator
+ native: true
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
outputColumnNames: _col0, _col1, _col2
input vertices:
1 Map 8
@@ -289,9 +497,18 @@ STAGE PLANS:
key expressions: _col0 (type: int)
sort order: +
Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
Statistics: Num rows: 34842647 Data size: 2699627989 Basic stats: COMPLETE Column stats: NONE
value expressions: _col1 (type: int), _col2 (type: decimal(17,2))
Reducer 4
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -308,6 +525,11 @@ STAGE PLANS:
Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
value expressions: _col2 (type: decimal(17,2)), _col6 (type: string)
Reducer 5
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ notVectorizedReason: Tagging not supported
+ vectorized: false
Reduce Operator Tree:
Join Operator
condition map:
@@ -331,16 +553,32 @@ STAGE PLANS:
TopN Hash Memory Usage: 0.1
Reducer 6
Execution mode: vectorized
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Reduce Operator Tree:
Select Operator
expressions: KEY.reducesinkkey0 (type: string)
outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
Statistics: Num rows: 32266667 Data size: 27749985689 Basic stats: COMPLETE Column stats: NONE
Limit
Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
Statistics: Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
table:
input format: org.apache.hadoop.mapred.SequenceFileInputFormat