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Posted to commits@hive.apache.org by xu...@apache.org on 2017/11/30 03:17:29 UTC
[01/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Repository: hive
Updated Branches:
refs/heads/branch-2 10f5554e9 -> 029e48b77
refs/heads/master 4ccea29bd -> b8aa16ff6
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_part.q.out
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diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_part.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_part.q.out
new file mode 100644
index 0000000..4467b5a
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_part.q.out
@@ -0,0 +1,72 @@
+PREHOOK: query: CREATE TABLE alltypesparquet_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS PARQUET
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@alltypesparquet_part
+POSTHOOK: query: CREATE TABLE alltypesparquet_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS PARQUET
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@alltypesparquet_part
+PREHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2011') select * from alltypesparquet limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part@ds=2011
+POSTHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2011') select * from alltypesparquet limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part@ds=2011
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2012') select * from alltypesparquet limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part@ds=2012
+POSTHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2012') select * from alltypesparquet limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part@ds=2012
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: select count(cdouble), cint from alltypesparquet_part where ds='2011' group by cint limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet_part
+PREHOOK: Input: default@alltypesparquet_part@ds=2011
+#### A masked pattern was here ####
+POSTHOOK: query: select count(cdouble), cint from alltypesparquet_part where ds='2011' group by cint limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet_part
+POSTHOOK: Input: default@alltypesparquet_part@ds=2011
+#### A masked pattern was here ####
+100 528534767
+PREHOOK: query: select count(*) from alltypesparquet_part A join alltypesparquet_part B on A.ds=B.ds
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet_part
+PREHOOK: Input: default@alltypesparquet_part@ds=2011
+PREHOOK: Input: default@alltypesparquet_part@ds=2012
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from alltypesparquet_part A join alltypesparquet_part B on A.ds=B.ds
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet_part
+POSTHOOK: Input: default@alltypesparquet_part@ds=2011
+POSTHOOK: Input: default@alltypesparquet_part@ds=2012
+#### A masked pattern was here ####
+20000
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_part_project.q.out
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diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_part_project.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_part_project.q.out
new file mode 100644
index 0000000..944101f
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_part_project.q.out
@@ -0,0 +1,143 @@
+PREHOOK: query: CREATE TABLE alltypesparquet_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS PARQUET
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@alltypesparquet_part
+POSTHOOK: query: CREATE TABLE alltypesparquet_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS PARQUET
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@alltypesparquet_part
+PREHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2011') select * from alltypesparquet order by ctinyint, cint, cbigint limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part@ds=2011
+POSTHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2011') select * from alltypesparquet order by ctinyint, cint, cbigint limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part@ds=2011
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2012') select * from alltypesparquet order by ctinyint, cint, cbigint limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part@ds=2012
+POSTHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2012') select * from alltypesparquet order by ctinyint, cint, cbigint limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part@ds=2012
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: explain vectorization select (cdouble+2) c1 from alltypesparquet_part order by c1 limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization select (cdouble+2) c1 from alltypesparquet_part order by c1 limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet_part
+ Statistics: Num rows: 200 Data size: 2400 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: (cdouble + 2.0) (type: double)
+ outputColumnNames: _col0
+ Statistics: Num rows: 200 Data size: 2400 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Statistics: Num rows: 200 Data size: 2400 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: true
+ 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:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: double)
+ outputColumnNames: _col0
+ Statistics: Num rows: 200 Data size: 2400 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Statistics: Num rows: 10 Data size: 120 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 10 Data size: 120 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 10
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select (cdouble+2) c1 from alltypesparquet_part order by c1 limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet_part
+PREHOOK: Input: default@alltypesparquet_part@ds=2011
+PREHOOK: Input: default@alltypesparquet_part@ds=2012
+#### A masked pattern was here ####
+POSTHOOK: query: select (cdouble+2) c1 from alltypesparquet_part order by c1 limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet_part
+POSTHOOK: Input: default@alltypesparquet_part@ds=2011
+POSTHOOK: Input: default@alltypesparquet_part@ds=2012
+#### A masked pattern was here ####
+NULL
+NULL
+-15863.0
+-15863.0
+-14988.0
+-14988.0
+-14646.0
+-14646.0
+-14236.0
+-14236.0
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_part_varchar.q.out
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diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_part_varchar.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_part_varchar.q.out
new file mode 100644
index 0000000..1208217
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_part_varchar.q.out
@@ -0,0 +1,72 @@
+PREHOOK: query: CREATE TABLE alltypesparquet_part_varchar(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds varchar(4)) STORED AS PARQUET
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@alltypesparquet_part_varchar
+POSTHOOK: query: CREATE TABLE alltypesparquet_part_varchar(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds varchar(4)) STORED AS PARQUET
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@alltypesparquet_part_varchar
+PREHOOK: query: insert overwrite table alltypesparquet_part_varchar partition (ds='2011') select * from alltypesparquet limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part_varchar@ds=2011
+POSTHOOK: query: insert overwrite table alltypesparquet_part_varchar partition (ds='2011') select * from alltypesparquet limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part_varchar@ds=2011
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: insert overwrite table alltypesparquet_part_varchar partition (ds='2012') select * from alltypesparquet limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part_varchar@ds=2012
+POSTHOOK: query: insert overwrite table alltypesparquet_part_varchar partition (ds='2012') select * from alltypesparquet limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part_varchar@ds=2012
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: select count(cdouble), cint from alltypesparquet_part_varchar where ds='2011' group by cint limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet_part_varchar
+PREHOOK: Input: default@alltypesparquet_part_varchar@ds=2011
+#### A masked pattern was here ####
+POSTHOOK: query: select count(cdouble), cint from alltypesparquet_part_varchar where ds='2011' group by cint limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet_part_varchar
+POSTHOOK: Input: default@alltypesparquet_part_varchar@ds=2011
+#### A masked pattern was here ####
+100 528534767
+PREHOOK: query: select count(*) from alltypesparquet_part_varchar A join alltypesparquet_part_varchar B on A.ds=B.ds
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet_part_varchar
+PREHOOK: Input: default@alltypesparquet_part_varchar@ds=2011
+PREHOOK: Input: default@alltypesparquet_part_varchar@ds=2012
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from alltypesparquet_part_varchar A join alltypesparquet_part_varchar B on A.ds=B.ds
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet_part_varchar
+POSTHOOK: Input: default@alltypesparquet_part_varchar@ds=2011
+POSTHOOK: Input: default@alltypesparquet_part_varchar@ds=2012
+#### A masked pattern was here ####
+20000
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_pushdown.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_pushdown.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_pushdown.q.out
new file mode 100644
index 0000000..a95898f
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_pushdown.q.out
@@ -0,0 +1,90 @@
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: explain vectorization SELECT AVG(cbigint) FROM alltypesparquet WHERE cbigint < cdouble
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization SELECT AVG(cbigint) FROM alltypesparquet WHERE cbigint < cdouble
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ filterExpr: (UDFToDouble(cbigint) < cdouble) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (UDFToDouble(cbigint) < cdouble) (type: boolean)
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cbigint (type: bigint)
+ outputColumnNames: cbigint
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(cbigint)
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 80 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Statistics: Num rows: 1 Data size: 80 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:bigint>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ 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: avg(VALUE._col0)
+ mode: mergepartial
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 80 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 80 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT AVG(cbigint) FROM alltypesparquet WHERE cbigint < cdouble
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT AVG(cbigint) FROM alltypesparquet WHERE cbigint < cdouble
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1.4670720493864927E9
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/temp_table.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/temp_table.q.out b/ql/src/test/results/clientpositive/spark/temp_table.q.out
index c2ec3b4..8521002 100644
--- a/ql/src/test/results/clientpositive/spark/temp_table.q.out
+++ b/ql/src/test/results/clientpositive/spark/temp_table.q.out
@@ -374,6 +374,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
bar
bay
baz
[22/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_15.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_15.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_15.q.out
new file mode 100644
index 0000000..71ed777
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_15.q.out
@@ -0,0 +1,324 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cfloat,
+ cboolean1,
+ cdouble,
+ cstring1,
+ ctinyint,
+ cint,
+ ctimestamp1,
+ STDDEV_SAMP(cfloat),
+ (-26.28 - cint),
+ MIN(cdouble),
+ (cdouble * 79.553),
+ (33 % cfloat),
+ STDDEV_SAMP(ctinyint),
+ VAR_POP(ctinyint),
+ (-23 % cdouble),
+ (-(ctinyint)),
+ VAR_SAMP(cint),
+ (cint - cfloat),
+ (-23 % ctinyint),
+ (-((-26.28 - cint))),
+ STDDEV_POP(cint)
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%ss%')
+ OR (cstring1 LIKE '10%'))
+ OR ((cint >= -75)
+ AND ((ctinyint = csmallint)
+ AND (cdouble >= -3728))))
+GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cfloat,
+ cboolean1,
+ cdouble,
+ cstring1,
+ ctinyint,
+ cint,
+ ctimestamp1,
+ STDDEV_SAMP(cfloat),
+ (-26.28 - cint),
+ MIN(cdouble),
+ (cdouble * 79.553),
+ (33 % cfloat),
+ STDDEV_SAMP(ctinyint),
+ VAR_POP(ctinyint),
+ (-23 % cdouble),
+ (-(ctinyint)),
+ VAR_SAMP(cint),
+ (cint - cfloat),
+ (-23 % ctinyint),
+ (-((-26.28 - cint))),
+ STDDEV_POP(cint)
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%ss%')
+ OR (cstring1 LIKE '10%'))
+ OR ((cint >= -75)
+ AND ((ctinyint = csmallint)
+ AND (cdouble >= -3728))))
+GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterStringColLikeStringScalar(col 7:string, pattern %ss%), FilterStringColLikeStringScalar(col 6:string, pattern 10%), FilterExprAndExpr(children: FilterLongColGreaterEqualLongScalar(col 2:int, val -75), FilterLongColEqualLongColumn(col 0:smallint, col 1:smallint)(children: col 0:tinyint), FilterDoubleColGreaterEqualDoubleScalar(col 5:double, val -3728.0)))
+ predicate: (((cint >= -75) and (UDFToShort(ctinyint) = csmallint) and (cdouble >= -3728.0)) or (cstring1 like '10%') or (cstring2 like '%ss%')) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cint (type: int), cfloat (type: float), cdouble (type: double), cstring1 (type: string), ctimestamp1 (type: timestamp), cboolean1 (type: boolean)
+ outputColumnNames: ctinyint, cint, cfloat, cdouble, cstring1, ctimestamp1, cboolean1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4, 5, 6, 8, 10]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: stddev_samp(cfloat), min(cdouble), stddev_samp(ctinyint), var_pop(ctinyint), var_samp(cint), stddev_pop(cint)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFMinDouble(col 5:double) -> double, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFVarLong(col 2:int) -> struct<count:bigint,sum:double,variance:double> aggregation: var_samp, VectorUDAFVarLong(col 2:int) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 4:float, col 10:boolean, col 5:double, col 6:string, col 0:tinyint, col 2:int, col 8:timestamp
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: cfloat (type: float), cboolean1 (type: boolean), cdouble (type: double), cstring1 (type: string), ctinyint (type: tinyint), cint (type: int), ctimestamp1 (type: timestamp)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp)
+ sort order: +++++++
+ Map-reduce partition columns: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col7 (type: struct<count:bigint,sum:double,variance:double>), _col8 (type: double), _col9 (type: struct<count:bigint,sum:double,variance:double>), _col10 (type: struct<count:bigint,sum:double,variance:double>), _col11 (type: struct<count:bigint,sum:double,variance:double>), _col12 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 4, 5, 6, 7, 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsNotMet: hive.vectorized.execution.reduce.enabled IS false, hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: stddev_samp(VALUE._col0), min(VALUE._col1), stddev_samp(VALUE._col2), var_pop(VALUE._col3), var_samp(VALUE._col4), stddev_pop(VALUE._col5)
+ keys: KEY._col0 (type: float), KEY._col1 (type: boolean), KEY._col2 (type: double), KEY._col3 (type: string), KEY._col4 (type: tinyint), KEY._col5 (type: int), KEY._col6 (type: timestamp)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp), _col7 (type: double), (-26.28 - CAST( _col5 AS decimal(10,0))) (type: decimal(13,2)), _col8 (type: double), (_col2 * 79.553) (type: double), (33.0 % _col0) (type: float), _col9 (type: double), _col10 (type: double), (-23.0 % _col2) (type: double), (- _col4) (type: tinyint), _col11 (type: double), (UDFToFloat(_col5) - _col0) (type: float), (-23 % UDFToInteger(_col4)) (type: int), (- (-26.28 - CAST( _col5 AS decimal(10,0)))) (type: decimal(13,2)), _col12 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:float, 1:_col1:boolean, 2:_col2:double, 3:_col3:string, 4:_col4:tinyint, 5:_col5:int, 6:_col6:timestamp, 7:_col7:double, 8:_col8:decimal(13,2), 9:_col9:double, 10:_col10:double, 11:_col11:float, 12:_col12:double, 13:_col13:double, 14:_col14:double, 15:_col15:tinyint, 16:_col16:double, 17:_col17:float, 18:_col18:int, 19:_col19:decimal(13,2), 20:_col20:double]
+ Reduce Output Operator
+ key expressions: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp)
+ sort order: +++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col7 (type: double), _col8 (type: decimal(13,2)), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: tinyint), _col16 (type: double), _col17 (type: float), _col18 (type: int), _col19 (type: decimal(13,2)), _col20 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 21
+ includeColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
+ dataColumns: _col0:float, _col1:boolean, _col2:double, _col3:string, _col4:tinyint, _col5:int, _col6:timestamp, _col7:double, _col8:decimal(13,2), _col9:double, _col10:double, _col11:float, _col12:double, _col13:double, _col14:double, _col15:tinyint, _col16:double, _col17:float, _col18:int, _col19:decimal(13,2), _col20:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsNotMet: hive.vectorized.execution.reduce.enabled IS false, hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: float), KEY.reducesinkkey1 (type: boolean), KEY.reducesinkkey2 (type: double), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: tinyint), KEY.reducesinkkey5 (type: int), KEY.reducesinkkey6 (type: timestamp), VALUE._col0 (type: double), VALUE._col1 (type: decimal(13,2)), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: float), VALUE._col5 (type: double), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: tinyint), VALUE._col9 (type: double), VALUE._col10 (type: float), VALUE._col11 (type: int), VALUE._col12 (type: decimal(13,2)), VALUE._col13 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 6144 Data size: 73728 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cfloat,
+ cboolean1,
+ cdouble,
+ cstring1,
+ ctinyint,
+ cint,
+ ctimestamp1,
+ STDDEV_SAMP(cfloat),
+ (-26.28 - cint),
+ MIN(cdouble),
+ (cdouble * 79.553),
+ (33 % cfloat),
+ STDDEV_SAMP(ctinyint),
+ VAR_POP(ctinyint),
+ (-23 % cdouble),
+ (-(ctinyint)),
+ VAR_SAMP(cint),
+ (cint - cfloat),
+ (-23 % ctinyint),
+ (-((-26.28 - cint))),
+ STDDEV_POP(cint)
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%ss%')
+ OR (cstring1 LIKE '10%'))
+ OR ((cint >= -75)
+ AND ((ctinyint = csmallint)
+ AND (cdouble >= -3728))))
+GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cfloat,
+ cboolean1,
+ cdouble,
+ cstring1,
+ ctinyint,
+ cint,
+ ctimestamp1,
+ STDDEV_SAMP(cfloat),
+ (-26.28 - cint),
+ MIN(cdouble),
+ (cdouble * 79.553),
+ (33 % cfloat),
+ STDDEV_SAMP(ctinyint),
+ VAR_POP(ctinyint),
+ (-23 % cdouble),
+ (-(ctinyint)),
+ VAR_SAMP(cint),
+ (cint - cfloat),
+ (-23 % ctinyint),
+ (-((-26.28 - cint))),
+ STDDEV_POP(cint)
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%ss%')
+ OR (cstring1 LIKE '10%'))
+ OR ((cint >= -75)
+ AND ((ctinyint = csmallint)
+ AND (cdouble >= -3728))))
+GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-48.0 NULL -7196.0 NULL -48 NULL 1969-12-31 16:00:06.337 NULL NULL -7196.0 -572463.388 33.0 NULL 0.0 -23.0 48 NULL NULL -23 NULL NULL
+-51.0 NULL -200.0 NULL -51 NULL 1969-12-31 15:59:55.423 NULL NULL -200.0 -15910.599999999999 33.0 NULL 0.0 -23.0 51 NULL NULL -23 NULL NULL
+-51.0 false NULL 10 -51 1058319346 1969-12-31 16:00:08.451 NULL -1058319372.28 NULL NULL 33.0 NULL 0.0 NULL 51 NULL 1.05831942E9 -23 1058319372.28 0.0
+-51.0 false NULL 10TYIE5S35U6dj3N -51 -469581869 1969-12-31 16:00:08.451 NULL 469581842.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -4.69581792E8 -23 -469581842.72 0.0
+-51.0 false NULL 1Lh6Uoq3WhNtOqQHu7WN7U -51 -352637533 1969-12-31 16:00:08.451 NULL 352637506.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -3.52637472E8 -23 -352637506.72 0.0
+-51.0 true NULL 04Y1mA17 -51 -114647521 1969-12-31 16:00:08.451 NULL 114647494.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -1.14647472E8 -23 -114647494.72 0.0
+-51.0 true NULL 10Wu570aLPO0p02P17FeH -51 405338893 1969-12-31 16:00:08.451 NULL -405338919.28 NULL NULL 33.0 NULL 0.0 NULL 51 NULL 4.05338944E8 -23 405338919.28 0.0
+-51.0 true NULL 3cQp060 -51 -226923315 1969-12-31 16:00:08.451 NULL 226923288.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -2.26923264E8 -23 -226923288.72 0.0
+-51.0 true NULL 8EPG0Xi307qd -51 -328662044 1969-12-31 16:00:08.451 NULL 328662017.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -3.28661984E8 -23 -328662017.72 0.0
+-51.0 true NULL 8iHtdkJ6d -51 1006818344 1969-12-31 16:00:08.451 NULL -1006818370.28 NULL NULL 33.0 NULL 0.0 NULL 51 NULL 1.00681843E9 -23 1006818370.28 0.0
+-51.0 true NULL QiOcvR0kt6r7f0R7fiPxQTCU -51 266531954 1969-12-31 16:00:08.451 NULL -266531980.28 NULL NULL 33.0 NULL 0.0 NULL 51 NULL 2.66532E8 -23 266531980.28 0.0
+-51.0 true NULL Ybpj38RTTYl7CnJXPNx1g4C -51 -370919370 1969-12-31 16:00:08.451 NULL 370919343.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -3.70919296E8 -23 -370919343.72 0.0
+-6.0 NULL -200.0 NULL -6 NULL 1969-12-31 15:59:56.094 NULL NULL -200.0 -15910.599999999999 3.0 NULL 0.0 -23.0 6 NULL NULL -5 NULL NULL
+-62.0 NULL 15601.0 NULL -62 NULL 1969-12-31 15:59:56.527 NULL NULL 15601.0 1241106.353 33.0 NULL 0.0 -23.0 62 NULL NULL -23 NULL NULL
+11.0 false NULL 10pO8p1LNx4Y 11 271296824 1969-12-31 16:00:02.351 NULL -271296850.28 NULL NULL 0.0 NULL 0.0 NULL -11 NULL 2.71296832E8 -1 271296850.28 0.0
+11.0 false NULL 1H6wGP 11 -560827082 1969-12-31 16:00:02.351 NULL 560827055.72 NULL NULL 0.0 NULL 0.0 NULL -11 NULL -5.6082707E8 -1 -560827055.72 0.0
+11.0 false NULL 2a7V63IL7jK3o 11 -325931647 1969-12-31 16:00:02.351 NULL 325931620.72 NULL NULL 0.0 NULL 0.0 NULL -11 NULL -3.25931648E8 -1 -325931620.72 0.0
+11.0 true NULL 10 11 92365813 1969-12-31 16:00:02.351 NULL -92365839.28 NULL NULL 0.0 NULL 0.0 NULL -11 NULL 9.2365808E7 -1 92365839.28 0.0
+21.0 NULL 15601.0 NULL 21 NULL 1969-12-31 15:59:56.527 NULL NULL 15601.0 1241106.353 12.0 NULL 0.0 -23.0 -21 NULL NULL -2 NULL NULL
+32.0 NULL -200.0 NULL 32 NULL 1969-12-31 16:00:02.445 NULL NULL -200.0 -15910.599999999999 1.0 NULL 0.0 -23.0 -32 NULL NULL -23 NULL NULL
+36.0 NULL -200.0 NULL 36 NULL 1969-12-31 16:00:00.554 NULL NULL -200.0 -15910.599999999999 33.0 NULL 0.0 -23.0 -36 NULL NULL -23 NULL NULL
+5.0 NULL 15601.0 NULL 5 NULL 1969-12-31 15:59:56.527 NULL NULL 15601.0 1241106.353 3.0 NULL 0.0 -23.0 -5 NULL NULL -3 NULL NULL
+58.0 NULL 15601.0 NULL 58 NULL 1969-12-31 15:59:56.527 NULL NULL 15601.0 1241106.353 33.0 NULL 0.0 -23.0 -58 NULL NULL -23 NULL NULL
+8.0 false NULL 10V3pN5r5lI2qWl2lG103 8 -362835731 1969-12-31 16:00:15.892 NULL 362835704.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -3.62835744E8 -7 -362835704.72 0.0
+8.0 false NULL 10c4qt584m5y6uWT 8 -183000142 1969-12-31 16:00:15.892 NULL 183000115.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -1.8300016E8 -7 -183000115.72 0.0
+8.0 false NULL 8GloEukQ0c68JDmnYL53 8 -722873402 1969-12-31 16:00:15.892 NULL 722873375.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -7.2287341E8 -7 -722873375.72 0.0
+8.0 false NULL kA0XH5C5 8 -503903864 1969-12-31 16:00:15.892 NULL 503903837.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -5.03903872E8 -7 -503903837.72 0.0
+8.0 true NULL 100VTM7PEW8GH1uE 8 88129338 1969-12-31 16:00:15.892 NULL -88129364.28 NULL NULL 1.0 NULL 0.0 NULL -8 NULL 8.8129328E7 -7 88129364.28 0.0
+8.0 true NULL 1062158y 8 -1005155523 1969-12-31 16:00:15.892 NULL 1005155496.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -1.00515552E9 -7 -1005155496.72 0.0
+8.0 true NULL 1063cEnGjSal 8 -624769630 1969-12-31 16:00:15.892 NULL 624769603.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -6.247696E8 -7 -624769603.72 0.0
+8.0 true NULL 4kMasVoB7lX1wc5i64bNk 8 683567667 1969-12-31 16:00:15.892 NULL -683567693.28 NULL NULL 1.0 NULL 0.0 NULL -8 NULL 6.8356768E8 -7 683567693.28 0.0
+8.0 true NULL XH6I7A417 8 436627202 1969-12-31 16:00:15.892 NULL -436627228.28 NULL NULL 1.0 NULL 0.0 NULL -8 NULL 4.366272E8 -7 436627228.28 0.0
+NULL false -13008.0 10 NULL -896629175 NULL NULL 896629148.72 -13008.0 -1034825.424 NULL NULL NULL -23.0 NULL NULL NULL NULL -896629148.72 0.0
+NULL false -7707.0 10vke853 NULL 424959354 NULL NULL -424959380.28 -7707.0 -613114.971 NULL NULL NULL -23.0 NULL NULL NULL NULL 424959380.28 0.0
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+NULL false 2459.0 10 NULL -394064473 NULL NULL 394064446.72 2459.0 195620.827 NULL NULL NULL -23.0 NULL NULL NULL NULL -394064446.72 0.0
+NULL true -14640.0 101n6n461o NULL -819657767 NULL NULL 819657740.72 -14640.0 -1164655.92 NULL NULL NULL -23.0 NULL NULL NULL NULL -819657740.72 0.0
+NULL true -14674.0 105aFDAt30c4rI4U NULL -831072496 NULL NULL 831072469.72 -14674.0 -1167360.722 NULL NULL NULL -23.0 NULL NULL NULL NULL -831072469.72 0.0
+NULL true -7238.0 10ljXCFT6fG6Qi3S7414e NULL -256767096 NULL NULL 256767069.72 -7238.0 -575804.614 NULL NULL NULL -23.0 NULL NULL NULL NULL -256767069.72 0.0
+NULL true -9489.0 10Yr6 NULL 500274721 NULL NULL -500274747.28 -9489.0 -754878.417 NULL NULL NULL -23.0 NULL NULL NULL NULL 500274747.28 0.0
+NULL true 10419.0 10 NULL -721614386 NULL NULL 721614359.72 10419.0 828862.7069999999 NULL NULL NULL -23.0 NULL NULL NULL NULL -721614359.72 0.0
+NULL true 14519.0 100xJdkyc NULL 729277608 NULL NULL -729277634.28 14519.0 1155030.007 NULL NULL NULL -23.0 NULL NULL NULL NULL 729277634.28 0.0
+NULL true 2261.0 10Hr5oB07Ohu0622u NULL 612000160 NULL NULL -612000186.28 2261.0 179869.33299999998 NULL NULL NULL -23.0 NULL NULL NULL NULL 612000186.28 0.0
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http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_16.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_16.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_16.q.out
new file mode 100644
index 0000000..1174aa7
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_16.q.out
@@ -0,0 +1,707 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColLikeStringScalar(col 7:string, pattern %b%), FilterExprOrExpr(children: FilterDoubleColGreaterEqualDoubleScalar(col 5:double, val -1.389), FilterStringGroupColLessStringScalar(col 6:string, val a)))
+ predicate: (((cdouble >= -1.389) or (cstring1 < 'a')) and (cstring2 like '%b%')) (type: boolean)
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cdouble (type: double), cstring1 (type: string), ctimestamp1 (type: timestamp)
+ outputColumnNames: cdouble, cstring1, ctimestamp1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 6, 8]
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(cdouble), stddev_samp(cdouble), min(cdouble)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 5:double) -> bigint, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFMinDouble(col 5:double) -> double
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:double, col 6:string, col 8:timestamp
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
+ keys: cdouble (type: double), cstring1 (type: string), ctimestamp1 (type: timestamp)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double), _col1 (type: string), _col2 (type: timestamp)
+ sort order: +++
+ Map-reduce partition columns: _col0 (type: double), _col1 (type: string), _col2 (type: timestamp)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col3 (type: bigint), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [5, 6, 7, 8]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0), stddev_samp(VALUE._col1), min(VALUE._col2)
+ keys: KEY._col0 (type: double), KEY._col1 (type: string), KEY._col2 (type: timestamp)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 2048 Data size: 24576 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: string), _col0 (type: double), _col2 (type: timestamp), (_col0 - 9763215.5639) (type: double), (- (_col0 - 9763215.5639)) (type: double), _col3 (type: bigint), _col4 (type: double), (- _col4) (type: double), (_col4 * UDFToDouble(_col3)) (type: double), _col5 (type: double), (9763215.5639 / _col0) (type: double), (CAST( _col3 AS decimal(19,0)) / -1.389) (type: decimal(28,6)), _col4 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Statistics: Num rows: 2048 Data size: 24576 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 2048 Data size: 24576 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
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+N8222wByj NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+NABd3KhjjaVfcj2Q7SJ46 NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+NULL 15601.0 1969-12-31 15:59:43.919 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.07 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.179 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.394 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.477 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.568 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.571 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.708 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.782 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:45.816 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:46.114 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:46.82 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:46.953 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.134 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.406 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.511 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.616 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.975 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.052 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.299 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.429 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.552 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.679 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.943 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:49.331 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:49.896 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:50.345 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:50.66 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.104 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.265 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.413 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.596 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.637 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.076 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.311 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.326 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.357 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.587 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.038 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.583 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.584 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.635 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.024 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.116 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.334 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.342 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.454 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.583 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.994 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.411 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.847 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.989 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.998 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.068 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.338 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.806 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.858 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.913 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.97 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.215 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.261 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.28 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.386 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.524 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.678 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.729 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.932 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.134 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.279 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.343 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.752 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.025 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.054 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.108 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.122 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.123 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.182 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.206 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.326 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.396 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.476 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.523 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.545 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.547 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.648 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.699 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.708 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.741 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.88 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.931 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.953 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.057 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.153 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.714 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.12 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.215 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.285 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.6 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.742 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.894 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.92 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.925 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.174 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.273 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.351 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.366 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.512 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.722 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.063 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.149 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.254 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.259 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.52 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.687 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.745 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.964 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.027 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.132 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.327 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.334 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.617 -9747614.5639 9747614.5639 2 0.0 -0.0 0.0 15601.0 625.8070356964297 -1.439885 0.0
+NULL 15601.0 1969-12-31 16:00:05.83 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:06.051 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:06.692 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:07.844 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.176 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.252 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.368 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.607 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.868 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.948 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.357 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.473 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.582 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.697 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.045 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.132 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.173 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.259 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.649 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.738 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.898 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.957 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.983 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.205 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.498 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.848 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.853 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.948 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.029 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.183 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.503 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.801 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.955 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.452 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.565 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.733 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.747 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.903 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:15.39 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:15.805 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:16.076 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:16.279 -9747614.5639 9747614.5639 2 0.0 -0.0 0.0 15601.0 625.8070356964297 -1.439885 0.0
+Nmt6E360X6dpX58CR2 NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+O2U2c43Dx4QtYQ3ynA1CLGI3 NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+O65HL NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+OLq35YO3U NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+OSBq0b NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+OSc0r NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+OgARV6n1iMYIW1VUm1ybG NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+Or43Y6lI NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+OxfCar17 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+P4shXtBlvn NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+PADsH06 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+PLFB86o84end3tdsS2hVL NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+PWAPwbw NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+Pcj70ddpJ0iD NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+PnD8l5 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+Q31pMN30tPv010W0U2h1s124 NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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+QRQRpg NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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[11/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_13.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_13.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_13.q.out
new file mode 100644
index 0000000..292b644
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_13.q.out
@@ -0,0 +1,679 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > 11)
+ AND ((ctimestamp2 != 12)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > 11)
+ AND ((ctimestamp2 != 12)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 2)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterDoubleColLessDoubleScalar(col 4:float, val 3569.0), FilterDoubleScalarGreaterEqualDoubleColumn(val 10.175, col 5:double), FilterLongColNotEqualLongScalar(col 10:boolean, val 1)), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 13:double, val 11.0)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterDoubleColNotEqualDoubleScalar(col 13:double, val 12.0)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterDecimalColLessDecimalScalar(col 14:decimal(11,4), val 9763215.5639)(children: CastLongToDecimal(col 0:tinyint) -> 14:decimal(11,4))))
+ predicate: (((UDFToDouble(ctimestamp1) > 11.0) and (UDFToDouble(ctimestamp2) <> 12.0) and (CAST( ctinyint AS decimal(11,4)) < 9763215.5639)) or ((cfloat < 3569) and (10.175 >= cdouble) and (cboolean1 <> 1))) (type: boolean)
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cfloat (type: float), cstring1 (type: string), ctimestamp1 (type: timestamp), cboolean1 (type: boolean)
+ outputColumnNames: ctinyint, cfloat, cstring1, ctimestamp1, cboolean1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 6, 8, 10]
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: max(ctinyint), sum(cfloat), stddev_pop(cfloat), stddev_pop(ctinyint), max(cfloat), min(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxLong(col 0:tinyint) -> tinyint, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFMaxDouble(col 4:float) -> float, VectorUDAFMinLong(col 0:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 10:boolean, col 0:tinyint, col 8:timestamp, col 4:float, col 6:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: cboolean1 (type: boolean), ctinyint (type: tinyint), ctimestamp1 (type: timestamp), cfloat (type: float), cstring1 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string)
+ sort order: +++++
+ Map-reduce partition columns: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ keyColumnNums: [0, 1, 2, 3, 4]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [5, 6, 7, 8, 9, 10]
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col5 (type: tinyint), _col6 (type: double), _col7 (type: struct<count:bigint,sum:double,variance:double>), _col8 (type: struct<count:bigint,sum:double,variance:double>), _col9 (type: float), _col10 (type: tinyint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 4, 5, 6, 8, 9, 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: [double, decimal(11,4)]
+ 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
+ reduceColumnNullOrder: aaaaa
+ reduceColumnSortOrder: +++++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 11
+ dataColumns: KEY._col0:boolean, KEY._col1:tinyint, KEY._col2:timestamp, KEY._col3:float, KEY._col4:string, VALUE._col0:tinyint, VALUE._col1:double, VALUE._col2:struct<count:bigint,sum:double,variance:double>, VALUE._col3:struct<count:bigint,sum:double,variance:double>, VALUE._col4:float, VALUE._col5:tinyint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: max(VALUE._col0), sum(VALUE._col1), stddev_pop(VALUE._col2), stddev_pop(VALUE._col3), max(VALUE._col4), min(VALUE._col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxLong(col 5:tinyint) -> tinyint, VectorUDAFSumDouble(col 6:double) -> double, VectorUDAFVarFinal(col 7:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_pop, VectorUDAFVarFinal(col 8:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_pop, VectorUDAFMaxDouble(col 9:float) -> float, VectorUDAFMinLong(col 10:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:boolean, col 1:tinyint, col 2:timestamp, col 3:float, col 4:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: KEY._col0 (type: boolean), KEY._col1 (type: tinyint), KEY._col2 (type: timestamp), KEY._col3 (type: float), KEY._col4 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), (- _col1) (type: tinyint), _col5 (type: tinyint), ((- _col1) + _col5) (type: tinyint), _col6 (type: double), (_col6 * UDFToDouble(((- _col1) + _col5))) (type: double), (- _col6) (type: double), (79.553 * _col3) (type: float), _col7 (type: double), (- _col6) (type: double), _col8 (type: double), (CAST( ((- _col1) + _col5) AS decimal(3,0)) - 10.175) (type: decimal(7,3)), (- (- _col6)) (type: double), (-26.28 / (- (- _col6))) (type: double), _col9 (type: float), ((_col6 * UDFToDouble(((- _col1) + _col5))) / UDFToDouble(_col1)) (type: double), _col10 (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 11, 5, 13, 6, 16, 15, 17, 7, 18, 8, 20, 22, 21, 9, 25, 10]
+ selectExpressions: LongColUnaryMinus(col 1:tinyint) -> 11:tinyint, LongColAddLongColumn(col 12:tinyint, col 5:tinyint)(children: LongColUnaryMinus(col 1:tinyint) -> 12:tinyint) -> 13:tinyint, DoubleColMultiplyDoubleColumn(col 6:double, col 15:double)(children: CastLongToDouble(col 14:tinyint)(children: LongColAddLongColumn(col 12:tinyint, col 5:tinyint)(children: LongColUnaryMinus(col 1:tinyint) -> 12:tinyint) -> 14:tinyint) -> 15:double) -> 16:double, DoubleColUnaryMinus(col 6:double) -> 15:double, DoubleScalarMultiplyDoubleColumn(val 79.5530014038086, col 3:float) -> 17:float, DoubleColUnaryMinus(col 6:double) -> 18:double, DecimalColSubtractDecimalScalar(col 19:decimal(3,0), val 10.175)(children: CastLongToDecimal(col 14:tinyint)(children: LongColAddLongColumn(col 12:tinyint, col 5:tinyint)(children: LongColUnaryMinus(col 1:tinyint) -> 12:tinyint) -> 14:tinyint) -> 19:decimal(3,0)) -> 20:decimal(7,3), DoubleColUnaryMinus(col 21:double)(children: DoubleColUna
ryMinus(col 6:double) -> 21:double) -> 22:double, DoubleScalarDivideDoubleColumn(val -26.28, col 23:double)(children: DoubleColUnaryMinus(col 21:double)(children: DoubleColUnaryMinus(col 6:double) -> 21:double) -> 23:double) -> 21:double, DoubleColDivideDoubleColumn(col 24:double, col 23:double)(children: DoubleColMultiplyDoubleColumn(col 6:double, col 23:double)(children: CastLongToDouble(col 14:tinyint)(children: LongColAddLongColumn(col 12:tinyint, col 5:tinyint)(children: LongColUnaryMinus(col 1:tinyint) -> 12:tinyint) -> 14:tinyint) -> 23:double) -> 24:double, CastLongToDouble(col 1:tinyint) -> 23:double) -> 25:double
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), _col5 (type: tinyint), _col6 (type: tinyint), _col7 (type: tinyint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: decimal(7,3)), _col16 (type: double), _col17 (type: double), _col18 (type: float), _col19 (type: double), _col20 (type: tinyint)
+ sort order: +++++++++++++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0, 1, 2, 3, 4, 11, 5, 13, 6, 16, 15, 17, 7, 18, 8, 20, 22, 21, 9, 25, 10]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: []
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ 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
+ reduceColumnNullOrder: aaaaaaaaaaaaaaaaaaaaa
+ reduceColumnSortOrder: +++++++++++++++++++++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 21
+ dataColumns: KEY.reducesinkkey0:boolean, KEY.reducesinkkey1:tinyint, KEY.reducesinkkey2:timestamp, KEY.reducesinkkey3:float, KEY.reducesinkkey4:string, KEY.reducesinkkey5:tinyint, KEY.reducesinkkey6:tinyint, KEY.reducesinkkey7:tinyint, KEY.reducesinkkey8:double, KEY.reducesinkkey9:double, KEY.reducesinkkey10:double, KEY.reducesinkkey11:float, KEY.reducesinkkey12:double, KEY.reducesinkkey13:double, KEY.reducesinkkey14:double, KEY.reducesinkkey15:decimal(7,3), KEY.reducesinkkey16:double, KEY.reducesinkkey17:double, KEY.reducesinkkey18:float, KEY.reducesinkkey19:double, KEY.reducesinkkey20:tinyint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: tinyint), KEY.reducesinkkey2 (type: timestamp), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: tinyint), KEY.reducesinkkey6 (type: tinyint), KEY.reducesinkkey7 (type: tinyint), KEY.reducesinkkey8 (type: double), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey14 (type: double), KEY.reducesinkkey15 (type: decimal(7,3)), KEY.reducesinkkey16 (type: double), KEY.reducesinkkey17 (type: double), KEY.reducesinkkey18 (type: float), KEY.reducesinkkey19 (type: double), KEY.reducesinkkey20 (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 10, 14, 15, 16, 17, 18, 19, 20]
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 40
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 40 Data size: 480 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 40 Data size: 480 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 40
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > 11)
+ AND ((ctimestamp2 != 12)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > 11)
+ AND ((ctimestamp2 != 12)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+NULL -55 1969-12-31 16:00:11.38 -55.0 NULL 55 -55 0 -55.0 -0.0 55.0 -4375.415 0.0 55.0 0.0 -10.175 -55.0 0.47781818181818186 -55.0 0.0 -55
+NULL -55 1969-12-31 16:00:11.751 -55.0 NULL 55 -55 0 -55.0 -0.0 55.0 -4375.415 0.0 55.0 0.0 -10.175 -55.0 0.47781818181818186 -55.0 0.0 -55
+NULL -56 1969-12-31 16:00:13.602 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.9683 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
+NULL -56 1969-12-31 16:00:13.958 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.9683 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
+NULL -56 1969-12-31 16:00:15.038 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.9683 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
+NULL -57 1969-12-31 16:00:11.451 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
+NULL -57 1969-12-31 16:00:11.883 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
+NULL -57 1969-12-31 16:00:12.626 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
+NULL -57 1969-12-31 16:00:13.578 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
+NULL -57 1969-12-31 16:00:15.39 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
+NULL -58 1969-12-31 16:00:12.065 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
+NULL -58 1969-12-31 16:00:12.683 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
+NULL -58 1969-12-31 16:00:12.948 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
+NULL -58 1969-12-31 16:00:14.066 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
+NULL -58 1969-12-31 16:00:15.658 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
+NULL -59 1969-12-31 16:00:12.008 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:13.15 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:13.625 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:15.296 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:15.861 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -60 1969-12-31 16:00:11.504 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
+NULL -60 1969-12-31 16:00:11.641 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
+NULL -60 1969-12-31 16:00:11.996 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
+NULL -60 1969-12-31 16:00:12.779 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
+NULL -61 1969-12-31 16:00:11.842 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:12.454 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:14.192 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:16.558 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -62 1969-12-31 16:00:12.388 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:12.591 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.154 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.247 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.517 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.965 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -63 1969-12-31 16:00:11.946 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:12.188 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:15.436 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -64 1969-12-31 16:00:11.912 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:12.339 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:13.274 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > -1.388)
+ AND ((ctimestamp2 != -1.3359999999999999)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > -1.388)
+ AND ((ctimestamp2 != -1.3359999999999999)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 2)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterDoubleColLessDoubleScalar(col 4:float, val 3569.0), FilterDoubleScalarGreaterEqualDoubleColumn(val 10.175, col 5:double), FilterLongColNotEqualLongScalar(col 10:boolean, val 1)), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 13:double, val -1.388)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterDoubleColNotEqualDoubleScalar(col 13:double, val -1.3359999999999999)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterDecimalColLessDecimalScalar(col 14:decimal(11,4), val 9763215.5639)(children: CastLongToDecimal(col 0:tinyint) -> 14:decimal(11,4))))
+ predicate: (((UDFToDouble(ctimestamp1) > -1.388) and (UDFToDouble(ctimestamp2) <> -1.3359999999999999) and (CAST( ctinyint AS decimal(11,4)) < 9763215.5639)) or ((cfloat < 3569) and (10.175 >= cdouble) and (cboolean1 <> 1))) (type: boolean)
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cfloat (type: float), cstring1 (type: string), ctimestamp1 (type: timestamp), cboolean1 (type: boolean)
+ outputColumnNames: ctinyint, cfloat, cstring1, ctimestamp1, cboolean1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 6, 8, 10]
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: max(ctinyint), sum(cfloat), stddev_pop(cfloat), stddev_pop(ctinyint), max(cfloat), min(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxLong(col 0:tinyint) -> tinyint, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFMaxDouble(col 4:float) -> float, VectorUDAFMinLong(col 0:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 10:boolean, col 0:tinyint, col 8:timestamp, col 4:float, col 6:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: cboolean1 (type: boolean), ctinyint (type: tinyint), ctimestamp1 (type: timestamp), cfloat (type: float), cstring1 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string)
+ sort order: +++++
+ Map-reduce partition columns: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (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: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col5 (type: tinyint), _col6 (type: double), _col7 (type: struct<count:bigint,sum:double,variance:double>), _col8 (type: struct<count:bigint,sum:double,variance:double>), _col9 (type: float), _col10 (type: tinyint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ 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: max(VALUE._col0), sum(VALUE._col1), stddev_pop(VALUE._col2), stddev_pop(VALUE._col3), max(VALUE._col4), min(VALUE._col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxLong(col 5:tinyint) -> tinyint, VectorUDAFSumDouble(col 6:double) -> double, VectorUDAFVarFinal(col 7:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_pop, VectorUDAFVarFinal(col 8:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_pop, VectorUDAFMaxDouble(col 9:float) -> float, VectorUDAFMinLong(col 10:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:boolean, col 1:tinyint, col 2:timestamp, col 3:float, col 4:string
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: KEY._col0 (type: boolean), KEY._col1 (type: tinyint), KEY._col2 (type: timestamp), KEY._col3 (type: float), KEY._col4 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), (- _col1) (type: tinyint), _col5 (type: tinyint), ((- _col1) + _col5) (type: tinyint), _col6 (type: double), (_col6 * UDFToDouble(((- _col1) + _col5))) (type: double), (- _col6) (type: double), (79.553 * _col3) (type: float), _col7 (type: double), (- _col6) (type: double), _col8 (type: double), (CAST( ((- _col1) + _col5) AS decimal(3,0)) - 10.175) (type: decimal(7,3)), (- (- _col6)) (type: double), (-26.28 / (- (- _col6))) (type: double), _col9 (type: float), ((_col6 * UDFToDouble(((- _col1) + _col5))) / UDFToDouble(_col1)) (type: double), _col10 (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 11, 5, 13, 6, 16, 15, 17, 7, 18, 8, 20, 22, 21, 9, 25, 10]
+ selectExpressions: LongColUnaryMinus(col 1:tinyint) -> 11:tinyint, LongColAddLongColumn(col 12:tinyint, col 5:tinyint)(children: LongColUnaryMinus(col 1:tinyint) -> 12:tinyint) -> 13:tinyint, DoubleColMultiplyDoubleColumn(col 6:double, col 15:double)(children: CastLongToDouble(col 14:tinyint)(children: LongColAddLongColumn(col 12:tinyint, col 5:tinyint)(children: LongColUnaryMinus(col 1:tinyint) -> 12:tinyint) -> 14:tinyint) -> 15:double) -> 16:double, DoubleColUnaryMinus(col 6:double) -> 15:double, DoubleScalarMultiplyDoubleColumn(val 79.5530014038086, col 3:float) -> 17:float, DoubleColUnaryMinus(col 6:double) -> 18:double, DecimalColSubtractDecimalScalar(col 19:decimal(3,0), val 10.175)(children: CastLongToDecimal(col 14:tinyint)(children: LongColAddLongColumn(col 12:tinyint, col 5:tinyint)(children: LongColUnaryMinus(col 1:tinyint) -> 12:tinyint) -> 14:tinyint) -> 19:decimal(3,0)) -> 20:decimal(7,3), DoubleColUnaryMinus(col 21:double)(children: DoubleColUna
ryMinus(col 6:double) -> 21:double) -> 22:double, DoubleScalarDivideDoubleColumn(val -26.28, col 23:double)(children: DoubleColUnaryMinus(col 21:double)(children: DoubleColUnaryMinus(col 6:double) -> 21:double) -> 23:double) -> 21:double, DoubleColDivideDoubleColumn(col 24:double, col 23:double)(children: DoubleColMultiplyDoubleColumn(col 6:double, col 23:double)(children: CastLongToDouble(col 14:tinyint)(children: LongColAddLongColumn(col 12:tinyint, col 5:tinyint)(children: LongColUnaryMinus(col 1:tinyint) -> 12:tinyint) -> 14:tinyint) -> 23:double) -> 24:double, CastLongToDouble(col 1:tinyint) -> 23:double) -> 25:double
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), _col5 (type: tinyint), _col6 (type: tinyint), _col7 (type: tinyint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: decimal(7,3)), _col16 (type: double), _col17 (type: double), _col18 (type: float), _col19 (type: double), _col20 (type: tinyint)
+ 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: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ 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:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: tinyint), KEY.reducesinkkey2 (type: timestamp), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: tinyint), KEY.reducesinkkey6 (type: tinyint), KEY.reducesinkkey7 (type: tinyint), KEY.reducesinkkey8 (type: double), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey14 (type: double), KEY.reducesinkkey15 (type: decimal(7,3)), KEY.reducesinkkey16 (type: double), KEY.reducesinkkey17 (type: double), KEY.reducesinkkey18 (type: float), KEY.reducesinkkey19 (type: double), KEY.reducesinkkey20 (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 10, 14, 15, 16, 17, 18, 19, 20]
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 40
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 40 Data size: 480 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 40 Data size: 480 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 40
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > -1.388)
+ AND ((ctimestamp2 != -1.3359999999999999)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > -1.388)
+ AND ((ctimestamp2 != -1.3359999999999999)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+NULL -61 1969-12-31 16:00:00.142 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:02.698 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:03.049 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:04.165 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:04.977 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -62 1969-12-31 16:00:00.037 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:01.22 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:01.515 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:01.734 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:02.373 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:03.85 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:08.198 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:09.025 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:09.889 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:10.069 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:10.225 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:10.485 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:12.388 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:12.591 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.154 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.247 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.517 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.965 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -63 1969-12-31 16:00:01.843 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:03.552 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:06.852 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:07.375 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:10.205 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:11.946 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:12.188 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:15.436 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -64 1969-12-31 16:00:00.199 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:00.29 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:01.785 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:03.944 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:05.997 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:10.858 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:11.912 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:12.339 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:13.274 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
[08/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_16.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_16.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_16.q.out
new file mode 100644
index 0000000..336aa65
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_16.q.out
@@ -0,0 +1,740 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 2)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColLikeStringScalar(col 7:string, pattern %b%), FilterExprOrExpr(children: FilterDoubleColGreaterEqualDoubleScalar(col 5:double, val -1.389), FilterStringGroupColLessStringScalar(col 6:string, val a)))
+ predicate: (((cdouble >= -1.389) or (cstring1 < 'a')) and (cstring2 like '%b%')) (type: boolean)
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cdouble (type: double), cstring1 (type: string), ctimestamp1 (type: timestamp)
+ outputColumnNames: cdouble, cstring1, ctimestamp1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 6, 8]
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(cdouble), stddev_samp(cdouble), min(cdouble)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 5:double) -> bigint, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFMinDouble(col 5:double) -> double
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:double, col 6:string, col 8:timestamp
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
+ keys: cdouble (type: double), cstring1 (type: string), ctimestamp1 (type: timestamp)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double), _col1 (type: string), _col2 (type: timestamp)
+ sort order: +++
+ Map-reduce partition columns: _col0 (type: double), _col1 (type: string), _col2 (type: timestamp)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ keyColumnNums: [0, 1, 2]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [3, 4, 5]
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col3 (type: bigint), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [5, 6, 7, 8]
+ 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: []
+ 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
+ reduceColumnNullOrder: aaa
+ reduceColumnSortOrder: +++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 6
+ dataColumns: KEY._col0:double, KEY._col1:string, KEY._col2:timestamp, VALUE._col0:bigint, VALUE._col1:struct<count:bigint,sum:double,variance:double>, VALUE._col2:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0), stddev_samp(VALUE._col1), min(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint, VectorUDAFVarFinal(col 4:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_samp, VectorUDAFMinDouble(col 5:double) -> double
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:double, col 1:string, col 2:timestamp
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
+ keys: KEY._col0 (type: double), KEY._col1 (type: string), KEY._col2 (type: timestamp)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 2048 Data size: 24576 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: string), _col0 (type: double), _col2 (type: timestamp), (_col0 - 9763215.5639) (type: double), (- (_col0 - 9763215.5639)) (type: double), _col3 (type: bigint), _col4 (type: double), (- _col4) (type: double), (_col4 * UDFToDouble(_col3)) (type: double), _col5 (type: double), (9763215.5639 / _col0) (type: double), (CAST( _col3 AS decimal(19,0)) / -1.389) (type: decimal(28,6)), _col4 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2, 6, 8, 3, 4, 7, 10, 5, 9, 12, 4]
+ selectExpressions: DoubleColSubtractDoubleScalar(col 0:double, val 9763215.5639) -> 6:double, DoubleColUnaryMinus(col 7:double)(children: DoubleColSubtractDoubleScalar(col 0:double, val 9763215.5639) -> 7:double) -> 8:double, DoubleColUnaryMinus(col 4:double) -> 7:double, DoubleColMultiplyDoubleColumn(col 4:double, col 9:double)(children: CastLongToDouble(col 3:bigint) -> 9:double) -> 10:double, DoubleScalarDivideDoubleColumn(val 9763215.5639, col 0:double) -> 9:double, DecimalColDivideDecimalScalar(col 11:decimal(19,0), val -1.389)(children: CastLongToDecimal(col 3:bigint) -> 11:decimal(19,0)) -> 12:decimal(28,6)
+ Statistics: Num rows: 2048 Data size: 24576 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 2048 Data size: 24576 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
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+NULL 15601.0 1969-12-31 15:59:44.708 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.782 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:45.816 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:46.114 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:46.82 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:46.953 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.134 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.406 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.511 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.616 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.975 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.052 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.299 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.429 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.552 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.679 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.943 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:49.331 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:49.896 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:50.345 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:50.66 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.104 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.265 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.413 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.596 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.637 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.076 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.311 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.326 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.357 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.587 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.038 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.583 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.584 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.635 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.024 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.116 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.334 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.342 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.454 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.583 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.994 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.411 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.847 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.989 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.998 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.068 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.338 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.806 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.858 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.913 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.97 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.215 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.261 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.28 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.386 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.524 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.678 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.729 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.932 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.134 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.279 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.343 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.752 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.025 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.054 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.108 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.122 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.123 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.182 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.206 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.326 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.396 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.476 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.523 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.545 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.547 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.648 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.699 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.708 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.741 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.88 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.931 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.953 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.057 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.153 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.714 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.12 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.215 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.285 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.6 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.742 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.894 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.92 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.925 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.174 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.273 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.351 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.366 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.512 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.722 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.063 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.149 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.254 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.259 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.52 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.687 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.745 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.964 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.027 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.132 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.327 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.334 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.617 -9747614.5639 9747614.5639 2 0.0 -0.0 0.0 15601.0 625.8070356964297 -1.439885 0.0
+NULL 15601.0 1969-12-31 16:00:05.83 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:06.051 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:06.692 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:07.844 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.176 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.252 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.368 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.607 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.868 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.948 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.357 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.473 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.582 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.697 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.045 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.132 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.173 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.259 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.649 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.738 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.898 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.957 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.983 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.205 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.498 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.848 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.853 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.948 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.029 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.183 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.503 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.801 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.955 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.452 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.565 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.733 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.747 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.903 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:15.39 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:15.805 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:16.076 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:16.279 -9747614.5639 9747614.5639 2 0.0 -0.0 0.0 15601.0 625.8070356964297 -1.439885 0.0
+Nmt6E360X6dpX58CR2 NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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[05/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_6.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_6.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_6.q.out
new file mode 100644
index 0000000..b74f56b
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_6.q.out
@@ -0,0 +1,1732 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ cfloat,
+ cstring1,
+ (988888 * csmallint),
+ (-(csmallint)),
+ (-(cfloat)),
+ (-26.28 / cfloat),
+ (cfloat * 359),
+ (cint % ctinyint),
+ (-(cdouble)),
+ (ctinyint - -75),
+ (762 * (cint % ctinyint))
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND ((((cboolean1 <= 0)
+ AND (cboolean2 >= cboolean1))
+ OR ((cbigint IS NOT NULL)
+ AND ((cstring2 LIKE '%a')
+ OR (cfloat <= -257))))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ cfloat,
+ cstring1,
+ (988888 * csmallint),
+ (-(csmallint)),
+ (-(cfloat)),
+ (-26.28 / cfloat),
+ (cfloat * 359),
+ (cint % ctinyint),
+ (-(cdouble)),
+ (ctinyint - -75),
+ (762 * (cint % ctinyint))
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND ((((cboolean1 <= 0)
+ AND (cboolean2 >= cboolean1))
+ OR ((cbigint IS NOT NULL)
+ AND ((cstring2 LIKE '%a')
+ OR (cfloat <= -257))))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColNotEqualLongScalar(col 0:tinyint, val 0), FilterExprOrExpr(children: FilterExprAndExpr(children: FilterLongColLessEqualLongScalar(col 10:boolean, val 0), FilterLongColGreaterEqualLongColumn(col 11:boolean, col 10:boolean)), FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:bigint), FilterExprOrExpr(children: FilterStringColLikeStringScalar(col 7:string, pattern %a), FilterDoubleColLessEqualDoubleScalar(col 4:float, val -257.0)))))
+ predicate: ((((cboolean1 <= 0) and (cboolean2 >= cboolean1)) or (cbigint is not null and ((cstring2 like '%a') or (cfloat <= -257)))) and (ctinyint <> 0)) (type: boolean)
+ Statistics: Num rows: 11605 Data size: 139260 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cboolean1 (type: boolean), cfloat (type: float), cstring1 (type: string), (988888 * UDFToInteger(csmallint)) (type: int), (- csmallint) (type: smallint), (- cfloat) (type: float), (-26.28 / UDFToDouble(cfloat)) (type: double), (cfloat * 359.0) (type: float), (cint % UDFToInteger(ctinyint)) (type: int), (- cdouble) (type: double), (UDFToInteger(ctinyint) - -75) (type: int), (762 * (cint % UDFToInteger(ctinyint))) (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [10, 4, 6, 13, 14, 15, 16, 17, 18, 19, 20, 22]
+ selectExpressions: LongScalarMultiplyLongColumn(val 988888, col 1:int)(children: col 1:smallint) -> 13:int, LongColUnaryMinus(col 1:smallint) -> 14:smallint, DoubleColUnaryMinus(col 4:float) -> 15:float, DoubleScalarDivideDoubleColumn(val -26.28, col 4:double)(children: col 4:float) -> 16:double, DoubleColMultiplyDoubleScalar(col 4:float, val 359.0) -> 17:float, LongColModuloLongColumn(col 2:int, col 0:int)(children: col 0:tinyint) -> 18:int, DoubleColUnaryMinus(col 5:double) -> 19:double, LongColSubtractLongScalar(col 0:int, val -75)(children: col 0:tinyint) -> 20:int, LongScalarMultiplyLongColumn(val 762, col 21:int)(children: LongColModuloLongColumn(col 2:int, col 0:int)(children: col 0:tinyint) -> 21:int) -> 22:int
+ Statistics: Num rows: 11605 Data size: 139260 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 11605 Data size: 139260 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 4, 5, 6, 7, 10, 11]
+ 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, double, double, double, bigint, double, bigint, bigint, bigint]
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cboolean1,
+ cfloat,
+ cstring1,
+ (988888 * csmallint),
+ (-(csmallint)),
+ (-(cfloat)),
+ (-26.28 / cfloat),
+ (cfloat * 359),
+ (cint % ctinyint),
+ (-(cdouble)),
+ (ctinyint - -75),
+ (762 * (cint % ctinyint))
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND ((((cboolean1 <= 0)
+ AND (cboolean2 >= cboolean1))
+ OR ((cbigint IS NOT NULL)
+ AND ((cstring2 LIKE '%a')
+ OR (cfloat <= -257))))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cboolean1,
+ cfloat,
+ cstring1,
+ (988888 * csmallint),
+ (-(csmallint)),
+ (-(cfloat)),
+ (-26.28 / cfloat),
+ (cfloat * 359),
+ (cint % ctinyint),
+ (-(cdouble)),
+ (ctinyint - -75),
+ (762 * (cint % ctinyint))
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND ((((cboolean1 <= 0)
+ AND (cboolean2 >= cboolean1))
+ OR ((cbigint IS NOT NULL)
+ AND ((cstring2 LIKE '%a')
+ OR (cfloat <= -257))))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+NULL -12.0 NULL -1752227496 -15601 12.0 2.19 -4308.0 NULL -15601.0 63 NULL
+NULL -14.0 NULL 1473896544 7196 14.0 1.8771428571428572 -5026.0 NULL 7196.0 61 NULL
+NULL -20.0 NULL -1752227496 -15601 20.0 1.314 -7180.0 NULL -15601.0 55 NULL
+NULL -22.0 NULL -1752227496 -15601 22.0 1.1945454545454546 -7898.0 NULL -15601.0 53 NULL
+NULL -23.0 NULL -1752227496 -15601 23.0 1.142608695652174 -8257.0 NULL -15601.0 52 NULL
+NULL -26.0 NULL 1473896544 7196 26.0 1.0107692307692309 -9334.0 NULL 7196.0 49 NULL
+NULL -27.0 NULL 1473896544 7196 27.0 0.9733333333333334 -9693.0 NULL 7196.0 48 NULL
+NULL -28.0 NULL 1473896544 7196 28.0 0.9385714285714286 -10052.0 NULL 7196.0 47 NULL
+NULL -34.0 NULL -197777600 200 34.0 0.7729411764705882 -12206.0 NULL 200.0 41 NULL
+NULL -36.0 NULL -197777600 200 36.0 0.73 -12924.0 NULL 200.0 39 NULL
+NULL -38.0 NULL -197777600 200 38.0 0.6915789473684211 -13642.0 NULL 200.0 37 NULL
+NULL -42.0 NULL -1752227496 -15601 42.0 0.6257142857142858 -15078.0 NULL -15601.0 33 NULL
+NULL -43.0 NULL -197777600 200 43.0 0.6111627906976744 -15437.0 NULL 200.0 32 NULL
+NULL -44.0 NULL -197777600 200 44.0 0.5972727272727273 -15796.0 NULL 200.0 31 NULL
+NULL -49.0 NULL -1752227496 -15601 49.0 0.5363265306122449 -17591.0 NULL -15601.0 26 NULL
+NULL -50.0 NULL -1752227496 -15601 50.0 0.5256000000000001 -17950.0 NULL -15601.0 25 NULL
+NULL -50.0 NULL -1752227496 -15601 50.0 0.5256000000000001 -17950.0 NULL -15601.0 25 NULL
+NULL -51.0 NULL 1473896544 7196 51.0 0.5152941176470588 -18309.0 NULL 7196.0 24 NULL
+NULL -57.0 NULL 1473896544 7196 57.0 0.4610526315789474 -20463.0 NULL 7196.0 18 NULL
+NULL -62.0 NULL -197777600 200 62.0 0.4238709677419355 -22258.0 NULL 200.0 13 NULL
+NULL 10.0 NULL -197777600 200 -10.0 -2.628 3590.0 NULL 200.0 85 NULL
+NULL 10.0 NULL -197777600 200 -10.0 -2.628 3590.0 NULL 200.0 85 NULL
+NULL 12.0 NULL 1473896544 7196 -12.0 -2.19 4308.0 NULL 7196.0 87 NULL
+NULL 15.0 NULL 1473896544 7196 -15.0 -1.752 5385.0 NULL 7196.0 90 NULL
+NULL 16.0 NULL -197777600 200 -16.0 -1.6425 5744.0 NULL 200.0 91 NULL
+NULL 18.0 NULL 1473896544 7196 -18.0 -1.46 6462.0 NULL 7196.0 93 NULL
+NULL 21.0 NULL -1752227496 -15601 -21.0 -1.2514285714285716 7539.0 NULL -15601.0 96 NULL
+NULL 29.0 NULL -1752227496 -15601 -29.0 -0.9062068965517242 10411.0 NULL -15601.0 104 NULL
+NULL 29.0 NULL -197777600 200 -29.0 -0.9062068965517242 10411.0 NULL 200.0 104 NULL
+NULL 30.0 NULL -1752227496 -15601 -30.0 -0.876 10770.0 NULL -15601.0 105 NULL
+NULL 32.0 NULL 1473896544 7196 -32.0 -0.82125 11488.0 NULL 7196.0 107 NULL
+NULL 34.0 NULL -197777600 200 -34.0 -0.7729411764705882 12206.0 NULL 200.0 109 NULL
+NULL 35.0 NULL -1752227496 -15601 -35.0 -0.7508571428571429 12565.0 NULL -15601.0 110 NULL
+NULL 4.0 NULL -197777600 200 -4.0 -6.57 1436.0 NULL 200.0 79 NULL
+NULL 4.0 NULL 1473896544 7196 -4.0 -6.57 1436.0 NULL 7196.0 79 NULL
+NULL 47.0 NULL 1473896544 7196 -47.0 -0.5591489361702128 16873.0 NULL 7196.0 122 NULL
+NULL 55.0 NULL -1752227496 -15601 -55.0 -0.47781818181818186 19745.0 NULL -15601.0 130 NULL
+NULL 57.0 NULL 1473896544 7196 -57.0 -0.4610526315789474 20463.0 NULL 7196.0 132 NULL
+NULL 59.0 NULL -197777600 200 -59.0 -0.44542372881355935 21181.0 NULL 200.0 134 NULL
+NULL 9.0 NULL 1473896544 7196 -9.0 -2.92 3231.0 NULL 7196.0 84 NULL
+false -51.0 00MmJs1fiJp37y60mj4Ej8 NULL NULL 51.0 0.5152941176470588 -18309.0 -43 NULL 24 -32766
+false -51.0 00iT08 NULL NULL 51.0 0.5152941176470588 -18309.0 28 NULL 24 21336
+false -51.0 04Yu8RntCU7amJtj NULL NULL 51.0 0.5152941176470588 -18309.0 -50 NULL 24 -38100
+false -51.0 05oYA4ya5 NULL NULL 51.0 0.5152941176470588 -18309.0 -31 NULL 24 -23622
+false -51.0 060EnWLmWE4K8Pv NULL NULL 51.0 0.5152941176470588 -18309.0 -19 NULL 24 -14478
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+false 11.0 XSv8Ti8c NULL NULL -11.0 -2.389090909090909 3949.0 5 NULL 86 3810
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+false 11.0 Y55ytQtGRN8l58131e NULL NULL -11.0 -2.389090909090909 3949.0 -5 NULL 86 -3810
+false 11.0 Y5ls7N3Qy30h43866R3cL53 NULL NULL -11.0 -2.389090909090909 3949.0 -8 NULL 86 -6096
+false 11.0 Y6net7wDJ2TVjq2u7H8aRCyA NULL NULL -11.0 -2.389090909090909 3949.0 6 NULL 86 4572
+false 11.0 Y8QG0P1v36K02sXHc84 NULL NULL -11.0 -2.389090909090909 3949.0 -7 NULL 86 -5334
+false 11.0 YLh18Tir3Ga NULL NULL -11.0 -2.389090909090909 3949.0 2 NULL 86 1524
+false 11.0 YUKS3r4spEtph1kg7 NULL NULL -11.0 -2.389090909090909 3949.0 6 NULL 86 4572
+false 11.0 YXbTksK2YAt32i4vi6xyT2 NULL NULL -11.0 -2.389090909090909 3949.0 -1 NULL 86 -762
+false 11.0 YjyfU613tjGy NULL NULL -11.0 -2.389090909090909 3949.0 10 NULL 86 7620
+false 11.0 YwV7DVLB0kut0S5p NULL NULL -11.0 -2.389090909090909 3949.0 -5 NULL 86 -3810
+false 11.0 a7P5omBy NULL NULL -11.0 -2.389090909090909 3949.0 2 NULL 86 1524
+false 11.0 aEi5JQHQPd4Y8 NULL NULL -11.0 -2.389090909090909 3949.0 -3 NULL 86 -2286
+false 11.0 aGx8GQM1 NULL NULL -11.0 -2.389090909090909 3949.0 4 NULL 86 3048
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+false 11.0 ann6ipj6 NULL NULL -11.0 -2.389090909090909 3949.0 7 NULL 86 5334
+false 11.0 au3q16lrAbWbHFqF NULL NULL -11.0 -2.389090909090909 3949.0 -2 NULL 86 -1524
+false 11.0 awXW5ct NULL NULL -11.0 -2.389090909090909 3949.0 3 NULL 86 2286
+false 11.0 b NULL NULL -11.0 -2.389090909090909 3949.0 -5 NULL 86 -3810
+false 11.0 b NULL NULL -11.0 -2.389090909090909 3949.0 -9 NULL 86 -6858
+false 11.0 b3T1L5u7us8 NULL NULL -11.0 -2.389090909090909 3949.0 2 NULL 86 1524
+false 11.0 bGBcSi10VWt NULL NULL -11.0 -2.389090909090909 3949.0 9 NULL 86 6858
+false 11.0 bJQO0 NULL NULL -11.0 -2.389090909090909 3949.0 8 NULL 86 6096
+false 11.0 bK1Ops664m7u46sIF7Cgn7 NULL NULL -11.0 -2.389090909090909 3949.0 8 NULL 86 6096
+false 11.0 bM34sI6W5h NULL NULL -11.0 -2.389090909090909 3949.0 8 NULL 86 6096
+false 11.0 bQmm3Sk5f0ib NULL NULL -11.0 -2.389090909090909 3949.0 3 NULL 86 2286
+false 11.0 bX48CaI1txU5AGn2AmEuKj NULL NULL -11.0 -2.389090909090909 3949.0 -8 NULL 86 -6096
+false 11.0 bq2VE4s1Ps NULL NULL -11.0 -2.389090909090909 3949.0 -6 NULL 86 -4572
+false 11.0 bq7qevqgOC NULL NULL -11.0 -2.389090909090909 3949.0 -5 NULL 86 -3810
+false 11.0 btgw707cKS2odwbePK2B NULL NULL -11.0 -2.389090909090909 3949.0 -3 NULL 86 -2286
+false 11.0 bvg7bP3mln3ILuC888M5DEF NULL NULL -11.0 -2.389090909090909 3949.0 8 NULL 86 6096
+false 11.0 c0gO7g27mjW4XEaUK1fXvEk NULL NULL -11.0 -2.389090909090909 3949.0 -9 NULL 86 -6858
+false 11.0 c34CVGK345 NULL NULL -11.0 -2.389090909090909 3949.0 -5 NULL 86 -3810
+false 11.0 cTWO4kFIrl1n NULL NULL -11.0 -2.389090909090909 3949.0 -9 NULL 86 -6858
+false 11.0 cp30v1 NULL NULL -11.0 -2.389090909090909 3949.0 0 NULL 86 0
+false 11.0 cre3m4OHF4H4x7nM NULL NULL -11.0 -2.389090909090909 3949.0 2 NULL 86 1524
+false 11.0 cv71a87hIMbVuJ2dAX NULL NULL -11.0 -2.389090909090909 3949.0 4 NULL 86 3048
+false 11.0 d3o1712a03n20qvi62U7 NULL NULL -11.0 -2.389090909090909 3949.0 2 NULL 86 1524
+false 11.0 d8p1NiE467oJer5eVW2DBi NULL NULL -11.0 -2.389090909090909 3949.0 3 NULL 86 2286
+false 11.0 dDf3se3j NULL NULL -11.0 -2.389090909090909 3949.0 4 NULL 86 3048
+false 11.0 e035q4Ba4721NL1l NULL NULL -11.0 -2.389090909090909 3949.0 0 NULL 86 0
+false 11.0 e2m8waBVlVU NULL NULL -11.0 -2.389090909090909 3949.0 -10 NULL 86 -7620
+false 11.0 e5YfpR NULL NULL -11.0 -2.389090909090909 3949.0 9 NULL 86 6858
+false 11.0 eQ80MW0h728I204P87YXc NULL NULL -11.0 -2.389090909090909 3949.0 -2 NULL 86 -1524
+false 11.0 eicMhR0nJt12OH7IO2651bO NULL NULL -11.0 -2.389090909090909 3949.0 -2 NULL 86 -1524
+false 11.0 eoIG247 NULL NULL -11.0 -2.389090909090909 3949.0 3 NULL 86 2286
+false 11.0 er5IUhd505r0lT6sc20Tef5q NULL NULL -11.0 -2.389090909090909 3949.0 -3 NULL 86 -2286
+false 11.0 etHtCC NULL NULL -11.0 -2.389090909090909 3949.0 1 NULL 86 762
+false 11.0 f0QmOLoGtou7gq42fy01Brn NULL NULL -11.0 -2.389090909090909 3949.0 -5 NULL 86 -3810
+false 11.0 fKbw64QavqgbDL2t60s NULL NULL -11.0 -2.389090909090909 3949.0 -8 NULL 86 -6096
+false 11.0 fg7BpI NULL NULL -11.0 -2.389090909090909 3949.0 -2 NULL 86 -1524
+false 11.0 frhe0 NULL NULL -11.0 -2.389090909090909 3949.0 -2 NULL 86 -1524
+false 11.0 g2vI6MW2 NULL NULL -11.0 -2.389090909090909 3949.0 4 NULL 86 3048
+false 11.0 g552y0x1B4n NULL NULL -11.0 -2.389090909090909 3949.0 3 NULL 86 2286
+false 11.0 g6VL0j3k7pEcBq0Hbsk NULL NULL -11.0 -2.389090909090909 3949.0 0 NULL 86 0
+false 11.0 g8d0MGKWIe2r6wivyyl NULL NULL -11.0 -2.389090909090909 3949.0 -6 NULL 86 -4572
+false 11.0 gSJS1mpb5Khx8140U3 NULL NULL -11.0 -2.389090909090909 3949.0 -6 NULL 86 -4572
+false 11.0 gj5IRDNe62057M NULL NULL -11.0 -2.389090909090909 3949.0 -3 NULL 86 -2286
+false 11.0 gk0kJenBW237uQoxGBx36 NULL NULL -11.0 -2.389090909090909 3949.0 -4 NULL 86 -3048
+false 11.0 gv7hVe3 NULL NULL -11.0 -2.389090909090909 3949.0 -9 NULL 86 -6858
+false 11.0 h301kgvvRS1JMq4S8dl NULL NULL -11.0 -2.389090909090909 3949.0 4 NULL 86 3048
+false 11.0 h6pSh1A3WMOI3eY4IxD NULL NULL -11.0 -2.389090909090909 3949.0 -3 NULL 86 -2286
+false 11.0 hSb1x4 NULL NULL -11.0 -2.389090909090909 3949.0 -1 NULL 86 -762
+false 11.0 hl4w6g0LGTr2q7740MWXNhi6 NULL NULL
<TRUNCATED>
[18/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_7.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_7.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_7.q.out
new file mode 100644
index 0000000..77caa03
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_7.q.out
@@ -0,0 +1,435 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > -15)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > -15)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColNotEqualLongScalar(col 0:tinyint, val 0), FilterExprOrExpr(children: FilterDoubleColLessEqualDoubleScalar(col 13:double, val 0.0)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterLongColEqualLongColumn(col 0:int, col 2:int)(children: col 0:tinyint), FilterStringColLikeStringScalar(col 7:string, pattern ss)), FilterExprOrExpr(children: FilterDoubleScalarLessDoubleColumn(val 988888.0, col 5:double), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 13:double, val -15.0)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterDoubleScalarGreaterEqualDoubleColumn(val 3569.0, col 5:double))))
+ predicate: (((988888.0 < cdouble) or ((UDFToDouble(ctimestamp2) > -15.0) and (3569.0 >= cdouble))) and ((UDFToDouble(ctimestamp1) <= 0.0) or (UDFToInteger(ctinyint) = cint) or (cstring2 like 'ss')) and (ctinyint <> 0)) (type: boolean)
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cboolean1 (type: boolean), cbigint (type: bigint), csmallint (type: smallint), ctinyint (type: tinyint), ctimestamp1 (type: timestamp), cstring1 (type: string), (cbigint + cbigint) (type: bigint), (UDFToInteger(csmallint) % -257) (type: int), (- csmallint) (type: smallint), (- ctinyint) (type: tinyint), (UDFToInteger((- ctinyint)) + 17) (type: int), (cbigint * UDFToLong((- csmallint))) (type: bigint), (cint % UDFToInteger(csmallint)) (type: int), (- ctinyint) (type: tinyint), ((- ctinyint) % ctinyint) (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [10, 3, 1, 0, 8, 6, 14, 15, 16, 17, 19, 20, 18, 21, 23]
+ selectExpressions: LongColAddLongColumn(col 3:bigint, col 3:bigint) -> 14:bigint, LongColModuloLongScalar(col 1:int, val -257)(children: col 1:smallint) -> 15:int, LongColUnaryMinus(col 1:smallint) -> 16:smallint, LongColUnaryMinus(col 0:tinyint) -> 17:tinyint, LongColAddLongScalar(col 18:int, val 17)(children: col 18:tinyint) -> 19:int, LongColMultiplyLongColumn(col 3:bigint, col 18:bigint)(children: col 18:smallint) -> 20:bigint, LongColModuloLongColumn(col 2:int, col 1:int)(children: col 1:smallint) -> 18:int, LongColUnaryMinus(col 0:tinyint) -> 21:tinyint, LongColModuloLongColumn(col 22:tinyint, col 0:tinyint)(children: LongColUnaryMinus(col 0:tinyint) -> 22:tinyint) -> 23:tinyint
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: bigint), _col2 (type: smallint), _col3 (type: tinyint), _col4 (type: timestamp), _col5 (type: string), _col6 (type: bigint), _col7 (type: int), _col8 (type: smallint), _col9 (type: tinyint), _col10 (type: int), _col11 (type: bigint), _col12 (type: int), _col13 (type: tinyint), _col14 (type: tinyint)
+ sort order: +++++++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 5, 6, 7, 8, 9, 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: [double, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: bigint), KEY.reducesinkkey2 (type: smallint), KEY.reducesinkkey3 (type: tinyint), KEY.reducesinkkey4 (type: timestamp), KEY.reducesinkkey5 (type: string), KEY.reducesinkkey6 (type: bigint), KEY.reducesinkkey7 (type: int), KEY.reducesinkkey8 (type: smallint), KEY.reducesinkkey9 (type: tinyint), KEY.reducesinkkey10 (type: int), KEY.reducesinkkey11 (type: bigint), KEY.reducesinkkey12 (type: int), KEY.reducesinkkey9 (type: tinyint), KEY.reducesinkkey14 (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 25
+ Statistics: Num rows: 25 Data size: 300 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 25 Data size: 300 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 25
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > -15)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > -15)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+NULL -2118149242 -7196 56 1969-12-31 15:59:50.462 NULL -4236298484 0 7196 -56 -39 -15242201945432 NULL -56 0
+NULL -2121399625 -7196 27 1969-12-31 15:59:50.046 NULL -4242799250 0 7196 -27 -10 -15265591701500 NULL -27 0
+NULL -2124802690 -7196 -6 1969-12-31 15:59:57.92 NULL -4249605380 0 7196 6 23 -15290080157240 NULL 6 0
+NULL -2128720310 -7196 -52 1969-12-31 15:59:45.978 NULL -4257440620 0 7196 52 69 -15318271350760 NULL 52 0
+NULL -2132232110 -200 60 1969-12-31 15:59:47.019 NULL -4264464220 -200 200 -60 -43 -426446422000 NULL -60 0
+NULL -2132536965 -7196 9 1969-12-31 15:59:46 NULL -4265073930 0 7196 -9 8 -15345736000140 NULL -9 0
+NULL -2135141157 -7196 50 1969-12-31 15:59:50.192 NULL -4270282314 0 7196 -50 -33 -15364475765772 NULL -50 0
+NULL -2137537679 -7196 -25 1969-12-31 15:59:50.136 NULL -4275075358 0 7196 25 42 -15381721138084 NULL 25 0
+NULL -2145481991 -7196 56 1969-12-31 15:59:55.667 NULL -4290963982 0 7196 -56 -39 -15438888407236 NULL -56 0
+NULL NULL -200 -36 1969-12-31 15:59:57.241 NULL NULL -200 200 36 53 NULL NULL 36 0
+NULL NULL -200 -43 1969-12-31 15:59:53.783 NULL NULL -200 200 43 60 NULL NULL 43 0
+NULL NULL -200 -58 1969-12-31 15:59:51.115 NULL NULL -200 200 58 75 NULL NULL 58 0
+NULL NULL -200 22 1969-12-31 15:59:50.109 NULL NULL -200 200 -22 -5 NULL NULL -22 0
+NULL NULL -200 3 1969-12-31 15:59:50.489 NULL NULL -200 200 -3 14 NULL NULL -3 0
+NULL NULL -200 43 1969-12-31 15:59:57.003 NULL NULL -200 200 -43 -26 NULL NULL -43 0
+NULL NULL -200 53 1969-12-31 15:59:49.46 NULL NULL -200 200 -53 -36 NULL NULL -53 0
+NULL NULL -200 9 1969-12-31 15:59:44.108 NULL NULL -200 200 -9 8 NULL NULL -9 0
+NULL NULL -7196 -38 1969-12-31 15:59:53.503 NULL NULL 0 7196 38 55 NULL NULL 38 0
+NULL NULL -7196 -49 1969-12-31 15:59:51.009 NULL NULL 0 7196 49 66 NULL NULL 49 0
+NULL NULL -7196 -49 1969-12-31 15:59:52.052 NULL NULL 0 7196 49 66 NULL NULL 49 0
+NULL NULL -7196 -50 1969-12-31 15:59:52.424 NULL NULL 0 7196 50 67 NULL NULL 50 0
+NULL NULL -7196 -61 1969-12-31 15:59:44.823 NULL NULL 0 7196 61 78 NULL NULL 61 0
+NULL NULL -7196 1 1969-12-31 15:59:48.361 NULL NULL 0 7196 -1 16 NULL NULL -1 0
+NULL NULL -7196 14 1969-12-31 15:59:50.291 NULL NULL 0 7196 -14 3 NULL NULL -14 0
+NULL NULL -7196 22 1969-12-31 15:59:52.699 NULL NULL 0 7196 -22 -5 NULL NULL -22 0
+PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0.0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > 7.6850000000000005)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0.0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > 7.6850000000000005)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColNotEqualLongScalar(col 0:tinyint, val 0), FilterExprOrExpr(children: FilterDoubleColLessEqualDoubleScalar(col 13:double, val 0.0)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterLongColEqualLongColumn(col 0:int, col 2:int)(children: col 0:tinyint), FilterStringColLikeStringScalar(col 7:string, pattern ss)), FilterExprOrExpr(children: FilterDoubleScalarLessDoubleColumn(val 988888.0, col 5:double), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 13:double, val 7.6850000000000005)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterDoubleScalarGreaterEqualDoubleColumn(val 3569.0, col 5:double))))
+ predicate: (((988888.0 < cdouble) or ((UDFToDouble(ctimestamp2) > 7.6850000000000005) and (3569.0 >= cdouble))) and ((UDFToDouble(ctimestamp1) <= 0.0) or (UDFToInteger(ctinyint) = cint) or (cstring2 like 'ss')) and (ctinyint <> 0)) (type: boolean)
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cboolean1 (type: boolean), cbigint (type: bigint), csmallint (type: smallint), ctinyint (type: tinyint), ctimestamp1 (type: timestamp), cstring1 (type: string), (cbigint + cbigint) (type: bigint), (UDFToInteger(csmallint) % -257) (type: int), (- csmallint) (type: smallint), (- ctinyint) (type: tinyint), (UDFToInteger((- ctinyint)) + 17) (type: int), (cbigint * UDFToLong((- csmallint))) (type: bigint), (cint % UDFToInteger(csmallint)) (type: int), (- ctinyint) (type: tinyint), ((- ctinyint) % ctinyint) (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [10, 3, 1, 0, 8, 6, 14, 15, 16, 17, 19, 20, 18, 21, 23]
+ selectExpressions: LongColAddLongColumn(col 3:bigint, col 3:bigint) -> 14:bigint, LongColModuloLongScalar(col 1:int, val -257)(children: col 1:smallint) -> 15:int, LongColUnaryMinus(col 1:smallint) -> 16:smallint, LongColUnaryMinus(col 0:tinyint) -> 17:tinyint, LongColAddLongScalar(col 18:int, val 17)(children: col 18:tinyint) -> 19:int, LongColMultiplyLongColumn(col 3:bigint, col 18:bigint)(children: col 18:smallint) -> 20:bigint, LongColModuloLongColumn(col 2:int, col 1:int)(children: col 1:smallint) -> 18:int, LongColUnaryMinus(col 0:tinyint) -> 21:tinyint, LongColModuloLongColumn(col 22:tinyint, col 0:tinyint)(children: LongColUnaryMinus(col 0:tinyint) -> 22:tinyint) -> 23:tinyint
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: bigint), _col2 (type: smallint), _col3 (type: tinyint), _col4 (type: timestamp), _col5 (type: string), _col6 (type: bigint), _col7 (type: int), _col8 (type: smallint), _col9 (type: tinyint), _col10 (type: int), _col11 (type: bigint), _col12 (type: int), _col13 (type: tinyint), _col14 (type: tinyint)
+ sort order: +++++++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: bigint), KEY.reducesinkkey2 (type: smallint), KEY.reducesinkkey3 (type: tinyint), KEY.reducesinkkey4 (type: timestamp), KEY.reducesinkkey5 (type: string), KEY.reducesinkkey6 (type: bigint), KEY.reducesinkkey7 (type: int), KEY.reducesinkkey8 (type: smallint), KEY.reducesinkkey9 (type: tinyint), KEY.reducesinkkey10 (type: int), KEY.reducesinkkey11 (type: bigint), KEY.reducesinkkey12 (type: int), KEY.reducesinkkey9 (type: tinyint), KEY.reducesinkkey14 (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 25
+ Statistics: Num rows: 25 Data size: 300 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 25 Data size: 300 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 25
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0.0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > 7.6850000000000005)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0.0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > 7.6850000000000005)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+true NULL -14584 -7 1969-12-31 15:59:46.965 1cGVWH7n1QU NULL -192 14584 7 24 NULL 5864 7 0
+true NULL -14739 4 1969-12-31 15:59:55.188 cvLH6Eat2yFsyy7p NULL -90 14739 -4 13 NULL 8966 -4 0
+true NULL -14771 13 1969-12-31 15:59:58.839 821UdmGbkEf4j NULL -122 14771 -13 4 NULL 12897 -13 0
+true NULL -15149 20 1969-12-31 15:59:46.575 1cGVWH7n1QU NULL -243 15149 -20 -3 NULL 10520 -20 0
+true NULL -15344 48 1969-12-31 15:59:54.853 821UdmGbkEf4j NULL -181 15344 -48 -31 NULL 13871 -48 0
+true NULL -15388 49 1969-12-31 15:59:58.545 cvLH6Eat2yFsyy7p NULL -225 15388 -49 -32 NULL 3131 -49 0
+true NULL -15431 -11 1969-12-31 15:59:52.176 cvLH6Eat2yFsyy7p NULL -11 15431 11 28 NULL 7586 11 0
+true NULL -15435 -21 1969-12-31 15:59:54.705 1cGVWH7n1QU NULL -15 15435 21 38 NULL 6586 21 0
+true NULL -15450 -34 1969-12-31 15:59:55.681 cvLH6Eat2yFsyy7p NULL -30 15450 34 51 NULL 5717 34 0
+true NULL -15478 7 1969-12-31 15:59:56.809 cvLH6Eat2yFsyy7p NULL -58 15478 -7 10 NULL 7501 -7 0
+true NULL -15555 -2 1969-12-31 15:59:58.773 1cGVWH7n1QU NULL -135 15555 2 19 NULL 9991 2 0
+true NULL -15659 -11 1969-12-31 15:59:48.466 cvLH6Eat2yFsyy7p NULL -239 15659 11 28 NULL 12199 11 0
+true NULL -15711 -60 1969-12-31 15:59:53.115 821UdmGbkEf4j NULL -34 15711 60 77 NULL 7646 60 0
+true NULL -15770 -23 1969-12-31 15:59:56.822 1cGVWH7n1QU NULL -93 15770 23 40 NULL 4926 23 0
+true NULL -15794 53 1969-12-31 15:59:53.749 cvLH6Eat2yFsyy7p NULL -117 15794 -53 -36 NULL 4351 -53 0
+true NULL -15892 29 1969-12-31 15:59:57.937 821UdmGbkEf4j NULL -215 15892 -29 -12 NULL 171 -29 0
+true NULL -15899 50 1969-12-31 15:59:46.926 821UdmGbkEf4j NULL -222 15899 -50 -33 NULL 10210 -50 0
+true NULL -15920 -64 1969-12-31 15:59:51.859 cvLH6Eat2yFsyy7p NULL -243 15920 64 81 NULL 6687 64 0
+true NULL -15922 -17 1969-12-31 15:59:46.164 821UdmGbkEf4j NULL -245 15922 17 34 NULL 10851 17 0
+true NULL -15980 -6 1969-12-31 15:59:54.84 1cGVWH7n1QU NULL -46 15980 6 23 NULL 14836 6 0
+true NULL -16017 -21 1969-12-31 15:59:44.02 821UdmGbkEf4j NULL -83 16017 21 38 NULL 2282 21 0
+true NULL -16036 -15 1969-12-31 15:59:58.681 1cGVWH7n1QU NULL -102 16036 15 32 NULL 7928 15 0
+true NULL -16076 59 1969-12-31 15:59:55.023 821UdmGbkEf4j NULL -142 16076 -59 -42 NULL 7907 -59 0
+true NULL -16122 50 1969-12-31 15:59:51.608 1cGVWH7n1QU NULL -188 16122 -50 -33 NULL 1828 -50 0
+true NULL -16153 35 1969-12-31 15:59:52.036 1cGVWH7n1QU NULL -219 16153 -35 -18 NULL 14817 -35 0
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_8.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_8.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_8.q.out
new file mode 100644
index 0000000..caa4bff
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_8.q.out
@@ -0,0 +1,409 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 10)
+ AND (ctimestamp2 != 16)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 10)
+ AND (ctimestamp2 != 16)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:string), FilterDoubleColLessEqualDoubleScalar(col 13:double, val 10.0)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterDoubleColNotEqualDoubleScalar(col 13:double, val 16.0)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double)), FilterDoubleColLessDoubleScalar(col 4:float, val -6432.0), FilterExprAndExpr(children: SelectColumnIsNotNull(col 10:boolean), FilterDoubleColEqualDoubleScalar(col 5:double, val 988888.0)))
+ predicate: ((cboolean1 is not null and (cdouble = 988888.0)) or (cfloat < -6432) or (cstring2 is not null and (UDFToDouble(ctimestamp1) <= 10.0) and (UDFToDouble(ctimestamp2) <> 16.0))) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctimestamp1 (type: timestamp), cdouble (type: double), cboolean1 (type: boolean), cstring1 (type: string), cfloat (type: float), (- cdouble) (type: double), (-5638.15 - cdouble) (type: double), (cdouble * -257.0) (type: double), (UDFToFloat(cint) + cfloat) (type: float), ((- cdouble) + UDFToDouble(cbigint)) (type: double), (- cdouble) (type: double), (-1.389 - cfloat) (type: float), (- cfloat) (type: float), ((-5638.15 - cdouble) + UDFToDouble((UDFToFloat(cint) + cfloat))) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [8, 5, 10, 6, 4, 13, 14, 15, 17, 19, 16, 18, 20, 22]
+ selectExpressions: DoubleColUnaryMinus(col 5:double) -> 13:double, DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 14:double, DoubleColMultiplyDoubleScalar(col 5:double, val -257.0) -> 15:double, DoubleColAddDoubleColumn(col 16:float, col 4:float)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 16:float) -> 17:float, DoubleColAddDoubleColumn(col 16:double, col 18:double)(children: DoubleColUnaryMinus(col 5:double) -> 16:double, CastLongToDouble(col 3:bigint) -> 18:double) -> 19:double, DoubleColUnaryMinus(col 5:double) -> 16:double, DoubleScalarSubtractDoubleColumn(val -1.3890000581741333, col 4:float) -> 18:float, DoubleColUnaryMinus(col 4:float) -> 20:float, DoubleColAddDoubleColumn(col 21:double, col 23:double)(children: DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 21:double, col 23:float) -> 22:double
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: timestamp), _col1 (type: double), _col2 (type: boolean), _col3 (type: string), _col4 (type: float), _col5 (type: double), _col6 (type: double), _col7 (type: double), _col8 (type: float), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: float), _col13 (type: double)
+ sort order: ++++++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [2, 3, 4, 5, 6, 7, 8, 9, 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: [double, double, double, double, double, double, double, double, double, double, double]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey1 (type: double), KEY.reducesinkkey2 (type: boolean), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: float), KEY.reducesinkkey5 (type: double), KEY.reducesinkkey6 (type: double), KEY.reducesinkkey7 (type: double), KEY.reducesinkkey8 (type: float), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey5 (type: double), KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: float), KEY.reducesinkkey13 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 10)
+ AND (ctimestamp2 != 16)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 10)
+ AND (ctimestamp2 != 16)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+1969-12-31 15:59:30.929 -200.0 NULL NULL 12.0 200.0 -5438.15 51400.0 NULL 2.128824065E9 200.0 -13.389 -12.0 NULL
+1969-12-31 15:59:30.929 -200.0 NULL NULL 42.0 200.0 -5438.15 51400.0 NULL -5.78935585E8 200.0 -43.389 -42.0 NULL
+1969-12-31 15:59:30.929 -7196.0 NULL NULL 49.0 7196.0 1557.8500000000004 1849372.0 NULL 1.948230809E9 7196.0 -50.389 -49.0 NULL
+1969-12-31 15:59:30.929 15601.0 NULL NULL -54.0 -15601.0 -21239.15 -4009457.0 NULL -1.114185408E9 -15601.0 52.611 54.0 NULL
+1969-12-31 15:59:43.628 -200.0 NULL NULL 23.0 200.0 -5438.15 51400.0 NULL 2.034056161E9 200.0 -24.389 -23.0 NULL
+1969-12-31 15:59:43.637 -7196.0 NULL NULL -44.0 7196.0 1557.8500000000004 1849372.0 NULL 1.100301451E9 7196.0 42.611 44.0 NULL
+1969-12-31 15:59:43.64 -7196.0 NULL NULL -51.0 7196.0 1557.8500000000004 1849372.0 NULL -1.339157623E9 7196.0 49.611 51.0 NULL
+1969-12-31 15:59:43.661 -200.0 NULL NULL 13.0 200.0 -5438.15 51400.0 NULL -6.8063459E7 200.0 -14.389 -13.0 NULL
+1969-12-31 15:59:43.676 -200.0 NULL NULL -10.0 200.0 -5438.15 51400.0 NULL 8.34296111E8 200.0 8.611 10.0 NULL
+1969-12-31 15:59:43.705 15601.0 NULL NULL -12.0 -15601.0 -21239.15 -4009457.0 NULL 5.95398978E8 -15601.0 10.611 12.0 NULL
+1969-12-31 15:59:43.709 15601.0 NULL NULL 61.0 -15601.0 -21239.15 -4009457.0 NULL -1.55652257E8 -15601.0 -62.389 -61.0 NULL
+1969-12-31 15:59:43.72 -200.0 NULL NULL -18.0 200.0 -5438.15 51400.0 NULL 1.809037075E9 200.0 16.611 18.0 NULL
+1969-12-31 15:59:43.721 15601.0 NULL NULL 57.0 -15601.0 -21239.15 -4009457.0 NULL -1.465672807E9 -15601.0 -58.389 -57.0 NULL
+1969-12-31 15:59:43.749 -7196.0 NULL NULL -39.0 7196.0 1557.8500000000004 1849372.0 NULL 3.96436076E8 7196.0 37.611 39.0 NULL
+1969-12-31 15:59:43.771 15601.0 NULL NULL 49.0 -15601.0 -21239.15 -4009457.0 NULL -1.10733693E9 -15601.0 -50.389 -49.0 NULL
+1969-12-31 15:59:43.773 -200.0 NULL NULL -24.0 200.0 -5438.15 51400.0 NULL -1.046049502E9 200.0 22.611 24.0 NULL
+1969-12-31 15:59:43.782 -7196.0 NULL NULL 51.0 7196.0 1557.8500000000004 1849372.0 NULL -1.607339819E9 7196.0 -52.389 -51.0 NULL
+1969-12-31 15:59:43.783 -200.0 NULL NULL -11.0 200.0 -5438.15 51400.0 NULL 1.2116287E7 200.0 9.611 11.0 NULL
+1969-12-31 15:59:43.807 -7196.0 NULL NULL 42.0 7196.0 1557.8500000000004 1849372.0 NULL -5.98226333E8 7196.0 -43.389 -42.0 NULL
+1969-12-31 15:59:43.82 -7196.0 NULL NULL -30.0 7196.0 1557.8500000000004 1849372.0 NULL 1.329550715E9 7196.0 28.611 30.0 NULL
+PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 12.503)
+ AND (ctimestamp2 != 11.998)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 12.503)
+ AND (ctimestamp2 != 11.998)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:string), FilterDoubleColLessEqualDoubleScalar(col 13:double, val 12.503)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterDoubleColNotEqualDoubleScalar(col 13:double, val 11.998)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double)), FilterDoubleColLessDoubleScalar(col 4:float, val -6432.0), FilterExprAndExpr(children: SelectColumnIsNotNull(col 10:boolean), FilterDoubleColEqualDoubleScalar(col 5:double, val 988888.0)))
+ predicate: ((cboolean1 is not null and (cdouble = 988888.0)) or (cfloat < -6432) or (cstring2 is not null and (UDFToDouble(ctimestamp1) <= 12.503) and (UDFToDouble(ctimestamp2) <> 11.998))) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctimestamp1 (type: timestamp), cdouble (type: double), cboolean1 (type: boolean), cstring1 (type: string), cfloat (type: float), (- cdouble) (type: double), (-5638.15 - cdouble) (type: double), (cdouble * -257.0) (type: double), (UDFToFloat(cint) + cfloat) (type: float), ((- cdouble) + UDFToDouble(cbigint)) (type: double), (- cdouble) (type: double), (-1.389 - cfloat) (type: float), (- cfloat) (type: float), ((-5638.15 - cdouble) + UDFToDouble((UDFToFloat(cint) + cfloat))) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [8, 5, 10, 6, 4, 13, 14, 15, 17, 19, 16, 18, 20, 22]
+ selectExpressions: DoubleColUnaryMinus(col 5:double) -> 13:double, DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 14:double, DoubleColMultiplyDoubleScalar(col 5:double, val -257.0) -> 15:double, DoubleColAddDoubleColumn(col 16:float, col 4:float)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 16:float) -> 17:float, DoubleColAddDoubleColumn(col 16:double, col 18:double)(children: DoubleColUnaryMinus(col 5:double) -> 16:double, CastLongToDouble(col 3:bigint) -> 18:double) -> 19:double, DoubleColUnaryMinus(col 5:double) -> 16:double, DoubleScalarSubtractDoubleColumn(val -1.3890000581741333, col 4:float) -> 18:float, DoubleColUnaryMinus(col 4:float) -> 20:float, DoubleColAddDoubleColumn(col 21:double, col 23:double)(children: DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 21:double, col 23:float) -> 22:double
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: timestamp), _col1 (type: double), _col2 (type: boolean), _col3 (type: string), _col4 (type: float), _col5 (type: double), _col6 (type: double), _col7 (type: double), _col8 (type: float), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: float), _col13 (type: double)
+ sort order: ++++++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey1 (type: double), KEY.reducesinkkey2 (type: boolean), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: float), KEY.reducesinkkey5 (type: double), KEY.reducesinkkey6 (type: double), KEY.reducesinkkey7 (type: double), KEY.reducesinkkey8 (type: float), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey5 (type: double), KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: float), KEY.reducesinkkey13 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 12.503)
+ AND (ctimestamp2 != 11.998)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 12.503)
+ AND (ctimestamp2 != 11.998)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+1969-12-31 15:59:30.929 -200.0 NULL NULL 12.0 200.0 -5438.15 51400.0 NULL 2.128824065E9 200.0 -13.389 -12.0 NULL
+1969-12-31 15:59:30.929 -200.0 NULL NULL 42.0 200.0 -5438.15 51400.0 NULL -5.78935585E8 200.0 -43.389 -42.0 NULL
+1969-12-31 15:59:30.929 -7196.0 NULL NULL 49.0 7196.0 1557.8500000000004 1849372.0 NULL 1.948230809E9 7196.0 -50.389 -49.0 NULL
+1969-12-31 15:59:30.929 15601.0 NULL NULL -54.0 -15601.0 -21239.15 -4009457.0 NULL -1.114185408E9 -15601.0 52.611 54.0 NULL
+1969-12-31 15:59:43.628 -200.0 NULL NULL 23.0 200.0 -5438.15 51400.0 NULL 2.034056161E9 200.0 -24.389 -23.0 NULL
+1969-12-31 15:59:43.637 -7196.0 NULL NULL -44.0 7196.0 1557.8500000000004 1849372.0 NULL 1.100301451E9 7196.0 42.611 44.0 NULL
+1969-12-31 15:59:43.64 -7196.0 NULL NULL -51.0 7196.0 1557.8500000000004 1849372.0 NULL -1.339157623E9 7196.0 49.611 51.0 NULL
+1969-12-31 15:59:43.661 -200.0 NULL NULL 13.0 200.0 -5438.15 51400.0 NULL -6.8063459E7 200.0 -14.389 -13.0 NULL
+1969-12-31 15:59:43.676 -200.0 NULL NULL -10.0 200.0 -5438.15 51400.0 NULL 8.34296111E8 200.0 8.611 10.0 NULL
+1969-12-31 15:59:43.705 15601.0 NULL NULL -12.0 -15601.0 -21239.15 -4009457.0 NULL 5.95398978E8 -15601.0 10.611 12.0 NULL
+1969-12-31 15:59:43.709 15601.0 NULL NULL 61.0 -15601.0 -21239.15 -4009457.0 NULL -1.55652257E8 -15601.0 -62.389 -61.0 NULL
+1969-12-31 15:59:43.72 -200.0 NULL NULL -18.0 200.0 -5438.15 51400.0 NULL 1.809037075E9 200.0 16.611 18.0 NULL
+1969-12-31 15:59:43.721 15601.0 NULL NULL 57.0 -15601.0 -21239.15 -4009457.0 NULL -1.465672807E9 -15601.0 -58.389 -57.0 NULL
+1969-12-31 15:59:43.749 -7196.0 NULL NULL -39.0 7196.0 1557.8500000000004 1849372.0 NULL 3.96436076E8 7196.0 37.611 39.0 NULL
+1969-12-31 15:59:43.771 15601.0 NULL NULL 49.0 -15601.0 -21239.15 -4009457.0 NULL -1.10733693E9 -15601.0 -50.389 -49.0 NULL
+1969-12-31 15:59:43.773 -200.0 NULL NULL -24.0 200.0 -5438.15 51400.0 NULL -1.046049502E9 200.0 22.611 24.0 NULL
+1969-12-31 15:59:43.782 -7196.0 NULL NULL 51.0 7196.0 1557.8500000000004 1849372.0 NULL -1.607339819E9 7196.0 -52.389 -51.0 NULL
+1969-12-31 15:59:43.783 -200.0 NULL NULL -11.0 200.0 -5438.15 51400.0 NULL 1.2116287E7 200.0 9.611 11.0 NULL
+1969-12-31 15:59:43.807 -7196.0 NULL NULL 42.0 7196.0 1557.8500000000004 1849372.0 NULL -5.98226333E8 7196.0 -43.389 -42.0 NULL
+1969-12-31 15:59:43.82 -7196.0 NULL NULL -30.0 7196.0 1557.8500000000004 1849372.0 NULL 1.329550715E9 7196.0 28.611 30.0 NULL
[12/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_12.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_12.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_12.q.out
new file mode 100644
index 0000000..c624806
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_12.q.out
@@ -0,0 +1,835 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cbigint,
+ cboolean1,
+ cstring1,
+ ctimestamp1,
+ cdouble,
+ (-6432 * cdouble),
+ (-(cbigint)),
+ COUNT(cbigint),
+ (cbigint * COUNT(cbigint)),
+ STDDEV_SAMP(cbigint),
+ ((-6432 * cdouble) / -6432),
+ (-(((-6432 * cdouble) / -6432))),
+ AVG(cdouble),
+ (-((-6432 * cdouble))),
+ (-5638.15 + cbigint),
+ SUM(cbigint),
+ (AVG(cdouble) / (-6432 * cdouble)),
+ AVG(cdouble),
+ (-((-(((-6432 * cdouble) / -6432))))),
+ (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))),
+ STDDEV_POP(cdouble)
+FROM alltypesparquet
+WHERE (((ctimestamp1 IS NULL)
+ AND ((cboolean1 >= cboolean2)
+ OR (ctinyint != csmallint)))
+ AND ((cstring1 LIKE '%a')
+ OR ((cboolean2 <= 1)
+ AND (cbigint >= csmallint))))
+GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble
+ORDER BY ctimestamp1, cdouble, cbigint, cstring1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cbigint,
+ cboolean1,
+ cstring1,
+ ctimestamp1,
+ cdouble,
+ (-6432 * cdouble),
+ (-(cbigint)),
+ COUNT(cbigint),
+ (cbigint * COUNT(cbigint)),
+ STDDEV_SAMP(cbigint),
+ ((-6432 * cdouble) / -6432),
+ (-(((-6432 * cdouble) / -6432))),
+ AVG(cdouble),
+ (-((-6432 * cdouble))),
+ (-5638.15 + cbigint),
+ SUM(cbigint),
+ (AVG(cdouble) / (-6432 * cdouble)),
+ AVG(cdouble),
+ (-((-(((-6432 * cdouble) / -6432))))),
+ (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))),
+ STDDEV_POP(cdouble)
+FROM alltypesparquet
+WHERE (((ctimestamp1 IS NULL)
+ AND ((cboolean1 >= cboolean2)
+ OR (ctinyint != csmallint)))
+ AND ((cstring1 LIKE '%a')
+ OR ((cboolean2 <= 1)
+ AND (cbigint >= csmallint))))
+GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble
+ORDER BY ctimestamp1, cdouble, cbigint, cstring1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 2)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNull(col 8:timestamp), FilterExprOrExpr(children: FilterLongColGreaterEqualLongColumn(col 10:boolean, col 11:boolean), FilterLongColNotEqualLongColumn(col 0:smallint, col 1:smallint)(children: col 0:tinyint)), FilterExprOrExpr(children: FilterStringColLikeStringScalar(col 6:string, pattern %a), FilterExprAndExpr(children: FilterLongColLessEqualLongScalar(col 11:boolean, val 1), FilterLongColGreaterEqualLongColumn(col 3:bigint, col 1:bigint)(children: col 1:smallint))))
+ predicate: (((cboolean1 >= cboolean2) or (UDFToShort(ctinyint) <> csmallint)) and ((cstring1 like '%a') or ((cboolean2 <= 1) and (cbigint >= UDFToLong(csmallint)))) and ctimestamp1 is null) (type: boolean)
+ Statistics: Num rows: 3754 Data size: 45048 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cbigint (type: bigint), cdouble (type: double), cstring1 (type: string), cboolean1 (type: boolean)
+ outputColumnNames: cbigint, cdouble, cstring1, cboolean1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 5, 6, 10]
+ Statistics: Num rows: 3754 Data size: 45048 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(cbigint), stddev_samp(cbigint), avg(cdouble), sum(cbigint), stddev_pop(cdouble)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 3:bigint) -> bigint, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFAvgDouble(col 5:double) -> struct<count:bigint,sum:double,input:double>, VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:double, col 3:bigint, col 6:string, col 10:boolean
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
+ keys: cdouble (type: double), cbigint (type: bigint), cstring1 (type: string), cboolean1 (type: boolean)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Statistics: Num rows: 3754 Data size: 45048 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double), _col1 (type: bigint), _col2 (type: string), _col3 (type: boolean)
+ sort order: ++++
+ Map-reduce partition columns: _col0 (type: double), _col1 (type: bigint), _col2 (type: string), _col3 (type: boolean)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ keyColumnNums: [0, 1, 2, 3]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [4, 5, 6, 7, 8]
+ Statistics: Num rows: 3754 Data size: 45048 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col4 (type: bigint), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,input:double>), _col7 (type: bigint), _col8 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 3, 5, 6, 8, 10, 11]
+ 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: []
+ 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
+ reduceColumnNullOrder: aaaa
+ reduceColumnSortOrder: ++++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 9
+ dataColumns: KEY._col0:double, KEY._col1:bigint, KEY._col2:string, KEY._col3:boolean, VALUE._col0:bigint, VALUE._col1:struct<count:bigint,sum:double,variance:double>, VALUE._col2:struct<count:bigint,sum:double,input:double>, VALUE._col3:bigint, VALUE._col4:struct<count:bigint,sum:double,variance:double>
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0), stddev_samp(VALUE._col1), avg(VALUE._col2), sum(VALUE._col3), stddev_pop(VALUE._col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 4:bigint) -> bigint, VectorUDAFVarFinal(col 5:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_samp, VectorUDAFAvgFinal(col 6:struct<count:bigint,sum:double,input:double>) -> double, VectorUDAFSumLong(col 7:bigint) -> bigint, VectorUDAFVarFinal(col 8:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_pop
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:double, col 1:bigint, col 2:string, col 3:boolean
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
+ keys: KEY._col0 (type: double), KEY._col1 (type: bigint), KEY._col2 (type: string), KEY._col3 (type: boolean)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Statistics: Num rows: 1877 Data size: 22524 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: bigint), _col3 (type: boolean), _col2 (type: string), _col0 (type: double), (-6432.0 * _col0) (type: double), (- _col1) (type: bigint), _col4 (type: bigint), (_col1 * _col4) (type: bigint), _col5 (type: double), ((-6432.0 * _col0) / -6432.0) (type: double), (- ((-6432.0 * _col0) / -6432.0)) (type: double), _col6 (type: double), (- (-6432.0 * _col0)) (type: double), (-5638.15 + CAST( _col1 AS decimal(19,0))) (type: decimal(22,2)), _col7 (type: bigint), (_col6 / (-6432.0 * _col0)) (type: double), (- (- ((-6432.0 * _col0) / -6432.0))) (type: double), (((-6432.0 * _col0) / -6432.0) + (- (-6432.0 * _col0))) (type: double), _col8 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col17, _col18, _col19
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 3, 2, 0, 9, 10, 4, 11, 5, 13, 12, 6, 15, 17, 7, 18, 19, 14, 8]
+ selectExpressions: DoubleScalarMultiplyDoubleColumn(val -6432.0, col 0:double) -> 9:double, LongColUnaryMinus(col 1:bigint) -> 10:bigint, LongColMultiplyLongColumn(col 1:bigint, col 4:bigint) -> 11:bigint, DoubleColDivideDoubleScalar(col 12:double, val -6432.0)(children: DoubleScalarMultiplyDoubleColumn(val -6432.0, col 0:double) -> 12:double) -> 13:double, DoubleColUnaryMinus(col 14:double)(children: DoubleColDivideDoubleScalar(col 12:double, val -6432.0)(children: DoubleScalarMultiplyDoubleColumn(val -6432.0, col 0:double) -> 12:double) -> 14:double) -> 12:double, DoubleColUnaryMinus(col 14:double)(children: DoubleScalarMultiplyDoubleColumn(val -6432.0, col 0:double) -> 14:double) -> 15:double, DecimalScalarAddDecimalColumn(val -5638.15, col 16:decimal(19,0))(children: CastLongToDecimal(col 1:bigint) -> 16:decimal(19,0)) -> 17:decimal(22,2), DoubleColDivideDoubleColumn(col 6:double, col 14:double)(children: DoubleScalarMultiplyDoubleColumn(val -6432.0, col 0:
double) -> 14:double) -> 18:double, DoubleColUnaryMinus(col 14:double)(children: DoubleColUnaryMinus(col 19:double)(children: DoubleColDivideDoubleScalar(col 14:double, val -6432.0)(children: DoubleScalarMultiplyDoubleColumn(val -6432.0, col 0:double) -> 14:double) -> 19:double) -> 14:double) -> 19:double, DoubleColAddDoubleColumn(col 20:double, col 21:double)(children: DoubleColDivideDoubleScalar(col 14:double, val -6432.0)(children: DoubleScalarMultiplyDoubleColumn(val -6432.0, col 0:double) -> 14:double) -> 20:double, DoubleColUnaryMinus(col 14:double)(children: DoubleScalarMultiplyDoubleColumn(val -6432.0, col 0:double) -> 14:double) -> 21:double) -> 14:double
+ Statistics: Num rows: 1877 Data size: 22524 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col3 (type: double), _col0 (type: bigint), _col2 (type: string)
+ sort order: +++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0, 1, 2]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [3, 9, 10, 4, 11, 5, 13, 12, 6, 15, 17, 7, 18, 19, 14, 8]
+ Statistics: Num rows: 1877 Data size: 22524 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: boolean), _col4 (type: double), _col5 (type: bigint), _col6 (type: bigint), _col7 (type: bigint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: double), _col12 (type: double), _col13 (type: decimal(22,2)), _col14 (type: bigint), _col15 (type: double), _col17 (type: double), _col18 (type: double), _col19 (type: double)
+ 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
+ reduceColumnNullOrder: aaa
+ reduceColumnSortOrder: +++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 19
+ dataColumns: KEY.reducesinkkey0:double, KEY.reducesinkkey1:bigint, KEY.reducesinkkey2:string, VALUE._col0:boolean, VALUE._col1:double, VALUE._col2:bigint, VALUE._col3:bigint, VALUE._col4:bigint, VALUE._col5:double, VALUE._col6:double, VALUE._col7:double, VALUE._col8:double, VALUE._col9:double, VALUE._col10:decimal(22,2), VALUE._col11:bigint, VALUE._col12:double, VALUE._col13:double, VALUE._col14:double, VALUE._col15:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: [timestamp]
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey1 (type: bigint), VALUE._col0 (type: boolean), KEY.reducesinkkey2 (type: string), null (type: timestamp), KEY.reducesinkkey0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: bigint), VALUE._col3 (type: bigint), VALUE._col4 (type: bigint), VALUE._col5 (type: double), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: double), VALUE._col9 (type: double), VALUE._col10 (type: decimal(22,2)), VALUE._col11 (type: bigint), VALUE._col12 (type: double), VALUE._col8 (type: double), VALUE._col13 (type: double), VALUE._col14 (type: double), VALUE._col15 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 3, 2, 19, 0, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 11, 16, 17, 18]
+ selectExpressions: ConstantVectorExpression(val null) -> 19:timestamp
+ Statistics: Num rows: 1877 Data size: 22524 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 1877 Data size: 22524 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cbigint,
+ cboolean1,
+ cstring1,
+ ctimestamp1,
+ cdouble,
+ (-6432 * cdouble),
+ (-(cbigint)),
+ COUNT(cbigint),
+ (cbigint * COUNT(cbigint)),
+ STDDEV_SAMP(cbigint),
+ ((-6432 * cdouble) / -6432),
+ (-(((-6432 * cdouble) / -6432))),
+ AVG(cdouble),
+ (-((-6432 * cdouble))),
+ (-5638.15 + cbigint),
+ SUM(cbigint),
+ (AVG(cdouble) / (-6432 * cdouble)),
+ AVG(cdouble),
+ (-((-(((-6432 * cdouble) / -6432))))),
+ (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))),
+ STDDEV_POP(cdouble)
+FROM alltypesparquet
+WHERE (((ctimestamp1 IS NULL)
+ AND ((cboolean1 >= cboolean2)
+ OR (ctinyint != csmallint)))
+ AND ((cstring1 LIKE '%a')
+ OR ((cboolean2 <= 1)
+ AND (cbigint >= csmallint))))
+GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble
+ORDER BY ctimestamp1, cdouble, cbigint, cstring1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cbigint,
+ cboolean1,
+ cstring1,
+ ctimestamp1,
+ cdouble,
+ (-6432 * cdouble),
+ (-(cbigint)),
+ COUNT(cbigint),
+ (cbigint * COUNT(cbigint)),
+ STDDEV_SAMP(cbigint),
+ ((-6432 * cdouble) / -6432),
+ (-(((-6432 * cdouble) / -6432))),
+ AVG(cdouble),
+ (-((-6432 * cdouble))),
+ (-5638.15 + cbigint),
+ SUM(cbigint),
+ (AVG(cdouble) / (-6432 * cdouble)),
+ AVG(cdouble),
+ (-((-(((-6432 * cdouble) / -6432))))),
+ (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))),
+ STDDEV_POP(cdouble)
+FROM alltypesparquet
+WHERE (((ctimestamp1 IS NULL)
+ AND ((cboolean1 >= cboolean2)
+ OR (ctinyint != csmallint)))
+ AND ((cstring1 LIKE '%a')
+ OR ((cboolean2 <= 1)
+ AND (cbigint >= csmallint))))
+GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble
+ORDER BY ctimestamp1, cdouble, cbigint, cstring1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1645852809 false DUSKf88a NULL 6764.0 -4.3506048E7 1645852809 1 -1645852809 NULL 6764.0 -6764.0 6764.0 4.3506048E7 -1645858447.15 -1645852809 -1.554726368159204E-4 6764.0 6764.0 4.3512812E7 0.0
+-1645852809 false G7Ve8Px6a7J0DafBodF8JMma NULL -1291.0 8303712.0 1645852809 1 -1645852809 NULL -1291.0 1291.0 -1291.0 -8303712.0 -1645858447.15 -1645852809 -1.554726368159204E-4 -1291.0 -1291.0 -8305003.0 0.0
+-1645852809 false K7tGy146ydka NULL -1236.0 7949952.0 1645852809 1 -1645852809 NULL -1236.0 1236.0 -1236.0 -7949952.0 -1645858447.15 -1645852809 -1.554726368159204E-4 -1236.0 -1236.0 -7951188.0 0.0
+-1645852809 false OHG2wWD83Ba NULL 6914.0 -4.4470848E7 1645852809 1 -1645852809 NULL 6914.0 -6914.0 6914.0 4.4470848E7 -1645858447.15 -1645852809 -1.554726368159204E-4 6914.0 6914.0 4.4477762E7 0.0
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<TRUNCATED>
[23/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_14.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_14.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_14.q.out
new file mode 100644
index 0000000..f127434
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_14.q.out
@@ -0,0 +1,910 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT ctimestamp1,
+ cfloat,
+ cstring1,
+ cboolean1,
+ cdouble,
+ (-26.28 + cdouble),
+ (-((-26.28 + cdouble))),
+ STDDEV_SAMP((-((-26.28 + cdouble)))),
+ (cfloat * -26.28),
+ MAX(cfloat),
+ (-(cfloat)),
+ (-(MAX(cfloat))),
+ ((-((-26.28 + cdouble))) / 10.175),
+ STDDEV_POP(cfloat),
+ COUNT(cfloat),
+ (-(((-((-26.28 + cdouble))) / 10.175))),
+ (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))),
+ (cfloat - cdouble),
+ VAR_POP(cfloat),
+ (VAR_POP(cfloat) % 10.175),
+ VAR_SAMP(cfloat),
+ (-((cfloat - cdouble)))
+FROM alltypesparquet
+WHERE (((ctinyint <= cbigint)
+ AND ((cint <= cdouble)
+ OR (ctimestamp2 < ctimestamp1)))
+ AND ((cdouble < ctinyint)
+ AND ((cbigint > -257)
+ OR (cfloat < cint))))
+GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble
+ORDER BY cstring1, cfloat, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT ctimestamp1,
+ cfloat,
+ cstring1,
+ cboolean1,
+ cdouble,
+ (-26.28 + cdouble),
+ (-((-26.28 + cdouble))),
+ STDDEV_SAMP((-((-26.28 + cdouble)))),
+ (cfloat * -26.28),
+ MAX(cfloat),
+ (-(cfloat)),
+ (-(MAX(cfloat))),
+ ((-((-26.28 + cdouble))) / 10.175),
+ STDDEV_POP(cfloat),
+ COUNT(cfloat),
+ (-(((-((-26.28 + cdouble))) / 10.175))),
+ (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))),
+ (cfloat - cdouble),
+ VAR_POP(cfloat),
+ (VAR_POP(cfloat) % 10.175),
+ VAR_SAMP(cfloat),
+ (-((cfloat - cdouble)))
+FROM alltypesparquet
+WHERE (((ctinyint <= cbigint)
+ AND ((cint <= cdouble)
+ OR (ctimestamp2 < ctimestamp1)))
+ AND ((cdouble < ctinyint)
+ AND ((cbigint > -257)
+ OR (cfloat < cint))))
+GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble
+ORDER BY cstring1, cfloat, cdouble, ctimestamp1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColLessEqualLongColumn(col 0:bigint, col 3:bigint)(children: col 0:tinyint), FilterExprOrExpr(children: FilterDoubleColLessEqualDoubleColumn(col 13:double, col 5:double)(children: CastLongToDouble(col 2:int) -> 13:double), FilterTimestampColLessTimestampColumn(col 9:timestamp, col 8:timestamp)), FilterDoubleColLessDoubleColumn(col 5:double, col 13:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), FilterExprOrExpr(children: FilterLongColGreaterLongScalar(col 3:bigint, val -257), FilterDoubleColLessDoubleColumn(col 4:float, col 13:float)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 13:float)))
+ predicate: (((UDFToDouble(cint) <= cdouble) or (ctimestamp2 < ctimestamp1)) and ((cbigint > -257) or (cfloat < UDFToFloat(cint))) and (UDFToLong(ctinyint) <= cbigint) and (cdouble < UDFToDouble(ctinyint))) (type: boolean)
+ Statistics: Num rows: 606 Data size: 7272 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctimestamp1 (type: timestamp), cfloat (type: float), cstring1 (type: string), cboolean1 (type: boolean), cdouble (type: double), (- (-26.28 + cdouble)) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [8, 4, 6, 10, 5, 14]
+ selectExpressions: DoubleColUnaryMinus(col 13:double)(children: DoubleScalarAddDoubleColumn(val -26.28, col 5:double) -> 13:double) -> 14:double
+ Statistics: Num rows: 606 Data size: 7272 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: stddev_samp(_col5), max(_col1), stddev_pop(_col1), count(_col1), var_pop(_col1), var_samp(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarDouble(col 14:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFMaxDouble(col 4:float) -> float, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFCount(col 4:float) -> bigint, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: var_samp
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 6:string, col 4:float, col 5:double, col 8:timestamp, col 10:boolean
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: _col2 (type: string), _col1 (type: float), _col4 (type: double), _col0 (type: timestamp), _col3 (type: boolean)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 606 Data size: 7272 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string), _col1 (type: float), _col2 (type: double), _col3 (type: timestamp), _col4 (type: boolean)
+ sort order: +++++
+ Map-reduce partition columns: _col0 (type: string), _col1 (type: float), _col2 (type: double), _col3 (type: timestamp), _col4 (type: boolean)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 606 Data size: 7272 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: float), _col7 (type: struct<count:bigint,sum:double,variance:double>), _col8 (type: bigint), _col9 (type: struct<count:bigint,sum:double,variance:double>), _col10 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 2, 3, 4, 5, 6, 8, 9, 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: [double, double]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: stddev_samp(VALUE._col0), max(VALUE._col1), stddev_pop(VALUE._col2), count(VALUE._col3), var_pop(VALUE._col4), var_samp(VALUE._col5)
+ keys: KEY._col0 (type: string), KEY._col1 (type: float), KEY._col2 (type: double), KEY._col3 (type: timestamp), KEY._col4 (type: boolean)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 303 Data size: 3636 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col3 (type: timestamp), _col1 (type: float), _col0 (type: string), _col4 (type: boolean), _col2 (type: double), (-26.28 + _col2) (type: double), (- (-26.28 + _col2)) (type: double), _col5 (type: double), (_col1 * -26.28) (type: float), _col6 (type: float), (- _col1) (type: float), (- _col6) (type: float), ((- (-26.28 + _col2)) / 10.175) (type: double), _col7 (type: double), _col8 (type: bigint), (- ((- (-26.28 + _col2)) / 10.175)) (type: double), (-1.389 % _col5) (type: double), (UDFToDouble(_col1) - _col2) (type: double), _col9 (type: double), (_col9 % 10.175) (type: double), _col10 (type: double), (- (UDFToDouble(_col1) - _col2)) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21
+ Statistics: Num rows: 303 Data size: 3636 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:timestamp, 1:_col1:float, 2:_col2:string, 3:_col3:boolean, 4:_col4:double, 5:_col5:double, 6:_col6:double, 7:_col7:double, 8:_col8:float, 9:_col9:float, 10:_col10:float, 11:_col11:float, 12:_col12:double, 13:_col13:double, 14:_col14:bigint, 15:_col15:double, 16:_col16:double, 17:_col17:double, 18:_col18:double, 19:_col19:double, 20:_col20:double, 21:_col21:double]
+ Reduce Output Operator
+ key expressions: _col2 (type: string), _col1 (type: float), _col4 (type: double), _col0 (type: timestamp)
+ sort order: ++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 303 Data size: 3636 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col3 (type: boolean), _col5 (type: double), _col6 (type: double), _col7 (type: double), _col8 (type: float), _col9 (type: float), _col10 (type: float), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: bigint), _col15 (type: double), _col16 (type: double), _col17 (type: double), _col18 (type: double), _col19 (type: double), _col20 (type: double), _col21 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 22
+ includeColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]
+ dataColumns: _col0:timestamp, _col1:float, _col2:string, _col3:boolean, _col4:double, _col5:double, _col6:double, _col7:double, _col8:float, _col9:float, _col10:float, _col11:float, _col12:double, _col13:double, _col14:bigint, _col15:double, _col16:double, _col17:double, _col18:double, _col19:double, _col20:double, _col21:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey3 (type: timestamp), KEY.reducesinkkey1 (type: float), KEY.reducesinkkey0 (type: string), VALUE._col0 (type: boolean), KEY.reducesinkkey2 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: float), VALUE._col5 (type: float), VALUE._col6 (type: float), VALUE._col7 (type: float), VALUE._col8 (type: double), VALUE._col9 (type: double), VALUE._col10 (type: bigint), VALUE._col11 (type: double), VALUE._col12 (type: double), VALUE._col13 (type: double), VALUE._col14 (type: double), VALUE._col15 (type: double), VALUE._col16 (type: double), VALUE._col17 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21
+ Statistics: Num rows: 303 Data size: 3636 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 303 Data size: 3636 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT ctimestamp1,
+ cfloat,
+ cstring1,
+ cboolean1,
+ cdouble,
+ (-26.28 + cdouble),
+ (-((-26.28 + cdouble))),
+ STDDEV_SAMP((-((-26.28 + cdouble)))),
+ (cfloat * -26.28),
+ MAX(cfloat),
+ (-(cfloat)),
+ (-(MAX(cfloat))),
+ ((-((-26.28 + cdouble))) / 10.175),
+ STDDEV_POP(cfloat),
+ COUNT(cfloat),
+ (-(((-((-26.28 + cdouble))) / 10.175))),
+ (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))),
+ (cfloat - cdouble),
+ VAR_POP(cfloat),
+ (VAR_POP(cfloat) % 10.175),
+ VAR_SAMP(cfloat),
+ (-((cfloat - cdouble)))
+FROM alltypesparquet
+WHERE (((ctinyint <= cbigint)
+ AND ((cint <= cdouble)
+ OR (ctimestamp2 < ctimestamp1)))
+ AND ((cdouble < ctinyint)
+ AND ((cbigint > -257)
+ OR (cfloat < cint))))
+GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble
+ORDER BY cstring1, cfloat, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT ctimestamp1,
+ cfloat,
+ cstring1,
+ cboolean1,
+ cdouble,
+ (-26.28 + cdouble),
+ (-((-26.28 + cdouble))),
+ STDDEV_SAMP((-((-26.28 + cdouble)))),
+ (cfloat * -26.28),
+ MAX(cfloat),
+ (-(cfloat)),
+ (-(MAX(cfloat))),
+ ((-((-26.28 + cdouble))) / 10.175),
+ STDDEV_POP(cfloat),
+ COUNT(cfloat),
+ (-(((-((-26.28 + cdouble))) / 10.175))),
+ (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))),
+ (cfloat - cdouble),
+ VAR_POP(cfloat),
+ (VAR_POP(cfloat) % 10.175),
+ VAR_SAMP(cfloat),
+ (-((cfloat - cdouble)))
+FROM alltypesparquet
+WHERE (((ctinyint <= cbigint)
+ AND ((cint <= cdouble)
+ OR (ctimestamp2 < ctimestamp1)))
+ AND ((cdouble < ctinyint)
+ AND ((cbigint > -257)
+ OR (cfloat < cint))))
+GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble
+ORDER BY cstring1, cfloat, cdouble, ctimestamp1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+1969-12-31 15:59:55.491 50.0 NULL NULL -200.0 -226.28 226.28 NULL -1314.0 50.0 -50.0 -50.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 250.0 0.0 0.0 NULL -250.0
+1969-12-31 15:59:55.508 31.0 NULL NULL -200.0 -226.28 226.28 NULL -814.68 31.0 -31.0 -31.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 231.0 0.0 0.0 NULL -231.0
+1969-12-31 15:59:55.747 -3.0 NULL NULL -200.0 -226.28 226.28 NULL 78.840004 -3.0 3.0 3.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 197.0 0.0 0.0 NULL -197.0
+1969-12-31 15:59:55.796 -43.0 NULL NULL -200.0 -226.28 226.28 NULL 1130.04 -43.0 43.0 43.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 157.0 0.0 0.0 NULL -157.0
+1969-12-31 15:59:55.799 19.0 NULL NULL -200.0 -226.28 226.28 NULL -499.32 19.0 -19.0 -19.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 219.0 0.0 0.0 NULL -219.0
+1969-12-31 15:59:55.982 4.0 NULL NULL -200.0 -226.28 226.28 NULL -105.12 4.0 -4.0 -4.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 204.0 0.0 0.0 NULL -204.0
+1969-12-31 15:59:56.099 19.0 NULL NULL -200.0 -226.28 226.28 NULL -499.32 19.0 -19.0 -19.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 219.0 0.0 0.0 NULL -219.0
+1969-12-31 15:59:56.131 26.0 NULL NULL -200.0 -226.28 226.28 NULL -683.28 26.0 -26.0 -26.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 226.0 0.0 0.0 NULL -226.0
+1969-12-31 15:59:56.14 61.0 NULL NULL -200.0 -226.28 226.28 NULL -1603.0801 61.0 -61.0 -61.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 261.0 0.0 0.0 NULL -261.0
+1969-12-31 15:59:56.159 -49.0 NULL NULL -200.0 -226.28 226.28 NULL 1287.7201 -49.0 49.0 49.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 151.0 0.0 0.0 NULL -151.0
+1969-12-31 15:59:56.174 -36.0 NULL NULL -200.0 -226.28 226.28 NULL 946.08 -36.0 36.0 36.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 164.0 0.0 0.0 NULL -164.0
+1969-12-31 15:59:56.197 -42.0 NULL NULL -200.0 -226.28 226.28 NULL 1103.76 -42.0 42.0 42.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 158.0 0.0 0.0 NULL -158.0
+1969-12-31 15:59:56.218 -4.0 NULL NULL -200.0 -226.28 226.28 NULL 105.12 -4.0 4.0 4.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 196.0 0.0 0.0 NULL -196.0
+1969-12-31 15:59:56.276 -60.0 NULL NULL -200.0 -226.28 226.28 NULL 1576.8 -60.0 60.0 60.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 140.0 0.0 0.0 NULL -140.0
+1969-12-31 15:59:56.319 -5.0 NULL NULL -200.0 -226.28 226.28 NULL 131.40001 -5.0 5.0 5.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 195.0 0.0 0.0 NULL -195.0
+1969-12-31 15:59:56.345 54.0 NULL NULL -200.0 -226.28 226.28 NULL -1419.12 54.0 -54.0 -54.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 254.0 0.0 0.0 NULL -254.0
+1969-12-31 15:59:56.414 -23.0 NULL NULL -200.0 -226.28 226.28 NULL 604.44 -23.0 23.0 23.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 177.0 0.0 0.0 NULL -177.0
+1969-12-31 15:59:56.436 -33.0 NULL NULL -200.0 -226.28 226.28 NULL 867.24005 -33.0 33.0 33.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 167.0 0.0 0.0 NULL -167.0
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+1969-12-31 15:59:56.691 41.0 NULL NULL -200.0 -226.28 226.28 NULL -1077.48 41.0 -41.0 -41.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 241.0 0.0 0.0 NULL -241.0
+1969-12-31 15:59:56.769 -38.0 NULL NULL -200.0 -226.28 226.28 NULL 998.64 -38.0 38.0 38.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 162.0 0.0 0.0 NULL -162.0
+1969-12-31 15:59:56.776 55.0 NULL NULL -200.0 -226.28 226.28 NULL -1445.4 55.0 -55.0 -55.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 255.0 0.0 0.0 NULL -255.0
+1969-12-31 15:59:56.795 28.0 NULL NULL -200.0 -226.28 226.28 NULL -735.84 28.0 -28.0 -28.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 228.0 0.0 0.0 NULL -228.0
+1969-12-31 15:59:56.929 61.0 NULL NULL -200.0 -226.28 226.28 NULL -1603.0801 61.0 -61.0 -61.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 261.0 0.0 0.0 NULL -261.0
+1969-12-31 15:59:56.969 -57.0 NULL NULL -200.0 -226.28 226.28 NULL 1497.9601 -57.0 57.0 57.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 143.0 0.0 0.0 NULL -143.0
+1969-12-31 15:59:57.027 -39.0 NULL NULL -200.0 -226.28 226.28 NULL 1024.92 -39.0 39.0 39.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 161.0 0.0 0.0 NULL -161.0
+1969-12-31 15:59:57.048 9.0 NULL NULL -200.0 -226.28 226.28 NULL -236.52 9.0 -9.0 -9.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 209.0 0.0 0.0 NULL -209.0
+1969-12-31 15:59:57.063 8.0 NULL NULL -200.0 -226.28 226.28 NULL -210.24 8.0 -8.0 -8.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 208.0 0.0 0.0 NULL -208.0
+1969-12-31 15:59:57.118 37.0 NULL NULL -200.0 -226.28 226.28 NULL -972.36005 37.0 -37.0 -37.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 237.0 0.0 0.0 NULL -237.0
+1969-12-31 15:59:57.21 -42.0 NULL NULL -200.0 -226.28 226.28 NULL 1103.76 -42.0 42.0 42.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 158.0 0.0 0.0 NULL -158.0
+1969-12-31 15:59:57.245 16.0 NULL NULL -200.0 -226.28 226.28 NULL -420.48 16.0 -16.0 -16.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 216.0 0.0 0.0 NULL -216.0
+1969-12-31 15:59:57.256 -48.0 NULL NULL -200.0 -226.28 226.28 NULL 1261.4401 -48.0 48.0 48.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 152.0 0.0 0.0 NULL -152.0
+1969-12-31 15:59:57.269 -4.0 NULL NULL -200.0 -226.28 226.28 NULL 105.12 -4.0 4.0 4.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 196.0 0.0 0.0 NULL -196.0
+1969-12-31 15:59:57.273 -6.0 NULL NULL -200.0 -226.28 226.28 NULL 157.68001 -6.0 6.0 6.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 194.0 0.0 0.0 NULL -194.0
+1969-12-31 15:59:57.349 -56.0 NULL NULL -200.0 -226.28 226.28 NULL 1471.68 -56.0 56.0 56.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 144.0 0.0 0.0 NULL -144.0
+1969-12-31 15:59:57.369 -54.0 NULL NULL -200.0 -226.28 226.28 NULL 1419.12 -54.0 54.0 54.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 146.0 0.0 0.0 NULL -146.0
+1969-12-31 15:59:57.434 54.0 NULL NULL -200.0 -226.28 226.28 NULL -1419.12 54.0 -54.0 -54.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 254.0 0.0 0.0 NULL -254.0
+1969-12-31 15:59:57.528 -60.0 NULL NULL -200.0 -226.28 226.28 NULL 1576.8 -60.0 60.0 60.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 140.0 0.0 0.0 NULL -140.0
+1969-12-31 15:59:57.543 32.0 NULL NULL -200.0 -226.28 226.28 NULL -840.96 32.0 -32.0 -32.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 232.0 0.0 0.0 NULL -232.0
+1969-12-31 15:59:57.56 56.0 NULL NULL -200.0 -226.28 226.28 NULL -1471.68 56.0 -56.0 -56.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 256.0 0.0 0.0 NULL -256.0
+1969-12-31 15:59:57.568 6.0 NULL NULL -200.0 -226.28 226.28 NULL -157.68001 6.0 -6.0 -6.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 206.0 0.0 0.0 NULL -206.0
+1969-12-31 15:59:57.693 -63.0 NULL NULL -200.0 -226.28 226.28 NULL 1655.64 -63.0 63.0 63.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 137.0 0.0 0.0 NULL -137.0
+1969-12-31 15:59:57.747 -60.0 NULL NULL -200.0 -226.28 226.28 NULL 1576.8 -60.0 60.0 60.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 140.0 0.0 0.0 NULL -140.0
+1969-12-31 15:59:57.794 -5.0 NULL NULL -200.0 -226.28 226.28 NULL 131.40001 -5.0 5.0 5.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 195.0 0.0 0.0 NULL -195.0
+1969-12-31 15:59:57.828 -34.0 NULL NULL -200.0 -226.28 226.28 NULL 893.52 -34.0 34.0 34.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 166.0 0.0 0.0 NULL -166.0
+1969-12-31 15:59:57.847 50.0 NULL NULL -200.0 -226.28 226.28 NULL -1314.0 50.0 -50.0 -50.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 250.0 0.0 0.0 NULL -250.0
+1969-12-31 15:59:57.882 -29.0 NULL NULL -200.0 -226.28 226.28 NULL 762.12 -29.0 29.0 29.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 171.0 0.0 0.0 NULL -171.0
+1969-12-31 15:59:57.942 -40.0 NULL NULL -200.0 -226.28 226.28 NULL 1051.2001 -40.0 40.0 40.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 160.0 0.0 0.0 NULL -160.0
+1969-12-31 15:59:57.957 -6.0 NULL NULL -200.0 -226.28 226.28 NULL 157.68001 -6.0 6.0 6.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 194.0 0.0 0.0 NULL -194.0
+1969-12-31 15:59:57.965 -9.0 NULL NULL -200.0 -226.28 226.28 NULL 236.52 -9.0 9.0 9.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 191.0 0.0 0.0 NULL -191.0
+1969-12-31 15:59:58.046 -62.0 NULL NULL -200.0 -226.28 226.28 NULL 1629.36 -62.0 62.0 62.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 138.0 0.0 0.0 NULL -138.0
+1969-12-31 15:59:58.112 -54.0 NULL NULL -200.0 -226.28 226.28 NULL 1419.12 -54.0 54.0 54.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 146.0 0.0 0.0 NULL -146.0
+1969-12-31 15:59:58.129 37.0 NULL NULL -200.0 -226.28 226.28 NULL -972.36005 37.0 -37.0 -37.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 237.0 0.0 0.0 NULL -237.0
+1969-12-31 15:59:58.158 -53.0 NULL NULL -200.0 -226.28 226.28 NULL 1392.8401 -53.0 53.0 53.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 147.0 0.0 0.0 NULL -147.0
+1969-12-31 15:59:58.173 -17.0 NULL NULL -200.0 -226.28 226.28 NULL 446.76 -17.0 17.0 17.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 183.0 0.0 0.0 NULL -183.0
+1969-12-31 15:59:58.214 22.0 NULL NULL -7196.0 -7222.28 7222.28 NULL -578.16003 22.0 -22.0 -22.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7218.0 0.0 0.0 NULL -7218.0
+1969-12-31 15:59:58.245 -35.0 NULL NULL -200.0 -226.28 226.28 NULL 919.80005 -35.0 35.0 35.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 165.0 0.0 0.0 NULL -165.0
+1969-12-31 15:59:58.265 -8.0 NULL NULL -200.0 -226.28 226.28 NULL 210.24 -8.0 8.0 8.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 192.0 0.0 0.0 NULL -192.0
+1969-12-31 15:59:58.272 7.0 NULL NULL -200.0 -226.28 226.28 NULL -183.96 7.0 -7.0 -7.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 207.0 0.0 0.0 NULL -207.0
+1969-12-31 15:59:58.298 32.0 NULL NULL -200.0 -226.28 226.28 NULL -840.96 32.0 -32.0 -32.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 232.0 0.0 0.0 NULL -232.0
+1969-12-31 15:59:58.309 52.0 NULL NULL -7196.0 -7222.28 7222.28 NULL -1366.56 52.0 -52.0 -52.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7248.0 0.0 0.0 NULL -7248.0
+1969-12-31 15:59:58.455 57.0 NULL NULL -200.0 -226.28 226.28 NULL -1497.9601 57.0 -57.0 -57.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 257.0 0.0 0.0 NULL -257.0
+1969-12-31 15:59:58.463 -7.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 183.96 -7.0 7.0 7.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7189.0 0.0 0.0 NULL -7189.0
+1969-12-31 15:59:58.512 -20.0 NULL NULL -200.0 -226.28 226.28 NULL 525.60004 -20.0 20.0 20.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 180.0 0.0 0.0 NULL -180.0
+1969-12-31 15:59:58.544 -40.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 1051.2001 -40.0 40.0 40.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7156.0 0.0 0.0 NULL -7156.0
+1969-12-31 15:59:58.561 -17.0 NULL NULL -200.0 -226.28 226.28 NULL 446.76 -17.0 17.0 17.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 183.0 0.0 0.0 NULL -183.0
+1969-12-31 15:59:58.594 -23.0 NULL NULL -200.0 -226.28 226.28 NULL 604.44 -23.0 23.0 23.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 177.0 0.0 0.0 NULL -177.0
+1969-12-31 15:59:58.615 25.0 NULL NULL -7196.0 -7222.28 7222.28 NULL -657.0 25.0 -25.0 -25.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7221.0 0.0 0.0 NULL -7221.0
+1969-12-31 15:59:58.625 -6.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 157.68001 -6.0 6.0 6.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7190.0 0.0 0.0 NULL -7190.0
+1969-12-31 15:59:58.65 43.0 NULL NULL -200.0 -226.28 226.28 NULL -1130.04 43.0 -43.0 -43.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 243.0 0.0 0.0 NULL -243.0
+1969-12-31 15:59:58.788 24.0 NULL NULL -200.0 -226.28 226.28 NULL -630.72003 24.0 -24.0 -24.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 224.0 0.0 0.0 NULL -224.0
+1969-12-31 15:59:58.825 -9.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 236.52 -9.0 9.0 9.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7187.0 0.0 0.0 NULL -7187.0
+1969-12-31 15:59:58.863 -3.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 78.840004 -3.0 3.0 3.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7193.0 0.0 0.0 NULL -7193.0
+1969-12-31 15:59:58.893 -10.0 NULL NULL -200.0 -226.28 226.28 NULL 262.80002 -10.0 10.0 10.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 190.0 0.0 0.0 NULL -190.0
+1969-12-31 15:59:58.93 -22.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 578.16003 -22.0 22.0 22.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7174.0 0.0 0.0 NULL -7174.0
+1969-12-31 15:59:58.93 2.0 NULL NULL -200.0 -226.28 226.28 NULL -52.56 2.0 -2.0 -2.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 202.0 0.0 0.0 NULL -202.0
+1969-12-31 15:59:58.98 -33.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 867.24005 -33.0 33.0 33.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7163.0 0.0 0.0 NULL -7163.0
+1969-12-31 15:59:58.989 -10.0 NULL NULL -200.0 -226.28 226.28 NULL 262.80002 -10.0 10.0 10.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 190.0 0.0 0.0 NULL -190.0
+1969-12-31 16:00:00.019 4.0 NULL NULL -200.0 -226.28 226.28 NULL -105.12 4.0 -4.0 -4.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 204.0 0.0 0.0 NULL -204.0
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+1969-12-31 16:00:08.74 -58.0 NULL NULL -200.0 -226.28 226.28 NULL 1524.24 -58.0 58.0 58.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 142.0 0.0 0.0 NULL -142.0
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+1969-12-31 16:00:08.781 -6.0 NULL NULL -200.0 -226.28 226.28 NULL 157.68001 -6.0 6.0 6.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 194.0 0.0 0.0 NULL -194.0
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+1969-12-31 16:00:09.001 19.0 NULL NULL -200.0 -226.28 226.28 NULL -499.32 19.0 -19.0 -19.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 219.0 0.0 0.0 NULL -219.0
+1969-12-31 16:00:09.061 -53.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 1392.8401 -53.0 53.0 53.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7143.0 0.0 0.0 NULL -7143.0
+1969-12-31 16:00:09.111 -37.0 NULL NULL -200.0 -226.28 226.28 NULL 972.36005 -37.0 37.0 37.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 163.0 0.0 0.0 NULL -163.0
+1969-12-31 16:00:09.144 -42.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 1103.76 -42.0 42.0 42.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7154.0 0.0 0.0 NULL -7154.0
+1969-12-31 16:00:09.161 2.0 NULL NULL -200.0 -226.28 226.28 NULL -52.56 2.0 -2.0 -2.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 202.0 0.0 0.0 NULL -202.0
+1969-12-31 16:00:09.182 -21.0 NULL NULL -200.0 -226.28 226.28 NULL 551.88 -21.0 21.0 21.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 179.0 0.0 0.0 NULL -179.0
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<TRUNCATED>
[31/32] hive git commit: HIVE-18043: Vectorization: Support List type
in MapWork (Colin Ma, reviewed by Ferdinand Xu)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/ql/src/test/results/clientpositive/llap/parquet_complex_types_vectorization.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/parquet_complex_types_vectorization.q.out b/ql/src/test/results/clientpositive/llap/parquet_complex_types_vectorization.q.out
new file mode 100644
index 0000000..cedbb3d
--- /dev/null
+++ b/ql/src/test/results/clientpositive/llap/parquet_complex_types_vectorization.q.out
@@ -0,0 +1,926 @@
+PREHOOK: query: DROP TABLE parquet_complex_types_staging
+PREHOOK: type: DROPTABLE
+POSTHOOK: query: DROP TABLE parquet_complex_types_staging
+POSTHOOK: type: DROPTABLE
+PREHOOK: query: DROP TABLE parquet_complex_types
+PREHOOK: type: DROPTABLE
+POSTHOOK: query: DROP TABLE parquet_complex_types
+POSTHOOK: type: DROPTABLE
+PREHOOK: query: CREATE TABLE parquet_complex_types_staging (
+id int,
+m1 map<string, varchar(5)>,
+l1 array<int>,
+st1 struct<c1:int, c2:string>,
+listIndex int
+) ROW FORMAT DELIMITED
+FIELDS TERMINATED BY '|'
+COLLECTION ITEMS TERMINATED BY ','
+MAP KEYS TERMINATED BY ':'
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@parquet_complex_types_staging
+POSTHOOK: query: CREATE TABLE parquet_complex_types_staging (
+id int,
+m1 map<string, varchar(5)>,
+l1 array<int>,
+st1 struct<c1:int, c2:string>,
+listIndex int
+) ROW FORMAT DELIMITED
+FIELDS TERMINATED BY '|'
+COLLECTION ITEMS TERMINATED BY ','
+MAP KEYS TERMINATED BY ':'
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@parquet_complex_types_staging
+PREHOOK: query: CREATE TABLE parquet_complex_types (
+id int,
+m1 map<string, varchar(5)>,
+l1 array<int>,
+st1 struct<c1:int, c2:string>,
+listIndex int
+) STORED AS PARQUET
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@parquet_complex_types
+POSTHOOK: query: CREATE TABLE parquet_complex_types (
+id int,
+m1 map<string, varchar(5)>,
+l1 array<int>,
+st1 struct<c1:int, c2:string>,
+listIndex int
+) STORED AS PARQUET
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@parquet_complex_types
+PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/parquet_complex_types.txt' OVERWRITE INTO TABLE parquet_complex_types_staging
+PREHOOK: type: LOAD
+#### A masked pattern was here ####
+PREHOOK: Output: default@parquet_complex_types_staging
+POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/parquet_complex_types.txt' OVERWRITE INTO TABLE parquet_complex_types_staging
+POSTHOOK: type: LOAD
+#### A masked pattern was here ####
+POSTHOOK: Output: default@parquet_complex_types_staging
+PREHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging where id < 1024
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types_staging
+PREHOOK: Output: default@parquet_complex_types
+POSTHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging where id < 1024
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types_staging
+POSTHOOK: Output: default@parquet_complex_types
+POSTHOOK: Lineage: parquet_complex_types.id SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:id, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.l1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:l1, type:array<int>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.listindex SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:listindex, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.m1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:m1, type:map<string,varchar(5)>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.st1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:st1, type:struct<c1:int,c2:string>, comment:null), ]
+PREHOOK: query: select count(*) from parquet_complex_types
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from parquet_complex_types
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+1023
+PREHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1023 Data size: 120652 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Select Operator
+ expressions: l1 (type: array<int>), l1[0] (type: int), l1[1] (type: int), l1[listindex] (type: int), listindex (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 6, 7, 8, 4]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 1:int) -> 7:int, ListIndexColColumn(col 2:array<int>, col 4:int) -> 8:int
+ Statistics: Num rows: 1023 Data size: 120652 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 1170 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 1170 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
+ Execution mode: vectorized, llap
+ LLAP IO: all inputs (cache only)
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 10
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+[100,101] 100 101 100 0
+[102,103] 102 103 103 1
+[104,105] 104 105 104 0
+[106,107] 106 107 107 1
+[108,109] 108 109 108 0
+[110,111] 110 111 111 1
+[112,113] 112 113 112 0
+[114,115] 114 115 115 1
+[116,117] 116 117 116 0
+[118,119] 118 119 119 1
+PREHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+#### A masked pattern was here ####
+ Edges:
+ Reducer 2 <- Map 1 (SIMPLE_EDGE)
+ Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1023 Data size: 116760 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColGreaterLongScalar(col 6:int, val 1000)(children: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int)
+ predicate: (l1[0] > 1000) (type: boolean)
+ Statistics: Num rows: 341 Data size: 38920 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: l1[1] (type: int), l1[0] (type: int)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [6, 7]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 1:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 0:int) -> 7:int
+ Statistics: Num rows: 341 Data size: 38920 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 7:int) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 6:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: _col0 (type: int)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 341 Data size: 38920 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ 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: 341 Data size: 38920 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col1 (type: bigint)
+ Execution mode: vectorized, llap
+ LLAP IO: all inputs (cache only)
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reducer 2
+ Execution mode: vectorized, llap
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez 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:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
+ keys: KEY._col0 (type: int)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 170 Data size: 19402 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: bigint), _col0 (type: int)
+ outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
+ Statistics: Num rows: 170 Data size: 19402 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col2 (type: int)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ 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: 170 Data size: 19402 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col0 (type: bigint)
+ Reducer 3
+ Execution mode: vectorized, llap
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Operator Tree:
+ Select Operator
+ expressions: VALUE._col0 (type: bigint), KEY.reducesinkkey0 (type: int)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
+ Statistics: Num rows: 170 Data size: 19402 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 1140 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 1140 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+2144 2145
+2142 2143
+2140 2141
+2138 2139
+2136 2137
+2134 2135
+2132 2133
+2130 2131
+2128 2129
+2126 2127
+PREHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging where id < 1025
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types_staging
+PREHOOK: Output: default@parquet_complex_types
+POSTHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging where id < 1025
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types_staging
+POSTHOOK: Output: default@parquet_complex_types
+POSTHOOK: Lineage: parquet_complex_types.id SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:id, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.l1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:l1, type:array<int>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.listindex SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:listindex, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.m1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:m1, type:map<string,varchar(5)>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.st1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:st1, type:struct<c1:int,c2:string>, comment:null), ]
+PREHOOK: query: select count(*) from parquet_complex_types
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from parquet_complex_types
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+1024
+PREHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1024 Data size: 120776 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Select Operator
+ expressions: l1 (type: array<int>), l1[0] (type: int), l1[1] (type: int), l1[listindex] (type: int), listindex (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 6, 7, 8, 4]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 1:int) -> 7:int, ListIndexColColumn(col 2:array<int>, col 4:int) -> 8:int
+ Statistics: Num rows: 1024 Data size: 120776 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 1170 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 1170 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
+ Execution mode: vectorized, llap
+ LLAP IO: all inputs (cache only)
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 10
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+[100,101] 100 101 100 0
+[102,103] 102 103 103 1
+[104,105] 104 105 104 0
+[106,107] 106 107 107 1
+[108,109] 108 109 108 0
+[110,111] 110 111 111 1
+[112,113] 112 113 112 0
+[114,115] 114 115 115 1
+[116,117] 116 117 116 0
+[118,119] 118 119 119 1
+PREHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+#### A masked pattern was here ####
+ Edges:
+ Reducer 2 <- Map 1 (SIMPLE_EDGE)
+ Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1024 Data size: 116880 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColGreaterLongScalar(col 6:int, val 1000)(children: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int)
+ predicate: (l1[0] > 1000) (type: boolean)
+ Statistics: Num rows: 341 Data size: 38921 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: l1[1] (type: int), l1[0] (type: int)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [6, 7]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 1:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 0:int) -> 7:int
+ Statistics: Num rows: 341 Data size: 38921 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 7:int) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 6:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: _col0 (type: int)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 341 Data size: 38921 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ 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: 341 Data size: 38921 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col1 (type: bigint)
+ Execution mode: vectorized, llap
+ LLAP IO: all inputs (cache only)
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reducer 2
+ Execution mode: vectorized, llap
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez 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:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
+ keys: KEY._col0 (type: int)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 170 Data size: 19403 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: bigint), _col0 (type: int)
+ outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
+ Statistics: Num rows: 170 Data size: 19403 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col2 (type: int)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ 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: 170 Data size: 19403 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col0 (type: bigint)
+ Reducer 3
+ Execution mode: vectorized, llap
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Operator Tree:
+ Select Operator
+ expressions: VALUE._col0 (type: bigint), KEY.reducesinkkey0 (type: int)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
+ Statistics: Num rows: 170 Data size: 19403 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 1140 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 1140 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+2146 2147
+2144 2145
+2142 2143
+2140 2141
+2138 2139
+2136 2137
+2134 2135
+2132 2133
+2130 2131
+2128 2129
+PREHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types_staging
+PREHOOK: Output: default@parquet_complex_types
+POSTHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types_staging
+POSTHOOK: Output: default@parquet_complex_types
+POSTHOOK: Lineage: parquet_complex_types.id SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:id, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.l1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:l1, type:array<int>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.listindex SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:listindex, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.m1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:m1, type:map<string,varchar(5)>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.st1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:st1, type:struct<c1:int,c2:string>, comment:null), ]
+PREHOOK: query: select count(*) from parquet_complex_types
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from parquet_complex_types
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+1025
+PREHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1025 Data size: 120900 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Select Operator
+ expressions: l1 (type: array<int>), l1[0] (type: int), l1[1] (type: int), l1[listindex] (type: int), listindex (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 6, 7, 8, 4]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 1:int) -> 7:int, ListIndexColColumn(col 2:array<int>, col 4:int) -> 8:int
+ Statistics: Num rows: 1025 Data size: 120900 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 1170 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 1170 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
+ Execution mode: vectorized, llap
+ LLAP IO: all inputs (cache only)
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 10
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+[100,101] 100 101 100 0
+[102,103] 102 103 103 1
+[104,105] 104 105 104 0
+[106,107] 106 107 107 1
+[108,109] 108 109 108 0
+[110,111] 110 111 111 1
+[112,113] 112 113 112 0
+[114,115] 114 115 115 1
+[116,117] 116 117 116 0
+[118,119] 118 119 119 1
+PREHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+#### A masked pattern was here ####
+ Edges:
+ Reducer 2 <- Map 1 (SIMPLE_EDGE)
+ Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1025 Data size: 117000 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColGreaterLongScalar(col 6:int, val 1000)(children: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int)
+ predicate: (l1[0] > 1000) (type: boolean)
+ Statistics: Num rows: 341 Data size: 38923 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: l1[1] (type: int), l1[0] (type: int)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [6, 7]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 1:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 0:int) -> 7:int
+ Statistics: Num rows: 341 Data size: 38923 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 7:int) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 6:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: _col0 (type: int)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 341 Data size: 38923 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ 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: 341 Data size: 38923 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col1 (type: bigint)
+ Execution mode: vectorized, llap
+ LLAP IO: all inputs (cache only)
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reducer 2
+ Execution mode: vectorized, llap
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez 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:int
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
+ keys: KEY._col0 (type: int)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 170 Data size: 19404 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: bigint), _col0 (type: int)
+ outputColumnNames: _col0, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
+ Statistics: Num rows: 170 Data size: 19404 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col2 (type: int)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ 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: 170 Data size: 19404 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col0 (type: bigint)
+ Reducer 3
+ Execution mode: vectorized, llap
+ Reduce Vectorization:
+ enabled: true
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true, hive.execution.engine tez IN [tez, spark] IS true
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Operator Tree:
+ Select Operator
+ expressions: VALUE._col0 (type: bigint), KEY.reducesinkkey0 (type: int)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
+ Statistics: Num rows: 170 Data size: 19404 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 1140 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 1140 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+2148 2149
+2146 2147
+2144 2145
+2142 2143
+2140 2141
+2138 2139
+2136 2137
+2134 2135
+2132 2133
+2130 2131
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/ql/src/test/results/clientpositive/llap/vector_complex_join.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/vector_complex_join.q.out b/ql/src/test/results/clientpositive/llap/vector_complex_join.q.out
index ee9e40a..37827b2 100644
--- a/ql/src/test/results/clientpositive/llap/vector_complex_join.q.out
+++ b/ql/src/test/results/clientpositive/llap/vector_complex_join.q.out
@@ -159,24 +159,25 @@ POSTHOOK: Input: default@test
#### A masked pattern was here ####
alltypesorc.ctinyint alltypesorc.csmallint alltypesorc.cint alltypesorc.cbigint alltypesorc.cfloat alltypesorc.cdouble alltypesorc.cstring1 alltypesorc.cstring2 alltypesorc.ctimestamp1 alltypesorc.ctimestamp2 alltypesorc.cboolean1 alltypesorc.cboolean2 test.a test.b
-51 NULL 199408978 -1800989684 -51.0 NULL 34N4EY63M1GFWuW0boW P4PL5h1eXR4mMLr2 1969-12-31 16:00:08.451 NULL false true 199408978 {1:"val_1",2:"val_2"}
-PREHOOK: query: CREATE TABLE test2a (a ARRAY<INT>) STORED AS ORC
+PREHOOK: query: CREATE TABLE test2a (a ARRAY<INT>, index INT) STORED AS ORC
PREHOOK: type: CREATETABLE
PREHOOK: Output: database:default
PREHOOK: Output: default@test2a
-POSTHOOK: query: CREATE TABLE test2a (a ARRAY<INT>) STORED AS ORC
+POSTHOOK: query: CREATE TABLE test2a (a ARRAY<INT>, index INT) STORED AS ORC
POSTHOOK: type: CREATETABLE
POSTHOOK: Output: database:default
POSTHOOK: Output: default@test2a
-PREHOOK: query: INSERT OVERWRITE TABLE test2a SELECT ARRAY(1, 2) FROM src LIMIT 1
+PREHOOK: query: INSERT OVERWRITE TABLE test2a SELECT ARRAY(1, 2), 1 FROM src LIMIT 1
PREHOOK: type: QUERY
PREHOOK: Input: default@src
PREHOOK: Output: default@test2a
-POSTHOOK: query: INSERT OVERWRITE TABLE test2a SELECT ARRAY(1, 2) FROM src LIMIT 1
+POSTHOOK: query: INSERT OVERWRITE TABLE test2a SELECT ARRAY(1, 2), 1 FROM src LIMIT 1
POSTHOOK: type: QUERY
POSTHOOK: Input: default@src
POSTHOOK: Output: default@test2a
POSTHOOK: Lineage: test2a.a EXPRESSION []
-_c0
+POSTHOOK: Lineage: test2a.index SIMPLE []
+_c0 _c1
PREHOOK: query: CREATE TABLE test2b (a INT) STORED AS ORC
PREHOOK: type: CREATETABLE
PREHOOK: Output: database:default
@@ -240,17 +241,17 @@ STAGE PLANS:
className: VectorMapJoinInnerLongOperator
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
- outputColumnNames: _col0, _col4
+ outputColumnNames: _col0, _col4, _col5
input vertices:
1 Map 2
Statistics: Num rows: 3 Data size: 13 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: _col0 (type: int), _col4 (type: array<int>)
- outputColumnNames: _col0, _col1
+ expressions: _col0 (type: int), _col4 (type: array<int>), _col5 (type: int)
+ outputColumnNames: _col0, _col1, _col2
Select Vectorization:
className: VectorSelectOperator
native: true
- projectedOutputColumnNums: [0, 2]
+ projectedOutputColumnNums: [0, 2, 3]
Statistics: Num rows: 3 Data size: 13 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
@@ -277,24 +278,38 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: test2a
- Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 1 Data size: 124 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 3:int)(children: ListIndexColScalar(col 0:array<int>, col 1:int) -> 3:int)
predicate: a[1] is not null (type: boolean)
- Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 1 Data size: 124 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
key expressions: a[1] (type: int)
sort order: +
Map-reduce partition columns: a[1] (type: int)
- Statistics: Num rows: 1 Data size: 120 Basic stats: COMPLETE Column stats: NONE
- value expressions: a (type: array<int>)
- Execution mode: llap
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ keyExpressions: ListIndexColScalar(col 0:array<int>, col 1:int) -> 3:int
+ 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: 1 Data size: 124 Basic stats: COMPLETE Column stats: NONE
+ value expressions: a (type: array<int>), index (type: int)
+ Execution mode: vectorized, llap
LLAP IO: all inputs
Map Vectorization:
enabled: true
enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
- notVectorizedReason: FILTER operator: Unexpected hive type name array<int>
- vectorized: false
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
Stage: Stage-0
Fetch Operator
@@ -312,5 +327,140 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@test2a
POSTHOOK: Input: default@test2b
#### A masked pattern was here ####
-test2b.a test2a.a
-2 [1,2]
+test2b.a test2a.a test2a.index
+2 [1,2] 1
+PREHOOK: query: explain vectorization expression
+select * from test2b join test2a on test2b.a = test2a.a[test2a.index]
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select * from test2b join test2a on test2b.a = test2a.a[test2a.index]
+POSTHOOK: type: QUERY
+Explain
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Tez
+#### A masked pattern was here ####
+ Edges:
+ Map 1 <- Map 2 (BROADCAST_EDGE)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: test2b
+ Statistics: Num rows: 3 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:int)
+ predicate: a is not null (type: boolean)
+ Statistics: Num rows: 3 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 a (type: int)
+ 1 a[index] (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 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
+ outputColumnNames: _col0, _col4, _col5
+ input vertices:
+ 1 Map 2
+ Statistics: Num rows: 3 Data size: 13 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: int), _col4 (type: array<int>), _col5 (type: int)
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 3]
+ Statistics: Num rows: 3 Data size: 13 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 3 Data size: 13 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
+ Execution mode: vectorized, llap
+ LLAP IO: all inputs
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Map 2
+ Map Operator Tree:
+ TableScan
+ alias: test2a
+ Statistics: Num rows: 1 Data size: 124 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 3:int)(children: ListIndexColColumn(col 0:array<int>, col 1:int) -> 3:int)
+ predicate: a[index] is not null (type: boolean)
+ Statistics: Num rows: 1 Data size: 124 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: a[index] (type: int)
+ sort order: +
+ Map-reduce partition columns: a[index] (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ keyExpressions: ListIndexColColumn(col 0:array<int>, col 1:int) -> 3:int
+ 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: 1 Data size: 124 Basic stats: COMPLETE Column stats: NONE
+ value expressions: a (type: array<int>), index (type: int)
+ Execution mode: vectorized, llap
+ LLAP IO: all inputs
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select * from test2b join test2a on test2b.a = test2a.a[test2a.index]
+PREHOOK: type: QUERY
+PREHOOK: Input: default@test2a
+PREHOOK: Input: default@test2b
+#### A masked pattern was here ####
+POSTHOOK: query: select * from test2b join test2a on test2b.a = test2a.a[test2a.index]
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@test2a
+POSTHOOK: Input: default@test2b
+#### A masked pattern was here ####
+test2b.a test2a.a test2a.index
+2 [1,2] 1
[06/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_4.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_4.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_4.q.out
new file mode 100644
index 0000000..17024bc
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_4.q.out
@@ -0,0 +1,225 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cint),
+ (SUM(cint) * -563),
+ (-3728 + SUM(cint)),
+ STDDEV_POP(cdouble),
+ (-(STDDEV_POP(cdouble))),
+ AVG(cdouble),
+ ((SUM(cint) * -563) % SUM(cint)),
+ (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
+ VAR_POP(cdouble),
+ (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
+ ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
+ MIN(ctinyint),
+ MIN(ctinyint),
+ (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
+FROM alltypesparquet
+WHERE (((csmallint >= cint)
+ OR ((-89010 >= ctinyint)
+ AND (cdouble > 79.553)))
+ OR ((-563 != cbigint)
+ AND ((ctinyint != cbigint)
+ OR (-3728 >= cdouble))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cint),
+ (SUM(cint) * -563),
+ (-3728 + SUM(cint)),
+ STDDEV_POP(cdouble),
+ (-(STDDEV_POP(cdouble))),
+ AVG(cdouble),
+ ((SUM(cint) * -563) % SUM(cint)),
+ (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
+ VAR_POP(cdouble),
+ (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
+ ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
+ MIN(ctinyint),
+ MIN(ctinyint),
+ (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
+FROM alltypesparquet
+WHERE (((csmallint >= cint)
+ OR ((-89010 >= ctinyint)
+ AND (cdouble > 79.553)))
+ OR ((-563 != cbigint)
+ AND ((ctinyint != cbigint)
+ OR (-3728 >= cdouble))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterLongColGreaterEqualLongColumn(col 1:int, col 2:int)(children: col 1:smallint), FilterExprAndExpr(children: FilterLongScalarGreaterEqualLongColumn(val -89010, col 0:int)(children: col 0:tinyint), FilterDoubleColGreaterDoubleScalar(col 5:double, val 79.553)), FilterExprAndExpr(children: FilterLongScalarNotEqualLongColumn(val -563, col 3:bigint), FilterExprOrExpr(children: FilterLongColNotEqualLongColumn(col 0:bigint, col 3:bigint)(children: col 0:tinyint), FilterDoubleScalarGreaterEqualDoubleColumn(val -3728.0, col 5:double))))
+ predicate: (((-563 <> cbigint) and ((UDFToLong(ctinyint) <> cbigint) or (-3728.0 >= cdouble))) or ((-89010 >= UDFToInteger(ctinyint)) and (cdouble > 79.553)) or (UDFToInteger(csmallint) >= cint)) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cint (type: int), cdouble (type: double)
+ outputColumnNames: ctinyint, cint, cdouble
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 5]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(cint), stddev_pop(cdouble), avg(cdouble), var_pop(cdouble), min(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 2:int) -> bigint, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFAvgDouble(col 5:double) -> struct<count:bigint,sum:double,input:double>, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFMinLong(col 0:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0, 1, 2, 3, 4]
+ Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: bigint), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,input:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: tinyint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 5]
+ 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: []
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 5
+ dataColumns: VALUE._col0:bigint, VALUE._col1:struct<count:bigint,sum:double,variance:double>, VALUE._col2:struct<count:bigint,sum:double,input:double>, VALUE._col3:struct<count:bigint,sum:double,variance:double>, VALUE._col4:tinyint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0), stddev_pop(VALUE._col1), avg(VALUE._col2), var_pop(VALUE._col3), min(VALUE._col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 0:bigint) -> bigint, VectorUDAFVarFinal(col 1:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_pop, VectorUDAFAvgFinal(col 2:struct<count:bigint,sum:double,input:double>) -> double, VectorUDAFVarFinal(col 3:struct<count:bigint,sum:double,variance:double>) -> double aggregation: var_pop, VectorUDAFMinLong(col 4:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: bigint), (_col0 * -563) (type: bigint), (-3728 + _col0) (type: bigint), _col1 (type: double), (- _col1) (type: double), _col2 (type: double), ((_col0 * -563) % _col0) (type: bigint), (UDFToDouble(((_col0 * -563) % _col0)) / _col2) (type: double), _col3 (type: double), (- (UDFToDouble(((_col0 * -563) % _col0)) / _col2)) (type: double), ((-3728 + _col0) - (_col0 * -563)) (type: bigint), _col4 (type: tinyint), _col4 (type: tinyint), (UDFToDouble(_col4) * (- (UDFToDouble(((_col0 * -563) % _col0)) / _col2))) (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, 5, 6, 1, 7, 2, 9, 12, 3, 11, 14, 4, 4, 16]
+ selectExpressions: LongColMultiplyLongScalar(col 0:bigint, val -563) -> 5:bigint, LongScalarAddLongColumn(val -3728, col 0:bigint) -> 6:bigint, DoubleColUnaryMinus(col 1:double) -> 7:double, LongColModuloLongColumn(col 8:bigint, col 0:bigint)(children: LongColMultiplyLongScalar(col 0:bigint, val -563) -> 8:bigint) -> 9:bigint, DoubleColDivideDoubleColumn(col 11:double, col 2:double)(children: CastLongToDouble(col 10:bigint)(children: LongColModuloLongColumn(col 8:bigint, col 0:bigint)(children: LongColMultiplyLongScalar(col 0:bigint, val -563) -> 8:bigint) -> 10:bigint) -> 11:double) -> 12:double, DoubleColUnaryMinus(col 13:double)(children: DoubleColDivideDoubleColumn(col 11:double, col 2:double)(children: CastLongToDouble(col 10:bigint)(children: LongColModuloLongColumn(col 8:bigint, col 0:bigint)(children: LongColMultiplyLongScalar(col 0:bigint, val -563) -> 8:bigint) -> 10:bigint) -> 11:double) -> 13:double) -> 11:double, LongColSubtractLongColumn(col 8:big
int, col 10:bigint)(children: LongScalarAddLongColumn(val -3728, col 0:bigint) -> 8:bigint, LongColMultiplyLongScalar(col 0:bigint, val -563) -> 10:bigint) -> 14:bigint, DoubleColMultiplyDoubleColumn(col 13:double, col 15:double)(children: CastLongToDouble(col 4:tinyint) -> 13:double, DoubleColUnaryMinus(col 16:double)(children: DoubleColDivideDoubleColumn(col 15:double, col 2:double)(children: CastLongToDouble(col 10:bigint)(children: LongColModuloLongColumn(col 8:bigint, col 0:bigint)(children: LongColMultiplyLongScalar(col 0:bigint, val -563) -> 8:bigint) -> 10:bigint) -> 15:double) -> 16:double) -> 15:double) -> 16:double
+ Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 1 Data size: 252 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT SUM(cint),
+ (SUM(cint) * -563),
+ (-3728 + SUM(cint)),
+ STDDEV_POP(cdouble),
+ (-(STDDEV_POP(cdouble))),
+ AVG(cdouble),
+ ((SUM(cint) * -563) % SUM(cint)),
+ (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
+ VAR_POP(cdouble),
+ (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
+ ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
+ MIN(ctinyint),
+ MIN(ctinyint),
+ (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
+FROM alltypesparquet
+WHERE (((csmallint >= cint)
+ OR ((-89010 >= ctinyint)
+ AND (cdouble > 79.553)))
+ OR ((-563 != cbigint)
+ AND ((ctinyint != cbigint)
+ OR (-3728 >= cdouble))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT SUM(cint),
+ (SUM(cint) * -563),
+ (-3728 + SUM(cint)),
+ STDDEV_POP(cdouble),
+ (-(STDDEV_POP(cdouble))),
+ AVG(cdouble),
+ ((SUM(cint) * -563) % SUM(cint)),
+ (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
+ VAR_POP(cdouble),
+ (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
+ ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
+ MIN(ctinyint),
+ MIN(ctinyint),
+ (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
+FROM alltypesparquet
+WHERE (((csmallint >= cint)
+ OR ((-89010 >= ctinyint)
+ AND (cdouble > 79.553)))
+ OR ((-563 != cbigint)
+ AND ((ctinyint != cbigint)
+ OR (-3728 >= cdouble))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-493101012745 277615870175435 -493101016473 136727.7868296355 -136727.7868296355 2298.5515807767374 0 0.0 1.8694487691330246E10 -0.0 -278108971191908 -64 -64 0.0
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_5.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_5.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_5.q.out
new file mode 100644
index 0000000..32d078b
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_5.q.out
@@ -0,0 +1,213 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MAX(csmallint),
+ (MAX(csmallint) * -75),
+ COUNT(*),
+ ((MAX(csmallint) * -75) / COUNT(*)),
+ (6981 * MAX(csmallint)),
+ MIN(csmallint),
+ (-(MIN(csmallint))),
+ (197 % ((MAX(csmallint) * -75) / COUNT(*))),
+ SUM(cint),
+ MAX(ctinyint),
+ (-(MAX(ctinyint))),
+ ((-(MAX(ctinyint))) + MAX(ctinyint))
+FROM alltypesparquet
+WHERE (((cboolean2 IS NOT NULL)
+ AND (cstring1 LIKE '%b%'))
+ OR ((ctinyint = cdouble)
+ AND ((ctimestamp2 IS NOT NULL)
+ AND (cstring2 LIKE 'a'))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MAX(csmallint),
+ (MAX(csmallint) * -75),
+ COUNT(*),
+ ((MAX(csmallint) * -75) / COUNT(*)),
+ (6981 * MAX(csmallint)),
+ MIN(csmallint),
+ (-(MIN(csmallint))),
+ (197 % ((MAX(csmallint) * -75) / COUNT(*))),
+ SUM(cint),
+ MAX(ctinyint),
+ (-(MAX(ctinyint))),
+ ((-(MAX(ctinyint))) + MAX(ctinyint))
+FROM alltypesparquet
+WHERE (((cboolean2 IS NOT NULL)
+ AND (cstring1 LIKE '%b%'))
+ OR ((ctinyint = cdouble)
+ AND ((ctimestamp2 IS NOT NULL)
+ AND (cstring2 LIKE 'a'))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: SelectColumnIsNotNull(col 11:boolean), FilterStringColLikeStringScalar(col 6:string, pattern %b%)), FilterExprAndExpr(children: FilterDoubleColEqualDoubleColumn(col 13:double, col 5:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), SelectColumnIsNotNull(col 9:timestamp), FilterStringColLikeStringScalar(col 7:string, pattern a)))
+ predicate: (((UDFToDouble(ctinyint) = cdouble) and ctimestamp2 is not null and (cstring2 like 'a')) or (cboolean2 is not null and (cstring1 like '%b%'))) (type: boolean)
+ Statistics: Num rows: 9216 Data size: 110592 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int)
+ outputColumnNames: ctinyint, csmallint, cint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
+ Statistics: Num rows: 9216 Data size: 110592 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: max(csmallint), count(), min(csmallint), sum(cint), max(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxLong(col 1:smallint) -> smallint, VectorUDAFCountStar(*) -> bigint, VectorUDAFMinLong(col 1:smallint) -> smallint, VectorUDAFSumLong(col 2:int) -> bigint, VectorUDAFMaxLong(col 0:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0, 1, 2, 3, 4]
+ Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: smallint), _col1 (type: bigint), _col2 (type: smallint), _col3 (type: bigint), _col4 (type: tinyint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 5, 6, 7, 9, 11]
+ 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: [double]
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 5
+ dataColumns: VALUE._col0:smallint, VALUE._col1:bigint, VALUE._col2:smallint, VALUE._col3:bigint, VALUE._col4:tinyint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: max(VALUE._col0), count(VALUE._col1), min(VALUE._col2), sum(VALUE._col3), max(VALUE._col4)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxLong(col 0:smallint) -> smallint, VectorUDAFCountMerge(col 1:bigint) -> bigint, VectorUDAFMinLong(col 2:smallint) -> smallint, VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFMaxLong(col 4:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: smallint), (UDFToInteger(_col0) * -75) (type: int), _col1 (type: bigint), (UDFToDouble((UDFToInteger(_col0) * -75)) / UDFToDouble(_col1)) (type: double), (6981 * UDFToInteger(_col0)) (type: int), _col2 (type: smallint), (- _col2) (type: smallint), (197.0 % (UDFToDouble((UDFToInteger(_col0) * -75)) / UDFToDouble(_col1))) (type: double), _col3 (type: bigint), _col4 (type: tinyint), (- _col4) (type: tinyint), ((- _col4) + _col4) (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 1, 9, 6, 2, 10, 7, 3, 4, 11, 14]
+ selectExpressions: LongColMultiplyLongScalar(col 0:int, val -75)(children: col 0:smallint) -> 5:int, DoubleColDivideDoubleColumn(col 7:double, col 8:double)(children: CastLongToDouble(col 6:int)(children: LongColMultiplyLongScalar(col 0:int, val -75)(children: col 0:smallint) -> 6:int) -> 7:double, CastLongToDouble(col 1:bigint) -> 8:double) -> 9:double, LongScalarMultiplyLongColumn(val 6981, col 0:int)(children: col 0:smallint) -> 6:int, LongColUnaryMinus(col 2:smallint) -> 10:smallint, DoubleScalarModuloDoubleColumn(val 197.0, col 12:double)(children: DoubleColDivideDoubleColumn(col 7:double, col 8:double)(children: CastLongToDouble(col 11:int)(children: LongColMultiplyLongScalar(col 0:int, val -75)(children: col 0:smallint) -> 11:int) -> 7:double, CastLongToDouble(col 1:bigint) -> 8:double) -> 12:double) -> 7:double, LongColUnaryMinus(col 4:tinyint) -> 11:tinyint, LongColAddLongColumn(col 13:tinyint, col 4:tinyint)(children: LongColUnaryMinus(col 4:tinyint)
-> 13:tinyint) -> 14:tinyint
+ Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 1 Data size: 28 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT MAX(csmallint),
+ (MAX(csmallint) * -75),
+ COUNT(*),
+ ((MAX(csmallint) * -75) / COUNT(*)),
+ (6981 * MAX(csmallint)),
+ MIN(csmallint),
+ (-(MIN(csmallint))),
+ (197 % ((MAX(csmallint) * -75) / COUNT(*))),
+ SUM(cint),
+ MAX(ctinyint),
+ (-(MAX(ctinyint))),
+ ((-(MAX(ctinyint))) + MAX(ctinyint))
+FROM alltypesparquet
+WHERE (((cboolean2 IS NOT NULL)
+ AND (cstring1 LIKE '%b%'))
+ OR ((ctinyint = cdouble)
+ AND ((ctimestamp2 IS NOT NULL)
+ AND (cstring2 LIKE 'a'))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT MAX(csmallint),
+ (MAX(csmallint) * -75),
+ COUNT(*),
+ ((MAX(csmallint) * -75) / COUNT(*)),
+ (6981 * MAX(csmallint)),
+ MIN(csmallint),
+ (-(MIN(csmallint))),
+ (197 % ((MAX(csmallint) * -75) / COUNT(*))),
+ SUM(cint),
+ MAX(ctinyint),
+ (-(MAX(ctinyint))),
+ ((-(MAX(ctinyint))) + MAX(ctinyint))
+FROM alltypesparquet
+WHERE (((cboolean2 IS NOT NULL)
+ AND (cstring1 LIKE '%b%'))
+ OR ((ctinyint = cdouble)
+ AND ((ctimestamp2 IS NOT NULL)
+ AND (cstring2 LIKE 'a'))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+16343 -1225725 1070 -1145.53738317757 114090483 -16307 16307 197.0 -26853917571 11 -11 0
[30/32] hive git commit: HIVE-18043: Vectorization: Support List type
in MapWork (Colin Ma, reviewed by Ferdinand Xu)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/ql/src/test/results/clientpositive/parquet_complex_types_vectorization.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_complex_types_vectorization.q.out b/ql/src/test/results/clientpositive/parquet_complex_types_vectorization.q.out
new file mode 100644
index 0000000..03488a1
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_complex_types_vectorization.q.out
@@ -0,0 +1,878 @@
+PREHOOK: query: DROP TABLE parquet_complex_types_staging
+PREHOOK: type: DROPTABLE
+POSTHOOK: query: DROP TABLE parquet_complex_types_staging
+POSTHOOK: type: DROPTABLE
+PREHOOK: query: DROP TABLE parquet_complex_types
+PREHOOK: type: DROPTABLE
+POSTHOOK: query: DROP TABLE parquet_complex_types
+POSTHOOK: type: DROPTABLE
+PREHOOK: query: CREATE TABLE parquet_complex_types_staging (
+id int,
+m1 map<string, varchar(5)>,
+l1 array<int>,
+st1 struct<c1:int, c2:string>,
+listIndex int
+) ROW FORMAT DELIMITED
+FIELDS TERMINATED BY '|'
+COLLECTION ITEMS TERMINATED BY ','
+MAP KEYS TERMINATED BY ':'
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@parquet_complex_types_staging
+POSTHOOK: query: CREATE TABLE parquet_complex_types_staging (
+id int,
+m1 map<string, varchar(5)>,
+l1 array<int>,
+st1 struct<c1:int, c2:string>,
+listIndex int
+) ROW FORMAT DELIMITED
+FIELDS TERMINATED BY '|'
+COLLECTION ITEMS TERMINATED BY ','
+MAP KEYS TERMINATED BY ':'
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@parquet_complex_types_staging
+PREHOOK: query: CREATE TABLE parquet_complex_types (
+id int,
+m1 map<string, varchar(5)>,
+l1 array<int>,
+st1 struct<c1:int, c2:string>,
+listIndex int
+) STORED AS PARQUET
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@parquet_complex_types
+POSTHOOK: query: CREATE TABLE parquet_complex_types (
+id int,
+m1 map<string, varchar(5)>,
+l1 array<int>,
+st1 struct<c1:int, c2:string>,
+listIndex int
+) STORED AS PARQUET
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@parquet_complex_types
+PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/parquet_complex_types.txt' OVERWRITE INTO TABLE parquet_complex_types_staging
+PREHOOK: type: LOAD
+#### A masked pattern was here ####
+PREHOOK: Output: default@parquet_complex_types_staging
+POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/parquet_complex_types.txt' OVERWRITE INTO TABLE parquet_complex_types_staging
+POSTHOOK: type: LOAD
+#### A masked pattern was here ####
+POSTHOOK: Output: default@parquet_complex_types_staging
+PREHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging where id < 1024
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types_staging
+PREHOOK: Output: default@parquet_complex_types
+POSTHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging where id < 1024
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types_staging
+POSTHOOK: Output: default@parquet_complex_types
+POSTHOOK: Lineage: parquet_complex_types.id SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:id, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.l1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:l1, type:array<int>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.listindex SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:listindex, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.m1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:m1, type:map<string,varchar(5)>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.st1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:st1, type:struct<c1:int,c2:string>, comment:null), ]
+PREHOOK: query: select count(*) from parquet_complex_types
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from parquet_complex_types
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+1023
+PREHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1023 Data size: 5115 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Select Operator
+ expressions: l1 (type: array<int>), l1[0] (type: int), l1[1] (type: int), l1[listindex] (type: int), listindex (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 6, 7, 8, 4]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 1:int) -> 7:int, ListIndexColColumn(col 2:array<int>, col 4:int) -> 8:int
+ Statistics: Num rows: 1023 Data size: 5115 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 50 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 50 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 10
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+[100,101] 100 101 100 0
+[102,103] 102 103 103 1
+[104,105] 104 105 104 0
+[106,107] 106 107 107 1
+[108,109] 108 109 108 0
+[110,111] 110 111 111 1
+[112,113] 112 113 112 0
+[114,115] 114 115 115 1
+[116,117] 116 117 116 0
+[118,119] 118 119 119 1
+PREHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1023 Data size: 5115 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColGreaterLongScalar(col 6:int, val 1000)(children: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int)
+ predicate: (l1[0] > 1000) (type: boolean)
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: l1[1] (type: int), l1[0] (type: int)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [6, 7]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 1:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 0:int) -> 7:int
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 7:int) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 6:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: _col0 (type: int)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col1 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0)
+ keys: KEY._col0 (type: int)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: bigint), _col0 (type: int)
+ outputColumnNames: _col0, _col2
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ Reduce Output Operator
+ key expressions: _col2 (type: int)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col0 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: VALUE._col0 (type: bigint), KEY.reducesinkkey0 (type: int)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Statistics: Num rows: 10 Data size: 50 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 10 Data size: 50 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+2144 2145
+2142 2143
+2140 2141
+2138 2139
+2136 2137
+2134 2135
+2132 2133
+2130 2131
+2128 2129
+2126 2127
+PREHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging where id < 1025
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types_staging
+PREHOOK: Output: default@parquet_complex_types
+POSTHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging where id < 1025
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types_staging
+POSTHOOK: Output: default@parquet_complex_types
+POSTHOOK: Lineage: parquet_complex_types.id SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:id, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.l1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:l1, type:array<int>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.listindex SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:listindex, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.m1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:m1, type:map<string,varchar(5)>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.st1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:st1, type:struct<c1:int,c2:string>, comment:null), ]
+PREHOOK: query: select count(*) from parquet_complex_types
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from parquet_complex_types
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+1024
+PREHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1024 Data size: 5120 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Select Operator
+ expressions: l1 (type: array<int>), l1[0] (type: int), l1[1] (type: int), l1[listindex] (type: int), listindex (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 6, 7, 8, 4]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 1:int) -> 7:int, ListIndexColColumn(col 2:array<int>, col 4:int) -> 8:int
+ Statistics: Num rows: 1024 Data size: 5120 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 50 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 50 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 10
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+[100,101] 100 101 100 0
+[102,103] 102 103 103 1
+[104,105] 104 105 104 0
+[106,107] 106 107 107 1
+[108,109] 108 109 108 0
+[110,111] 110 111 111 1
+[112,113] 112 113 112 0
+[114,115] 114 115 115 1
+[116,117] 116 117 116 0
+[118,119] 118 119 119 1
+PREHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1024 Data size: 5120 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColGreaterLongScalar(col 6:int, val 1000)(children: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int)
+ predicate: (l1[0] > 1000) (type: boolean)
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: l1[1] (type: int), l1[0] (type: int)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [6, 7]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 1:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 0:int) -> 7:int
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 7:int) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 6:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: _col0 (type: int)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col1 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0)
+ keys: KEY._col0 (type: int)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: bigint), _col0 (type: int)
+ outputColumnNames: _col0, _col2
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ Reduce Output Operator
+ key expressions: _col2 (type: int)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col0 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: VALUE._col0 (type: bigint), KEY.reducesinkkey0 (type: int)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Statistics: Num rows: 10 Data size: 50 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 10 Data size: 50 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+2146 2147
+2144 2145
+2142 2143
+2140 2141
+2138 2139
+2136 2137
+2134 2135
+2132 2133
+2130 2131
+2128 2129
+PREHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types_staging
+PREHOOK: Output: default@parquet_complex_types
+POSTHOOK: query: INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types_staging
+POSTHOOK: Output: default@parquet_complex_types
+POSTHOOK: Lineage: parquet_complex_types.id SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:id, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.l1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:l1, type:array<int>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.listindex SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:listindex, type:int, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.m1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:m1, type:map<string,varchar(5)>, comment:null), ]
+POSTHOOK: Lineage: parquet_complex_types.st1 SIMPLE [(parquet_complex_types_staging)parquet_complex_types_staging.FieldSchema(name:st1, type:struct<c1:int,c2:string>, comment:null), ]
+PREHOOK: query: select count(*) from parquet_complex_types
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from parquet_complex_types
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+1025
+PREHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1025 Data size: 5125 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Select Operator
+ expressions: l1 (type: array<int>), l1[0] (type: int), l1[1] (type: int), l1[listindex] (type: int), listindex (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 6, 7, 8, 4]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 1:int) -> 7:int, ListIndexColColumn(col 2:array<int>, col 4:int) -> 8:int
+ Statistics: Num rows: 1025 Data size: 5125 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 50 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 50 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 10
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+[100,101] 100 101 100 0
+[102,103] 102 103 103 1
+[104,105] 104 105 104 0
+[106,107] 106 107 107 1
+[108,109] 108 109 108 0
+[110,111] 110 111 111 1
+[112,113] 112 113 112 0
+[114,115] 114 115 115 1
+[116,117] 116 117 116 0
+[118,119] 118 119 119 1
+PREHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: parquet_complex_types
+ Statistics: Num rows: 1025 Data size: 5125 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterLongColGreaterLongScalar(col 6:int, val 1000)(children: ListIndexColScalar(col 2:array<int>, col 0:int) -> 6:int)
+ predicate: (l1[0] > 1000) (type: boolean)
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: l1[1] (type: int), l1[0] (type: int)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [6, 7]
+ selectExpressions: ListIndexColScalar(col 2:array<int>, col 1:int) -> 6:int, ListIndexColScalar(col 2:array<int>, col 0:int) -> 7:int
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 7:int) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 6:int
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: _col0 (type: int)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: int)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 341 Data size: 1705 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col1 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0)
+ keys: KEY._col0 (type: int)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: bigint), _col0 (type: int)
+ outputColumnNames: _col0, _col2
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ Reduce Output Operator
+ key expressions: _col2 (type: int)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col0 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: VALUE._col0 (type: bigint), KEY.reducesinkkey0 (type: int)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 170 Data size: 850 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Statistics: Num rows: 10 Data size: 50 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 10 Data size: 50 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+POSTHOOK: query: select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@parquet_complex_types
+#### A masked pattern was here ####
+2148 2149
+2146 2147
+2144 2145
+2142 2143
+2140 2141
+2138 2139
+2136 2137
+2134 2135
+2132 2133
+2130 2131
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/ql/src/test/results/clientpositive/vector_complex_join.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/vector_complex_join.q.out b/ql/src/test/results/clientpositive/vector_complex_join.q.out
index 23ae87e..7677697 100644
--- a/ql/src/test/results/clientpositive/vector_complex_join.q.out
+++ b/ql/src/test/results/clientpositive/vector_complex_join.q.out
@@ -136,24 +136,25 @@ POSTHOOK: Input: default@test
#### A masked pattern was here ####
alltypesorc.ctinyint alltypesorc.csmallint alltypesorc.cint alltypesorc.cbigint alltypesorc.cfloat alltypesorc.cdouble alltypesorc.cstring1 alltypesorc.cstring2 alltypesorc.ctimestamp1 alltypesorc.ctimestamp2 alltypesorc.cboolean1 alltypesorc.cboolean2 test.a test.b
-51 NULL 199408978 -1800989684 -51.0 NULL 34N4EY63M1GFWuW0boW P4PL5h1eXR4mMLr2 1969-12-31 16:00:08.451 NULL false true 199408978 {1:"val_1",2:"val_2"}
-PREHOOK: query: CREATE TABLE test2a (a ARRAY<INT>) STORED AS ORC
+PREHOOK: query: CREATE TABLE test2a (a ARRAY<INT>, index INT) STORED AS ORC
PREHOOK: type: CREATETABLE
PREHOOK: Output: database:default
PREHOOK: Output: default@test2a
-POSTHOOK: query: CREATE TABLE test2a (a ARRAY<INT>) STORED AS ORC
+POSTHOOK: query: CREATE TABLE test2a (a ARRAY<INT>, index INT) STORED AS ORC
POSTHOOK: type: CREATETABLE
POSTHOOK: Output: database:default
POSTHOOK: Output: default@test2a
-PREHOOK: query: INSERT OVERWRITE TABLE test2a SELECT ARRAY(1, 2) FROM src LIMIT 1
+PREHOOK: query: INSERT OVERWRITE TABLE test2a SELECT ARRAY(1, 2), 1 FROM src LIMIT 1
PREHOOK: type: QUERY
PREHOOK: Input: default@src
PREHOOK: Output: default@test2a
-POSTHOOK: query: INSERT OVERWRITE TABLE test2a SELECT ARRAY(1, 2) FROM src LIMIT 1
+POSTHOOK: query: INSERT OVERWRITE TABLE test2a SELECT ARRAY(1, 2), 1 FROM src LIMIT 1
POSTHOOK: type: QUERY
POSTHOOK: Input: default@src
POSTHOOK: Output: default@test2a
POSTHOOK: Lineage: test2a.a EXPRESSION []
-_c0
+POSTHOOK: Lineage: test2a.index SIMPLE []
+_c0 _c1
PREHOOK: query: CREATE TABLE test2b (a INT) STORED AS ORC
PREHOOK: type: CREATETABLE
PREHOOK: Output: database:default
@@ -211,35 +212,57 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: test2a
- Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 3:int)(children: ListIndexColScalar(col 0:array<int>, col 1:int) -> 3:int)
predicate: a[1] is not null (type: boolean)
- Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: NONE
Map Join Operator
condition map:
Inner Join 0 to 1
keys:
0 a (type: int)
1 a[1] (type: int)
- outputColumnNames: _col0, _col4
+ Map Join Vectorization:
+ className: VectorMapJoinOperator
+ native: false
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ outputColumnNames: _col0, _col4, _col5
Statistics: Num rows: 3 Data size: 13 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: _col0 (type: int), _col4 (type: array<int>)
- outputColumnNames: _col0, _col1
+ expressions: _col0 (type: int), _col4 (type: array<int>), _col5 (type: int)
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
Statistics: Num rows: 3 Data size: 13 Basic stats: COMPLETE Column stats: NONE
File Output Operator
compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
Statistics: Num rows: 3 Data size: 13 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
+ Execution mode: vectorized
Map Vectorization:
enabled: true
enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
- notVectorizedReason: FILTER operator: Unexpected hive type name array<int>
- vectorized: false
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
Local Work:
Map Reduce Local Work
@@ -259,5 +282,118 @@ POSTHOOK: type: QUERY
POSTHOOK: Input: default@test2a
POSTHOOK: Input: default@test2b
#### A masked pattern was here ####
-test2b.a test2a.a
-2 [1,2]
+test2b.a test2a.a test2a.index
+2 [1,2] 1
+PREHOOK: query: explain vectorization expression
+select * from test2b join test2a on test2b.a = test2a.a[test2a.index]
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select * from test2b join test2a on test2b.a = test2a.a[test2a.index]
+POSTHOOK: type: QUERY
+Explain
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-4 is a root stage
+ Stage-3 depends on stages: Stage-4
+ Stage-0 depends on stages: Stage-3
+
+STAGE PLANS:
+ Stage: Stage-4
+ Map Reduce Local Work
+ Alias -> Map Local Tables:
+ test2b
+ Fetch Operator
+ limit: -1
+ Alias -> Map Local Operator Tree:
+ test2b
+ TableScan
+ alias: test2b
+ Statistics: Num rows: 3 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: a is not null (type: boolean)
+ Statistics: Num rows: 3 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ HashTable Sink Operator
+ keys:
+ 0 a (type: int)
+ 1 a[index] (type: int)
+
+ Stage: Stage-3
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: test2a
+ Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 3:int)(children: ListIndexColColumn(col 0:array<int>, col 1:int) -> 3:int)
+ predicate: a[index] is not null (type: boolean)
+ Statistics: Num rows: 1 Data size: 12 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 a (type: int)
+ 1 a[index] (type: int)
+ Map Join Vectorization:
+ className: VectorMapJoinOperator
+ native: false
+ nativeConditionsMet: hive.mapjoin.optimized.hashtable IS true, hive.vectorized.execution.mapjoin.native.enabled IS true, One MapJoin Condition IS true, No nullsafe IS true, Small table vectorizes IS true, Optimized Table and Supports Key Types IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ outputColumnNames: _col0, _col4, _col5
+ Statistics: Num rows: 3 Data size: 13 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: int), _col4 (type: array<int>), _col5 (type: int)
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
+ Statistics: Num rows: 3 Data size: 13 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 3 Data size: 13 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.orc.OrcInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Local Work:
+ Map Reduce Local Work
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select * from test2b join test2a on test2b.a = test2a.a[test2a.index]
+PREHOOK: type: QUERY
+PREHOOK: Input: default@test2a
+PREHOOK: Input: default@test2b
+#### A masked pattern was here ####
+POSTHOOK: query: select * from test2b join test2a on test2b.a = test2a.a[test2a.index]
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@test2a
+POSTHOOK: Input: default@test2b
+#### A masked pattern was here ####
+test2b.a test2a.a test2a.index
+2 [1,2] 1
[10/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_14.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_14.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_14.q.out
new file mode 100644
index 0000000..653a7bf
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_14.q.out
@@ -0,0 +1,929 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT ctimestamp1,
+ cfloat,
+ cstring1,
+ cboolean1,
+ cdouble,
+ (-26.28 + cdouble),
+ (-((-26.28 + cdouble))),
+ STDDEV_SAMP((-((-26.28 + cdouble)))),
+ (cfloat * -26.28),
+ MAX(cfloat),
+ (-(cfloat)),
+ (-(MAX(cfloat))),
+ ((-((-26.28 + cdouble))) / 10.175),
+ STDDEV_POP(cfloat),
+ COUNT(cfloat),
+ (-(((-((-26.28 + cdouble))) / 10.175))),
+ (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))),
+ (cfloat - cdouble),
+ VAR_POP(cfloat),
+ (VAR_POP(cfloat) % 10.175),
+ VAR_SAMP(cfloat),
+ (-((cfloat - cdouble)))
+FROM alltypesparquet
+WHERE (((ctinyint <= cbigint)
+ AND ((cint <= cdouble)
+ OR (ctimestamp2 < ctimestamp1)))
+ AND ((cdouble < ctinyint)
+ AND ((cbigint > -257)
+ OR (cfloat < cint))))
+GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble
+ORDER BY cstring1, cfloat, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT ctimestamp1,
+ cfloat,
+ cstring1,
+ cboolean1,
+ cdouble,
+ (-26.28 + cdouble),
+ (-((-26.28 + cdouble))),
+ STDDEV_SAMP((-((-26.28 + cdouble)))),
+ (cfloat * -26.28),
+ MAX(cfloat),
+ (-(cfloat)),
+ (-(MAX(cfloat))),
+ ((-((-26.28 + cdouble))) / 10.175),
+ STDDEV_POP(cfloat),
+ COUNT(cfloat),
+ (-(((-((-26.28 + cdouble))) / 10.175))),
+ (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))),
+ (cfloat - cdouble),
+ VAR_POP(cfloat),
+ (VAR_POP(cfloat) % 10.175),
+ VAR_SAMP(cfloat),
+ (-((cfloat - cdouble)))
+FROM alltypesparquet
+WHERE (((ctinyint <= cbigint)
+ AND ((cint <= cdouble)
+ OR (ctimestamp2 < ctimestamp1)))
+ AND ((cdouble < ctinyint)
+ AND ((cbigint > -257)
+ OR (cfloat < cint))))
+GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble
+ORDER BY cstring1, cfloat, cdouble, ctimestamp1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 2)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColLessEqualLongColumn(col 0:bigint, col 3:bigint)(children: col 0:tinyint), FilterExprOrExpr(children: FilterDoubleColLessEqualDoubleColumn(col 13:double, col 5:double)(children: CastLongToDouble(col 2:int) -> 13:double), FilterTimestampColLessTimestampColumn(col 9:timestamp, col 8:timestamp)), FilterDoubleColLessDoubleColumn(col 5:double, col 13:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), FilterExprOrExpr(children: FilterLongColGreaterLongScalar(col 3:bigint, val -257), FilterDoubleColLessDoubleColumn(col 4:float, col 13:float)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 13:float)))
+ predicate: (((UDFToDouble(cint) <= cdouble) or (ctimestamp2 < ctimestamp1)) and ((cbigint > -257) or (cfloat < UDFToFloat(cint))) and (UDFToLong(ctinyint) <= cbigint) and (cdouble < UDFToDouble(ctinyint))) (type: boolean)
+ Statistics: Num rows: 606 Data size: 7272 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctimestamp1 (type: timestamp), cfloat (type: float), cstring1 (type: string), cboolean1 (type: boolean), cdouble (type: double), (- (-26.28 + cdouble)) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [8, 4, 6, 10, 5, 14]
+ selectExpressions: DoubleColUnaryMinus(col 13:double)(children: DoubleScalarAddDoubleColumn(val -26.28, col 5:double) -> 13:double) -> 14:double
+ Statistics: Num rows: 606 Data size: 7272 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: stddev_samp(_col5), max(_col1), stddev_pop(_col1), count(_col1), var_pop(_col1), var_samp(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarDouble(col 14:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFMaxDouble(col 4:float) -> float, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFCount(col 4:float) -> bigint, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: var_samp
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 6:string, col 4:float, col 5:double, col 8:timestamp, col 10:boolean
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: _col2 (type: string), _col1 (type: float), _col4 (type: double), _col0 (type: timestamp), _col3 (type: boolean)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 606 Data size: 7272 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string), _col1 (type: float), _col2 (type: double), _col3 (type: timestamp), _col4 (type: boolean)
+ sort order: +++++
+ Map-reduce partition columns: _col0 (type: string), _col1 (type: float), _col2 (type: double), _col3 (type: timestamp), _col4 (type: boolean)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ keyColumnNums: [0, 1, 2, 3, 4]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [5, 6, 7, 8, 9, 10]
+ Statistics: Num rows: 606 Data size: 7272 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: float), _col7 (type: struct<count:bigint,sum:double,variance:double>), _col8 (type: bigint), _col9 (type: struct<count:bigint,sum:double,variance:double>), _col10 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 2, 3, 4, 5, 6, 8, 9, 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: [double, double]
+ 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
+ reduceColumnNullOrder: aaaaa
+ reduceColumnSortOrder: +++++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 11
+ dataColumns: KEY._col0:string, KEY._col1:float, KEY._col2:double, KEY._col3:timestamp, KEY._col4:boolean, VALUE._col0:struct<count:bigint,sum:double,variance:double>, VALUE._col1:float, VALUE._col2:struct<count:bigint,sum:double,variance:double>, VALUE._col3:bigint, VALUE._col4:struct<count:bigint,sum:double,variance:double>, VALUE._col5:struct<count:bigint,sum:double,variance:double>
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: stddev_samp(VALUE._col0), max(VALUE._col1), stddev_pop(VALUE._col2), count(VALUE._col3), var_pop(VALUE._col4), var_samp(VALUE._col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarFinal(col 5:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_samp, VectorUDAFMaxDouble(col 6:float) -> float, VectorUDAFVarFinal(col 7:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_pop, VectorUDAFCountMerge(col 8:bigint) -> bigint, VectorUDAFVarFinal(col 9:struct<count:bigint,sum:double,variance:double>) -> double aggregation: var_pop, VectorUDAFVarFinal(col 10:struct<count:bigint,sum:double,variance:double>) -> double aggregation: var_samp
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:string, col 1:float, col 2:double, col 3:timestamp, col 4:boolean
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: KEY._col0 (type: string), KEY._col1 (type: float), KEY._col2 (type: double), KEY._col3 (type: timestamp), KEY._col4 (type: boolean)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 303 Data size: 3636 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col3 (type: timestamp), _col1 (type: float), _col0 (type: string), _col4 (type: boolean), _col2 (type: double), (-26.28 + _col2) (type: double), (- (-26.28 + _col2)) (type: double), _col5 (type: double), (_col1 * -26.28) (type: float), _col6 (type: float), (- _col1) (type: float), (- _col6) (type: float), ((- (-26.28 + _col2)) / 10.175) (type: double), _col7 (type: double), _col8 (type: bigint), (- ((- (-26.28 + _col2)) / 10.175)) (type: double), (-1.389 % _col5) (type: double), (UDFToDouble(_col1) - _col2) (type: double), _col9 (type: double), (_col9 % 10.175) (type: double), _col10 (type: double), (- (UDFToDouble(_col1) - _col2)) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 1, 0, 4, 2, 11, 13, 5, 12, 6, 14, 15, 16, 7, 8, 18, 17, 19, 9, 20, 10, 22]
+ selectExpressions: DoubleScalarAddDoubleColumn(val -26.28, col 2:double) -> 11:double, DoubleColUnaryMinus(col 12:double)(children: DoubleScalarAddDoubleColumn(val -26.28, col 2:double) -> 12:double) -> 13:double, DoubleColMultiplyDoubleScalar(col 1:float, val -26.280000686645508) -> 12:float, DoubleColUnaryMinus(col 1:float) -> 14:float, DoubleColUnaryMinus(col 6:float) -> 15:float, DoubleColDivideDoubleScalar(col 17:double, val 10.175)(children: DoubleColUnaryMinus(col 16:double)(children: DoubleScalarAddDoubleColumn(val -26.28, col 2:double) -> 16:double) -> 17:double) -> 16:double, DoubleColUnaryMinus(col 17:double)(children: DoubleColDivideDoubleScalar(col 18:double, val 10.175)(children: DoubleColUnaryMinus(col 17:double)(children: DoubleScalarAddDoubleColumn(val -26.28, col 2:double) -> 17:double) -> 18:double) -> 17:double) -> 18:double, DoubleScalarModuloDoubleColumn(val -1.389, col 5:double) -> 17:double, DoubleColSubtractDoubleColumn(col 1:double, co
l 2:double)(children: col 1:float) -> 19:double, DoubleColModuloDoubleScalar(col 9:double, val 10.175) -> 20:double, DoubleColUnaryMinus(col 21:double)(children: DoubleColSubtractDoubleColumn(col 1:double, col 2:double)(children: col 1:float) -> 21:double) -> 22:double
+ Statistics: Num rows: 303 Data size: 3636 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col2 (type: string), _col1 (type: float), _col4 (type: double), _col0 (type: timestamp)
+ sort order: ++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0, 1, 2, 3]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [4, 11, 13, 5, 12, 6, 14, 15, 16, 7, 8, 18, 17, 19, 9, 20, 10, 22]
+ Statistics: Num rows: 303 Data size: 3636 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col3 (type: boolean), _col5 (type: double), _col6 (type: double), _col7 (type: double), _col8 (type: float), _col9 (type: float), _col10 (type: float), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: bigint), _col15 (type: double), _col16 (type: double), _col17 (type: double), _col18 (type: double), _col19 (type: double), _col20 (type: double), _col21 (type: double)
+ 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
+ reduceColumnNullOrder: aaaa
+ reduceColumnSortOrder: ++++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 22
+ dataColumns: KEY.reducesinkkey0:string, KEY.reducesinkkey1:float, KEY.reducesinkkey2:double, KEY.reducesinkkey3:timestamp, VALUE._col0:boolean, VALUE._col1:double, VALUE._col2:double, VALUE._col3:double, VALUE._col4:float, VALUE._col5:float, VALUE._col6:float, VALUE._col7:float, VALUE._col8:double, VALUE._col9:double, VALUE._col10:bigint, VALUE._col11:double, VALUE._col12:double, VALUE._col13:double, VALUE._col14:double, VALUE._col15:double, VALUE._col16:double, VALUE._col17:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey3 (type: timestamp), KEY.reducesinkkey1 (type: float), KEY.reducesinkkey0 (type: string), VALUE._col0 (type: boolean), KEY.reducesinkkey2 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: float), VALUE._col5 (type: float), VALUE._col6 (type: float), VALUE._col7 (type: float), VALUE._col8 (type: double), VALUE._col9 (type: double), VALUE._col10 (type: bigint), VALUE._col11 (type: double), VALUE._col12 (type: double), VALUE._col13 (type: double), VALUE._col14 (type: double), VALUE._col15 (type: double), VALUE._col16 (type: double), VALUE._col17 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 1, 0, 4, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21]
+ Statistics: Num rows: 303 Data size: 3636 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 303 Data size: 3636 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT ctimestamp1,
+ cfloat,
+ cstring1,
+ cboolean1,
+ cdouble,
+ (-26.28 + cdouble),
+ (-((-26.28 + cdouble))),
+ STDDEV_SAMP((-((-26.28 + cdouble)))),
+ (cfloat * -26.28),
+ MAX(cfloat),
+ (-(cfloat)),
+ (-(MAX(cfloat))),
+ ((-((-26.28 + cdouble))) / 10.175),
+ STDDEV_POP(cfloat),
+ COUNT(cfloat),
+ (-(((-((-26.28 + cdouble))) / 10.175))),
+ (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))),
+ (cfloat - cdouble),
+ VAR_POP(cfloat),
+ (VAR_POP(cfloat) % 10.175),
+ VAR_SAMP(cfloat),
+ (-((cfloat - cdouble)))
+FROM alltypesparquet
+WHERE (((ctinyint <= cbigint)
+ AND ((cint <= cdouble)
+ OR (ctimestamp2 < ctimestamp1)))
+ AND ((cdouble < ctinyint)
+ AND ((cbigint > -257)
+ OR (cfloat < cint))))
+GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble
+ORDER BY cstring1, cfloat, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT ctimestamp1,
+ cfloat,
+ cstring1,
+ cboolean1,
+ cdouble,
+ (-26.28 + cdouble),
+ (-((-26.28 + cdouble))),
+ STDDEV_SAMP((-((-26.28 + cdouble)))),
+ (cfloat * -26.28),
+ MAX(cfloat),
+ (-(cfloat)),
+ (-(MAX(cfloat))),
+ ((-((-26.28 + cdouble))) / 10.175),
+ STDDEV_POP(cfloat),
+ COUNT(cfloat),
+ (-(((-((-26.28 + cdouble))) / 10.175))),
+ (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))),
+ (cfloat - cdouble),
+ VAR_POP(cfloat),
+ (VAR_POP(cfloat) % 10.175),
+ VAR_SAMP(cfloat),
+ (-((cfloat - cdouble)))
+FROM alltypesparquet
+WHERE (((ctinyint <= cbigint)
+ AND ((cint <= cdouble)
+ OR (ctimestamp2 < ctimestamp1)))
+ AND ((cdouble < ctinyint)
+ AND ((cbigint > -257)
+ OR (cfloat < cint))))
+GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble
+ORDER BY cstring1, cfloat, cdouble, ctimestamp1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+1969-12-31 15:59:55.491 50.0 NULL NULL -200.0 -226.28 226.28 NULL -1314.0 50.0 -50.0 -50.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 250.0 0.0 0.0 NULL -250.0
+1969-12-31 15:59:55.508 31.0 NULL NULL -200.0 -226.28 226.28 NULL -814.68 31.0 -31.0 -31.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 231.0 0.0 0.0 NULL -231.0
+1969-12-31 15:59:55.747 -3.0 NULL NULL -200.0 -226.28 226.28 NULL 78.840004 -3.0 3.0 3.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 197.0 0.0 0.0 NULL -197.0
+1969-12-31 15:59:55.796 -43.0 NULL NULL -200.0 -226.28 226.28 NULL 1130.04 -43.0 43.0 43.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 157.0 0.0 0.0 NULL -157.0
+1969-12-31 15:59:55.799 19.0 NULL NULL -200.0 -226.28 226.28 NULL -499.32 19.0 -19.0 -19.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 219.0 0.0 0.0 NULL -219.0
+1969-12-31 15:59:55.982 4.0 NULL NULL -200.0 -226.28 226.28 NULL -105.12 4.0 -4.0 -4.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 204.0 0.0 0.0 NULL -204.0
+1969-12-31 15:59:56.099 19.0 NULL NULL -200.0 -226.28 226.28 NULL -499.32 19.0 -19.0 -19.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 219.0 0.0 0.0 NULL -219.0
+1969-12-31 15:59:56.131 26.0 NULL NULL -200.0 -226.28 226.28 NULL -683.28 26.0 -26.0 -26.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 226.0 0.0 0.0 NULL -226.0
+1969-12-31 15:59:56.14 61.0 NULL NULL -200.0 -226.28 226.28 NULL -1603.0801 61.0 -61.0 -61.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 261.0 0.0 0.0 NULL -261.0
+1969-12-31 15:59:56.159 -49.0 NULL NULL -200.0 -226.28 226.28 NULL 1287.7201 -49.0 49.0 49.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 151.0 0.0 0.0 NULL -151.0
+1969-12-31 15:59:56.174 -36.0 NULL NULL -200.0 -226.28 226.28 NULL 946.08 -36.0 36.0 36.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 164.0 0.0 0.0 NULL -164.0
+1969-12-31 15:59:56.197 -42.0 NULL NULL -200.0 -226.28 226.28 NULL 1103.76 -42.0 42.0 42.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 158.0 0.0 0.0 NULL -158.0
+1969-12-31 15:59:56.218 -4.0 NULL NULL -200.0 -226.28 226.28 NULL 105.12 -4.0 4.0 4.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 196.0 0.0 0.0 NULL -196.0
+1969-12-31 15:59:56.276 -60.0 NULL NULL -200.0 -226.28 226.28 NULL 1576.8 -60.0 60.0 60.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 140.0 0.0 0.0 NULL -140.0
+1969-12-31 15:59:56.319 -5.0 NULL NULL -200.0 -226.28 226.28 NULL 131.40001 -5.0 5.0 5.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 195.0 0.0 0.0 NULL -195.0
+1969-12-31 15:59:56.345 54.0 NULL NULL -200.0 -226.28 226.28 NULL -1419.12 54.0 -54.0 -54.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 254.0 0.0 0.0 NULL -254.0
+1969-12-31 15:59:56.414 -23.0 NULL NULL -200.0 -226.28 226.28 NULL 604.44 -23.0 23.0 23.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 177.0 0.0 0.0 NULL -177.0
+1969-12-31 15:59:56.436 -33.0 NULL NULL -200.0 -226.28 226.28 NULL 867.24005 -33.0 33.0 33.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 167.0 0.0 0.0 NULL -167.0
+1969-12-31 15:59:56.477 -47.0 NULL NULL -200.0 -226.28 226.28 NULL 1235.16 -47.0 47.0 47.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 153.0 0.0 0.0 NULL -153.0
+1969-12-31 15:59:56.691 41.0 NULL NULL -200.0 -226.28 226.28 NULL -1077.48 41.0 -41.0 -41.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 241.0 0.0 0.0 NULL -241.0
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+1969-12-31 16:00:08.781 -6.0 NULL NULL -200.0 -226.28 226.28 NULL 157.68001 -6.0 6.0 6.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 194.0 0.0 0.0 NULL -194.0
+1969-12-31 16:00:08.805 -54.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 1419.12 -54.0 54.0 54.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7142.0 0.0 0.0 NULL -7142.0
+1969-12-31 16:00:08.839 -24.0 NULL NULL -7196.0 -7222.28 7222.28 NULL 630.72003 -24.0 24.0 24.0 709.8063882063881 0.0 1 -709.8063882063881 NULL 7172.0 0.0 0.0 NULL -7172.0
+1969-12-31 16:00:08.852 -39.0 NULL NULL -200.0 -226.28 226.28 NULL 1024.92 -39.0 39.0 39.0 22.238820638820638 0.0 1 -22.238820638820638 NULL 161.0 0.0 0.0 NULL -161.0
+1969-12-31 16:00:08.
<TRUNCATED>
[15/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_part_project.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_part_project.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_part_project.q.out
new file mode 100644
index 0000000..f1eb466
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_part_project.q.out
@@ -0,0 +1,134 @@
+PREHOOK: query: CREATE TABLE alltypesparquet_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS PARQUET
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@alltypesparquet_part
+POSTHOOK: query: CREATE TABLE alltypesparquet_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS PARQUET
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@alltypesparquet_part
+PREHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2011') select * from alltypesparquet order by ctinyint, cint, cbigint limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part@ds=2011
+POSTHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2011') select * from alltypesparquet order by ctinyint, cint, cbigint limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part@ds=2011
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2012') select * from alltypesparquet order by ctinyint, cint, cbigint limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part@ds=2012
+POSTHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2012') select * from alltypesparquet order by ctinyint, cint, cbigint limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part@ds=2012
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: explain vectorization select (cdouble+2) c1 from alltypesparquet_part order by c1 limit 10
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization select (cdouble+2) c1 from alltypesparquet_part order by c1 limit 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet_part
+ Statistics: Num rows: 200 Data size: 2400 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: (cdouble + 2.0) (type: double)
+ outputColumnNames: _col0
+ Statistics: Num rows: 200 Data size: 2400 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Statistics: Num rows: 200 Data size: 2400 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: double)
+ outputColumnNames: _col0
+ Statistics: Num rows: 200 Data size: 2400 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Statistics: Num rows: 10 Data size: 120 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 10 Data size: 120 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 10
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select (cdouble+2) c1 from alltypesparquet_part order by c1 limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet_part
+PREHOOK: Input: default@alltypesparquet_part@ds=2011
+PREHOOK: Input: default@alltypesparquet_part@ds=2012
+#### A masked pattern was here ####
+POSTHOOK: query: select (cdouble+2) c1 from alltypesparquet_part order by c1 limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet_part
+POSTHOOK: Input: default@alltypesparquet_part@ds=2011
+POSTHOOK: Input: default@alltypesparquet_part@ds=2012
+#### A masked pattern was here ####
+NULL
+NULL
+-15863.0
+-15863.0
+-14988.0
+-14988.0
+-14646.0
+-14646.0
+-14236.0
+-14236.0
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_part_varchar.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_part_varchar.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_part_varchar.q.out
new file mode 100644
index 0000000..1208217
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_part_varchar.q.out
@@ -0,0 +1,72 @@
+PREHOOK: query: CREATE TABLE alltypesparquet_part_varchar(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds varchar(4)) STORED AS PARQUET
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@alltypesparquet_part_varchar
+POSTHOOK: query: CREATE TABLE alltypesparquet_part_varchar(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds varchar(4)) STORED AS PARQUET
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@alltypesparquet_part_varchar
+PREHOOK: query: insert overwrite table alltypesparquet_part_varchar partition (ds='2011') select * from alltypesparquet limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part_varchar@ds=2011
+POSTHOOK: query: insert overwrite table alltypesparquet_part_varchar partition (ds='2011') select * from alltypesparquet limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part_varchar@ds=2011
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2011).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: insert overwrite table alltypesparquet_part_varchar partition (ds='2012') select * from alltypesparquet limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part_varchar@ds=2012
+POSTHOOK: query: insert overwrite table alltypesparquet_part_varchar partition (ds='2012') select * from alltypesparquet limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part_varchar@ds=2012
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part_varchar PARTITION(ds=2012).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: select count(cdouble), cint from alltypesparquet_part_varchar where ds='2011' group by cint limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet_part_varchar
+PREHOOK: Input: default@alltypesparquet_part_varchar@ds=2011
+#### A masked pattern was here ####
+POSTHOOK: query: select count(cdouble), cint from alltypesparquet_part_varchar where ds='2011' group by cint limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet_part_varchar
+POSTHOOK: Input: default@alltypesparquet_part_varchar@ds=2011
+#### A masked pattern was here ####
+100 528534767
+PREHOOK: query: select count(*) from alltypesparquet_part_varchar A join alltypesparquet_part_varchar B on A.ds=B.ds
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet_part_varchar
+PREHOOK: Input: default@alltypesparquet_part_varchar@ds=2011
+PREHOOK: Input: default@alltypesparquet_part_varchar@ds=2012
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from alltypesparquet_part_varchar A join alltypesparquet_part_varchar B on A.ds=B.ds
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet_part_varchar
+POSTHOOK: Input: default@alltypesparquet_part_varchar@ds=2011
+POSTHOOK: Input: default@alltypesparquet_part_varchar@ds=2012
+#### A masked pattern was here ####
+20000
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_pushdown.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_pushdown.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_pushdown.q.out
new file mode 100644
index 0000000..79024e3
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_pushdown.q.out
@@ -0,0 +1,81 @@
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: explain vectorization SELECT AVG(cbigint) FROM alltypesparquet WHERE cbigint < cdouble
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization SELECT AVG(cbigint) FROM alltypesparquet WHERE cbigint < cdouble
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ filterExpr: (UDFToDouble(cbigint) < cdouble) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (UDFToDouble(cbigint) < cdouble) (type: boolean)
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cbigint (type: bigint)
+ outputColumnNames: cbigint
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(cbigint)
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 80 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Statistics: Num rows: 1 Data size: 80 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:bigint>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: avg(VALUE._col0)
+ mode: mergepartial
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 80 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 80 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT AVG(cbigint) FROM alltypesparquet WHERE cbigint < cdouble
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT AVG(cbigint) FROM alltypesparquet WHERE cbigint < cdouble
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1.4670720493864927E9
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/rename_column.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/rename_column.q.out b/ql/src/test/results/clientpositive/rename_column.q.out
index 6ea13f8..6418ce2 100644
--- a/ql/src/test/results/clientpositive/rename_column.q.out
+++ b/ql/src/test/results/clientpositive/rename_column.q.out
@@ -149,6 +149,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/show_tables.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/show_tables.q.out b/ql/src/test/results/clientpositive/show_tables.q.out
index 4c46c09..c498ab3 100644
--- a/ql/src/test/results/clientpositive/show_tables.q.out
+++ b/ql/src/test/results/clientpositive/show_tables.q.out
@@ -134,6 +134,7 @@ POSTHOOK: query: SHOW TABLES FROM default
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
@@ -166,6 +167,7 @@ POSTHOOK: query: SHOW TABLES IN default
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
[04/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_7.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_7.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_7.q.out
new file mode 100644
index 0000000..f01e808
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_7.q.out
@@ -0,0 +1,480 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > -15)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > -15)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColNotEqualLongScalar(col 0:tinyint, val 0), FilterExprOrExpr(children: FilterDoubleColLessEqualDoubleScalar(col 13:double, val 0.0)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterLongColEqualLongColumn(col 0:int, col 2:int)(children: col 0:tinyint), FilterStringColLikeStringScalar(col 7:string, pattern ss)), FilterExprOrExpr(children: FilterDoubleScalarLessDoubleColumn(val 988888.0, col 5:double), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 13:double, val -15.0)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterDoubleScalarGreaterEqualDoubleColumn(val 3569.0, col 5:double))))
+ predicate: (((988888.0 < cdouble) or ((UDFToDouble(ctimestamp2) > -15.0) and (3569.0 >= cdouble))) and ((UDFToDouble(ctimestamp1) <= 0.0) or (UDFToInteger(ctinyint) = cint) or (cstring2 like 'ss')) and (ctinyint <> 0)) (type: boolean)
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cboolean1 (type: boolean), cbigint (type: bigint), csmallint (type: smallint), ctinyint (type: tinyint), ctimestamp1 (type: timestamp), cstring1 (type: string), (cbigint + cbigint) (type: bigint), (UDFToInteger(csmallint) % -257) (type: int), (- csmallint) (type: smallint), (- ctinyint) (type: tinyint), (UDFToInteger((- ctinyint)) + 17) (type: int), (cbigint * UDFToLong((- csmallint))) (type: bigint), (cint % UDFToInteger(csmallint)) (type: int), (- ctinyint) (type: tinyint), ((- ctinyint) % ctinyint) (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [10, 3, 1, 0, 8, 6, 14, 15, 16, 17, 19, 20, 18, 21, 23]
+ selectExpressions: LongColAddLongColumn(col 3:bigint, col 3:bigint) -> 14:bigint, LongColModuloLongScalar(col 1:int, val -257)(children: col 1:smallint) -> 15:int, LongColUnaryMinus(col 1:smallint) -> 16:smallint, LongColUnaryMinus(col 0:tinyint) -> 17:tinyint, LongColAddLongScalar(col 18:int, val 17)(children: col 18:tinyint) -> 19:int, LongColMultiplyLongColumn(col 3:bigint, col 18:bigint)(children: col 18:smallint) -> 20:bigint, LongColModuloLongColumn(col 2:int, col 1:int)(children: col 1:smallint) -> 18:int, LongColUnaryMinus(col 0:tinyint) -> 21:tinyint, LongColModuloLongColumn(col 22:tinyint, col 0:tinyint)(children: LongColUnaryMinus(col 0:tinyint) -> 22:tinyint) -> 23:tinyint
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: bigint), _col2 (type: smallint), _col3 (type: tinyint), _col4 (type: timestamp), _col5 (type: string), _col6 (type: bigint), _col7 (type: int), _col8 (type: smallint), _col9 (type: tinyint), _col10 (type: int), _col11 (type: bigint), _col12 (type: int), _col13 (type: tinyint), _col14 (type: tinyint)
+ sort order: +++++++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [10, 3, 1, 0, 8, 6, 14, 15, 16, 17, 19, 20, 18, 21, 23]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: []
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 5, 6, 7, 8, 9, 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: [double, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint, bigint]
+ 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
+ reduceColumnNullOrder: aaaaaaaaaaaaaaa
+ reduceColumnSortOrder: +++++++++++++++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 15
+ dataColumns: KEY.reducesinkkey0:boolean, KEY.reducesinkkey1:bigint, KEY.reducesinkkey2:smallint, KEY.reducesinkkey3:tinyint, KEY.reducesinkkey4:timestamp, KEY.reducesinkkey5:string, KEY.reducesinkkey6:bigint, KEY.reducesinkkey7:int, KEY.reducesinkkey8:smallint, KEY.reducesinkkey9:tinyint, KEY.reducesinkkey10:int, KEY.reducesinkkey11:bigint, KEY.reducesinkkey12:int, KEY.reducesinkkey13:tinyint, KEY.reducesinkkey14:tinyint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: bigint), KEY.reducesinkkey2 (type: smallint), KEY.reducesinkkey3 (type: tinyint), KEY.reducesinkkey4 (type: timestamp), KEY.reducesinkkey5 (type: string), KEY.reducesinkkey6 (type: bigint), KEY.reducesinkkey7 (type: int), KEY.reducesinkkey8 (type: smallint), KEY.reducesinkkey9 (type: tinyint), KEY.reducesinkkey10 (type: int), KEY.reducesinkkey11 (type: bigint), KEY.reducesinkkey12 (type: int), KEY.reducesinkkey9 (type: tinyint), KEY.reducesinkkey14 (type: tinyint)
+ 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, 9, 14]
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 25
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 25 Data size: 300 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 25 Data size: 300 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 25
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > -15)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > -15)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+NULL -2118149242 -7196 56 1969-12-31 15:59:50.462 NULL -4236298484 0 7196 -56 -39 -15242201945432 NULL -56 0
+NULL -2121399625 -7196 27 1969-12-31 15:59:50.046 NULL -4242799250 0 7196 -27 -10 -15265591701500 NULL -27 0
+NULL -2124802690 -7196 -6 1969-12-31 15:59:57.92 NULL -4249605380 0 7196 6 23 -15290080157240 NULL 6 0
+NULL -2128720310 -7196 -52 1969-12-31 15:59:45.978 NULL -4257440620 0 7196 52 69 -15318271350760 NULL 52 0
+NULL -2132232110 -200 60 1969-12-31 15:59:47.019 NULL -4264464220 -200 200 -60 -43 -426446422000 NULL -60 0
+NULL -2132536965 -7196 9 1969-12-31 15:59:46 NULL -4265073930 0 7196 -9 8 -15345736000140 NULL -9 0
+NULL -2135141157 -7196 50 1969-12-31 15:59:50.192 NULL -4270282314 0 7196 -50 -33 -15364475765772 NULL -50 0
+NULL -2137537679 -7196 -25 1969-12-31 15:59:50.136 NULL -4275075358 0 7196 25 42 -15381721138084 NULL 25 0
+NULL -2145481991 -7196 56 1969-12-31 15:59:55.667 NULL -4290963982 0 7196 -56 -39 -15438888407236 NULL -56 0
+NULL NULL -200 -36 1969-12-31 15:59:57.241 NULL NULL -200 200 36 53 NULL NULL 36 0
+NULL NULL -200 -43 1969-12-31 15:59:53.783 NULL NULL -200 200 43 60 NULL NULL 43 0
+NULL NULL -200 -58 1969-12-31 15:59:51.115 NULL NULL -200 200 58 75 NULL NULL 58 0
+NULL NULL -200 22 1969-12-31 15:59:50.109 NULL NULL -200 200 -22 -5 NULL NULL -22 0
+NULL NULL -200 3 1969-12-31 15:59:50.489 NULL NULL -200 200 -3 14 NULL NULL -3 0
+NULL NULL -200 43 1969-12-31 15:59:57.003 NULL NULL -200 200 -43 -26 NULL NULL -43 0
+NULL NULL -200 53 1969-12-31 15:59:49.46 NULL NULL -200 200 -53 -36 NULL NULL -53 0
+NULL NULL -200 9 1969-12-31 15:59:44.108 NULL NULL -200 200 -9 8 NULL NULL -9 0
+NULL NULL -7196 -38 1969-12-31 15:59:53.503 NULL NULL 0 7196 38 55 NULL NULL 38 0
+NULL NULL -7196 -49 1969-12-31 15:59:51.009 NULL NULL 0 7196 49 66 NULL NULL 49 0
+NULL NULL -7196 -49 1969-12-31 15:59:52.052 NULL NULL 0 7196 49 66 NULL NULL 49 0
+NULL NULL -7196 -50 1969-12-31 15:59:52.424 NULL NULL 0 7196 50 67 NULL NULL 50 0
+NULL NULL -7196 -61 1969-12-31 15:59:44.823 NULL NULL 0 7196 61 78 NULL NULL 61 0
+NULL NULL -7196 1 1969-12-31 15:59:48.361 NULL NULL 0 7196 -1 16 NULL NULL -1 0
+NULL NULL -7196 14 1969-12-31 15:59:50.291 NULL NULL 0 7196 -14 3 NULL NULL -14 0
+NULL NULL -7196 22 1969-12-31 15:59:52.699 NULL NULL 0 7196 -22 -5 NULL NULL -22 0
+PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0.0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > 7.6850000000000005)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0.0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > 7.6850000000000005)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColNotEqualLongScalar(col 0:tinyint, val 0), FilterExprOrExpr(children: FilterDoubleColLessEqualDoubleScalar(col 13:double, val 0.0)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterLongColEqualLongColumn(col 0:int, col 2:int)(children: col 0:tinyint), FilterStringColLikeStringScalar(col 7:string, pattern ss)), FilterExprOrExpr(children: FilterDoubleScalarLessDoubleColumn(val 988888.0, col 5:double), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 13:double, val 7.6850000000000005)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterDoubleScalarGreaterEqualDoubleColumn(val 3569.0, col 5:double))))
+ predicate: (((988888.0 < cdouble) or ((UDFToDouble(ctimestamp2) > 7.6850000000000005) and (3569.0 >= cdouble))) and ((UDFToDouble(ctimestamp1) <= 0.0) or (UDFToInteger(ctinyint) = cint) or (cstring2 like 'ss')) and (ctinyint <> 0)) (type: boolean)
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cboolean1 (type: boolean), cbigint (type: bigint), csmallint (type: smallint), ctinyint (type: tinyint), ctimestamp1 (type: timestamp), cstring1 (type: string), (cbigint + cbigint) (type: bigint), (UDFToInteger(csmallint) % -257) (type: int), (- csmallint) (type: smallint), (- ctinyint) (type: tinyint), (UDFToInteger((- ctinyint)) + 17) (type: int), (cbigint * UDFToLong((- csmallint))) (type: bigint), (cint % UDFToInteger(csmallint)) (type: int), (- ctinyint) (type: tinyint), ((- ctinyint) % ctinyint) (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [10, 3, 1, 0, 8, 6, 14, 15, 16, 17, 19, 20, 18, 21, 23]
+ selectExpressions: LongColAddLongColumn(col 3:bigint, col 3:bigint) -> 14:bigint, LongColModuloLongScalar(col 1:int, val -257)(children: col 1:smallint) -> 15:int, LongColUnaryMinus(col 1:smallint) -> 16:smallint, LongColUnaryMinus(col 0:tinyint) -> 17:tinyint, LongColAddLongScalar(col 18:int, val 17)(children: col 18:tinyint) -> 19:int, LongColMultiplyLongColumn(col 3:bigint, col 18:bigint)(children: col 18:smallint) -> 20:bigint, LongColModuloLongColumn(col 2:int, col 1:int)(children: col 1:smallint) -> 18:int, LongColUnaryMinus(col 0:tinyint) -> 21:tinyint, LongColModuloLongColumn(col 22:tinyint, col 0:tinyint)(children: LongColUnaryMinus(col 0:tinyint) -> 22:tinyint) -> 23:tinyint
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: bigint), _col2 (type: smallint), _col3 (type: tinyint), _col4 (type: timestamp), _col5 (type: string), _col6 (type: bigint), _col7 (type: int), _col8 (type: smallint), _col9 (type: tinyint), _col10 (type: int), _col11 (type: bigint), _col12 (type: int), _col13 (type: tinyint), _col14 (type: tinyint)
+ 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: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: true
+ 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:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: bigint), KEY.reducesinkkey2 (type: smallint), KEY.reducesinkkey3 (type: tinyint), KEY.reducesinkkey4 (type: timestamp), KEY.reducesinkkey5 (type: string), KEY.reducesinkkey6 (type: bigint), KEY.reducesinkkey7 (type: int), KEY.reducesinkkey8 (type: smallint), KEY.reducesinkkey9 (type: tinyint), KEY.reducesinkkey10 (type: int), KEY.reducesinkkey11 (type: bigint), KEY.reducesinkkey12 (type: int), KEY.reducesinkkey9 (type: tinyint), KEY.reducesinkkey14 (type: tinyint)
+ 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, 9, 14]
+ Statistics: Num rows: 5461 Data size: 65532 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 25
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 25 Data size: 300 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 25 Data size: 300 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 25
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0.0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > 7.6850000000000005)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0.0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > 7.6850000000000005)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+true NULL -14584 -7 1969-12-31 15:59:46.965 1cGVWH7n1QU NULL -192 14584 7 24 NULL 5864 7 0
+true NULL -14739 4 1969-12-31 15:59:55.188 cvLH6Eat2yFsyy7p NULL -90 14739 -4 13 NULL 8966 -4 0
+true NULL -14771 13 1969-12-31 15:59:58.839 821UdmGbkEf4j NULL -122 14771 -13 4 NULL 12897 -13 0
+true NULL -15149 20 1969-12-31 15:59:46.575 1cGVWH7n1QU NULL -243 15149 -20 -3 NULL 10520 -20 0
+true NULL -15344 48 1969-12-31 15:59:54.853 821UdmGbkEf4j NULL -181 15344 -48 -31 NULL 13871 -48 0
+true NULL -15388 49 1969-12-31 15:59:58.545 cvLH6Eat2yFsyy7p NULL -225 15388 -49 -32 NULL 3131 -49 0
+true NULL -15431 -11 1969-12-31 15:59:52.176 cvLH6Eat2yFsyy7p NULL -11 15431 11 28 NULL 7586 11 0
+true NULL -15435 -21 1969-12-31 15:59:54.705 1cGVWH7n1QU NULL -15 15435 21 38 NULL 6586 21 0
+true NULL -15450 -34 1969-12-31 15:59:55.681 cvLH6Eat2yFsyy7p NULL -30 15450 34 51 NULL 5717 34 0
+true NULL -15478 7 1969-12-31 15:59:56.809 cvLH6Eat2yFsyy7p NULL -58 15478 -7 10 NULL 7501 -7 0
+true NULL -15555 -2 1969-12-31 15:59:58.773 1cGVWH7n1QU NULL -135 15555 2 19 NULL 9991 2 0
+true NULL -15659 -11 1969-12-31 15:59:48.466 cvLH6Eat2yFsyy7p NULL -239 15659 11 28 NULL 12199 11 0
+true NULL -15711 -60 1969-12-31 15:59:53.115 821UdmGbkEf4j NULL -34 15711 60 77 NULL 7646 60 0
+true NULL -15770 -23 1969-12-31 15:59:56.822 1cGVWH7n1QU NULL -93 15770 23 40 NULL 4926 23 0
+true NULL -15794 53 1969-12-31 15:59:53.749 cvLH6Eat2yFsyy7p NULL -117 15794 -53 -36 NULL 4351 -53 0
+true NULL -15892 29 1969-12-31 15:59:57.937 821UdmGbkEf4j NULL -215 15892 -29 -12 NULL 171 -29 0
+true NULL -15899 50 1969-12-31 15:59:46.926 821UdmGbkEf4j NULL -222 15899 -50 -33 NULL 10210 -50 0
+true NULL -15920 -64 1969-12-31 15:59:51.859 cvLH6Eat2yFsyy7p NULL -243 15920 64 81 NULL 6687 64 0
+true NULL -15922 -17 1969-12-31 15:59:46.164 821UdmGbkEf4j NULL -245 15922 17 34 NULL 10851 17 0
+true NULL -15980 -6 1969-12-31 15:59:54.84 1cGVWH7n1QU NULL -46 15980 6 23 NULL 14836 6 0
+true NULL -16017 -21 1969-12-31 15:59:44.02 821UdmGbkEf4j NULL -83 16017 21 38 NULL 2282 21 0
+true NULL -16036 -15 1969-12-31 15:59:58.681 1cGVWH7n1QU NULL -102 16036 15 32 NULL 7928 15 0
+true NULL -16076 59 1969-12-31 15:59:55.023 821UdmGbkEf4j NULL -142 16076 -59 -42 NULL 7907 -59 0
+true NULL -16122 50 1969-12-31 15:59:51.608 1cGVWH7n1QU NULL -188 16122 -50 -33 NULL 1828 -50 0
+true NULL -16153 35 1969-12-31 15:59:52.036 1cGVWH7n1QU NULL -219 16153 -35 -18 NULL 14817 -35 0
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_8.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_8.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_8.q.out
new file mode 100644
index 0000000..b4f17c4
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_8.q.out
@@ -0,0 +1,454 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 10)
+ AND (ctimestamp2 != 16)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 10)
+ AND (ctimestamp2 != 16)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:string), FilterDoubleColLessEqualDoubleScalar(col 13:double, val 10.0)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterDoubleColNotEqualDoubleScalar(col 13:double, val 16.0)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double)), FilterDoubleColLessDoubleScalar(col 4:float, val -6432.0), FilterExprAndExpr(children: SelectColumnIsNotNull(col 10:boolean), FilterDoubleColEqualDoubleScalar(col 5:double, val 988888.0)))
+ predicate: ((cboolean1 is not null and (cdouble = 988888.0)) or (cfloat < -6432) or (cstring2 is not null and (UDFToDouble(ctimestamp1) <= 10.0) and (UDFToDouble(ctimestamp2) <> 16.0))) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctimestamp1 (type: timestamp), cdouble (type: double), cboolean1 (type: boolean), cstring1 (type: string), cfloat (type: float), (- cdouble) (type: double), (-5638.15 - cdouble) (type: double), (cdouble * -257.0) (type: double), (UDFToFloat(cint) + cfloat) (type: float), ((- cdouble) + UDFToDouble(cbigint)) (type: double), (- cdouble) (type: double), (-1.389 - cfloat) (type: float), (- cfloat) (type: float), ((-5638.15 - cdouble) + UDFToDouble((UDFToFloat(cint) + cfloat))) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [8, 5, 10, 6, 4, 13, 14, 15, 17, 19, 16, 18, 20, 22]
+ selectExpressions: DoubleColUnaryMinus(col 5:double) -> 13:double, DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 14:double, DoubleColMultiplyDoubleScalar(col 5:double, val -257.0) -> 15:double, DoubleColAddDoubleColumn(col 16:float, col 4:float)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 16:float) -> 17:float, DoubleColAddDoubleColumn(col 16:double, col 18:double)(children: DoubleColUnaryMinus(col 5:double) -> 16:double, CastLongToDouble(col 3:bigint) -> 18:double) -> 19:double, DoubleColUnaryMinus(col 5:double) -> 16:double, DoubleScalarSubtractDoubleColumn(val -1.3890000581741333, col 4:float) -> 18:float, DoubleColUnaryMinus(col 4:float) -> 20:float, DoubleColAddDoubleColumn(col 21:double, col 23:double)(children: DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 21:double, col 23:float) -> 22:double
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: timestamp), _col1 (type: double), _col2 (type: boolean), _col3 (type: string), _col4 (type: float), _col5 (type: double), _col6 (type: double), _col7 (type: double), _col8 (type: float), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: float), _col13 (type: double)
+ sort order: ++++++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [8, 5, 10, 6, 4, 13, 14, 15, 17, 19, 16, 18, 20, 22]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: []
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [2, 3, 4, 5, 6, 7, 8, 9, 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: [double, double, double, double, double, double, double, double, double, double, double]
+ 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
+ reduceColumnNullOrder: aaaaaaaaaaaaaa
+ reduceColumnSortOrder: ++++++++++++++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 14
+ dataColumns: KEY.reducesinkkey0:timestamp, KEY.reducesinkkey1:double, KEY.reducesinkkey2:boolean, KEY.reducesinkkey3:string, KEY.reducesinkkey4:float, KEY.reducesinkkey5:double, KEY.reducesinkkey6:double, KEY.reducesinkkey7:double, KEY.reducesinkkey8:float, KEY.reducesinkkey9:double, KEY.reducesinkkey10:double, KEY.reducesinkkey11:float, KEY.reducesinkkey12:float, KEY.reducesinkkey13:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey1 (type: double), KEY.reducesinkkey2 (type: boolean), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: float), KEY.reducesinkkey5 (type: double), KEY.reducesinkkey6 (type: double), KEY.reducesinkkey7 (type: double), KEY.reducesinkkey8 (type: float), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey5 (type: double), KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: float), KEY.reducesinkkey13 (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, 4, 5, 6, 7, 8, 9, 5, 11, 12, 13]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 10)
+ AND (ctimestamp2 != 16)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 10)
+ AND (ctimestamp2 != 16)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+1969-12-31 15:59:30.929 -200.0 NULL NULL 12.0 200.0 -5438.15 51400.0 NULL 2.128824065E9 200.0 -13.389 -12.0 NULL
+1969-12-31 15:59:30.929 -200.0 NULL NULL 42.0 200.0 -5438.15 51400.0 NULL -5.78935585E8 200.0 -43.389 -42.0 NULL
+1969-12-31 15:59:30.929 -7196.0 NULL NULL 49.0 7196.0 1557.8500000000004 1849372.0 NULL 1.948230809E9 7196.0 -50.389 -49.0 NULL
+1969-12-31 15:59:30.929 15601.0 NULL NULL -54.0 -15601.0 -21239.15 -4009457.0 NULL -1.114185408E9 -15601.0 52.611 54.0 NULL
+1969-12-31 15:59:43.628 -200.0 NULL NULL 23.0 200.0 -5438.15 51400.0 NULL 2.034056161E9 200.0 -24.389 -23.0 NULL
+1969-12-31 15:59:43.637 -7196.0 NULL NULL -44.0 7196.0 1557.8500000000004 1849372.0 NULL 1.100301451E9 7196.0 42.611 44.0 NULL
+1969-12-31 15:59:43.64 -7196.0 NULL NULL -51.0 7196.0 1557.8500000000004 1849372.0 NULL -1.339157623E9 7196.0 49.611 51.0 NULL
+1969-12-31 15:59:43.661 -200.0 NULL NULL 13.0 200.0 -5438.15 51400.0 NULL -6.8063459E7 200.0 -14.389 -13.0 NULL
+1969-12-31 15:59:43.676 -200.0 NULL NULL -10.0 200.0 -5438.15 51400.0 NULL 8.34296111E8 200.0 8.611 10.0 NULL
+1969-12-31 15:59:43.705 15601.0 NULL NULL -12.0 -15601.0 -21239.15 -4009457.0 NULL 5.95398978E8 -15601.0 10.611 12.0 NULL
+1969-12-31 15:59:43.709 15601.0 NULL NULL 61.0 -15601.0 -21239.15 -4009457.0 NULL -1.55652257E8 -15601.0 -62.389 -61.0 NULL
+1969-12-31 15:59:43.72 -200.0 NULL NULL -18.0 200.0 -5438.15 51400.0 NULL 1.809037075E9 200.0 16.611 18.0 NULL
+1969-12-31 15:59:43.721 15601.0 NULL NULL 57.0 -15601.0 -21239.15 -4009457.0 NULL -1.465672807E9 -15601.0 -58.389 -57.0 NULL
+1969-12-31 15:59:43.749 -7196.0 NULL NULL -39.0 7196.0 1557.8500000000004 1849372.0 NULL 3.96436076E8 7196.0 37.611 39.0 NULL
+1969-12-31 15:59:43.771 15601.0 NULL NULL 49.0 -15601.0 -21239.15 -4009457.0 NULL -1.10733693E9 -15601.0 -50.389 -49.0 NULL
+1969-12-31 15:59:43.773 -200.0 NULL NULL -24.0 200.0 -5438.15 51400.0 NULL -1.046049502E9 200.0 22.611 24.0 NULL
+1969-12-31 15:59:43.782 -7196.0 NULL NULL 51.0 7196.0 1557.8500000000004 1849372.0 NULL -1.607339819E9 7196.0 -52.389 -51.0 NULL
+1969-12-31 15:59:43.783 -200.0 NULL NULL -11.0 200.0 -5438.15 51400.0 NULL 1.2116287E7 200.0 9.611 11.0 NULL
+1969-12-31 15:59:43.807 -7196.0 NULL NULL 42.0 7196.0 1557.8500000000004 1849372.0 NULL -5.98226333E8 7196.0 -43.389 -42.0 NULL
+1969-12-31 15:59:43.82 -7196.0 NULL NULL -30.0 7196.0 1557.8500000000004 1849372.0 NULL 1.329550715E9 7196.0 28.611 30.0 NULL
+PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 12.503)
+ AND (ctimestamp2 != 11.998)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 12.503)
+ AND (ctimestamp2 != 11.998)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: SelectColumnIsNotNull(col 7:string), FilterDoubleColLessEqualDoubleScalar(col 13:double, val 12.503)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterDoubleColNotEqualDoubleScalar(col 13:double, val 11.998)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double)), FilterDoubleColLessDoubleScalar(col 4:float, val -6432.0), FilterExprAndExpr(children: SelectColumnIsNotNull(col 10:boolean), FilterDoubleColEqualDoubleScalar(col 5:double, val 988888.0)))
+ predicate: ((cboolean1 is not null and (cdouble = 988888.0)) or (cfloat < -6432) or (cstring2 is not null and (UDFToDouble(ctimestamp1) <= 12.503) and (UDFToDouble(ctimestamp2) <> 11.998))) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctimestamp1 (type: timestamp), cdouble (type: double), cboolean1 (type: boolean), cstring1 (type: string), cfloat (type: float), (- cdouble) (type: double), (-5638.15 - cdouble) (type: double), (cdouble * -257.0) (type: double), (UDFToFloat(cint) + cfloat) (type: float), ((- cdouble) + UDFToDouble(cbigint)) (type: double), (- cdouble) (type: double), (-1.389 - cfloat) (type: float), (- cfloat) (type: float), ((-5638.15 - cdouble) + UDFToDouble((UDFToFloat(cint) + cfloat))) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [8, 5, 10, 6, 4, 13, 14, 15, 17, 19, 16, 18, 20, 22]
+ selectExpressions: DoubleColUnaryMinus(col 5:double) -> 13:double, DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 14:double, DoubleColMultiplyDoubleScalar(col 5:double, val -257.0) -> 15:double, DoubleColAddDoubleColumn(col 16:float, col 4:float)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 16:float) -> 17:float, DoubleColAddDoubleColumn(col 16:double, col 18:double)(children: DoubleColUnaryMinus(col 5:double) -> 16:double, CastLongToDouble(col 3:bigint) -> 18:double) -> 19:double, DoubleColUnaryMinus(col 5:double) -> 16:double, DoubleScalarSubtractDoubleColumn(val -1.3890000581741333, col 4:float) -> 18:float, DoubleColUnaryMinus(col 4:float) -> 20:float, DoubleColAddDoubleColumn(col 21:double, col 23:double)(children: DoubleScalarSubtractDoubleColumn(val -5638.15, col 5:double) -> 21:double, col 23:float) -> 22:double
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: timestamp), _col1 (type: double), _col2 (type: boolean), _col3 (type: string), _col4 (type: float), _col5 (type: double), _col6 (type: double), _col7 (type: double), _col8 (type: float), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: float), _col13 (type: double)
+ 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: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: true
+ 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:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: timestamp), KEY.reducesinkkey1 (type: double), KEY.reducesinkkey2 (type: boolean), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: float), KEY.reducesinkkey5 (type: double), KEY.reducesinkkey6 (type: double), KEY.reducesinkkey7 (type: double), KEY.reducesinkkey8 (type: float), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey5 (type: double), KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: float), KEY.reducesinkkey13 (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, 4, 5, 6, 7, 8, 9, 5, 11, 12, 13]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 12.503)
+ AND (ctimestamp2 != 11.998)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 12.503)
+ AND (ctimestamp2 != 11.998)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+1969-12-31 15:59:30.929 -200.0 NULL NULL 12.0 200.0 -5438.15 51400.0 NULL 2.128824065E9 200.0 -13.389 -12.0 NULL
+1969-12-31 15:59:30.929 -200.0 NULL NULL 42.0 200.0 -5438.15 51400.0 NULL -5.78935585E8 200.0 -43.389 -42.0 NULL
+1969-12-31 15:59:30.929 -7196.0 NULL NULL 49.0 7196.0 1557.8500000000004 1849372.0 NULL 1.948230809E9 7196.0 -50.389 -49.0 NULL
+1969-12-31 15:59:30.929 15601.0 NULL NULL -54.0 -15601.0 -21239.15 -4009457.0 NULL -1.114185408E9 -15601.0 52.611 54.0 NULL
+1969-12-31 15:59:43.628 -200.0 NULL NULL 23.0 200.0 -5438.15 51400.0 NULL 2.034056161E9 200.0 -24.389 -23.0 NULL
+1969-12-31 15:59:43.637 -7196.0 NULL NULL -44.0 7196.0 1557.8500000000004 1849372.0 NULL 1.100301451E9 7196.0 42.611 44.0 NULL
+1969-12-31 15:59:43.64 -7196.0 NULL NULL -51.0 7196.0 1557.8500000000004 1849372.0 NULL -1.339157623E9 7196.0 49.611 51.0 NULL
+1969-12-31 15:59:43.661 -200.0 NULL NULL 13.0 200.0 -5438.15 51400.0 NULL -6.8063459E7 200.0 -14.389 -13.0 NULL
+1969-12-31 15:59:43.676 -200.0 NULL NULL -10.0 200.0 -5438.15 51400.0 NULL 8.34296111E8 200.0 8.611 10.0 NULL
+1969-12-31 15:59:43.705 15601.0 NULL NULL -12.0 -15601.0 -21239.15 -4009457.0 NULL 5.95398978E8 -15601.0 10.611 12.0 NULL
+1969-12-31 15:59:43.709 15601.0 NULL NULL 61.0 -15601.0 -21239.15 -4009457.0 NULL -1.55652257E8 -15601.0 -62.389 -61.0 NULL
+1969-12-31 15:59:43.72 -200.0 NULL NULL -18.0 200.0 -5438.15 51400.0 NULL 1.809037075E9 200.0 16.611 18.0 NULL
+1969-12-31 15:59:43.721 15601.0 NULL NULL 57.0 -15601.0 -21239.15 -4009457.0 NULL -1.465672807E9 -15601.0 -58.389 -57.0 NULL
+1969-12-31 15:59:43.749 -7196.0 NULL NULL -39.0 7196.0 1557.8500000000004 1849372.0 NULL 3.96436076E8 7196.0 37.611 39.0 NULL
+1969-12-31 15:59:43.771 15601.0 NULL NULL 49.0 -15601.0 -21239.15 -4009457.0 NULL -1.10733693E9 -15601.0 -50.389 -49.0 NULL
+1969-12-31 15:59:43.773 -200.0 NULL NULL -24.0 200.0 -5438.15 51400.0 NULL -1.046049502E9 200.0 22.611 24.0 NULL
+1969-12-31 15:59:43.782 -7196.0 NULL NULL 51.0 7196.0 1557.8500000000004 1849372.0 NULL -1.607339819E9 7196.0 -52.389 -51.0 NULL
+1969-12-31 15:59:43.783 -200.0 NULL NULL -11.0 200.0 -5438.15 51400.0 NULL 1.2116287E7 200.0 9.611 11.0 NULL
+1969-12-31 15:59:43.807 -7196.0 NULL NULL 42.0 7196.0 1557.8500000000004 1849372.0 NULL -5.98226333E8 7196.0 -43.389 -42.0 NULL
+1969-12-31 15:59:43.82 -7196.0 NULL NULL -30.0 7196.0 1557.8500000000004 1849372.0 NULL 1.329550715E9 7196.0 28.611 30.0 NULL
[28/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/authorization_show_grant.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/authorization_show_grant.q.out b/ql/src/test/results/clientpositive/authorization_show_grant.q.out
index d0fed81..b4dab78 100644
--- a/ql/src/test/results/clientpositive/authorization_show_grant.q.out
+++ b/ql/src/test/results/clientpositive/authorization_show_grant.q.out
@@ -107,6 +107,10 @@ default alltypesorc hive_test_user USER DELETE true -1 hive_test_user
default alltypesorc hive_test_user USER INSERT true -1 hive_test_user
default alltypesorc hive_test_user USER SELECT true -1 hive_test_user
default alltypesorc hive_test_user USER UPDATE true -1 hive_test_user
+default alltypesparquet hive_test_user USER DELETE true -1 hive_test_user
+default alltypesparquet hive_test_user USER INSERT true -1 hive_test_user
+default alltypesparquet hive_test_user USER SELECT true -1 hive_test_user
+default alltypesparquet hive_test_user USER UPDATE true -1 hive_test_user
default cbo_t1 hive_test_user USER DELETE true -1 hive_test_user
default cbo_t1 hive_test_user USER INSERT true -1 hive_test_user
default cbo_t1 hive_test_user USER SELECT true -1 hive_test_user
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/cte_5.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/cte_5.q.out b/ql/src/test/results/clientpositive/cte_5.q.out
index ac0dac0..3d7b324 100644
--- a/ql/src/test/results/clientpositive/cte_5.q.out
+++ b/ql/src/test/results/clientpositive/cte_5.q.out
@@ -47,6 +47,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/cte_mat_4.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/cte_mat_4.q.out b/ql/src/test/results/clientpositive/cte_mat_4.q.out
index bc92f14..572bbf2 100644
--- a/ql/src/test/results/clientpositive/cte_mat_4.q.out
+++ b/ql/src/test/results/clientpositive/cte_mat_4.q.out
@@ -21,6 +21,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
@@ -220,6 +221,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
@@ -260,6 +262,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
@@ -458,6 +461,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/cte_mat_5.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/cte_mat_5.q.out b/ql/src/test/results/clientpositive/cte_mat_5.q.out
index 3747cec..ca44108 100644
--- a/ql/src/test/results/clientpositive/cte_mat_5.q.out
+++ b/ql/src/test/results/clientpositive/cte_mat_5.q.out
@@ -47,6 +47,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/describe_table_json.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/describe_table_json.q.out b/ql/src/test/results/clientpositive/describe_table_json.q.out
index ebf15ac..3fc950f 100644
--- a/ql/src/test/results/clientpositive/describe_table_json.q.out
+++ b/ql/src/test/results/clientpositive/describe_table_json.q.out
@@ -12,7 +12,7 @@ PREHOOK: Input: database:default
POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
-{"tables":["alltypesorc","cbo_t1","cbo_t2","cbo_t3","jsontable","lineitem","part","src","src1","src_cbo","src_json","src_sequencefile","src_thrift","srcbucket","srcbucket2","srcpart"]}
+{"tables":["alltypesorc","alltypesparquet","cbo_t1","cbo_t2","cbo_t3","jsontable","lineitem","part","src","src1","src_cbo","src_json","src_sequencefile","src_thrift","srcbucket","srcbucket2","srcpart"]}
PREHOOK: query: SHOW TABLES LIKE 'json*'
PREHOOK: type: SHOWTABLES
PREHOOK: Input: database:default
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/drop_table_with_index.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/drop_table_with_index.q.out b/ql/src/test/results/clientpositive/drop_table_with_index.q.out
index 87c6978..7f8d7ae 100644
--- a/ql/src/test/results/clientpositive/drop_table_with_index.q.out
+++ b/ql/src/test/results/clientpositive/drop_table_with_index.q.out
@@ -79,6 +79,7 @@ POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
aa
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/index_creation.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/index_creation.q.out b/ql/src/test/results/clientpositive/index_creation.q.out
index ca113ef..49b3f11 100644
--- a/ql/src/test/results/clientpositive/index_creation.q.out
+++ b/ql/src/test/results/clientpositive/index_creation.q.out
@@ -304,6 +304,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/input2.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/input2.q.out b/ql/src/test/results/clientpositive/input2.q.out
index 4dac88a..9693131 100644
--- a/ql/src/test/results/clientpositive/input2.q.out
+++ b/ql/src/test/results/clientpositive/input2.q.out
@@ -46,6 +46,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
@@ -77,6 +78,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/input3.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/input3.q.out b/ql/src/test/results/clientpositive/input3.q.out
index 8316a46..db30111 100644
--- a/ql/src/test/results/clientpositive/input3.q.out
+++ b/ql/src/test/results/clientpositive/input3.q.out
@@ -38,6 +38,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
@@ -132,6 +133,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/llap/cte_5.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/cte_5.q.out b/ql/src/test/results/clientpositive/llap/cte_5.q.out
index 58a963b..717efd0 100644
--- a/ql/src/test/results/clientpositive/llap/cte_5.q.out
+++ b/ql/src/test/results/clientpositive/llap/cte_5.q.out
@@ -47,6 +47,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/llap/cte_mat_4.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/cte_mat_4.q.out b/ql/src/test/results/clientpositive/llap/cte_mat_4.q.out
index 1c5be08..292c467 100644
--- a/ql/src/test/results/clientpositive/llap/cte_mat_4.q.out
+++ b/ql/src/test/results/clientpositive/llap/cte_mat_4.q.out
@@ -21,6 +21,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
@@ -132,6 +133,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
@@ -172,6 +174,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
@@ -282,6 +285,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/llap/cte_mat_5.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/cte_mat_5.q.out b/ql/src/test/results/clientpositive/llap/cte_mat_5.q.out
index 0c22b72..f62c5b7 100644
--- a/ql/src/test/results/clientpositive/llap/cte_mat_5.q.out
+++ b/ql/src/test/results/clientpositive/llap/cte_mat_5.q.out
@@ -47,6 +47,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/llap/jdbc_handler.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/jdbc_handler.q.out b/ql/src/test/results/clientpositive/llap/jdbc_handler.q.out
index 74bd60b..7c5f9b5 100644
--- a/ql/src/test/results/clientpositive/llap/jdbc_handler.q.out
+++ b/ql/src/test/results/clientpositive/llap/jdbc_handler.q.out
@@ -85,6 +85,7 @@ POSTHOOK: Input: default@dbs
POSTHOOK: Input: default@tables
#### A masked pattern was here ####
alltypesorc default MANAGED_TABLE
+alltypesparquet default MANAGED_TABLE
cbo_t1 default MANAGED_TABLE
cbo_t2 default MANAGED_TABLE
cbo_t3 default MANAGED_TABLE
@@ -251,6 +252,7 @@ POSTHOOK: Input: default@src
POSTHOOK: Input: default@tables
#### A masked pattern was here ####
alltypesorc 2
+alltypesparquet 2
cbo_t1 2
cbo_t2 2
cbo_t3 2
@@ -274,6 +276,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/llap/temp_table.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/llap/temp_table.q.out b/ql/src/test/results/clientpositive/llap/temp_table.q.out
index e97b3dd..5a2f77f 100644
--- a/ql/src/test/results/clientpositive/llap/temp_table.q.out
+++ b/ql/src/test/results/clientpositive/llap/temp_table.q.out
@@ -400,6 +400,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
bar
bay
baz
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_read_backward_compatible_files.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_read_backward_compatible_files.q.out b/ql/src/test/results/clientpositive/parquet_read_backward_compatible_files.q.out
index 22a050a..48e1852 100644
--- a/ql/src/test/results/clientpositive/parquet_read_backward_compatible_files.q.out
+++ b/ql/src/test/results/clientpositive/parquet_read_backward_compatible_files.q.out
@@ -1,4 +1,4 @@
-PREHOOK: query: CREATE TABLE alltypesparquet (
+PREHOOK: query: CREATE TABLE alltypesparquet_old (
bo1 boolean,
ti1 tinyint,
si1 smallint,
@@ -13,8 +13,8 @@ PREHOOK: query: CREATE TABLE alltypesparquet (
) STORED AS PARQUET
PREHOOK: type: CREATETABLE
PREHOOK: Output: database:default
-PREHOOK: Output: default@alltypesparquet
-POSTHOOK: query: CREATE TABLE alltypesparquet (
+PREHOOK: Output: default@alltypesparquet_old
+POSTHOOK: query: CREATE TABLE alltypesparquet_old (
bo1 boolean,
ti1 tinyint,
si1 smallint,
@@ -29,21 +29,21 @@ POSTHOOK: query: CREATE TABLE alltypesparquet (
) STORED AS PARQUET
POSTHOOK: type: CREATETABLE
POSTHOOK: Output: database:default
-POSTHOOK: Output: default@alltypesparquet
-PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/alltypesparquet' OVERWRITE INTO TABLE alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_old
+PREHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/alltypesparquet' OVERWRITE INTO TABLE alltypesparquet_old
PREHOOK: type: LOAD
#### A masked pattern was here ####
-PREHOOK: Output: default@alltypesparquet
-POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/alltypesparquet' OVERWRITE INTO TABLE alltypesparquet
+PREHOOK: Output: default@alltypesparquet_old
+POSTHOOK: query: LOAD DATA LOCAL INPATH '../../data/files/alltypesparquet' OVERWRITE INTO TABLE alltypesparquet_old
POSTHOOK: type: LOAD
#### A masked pattern was here ####
-POSTHOOK: Output: default@alltypesparquet
-PREHOOK: query: SELECT * FROM alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_old
+PREHOOK: query: SELECT * FROM alltypesparquet_old
PREHOOK: type: QUERY
-PREHOOK: Input: default@alltypesparquet
+PREHOOK: Input: default@alltypesparquet_old
#### A masked pattern was here ####
-POSTHOOK: query: SELECT * FROM alltypesparquet
+POSTHOOK: query: SELECT * FROM alltypesparquet_old
POSTHOOK: type: QUERY
-POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Input: default@alltypesparquet_old
#### A masked pattern was here ####
true 10 100 1000 10000 4.0 20.0 hello {"k1":"v1"} [100,200] {"c1":10,"c2":"foo"}
[13/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_1.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_1.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_1.q.out
new file mode 100644
index 0000000..59a58e7
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_1.q.out
@@ -0,0 +1,217 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT VAR_POP(ctinyint),
+ (VAR_POP(ctinyint) / -26.28),
+ SUM(cfloat),
+ (-1.389 + SUM(cfloat)),
+ (SUM(cfloat) * (-1.389 + SUM(cfloat))),
+ MAX(ctinyint),
+ (-((SUM(cfloat) * (-1.389 + SUM(cfloat))))),
+ MAX(cint),
+ (MAX(cint) * 79.553),
+ VAR_SAMP(cdouble),
+ (10.175 % (-((SUM(cfloat) * (-1.389 + SUM(cfloat)))))),
+ COUNT(cint),
+ (-563 % MAX(cint))
+FROM alltypesparquet
+WHERE (((cdouble > ctinyint)
+ AND (cboolean2 > 0))
+ OR ((cbigint < ctinyint)
+ OR ((cint > cbigint)
+ OR (cboolean1 < 0))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT VAR_POP(ctinyint),
+ (VAR_POP(ctinyint) / -26.28),
+ SUM(cfloat),
+ (-1.389 + SUM(cfloat)),
+ (SUM(cfloat) * (-1.389 + SUM(cfloat))),
+ MAX(ctinyint),
+ (-((SUM(cfloat) * (-1.389 + SUM(cfloat))))),
+ MAX(cint),
+ (MAX(cint) * 79.553),
+ VAR_SAMP(cdouble),
+ (10.175 % (-((SUM(cfloat) * (-1.389 + SUM(cfloat)))))),
+ COUNT(cint),
+ (-563 % MAX(cint))
+FROM alltypesparquet
+WHERE (((cdouble > ctinyint)
+ AND (cboolean2 > 0))
+ OR ((cbigint < ctinyint)
+ OR ((cint > cbigint)
+ OR (cboolean1 < 0))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterDoubleColGreaterDoubleColumn(col 5:double, col 13:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), FilterLongColGreaterLongScalar(col 11:boolean, val 0)), FilterLongColLessLongColumn(col 3:bigint, col 0:bigint)(children: col 0:tinyint), FilterLongColGreaterLongColumn(col 2:bigint, col 3:bigint)(children: col 2:int), FilterLongColLessLongScalar(col 10:boolean, val 0))
+ predicate: (((cdouble > UDFToDouble(ctinyint)) and (cboolean2 > 0)) or (UDFToLong(cint) > cbigint) or (cbigint < UDFToLong(ctinyint)) or (cboolean1 < 0)) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cint (type: int), cfloat (type: float), cdouble (type: double)
+ outputColumnNames: ctinyint, cint, cfloat, cdouble
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4, 5]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: var_pop(ctinyint), sum(cfloat), max(ctinyint), max(cint), var_samp(cdouble), count(cint)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFMaxLong(col 0:tinyint) -> tinyint, VectorUDAFMaxLong(col 2:int) -> int, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: var_samp, VectorUDAFCount(col 2:int) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0, 1, 2, 3, 4, 5]
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,variance:double>), _col1 (type: double), _col2 (type: tinyint), _col3 (type: int), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 2, 3, 4, 5, 10, 11]
+ 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: [double]
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 6
+ dataColumns: VALUE._col0:struct<count:bigint,sum:double,variance:double>, VALUE._col1:double, VALUE._col2:tinyint, VALUE._col3:int, VALUE._col4:struct<count:bigint,sum:double,variance:double>, VALUE._col5:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: var_pop(VALUE._col0), sum(VALUE._col1), max(VALUE._col2), max(VALUE._col3), var_samp(VALUE._col4), count(VALUE._col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarFinal(col 0:struct<count:bigint,sum:double,variance:double>) -> double aggregation: var_pop, VectorUDAFSumDouble(col 1:double) -> double, VectorUDAFMaxLong(col 2:tinyint) -> tinyint, VectorUDAFMaxLong(col 3:int) -> int, VectorUDAFVarFinal(col 4:struct<count:bigint,sum:double,variance:double>) -> double aggregation: var_samp, 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: 184 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: double), (_col0 / -26.28) (type: double), _col1 (type: double), (-1.389 + _col1) (type: double), (_col1 * (-1.389 + _col1)) (type: double), _col2 (type: tinyint), (- (_col1 * (-1.389 + _col1))) (type: double), _col3 (type: int), (CAST( _col3 AS decimal(10,0)) * 79.553) (type: decimal(16,3)), _col4 (type: double), (10.175 % (- (_col1 * (-1.389 + _col1)))) (type: double), _col5 (type: bigint), (-563 % _col3) (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 6, 1, 7, 9, 2, 8, 3, 12, 4, 13, 5, 14]
+ selectExpressions: DoubleColDivideDoubleScalar(col 0:double, val -26.28) -> 6:double, DoubleScalarAddDoubleColumn(val -1.389, col 1:double) -> 7:double, DoubleColMultiplyDoubleColumn(col 1:double, col 8:double)(children: DoubleScalarAddDoubleColumn(val -1.389, col 1:double) -> 8:double) -> 9:double, DoubleColUnaryMinus(col 10:double)(children: DoubleColMultiplyDoubleColumn(col 1:double, col 8:double)(children: DoubleScalarAddDoubleColumn(val -1.389, col 1:double) -> 8:double) -> 10:double) -> 8:double, DecimalColMultiplyDecimalScalar(col 11:decimal(10,0), val 79.553)(children: CastLongToDecimal(col 3:int) -> 11:decimal(10,0)) -> 12:decimal(16,3), DoubleScalarModuloDoubleColumn(val 10.175, col 10:double)(children: DoubleColUnaryMinus(col 13:double)(children: DoubleColMultiplyDoubleColumn(col 1:double, col 10:double)(children: DoubleScalarAddDoubleColumn(val -1.389, col 1:double) -> 10:double) -> 13:double) -> 10:double) -> 13:double, LongScalarModuloLongColumn(v
al -563, col 3:int) -> 14:int
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 1 Data size: 184 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT VAR_POP(ctinyint),
+ (VAR_POP(ctinyint) / -26.28),
+ SUM(cfloat),
+ (-1.389 + SUM(cfloat)),
+ (SUM(cfloat) * (-1.389 + SUM(cfloat))),
+ MAX(ctinyint),
+ (-((SUM(cfloat) * (-1.389 + SUM(cfloat))))),
+ MAX(cint),
+ (MAX(cint) * 79.553),
+ VAR_SAMP(cdouble),
+ (10.175 % (-((SUM(cfloat) * (-1.389 + SUM(cfloat)))))),
+ COUNT(cint),
+ (-563 % MAX(cint))
+FROM alltypesparquet
+WHERE (((cdouble > ctinyint)
+ AND (cboolean2 > 0))
+ OR ((cbigint < ctinyint)
+ OR ((cint > cbigint)
+ OR (cboolean1 < 0))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT VAR_POP(ctinyint),
+ (VAR_POP(ctinyint) / -26.28),
+ SUM(cfloat),
+ (-1.389 + SUM(cfloat)),
+ (SUM(cfloat) * (-1.389 + SUM(cfloat))),
+ MAX(ctinyint),
+ (-((SUM(cfloat) * (-1.389 + SUM(cfloat))))),
+ MAX(cint),
+ (MAX(cint) * 79.553),
+ VAR_SAMP(cdouble),
+ (10.175 % (-((SUM(cfloat) * (-1.389 + SUM(cfloat)))))),
+ COUNT(cint),
+ (-563 % MAX(cint))
+FROM alltypesparquet
+WHERE (((cdouble > ctinyint)
+ AND (cboolean2 > 0))
+ OR ((cbigint < ctinyint)
+ OR ((cint > cbigint)
+ OR (cboolean1 < 0))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+1074.830257547229 -40.89917266161449 -21997.674998402596 -21999.063998402595 4.839282601059194E8 62 -4.839282601059194E8 1073680599 85414512692.247 7.569848642620903E10 10.175 3745 -563
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_10.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_10.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_10.q.out
new file mode 100644
index 0000000..25ff960
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_10.q.out
@@ -0,0 +1,412 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cdouble,
+ ctimestamp1,
+ ctinyint,
+ cboolean1,
+ cstring1,
+ (-(cdouble)),
+ (cdouble + csmallint),
+ ((cdouble + csmallint) % 33),
+ (-(cdouble)),
+ (ctinyint % cdouble),
+ (ctinyint % csmallint),
+ (-(cdouble)),
+ (cbigint * (ctinyint % csmallint)),
+ (9763215.5639 - (cdouble + csmallint)),
+ (-((-(cdouble))))
+FROM alltypesparquet
+WHERE (((cstring2 <= '10')
+ OR ((ctinyint > cdouble)
+ AND (-5638.15 >= ctinyint)))
+ OR ((cdouble > 6981)
+ AND ((csmallint = 9763215.5639)
+ OR (cstring1 LIKE '%a'))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cdouble,
+ ctimestamp1,
+ ctinyint,
+ cboolean1,
+ cstring1,
+ (-(cdouble)),
+ (cdouble + csmallint),
+ ((cdouble + csmallint) % 33),
+ (-(cdouble)),
+ (ctinyint % cdouble),
+ (ctinyint % csmallint),
+ (-(cdouble)),
+ (cbigint * (ctinyint % csmallint)),
+ (9763215.5639 - (cdouble + csmallint)),
+ (-((-(cdouble))))
+FROM alltypesparquet
+WHERE (((cstring2 <= '10')
+ OR ((ctinyint > cdouble)
+ AND (-5638.15 >= ctinyint)))
+ OR ((cdouble > 6981)
+ AND ((csmallint = 9763215.5639)
+ OR (cstring1 LIKE '%a'))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterStringGroupColLessEqualStringScalar(col 7:string, val 10), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleColumn(col 13:double, col 5:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), FilterDecimalScalarGreaterEqualDecimalColumn(val -5638.15, col 14:decimal(6,2))(children: CastLongToDecimal(col 0:tinyint) -> 14:decimal(6,2))), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 5:double, val 6981.0), FilterExprOrExpr(children: FilterDecimalColEqualDecimalScalar(col 15:decimal(11,4), val 9763215.5639)(children: CastLongToDecimal(col 1:smallint) -> 15:decimal(11,4)), FilterStringColLikeStringScalar(col 6:string, pattern %a))))
+ predicate: (((UDFToDouble(ctinyint) > cdouble) and (-5638.15 >= CAST( ctinyint AS decimal(6,2)))) or ((cdouble > 6981.0) and ((CAST( csmallint AS decimal(11,4)) = 9763215.5639) or (cstring1 like '%a'))) or (cstring2 <= '10')) (type: boolean)
+ Statistics: Num rows: 9557 Data size: 114684 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cdouble (type: double), ctimestamp1 (type: timestamp), ctinyint (type: tinyint), cboolean1 (type: boolean), cstring1 (type: string), (- cdouble) (type: double), (cdouble + UDFToDouble(csmallint)) (type: double), ((cdouble + UDFToDouble(csmallint)) % 33.0) (type: double), (- cdouble) (type: double), (UDFToDouble(ctinyint) % cdouble) (type: double), (UDFToShort(ctinyint) % csmallint) (type: smallint), (- cdouble) (type: double), (cbigint * UDFToLong((UDFToShort(ctinyint) % csmallint))) (type: bigint), (9763215.5639 - (cdouble + UDFToDouble(csmallint))) (type: double), (- (- cdouble)) (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: [5, 8, 0, 10, 6, 13, 17, 16, 18, 20, 21, 19, 23, 24, 26]
+ selectExpressions: DoubleColUnaryMinus(col 5:double) -> 13:double, DoubleColAddDoubleColumn(col 5:double, col 16:double)(children: CastLongToDouble(col 1:smallint) -> 16:double) -> 17:double, DoubleColModuloDoubleScalar(col 18:double, val 33.0)(children: DoubleColAddDoubleColumn(col 5:double, col 16:double)(children: CastLongToDouble(col 1:smallint) -> 16:double) -> 18:double) -> 16:double, DoubleColUnaryMinus(col 5:double) -> 18:double, DoubleColModuloDoubleColumn(col 19:double, col 5:double)(children: CastLongToDouble(col 0:tinyint) -> 19:double) -> 20:double, LongColModuloLongColumn(col 0:smallint, col 1:smallint)(children: col 0:tinyint) -> 21:smallint, DoubleColUnaryMinus(col 5:double) -> 19:double, LongColMultiplyLongColumn(col 3:bigint, col 22:bigint)(children: col 22:smallint) -> 23:bigint, DoubleScalarSubtractDoubleColumn(val 9763215.5639, col 25:double)(children: DoubleColAddDoubleColumn(col 5:double, col 24:double)(children: CastLongToDouble(col
1:smallint) -> 24:double) -> 25:double) -> 24:double, DoubleColUnaryMinus(col 25:double)(children: DoubleColUnaryMinus(col 5:double) -> 25:double) -> 26:double
+ Statistics: Num rows: 9557 Data size: 114684 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 9557 Data size: 114684 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 3, 5, 6, 7, 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: [double, decimal(6,2), decimal(11,4), double, double, double, double, double, bigint, bigint, bigint, double, double, double]
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cdouble,
+ ctimestamp1,
+ ctinyint,
+ cboolean1,
+ cstring1,
+ (-(cdouble)),
+ (cdouble + csmallint),
+ ((cdouble + csmallint) % 33),
+ (-(cdouble)),
+ (ctinyint % cdouble),
+ (ctinyint % csmallint),
+ (-(cdouble)),
+ (cbigint * (ctinyint % csmallint)),
+ (9763215.5639 - (cdouble + csmallint)),
+ (-((-(cdouble))))
+FROM alltypesparquet
+WHERE (((cstring2 <= '10')
+ OR ((ctinyint > cdouble)
+ AND (-5638.15 >= ctinyint)))
+ OR ((cdouble > 6981)
+ AND ((csmallint = 9763215.5639)
+ OR (cstring1 LIKE '%a'))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cdouble,
+ ctimestamp1,
+ ctinyint,
+ cboolean1,
+ cstring1,
+ (-(cdouble)),
+ (cdouble + csmallint),
+ ((cdouble + csmallint) % 33),
+ (-(cdouble)),
+ (ctinyint % cdouble),
+ (ctinyint % csmallint),
+ (-(cdouble)),
+ (cbigint * (ctinyint % csmallint)),
+ (9763215.5639 - (cdouble + csmallint)),
+ (-((-(cdouble))))
+FROM alltypesparquet
+WHERE (((cstring2 <= '10')
+ OR ((ctinyint > cdouble)
+ AND (-5638.15 >= ctinyint)))
+ OR ((cdouble > 6981)
+ AND ((csmallint = 9763215.5639)
+ OR (cstring1 LIKE '%a'))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
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+15601.0 1969-12-31 15:59:53.279 -11 NULL NULL -15601.0 31202.0 17.0 -15601.0 -11.0 -11 -15601.0 -19558985941 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:53.715 -44 NULL NULL -15601.0 31202.0 17.0 -15601.0 -44.0 -44 -15601.0 3342918304 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:54.253 -44 NULL NULL -15601.0 31202.0 17.0 -15601.0 -44.0 -44 -15601.0 -11984211184 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:54.384 -59 NULL NULL -15601.0 31202.0 17.0 -15601.0 -59.0 -59 -15601.0 -109154505771 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:54.524 52 NULL NULL -15601.0 31202.0 17.0 -15601.0 52.0 52 -15601.0 80665657592 9732013.5639 15601.0
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+15601.0 1969-12-31 15:59:58.704 -55 NULL NULL -15601.0 31202.0 17.0 -15601.0 -55.0 -55 -15601.0 73626727075 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:02.401 30 NULL NULL -15601.0 31202.0 17.0 -15601.0 30.0 30 -15601.0 61004562030 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:03.888 -23 NULL NULL -15601.0 31202.0 17.0 -15601.0 -23.0 -23 -15601.0 48400325149 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:04.063 33 NULL NULL -15601.0 31202.0 17.0 -15601.0 33.0 33 -15601.0 -47936367534 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:05.007 35 NULL NULL -15601.0 31202.0 17.0 -15601.0 35.0 35 -15601.0 74309762800 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:05.334 22 NULL NULL -15601.0 31202.0 17.0 -15601.0 22.0 22 -15601.0 -41268959688 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:05.83 -49 NULL NULL -15601.0 31202.0 17.0 -15601.0 -49.0 -49 -15601.0 -11115220466 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:09.123 -14 NULL NULL -15601.0 31202.0 17.0 -15601.0 -14.0 -14 -15601.0 -14100538704 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:11.928 -32 NULL NULL -15601.0 31202.0 17.0 -15601.0 -32.0 -32 -15601.0 -54463594144 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:14.175 -50 NULL NULL -15601.0 31202.0 17.0 -15601.0 -50.0 -50 -15601.0 -35817486300 9732013.5639 15601.0
+8801.0 NULL NULL false 5712We1FSa -8801.0 17602.0 13.0 -8801.0 NULL NULL -8801.0 NULL 9745613.5639 8801.0
+NULL 1969-12-31 16:00:02.351 11 false 0rtl1C NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false 1j3rth56N41X17c1S NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false 6a421YV NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false Bgk2cxNJk7f4rMmW38Dl3S1 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false G2s1ly NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false H5alUwndRKm NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false K11m3K43m5XFX40RJm1q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false M7xB374ixGAp NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false SN5NB5L3gpe2RtR2w50sNAd NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false V2NEmm6d0kLFGa5s01k NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false eicMhR0nJt12OH7IO2651bO NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false g552y0x1B4n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false gk0kJenBW237uQoxGBx36 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false l3r8T4QgT63 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false ve4Pgoehe6vhmYVLpP NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false w6173j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false woeLEb NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false y605nF0K3mMoM75j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 16L335OgyOKH4565 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 1V07gCB41Psbr5xtLiK4E NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 3Fhv1QY7Y776eQ38a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 5NM44RohO4r6 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 6AmfdSoTPmVvXdgM8CP20sx NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 6t557nSSrg1s0Q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 70070HP7Kb8Lrj NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 8s0kR1e4QVV7QO NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 8tVuiCkFtGW5KX NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true Bsi3VIb NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true F8iVJQQdC6O4 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true II1600yobW7p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true LP5AMypx5 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true N2Jfon7dyCN2Pmm1JA NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true Nmt6E360X6dpX58CR2 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true a3EhVU6Wuy7ycJ7wY7h2gv NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true cd6Xc861fDCGe NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true gjsL355dId0aH1mj0yGky1 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true kfUgQ2uGN8a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true qlspyY30jeWkAcB1ptQ4co0 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true s456h8r2b0jAt4Ni3qopHCxS NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true ySAfuiG2vJNn5TR5 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true yc2pX4jTI0xKh5xTys NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 121307nh6r0H31Mg NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 12yT2agBjx3yQ NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 1M4eTm8OcOW2dAMV2V5slS1 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 2M106hVFEhu NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 37p34Jc2nloL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 4l6OX60y NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 74nRe6WYOO7MD7632BOS NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 8AqHq NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 8Jvom23dkWvvqv81DY5Ub3 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 8l433e5J6I0fj0PM NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false EXWsAOlGYtb053ExF6u5FLyb NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false G2P1ogIIyMgo6j2a27egS NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false GlCK4Dw7uIb1bsY NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false J0VTT0R8t1JcxdoOO NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false J8p4pS3A8G75Ct2 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false JVCOfSTVb NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
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+NULL 1969-12-31 16:00:08.451 -51 false QgA6r86x0JrfdHuM NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false T0Gq3D4N50YY48AG8OQBqTU NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false WUQQRWTJ1wK1H4 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false c23S6Ky4w7Ld21lAbB NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false d1N0u454kG87DN3o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false d3yQbTLvpGyi0 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false fkA37sOkxCp44hlIKV NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false rLL8VlwJ0P NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false s038hX0U8 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false sU1VhRD0P3w47WU66 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false tyt5Bwxxe NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false uUTO41xk6VyqYPh NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false vgd8P8Ff1n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false vmD7YLtKX0c4y2uU NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false xgPW6tMwuNv67I0q2227 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 1Iry1n1c NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 3StDSaH7 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 3yeq763N NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 4k1RqRL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 7LdfF1415i51qpmHQI NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 7bD30suWFdI4o5Jp6m NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true Bb2AdwWmQOcwJhqF NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true Cw412mnXhN1F NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true M76D058tDDD25v3g NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true ON30Mh8A8 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true OqM62X0G3j7XpBOTt70 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true S0LP25K12US3 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true YX250 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true j83cOtj22H5Aje7H3 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true jd4MshHSjPOuq1b2T NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true nOF31ehjY7ULCHMf NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true q2bIHkxaKKv7uD NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false 0m8aHX5yF5muTQW NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false 0siU5JLRoUBPi88Kenqg4 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
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+NULL 1969-12-31 16:00:15.892 8 false 1AQR8H78mO7jyb2PBF NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false 31rhe NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
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+NULL 1969-12-31 16:00:15.892 8 false 8JNVrH3Lasa826 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false BwXBC7rU57 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false M3Vcm3o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false W4TEt52sKL0ndx4jeCahICDW NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false Xi7kOTT NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false e13dNAo71UXm4Yt1u NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false eIyS41R32 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
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+NULL 1969-12-31 16:00:15.892 8 false iEb04t2x333EF5wHoKRs6oKB NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
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+NULL 1969-12-31 16:00:15.892 8 false s3WL6smnb7 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false uHkBp64 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 06Q47xVf1d5JSdb NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 07Hofhidd5ClnNx8jTl1 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 1w7DPjq NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 41PLN7aXgP57M4Rr3 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 4A7p4HkPm01W0 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 7GCfB5odqYDW1gq7iBWJ NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
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+NULL 1969-12-31 16:00:15.892 8 true 8Fx0J88 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true A30e7a8ia36g25YQc8xTXBgB NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true N334idEn4hyyO64 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true Pc18F2c6iW766Vd NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true Q0PCmMLk NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true b NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true bc014i7354F36p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true i6G060 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true oibQ623k5v33kBUK8Q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true p3DvmcsqP6xMf NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true poE6hx8xV36vG NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true pq2i0NL1cRlR3CpAj082 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true q6iS3txi22Rj22Ks4Dd NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true woiNv162mnSJ NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true x6WK1U14M7IlWw NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_11.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_11.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_11.q.out
new file mode 100644
index 0000000..e2d8465
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_11.q.out
@@ -0,0 +1,176 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cboolean1,
+ cdouble,
+ ctimestamp1,
+ (-3728 * csmallint),
+ (cdouble - 9763215.5639),
+ (-(cdouble)),
+ ((-(cdouble)) + 6981),
+ (cdouble * -5638.15)
+FROM alltypesparquet
+WHERE ((cstring2 = cstring1)
+ OR ((ctimestamp1 IS NULL)
+ AND (cstring1 LIKE '%a')))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cboolean1,
+ cdouble,
+ ctimestamp1,
+ (-3728 * csmallint),
+ (cdouble - 9763215.5639),
+ (-(cdouble)),
+ ((-(cdouble)) + 6981),
+ (cdouble * -5638.15)
+FROM alltypesparquet
+WHERE ((cstring2 = cstring1)
+ OR ((ctimestamp1 IS NULL)
+ AND (cstring1 LIKE '%a')))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringGroupColumn(col 7:string, col 6:string), FilterExprAndExpr(children: SelectColumnIsNull(col 8:timestamp), FilterStringColLikeStringScalar(col 6:string, pattern %a)))
+ predicate: ((cstring2 = cstring1) or (ctimestamp1 is null and (cstring1 like '%a'))) (type: boolean)
+ Statistics: Num rows: 9216 Data size: 110592 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cstring1 (type: string), cboolean1 (type: boolean), cdouble (type: double), ctimestamp1 (type: timestamp), (-3728 * UDFToInteger(csmallint)) (type: int), (cdouble - 9763215.5639) (type: double), (- cdouble) (type: double), ((- cdouble) + 6981.0) (type: double), (cdouble * -5638.15) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [6, 10, 5, 8, 13, 14, 15, 17, 16]
+ selectExpressions: LongScalarMultiplyLongColumn(val -3728, col 1:int)(children: col 1:smallint) -> 13:int, DoubleColSubtractDoubleScalar(col 5:double, val 9763215.5639) -> 14:double, DoubleColUnaryMinus(col 5:double) -> 15:double, DoubleColAddDoubleScalar(col 16:double, val 6981.0)(children: DoubleColUnaryMinus(col 5:double) -> 16:double) -> 17:double, DoubleColMultiplyDoubleScalar(col 5:double, val -5638.15) -> 16:double
+ Statistics: Num rows: 9216 Data size: 110592 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 9216 Data size: 110592 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [1, 5, 6, 7, 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, double, double, double, double]
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cstring1,
+ cboolean1,
+ cdouble,
+ ctimestamp1,
+ (-3728 * csmallint),
+ (cdouble - 9763215.5639),
+ (-(cdouble)),
+ ((-(cdouble)) + 6981),
+ (cdouble * -5638.15)
+FROM alltypesparquet
+WHERE ((cstring2 = cstring1)
+ OR ((ctimestamp1 IS NULL)
+ AND (cstring1 LIKE '%a')))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cstring1,
+ cboolean1,
+ cdouble,
+ ctimestamp1,
+ (-3728 * csmallint),
+ (cdouble - 9763215.5639),
+ (-(cdouble)),
+ ((-(cdouble)) + 6981),
+ (cdouble * -5638.15)
+FROM alltypesparquet
+WHERE ((cstring2 = cstring1)
+ OR ((ctimestamp1 IS NULL)
+ AND (cstring1 LIKE '%a')))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+055VA1s2XC7q70aD8S0PLpa true -12485.0 NULL 46544080 -9775700.5639 12485.0 19466.0 7.039230275E7
+067wD7F8YQ8h32jPa true -16012.0 NULL 59692736 -9779227.5639 16012.0 22993.0 9.02780578E7
+0AP3HERf5Ra true 5045.0 NULL -18807760 -9758170.5639 -5045.0 1936.0 -2.844446675E7
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[16/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_div0.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_div0.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_div0.q.out
new file mode 100644
index 0000000..4a5cca6
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_div0.q.out
@@ -0,0 +1,569 @@
+PREHOOK: query: explain vectorization expression
+select cdouble / 0.0 from alltypesparquet limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select cdouble / 0.0 from alltypesparquet 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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Select Operator
+ expressions: (cdouble / 0.0) (type: double)
+ outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [13]
+ selectExpressions: DoubleColDivideDoubleScalar(col 5:double, val 0.0) -> 13:double
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 100 Data size: 1200 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 100 Data size: 1200 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 100
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select cdouble / 0.0 from alltypesparquet limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select cdouble / 0.0 from alltypesparquet limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
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+NULL
+NULL
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+NULL
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+NULL
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+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+PREHOOK: query: explain vectorization expression
+select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / (cbigint - 988888L)
+from alltypesparquet where cbigint > 0 and cbigint < 100000000 order by s1, s2 limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / (cbigint - 988888L)
+from alltypesparquet where cbigint > 0 and cbigint < 100000000 order by s1, s2 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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColGreaterLongScalar(col 3:bigint, val 0), FilterLongColLessLongScalar(col 3:bigint, val 100000000))
+ predicate: ((cbigint < 100000000) and (cbigint > 0)) (type: boolean)
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: (cbigint - 988888) (type: bigint), (cdouble / UDFToDouble((cbigint - 988888))) (type: double), (1.2 / CAST( (cbigint - 988888) AS decimal(19,0))) (type: decimal(22,21))
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [13, 16, 18]
+ selectExpressions: LongColSubtractLongScalar(col 3:bigint, val 988888) -> 13:bigint, DoubleColDivideDoubleColumn(col 5:double, col 15:double)(children: CastLongToDouble(col 14:bigint)(children: LongColSubtractLongScalar(col 3:bigint, val 988888) -> 14:bigint) -> 15:double) -> 16:double, DecimalScalarDivideDecimalColumn(val 1.2, col 17:decimal(19,0))(children: CastLongToDecimal(col 14:bigint)(children: LongColSubtractLongScalar(col 3:bigint, val 988888) -> 14:bigint) -> 17:decimal(19,0)) -> 18:decimal(22,21)
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: bigint), _col1 (type: double)
+ sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col2 (type: decimal(22,21))
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: bigint), KEY.reducesinkkey1 (type: double), VALUE._col0 (type: decimal(22,21))
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 100
+ Statistics: Num rows: 100 Data size: 1200 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 100 Data size: 1200 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 100
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / (cbigint - 988888L)
+from alltypesparquet where cbigint > 0 and cbigint < 100000000 order by s1, s2 limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / (cbigint - 988888L)
+from alltypesparquet where cbigint > 0 and cbigint < 100000000 order by s1, s2 limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-985319 NULL -0.000001217879691754650
+-985319 2.0297994862577501E-4 -0.000001217879691754650
+-63925 0.11256941728588189 -0.000018771998435666797
+0 NULL NULL
+0 NULL NULL
+0 NULL NULL
+0 NULL NULL
+0 NULL NULL
+0 NULL NULL
+0 NULL NULL
+0 NULL NULL
+0 NULL NULL
+392309 NULL 0.000003058813333367320
+673083 -0.010691103474608629 0.000001782841046349410
+2331159 NULL 0.000000514765402102559
+2342037 NULL 0.000000512374484263058
+3533105 -5.660743170667161E-5 0.000000339644590240030
+3768727 0.004139594085748318 0.000000318409903397089
+4728619 NULL 0.000000253773881972728
+5391403 NULL 0.000000222576572369010
+7022666 -0.0010246820794268159 0.000000170875277280736
+7470430 NULL 0.000000160633323650714
+8276429 NULL 0.000000144990067576246
+8286860 -8.683626850218298E-4 0.000000144807562816314
+8299981 -8.669899364829872E-4 0.000000144578644216174
+9247593 NULL 0.000000129763496295739
+9821695 -7.326637611939691E-4 0.000000122178503812224
+10000738 0.001559984873116364 0.000000119991144653525
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+17247320 -4.172242412154468E-4 0.000000069576026884177
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+19498517 NULL 0.000000061543141973310
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+25154198 -2.860755091456305E-4 0.000000047705754721339
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+28698999 5.43607810153936E-4 0.000000041813305056389
+28806400 -6.9429015774272385E-6 0.000000041657409464563
+29920877 5.214085135271938E-4 0.000000040105776311303
+33126539 NULL 0.000000036224732079617
+34603086 NULL 0.000000034678987879867
+35156265 NULL 0.000000034133318769784
+35862260 NULL 0.000000033461360215447
+36123797 -1.992038655294182E-4 0.000000033219099310075
+36341671 -1.980096072082101E-4 0.000000033019945615599
+36413215 -5.4925114412446145E-6 0.000000032955068647468
+36578596 4.2650625518814335E-4 0.000000032806070522772
+36796441 -1.955623914823719E-4 0.000000032611849607955
+39723587 NULL 0.000000030208752296211
+39985709 -1.7996429674411925E-4 0.000000030010722080731
+40018606 NULL 0.000000029986051987918
+41003161 NULL 0.000000029266036342905
+41158231 3.790493328053871E-4 0.000000029155772025285
+41848817 NULL 0.000000028674645689507
+44047567 -1.633688416888043E-4 0.000000027243275434487
+45125678 NULL 0.000000026592398234992
+45180154 NULL 0.000000026560334433566
+45717793 3.4124569399052136E-4 0.000000026247986205283
+46163162 NULL 0.000000025994753132379
+46525838 3.353190543284787E-4 0.000000025792120068853
+48626663 NULL 0.000000024677819244969
+49102701 -1.465499830650864E-4 0.000000024438574163161
+50300445 -1.4306036457530346E-4 0.000000023856647789100
+50929325 -1.412938420055636E-4 0.000000023562063702984
+52422534 -1.3726921327381848E-4 0.000000022890919389742
+52667422 2.9621727070673783E-4 0.000000022784483356713
+52962061 2.945693522010029E-4 0.000000022657728520044
+53695172 NULL 0.000000022348377988248
+54760317 NULL 0.000000021913678841560
+55020655 2.835480602693661E-4 0.000000021809991175132
+56102034 NULL 0.000000021389598815615
+56131313 NULL 0.000000021378441655195
+56838351 -3.5187509222426247E-6 0.000000021112505533456
+56997841 -3.5089048372902406E-6 0.000000021053429023741
+57778807 -1.2454393528755274E-4 0.000000020768860803928
+58080381 NULL 0.000000020661021490200
+58307527 NULL 0.000000020580533281749
+58536385 -1.2293208745295768E-4 0.000000020500070170032
+59347745 NULL 0.000000020219807846111
+60229567 NULL 0.000000019923769334088
+60330397 NULL 0.000000019890470801974
+PREHOOK: query: explain vectorization expression
+select (cdouble + 200.0) as s1, cbigint / (cdouble + 200.0) as s2, (cdouble + 200.0) / (cdouble + 200.0), cbigint / (cdouble + 200.0), 3 / (cdouble + 200.0), 1.2 / (cdouble + 200.0)
+from alltypesparquet where cdouble >= -500 and cdouble < -199 order by s1, s2 limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select (cdouble + 200.0) as s1, cbigint / (cdouble + 200.0) as s2, (cdouble + 200.0) / (cdouble + 200.0), cbigint / (cdouble + 200.0), 3 / (cdouble + 200.0), 1.2 / (cdouble + 200.0)
+from alltypesparquet where cdouble >= -500 and cdouble < -199 order by s1, s2 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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDoubleColGreaterEqualDoubleScalar(col 5:double, val -500.0), FilterDoubleColLessDoubleScalar(col 5:double, val -199.0))
+ predicate: ((cdouble < -199.0) and (cdouble >= -500.0)) (type: boolean)
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: (cdouble + 200.0) (type: double), (UDFToDouble(cbigint) / (cdouble + 200.0)) (type: double), ((cdouble + 200.0) / (cdouble + 200.0)) (type: double), (3.0 / (cdouble + 200.0)) (type: double), (1.2 / (cdouble + 200.0)) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [13, 16, 17, 15, 18]
+ selectExpressions: DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 13:double, DoubleColDivideDoubleColumn(col 14:double, col 15:double)(children: CastLongToDouble(col 3:bigint) -> 14:double, DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 15:double) -> 16:double, DoubleColDivideDoubleColumn(col 14:double, col 15:double)(children: DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 14:double, DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 15:double) -> 17:double, DoubleScalarDivideDoubleColumn(val 3.0, col 14:double)(children: DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 14:double) -> 15:double, DoubleScalarDivideDoubleColumn(val 1.2, col 14:double)(children: DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 14:double) -> 18:double
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double), _col1 (type: double)
+ sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col2 (type: double), _col4 (type: double), _col5 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: double), KEY.reducesinkkey1 (type: double), VALUE._col0 (type: double), KEY.reducesinkkey1 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 100
+ Statistics: Num rows: 100 Data size: 1200 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 100 Data size: 1200 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 100
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select (cdouble + 200.0) as s1, cbigint / (cdouble + 200.0) as s2, (cdouble + 200.0) / (cdouble + 200.0), cbigint / (cdouble + 200.0), 3 / (cdouble + 200.0), 1.2 / (cdouble + 200.0)
+from alltypesparquet where cdouble >= -500 and cdouble < -199 order by s1, s2 limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select (cdouble + 200.0) as s1, cbigint / (cdouble + 200.0) as s2, (cdouble + 200.0) / (cdouble + 200.0), cbigint / (cdouble + 200.0), 3 / (cdouble + 200.0), 1.2 / (cdouble + 200.0)
+from alltypesparquet where cdouble >= -500 and cdouble < -199 order by s1, s2 limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-292.0 NULL 1.0 NULL -0.010273972602739725 -0.00410958904109589
+-290.0 NULL 1.0 NULL -0.010344827586206896 -0.004137931034482759
+-289.0 NULL 1.0 NULL -0.010380622837370242 -0.004152249134948096
+-281.0 NULL 1.0 NULL -0.010676156583629894 -0.004270462633451957
+-279.0 NULL 1.0 NULL -0.010752688172043012 -0.004301075268817204
+-274.0 6888911.518248175 1.0 6888911.518248175 -0.010948905109489052 -0.00437956204379562
+-273.0 6028764.868131869 1.0 6028764.868131869 -0.01098901098901099 -0.004395604395604396
+-257.0 6404096.53307393 1.0 6404096.53307393 -0.011673151750972763 -0.004669260700389105
+-250.0 6583411.236 1.0 6583411.236 -0.012 -0.0048
+-247.0 NULL 1.0 NULL -0.012145748987854251 -0.004858299595141701
+-247.0 -7546669.174089069 1.0 -7546669.174089069 -0.012145748987854251 -0.004858299595141701
+-246.0 NULL 1.0 NULL -0.012195121951219513 -0.004878048780487805
+-237.0 NULL 1.0 NULL -0.012658227848101266 -0.005063291139240506
+-236.0 NULL 1.0 NULL -0.012711864406779662 -0.005084745762711864
+-229.0 7187130.170305677 1.0 7187130.170305677 -0.013100436681222707 -0.005240174672489083
+-228.0 8278779.631578947 1.0 8278779.631578947 -0.013157894736842105 -0.005263157894736842
+-225.0 NULL 1.0 NULL -0.013333333333333334 -0.005333333333333333
+-210.0 -8876320.40952381 1.0 -8876320.40952381 -0.014285714285714285 -0.005714285714285714
+-201.0 NULL 1.0 NULL -0.014925373134328358 -0.005970149253731343
+-199.0 NULL 1.0 NULL -0.01507537688442211 -0.006030150753768844
+-189.0 NULL 1.0 NULL -0.015873015873015872 -0.006349206349206349
+-188.0 NULL 1.0 NULL -0.015957446808510637 -0.006382978723404255
+-184.0 8944852.222826088 1.0 8944852.222826088 -0.016304347826086956 -0.006521739130434782
+-183.0 8993731.196721312 1.0 8993731.196721312 -0.01639344262295082 -0.006557377049180328
+-181.0 NULL 1.0 NULL -0.016574585635359115 -0.0066298342541436465
+-179.0 NULL 1.0 NULL -0.01675977653631285 -0.0067039106145251395
+-169.0 9738774.01775148 1.0 9738774.01775148 -0.01775147928994083 -0.007100591715976331
+-164.0 NULL 1.0 NULL -0.018292682926829267 -0.007317073170731707
+-161.0 NULL 1.0 NULL -0.018633540372670808 -0.007453416149068323
+-154.0 1.2256894519480519E7 1.0 1.2256894519480519E7 -0.01948051948051948 -0.007792207792207792
+-152.0 NULL 1.0 NULL -0.019736842105263157 -0.007894736842105263
+-148.0 NULL 1.0 NULL -0.02027027027027027 -0.008108108108108109
+-140.0 NULL 1.0 NULL -0.02142857142857143 -0.008571428571428572
+-138.0 NULL 1.0 NULL -0.021739130434782608 -0.008695652173913044
+-137.0 NULL 1.0 NULL -0.021897810218978103 -0.00875912408759124
+-132.0 NULL 1.0 NULL -0.022727272727272728 -0.00909090909090909
+-129.0 1.2758548906976745E7 1.0 1.2758548906976745E7 -0.023255813953488372 -0.009302325581395349
+-128.0 NULL 1.0 NULL -0.0234375 -0.009375
+-126.0 NULL 1.0 NULL -0.023809523809523808 -0.009523809523809523
+-126.0 -1.4793867349206349E7 1.0 -1.4793867349206349E7 -0.023809523809523808 -0.009523809523809523
+-116.0 NULL 1.0 NULL -0.02586206896551724 -0.010344827586206896
+-113.0 NULL 1.0 NULL -0.02654867256637168 -0.010619469026548672
+-113.0 -1.6495816690265486E7 1.0 -1.6495816690265486E7 -0.02654867256637168 -0.010619469026548672
+-96.0 NULL 1.0 NULL -0.03125 -0.012499999999999999
+-94.0 -1.9830077510638297E7 1.0 -1.9830077510638297E7 -0.031914893617021274 -0.01276595744680851
+-93.0 NULL 1.0 NULL -0.03225806451612903 -0.012903225806451613
+-77.0 2.4513789038961038E7 1.0 2.4513789038961038E7 -0.03896103896103896 -0.015584415584415584
+-69.0 2.735596747826087E7 1.0 2.735596747826087E7 -0.043478260869565216 -0.017391304347826087
+-62.0 NULL 1.0 NULL -0.04838709677419355 -0.01935483870967742
+-62.0 3.0444544451612905E7 1.0 3.0444544451612905E7 -0.04838709677419355 -0.01935483870967742
+-60.0 NULL 1.0 NULL -0.05 -0.02
+-57.0 -3.27022330877193E7 1.0 -3.27022330877193E7 -0.05263157894736842 -0.021052631578947368
+-49.0 3.35888328367347E7 1.0 3.35888328367347E7 -0.061224489795918366 -0.024489795918367346
+-46.0 3.577940889130435E7 1.0 3.577940889130435E7 -0.06521739130434782 -0.02608695652173913
+-38.0 4.3311916026315786E7 1.0 4.3311916026315786E7 -0.07894736842105263 -0.031578947368421054
+-28.0 5.878045746428572E7 1.0 5.878045746428572E7 -0.10714285714285714 -0.04285714285714286
+-28.0 6.741291985714285E7 1.0 6.741291985714285E7 -0.10714285714285714 -0.04285714285714286
+-21.0 8.988389314285715E7 1.0 8.988389314285715E7 -0.14285714285714285 -0.05714285714285714
+-20.0 NULL 1.0 NULL -0.15 -0.06
+-17.0 NULL 1.0 NULL -0.17647058823529413 -0.07058823529411765
+-12.0 -1.5533560716666666E8 1.0 -1.5533560716666666E8 -0.25 -0.09999999999999999
+-3.0 NULL 1.0 NULL -1.0 -0.39999999999999997
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_limit.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_limit.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_limit.q.out
new file mode 100644
index 0000000..f3e98e9
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_limit.q.out
@@ -0,0 +1,782 @@
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: explain vectorization SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 7
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 7
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: ((UDFToDouble(cbigint) < cdouble) and (cint > 0)) (type: boolean)
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cbigint (type: bigint), cdouble (type: double)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 7
+ Statistics: Num rows: 7 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 7 Data size: 84 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 7
+ Processor Tree:
+ ListSink
+
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 7
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 7
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1887561756 -10011.0
+-1887561756 -13877.0
+-1887561756 -2281.0
+-1887561756 -8881.0
+-1887561756 10361.0
+-1887561756 1839.0
+-1887561756 9531.0
+PREHOOK: query: explain vectorization detail
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 20
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:tinyint)
+ predicate: ctinyint is not null (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cdouble (type: double), csmallint (type: smallint)
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 1]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint), _col1 (type: double)
+ sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.3
+ value expressions: _col2 (type: smallint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 5]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: double), VALUE._col0 (type: smallint)
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-64 -10462.0 -10462
+-64 -15920.0 -15920
+-64 -1600.0 -1600
+-64 -200.0 -200
+-64 -2919.0 -2919
+-64 -3097.0 -3097
+-64 -3586.0 -3586
+-64 -4018.0 -4018
+-64 -4040.0 -4040
+-64 -4803.0 -4803
+-64 -6907.0 -6907
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -8080.0 -8080
+-64 -9842.0 -9842
+PREHOOK: query: explain vectorization detail
+select ctinyint,avg(cdouble + 1) from alltypesparquet group by ctinyint order by ctinyint limit 20
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select ctinyint,avg(cdouble + 1) from alltypesparquet group by ctinyint order by ctinyint limit 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: ctinyint (type: tinyint), (cdouble + 1.0) (type: double)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 13]
+ selectExpressions: DoubleColAddDoubleScalar(col 5:double, val 1.0) -> 13:double
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFAvgDouble(col 13:double) -> struct<count:bigint,sum:double,input:double>
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:tinyint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: _col0 (type: tinyint)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: tinyint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.3
+ value expressions: _col1 (type: struct<count:bigint,sum:double,input:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 5]
+ 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: [double]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: avg(VALUE._col0)
+ keys: KEY._col0 (type: tinyint)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select ctinyint,avg(cdouble + 1) from alltypesparquet group by ctinyint order by ctinyint limit 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select ctinyint,avg(cdouble + 1) from alltypesparquet group by ctinyint order by ctinyint limit 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-46 3033.55
+-47 -574.6428571428571
+-48 1672.909090909091
+-49 768.7659574468086
+-50 -960.0192307692307
+-51 -96.46341463414635
+-52 2810.705882352941
+-53 -532.7567567567568
+-54 2712.7272727272725
+-55 2385.595744680851
+-56 2595.818181818182
+-57 1867.0535714285713
+-58 3483.2444444444445
+-59 318.27272727272725
+-60 1071.82
+-61 914.3404255319149
+-62 245.69387755102042
+-63 2178.7272727272725
+-64 373.52941176470586
+NULL 9370.0945309795
+PREHOOK: query: explain vectorization detail
+select distinct(ctinyint) from alltypesparquet limit 20
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select distinct(ctinyint) from alltypesparquet limit 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: ctinyint (type: tinyint)
+ outputColumnNames: ctinyint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:tinyint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
+ keys: ctinyint (type: tinyint)
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: tinyint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.3
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ keys: KEY._col0 (type: tinyint)
+ mode: mergepartial
+ outputColumnNames: _col0
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select distinct(ctinyint) from alltypesparquet limit 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select distinct(ctinyint) from alltypesparquet limit 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-46
+-47
+-48
+-49
+-50
+-51
+-52
+-53
+-54
+-55
+-56
+-57
+-58
+-59
+-60
+-61
+-62
+-63
+-64
+NULL
+PREHOOK: query: explain vectorization detail
+select ctinyint, count(distinct(cdouble)) from alltypesparquet group by ctinyint order by ctinyint limit 20
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select ctinyint, count(distinct(cdouble)) from alltypesparquet group by ctinyint order by ctinyint limit 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: ctinyint (type: tinyint), cdouble (type: double)
+ outputColumnNames: ctinyint, cdouble
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(DISTINCT cdouble)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 5:double) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:tinyint, col 5:double
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: ctinyint (type: tinyint), cdouble (type: double)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint), _col1 (type: double)
+ sort order: ++
+ Map-reduce partition columns: _col0 (type: tinyint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false, No DISTINCT columns IS false
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.3
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 5]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(DISTINCT KEY._col1:0._col0)
+ keys: KEY._col0 (type: tinyint)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select ctinyint, count(distinct(cdouble)) from alltypesparquet group by ctinyint order by ctinyint limit 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select ctinyint, count(distinct(cdouble)) from alltypesparquet group by ctinyint order by ctinyint limit 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-46 24
+-47 22
+-48 29
+-49 26
+-50 30
+-51 21
+-52 33
+-53 22
+-54 26
+-55 29
+-56 36
+-57 35
+-58 23
+-59 31
+-60 27
+-61 25
+-62 27
+-63 19
+-64 24
+NULL 2932
+PREHOOK: query: explain vectorization detail
+select ctinyint,cdouble from alltypesparquet order by ctinyint limit 0
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select ctinyint,cdouble from alltypesparquet order by ctinyint limit 0
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-0 is a root stage
+
+STAGE PLANS:
+ Stage: Stage-0
+ Fetch Operator
+ limit: 0
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select ctinyint,cdouble from alltypesparquet order by ctinyint limit 0
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select ctinyint,cdouble from alltypesparquet order by ctinyint limit 0
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+PREHOOK: query: explain vectorization detail
+select cdouble, sum(ctinyint) as sum from alltypesparquet where ctinyint is not null group by cdouble order by sum, cdouble limit 20
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select cdouble, sum(ctinyint) as sum from alltypesparquet where ctinyint is not null group by cdouble order by sum, cdouble limit 20
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:tinyint)
+ predicate: ctinyint is not null (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 0:tinyint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:double
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: cdouble (type: double)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: double)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 12288 Data size: 147456 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: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 5]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0)
+ keys: KEY._col0 (type: double)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:double, 1:_col1:bigint]
+ Reduce Output Operator
+ key expressions: _col1 (type: bigint), _col0 (type: double)
+ sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.3
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 2
+ includeColumns: [0, 1]
+ dataColumns: _col0:double, _col1:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey1 (type: double), KEY.reducesinkkey0 (type: bigint)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select cdouble, sum(ctinyint) as sum from alltypesparquet where ctinyint is not null group by cdouble order by sum, cdouble limit 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select cdouble, sum(ctinyint) as sum from alltypesparquet where ctinyint is not null group by cdouble order by sum, cdouble limit 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-10462.0 -64
+-1121.0 -89
+-11322.0 -101
+-11492.0 -78
+-15920.0 -64
+-4803.0 -64
+-6907.0 -64
+-7196.0 -2009
+-8080.0 -64
+-8118.0 -80
+-9842.0 -64
+10496.0 -67
+15601.0 -1733
+3520.0 -86
+4811.0 -115
+5241.0 -80
+557.0 -75
+7705.0 -88
+9452.0 -76
+NULL -32768
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_nested_udf.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_nested_udf.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_nested_udf.q.out
new file mode 100644
index 0000000..acac581
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_nested_udf.q.out
@@ -0,0 +1,9 @@
+PREHOOK: query: SELECT SUM(abs(ctinyint)) from alltypesparquet
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT SUM(abs(ctinyint)) from alltypesparquet
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+261468
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_not.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_not.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_not.q.out
new file mode 100644
index 0000000..e581007
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_not.q.out
@@ -0,0 +1,58 @@
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (NOT(cbigint >= cdouble))))
+ OR ((ctinyint >= csmallint)
+ AND (NOT ((cboolean2 != 1)
+ OR (3569 != ctinyint)))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (NOT(cbigint >= cdouble))))
+ OR ((ctinyint >= csmallint)
+ AND (NOT ((cboolean2 != 1)
+ OR (3569 != ctinyint)))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-3.875652215945533E8 3.875652215945533E8 -3.875716535945533E8 1.436387455459401E9 3.875716535945533E8 0.0 2.06347151720204902E18 3.875716535945533E8 3.875652215945533E8 3.875716535945533E8 1.0 10934 -37224.52399241924 1.0517370547117279E9 -2.06347151720204902E18 1.5020929380914048E17 -64 64
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_offset_limit.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_offset_limit.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_offset_limit.q.out
new file mode 100644
index 0000000..408e650
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_offset_limit.q.out
@@ -0,0 +1,163 @@
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: explain vectorization SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 3,2
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 3,2
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: ((UDFToDouble(cbigint) < cdouble) and (cint > 0)) (type: boolean)
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cbigint (type: bigint), cdouble (type: double)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 2
+ Offset of rows: 3
+ Statistics: Num rows: 2 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 2 Data size: 24 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 2
+ Processor Tree:
+ ListSink
+
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 3,2
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 3,2
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1887561756 10361.0
+-1887561756 -8881.0
+PREHOOK: query: explain vectorization expression
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 10,3
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 10,3
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:tinyint)
+ predicate: ctinyint is not null (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cdouble (type: double), csmallint (type: smallint)
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 1]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint), _col1 (type: double)
+ sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col2 (type: smallint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: double), VALUE._col0 (type: smallint)
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 3
+ Offset of rows: 10
+ Statistics: Num rows: 3 Data size: 36 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 3 Data size: 36 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 3
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 10,3
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 10,3
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-64 -7196.0 -7196
+-64 -6907.0 -6907
+-64 -4803.0 -4803
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_part.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_part.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_part.q.out
new file mode 100644
index 0000000..4467b5a
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_part.q.out
@@ -0,0 +1,72 @@
+PREHOOK: query: CREATE TABLE alltypesparquet_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS PARQUET
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@alltypesparquet_part
+POSTHOOK: query: CREATE TABLE alltypesparquet_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS PARQUET
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@alltypesparquet_part
+PREHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2011') select * from alltypesparquet limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part@ds=2011
+POSTHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2011') select * from alltypesparquet limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part@ds=2011
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2011).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2012') select * from alltypesparquet limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: default@alltypesparquet_part@ds=2012
+POSTHOOK: query: insert overwrite table alltypesparquet_part partition (ds='2012') select * from alltypesparquet limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: default@alltypesparquet_part@ds=2012
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cbigint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cbigint, type:bigint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cboolean1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean1, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cboolean2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cboolean2, type:boolean, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cfloat SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cfloat, type:float, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).csmallint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:csmallint, type:smallint, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cstring1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring1, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).cstring2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cstring2, type:string, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctimestamp1 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp1, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctimestamp2 SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctimestamp2, type:timestamp, comment:null), ]
+POSTHOOK: Lineage: alltypesparquet_part PARTITION(ds=2012).ctinyint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:ctinyint, type:tinyint, comment:null), ]
+PREHOOK: query: select count(cdouble), cint from alltypesparquet_part where ds='2011' group by cint limit 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet_part
+PREHOOK: Input: default@alltypesparquet_part@ds=2011
+#### A masked pattern was here ####
+POSTHOOK: query: select count(cdouble), cint from alltypesparquet_part where ds='2011' group by cint limit 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet_part
+POSTHOOK: Input: default@alltypesparquet_part@ds=2011
+#### A masked pattern was here ####
+100 528534767
+PREHOOK: query: select count(*) from alltypesparquet_part A join alltypesparquet_part B on A.ds=B.ds
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet_part
+PREHOOK: Input: default@alltypesparquet_part@ds=2011
+PREHOOK: Input: default@alltypesparquet_part@ds=2012
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from alltypesparquet_part A join alltypesparquet_part B on A.ds=B.ds
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet_part
+POSTHOOK: Input: default@alltypesparquet_part@ds=2011
+POSTHOOK: Input: default@alltypesparquet_part@ds=2012
+#### A masked pattern was here ####
+20000
[19/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_6.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_6.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_6.q.out
new file mode 100644
index 0000000..3d7d5e3
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_6.q.out
@@ -0,0 +1,1729 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ cfloat,
+ cstring1,
+ (988888 * csmallint),
+ (-(csmallint)),
+ (-(cfloat)),
+ (-26.28 / cfloat),
+ (cfloat * 359),
+ (cint % ctinyint),
+ (-(cdouble)),
+ (ctinyint - -75),
+ (762 * (cint % ctinyint))
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND ((((cboolean1 <= 0)
+ AND (cboolean2 >= cboolean1))
+ OR ((cbigint IS NOT NULL)
+ AND ((cstring2 LIKE '%a')
+ OR (cfloat <= -257))))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ cfloat,
+ cstring1,
+ (988888 * csmallint),
+ (-(csmallint)),
+ (-(cfloat)),
+ (-26.28 / cfloat),
+ (cfloat * 359),
+ (cint % ctinyint),
+ (-(cdouble)),
+ (ctinyint - -75),
+ (762 * (cint % ctinyint))
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND ((((cboolean1 <= 0)
+ AND (cboolean2 >= cboolean1))
+ OR ((cbigint IS NOT NULL)
+ AND ((cstring2 LIKE '%a')
+ OR (cfloat <= -257))))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColNotEqualLongScalar(col 0:tinyint, val 0), FilterExprOrExpr(children: FilterExprAndExpr(children: FilterLongColLessEqualLongScalar(col 10:boolean, val 0), FilterLongColGreaterEqualLongColumn(col 11:boolean, col 10:boolean)), FilterExprAndExpr(children: SelectColumnIsNotNull(col 3:bigint), FilterExprOrExpr(children: FilterStringColLikeStringScalar(col 7:string, pattern %a), FilterDoubleColLessEqualDoubleScalar(col 4:float, val -257.0)))))
+ predicate: ((((cboolean1 <= 0) and (cboolean2 >= cboolean1)) or (cbigint is not null and ((cstring2 like '%a') or (cfloat <= -257)))) and (ctinyint <> 0)) (type: boolean)
+ Statistics: Num rows: 11605 Data size: 139260 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cboolean1 (type: boolean), cfloat (type: float), cstring1 (type: string), (988888 * UDFToInteger(csmallint)) (type: int), (- csmallint) (type: smallint), (- cfloat) (type: float), (-26.28 / UDFToDouble(cfloat)) (type: double), (cfloat * 359.0) (type: float), (cint % UDFToInteger(ctinyint)) (type: int), (- cdouble) (type: double), (UDFToInteger(ctinyint) - -75) (type: int), (762 * (cint % UDFToInteger(ctinyint))) (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [10, 4, 6, 13, 14, 15, 16, 17, 18, 19, 20, 22]
+ selectExpressions: LongScalarMultiplyLongColumn(val 988888, col 1:int)(children: col 1:smallint) -> 13:int, LongColUnaryMinus(col 1:smallint) -> 14:smallint, DoubleColUnaryMinus(col 4:float) -> 15:float, DoubleScalarDivideDoubleColumn(val -26.28, col 4:double)(children: col 4:float) -> 16:double, DoubleColMultiplyDoubleScalar(col 4:float, val 359.0) -> 17:float, LongColModuloLongColumn(col 2:int, col 0:int)(children: col 0:tinyint) -> 18:int, DoubleColUnaryMinus(col 5:double) -> 19:double, LongColSubtractLongScalar(col 0:int, val -75)(children: col 0:tinyint) -> 20:int, LongScalarMultiplyLongColumn(val 762, col 21:int)(children: LongColModuloLongColumn(col 2:int, col 0:int)(children: col 0:tinyint) -> 21:int) -> 22:int
+ Statistics: Num rows: 11605 Data size: 139260 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 11605 Data size: 139260 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 4, 5, 6, 7, 10, 11]
+ 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, double, double, double, bigint, double, bigint, bigint, bigint]
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cboolean1,
+ cfloat,
+ cstring1,
+ (988888 * csmallint),
+ (-(csmallint)),
+ (-(cfloat)),
+ (-26.28 / cfloat),
+ (cfloat * 359),
+ (cint % ctinyint),
+ (-(cdouble)),
+ (ctinyint - -75),
+ (762 * (cint % ctinyint))
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND ((((cboolean1 <= 0)
+ AND (cboolean2 >= cboolean1))
+ OR ((cbigint IS NOT NULL)
+ AND ((cstring2 LIKE '%a')
+ OR (cfloat <= -257))))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cboolean1,
+ cfloat,
+ cstring1,
+ (988888 * csmallint),
+ (-(csmallint)),
+ (-(cfloat)),
+ (-26.28 / cfloat),
+ (cfloat * 359),
+ (cint % ctinyint),
+ (-(cdouble)),
+ (ctinyint - -75),
+ (762 * (cint % ctinyint))
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND ((((cboolean1 <= 0)
+ AND (cboolean2 >= cboolean1))
+ OR ((cbigint IS NOT NULL)
+ AND ((cstring2 LIKE '%a')
+ OR (cfloat <= -257))))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+NULL -12.0 NULL -1752227496 -15601 12.0 2.19 -4308.0 NULL -15601.0 63 NULL
+NULL -14.0 NULL 1473896544 7196 14.0 1.8771428571428572 -5026.0 NULL 7196.0 61 NULL
+NULL -20.0 NULL -1752227496 -15601 20.0 1.314 -7180.0 NULL -15601.0 55 NULL
+NULL -22.0 NULL -1752227496 -15601 22.0 1.1945454545454546 -7898.0 NULL -15601.0 53 NULL
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<TRUNCATED>
[27/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_0.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_0.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_0.q.out
new file mode 100644
index 0000000..a790fc1
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_0.q.out
@@ -0,0 +1,31543 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(ctinyint) as c1,
+ MAX(ctinyint),
+ COUNT(ctinyint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(ctinyint) as c1,
+ MAX(ctinyint),
+ COUNT(ctinyint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: ctinyint (type: tinyint)
+ outputColumnNames: ctinyint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: min(ctinyint), max(ctinyint), count(ctinyint), count()
+ Group By Vectorization:
+ aggregators: VectorUDAFMinLong(col 0:tinyint) -> tinyint, VectorUDAFMaxLong(col 0:tinyint) -> tinyint, VectorUDAFCount(col 0:tinyint) -> bigint, VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: tinyint), _col1 (type: tinyint), _col2 (type: bigint), _col3 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: min(VALUE._col0), max(VALUE._col1), count(VALUE._col2), count(VALUE._col3)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:tinyint, 1:_col1:tinyint, 2:_col2:bigint, 3:_col3:bigint]
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: tinyint), _col2 (type: bigint), _col3 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 4
+ includeColumns: [0, 1, 2, 3]
+ dataColumns: _col0:tinyint, _col1:tinyint, _col2:bigint, _col3:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: tinyint), VALUE._col0 (type: tinyint), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint)
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 24 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT MIN(ctinyint) as c1,
+ MAX(ctinyint),
+ COUNT(ctinyint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT MIN(ctinyint) as c1,
+ MAX(ctinyint),
+ COUNT(ctinyint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-64 62 9173 12288
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(ctinyint) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(ctinyint) as c1
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: ctinyint (type: tinyint)
+ outputColumnNames: ctinyint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 0:tinyint) -> 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: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ 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: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0)
+ mode: mergepartial
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:bigint]
+ Reduce Output Operator
+ key expressions: _col0 (type: bigint)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 1
+ includeColumns: [0]
+ dataColumns: _col0:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: bigint)
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 8 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT SUM(ctinyint) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT SUM(ctinyint) as c1
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-39856
+PREHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(ctinyint) as c1,
+ variance(ctinyint),
+ var_pop(ctinyint),
+ var_samp(ctinyint),
+ std(ctinyint),
+ stddev(ctinyint),
+ stddev_pop(ctinyint),
+ stddev_samp(ctinyint)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(ctinyint) as c1,
+ variance(ctinyint),
+ var_pop(ctinyint),
+ var_samp(ctinyint),
+ std(ctinyint),
+ stddev(ctinyint),
+ stddev_pop(ctinyint),
+ stddev_samp(ctinyint)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint)
+ outputColumnNames: ctinyint
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(ctinyint), variance(ctinyint), var_pop(ctinyint), var_samp(ctinyint), std(ctinyint), stddev(ctinyint), stddev_pop(ctinyint), stddev_samp(ctinyint)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:tinyint>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,variance:double>), _col7 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: avg(VALUE._col0), variance(VALUE._col1), var_pop(VALUE._col2), var_samp(VALUE._col3), std(VALUE._col4), stddev(VALUE._col5), stddev_pop(VALUE._col6), stddev_samp(VALUE._col7)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: double), _col2 (type: double), _col3 (type: double), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: double), VALUE._col0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: double), VALUE._col5 (type: double), VALUE._col6 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 636 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT
+ avg(ctinyint) as c1,
+ variance(ctinyint),
+ var_pop(ctinyint),
+ var_samp(ctinyint),
+ std(ctinyint),
+ stddev(ctinyint),
+ stddev_pop(ctinyint),
+ stddev_samp(ctinyint)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT
+ avg(ctinyint) as c1,
+ variance(ctinyint),
+ var_pop(ctinyint),
+ var_samp(ctinyint),
+ std(ctinyint),
+ stddev(ctinyint),
+ stddev_pop(ctinyint),
+ stddev_samp(ctinyint)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-4.344925324321378 1158.3003004768184 1158.3003004768184 1158.4265870337827 34.033811136527426 34.033811136527426 34.033811136527426 34.03566639620536
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(cbigint) as c1,
+ MAX(cbigint),
+ COUNT(cbigint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(cbigint) as c1,
+ MAX(cbigint),
+ COUNT(cbigint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: cbigint (type: bigint)
+ outputColumnNames: cbigint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: min(cbigint), max(cbigint), count(cbigint), count()
+ Group By Vectorization:
+ aggregators: VectorUDAFMinLong(col 3:bigint) -> bigint, VectorUDAFMaxLong(col 3:bigint) -> bigint, VectorUDAFCount(col 3:bigint) -> bigint, VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: bigint), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [3]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: min(VALUE._col0), max(VALUE._col1), count(VALUE._col2), count(VALUE._col3)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:bigint, 1:_col1:bigint, 2:_col2:bigint, 3:_col3:bigint]
+ Reduce Output Operator
+ key expressions: _col0 (type: bigint)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 4
+ includeColumns: [0, 1, 2, 3]
+ dataColumns: _col0:bigint, _col1:bigint, _col2:bigint, _col3:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: bigint), VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint)
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 32 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT MIN(cbigint) as c1,
+ MAX(cbigint),
+ COUNT(cbigint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT MIN(cbigint) as c1,
+ MAX(cbigint),
+ COUNT(cbigint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-2147311592 2145498388 9173 12288
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cbigint) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cbigint) as c1
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: cbigint (type: bigint)
+ outputColumnNames: cbigint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(cbigint)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> 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: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ 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: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [3]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0)
+ mode: mergepartial
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:bigint]
+ Reduce Output Operator
+ key expressions: _col0 (type: bigint)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 1
+ includeColumns: [0]
+ dataColumns: _col0:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: bigint)
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 8 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT SUM(cbigint) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT SUM(cbigint) as c1
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1698460028409
+PREHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(cbigint) as c1,
+ variance(cbigint),
+ var_pop(cbigint),
+ var_samp(cbigint),
+ std(cbigint),
+ stddev(cbigint),
+ stddev_pop(cbigint),
+ stddev_samp(cbigint)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(cbigint) as c1,
+ variance(cbigint),
+ var_pop(cbigint),
+ var_samp(cbigint),
+ std(cbigint),
+ stddev(cbigint),
+ stddev_pop(cbigint),
+ stddev_samp(cbigint)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cbigint (type: bigint)
+ outputColumnNames: cbigint
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(cbigint), variance(cbigint), var_pop(cbigint), var_samp(cbigint), std(cbigint), stddev(cbigint), stddev_pop(cbigint), stddev_samp(cbigint)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:bigint>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,variance:double>), _col7 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: avg(VALUE._col0), variance(VALUE._col1), var_pop(VALUE._col2), var_samp(VALUE._col3), std(VALUE._col4), stddev(VALUE._col5), stddev_pop(VALUE._col6), stddev_samp(VALUE._col7)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: double), _col2 (type: double), _col3 (type: double), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: double), VALUE._col0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: double), VALUE._col5 (type: double), VALUE._col6 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 640 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT
+ avg(cbigint) as c1,
+ variance(cbigint),
+ var_pop(cbigint),
+ var_samp(cbigint),
+ std(cbigint),
+ stddev(cbigint),
+ stddev_pop(cbigint),
+ stddev_samp(cbigint)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT
+ avg(cbigint) as c1,
+ variance(cbigint),
+ var_pop(cbigint),
+ var_samp(cbigint),
+ std(cbigint),
+ stddev(cbigint),
+ stddev_pop(cbigint),
+ stddev_samp(cbigint)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1.8515862077935246E8 2.07689300543081907E18 2.07689300543081907E18 2.07711944383088768E18 1.441142951074188E9 1.441142951074188E9 1.441142951074188E9 1.4412215110214279E9
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(cfloat) as c1,
+ MAX(cfloat),
+ COUNT(cfloat),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(cfloat) as c1,
+ MAX(cfloat),
+ COUNT(cfloat),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: cfloat (type: float)
+ outputColumnNames: cfloat
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: min(cfloat), max(cfloat), count(cfloat), count()
+ Group By Vectorization:
+ aggregators: VectorUDAFMinDouble(col 4:float) -> float, VectorUDAFMaxDouble(col 4:float) -> float, VectorUDAFCount(col 4:float) -> bigint, VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: float), _col1 (type: float), _col2 (type: bigint), _col3 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [4]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: min(VALUE._col0), max(VALUE._col1), count(VALUE._col2), count(VALUE._col3)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:float, 1:_col1:float, 2:_col2:bigint, 3:_col3:bigint]
+ Reduce Output Operator
+ key expressions: _col0 (type: float)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: float), _col2 (type: bigint), _col3 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 4
+ includeColumns: [0, 1, 2, 3]
+ dataColumns: _col0:float, _col1:float, _col2:bigint, _col3:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: float), VALUE._col0 (type: float), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint)
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 24 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT MIN(cfloat) as c1,
+ MAX(cfloat),
+ COUNT(cfloat),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT MIN(cfloat) as c1,
+ MAX(cfloat),
+ COUNT(cfloat),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-64.0 79.553 9173 12288
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cfloat) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cfloat) as c1
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: cfloat (type: float)
+ outputColumnNames: cfloat
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(cfloat)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDouble(col 4:float) -> double
+ 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: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [4]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0)
+ mode: mergepartial
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:double]
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 1
+ includeColumns: [0]
+ dataColumns: _col0:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: double)
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 8 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT SUM(cfloat) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT SUM(cfloat) as c1
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-39479.635992884636
+PREHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(cfloat) as c1,
+ variance(cfloat),
+ var_pop(cfloat),
+ var_samp(cfloat),
+ std(cfloat),
+ stddev(cfloat),
+ stddev_pop(cfloat),
+ stddev_samp(cfloat)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(cfloat) as c1,
+ variance(cfloat),
+ var_pop(cfloat),
+ var_samp(cfloat),
+ std(cfloat),
+ stddev(cfloat),
+ stddev_pop(cfloat),
+ stddev_samp(cfloat)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cfloat (type: float)
+ outputColumnNames: cfloat
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(cfloat), variance(cfloat), var_pop(cfloat), var_samp(cfloat), std(cfloat), stddev(cfloat), stddev_pop(cfloat), stddev_samp(cfloat)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:float>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,variance:double>), _col7 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: avg(VALUE._col0), variance(VALUE._col1), var_pop(VALUE._col2), var_samp(VALUE._col3), std(VALUE._col4), stddev(VALUE._col5), stddev_pop(VALUE._col6), stddev_samp(VALUE._col7)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: double), _col2 (type: double), _col3 (type: double), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: double), VALUE._col0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: double), VALUE._col5 (type: double), VALUE._col6 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 636 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT
+ avg(cfloat) as c1,
+ variance(cfloat),
+ var_pop(cfloat),
+ var_samp(cfloat),
+ std(cfloat),
+ stddev(cfloat),
+ stddev_pop(cfloat),
+ stddev_samp(cfloat)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT
+ avg(cfloat) as c1,
+ variance(cfloat),
+ var_pop(cfloat),
+ var_samp(cfloat),
+ std(cfloat),
+ stddev(cfloat),
+ stddev_pop(cfloat),
+ stddev_samp(cfloat)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-4.303895780321011 1163.8972588604984 1163.8972588604984 1164.0241556397025 34.115938487171924 34.115938487171924 34.115938487171924 34.11779822379666
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (cbigint < cdouble)))
+ OR ((ctinyint >= csmallint)
+ AND ((cboolean2 = 1)
+ AND (3569 = ctinyint))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (cbigint < cdouble)))
+ OR ((ctinyint >= csmallint)
+ AND ((cboolean2 = 1)
+ AND (3569 = ctinyint))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterStringColLikeStringScalar(col 7:string, pattern %b%), FilterDecimalScalarNotEqualDecimalColumn(val 79.553, col 13:decimal(13,3))(children: CastLongToDecimal(col 2:int) -> 13:decimal(13,3)), FilterDoubleColLessDoubleColumn(col 14:double, col 5:double)(children: CastLongToDouble(col 3:bigint) -> 14:double), FilterExprAndExpr(children: FilterLongColGreaterEqualLongColumn(col 0:smallint, col 1:smallint)(children: col 0:tinyint), FilterLongColEqualLongScalar(col 11:boolean, val 1), FilterLongScalarEqualLongColumn(val 3569, col 0:int)(children: col 0:tinyint)))
+ predicate: (((UDFToShort(ctinyint) >= csmallint) and (cboolean2 = 1) and (3569 = UDFToInteger(ctinyint))) or (79.553 <> CAST( cint AS decimal(13,3))) or (UDFToDouble(cbigint) < cdouble) or (cstring2 like '%b%')) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cbigint (type: bigint), cfloat (type: float)
+ outputColumnNames: ctinyint, cbigint, cfloat
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 4]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(cbigint), stddev_pop(cbigint), var_samp(cbigint), count(), sum(cfloat), min(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFAvgLong(col 3:bigint) -> struct<count:bigint,sum:double,input:bigint>, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: var_samp, VectorUDAFCountStar(*) -> bigint, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFMinLong(col 0:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:bigint>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: bigint), _col4 (type: double), _col5 (type: tinyint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 4, 5, 7, 11]
+ 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: [decimal(13,3), double]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: avg(VALUE._col0), stddev_pop(VALUE._col1), var_samp(VALUE._col2), count(VALUE._col3), sum(VALUE._col4), min(VALUE._col5)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: double), (- _col0) (type: double), (-6432.0 + _col0) (type: double), _col1 (type: double), (- (-6432.0 + _col0)) (type: double), ((- (-6432.0 + _col0)) + (-6432.0 + _col0)) (type: double), _col2 (type: double), (- (-6432.0 + _col0)) (type: double), (-6432.0 + (- (-6432.0 + _col0))) (type: double), (- (-6432.0 + _col0)) (type: double), ((- (-6432.0 + _col0)) / (- (-6432.0 + _col0))) (type: double), _col3 (type: bigint), _col4 (type: double), (_col2 % _col1) (type: double), (- _col2) (type: double), ((- (-6432.0 + _col0)) * (- _col0)) (type: double), _col5 (type: tinyint), (- _col5) (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17
+ Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 260 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (cbigint < cdouble)))
+ OR ((ctinyint >= csmallint)
+ AND ((cboolean2 = 1)
+ AND (3569 = ctinyint))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (cbigint < cdouble)))
+ OR ((ctinyint >= csmallint)
+ AND ((cboolean2 = 1)
+ AND (3569 = ctinyint))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-3.875652215945533E8 3.875652215945533E8 -3.875716535945533E8 1.436387455459401E9 3.875716535945533E8 0.0 2.06347151720204902E18 3.875716535945533E8 3.875652215945533E8 3.875716535945533E8 1.0 10934 -37224.52399241924 1.0517370547117279E9 -2.06347151720204902E18 1.5020929380914048E17 -64 64
+PREHOOK: query: EXPLAIN extended
+select count(*) from alltypesparquet
+ where (((cstring1 LIKE 'a%') or ((cstring1 like 'b%') or (cstring1 like 'c%'))) or
+ ((length(cstring1) < 50 ) and ((cstring1 like '%n') and (length(cstring1) > 0))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN extended
+select count(*) from alltypesparquet
+ where (((cstring1 LIKE 'a%') or ((cstring1 like 'b%') or (cstring1 like 'c%'))) or
+ ((length(cstring1) < 50 ) and ((cstring1 like '%n') and (length(cstring1) > 0))))
+POSTHOOK: type: QUERY
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ GatherStats: false
+ Filter Operator
+ isSamplingPred: false
+ predicate: (((length(cstring1) < 50) and (cstring1 like '%n') and (length(cstring1) > 0)) or (cstring1 like 'a%') or (cstring1 like 'b%') or (cstring1 like 'c%')) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count()
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ null sort order:
+ sort order:
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ tag: -1
+ value expressions: _col0 (type: bigint)
+ auto parallelism: false
+ Execution mode: vectorized
+ Path -> Alias:
+#### A masked pattern was here ####
+ Path -> Partition:
+#### A masked pattern was here ####
+ Partition
+ base file name: alltypesparquet
+ input format: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ output format: org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat
+ properties:
+ COLUMN_STATS_ACCURATE {"BASIC_STATS":"true","COLUMN_STATS":{"cbigint":"true","cboolean1":"true","cboolean2":"true","cdouble":"true","cfloat":"true","cint":"true","csmallint":"true","cstring1":"true","cstring2":"true","ctimestamp1":"true","ctimestamp2":"true","ctinyint":"true"}}
+ bucket_count -1
+ column.name.delimiter ,
+ columns ctinyint,csmallint,cint,cbigint,cfloat,cdouble,cstring1,cstring2,ctimestamp1,ctimestamp2,cboolean1,cboolean2
+ columns.comments
+ columns.types tinyint:smallint:int:bigint:float:double:string:string:timestamp:timestamp:boolean:boolean
+#### A masked pattern was here ####
+ name default.alltypesparquet
+ numFiles 1
+ numRows 12288
+ rawDataSize 147456
+ serialization.ddl struct alltypesparquet { byte ctinyint, i16 csmallint, i32 cint, i64 cbigint, float cfloat, double cdouble, string cstring1, string cstring2, timestamp ctimestamp1, timestamp ctimestamp2, bool cboolean1, bool cboolean2}
+ serialization.format 1
+ serialization.lib org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe
+ totalSize 594976
+#### A masked pattern was here ####
+ serde: org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe
+
+ input format: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ output format: org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat
+ properties:
+ COLUMN_STATS_ACCURATE {"BASIC_STATS":"true","COLUMN_STATS":{"cbigint":"true","cboolean1":"true","cboolean2":"true","cdouble":"true","cfloat":"true","cint":"true","csmallint":"true","cstring1":"true","cstring2":"true","ctimestamp1":"true","ctimestamp2":"true","ctinyint":"true"}}
+ bucket_count -1
+ column.name.delimiter ,
+ columns ctinyint,csmallint,cint,cbigint,cfloat,cdouble,cstring1,cstring2,ctimestamp1,ctimestamp2,cboolean1,cboolean2
+ columns.comments
+ columns.types tinyint:smallint:int:bigint:float:double:string:string:timestamp:timestamp:boolean:boolean
+#### A masked pattern was here ####
+ name default.alltypesparquet
+ numFiles 1
+ numRows 12288
+ rawDataSize 147456
+ serialization.ddl struct alltypesparquet { byte ctinyint, i16 csmallint, i32 cint, i64 cbigint, float cfloat, double cdouble, string cstring1, string cstring2, timestamp ctimestamp1, timestamp ctimestamp2, bool cboolean1, bool cboolean2}
+ serialization.format 1
+ serialization.lib org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe
+ totalSize 594976
+#### A masked pattern was here ####
+ serde: org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe
+ name: default.alltypesparquet
+ name: default.alltypesparquet
+ Truncated Path -> Alias:
+ /alltypesparquet [alltypesparquet]
+ Needs Tagging: false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0)
+ mode: mergepartial
+ outputColumnNames: _col0
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ GlobalTableId: 0
+#### A masked pattern was here ####
+ NumFilesPerFileSink: 1
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+#### A masked pattern was here ####
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ properties:
+ columns _col0
+ columns.types bigint
+ escape.delim \
+ hive.serialization.extend.additional.nesting.levels true
+ serialization.escape.crlf true
+ serialization.format 1
+ serialization.lib org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ TotalFiles: 1
+ GatherStats: false
+ MultiFileSpray: false
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select count(*) from alltypesparquet
+ where (((cstring1 LIKE 'a%') or ((cstring1 like 'b%') or (cstring1 like 'c%'))) or
+ ((length(cstring1) < 50 ) and ((cstring1 like '%n') and (length(cstring1) > 0))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select count(*) from alltypesparquet
+ where (((cstring1 LIKE 'a%') or ((cstring1 like 'b%') or (cstring1 like 'c%'))) or
+ ((length(cstring1) < 50 ) and ((cstring1 like '%n') and (length(cstring1) > 0))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+1370
+PREHOOK: query: select min(ctinyint), max(ctinyint), sum(ctinyint), avg(ctinyint) from alltypesparquet
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select min(ctinyint), max(ctinyint), sum(ctinyint), avg(ctinyint) from alltypesparquet
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-64 62 -39856 -4.344925324321378
+PREHOOK: query: select min(csmallint), max(csmallint), sum(csmallint), avg(csmallint) from alltypesparquet
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select min(csmallint), max(csmallint), sum(csmallint), avg(csmallint) from alltypesparquet
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-16379 16376 7435990 810.5504687159363
+PREHOOK: query: select min(cint), max(cint), sum(cint), avg(cint) from alltypesparquet
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select min(cint), max(cint), sum(cint), avg(cint) from alltypesparquet
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1073279343 1073680599 1438050863785 1.567699622571678E8
+PREHOOK: query: select min(cbigint), max(cbigint), sum(cbigint), avg(cbigint) from alltypesparquet
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select min(cbigint), max(cbigint), sum(cbigint), avg(cbigint) from alltypesparquet
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-2147311592 2145498388 -1698460028409 -1.8515862077935246E8
+PREHOOK: query: select min(cdouble), max(cdouble), sum(cdouble), avg(cdouble) from alltypesparquet
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select min(cdouble), max(cdouble), sum(cdouble), avg(cdouble) from alltypesparquet
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparque
<TRUNCATED>
[17/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_9.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_9.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_9.q.out
new file mode 100644
index 0000000..1174aa7
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_9.q.out
@@ -0,0 +1,707 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColLikeStringScalar(col 7:string, pattern %b%), FilterExprOrExpr(children: FilterDoubleColGreaterEqualDoubleScalar(col 5:double, val -1.389), FilterStringGroupColLessStringScalar(col 6:string, val a)))
+ predicate: (((cdouble >= -1.389) or (cstring1 < 'a')) and (cstring2 like '%b%')) (type: boolean)
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cdouble (type: double), cstring1 (type: string), ctimestamp1 (type: timestamp)
+ outputColumnNames: cdouble, cstring1, ctimestamp1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 6, 8]
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(cdouble), stddev_samp(cdouble), min(cdouble)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 5:double) -> bigint, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFMinDouble(col 5:double) -> double
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:double, col 6:string, col 8:timestamp
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
+ keys: cdouble (type: double), cstring1 (type: string), ctimestamp1 (type: timestamp)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double), _col1 (type: string), _col2 (type: timestamp)
+ sort order: +++
+ Map-reduce partition columns: _col0 (type: double), _col1 (type: string), _col2 (type: timestamp)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col3 (type: bigint), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [5, 6, 7, 8]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0), stddev_samp(VALUE._col1), min(VALUE._col2)
+ keys: KEY._col0 (type: double), KEY._col1 (type: string), KEY._col2 (type: timestamp)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 2048 Data size: 24576 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: string), _col0 (type: double), _col2 (type: timestamp), (_col0 - 9763215.5639) (type: double), (- (_col0 - 9763215.5639)) (type: double), _col3 (type: bigint), _col4 (type: double), (- _col4) (type: double), (_col4 * UDFToDouble(_col3)) (type: double), _col5 (type: double), (9763215.5639 / _col0) (type: double), (CAST( _col3 AS decimal(19,0)) / -1.389) (type: decimal(28,6)), _col4 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Statistics: Num rows: 2048 Data size: 24576 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 2048 Data size: 24576 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
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+N8222wByj NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+NABd3KhjjaVfcj2Q7SJ46 NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+NULL 15601.0 1969-12-31 15:59:43.919 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.07 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.179 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.394 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.477 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.568 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.571 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.708 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:44.782 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:45.816 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:46.114 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:46.82 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:46.953 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.134 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.406 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.511 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.616 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:47.975 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.052 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.299 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.429 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.552 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.679 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:48.943 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:49.331 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:49.896 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:50.345 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:50.66 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.104 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.265 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.413 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.596 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.637 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.076 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.311 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.326 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.357 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.587 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.038 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.583 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.584 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.635 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.024 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.116 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.334 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.342 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.454 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.583 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.994 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.411 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.847 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.989 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.998 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.068 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.338 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.806 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.858 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.913 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.97 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.215 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.261 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.28 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.386 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.524 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.678 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.729 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.932 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.134 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.279 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.343 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.752 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.025 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.054 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.108 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.122 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.123 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.182 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.206 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.326 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.396 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.476 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.523 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.545 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.547 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.648 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.699 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.708 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.741 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.88 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.931 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.953 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.057 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.153 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.714 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.12 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.215 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.285 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.6 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.742 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.894 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.92 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.925 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.174 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.273 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.351 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.366 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.512 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.722 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.063 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.149 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.254 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.259 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.52 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.687 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.745 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.964 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.027 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.132 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.327 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.334 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.617 -9747614.5639 9747614.5639 2 0.0 -0.0 0.0 15601.0 625.8070356964297 -1.439885 0.0
+NULL 15601.0 1969-12-31 16:00:05.83 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:06.051 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:06.692 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:07.844 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.176 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.252 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.368 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.607 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.868 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.948 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.357 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.473 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.582 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.697 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.045 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.132 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.173 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.259 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.649 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.738 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.898 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.957 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.983 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.205 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.498 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.848 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.853 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.948 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.029 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.183 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.503 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.801 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.955 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.452 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.565 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.733 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.747 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.903 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:15.39 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:15.805 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:16.076 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:16.279 -9747614.5639 9747614.5639 2 0.0 -0.0 0.0 15601.0 625.8070356964297 -1.439885 0.0
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+XA0uP5c61MU NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+XBfrKWaX68o7HCfKf NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+XOypj8 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+XWuYuk5qpn5Khs3764E56 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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+Xtw4eM002sS1101p NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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+XyG3M688p4eP46 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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+YCY6SM1FK83x0XYANbo NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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+YY7Ji0cFe7R1 NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_decimal_date.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_decimal_date.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_decimal_date.q.out
new file mode 100644
index 0000000..485bfe7
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_decimal_date.q.out
@@ -0,0 +1,101 @@
+PREHOOK: query: CREATE TABLE date_decimal_test_parquet STORED AS PARQUET AS SELECT cint, cdouble, CAST (CAST (cint AS TIMESTAMP) AS DATE) AS cdate, CAST (((cdouble*22.1)/37) AS DECIMAL(20,10)) AS cdecimal FROM alltypesparquet
+PREHOOK: type: CREATETABLE_AS_SELECT
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: database:default
+PREHOOK: Output: default@date_decimal_test_parquet
+POSTHOOK: query: CREATE TABLE date_decimal_test_parquet STORED AS PARQUET AS SELECT cint, cdouble, CAST (CAST (cint AS TIMESTAMP) AS DATE) AS cdate, CAST (((cdouble*22.1)/37) AS DECIMAL(20,10)) AS cdecimal FROM alltypesparquet
+POSTHOOK: type: CREATETABLE_AS_SELECT
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@date_decimal_test_parquet
+POSTHOOK: Lineage: date_decimal_test_parquet.cdate EXPRESSION [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: date_decimal_test_parquet.cdecimal EXPRESSION [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: date_decimal_test_parquet.cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: date_decimal_test_parquet.cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION SELECT cdate, cdecimal from date_decimal_test_parquet where cint IS NOT NULL AND cdouble IS NOT NULL LIMIT 10
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION SELECT cdate, cdecimal from date_decimal_test_parquet where cint IS NOT NULL AND cdouble IS NOT NULL LIMIT 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: date_decimal_test_parquet
+ Statistics: Num rows: 12288 Data size: 49152 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:double))
+ predicate: (cdouble is not null and cint is not null) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cdate (type: date), cdecimal (type: decimal(20,10))
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3]
+ Statistics: Num rows: 12288 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 40 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 40 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 10
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cdate, cdecimal from date_decimal_test_parquet where cint IS NOT NULL AND cdouble IS NOT NULL LIMIT 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@date_decimal_test_parquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cdate, cdecimal from date_decimal_test_parquet where cint IS NOT NULL AND cdouble IS NOT NULL LIMIT 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@date_decimal_test_parquet
+#### A masked pattern was here ####
+1970-01-06 -7959.5837837838
+1970-01-06 -2516.4135135135
+1970-01-06 -9445.0621621622
+1970-01-06 -5713.7459459459
+1970-01-06 8963.6405405405
+1970-01-06 4193.6243243243
+1970-01-06 2964.3864864865
+1970-01-06 -4673.2540540541
+1970-01-06 -9216.8945945946
+1970-01-06 -9287.3756756757
[29/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
HIVE-17528 : Add more q-tests for Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu, reviewed by Vihang Karajgaonkar)
Conflicts:
ql/src/test/results/clientpositive/llap/resourceplan.q.out
ql/src/test/results/clientpositive/llap/sysdb.q.out
ql/src/test/results/clientpositive/temp_table_truncate.q.out
Project: http://git-wip-us.apache.org/repos/asf/hive/repo
Commit: http://git-wip-us.apache.org/repos/asf/hive/commit/029e48b7
Tree: http://git-wip-us.apache.org/repos/asf/hive/tree/029e48b7
Diff: http://git-wip-us.apache.org/repos/asf/hive/diff/029e48b7
Branch: refs/heads/branch-2
Commit: 029e48b7715031a21ccb29c67c83f93dd91eb385
Parents: 10f5554
Author: Vihang Karajgaonkar <vi...@cloudera.com>
Authored: Wed Nov 29 09:49:39 2017 -0800
Committer: Ferdinand Xu <ch...@intel.com>
Committed: Thu Nov 30 09:16:25 2017 +0800
----------------------------------------------------------------------
data/scripts/q_test_cleanup.sql | 1 +
data/scripts/q_test_init.sql | 26 +
.../test/resources/testconfiguration.properties | 28 +
.../org/apache/hadoop/hive/ql/QTestUtil.java | 4 +-
pom.xml | 2 +-
.../parquet_read_backward_compatible_files.q | 6 +-
.../clientpositive/parquet_vectorization_0.q | 276 +
.../clientpositive/parquet_vectorization_1.q | 47 +
.../clientpositive/parquet_vectorization_10.q | 52 +
.../clientpositive/parquet_vectorization_11.q | 34 +
.../clientpositive/parquet_vectorization_12.q | 69 +
.../clientpositive/parquet_vectorization_13.q | 137 +
.../clientpositive/parquet_vectorization_14.q | 72 +
.../clientpositive/parquet_vectorization_15.q | 71 +
.../clientpositive/parquet_vectorization_16.q | 46 +
.../clientpositive/parquet_vectorization_17.q | 53 +
.../clientpositive/parquet_vectorization_2.q | 50 +
.../clientpositive/parquet_vectorization_3.q | 55 +
.../clientpositive/parquet_vectorization_4.q | 50 +
.../clientpositive/parquet_vectorization_5.q | 44 +
.../clientpositive/parquet_vectorization_6.q | 46 +
.../clientpositive/parquet_vectorization_7.q | 115 +
.../clientpositive/parquet_vectorization_8.q | 107 +
.../clientpositive/parquet_vectorization_9.q | 46 +
.../parquet_vectorization_decimal_date.q | 7 +
.../clientpositive/parquet_vectorization_div0.q | 27 +
.../parquet_vectorization_limit.q | 43 +
.../parquet_vectorization_nested_udf.q | 5 +
.../clientpositive/parquet_vectorization_not.q | 30 +
.../parquet_vectorization_offset_limit.q | 11 +
.../clientpositive/parquet_vectorization_part.q | 10 +
.../parquet_vectorization_part_project.q | 11 +
.../parquet_vectorization_part_varchar.q | 10 +
.../parquet_vectorization_pushdown.q | 8 +
.../results/clientpositive/add_part_exist.q.out | 1 +
ql/src/test/results/clientpositive/alter1.q.out | 1 +
ql/src/test/results/clientpositive/alter2.q.out | 1 +
ql/src/test/results/clientpositive/alter3.q.out | 1 +
ql/src/test/results/clientpositive/alter4.q.out | 1 +
ql/src/test/results/clientpositive/alter5.q.out | 1 +
.../results/clientpositive/alter_index.q.out | 1 +
.../clientpositive/alter_rename_partition.q.out | 2 +
.../clientpositive/authorization_9.q.out | 12 +
.../authorization_show_grant.q.out | 4 +
ql/src/test/results/clientpositive/cte_5.q.out | 1 +
.../test/results/clientpositive/cte_mat_4.q.out | 4 +
.../test/results/clientpositive/cte_mat_5.q.out | 1 +
.../clientpositive/describe_table_json.q.out | 2 +-
.../clientpositive/drop_table_with_index.q.out | 1 +
.../results/clientpositive/index_creation.q.out | 1 +
ql/src/test/results/clientpositive/input2.q.out | 2 +
ql/src/test/results/clientpositive/input3.q.out | 2 +
.../results/clientpositive/llap/cte_5.q.out | 1 +
.../results/clientpositive/llap/cte_mat_4.q.out | 4 +
.../results/clientpositive/llap/cte_mat_5.q.out | 1 +
.../clientpositive/llap/jdbc_handler.q.out | 3 +
.../clientpositive/llap/temp_table.q.out | 1 +
...parquet_read_backward_compatible_files.q.out | 24 +-
.../parquet_vectorization_0.q.out | 31543 ++++++++++++++++
.../parquet_vectorization_1.q.out | 185 +
.../parquet_vectorization_10.q.out | 409 +
.../parquet_vectorization_11.q.out | 173 +
.../parquet_vectorization_12.q.out | 815 +
.../parquet_vectorization_13.q.out | 646 +
.../parquet_vectorization_14.q.out | 910 +
.../parquet_vectorization_15.q.out | 324 +
.../parquet_vectorization_16.q.out | 707 +
.../parquet_vectorization_17.q.out | 536 +
.../parquet_vectorization_2.q.out | 193 +
.../parquet_vectorization_3.q.out | 203 +
.../parquet_vectorization_4.q.out | 193 +
.../parquet_vectorization_5.q.out | 181 +
.../parquet_vectorization_6.q.out | 1729 +
.../parquet_vectorization_7.q.out | 435 +
.../parquet_vectorization_8.q.out | 409 +
.../parquet_vectorization_9.q.out | 707 +
.../parquet_vectorization_decimal_date.q.out | 101 +
.../parquet_vectorization_div0.q.out | 569 +
.../parquet_vectorization_limit.q.out | 782 +
.../parquet_vectorization_nested_udf.q.out | 9 +
.../parquet_vectorization_not.q.out | 58 +
.../parquet_vectorization_offset_limit.q.out | 163 +
.../parquet_vectorization_part.q.out | 72 +
.../parquet_vectorization_part_project.q.out | 134 +
.../parquet_vectorization_part_varchar.q.out | 72 +
.../parquet_vectorization_pushdown.q.out | 81 +
.../results/clientpositive/rename_column.q.out | 1 +
.../results/clientpositive/show_tables.q.out | 2 +
.../spark/parquet_vectorization_0.q.out | 31602 +++++++++++++++++
.../spark/parquet_vectorization_1.q.out | 217 +
.../spark/parquet_vectorization_10.q.out | 412 +
.../spark/parquet_vectorization_11.q.out | 176 +
.../spark/parquet_vectorization_12.q.out | 835 +
.../spark/parquet_vectorization_13.q.out | 679 +
.../spark/parquet_vectorization_14.q.out | 929 +
.../spark/parquet_vectorization_15.q.out | 299 +
.../spark/parquet_vectorization_16.q.out | 740 +
.../spark/parquet_vectorization_17.q.out | 560 +
.../spark/parquet_vectorization_2.q.out | 225 +
.../spark/parquet_vectorization_3.q.out | 235 +
.../spark/parquet_vectorization_4.q.out | 225 +
.../spark/parquet_vectorization_5.q.out | 213 +
.../spark/parquet_vectorization_6.q.out | 1732 +
.../spark/parquet_vectorization_7.q.out | 480 +
.../spark/parquet_vectorization_8.q.out | 454 +
.../spark/parquet_vectorization_9.q.out | 740 +
.../parquet_vectorization_decimal_date.q.out | 104 +
.../spark/parquet_vectorization_div0.q.out | 608 +
.../spark/parquet_vectorization_limit.q.out | 932 +
.../parquet_vectorization_nested_udf.q.out | 9 +
.../spark/parquet_vectorization_not.q.out | 58 +
.../parquet_vectorization_offset_limit.q.out | 184 +
.../spark/parquet_vectorization_part.q.out | 72 +
.../parquet_vectorization_part_project.q.out | 143 +
.../parquet_vectorization_part_varchar.q.out | 72 +
.../spark/parquet_vectorization_pushdown.q.out | 90 +
.../clientpositive/spark/temp_table.q.out | 1 +
117 files changed, 87022 insertions(+), 18 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/data/scripts/q_test_cleanup.sql
----------------------------------------------------------------------
diff --git a/data/scripts/q_test_cleanup.sql b/data/scripts/q_test_cleanup.sql
index 4620dcd..1c59381 100644
--- a/data/scripts/q_test_cleanup.sql
+++ b/data/scripts/q_test_cleanup.sql
@@ -17,6 +17,7 @@ DROP TABLE IF EXISTS dest_g1;
DROP TABLE IF EXISTS dest_g2;
DROP TABLE IF EXISTS fetchtask_ioexception;
DROP TABLE IF EXISTS alltypesorc;
+DROP TABLE IF EXISTS alltypesparquet;
DROP TABLE IF EXISTS cbo_t1;
DROP TABLE IF EXISTS cbo_t2;
DROP TABLE IF EXISTS cbo_t3;
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/data/scripts/q_test_init.sql
----------------------------------------------------------------------
diff --git a/data/scripts/q_test_init.sql b/data/scripts/q_test_init.sql
index 37a6d95..971ac0e 100644
--- a/data/scripts/q_test_init.sql
+++ b/data/scripts/q_test_init.sql
@@ -161,6 +161,32 @@ ANALYZE TABLE alltypesorc COMPUTE STATISTICS;
ANALYZE TABLE alltypesorc COMPUTE STATISTICS FOR COLUMNS ctinyint,csmallint,cint,cbigint,cfloat,cdouble,cstring1,cstring2,ctimestamp1,ctimestamp2,cboolean1,cboolean2;
--
+-- Table alltypesparquet
+--
+DROP TABLE IF EXISTS alltypesparquet;
+CREATE TABLE alltypesparquet(
+ ctinyint TINYINT,
+ csmallint SMALLINT,
+ cint INT,
+ cbigint BIGINT,
+ cfloat FLOAT,
+ cdouble DOUBLE,
+ cstring1 STRING,
+ cstring2 STRING,
+ ctimestamp1 TIMESTAMP,
+ ctimestamp2 TIMESTAMP,
+ cboolean1 BOOLEAN,
+ cboolean2 BOOLEAN)
+ STORED AS PARQUET;
+
+INSERT OVERWRITE TABLE alltypesparquet SELECT * FROM alltypesorc;
+
+ANALYZE TABLE alltypesparquet COMPUTE STATISTICS;
+
+ANALYZE TABLE alltypesparquet COMPUTE STATISTICS FOR COLUMNS ctinyint,csmallint,cint,cbigint,cfloat,cdouble,cstring1,cstring2,ctimestamp1,ctimestamp2,cboolean1,cboolean2;
+
+
+--
-- Table primitives
--
DROP TABLE IF EXISTS primitives;
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/itests/src/test/resources/testconfiguration.properties
----------------------------------------------------------------------
diff --git a/itests/src/test/resources/testconfiguration.properties b/itests/src/test/resources/testconfiguration.properties
index e2c59f2..dade8cd 100644
--- a/itests/src/test/resources/testconfiguration.properties
+++ b/itests/src/test/resources/testconfiguration.properties
@@ -769,6 +769,34 @@ spark.query.files=add_part_multiple.q, \
alter_merge_orc.q, \
alter_merge_stats_orc.q, \
annotate_stats_join.q, \
+ parquet_vectorization_0.q ,\
+ parquet_vectorization_10.q ,\
+ parquet_vectorization_11.q ,\
+ parquet_vectorization_12.q ,\
+ parquet_vectorization_13.q ,\
+ parquet_vectorization_14.q ,\
+ parquet_vectorization_15.q ,\
+ parquet_vectorization_16.q ,\
+ parquet_vectorization_17.q ,\
+ parquet_vectorization_1.q ,\
+ parquet_vectorization_2.q ,\
+ parquet_vectorization_3.q ,\
+ parquet_vectorization_4.q ,\
+ parquet_vectorization_5.q ,\
+ parquet_vectorization_6.q ,\
+ parquet_vectorization_7.q ,\
+ parquet_vectorization_8.q ,\
+ parquet_vectorization_9.q ,\
+ parquet_vectorization_decimal_date.q ,\
+ parquet_vectorization_div0.q ,\
+ parquet_vectorization_limit.q ,\
+ parquet_vectorization_nested_udf.q ,\
+ parquet_vectorization_not.q ,\
+ parquet_vectorization_offset_limit.q ,\
+ parquet_vectorization_part_project.q ,\
+ parquet_vectorization_part.q ,\
+ parquet_vectorization_part_varchar.q ,\
+ parquet_vectorization_pushdown.q ,\
auto_join0.q, \
auto_join1.q, \
auto_join10.q, \
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/itests/util/src/main/java/org/apache/hadoop/hive/ql/QTestUtil.java
----------------------------------------------------------------------
diff --git a/itests/util/src/main/java/org/apache/hadoop/hive/ql/QTestUtil.java b/itests/util/src/main/java/org/apache/hadoop/hive/ql/QTestUtil.java
index 551a6de..8457d73 100644
--- a/itests/util/src/main/java/org/apache/hadoop/hive/ql/QTestUtil.java
+++ b/itests/util/src/main/java/org/apache/hadoop/hive/ql/QTestUtil.java
@@ -204,7 +204,9 @@ public class QTestUtil {
HashSet<String> srcTables = new HashSet<String>();
// FIXME: moved default value to here...for now
// i think this features is never really used from the command line
- String defaultTestSrcTables = "src,src1,srcbucket,srcbucket2,src_json,src_thrift,src_sequencefile,srcpart,alltypesorc,src_hbase,cbo_t1,cbo_t2,cbo_t3,src_cbo,part,lineitem";
+ String defaultTestSrcTables = "src,src1,srcbucket,srcbucket2,src_json,src_thrift," +
+ "src_sequencefile,srcpart,alltypesorc,src_hbase,cbo_t1,cbo_t2,cbo_t3,src_cbo,part," +
+ "lineitem,alltypesparquet";
for (String srcTable : System.getProperty("test.src.tables", defaultTestSrcTables).trim().split(",")) {
srcTable = srcTable.trim();
if (!srcTable.isEmpty()) {
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/pom.xml
----------------------------------------------------------------------
diff --git a/pom.xml b/pom.xml
index 6fd2f60..1a5af4e 100644
--- a/pom.xml
+++ b/pom.xml
@@ -1088,7 +1088,7 @@
<test.warehouse.dir>${test.warehouse.scheme}${test.warehouse.dir}</test.warehouse.dir>
<java.net.preferIPv4Stack>true</java.net.preferIPv4Stack>
<!-- EnforceReadOnlyTables hook and QTestUtil -->
- <test.src.tables>src,src1,srcbucket,srcbucket2,src_json,src_thrift,src_sequencefile,srcpart,alltypesorc,src_hbase,cbo_t1,cbo_t2,cbo_t3,src_cbo,part,lineitem</test.src.tables>
+ <test.src.tables>src,src1,srcbucket,srcbucket2,src_json,src_thrift,src_sequencefile,srcpart,alltypesorc,alltypesparquet,src_hbase,cbo_t1,cbo_t2,cbo_t3,src_cbo,part,lineitem</test.src.tables>
<java.security.krb5.conf>${test.conf.dir}/krb5.conf</java.security.krb5.conf>
<!-- Required by spark to work around SPARK-14958 -->
<antlr.version>${antlr.version}</antlr.version>
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_read_backward_compatible_files.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_read_backward_compatible_files.q b/ql/src/test/queries/clientpositive/parquet_read_backward_compatible_files.q
index 0abbc2f..f4928c7 100644
--- a/ql/src/test/queries/clientpositive/parquet_read_backward_compatible_files.q
+++ b/ql/src/test/queries/clientpositive/parquet_read_backward_compatible_files.q
@@ -1,7 +1,7 @@
-- This test makes sure that parquet can read older parquet files written by Hive <= 0.12
-- alltypesparquet is a files written by older version of Hive
-CREATE TABLE alltypesparquet (
+CREATE TABLE alltypesparquet_old (
bo1 boolean,
ti1 tinyint,
si1 smallint,
@@ -15,6 +15,6 @@ CREATE TABLE alltypesparquet (
st1 struct<c1:int,c2:string>
) STORED AS PARQUET;
-LOAD DATA LOCAL INPATH '../../data/files/alltypesparquet' OVERWRITE INTO TABLE alltypesparquet;
+LOAD DATA LOCAL INPATH '../../data/files/alltypesparquet' OVERWRITE INTO TABLE alltypesparquet_old;
-SELECT * FROM alltypesparquet;
\ No newline at end of file
+SELECT * FROM alltypesparquet_old;
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_0.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_0.q b/ql/src/test/queries/clientpositive/parquet_vectorization_0.q
new file mode 100644
index 0000000..69628b8
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_0.q
@@ -0,0 +1,276 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.vectorized.execution.reduce.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+-- Use ORDER BY clauses to generate 2 stages.
+EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(ctinyint) as c1,
+ MAX(ctinyint),
+ COUNT(ctinyint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1;
+
+SELECT MIN(ctinyint) as c1,
+ MAX(ctinyint),
+ COUNT(ctinyint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1;
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(ctinyint) as c1
+FROM alltypesparquet
+ORDER BY c1;
+
+SELECT SUM(ctinyint) as c1
+FROM alltypesparquet
+ORDER BY c1;
+
+EXPLAIN VECTORIZATION
+SELECT
+ avg(ctinyint) as c1,
+ variance(ctinyint),
+ var_pop(ctinyint),
+ var_samp(ctinyint),
+ std(ctinyint),
+ stddev(ctinyint),
+ stddev_pop(ctinyint),
+ stddev_samp(ctinyint)
+FROM alltypesparquet
+ORDER BY c1;
+
+SELECT
+ avg(ctinyint) as c1,
+ variance(ctinyint),
+ var_pop(ctinyint),
+ var_samp(ctinyint),
+ std(ctinyint),
+ stddev(ctinyint),
+ stddev_pop(ctinyint),
+ stddev_samp(ctinyint)
+FROM alltypesparquet
+ORDER BY c1;
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(cbigint) as c1,
+ MAX(cbigint),
+ COUNT(cbigint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1;
+
+SELECT MIN(cbigint) as c1,
+ MAX(cbigint),
+ COUNT(cbigint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1;
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cbigint) as c1
+FROM alltypesparquet
+ORDER BY c1;
+
+SELECT SUM(cbigint) as c1
+FROM alltypesparquet
+ORDER BY c1;
+
+EXPLAIN VECTORIZATION
+SELECT
+ avg(cbigint) as c1,
+ variance(cbigint),
+ var_pop(cbigint),
+ var_samp(cbigint),
+ std(cbigint),
+ stddev(cbigint),
+ stddev_pop(cbigint),
+ stddev_samp(cbigint)
+FROM alltypesparquet
+ORDER BY c1;
+
+SELECT
+ avg(cbigint) as c1,
+ variance(cbigint),
+ var_pop(cbigint),
+ var_samp(cbigint),
+ std(cbigint),
+ stddev(cbigint),
+ stddev_pop(cbigint),
+ stddev_samp(cbigint)
+FROM alltypesparquet
+ORDER BY c1;
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(cfloat) as c1,
+ MAX(cfloat),
+ COUNT(cfloat),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1;
+
+SELECT MIN(cfloat) as c1,
+ MAX(cfloat),
+ COUNT(cfloat),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1;
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cfloat) as c1
+FROM alltypesparquet
+ORDER BY c1;
+
+SELECT SUM(cfloat) as c1
+FROM alltypesparquet
+ORDER BY c1;
+
+EXPLAIN VECTORIZATION
+SELECT
+ avg(cfloat) as c1,
+ variance(cfloat),
+ var_pop(cfloat),
+ var_samp(cfloat),
+ std(cfloat),
+ stddev(cfloat),
+ stddev_pop(cfloat),
+ stddev_samp(cfloat)
+FROM alltypesparquet
+ORDER BY c1;
+
+SELECT
+ avg(cfloat) as c1,
+ variance(cfloat),
+ var_pop(cfloat),
+ var_samp(cfloat),
+ std(cfloat),
+ stddev(cfloat),
+ stddev_pop(cfloat),
+ stddev_samp(cfloat)
+FROM alltypesparquet
+ORDER BY c1;
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (cbigint < cdouble)))
+ OR ((ctinyint >= csmallint)
+ AND ((cboolean2 = 1)
+ AND (3569 = ctinyint))));
+
+SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (cbigint < cdouble)))
+ OR ((ctinyint >= csmallint)
+ AND ((cboolean2 = 1)
+ AND (3569 = ctinyint))));
+
+EXPLAIN extended
+select count(*) from alltypesparquet
+ where (((cstring1 LIKE 'a%') or ((cstring1 like 'b%') or (cstring1 like 'c%'))) or
+ ((length(cstring1) < 50 ) and ((cstring1 like '%n') and (length(cstring1) > 0))));
+
+select count(*) from alltypesparquet
+ where (((cstring1 LIKE 'a%') or ((cstring1 like 'b%') or (cstring1 like 'c%'))) or
+ ((length(cstring1) < 50 ) and ((cstring1 like '%n') and (length(cstring1) > 0))));
+
+set hive.vectorized.execution.enabled=true;
+set hive.compute.query.using.stats=false;
+
+select min(ctinyint), max(ctinyint), sum(ctinyint), avg(ctinyint) from alltypesparquet;
+select min(csmallint), max(csmallint), sum(csmallint), avg(csmallint) from alltypesparquet;
+select min(cint), max(cint), sum(cint), avg(cint) from alltypesparquet;
+select min(cbigint), max(cbigint), sum(cbigint), avg(cbigint) from alltypesparquet;
+select min(cdouble), max(cdouble), sum(cdouble), avg(cdouble) from alltypesparquet;
+select distinct cstring1 from alltypesparquet;
+select distinct cstring1, ctinyint from alltypesparquet;
+select cstring1, max(cbigint) from alltypesparquet
+ group by cstring1
+ order by cstring1 desc;
+
+set hive.vectorized.execution.reduce.enabled=true;
+set hive.vectorized.execution.reduce.groupby.enabled=true;
+select cstring1, cint, ctinyint from alltypesparquet
+ where cstring1 > 'religion';
+select cstring1, cint, ctinyint from alltypesparquet where cstring1 <> 'religion';
+
+select ctinyint, csmallint, cint, cbigint, cdouble, cdouble, cstring1 from alltypesparquet
+ where ctinyint > 0 and csmallint > 0 and cint > 0 and cbigint > 0 and
+ cfloat > 0.0 and cdouble > 0.0 and cstring1 > 'm';
+
+set hive.optimize.point.lookup=false;
+--test to make sure multi and/or expressions are being vectorized
+explain extended select * from alltypesparquet where
+ (cint=49 and cfloat=3.5) or
+ (cint=47 and cfloat=2.09) or
+ (cint=45 and cfloat=3.02);
+
+set hive.optimize.point.lookup=true;
+set hive.optimize.point.lookup.min=1;
+
+explain extended select * from alltypesparquet where
+ (cint=49 and cfloat=3.5) or
+ (cint=47 and cfloat=2.09) or
+ (cint=45 and cfloat=3.02);
+
+explain extended select * from alltypesparquet where
+ (cint=49 or cfloat=3.5) and
+ (cint=47 or cfloat=2.09) and
+ (cint=45 or cfloat=3.02);
+
+explain extended select count(*),cstring1 from alltypesparquet where cstring1='biology'
+ or cstring1='history'
+ or cstring1='topology' group by cstring1 order by cstring1;
+
+
+drop table if exists cast_string_to_int_1;
+drop table if exists cast_string_to_int_2;
+
+create table cast_string_to_int_1 as select CAST(CAST(key as float) as string),value from srcbucket;
+create table cast_string_to_int_2(i int,s string);
+insert overwrite table cast_string_to_int_2 select * from cast_string_to_int_1;
+
+--moving ALL_1 system test here
+select all key from src;
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_1.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_1.q b/ql/src/test/queries/clientpositive/parquet_vectorization_1.q
new file mode 100644
index 0000000..95b2c9e
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_1.q
@@ -0,0 +1,47 @@
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+set hive.vectorized.execution.reduce.enabled=true;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT VAR_POP(ctinyint),
+ (VAR_POP(ctinyint) / -26.28),
+ SUM(cfloat),
+ (-1.389 + SUM(cfloat)),
+ (SUM(cfloat) * (-1.389 + SUM(cfloat))),
+ MAX(ctinyint),
+ (-((SUM(cfloat) * (-1.389 + SUM(cfloat))))),
+ MAX(cint),
+ (MAX(cint) * 79.553),
+ VAR_SAMP(cdouble),
+ (10.175 % (-((SUM(cfloat) * (-1.389 + SUM(cfloat)))))),
+ COUNT(cint),
+ (-563 % MAX(cint))
+FROM alltypesparquet
+WHERE (((cdouble > ctinyint)
+ AND (cboolean2 > 0))
+ OR ((cbigint < ctinyint)
+ OR ((cint > cbigint)
+ OR (cboolean1 < 0))));
+
+SELECT VAR_POP(ctinyint),
+ (VAR_POP(ctinyint) / -26.28),
+ SUM(cfloat),
+ (-1.389 + SUM(cfloat)),
+ (SUM(cfloat) * (-1.389 + SUM(cfloat))),
+ MAX(ctinyint),
+ (-((SUM(cfloat) * (-1.389 + SUM(cfloat))))),
+ MAX(cint),
+ (MAX(cint) * 79.553),
+ VAR_SAMP(cdouble),
+ (10.175 % (-((SUM(cfloat) * (-1.389 + SUM(cfloat)))))),
+ COUNT(cint),
+ (-563 % MAX(cint))
+FROM alltypesparquet
+WHERE (((cdouble > ctinyint)
+ AND (cboolean2 > 0))
+ OR ((cbigint < ctinyint)
+ OR ((cint > cbigint)
+ OR (cboolean1 < 0))));
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_10.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_10.q b/ql/src/test/queries/clientpositive/parquet_vectorization_10.q
new file mode 100644
index 0000000..14077e3
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_10.q
@@ -0,0 +1,52 @@
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT cdouble,
+ ctimestamp1,
+ ctinyint,
+ cboolean1,
+ cstring1,
+ (-(cdouble)),
+ (cdouble + csmallint),
+ ((cdouble + csmallint) % 33),
+ (-(cdouble)),
+ (ctinyint % cdouble),
+ (ctinyint % csmallint),
+ (-(cdouble)),
+ (cbigint * (ctinyint % csmallint)),
+ (9763215.5639 - (cdouble + csmallint)),
+ (-((-(cdouble))))
+FROM alltypesparquet
+WHERE (((cstring2 <= '10')
+ OR ((ctinyint > cdouble)
+ AND (-5638.15 >= ctinyint)))
+ OR ((cdouble > 6981)
+ AND ((csmallint = 9763215.5639)
+ OR (cstring1 LIKE '%a'))));
+
+SELECT cdouble,
+ ctimestamp1,
+ ctinyint,
+ cboolean1,
+ cstring1,
+ (-(cdouble)),
+ (cdouble + csmallint),
+ ((cdouble + csmallint) % 33),
+ (-(cdouble)),
+ (ctinyint % cdouble),
+ (ctinyint % csmallint),
+ (-(cdouble)),
+ (cbigint * (ctinyint % csmallint)),
+ (9763215.5639 - (cdouble + csmallint)),
+ (-((-(cdouble))))
+FROM alltypesparquet
+WHERE (((cstring2 <= '10')
+ OR ((ctinyint > cdouble)
+ AND (-5638.15 >= ctinyint)))
+ OR ((cdouble > 6981)
+ AND ((csmallint = 9763215.5639)
+ OR (cstring1 LIKE '%a'))));
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_11.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_11.q b/ql/src/test/queries/clientpositive/parquet_vectorization_11.q
new file mode 100644
index 0000000..48ddecf
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_11.q
@@ -0,0 +1,34 @@
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cboolean1,
+ cdouble,
+ ctimestamp1,
+ (-3728 * csmallint),
+ (cdouble - 9763215.5639),
+ (-(cdouble)),
+ ((-(cdouble)) + 6981),
+ (cdouble * -5638.15)
+FROM alltypesparquet
+WHERE ((cstring2 = cstring1)
+ OR ((ctimestamp1 IS NULL)
+ AND (cstring1 LIKE '%a')));
+
+SELECT cstring1,
+ cboolean1,
+ cdouble,
+ ctimestamp1,
+ (-3728 * csmallint),
+ (cdouble - 9763215.5639),
+ (-(cdouble)),
+ ((-(cdouble)) + 6981),
+ (cdouble * -5638.15)
+FROM alltypesparquet
+WHERE ((cstring2 = cstring1)
+ OR ((ctimestamp1 IS NULL)
+ AND (cstring1 LIKE '%a')));
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_12.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_12.q b/ql/src/test/queries/clientpositive/parquet_vectorization_12.q
new file mode 100644
index 0000000..e3606e6
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_12.q
@@ -0,0 +1,69 @@
+set hive.mapred.mode=nonstrict;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT cbigint,
+ cboolean1,
+ cstring1,
+ ctimestamp1,
+ cdouble,
+ (-6432 * cdouble),
+ (-(cbigint)),
+ COUNT(cbigint),
+ (cbigint * COUNT(cbigint)),
+ STDDEV_SAMP(cbigint),
+ ((-6432 * cdouble) / -6432),
+ (-(((-6432 * cdouble) / -6432))),
+ AVG(cdouble),
+ (-((-6432 * cdouble))),
+ (-5638.15 + cbigint),
+ SUM(cbigint),
+ (AVG(cdouble) / (-6432 * cdouble)),
+ AVG(cdouble),
+ (-((-(((-6432 * cdouble) / -6432))))),
+ (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))),
+ STDDEV_POP(cdouble)
+FROM alltypesparquet
+WHERE (((ctimestamp1 IS NULL)
+ AND ((cboolean1 >= cboolean2)
+ OR (ctinyint != csmallint)))
+ AND ((cstring1 LIKE '%a')
+ OR ((cboolean2 <= 1)
+ AND (cbigint >= csmallint))))
+GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble
+ORDER BY ctimestamp1, cdouble, cbigint, cstring1;
+
+SELECT cbigint,
+ cboolean1,
+ cstring1,
+ ctimestamp1,
+ cdouble,
+ (-6432 * cdouble),
+ (-(cbigint)),
+ COUNT(cbigint),
+ (cbigint * COUNT(cbigint)),
+ STDDEV_SAMP(cbigint),
+ ((-6432 * cdouble) / -6432),
+ (-(((-6432 * cdouble) / -6432))),
+ AVG(cdouble),
+ (-((-6432 * cdouble))),
+ (-5638.15 + cbigint),
+ SUM(cbigint),
+ (AVG(cdouble) / (-6432 * cdouble)),
+ AVG(cdouble),
+ (-((-(((-6432 * cdouble) / -6432))))),
+ (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))),
+ STDDEV_POP(cdouble)
+FROM alltypesparquet
+WHERE (((ctimestamp1 IS NULL)
+ AND ((cboolean1 >= cboolean2)
+ OR (ctinyint != csmallint)))
+ AND ((cstring1 LIKE '%a')
+ OR ((cboolean2 <= 1)
+ AND (cbigint >= csmallint))))
+GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble
+ORDER BY ctimestamp1, cdouble, cbigint, cstring1;
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_13.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_13.q b/ql/src/test/queries/clientpositive/parquet_vectorization_13.q
new file mode 100644
index 0000000..0763330
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_13.q
@@ -0,0 +1,137 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > 11)
+ AND ((ctimestamp2 != 12)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40;
+
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > 11)
+ AND ((ctimestamp2 != 12)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40;
+
+-- double compare timestamp
+EXPLAIN VECTORIZATION EXPRESSION
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > -1.388)
+ AND ((ctimestamp2 != -1.3359999999999999)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40;
+
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > -1.388)
+ AND ((ctimestamp2 != -1.3359999999999999)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40;
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_14.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_14.q b/ql/src/test/queries/clientpositive/parquet_vectorization_14.q
new file mode 100644
index 0000000..ac8eecc
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_14.q
@@ -0,0 +1,72 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT ctimestamp1,
+ cfloat,
+ cstring1,
+ cboolean1,
+ cdouble,
+ (-26.28 + cdouble),
+ (-((-26.28 + cdouble))),
+ STDDEV_SAMP((-((-26.28 + cdouble)))),
+ (cfloat * -26.28),
+ MAX(cfloat),
+ (-(cfloat)),
+ (-(MAX(cfloat))),
+ ((-((-26.28 + cdouble))) / 10.175),
+ STDDEV_POP(cfloat),
+ COUNT(cfloat),
+ (-(((-((-26.28 + cdouble))) / 10.175))),
+ (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))),
+ (cfloat - cdouble),
+ VAR_POP(cfloat),
+ (VAR_POP(cfloat) % 10.175),
+ VAR_SAMP(cfloat),
+ (-((cfloat - cdouble)))
+FROM alltypesparquet
+WHERE (((ctinyint <= cbigint)
+ AND ((cint <= cdouble)
+ OR (ctimestamp2 < ctimestamp1)))
+ AND ((cdouble < ctinyint)
+ AND ((cbigint > -257)
+ OR (cfloat < cint))))
+GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble
+ORDER BY cstring1, cfloat, cdouble, ctimestamp1;
+
+SELECT ctimestamp1,
+ cfloat,
+ cstring1,
+ cboolean1,
+ cdouble,
+ (-26.28 + cdouble),
+ (-((-26.28 + cdouble))),
+ STDDEV_SAMP((-((-26.28 + cdouble)))),
+ (cfloat * -26.28),
+ MAX(cfloat),
+ (-(cfloat)),
+ (-(MAX(cfloat))),
+ ((-((-26.28 + cdouble))) / 10.175),
+ STDDEV_POP(cfloat),
+ COUNT(cfloat),
+ (-(((-((-26.28 + cdouble))) / 10.175))),
+ (-1.389 % STDDEV_SAMP((-((-26.28 + cdouble))))),
+ (cfloat - cdouble),
+ VAR_POP(cfloat),
+ (VAR_POP(cfloat) % 10.175),
+ VAR_SAMP(cfloat),
+ (-((cfloat - cdouble)))
+FROM alltypesparquet
+WHERE (((ctinyint <= cbigint)
+ AND ((cint <= cdouble)
+ OR (ctimestamp2 < ctimestamp1)))
+ AND ((cdouble < ctinyint)
+ AND ((cbigint > -257)
+ OR (cfloat < cint))))
+GROUP BY ctimestamp1, cfloat, cstring1, cboolean1, cdouble
+ORDER BY cstring1, cfloat, cdouble, ctimestamp1;
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_15.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_15.q b/ql/src/test/queries/clientpositive/parquet_vectorization_15.q
new file mode 100644
index 0000000..4024b32
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_15.q
@@ -0,0 +1,71 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- Until HIVE-16756: 'Vectorization: LongColModuloLongColumn throws "java.lang.ArithmeticException: / by zero"' is resolved, do not vectorize Reducers
+set hive.vectorized.execution.reduce.enabled=false;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT cfloat,
+ cboolean1,
+ cdouble,
+ cstring1,
+ ctinyint,
+ cint,
+ ctimestamp1,
+ STDDEV_SAMP(cfloat),
+ (-26.28 - cint),
+ MIN(cdouble),
+ (cdouble * 79.553),
+ (33 % cfloat),
+ STDDEV_SAMP(ctinyint),
+ VAR_POP(ctinyint),
+ (-23 % cdouble),
+ (-(ctinyint)),
+ VAR_SAMP(cint),
+ (cint - cfloat),
+ (-23 % ctinyint),
+ (-((-26.28 - cint))),
+ STDDEV_POP(cint)
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%ss%')
+ OR (cstring1 LIKE '10%'))
+ OR ((cint >= -75)
+ AND ((ctinyint = csmallint)
+ AND (cdouble >= -3728))))
+GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1;
+
+SELECT cfloat,
+ cboolean1,
+ cdouble,
+ cstring1,
+ ctinyint,
+ cint,
+ ctimestamp1,
+ STDDEV_SAMP(cfloat),
+ (-26.28 - cint),
+ MIN(cdouble),
+ (cdouble * 79.553),
+ (33 % cfloat),
+ STDDEV_SAMP(ctinyint),
+ VAR_POP(ctinyint),
+ (-23 % cdouble),
+ (-(ctinyint)),
+ VAR_SAMP(cint),
+ (cint - cfloat),
+ (-23 % ctinyint),
+ (-((-26.28 - cint))),
+ STDDEV_POP(cint)
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%ss%')
+ OR (cstring1 LIKE '10%'))
+ OR ((cint >= -75)
+ AND ((ctinyint = csmallint)
+ AND (cdouble >= -3728))))
+GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1;
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_16.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_16.q b/ql/src/test/queries/clientpositive/parquet_vectorization_16.q
new file mode 100644
index 0000000..c773e9e
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_16.q
@@ -0,0 +1,46 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1;
+
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1;
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_17.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_17.q b/ql/src/test/queries/clientpositive/parquet_vectorization_17.q
new file mode 100644
index 0000000..7a216b7
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_17.q
@@ -0,0 +1,53 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT cfloat,
+ cstring1,
+ cint,
+ ctimestamp1,
+ cdouble,
+ cbigint,
+ (cfloat / ctinyint),
+ (cint % cbigint),
+ (-(cdouble)),
+ (cdouble + (cfloat / ctinyint)),
+ (cdouble / cint),
+ (-((-(cdouble)))),
+ (9763215.5639 % cbigint),
+ (2563.58 + (-((-(cdouble)))))
+FROM alltypesparquet
+WHERE (((cbigint > -23)
+ AND ((cdouble != 988888)
+ OR (cint > -863.257)))
+ AND ((ctinyint >= 33)
+ OR ((csmallint >= cbigint)
+ OR (cfloat = cdouble))))
+ORDER BY cbigint, cfloat;
+
+SELECT cfloat,
+ cstring1,
+ cint,
+ ctimestamp1,
+ cdouble,
+ cbigint,
+ (cfloat / ctinyint),
+ (cint % cbigint),
+ (-(cdouble)),
+ (cdouble + (cfloat / ctinyint)),
+ (cdouble / cint),
+ (-((-(cdouble)))),
+ (9763215.5639 % cbigint),
+ (2563.58 + (-((-(cdouble)))))
+FROM alltypesparquet
+WHERE (((cbigint > -23)
+ AND ((cdouble != 988888)
+ OR (cint > -863.257)))
+ AND ((ctinyint >= 33)
+ OR ((csmallint >= cbigint)
+ OR (cfloat = cdouble))))
+ORDER BY cbigint, cfloat;
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_2.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_2.q b/ql/src/test/queries/clientpositive/parquet_vectorization_2.q
new file mode 100644
index 0000000..193523e
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_2.q
@@ -0,0 +1,50 @@
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT AVG(csmallint),
+ (AVG(csmallint) % -563),
+ (AVG(csmallint) + 762),
+ SUM(cfloat),
+ VAR_POP(cbigint),
+ (-(VAR_POP(cbigint))),
+ (SUM(cfloat) - AVG(csmallint)),
+ COUNT(*),
+ (-((SUM(cfloat) - AVG(csmallint)))),
+ (VAR_POP(cbigint) - 762),
+ MIN(ctinyint),
+ ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
+ AVG(cdouble),
+ (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
+FROM alltypesparquet
+WHERE (((ctimestamp1 < ctimestamp2)
+ AND ((cstring2 LIKE 'b%')
+ AND (cfloat <= -5638.15)))
+ OR ((cdouble < ctinyint)
+ AND ((-10669 != ctimestamp2)
+ OR (359 > cint))));
+
+SELECT AVG(csmallint),
+ (AVG(csmallint) % -563),
+ (AVG(csmallint) + 762),
+ SUM(cfloat),
+ VAR_POP(cbigint),
+ (-(VAR_POP(cbigint))),
+ (SUM(cfloat) - AVG(csmallint)),
+ COUNT(*),
+ (-((SUM(cfloat) - AVG(csmallint)))),
+ (VAR_POP(cbigint) - 762),
+ MIN(ctinyint),
+ ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
+ AVG(cdouble),
+ (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
+FROM alltypesparquet
+WHERE (((ctimestamp1 < ctimestamp2)
+ AND ((cstring2 LIKE 'b%')
+ AND (cfloat <= -5638.15)))
+ OR ((cdouble < ctinyint)
+ AND ((-10669 != ctimestamp2)
+ OR (359 > cint))));
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_3.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_3.q b/ql/src/test/queries/clientpositive/parquet_vectorization_3.q
new file mode 100644
index 0000000..a58e60a
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_3.q
@@ -0,0 +1,55 @@
+set hive.mapred.mode=nonstrict;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT STDDEV_SAMP(csmallint),
+ (STDDEV_SAMP(csmallint) - 10.175),
+ STDDEV_POP(ctinyint),
+ (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
+ (-(STDDEV_POP(ctinyint))),
+ (STDDEV_SAMP(csmallint) % 79.553),
+ (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
+ STDDEV_SAMP(cfloat),
+ (-(STDDEV_SAMP(csmallint))),
+ SUM(cfloat),
+ ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
+ (-((STDDEV_SAMP(csmallint) - 10.175))),
+ AVG(cint),
+ (-3728 - STDDEV_SAMP(csmallint)),
+ STDDEV_POP(cint),
+ (AVG(cint) / STDDEV_SAMP(cfloat))
+FROM alltypesparquet
+WHERE (((cint <= cfloat)
+ AND ((79.553 != cbigint)
+ AND (ctimestamp2 = -29071)))
+ OR ((cbigint > cdouble)
+ AND ((79.553 <= csmallint)
+ AND (ctimestamp1 > ctimestamp2))));
+
+SELECT STDDEV_SAMP(csmallint),
+ (STDDEV_SAMP(csmallint) - 10.175),
+ STDDEV_POP(ctinyint),
+ (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
+ (-(STDDEV_POP(ctinyint))),
+ (STDDEV_SAMP(csmallint) % 79.553),
+ (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
+ STDDEV_SAMP(cfloat),
+ (-(STDDEV_SAMP(csmallint))),
+ SUM(cfloat),
+ ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
+ (-((STDDEV_SAMP(csmallint) - 10.175))),
+ AVG(cint),
+ (-3728 - STDDEV_SAMP(csmallint)),
+ STDDEV_POP(cint),
+ (AVG(cint) / STDDEV_SAMP(cfloat))
+FROM alltypesparquet
+WHERE (((cint <= cfloat)
+ AND ((79.553 != cbigint)
+ AND (ctimestamp2 = -29071)))
+ OR ((cbigint > cdouble)
+ AND ((79.553 <= csmallint)
+ AND (ctimestamp1 > ctimestamp2))));
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_4.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_4.q b/ql/src/test/queries/clientpositive/parquet_vectorization_4.q
new file mode 100644
index 0000000..78e5ada
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_4.q
@@ -0,0 +1,50 @@
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cint),
+ (SUM(cint) * -563),
+ (-3728 + SUM(cint)),
+ STDDEV_POP(cdouble),
+ (-(STDDEV_POP(cdouble))),
+ AVG(cdouble),
+ ((SUM(cint) * -563) % SUM(cint)),
+ (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
+ VAR_POP(cdouble),
+ (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
+ ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
+ MIN(ctinyint),
+ MIN(ctinyint),
+ (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
+FROM alltypesparquet
+WHERE (((csmallint >= cint)
+ OR ((-89010 >= ctinyint)
+ AND (cdouble > 79.553)))
+ OR ((-563 != cbigint)
+ AND ((ctinyint != cbigint)
+ OR (-3728 >= cdouble))));
+
+SELECT SUM(cint),
+ (SUM(cint) * -563),
+ (-3728 + SUM(cint)),
+ STDDEV_POP(cdouble),
+ (-(STDDEV_POP(cdouble))),
+ AVG(cdouble),
+ ((SUM(cint) * -563) % SUM(cint)),
+ (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
+ VAR_POP(cdouble),
+ (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
+ ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
+ MIN(ctinyint),
+ MIN(ctinyint),
+ (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
+FROM alltypesparquet
+WHERE (((csmallint >= cint)
+ OR ((-89010 >= ctinyint)
+ AND (cdouble > 79.553)))
+ OR ((-563 != cbigint)
+ AND ((ctinyint != cbigint)
+ OR (-3728 >= cdouble))));
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_5.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_5.q b/ql/src/test/queries/clientpositive/parquet_vectorization_5.q
new file mode 100644
index 0000000..d5758e7
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_5.q
@@ -0,0 +1,44 @@
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT MAX(csmallint),
+ (MAX(csmallint) * -75),
+ COUNT(*),
+ ((MAX(csmallint) * -75) / COUNT(*)),
+ (6981 * MAX(csmallint)),
+ MIN(csmallint),
+ (-(MIN(csmallint))),
+ (197 % ((MAX(csmallint) * -75) / COUNT(*))),
+ SUM(cint),
+ MAX(ctinyint),
+ (-(MAX(ctinyint))),
+ ((-(MAX(ctinyint))) + MAX(ctinyint))
+FROM alltypesparquet
+WHERE (((cboolean2 IS NOT NULL)
+ AND (cstring1 LIKE '%b%'))
+ OR ((ctinyint = cdouble)
+ AND ((ctimestamp2 IS NOT NULL)
+ AND (cstring2 LIKE 'a'))));
+
+SELECT MAX(csmallint),
+ (MAX(csmallint) * -75),
+ COUNT(*),
+ ((MAX(csmallint) * -75) / COUNT(*)),
+ (6981 * MAX(csmallint)),
+ MIN(csmallint),
+ (-(MIN(csmallint))),
+ (197 % ((MAX(csmallint) * -75) / COUNT(*))),
+ SUM(cint),
+ MAX(ctinyint),
+ (-(MAX(ctinyint))),
+ ((-(MAX(ctinyint))) + MAX(ctinyint))
+FROM alltypesparquet
+WHERE (((cboolean2 IS NOT NULL)
+ AND (cstring1 LIKE '%b%'))
+ OR ((ctinyint = cdouble)
+ AND ((ctimestamp2 IS NOT NULL)
+ AND (cstring2 LIKE 'a'))));
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_6.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_6.q b/ql/src/test/queries/clientpositive/parquet_vectorization_6.q
new file mode 100644
index 0000000..50f987e
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_6.q
@@ -0,0 +1,46 @@
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ cfloat,
+ cstring1,
+ (988888 * csmallint),
+ (-(csmallint)),
+ (-(cfloat)),
+ (-26.28 / cfloat),
+ (cfloat * 359),
+ (cint % ctinyint),
+ (-(cdouble)),
+ (ctinyint - -75),
+ (762 * (cint % ctinyint))
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND ((((cboolean1 <= 0)
+ AND (cboolean2 >= cboolean1))
+ OR ((cbigint IS NOT NULL)
+ AND ((cstring2 LIKE '%a')
+ OR (cfloat <= -257))))));
+
+SELECT cboolean1,
+ cfloat,
+ cstring1,
+ (988888 * csmallint),
+ (-(csmallint)),
+ (-(cfloat)),
+ (-26.28 / cfloat),
+ (cfloat * 359),
+ (cint % ctinyint),
+ (-(cdouble)),
+ (ctinyint - -75),
+ (762 * (cint % ctinyint))
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND ((((cboolean1 <= 0)
+ AND (cboolean2 >= cboolean1))
+ OR ((cbigint IS NOT NULL)
+ AND ((cstring2 LIKE '%a')
+ OR (cfloat <= -257))))));
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_7.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_7.q b/ql/src/test/queries/clientpositive/parquet_vectorization_7.q
new file mode 100644
index 0000000..1888535
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_7.q
@@ -0,0 +1,115 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > -15)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25;
+
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > -15)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25;
+
+
+-- double compare timestamp
+EXPLAIN VECTORIZATION EXPRESSION
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0.0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > 7.6850000000000005)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25;
+
+SELECT cboolean1,
+ cbigint,
+ csmallint,
+ ctinyint,
+ ctimestamp1,
+ cstring1,
+ (cbigint + cbigint) as c1,
+ (csmallint % -257) as c2,
+ (-(csmallint)) as c3,
+ (-(ctinyint)) as c4,
+ ((-(ctinyint)) + 17) as c5,
+ (cbigint * (-(csmallint))) as c6,
+ (cint % csmallint) as c7,
+ (-(ctinyint)) as c8,
+ ((-(ctinyint)) % ctinyint) as c9
+FROM alltypesparquet
+WHERE ((ctinyint != 0)
+ AND (((ctimestamp1 <= 0.0)
+ OR ((ctinyint = cint)
+ OR (cstring2 LIKE 'ss')))
+ AND ((988888 < cdouble)
+ OR ((ctimestamp2 > 7.6850000000000005)
+ AND (3569 >= cdouble)))))
+ORDER BY cboolean1, cbigint, csmallint, ctinyint, ctimestamp1, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 25;
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_8.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_8.q b/ql/src/test/queries/clientpositive/parquet_vectorization_8.q
new file mode 100644
index 0000000..7d3223e
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_8.q
@@ -0,0 +1,107 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 10)
+ AND (ctimestamp2 != 16)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20;
+
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 10)
+ AND (ctimestamp2 != 16)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20;
+
+
+-- double compare timestamp
+EXPLAIN VECTORIZATION EXPRESSION
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 12.503)
+ AND (ctimestamp2 != 11.998)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20;
+
+SELECT ctimestamp1,
+ cdouble,
+ cboolean1,
+ cstring1,
+ cfloat,
+ (-(cdouble)) as c1,
+ (-5638.15 - cdouble) as c2,
+ (cdouble * -257) as c3,
+ (cint + cfloat) as c4,
+ ((-(cdouble)) + cbigint) as c5,
+ (-(cdouble)) as c6,
+ (-1.389 - cfloat) as c7,
+ (-(cfloat)) as c8,
+ ((-5638.15 - cdouble) + (cint + cfloat)) as c9
+FROM alltypesparquet
+WHERE (((cstring2 IS NOT NULL)
+ AND ((ctimestamp1 <= 12.503)
+ AND (ctimestamp2 != 11.998)))
+ OR ((cfloat < -6432)
+ OR ((cboolean1 IS NOT NULL)
+ AND (cdouble = 988888))))
+ORDER BY ctimestamp1, cdouble, cboolean1, cstring1, cfloat, c1, c2, c3, c4, c5, c6, c7, c8, c9
+LIMIT 20;
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_9.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_9.q b/ql/src/test/queries/clientpositive/parquet_vectorization_9.q
new file mode 100644
index 0000000..c773e9e
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_9.q
@@ -0,0 +1,46 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1;
+
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1;
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_decimal_date.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_decimal_date.q b/ql/src/test/queries/clientpositive/parquet_vectorization_decimal_date.q
new file mode 100644
index 0000000..fac6ad9
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_decimal_date.q
@@ -0,0 +1,7 @@
+set hive.explain.user=false;
+set hive.fetch.task.conversion=none;
+
+CREATE TABLE date_decimal_test_parquet STORED AS PARQUET AS SELECT cint, cdouble, CAST (CAST (cint AS TIMESTAMP) AS DATE) AS cdate, CAST (((cdouble*22.1)/37) AS DECIMAL(20,10)) AS cdecimal FROM alltypesparquet;
+SET hive.vectorized.execution.enabled=true;
+EXPLAIN VECTORIZATION EXPRESSION SELECT cdate, cdecimal from date_decimal_test_parquet where cint IS NOT NULL AND cdouble IS NOT NULL LIMIT 10;
+SELECT cdate, cdecimal from date_decimal_test_parquet where cint IS NOT NULL AND cdouble IS NOT NULL LIMIT 10;
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_div0.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_div0.q b/ql/src/test/queries/clientpositive/parquet_vectorization_div0.q
new file mode 100644
index 0000000..e8a4aa7
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_div0.q
@@ -0,0 +1,27 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled = true;
+set hive.fetch.task.conversion=none;
+
+-- TODO: add more stuff here after HIVE-5918 is fixed, such as cbigint and constants
+explain vectorization expression
+select cdouble / 0.0 from alltypesparquet limit 100;
+select cdouble / 0.0 from alltypesparquet limit 100;
+
+-- There are no zeros in the table, but there is 988888, so use it as zero
+
+-- TODO: add more stuff here after HIVE-5918 is fixed, such as cbigint and constants as numerators
+explain vectorization expression
+select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / (cbigint - 988888L)
+from alltypesparquet where cbigint > 0 and cbigint < 100000000 order by s1, s2 limit 100;
+select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / (cbigint - 988888L)
+from alltypesparquet where cbigint > 0 and cbigint < 100000000 order by s1, s2 limit 100;
+
+-- There are no zeros in the table, but there is -200.0, so use it as zero
+
+explain vectorization expression
+select (cdouble + 200.0) as s1, cbigint / (cdouble + 200.0) as s2, (cdouble + 200.0) / (cdouble + 200.0), cbigint / (cdouble + 200.0), 3 / (cdouble + 200.0), 1.2 / (cdouble + 200.0)
+from alltypesparquet where cdouble >= -500 and cdouble < -199 order by s1, s2 limit 100;
+select (cdouble + 200.0) as s1, cbigint / (cdouble + 200.0) as s2, (cdouble + 200.0) / (cdouble + 200.0), cbigint / (cdouble + 200.0), 3 / (cdouble + 200.0), 1.2 / (cdouble + 200.0)
+from alltypesparquet where cdouble >= -500 and cdouble < -199 order by s1, s2 limit 100;
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_limit.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_limit.q b/ql/src/test/queries/clientpositive/parquet_vectorization_limit.q
new file mode 100644
index 0000000..76d1bd5
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_limit.q
@@ -0,0 +1,43 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+-- SORT_QUERY_RESULTS
+
+explain vectorization SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 7;
+SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 7;
+
+set hive.optimize.reducededuplication.min.reducer=1;
+set hive.limit.pushdown.memory.usage=0.3f;
+
+-- HIVE-3562 Some limit can be pushed down to map stage - c/p parts from limit_pushdown
+
+explain vectorization detail
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 20;
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 20;
+
+-- deduped RS
+explain vectorization detail
+select ctinyint,avg(cdouble + 1) from alltypesparquet group by ctinyint order by ctinyint limit 20;
+select ctinyint,avg(cdouble + 1) from alltypesparquet group by ctinyint order by ctinyint limit 20;
+
+-- distincts
+explain vectorization detail
+select distinct(ctinyint) from alltypesparquet limit 20;
+select distinct(ctinyint) from alltypesparquet limit 20;
+
+explain vectorization detail
+select ctinyint, count(distinct(cdouble)) from alltypesparquet group by ctinyint order by ctinyint limit 20;
+select ctinyint, count(distinct(cdouble)) from alltypesparquet group by ctinyint order by ctinyint limit 20;
+
+-- limit zero
+explain vectorization detail
+select ctinyint,cdouble from alltypesparquet order by ctinyint limit 0;
+select ctinyint,cdouble from alltypesparquet order by ctinyint limit 0;
+
+-- 2MR (applied to last RS)
+explain vectorization detail
+select cdouble, sum(ctinyint) as sum from alltypesparquet where ctinyint is not null group by cdouble order by sum, cdouble limit 20;
+select cdouble, sum(ctinyint) as sum from alltypesparquet where ctinyint is not null group by cdouble order by sum, cdouble limit 20;
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_nested_udf.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_nested_udf.q b/ql/src/test/queries/clientpositive/parquet_vectorization_nested_udf.q
new file mode 100644
index 0000000..2f65b40
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_nested_udf.q
@@ -0,0 +1,5 @@
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+SELECT SUM(abs(ctinyint)) from alltypesparquet;
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_not.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_not.q b/ql/src/test/queries/clientpositive/parquet_vectorization_not.q
new file mode 100644
index 0000000..343b857
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_not.q
@@ -0,0 +1,30 @@
+set hive.mapred.mode=nonstrict;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (NOT(cbigint >= cdouble))))
+ OR ((ctinyint >= csmallint)
+ AND (NOT ((cboolean2 != 1)
+ OR (3569 != ctinyint)))));
+
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_offset_limit.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_offset_limit.q b/ql/src/test/queries/clientpositive/parquet_vectorization_offset_limit.q
new file mode 100644
index 0000000..99e6139
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_offset_limit.q
@@ -0,0 +1,11 @@
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.mapred.mode=nonstrict;
+set hive.fetch.task.conversion=none;
+
+explain vectorization SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 3,2;
+SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 3,2;
+
+explain vectorization expression
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 10,3;
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 10,3;
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_part.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_part.q b/ql/src/test/queries/clientpositive/parquet_vectorization_part.q
new file mode 100644
index 0000000..49eecf1
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_part.q
@@ -0,0 +1,10 @@
+set hive.mapred.mode=nonstrict;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+CREATE TABLE alltypesparquet_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS PARQUET;
+insert overwrite table alltypesparquet_part partition (ds='2011') select * from alltypesparquet limit 100;
+insert overwrite table alltypesparquet_part partition (ds='2012') select * from alltypesparquet limit 100;
+
+select count(cdouble), cint from alltypesparquet_part where ds='2011' group by cint limit 10;
+select count(*) from alltypesparquet_part A join alltypesparquet_part B on A.ds=B.ds;
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_part_project.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_part_project.q b/ql/src/test/queries/clientpositive/parquet_vectorization_part_project.q
new file mode 100644
index 0000000..0eb8965
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_part_project.q
@@ -0,0 +1,11 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+CREATE TABLE alltypesparquet_part(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds string) STORED AS PARQUET;
+insert overwrite table alltypesparquet_part partition (ds='2011') select * from alltypesparquet order by ctinyint, cint, cbigint limit 100;
+insert overwrite table alltypesparquet_part partition (ds='2012') select * from alltypesparquet order by ctinyint, cint, cbigint limit 100;
+
+explain vectorization select (cdouble+2) c1 from alltypesparquet_part order by c1 limit 10;
+select (cdouble+2) c1 from alltypesparquet_part order by c1 limit 10;
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_part_varchar.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_part_varchar.q b/ql/src/test/queries/clientpositive/parquet_vectorization_part_varchar.q
new file mode 100644
index 0000000..b231b37
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_part_varchar.q
@@ -0,0 +1,10 @@
+set hive.mapred.mode=nonstrict;
+SET hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+CREATE TABLE alltypesparquet_part_varchar(ctinyint tinyint, csmallint smallint, cint int, cbigint bigint, cfloat float, cdouble double, cstring1 string, cstring2 string, ctimestamp1 timestamp, ctimestamp2 timestamp, cboolean1 boolean, cboolean2 boolean) partitioned by (ds varchar(4)) STORED AS PARQUET;
+insert overwrite table alltypesparquet_part_varchar partition (ds='2011') select * from alltypesparquet limit 100;
+insert overwrite table alltypesparquet_part_varchar partition (ds='2012') select * from alltypesparquet limit 100;
+
+select count(cdouble), cint from alltypesparquet_part_varchar where ds='2011' group by cint limit 10;
+select count(*) from alltypesparquet_part_varchar A join alltypesparquet_part_varchar B on A.ds=B.ds;
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/queries/clientpositive/parquet_vectorization_pushdown.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_vectorization_pushdown.q b/ql/src/test/queries/clientpositive/parquet_vectorization_pushdown.q
new file mode 100644
index 0000000..b83b556
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_vectorization_pushdown.q
@@ -0,0 +1,8 @@
+set hive.mapred.mode=nonstrict;
+set hive.explain.user=false;
+SET hive.vectorized.execution.enabled=true;
+SET hive.optimize.index.filter=true;
+set hive.fetch.task.conversion=none;
+
+explain vectorization SELECT AVG(cbigint) FROM alltypesparquet WHERE cbigint < cdouble;
+SELECT AVG(cbigint) FROM alltypesparquet WHERE cbigint < cdouble;
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/add_part_exist.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/add_part_exist.q.out b/ql/src/test/results/clientpositive/add_part_exist.q.out
index f8d50ca..7851664 100644
--- a/ql/src/test/results/clientpositive/add_part_exist.q.out
+++ b/ql/src/test/results/clientpositive/add_part_exist.q.out
@@ -85,6 +85,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/alter1.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/alter1.q.out b/ql/src/test/results/clientpositive/alter1.q.out
index c2efbe5..6c43860 100644
--- a/ql/src/test/results/clientpositive/alter1.q.out
+++ b/ql/src/test/results/clientpositive/alter1.q.out
@@ -192,6 +192,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/alter2.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/alter2.q.out b/ql/src/test/results/clientpositive/alter2.q.out
index 47ed6d6..53a4da0 100644
--- a/ql/src/test/results/clientpositive/alter2.q.out
+++ b/ql/src/test/results/clientpositive/alter2.q.out
@@ -211,6 +211,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/alter3.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/alter3.q.out b/ql/src/test/results/clientpositive/alter3.q.out
index ebae93f..7d2b74b 100644
--- a/ql/src/test/results/clientpositive/alter3.q.out
+++ b/ql/src/test/results/clientpositive/alter3.q.out
@@ -184,6 +184,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/alter4.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/alter4.q.out b/ql/src/test/results/clientpositive/alter4.q.out
index ddcb0ed..292b26d 100644
--- a/ql/src/test/results/clientpositive/alter4.q.out
+++ b/ql/src/test/results/clientpositive/alter4.q.out
@@ -49,6 +49,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/alter5.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/alter5.q.out b/ql/src/test/results/clientpositive/alter5.q.out
index 4c83dc0..a15f5f6 100644
--- a/ql/src/test/results/clientpositive/alter5.q.out
+++ b/ql/src/test/results/clientpositive/alter5.q.out
@@ -109,6 +109,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/alter_index.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/alter_index.q.out b/ql/src/test/results/clientpositive/alter_index.q.out
index bca4e12..262ad07 100644
--- a/ql/src/test/results/clientpositive/alter_index.q.out
+++ b/ql/src/test/results/clientpositive/alter_index.q.out
@@ -50,6 +50,7 @@ POSTHOOK: query: show tables
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/alter_rename_partition.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/alter_rename_partition.q.out b/ql/src/test/results/clientpositive/alter_rename_partition.q.out
index 5702d39..df39ecc 100644
--- a/ql/src/test/results/clientpositive/alter_rename_partition.q.out
+++ b/ql/src/test/results/clientpositive/alter_rename_partition.q.out
@@ -13,6 +13,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
@@ -140,6 +141,7 @@ POSTHOOK: query: SHOW TABLES
POSTHOOK: type: SHOWTABLES
POSTHOOK: Input: database:default
alltypesorc
+alltypesparquet
cbo_t1
cbo_t2
cbo_t3
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/authorization_9.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/authorization_9.q.out b/ql/src/test/results/clientpositive/authorization_9.q.out
index 39e0a56..17ca6ef 100644
--- a/ql/src/test/results/clientpositive/authorization_9.q.out
+++ b/ql/src/test/results/clientpositive/authorization_9.q.out
@@ -46,6 +46,10 @@ default alltypesorc hive_test_user USER DELETE true -1 hive_test_user
default alltypesorc hive_test_user USER INSERT true -1 hive_test_user
default alltypesorc hive_test_user USER SELECT true -1 hive_test_user
default alltypesorc hive_test_user USER UPDATE true -1 hive_test_user
+default alltypesparquet hive_test_user USER DELETE true -1 hive_test_user
+default alltypesparquet hive_test_user USER INSERT true -1 hive_test_user
+default alltypesparquet hive_test_user USER SELECT true -1 hive_test_user
+default alltypesparquet hive_test_user USER UPDATE true -1 hive_test_user
default cbo_t1 hive_test_user USER DELETE true -1 hive_test_user
default cbo_t1 hive_test_user USER INSERT true -1 hive_test_user
default cbo_t1 hive_test_user USER SELECT true -1 hive_test_user
@@ -138,6 +142,10 @@ default alltypesorc hive_test_user USER DELETE true -1 hive_test_user
default alltypesorc hive_test_user USER INSERT true -1 hive_test_user
default alltypesorc hive_test_user USER SELECT true -1 hive_test_user
default alltypesorc hive_test_user USER UPDATE true -1 hive_test_user
+default alltypesparquet hive_test_user USER DELETE true -1 hive_test_user
+default alltypesparquet hive_test_user USER INSERT true -1 hive_test_user
+default alltypesparquet hive_test_user USER SELECT true -1 hive_test_user
+default alltypesparquet hive_test_user USER UPDATE true -1 hive_test_user
default cbo_t1 hive_test_user USER DELETE true -1 hive_test_user
default cbo_t1 hive_test_user USER INSERT true -1 hive_test_user
default cbo_t1 hive_test_user USER SELECT true -1 hive_test_user
@@ -210,6 +218,10 @@ default alltypesorc hive_test_user USER DELETE true -1 hive_test_user
default alltypesorc hive_test_user USER INSERT true -1 hive_test_user
default alltypesorc hive_test_user USER SELECT true -1 hive_test_user
default alltypesorc hive_test_user USER UPDATE true -1 hive_test_user
+default alltypesparquet hive_test_user USER DELETE true -1 hive_test_user
+default alltypesparquet hive_test_user USER INSERT true -1 hive_test_user
+default alltypesparquet hive_test_user USER SELECT true -1 hive_test_user
+default alltypesparquet hive_test_user USER UPDATE true -1 hive_test_user
default cbo_t1 hive_test_user USER DELETE true -1 hive_test_user
default cbo_t1 hive_test_user USER INSERT true -1 hive_test_user
default cbo_t1 hive_test_user USER SELECT true -1 hive_test_user
[03/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_9.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_9.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_9.q.out
new file mode 100644
index 0000000..336aa65
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_9.q.out
@@ -0,0 +1,740 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 2)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterStringColLikeStringScalar(col 7:string, pattern %b%), FilterExprOrExpr(children: FilterDoubleColGreaterEqualDoubleScalar(col 5:double, val -1.389), FilterStringGroupColLessStringScalar(col 6:string, val a)))
+ predicate: (((cdouble >= -1.389) or (cstring1 < 'a')) and (cstring2 like '%b%')) (type: boolean)
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cdouble (type: double), cstring1 (type: string), ctimestamp1 (type: timestamp)
+ outputColumnNames: cdouble, cstring1, ctimestamp1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [5, 6, 8]
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(cdouble), stddev_samp(cdouble), min(cdouble)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 5:double) -> bigint, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFMinDouble(col 5:double) -> double
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:double, col 6:string, col 8:timestamp
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2]
+ keys: cdouble (type: double), cstring1 (type: string), ctimestamp1 (type: timestamp)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double), _col1 (type: string), _col2 (type: timestamp)
+ sort order: +++
+ Map-reduce partition columns: _col0 (type: double), _col1 (type: string), _col2 (type: timestamp)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ keyColumnNums: [0, 1, 2]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [3, 4, 5]
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col3 (type: bigint), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [5, 6, 7, 8]
+ 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: []
+ 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
+ reduceColumnNullOrder: aaa
+ reduceColumnSortOrder: +++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 6
+ dataColumns: KEY._col0:double, KEY._col1:string, KEY._col2:timestamp, VALUE._col0:bigint, VALUE._col1:struct<count:bigint,sum:double,variance:double>, VALUE._col2:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0), stddev_samp(VALUE._col1), min(VALUE._col2)
+ Group By Vectorization:
+ aggregators: VectorUDAFCountMerge(col 3:bigint) -> bigint, VectorUDAFVarFinal(col 4:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_samp, VectorUDAFMinDouble(col 5:double) -> double
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:double, col 1:string, col 2:timestamp
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0, 1, 2]
+ keys: KEY._col0 (type: double), KEY._col1 (type: string), KEY._col2 (type: timestamp)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 2048 Data size: 24576 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: string), _col0 (type: double), _col2 (type: timestamp), (_col0 - 9763215.5639) (type: double), (- (_col0 - 9763215.5639)) (type: double), _col3 (type: bigint), _col4 (type: double), (- _col4) (type: double), (_col4 * UDFToDouble(_col3)) (type: double), _col5 (type: double), (9763215.5639 / _col0) (type: double), (CAST( _col3 AS decimal(19,0)) / -1.389) (type: decimal(28,6)), _col4 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0, 2, 6, 8, 3, 4, 7, 10, 5, 9, 12, 4]
+ selectExpressions: DoubleColSubtractDoubleScalar(col 0:double, val 9763215.5639) -> 6:double, DoubleColUnaryMinus(col 7:double)(children: DoubleColSubtractDoubleScalar(col 0:double, val 9763215.5639) -> 7:double) -> 8:double, DoubleColUnaryMinus(col 4:double) -> 7:double, DoubleColMultiplyDoubleColumn(col 4:double, col 9:double)(children: CastLongToDouble(col 3:bigint) -> 9:double) -> 10:double, DoubleScalarDivideDoubleColumn(val 9763215.5639, col 0:double) -> 9:double, DecimalColDivideDecimalScalar(col 11:decimal(19,0), val -1.389)(children: CastLongToDecimal(col 3:bigint) -> 11:decimal(19,0)) -> 12:decimal(28,6)
+ Statistics: Num rows: 2048 Data size: 24576 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 2048 Data size: 24576 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cstring1,
+ cdouble,
+ ctimestamp1,
+ (cdouble - 9763215.5639),
+ (-((cdouble - 9763215.5639))),
+ COUNT(cdouble),
+ STDDEV_SAMP(cdouble),
+ (-(STDDEV_SAMP(cdouble))),
+ (STDDEV_SAMP(cdouble) * COUNT(cdouble)),
+ MIN(cdouble),
+ (9763215.5639 / cdouble),
+ (COUNT(cdouble) / -1.389),
+ STDDEV_SAMP(cdouble)
+FROM alltypesparquet
+WHERE ((cstring2 LIKE '%b%')
+ AND ((cdouble >= -1.389)
+ OR (cstring1 < 'a')))
+GROUP BY cstring1, cdouble, ctimestamp1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
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+NULL 15601.0 1969-12-31 15:59:51.596 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:51.637 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.076 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.311 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.326 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.357 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:52.587 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.038 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.583 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.584 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:53.635 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.024 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.116 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.334 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.342 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.454 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.583 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:54.994 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.411 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.847 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.989 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:55.998 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.068 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.338 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.806 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.858 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.913 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:56.97 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.215 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.261 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.28 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.386 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.524 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.678 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.729 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:57.932 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.134 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.279 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.343 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 15:59:58.752 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.025 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.054 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.108 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.122 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.123 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.182 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.206 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.326 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.396 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.476 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.523 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.545 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.547 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.648 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.699 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.708 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.741 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.88 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.931 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:00.953 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.057 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.153 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:01.714 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.12 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.215 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.285 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.6 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.742 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.894 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.92 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:02.925 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.174 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.273 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.351 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.366 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.512 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:03.722 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.063 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.149 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.254 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.259 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.52 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.687 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.745 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:04.964 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.027 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.132 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.327 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.334 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:05.617 -9747614.5639 9747614.5639 2 0.0 -0.0 0.0 15601.0 625.8070356964297 -1.439885 0.0
+NULL 15601.0 1969-12-31 16:00:05.83 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:06.051 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:06.692 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:07.844 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.176 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.252 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.368 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.607 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.868 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:08.948 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.357 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.473 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.582 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:09.697 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.045 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.132 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.173 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.259 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.649 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.738 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.898 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.957 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:10.983 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.205 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.498 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.848 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.853 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:12.948 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.029 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.183 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.503 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.801 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:13.955 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.452 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.565 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.733 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.747 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:14.903 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:15.39 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:15.805 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:16.076 -9747614.5639 9747614.5639 1 NULL NULL NULL 15601.0 625.8070356964297 -0.719942 NULL
+NULL 15601.0 1969-12-31 16:00:16.279 -9747614.5639 9747614.5639 2 0.0 -0.0 0.0 15601.0 625.8070356964297 -1.439885 0.0
+Nmt6E360X6dpX58CR2 NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+O2U2c43Dx4QtYQ3ynA1CLGI3 NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+O65HL NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+OLq35YO3U NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+OSBq0b NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+OSc0r NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+OgARV6n1iMYIW1VUm1ybG NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+Or43Y6lI NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+OxfCar17 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+P4shXtBlvn NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+PADsH06 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+PLFB86o84end3tdsS2hVL NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+PWAPwbw NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+Pcj70ddpJ0iD NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+PnD8l5 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+Q31pMN30tPv010W0U2h1s124 NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+Q72e8c NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+QOwp866GD0E0g3nwq NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+QRQRpg NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+QSdVNqav1efvKUht5o3N6 NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+QT8H3G133r01VKlM3P45iP NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+Qfy07 NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+Qgoscb7 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+R0mjxoFLf4 NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+R875Td3QD NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+R8B6PMUCp8Fuw NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+RG57safmo8UjXo4c1230u NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+RVa8teOcCN NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+RaVXc0k4i2X NULL 1969-12-31 16:00:02.351 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
+ReN3066RXtQ3 NULL 1969-12-31 16:00:15.892 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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+To6s02tm NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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+XyG3M688p4eP46 NULL 1969-12-31 16:00:08.451 NULL NULL 0 NULL NULL NULL NULL NULL 0.000000 NULL
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http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_decimal_date.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_decimal_date.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_decimal_date.q.out
new file mode 100644
index 0000000..2cbc466
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_decimal_date.q.out
@@ -0,0 +1,104 @@
+PREHOOK: query: CREATE TABLE date_decimal_test_parquet STORED AS PARQUET AS SELECT cint, cdouble, CAST (CAST (cint AS TIMESTAMP) AS DATE) AS cdate, CAST (((cdouble*22.1)/37) AS DECIMAL(20,10)) AS cdecimal FROM alltypesparquet
+PREHOOK: type: CREATETABLE_AS_SELECT
+PREHOOK: Input: default@alltypesparquet
+PREHOOK: Output: database:default
+PREHOOK: Output: default@date_decimal_test_parquet
+POSTHOOK: query: CREATE TABLE date_decimal_test_parquet STORED AS PARQUET AS SELECT cint, cdouble, CAST (CAST (cint AS TIMESTAMP) AS DATE) AS cdate, CAST (((cdouble*22.1)/37) AS DECIMAL(20,10)) AS cdecimal FROM alltypesparquet
+POSTHOOK: type: CREATETABLE_AS_SELECT
+POSTHOOK: Input: default@alltypesparquet
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@date_decimal_test_parquet
+POSTHOOK: Lineage: date_decimal_test_parquet.cdate EXPRESSION [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+POSTHOOK: Lineage: date_decimal_test_parquet.cdecimal EXPRESSION [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: date_decimal_test_parquet.cdouble SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cdouble, type:double, comment:null), ]
+POSTHOOK: Lineage: date_decimal_test_parquet.cint SIMPLE [(alltypesparquet)alltypesparquet.FieldSchema(name:cint, type:int, comment:null), ]
+PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION SELECT cdate, cdecimal from date_decimal_test_parquet where cint IS NOT NULL AND cdouble IS NOT NULL LIMIT 10
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION SELECT cdate, cdecimal from date_decimal_test_parquet where cint IS NOT NULL AND cdouble IS NOT NULL LIMIT 10
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: date_decimal_test_parquet
+ Statistics: Num rows: 12288 Data size: 49152 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:double))
+ predicate: (cdouble is not null and cint is not null) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cdate (type: date), cdecimal (type: decimal(20,10))
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [2, 3]
+ Statistics: Num rows: 12288 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 10
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 10 Data size: 40 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 10 Data size: 40 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 10
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cdate, cdecimal from date_decimal_test_parquet where cint IS NOT NULL AND cdouble IS NOT NULL LIMIT 10
+PREHOOK: type: QUERY
+PREHOOK: Input: default@date_decimal_test_parquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cdate, cdecimal from date_decimal_test_parquet where cint IS NOT NULL AND cdouble IS NOT NULL LIMIT 10
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@date_decimal_test_parquet
+#### A masked pattern was here ####
+1970-01-06 -7959.5837837838
+1970-01-06 -2516.4135135135
+1970-01-06 -9445.0621621622
+1970-01-06 -5713.7459459459
+1970-01-06 8963.6405405405
+1970-01-06 4193.6243243243
+1970-01-06 2964.3864864865
+1970-01-06 -4673.2540540541
+1970-01-06 -9216.8945945946
+1970-01-06 -9287.3756756757
[09/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_15.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_15.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_15.q.out
new file mode 100644
index 0000000..c8ac3f2
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_15.q.out
@@ -0,0 +1,299 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cfloat,
+ cboolean1,
+ cdouble,
+ cstring1,
+ ctinyint,
+ cint,
+ ctimestamp1,
+ STDDEV_SAMP(cfloat),
+ (-26.28 - cint),
+ MIN(cdouble),
+ (cdouble * 79.553),
+ (33 % cfloat),
+ STDDEV_SAMP(ctinyint),
+ VAR_POP(ctinyint),
+ (-23 % cdouble),
+ (-(ctinyint)),
+ VAR_SAMP(cint),
+ (cint - cfloat),
+ (-23 % ctinyint),
+ (-((-26.28 - cint))),
+ STDDEV_POP(cint)
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%ss%')
+ OR (cstring1 LIKE '10%'))
+ OR ((cint >= -75)
+ AND ((ctinyint = csmallint)
+ AND (cdouble >= -3728))))
+GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cfloat,
+ cboolean1,
+ cdouble,
+ cstring1,
+ ctinyint,
+ cint,
+ ctimestamp1,
+ STDDEV_SAMP(cfloat),
+ (-26.28 - cint),
+ MIN(cdouble),
+ (cdouble * 79.553),
+ (33 % cfloat),
+ STDDEV_SAMP(ctinyint),
+ VAR_POP(ctinyint),
+ (-23 % cdouble),
+ (-(ctinyint)),
+ VAR_SAMP(cint),
+ (cint - cfloat),
+ (-23 % ctinyint),
+ (-((-26.28 - cint))),
+ STDDEV_POP(cint)
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%ss%')
+ OR (cstring1 LIKE '10%'))
+ OR ((cint >= -75)
+ AND ((ctinyint = csmallint)
+ AND (cdouble >= -3728))))
+GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 2)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterStringColLikeStringScalar(col 7:string, pattern %ss%), FilterStringColLikeStringScalar(col 6:string, pattern 10%), FilterExprAndExpr(children: FilterLongColGreaterEqualLongScalar(col 2:int, val -75), FilterLongColEqualLongColumn(col 0:smallint, col 1:smallint)(children: col 0:tinyint), FilterDoubleColGreaterEqualDoubleScalar(col 5:double, val -3728.0)))
+ predicate: (((cint >= -75) and (UDFToShort(ctinyint) = csmallint) and (cdouble >= -3728.0)) or (cstring1 like '10%') or (cstring2 like '%ss%')) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cint (type: int), cfloat (type: float), cdouble (type: double), cstring1 (type: string), ctimestamp1 (type: timestamp), cboolean1 (type: boolean)
+ outputColumnNames: ctinyint, cint, cfloat, cdouble, cstring1, ctimestamp1, cboolean1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4, 5, 6, 8, 10]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: stddev_samp(cfloat), min(cdouble), stddev_samp(ctinyint), var_pop(ctinyint), var_samp(cint), stddev_pop(cint)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFMinDouble(col 5:double) -> double, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFVarLong(col 2:int) -> struct<count:bigint,sum:double,variance:double> aggregation: var_samp, VectorUDAFVarLong(col 2:int) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 4:float, col 10:boolean, col 5:double, col 6:string, col 0:tinyint, col 2:int, col 8:timestamp
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: cfloat (type: float), cboolean1 (type: boolean), cdouble (type: double), cstring1 (type: string), ctinyint (type: tinyint), cint (type: int), ctimestamp1 (type: timestamp)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp)
+ sort order: +++++++
+ Map-reduce partition columns: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ keyColumnNums: [0, 1, 2, 3, 4, 5, 6]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [7, 8, 9, 10, 11, 12]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col7 (type: struct<count:bigint,sum:double,variance:double>), _col8 (type: double), _col9 (type: struct<count:bigint,sum:double,variance:double>), _col10 (type: struct<count:bigint,sum:double,variance:double>), _col11 (type: struct<count:bigint,sum:double,variance:double>), _col12 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 4, 5, 6, 7, 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: []
+ Reducer 2
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.execution.engine spark IN [tez, spark] IS true
+ enableConditionsNotMet: hive.vectorized.execution.reduce.enabled IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: stddev_samp(VALUE._col0), min(VALUE._col1), stddev_samp(VALUE._col2), var_pop(VALUE._col3), var_samp(VALUE._col4), stddev_pop(VALUE._col5)
+ keys: KEY._col0 (type: float), KEY._col1 (type: boolean), KEY._col2 (type: double), KEY._col3 (type: string), KEY._col4 (type: tinyint), KEY._col5 (type: int), KEY._col6 (type: timestamp)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp), _col7 (type: double), (-26.28 - CAST( _col5 AS decimal(10,0))) (type: decimal(13,2)), _col8 (type: double), (_col2 * 79.553) (type: double), (33.0 % _col0) (type: float), _col9 (type: double), _col10 (type: double), (-23.0 % _col2) (type: double), (- _col4) (type: tinyint), _col11 (type: double), (UDFToFloat(_col5) - _col0) (type: float), (-23 % UDFToInteger(_col4)) (type: int), (- (-26.28 - CAST( _col5 AS decimal(10,0)))) (type: decimal(13,2)), _col12 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: float), _col1 (type: boolean), _col2 (type: double), _col3 (type: string), _col4 (type: tinyint), _col5 (type: int), _col6 (type: timestamp)
+ sort order: +++++++
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col7 (type: double), _col8 (type: decimal(13,2)), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: tinyint), _col16 (type: double), _col17 (type: float), _col18 (type: int), _col19 (type: decimal(13,2)), _col20 (type: double)
+ Reducer 3
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.execution.engine spark IN [tez, spark] IS true
+ enableConditionsNotMet: hive.vectorized.execution.reduce.enabled IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: float), KEY.reducesinkkey1 (type: boolean), KEY.reducesinkkey2 (type: double), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: tinyint), KEY.reducesinkkey5 (type: int), KEY.reducesinkkey6 (type: timestamp), VALUE._col0 (type: double), VALUE._col1 (type: decimal(13,2)), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: float), VALUE._col5 (type: double), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: tinyint), VALUE._col9 (type: double), VALUE._col10 (type: float), VALUE._col11 (type: int), VALUE._col12 (type: decimal(13,2)), VALUE._col13 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 6144 Data size: 73728 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cfloat,
+ cboolean1,
+ cdouble,
+ cstring1,
+ ctinyint,
+ cint,
+ ctimestamp1,
+ STDDEV_SAMP(cfloat),
+ (-26.28 - cint),
+ MIN(cdouble),
+ (cdouble * 79.553),
+ (33 % cfloat),
+ STDDEV_SAMP(ctinyint),
+ VAR_POP(ctinyint),
+ (-23 % cdouble),
+ (-(ctinyint)),
+ VAR_SAMP(cint),
+ (cint - cfloat),
+ (-23 % ctinyint),
+ (-((-26.28 - cint))),
+ STDDEV_POP(cint)
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%ss%')
+ OR (cstring1 LIKE '10%'))
+ OR ((cint >= -75)
+ AND ((ctinyint = csmallint)
+ AND (cdouble >= -3728))))
+GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cfloat,
+ cboolean1,
+ cdouble,
+ cstring1,
+ ctinyint,
+ cint,
+ ctimestamp1,
+ STDDEV_SAMP(cfloat),
+ (-26.28 - cint),
+ MIN(cdouble),
+ (cdouble * 79.553),
+ (33 % cfloat),
+ STDDEV_SAMP(ctinyint),
+ VAR_POP(ctinyint),
+ (-23 % cdouble),
+ (-(ctinyint)),
+ VAR_SAMP(cint),
+ (cint - cfloat),
+ (-23 % ctinyint),
+ (-((-26.28 - cint))),
+ STDDEV_POP(cint)
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%ss%')
+ OR (cstring1 LIKE '10%'))
+ OR ((cint >= -75)
+ AND ((ctinyint = csmallint)
+ AND (cdouble >= -3728))))
+GROUP BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+ORDER BY cfloat, cboolean1, cdouble, cstring1, ctinyint, cint, ctimestamp1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-48.0 NULL -7196.0 NULL -48 NULL 1969-12-31 16:00:06.337 NULL NULL -7196.0 -572463.388 33.0 NULL 0.0 -23.0 48 NULL NULL -23 NULL NULL
+-51.0 NULL -200.0 NULL -51 NULL 1969-12-31 15:59:55.423 NULL NULL -200.0 -15910.599999999999 33.0 NULL 0.0 -23.0 51 NULL NULL -23 NULL NULL
+-51.0 false NULL 10 -51 1058319346 1969-12-31 16:00:08.451 NULL -1058319372.28 NULL NULL 33.0 NULL 0.0 NULL 51 NULL 1.05831942E9 -23 1058319372.28 0.0
+-51.0 false NULL 10TYIE5S35U6dj3N -51 -469581869 1969-12-31 16:00:08.451 NULL 469581842.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -4.69581792E8 -23 -469581842.72 0.0
+-51.0 false NULL 1Lh6Uoq3WhNtOqQHu7WN7U -51 -352637533 1969-12-31 16:00:08.451 NULL 352637506.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -3.52637472E8 -23 -352637506.72 0.0
+-51.0 true NULL 04Y1mA17 -51 -114647521 1969-12-31 16:00:08.451 NULL 114647494.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -1.14647472E8 -23 -114647494.72 0.0
+-51.0 true NULL 10Wu570aLPO0p02P17FeH -51 405338893 1969-12-31 16:00:08.451 NULL -405338919.28 NULL NULL 33.0 NULL 0.0 NULL 51 NULL 4.05338944E8 -23 405338919.28 0.0
+-51.0 true NULL 3cQp060 -51 -226923315 1969-12-31 16:00:08.451 NULL 226923288.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -2.26923264E8 -23 -226923288.72 0.0
+-51.0 true NULL 8EPG0Xi307qd -51 -328662044 1969-12-31 16:00:08.451 NULL 328662017.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -3.28661984E8 -23 -328662017.72 0.0
+-51.0 true NULL 8iHtdkJ6d -51 1006818344 1969-12-31 16:00:08.451 NULL -1006818370.28 NULL NULL 33.0 NULL 0.0 NULL 51 NULL 1.00681843E9 -23 1006818370.28 0.0
+-51.0 true NULL QiOcvR0kt6r7f0R7fiPxQTCU -51 266531954 1969-12-31 16:00:08.451 NULL -266531980.28 NULL NULL 33.0 NULL 0.0 NULL 51 NULL 2.66532E8 -23 266531980.28 0.0
+-51.0 true NULL Ybpj38RTTYl7CnJXPNx1g4C -51 -370919370 1969-12-31 16:00:08.451 NULL 370919343.72 NULL NULL 33.0 NULL 0.0 NULL 51 NULL -3.70919296E8 -23 -370919343.72 0.0
+-6.0 NULL -200.0 NULL -6 NULL 1969-12-31 15:59:56.094 NULL NULL -200.0 -15910.599999999999 3.0 NULL 0.0 -23.0 6 NULL NULL -5 NULL NULL
+-62.0 NULL 15601.0 NULL -62 NULL 1969-12-31 15:59:56.527 NULL NULL 15601.0 1241106.353 33.0 NULL 0.0 -23.0 62 NULL NULL -23 NULL NULL
+11.0 false NULL 10pO8p1LNx4Y 11 271296824 1969-12-31 16:00:02.351 NULL -271296850.28 NULL NULL 0.0 NULL 0.0 NULL -11 NULL 2.71296832E8 -1 271296850.28 0.0
+11.0 false NULL 1H6wGP 11 -560827082 1969-12-31 16:00:02.351 NULL 560827055.72 NULL NULL 0.0 NULL 0.0 NULL -11 NULL -5.6082707E8 -1 -560827055.72 0.0
+11.0 false NULL 2a7V63IL7jK3o 11 -325931647 1969-12-31 16:00:02.351 NULL 325931620.72 NULL NULL 0.0 NULL 0.0 NULL -11 NULL -3.25931648E8 -1 -325931620.72 0.0
+11.0 true NULL 10 11 92365813 1969-12-31 16:00:02.351 NULL -92365839.28 NULL NULL 0.0 NULL 0.0 NULL -11 NULL 9.2365808E7 -1 92365839.28 0.0
+21.0 NULL 15601.0 NULL 21 NULL 1969-12-31 15:59:56.527 NULL NULL 15601.0 1241106.353 12.0 NULL 0.0 -23.0 -21 NULL NULL -2 NULL NULL
+32.0 NULL -200.0 NULL 32 NULL 1969-12-31 16:00:02.445 NULL NULL -200.0 -15910.599999999999 1.0 NULL 0.0 -23.0 -32 NULL NULL -23 NULL NULL
+36.0 NULL -200.0 NULL 36 NULL 1969-12-31 16:00:00.554 NULL NULL -200.0 -15910.599999999999 33.0 NULL 0.0 -23.0 -36 NULL NULL -23 NULL NULL
+5.0 NULL 15601.0 NULL 5 NULL 1969-12-31 15:59:56.527 NULL NULL 15601.0 1241106.353 3.0 NULL 0.0 -23.0 -5 NULL NULL -3 NULL NULL
+58.0 NULL 15601.0 NULL 58 NULL 1969-12-31 15:59:56.527 NULL NULL 15601.0 1241106.353 33.0 NULL 0.0 -23.0 -58 NULL NULL -23 NULL NULL
+8.0 false NULL 10V3pN5r5lI2qWl2lG103 8 -362835731 1969-12-31 16:00:15.892 NULL 362835704.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -3.62835744E8 -7 -362835704.72 0.0
+8.0 false NULL 10c4qt584m5y6uWT 8 -183000142 1969-12-31 16:00:15.892 NULL 183000115.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -1.8300016E8 -7 -183000115.72 0.0
+8.0 false NULL 8GloEukQ0c68JDmnYL53 8 -722873402 1969-12-31 16:00:15.892 NULL 722873375.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -7.2287341E8 -7 -722873375.72 0.0
+8.0 false NULL kA0XH5C5 8 -503903864 1969-12-31 16:00:15.892 NULL 503903837.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -5.03903872E8 -7 -503903837.72 0.0
+8.0 true NULL 100VTM7PEW8GH1uE 8 88129338 1969-12-31 16:00:15.892 NULL -88129364.28 NULL NULL 1.0 NULL 0.0 NULL -8 NULL 8.8129328E7 -7 88129364.28 0.0
+8.0 true NULL 1062158y 8 -1005155523 1969-12-31 16:00:15.892 NULL 1005155496.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -1.00515552E9 -7 -1005155496.72 0.0
+8.0 true NULL 1063cEnGjSal 8 -624769630 1969-12-31 16:00:15.892 NULL 624769603.72 NULL NULL 1.0 NULL 0.0 NULL -8 NULL -6.247696E8 -7 -624769603.72 0.0
+8.0 true NULL 4kMasVoB7lX1wc5i64bNk 8 683567667 1969-12-31 16:00:15.892 NULL -683567693.28 NULL NULL 1.0 NULL 0.0 NULL -8 NULL 6.8356768E8 -7 683567693.28 0.0
+8.0 true NULL XH6I7A417 8 436627202 1969-12-31 16:00:15.892 NULL -436627228.28 NULL NULL 1.0 NULL 0.0 NULL -8 NULL 4.366272E8 -7 436627228.28 0.0
+NULL false -13008.0 10 NULL -896629175 NULL NULL 896629148.72 -13008.0 -1034825.424 NULL NULL NULL -23.0 NULL NULL NULL NULL -896629148.72 0.0
+NULL false -7707.0 10vke853 NULL 424959354 NULL NULL -424959380.28 -7707.0 -613114.971 NULL NULL NULL -23.0 NULL NULL NULL NULL 424959380.28 0.0
+NULL false 14771.0 10 NULL 993788576 NULL NULL -993788602.28 14771.0 1175077.363 NULL NULL NULL -23.0 NULL NULL NULL NULL 993788602.28 0.0
+NULL false 2459.0 10 NULL -394064473 NULL NULL 394064446.72 2459.0 195620.827 NULL NULL NULL -23.0 NULL NULL NULL NULL -394064446.72 0.0
+NULL true -14640.0 101n6n461o NULL -819657767 NULL NULL 819657740.72 -14640.0 -1164655.92 NULL NULL NULL -23.0 NULL NULL NULL NULL -819657740.72 0.0
+NULL true -14674.0 105aFDAt30c4rI4U NULL -831072496 NULL NULL 831072469.72 -14674.0 -1167360.722 NULL NULL NULL -23.0 NULL NULL NULL NULL -831072469.72 0.0
+NULL true -7238.0 10ljXCFT6fG6Qi3S7414e NULL -256767096 NULL NULL 256767069.72 -7238.0 -575804.614 NULL NULL NULL -23.0 NULL NULL NULL NULL -256767069.72 0.0
+NULL true -9489.0 10Yr6 NULL 500274721 NULL NULL -500274747.28 -9489.0 -754878.417 NULL NULL NULL -23.0 NULL NULL NULL NULL 500274747.28 0.0
+NULL true 10419.0 10 NULL -721614386 NULL NULL 721614359.72 10419.0 828862.7069999999 NULL NULL NULL -23.0 NULL NULL NULL NULL -721614359.72 0.0
+NULL true 14519.0 100xJdkyc NULL 729277608 NULL NULL -729277634.28 14519.0 1155030.007 NULL NULL NULL -23.0 NULL NULL NULL NULL 729277634.28 0.0
+NULL true 2261.0 10Hr5oB07Ohu0622u NULL 612000160 NULL NULL -612000186.28 2261.0 179869.33299999998 NULL NULL NULL -23.0 NULL NULL NULL NULL 612000186.28 0.0
+NULL true 4516.0 10lL0XD6WP2x64f70N0fHmC1 NULL -974538365 NULL NULL 974538338.72 4516.0 359261.348 NULL NULL NULL -23.0 NULL NULL NULL NULL -974538338.72 0.0
+NULL true 4767.0 10dUdwyXp5XwgpkTxLffmv3x NULL 187503456 NULL NULL -187503482.28 4767.0 379229.151 NULL NULL NULL -23.0 NULL NULL NULL NULL 187503482.28 0.0
+NULL true 5658.0 10M3eGUsKVonbl70DyoCk25 NULL 486382507 NULL NULL -486382533.28 5658.0 450110.874 NULL NULL NULL -23.0 NULL NULL NULL NULL 486382533.28 0.0
+NULL true 8659.0 1047piRsT3c3r134I NULL 487236176 NULL NULL -487236202.28 8659.0 688849.427 NULL NULL NULL -23.0 NULL NULL NULL NULL 487236202.28 0.0
[32/32] hive git commit: HIVE-18043: Vectorization: Support List type
in MapWork (Colin Ma, reviewed by Ferdinand Xu)
Posted by xu...@apache.org.
HIVE-18043: Vectorization: Support List type in MapWork (Colin Ma, reviewed by Ferdinand Xu)
Project: http://git-wip-us.apache.org/repos/asf/hive/repo
Commit: http://git-wip-us.apache.org/repos/asf/hive/commit/b8aa16ff
Tree: http://git-wip-us.apache.org/repos/asf/hive/tree/b8aa16ff
Diff: http://git-wip-us.apache.org/repos/asf/hive/diff/b8aa16ff
Branch: refs/heads/master
Commit: b8aa16ff6c2ec0185cd953a7854d6abda2306df7
Parents: 4ccea29
Author: Ferdinand Xu <ch...@intel.com>
Authored: Thu Nov 30 10:36:08 2017 +0800
Committer: Ferdinand Xu <ch...@intel.com>
Committed: Thu Nov 30 10:36:08 2017 +0800
----------------------------------------------------------------------
data/files/parquet_complex_types.txt | 1025 ++++++++++++++++++
.../test/resources/testconfiguration.properties | 1 +
.../exec/vector/VectorExpressionDescriptor.java | 5 +-
.../ql/exec/vector/VectorizationContext.java | 5 +
.../vector/expressions/ListIndexColColumn.java | 122 +++
.../vector/expressions/ListIndexColScalar.java | 104 ++
.../VectorExpressionWriterFactory.java | 24 +-
.../hive/ql/udf/generic/GenericUDFIndex.java | 4 +
.../parquet_complex_types_vectorization.q | 65 ++
.../clientpositive/vector_complex_join.q | 11 +-
.../parquet_complex_types_vectorization.q.out | 926 ++++++++++++++++
.../llap/vector_complex_join.q.out | 186 +++-
.../parquet_complex_types_vectorization.q.out | 878 +++++++++++++++
.../clientpositive/vector_complex_join.q.out | 164 ++-
14 files changed, 3480 insertions(+), 40 deletions(-)
----------------------------------------------------------------------
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/data/files/parquet_complex_types.txt
----------------------------------------------------------------------
diff --git a/data/files/parquet_complex_types.txt b/data/files/parquet_complex_types.txt
new file mode 100644
index 0000000..077c913
--- /dev/null
+++ b/data/files/parquet_complex_types.txt
@@ -0,0 +1,1025 @@
+1|k1:v1,k2:v2|100,101|1,abc1|0
+2|k3:v3,k4:v4|102,103|2,abc2|1
+3|k5:v5,k6:v6|104,105|3,abc3|0
+4|k7:v7,k8:v8|106,107|4,abc4|1
+5|k9:v9,k10:v10|108,109|5,abc5|0
+6|k11:v11,k12:v12|110,111|6,abc6|1
+7|k13:v13,k14:v14|112,113|7,abc7|0
+8|k15:v15,k16:v16|114,115|8,abc8|1
+9|k17:v17,k18:v18|116,117|9,abc9|0
+10|k19:v19,k20:v20|118,119|10,abc10|1
+11|k21:v21,k22:v22|120,121|11,abc11|0
+12|k23:v23,k24:v24|122,123|12,abc12|1
+13|k25:v25,k26:v26|124,125|13,abc13|0
+14|k27:v27,k28:v28|126,127|14,abc14|1
+15|k29:v29,k30:v30|128,129|15,abc15|0
+16|k31:v31,k32:v32|130,131|16,abc16|1
+17|k33:v33,k34:v34|132,133|17,abc17|0
+18|k35:v35,k36:v36|134,135|18,abc18|1
+19|k37:v37,k38:v38|136,137|19,abc19|0
+20|k39:v39,k40:v40|138,139|20,abc20|1
+21|k41:v41,k42:v42|140,141|21,abc21|0
+22|k43:v43,k44:v44|142,143|22,abc22|1
+23|k45:v45,k46:v46|144,145|23,abc23|0
+24|k47:v47,k48:v48|146,147|24,abc24|1
+25|k49:v49,k50:v50|148,149|25,abc25|0
+26|k51:v51,k52:v52|150,151|26,abc26|1
+27|k53:v53,k54:v54|152,153|27,abc27|0
+28|k55:v55,k56:v56|154,155|28,abc28|1
+29|k57:v57,k58:v58|156,157|29,abc29|0
+30|k59:v59,k60:v60|158,159|30,abc30|1
+31|k61:v61,k62:v62|160,161|31,abc31|0
+32|k63:v63,k64:v64|162,163|32,abc32|1
+33|k65:v65,k66:v66|164,165|33,abc33|0
+34|k67:v67,k68:v68|166,167|34,abc34|1
+35|k69:v69,k70:v70|168,169|35,abc35|0
+36|k71:v71,k72:v72|170,171|36,abc36|1
+37|k73:v73,k74:v74|172,173|37,abc37|0
+38|k75:v75,k76:v76|174,175|38,abc38|1
+39|k77:v77,k78:v78|176,177|39,abc39|0
+40|k79:v79,k80:v80|178,179|40,abc40|1
+41|k81:v81,k82:v82|180,181|41,abc41|0
+42|k83:v83,k84:v84|182,183|42,abc42|1
+43|k85:v85,k86:v86|184,185|43,abc43|0
+44|k87:v87,k88:v88|186,187|44,abc44|1
+45|k89:v89,k90:v90|188,189|45,abc45|0
+46|k91:v91,k92:v92|190,191|46,abc46|1
+47|k93:v93,k94:v94|192,193|47,abc47|0
+48|k95:v95,k96:v96|194,195|48,abc48|1
+49|k97:v97,k98:v98|196,197|49,abc49|0
+50|k99:v99,k100:v100|198,199|50,abc50|1
+51|k101:v101,k102:v102|200,201|51,abc51|0
+52|k103:v103,k104:v104|202,203|52,abc52|1
+53|k105:v105,k106:v106|204,205|53,abc53|0
+54|k107:v107,k108:v108|206,207|54,abc54|1
+55|k109:v109,k110:v110|208,209|55,abc55|0
+56|k111:v111,k112:v112|210,211|56,abc56|1
+57|k113:v113,k114:v114|212,213|57,abc57|0
+58|k115:v115,k116:v116|214,215|58,abc58|1
+59|k117:v117,k118:v118|216,217|59,abc59|0
+60|k119:v119,k120:v120|218,219|60,abc60|1
+61|k121:v121,k122:v122|220,221|61,abc61|0
+62|k123:v123,k124:v124|222,223|62,abc62|1
+63|k125:v125,k126:v126|224,225|63,abc63|0
+64|k127:v127,k128:v128|226,227|64,abc64|1
+65|k129:v129,k130:v130|228,229|65,abc65|0
+66|k131:v131,k132:v132|230,231|66,abc66|1
+67|k133:v133,k134:v134|232,233|67,abc67|0
+68|k135:v135,k136:v136|234,235|68,abc68|1
+69|k137:v137,k138:v138|236,237|69,abc69|0
+70|k139:v139,k140:v140|238,239|70,abc70|1
+71|k141:v141,k142:v142|240,241|71,abc71|0
+72|k143:v143,k144:v144|242,243|72,abc72|1
+73|k145:v145,k146:v146|244,245|73,abc73|0
+74|k147:v147,k148:v148|246,247|74,abc74|1
+75|k149:v149,k150:v150|248,249|75,abc75|0
+76|k151:v151,k152:v152|250,251|76,abc76|1
+77|k153:v153,k154:v154|252,253|77,abc77|0
+78|k155:v155,k156:v156|254,255|78,abc78|1
+79|k157:v157,k158:v158|256,257|79,abc79|0
+80|k159:v159,k160:v160|258,259|80,abc80|1
+81|k161:v161,k162:v162|260,261|81,abc81|0
+82|k163:v163,k164:v164|262,263|82,abc82|1
+83|k165:v165,k166:v166|264,265|83,abc83|0
+84|k167:v167,k168:v168|266,267|84,abc84|1
+85|k169:v169,k170:v170|268,269|85,abc85|0
+86|k171:v171,k172:v172|270,271|86,abc86|1
+87|k173:v173,k174:v174|272,273|87,abc87|0
+88|k175:v175,k176:v176|274,275|88,abc88|1
+89|k177:v177,k178:v178|276,277|89,abc89|0
+90|k179:v179,k180:v180|278,279|90,abc90|1
+91|k181:v181,k182:v182|280,281|91,abc91|0
+92|k183:v183,k184:v184|282,283|92,abc92|1
+93|k185:v185,k186:v186|284,285|93,abc93|0
+94|k187:v187,k188:v188|286,287|94,abc94|1
+95|k189:v189,k190:v190|288,289|95,abc95|0
+96|k191:v191,k192:v192|290,291|96,abc96|1
+97|k193:v193,k194:v194|292,293|97,abc97|0
+98|k195:v195,k196:v196|294,295|98,abc98|1
+99|k197:v197,k198:v198|296,297|99,abc99|0
+100|k199:v199,k200:v200|298,299|100,abc100|1
+101|k201:v201,k202:v202|300,301|101,abc101|0
+102|k203:v203,k204:v204|302,303|102,abc102|1
+103|k205:v205,k206:v206|304,305|103,abc103|0
+104|k207:v207,k208:v208|306,307|104,abc104|1
+105|k209:v209,k210:v210|308,309|105,abc105|0
+106|k211:v211,k212:v212|310,311|106,abc106|1
+107|k213:v213,k214:v214|312,313|107,abc107|0
+108|k215:v215,k216:v216|314,315|108,abc108|1
+109|k217:v217,k218:v218|316,317|109,abc109|0
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+902|k1803:v1803,k1804:v1804|1902,1903|902,abc902|1
+903|k1805:v1805,k1806:v1806|1904,1905|903,abc903|0
+904|k1807:v1807,k1808:v1808|1906,1907|904,abc904|1
+905|k1809:v1809,k1810:v1810|1908,1909|905,abc905|0
+906|k1811:v1811,k1812:v1812|1910,1911|906,abc906|1
+907|k1813:v1813,k1814:v1814|1912,1913|907,abc907|0
+908|k1815:v1815,k1816:v1816|1914,1915|908,abc908|1
+909|k1817:v1817,k1818:v1818|1916,1917|909,abc909|0
+910|k1819:v1819,k1820:v1820|1918,1919|910,abc910|1
+911|k1821:v1821,k1822:v1822|1920,1921|911,abc911|0
+912|k1823:v1823,k1824:v1824|1922,1923|912,abc912|1
+913|k1825:v1825,k1826:v1826|1924,1925|913,abc913|0
+914|k1827:v1827,k1828:v1828|1926,1927|914,abc914|1
+915|k1829:v1829,k1830:v1830|1928,1929|915,abc915|0
+916|k1831:v1831,k1832:v1832|1930,1931|916,abc916|1
+917|k1833:v1833,k1834:v1834|1932,1933|917,abc917|0
+918|k1835:v1835,k1836:v1836|1934,1935|918,abc918|1
+919|k1837:v1837,k1838:v1838|1936,1937|919,abc919|0
+920|k1839:v1839,k1840:v1840|1938,1939|920,abc920|1
+921|k1841:v1841,k1842:v1842|1940,1941|921,abc921|0
+922|k1843:v1843,k1844:v1844|1942,1943|922,abc922|1
+923|k1845:v1845,k1846:v1846|1944,1945|923,abc923|0
+924|k1847:v1847,k1848:v1848|1946,1947|924,abc924|1
+925|k1849:v1849,k1850:v1850|1948,1949|925,abc925|0
+926|k1851:v1851,k1852:v1852|1950,1951|926,abc926|1
+927|k1853:v1853,k1854:v1854|1952,1953|927,abc927|0
+928|k1855:v1855,k1856:v1856|1954,1955|928,abc928|1
+929|k1857:v1857,k1858:v1858|1956,1957|929,abc929|0
+930|k1859:v1859,k1860:v1860|1958,1959|930,abc930|1
+931|k1861:v1861,k1862:v1862|1960,1961|931,abc931|0
+932|k1863:v1863,k1864:v1864|1962,1963|932,abc932|1
+933|k1865:v1865,k1866:v1866|1964,1965|933,abc933|0
+934|k1867:v1867,k1868:v1868|1966,1967|934,abc934|1
+935|k1869:v1869,k1870:v1870|1968,1969|935,abc935|0
+936|k1871:v1871,k1872:v1872|1970,1971|936,abc936|1
+937|k1873:v1873,k1874:v1874|1972,1973|937,abc937|0
+938|k1875:v1875,k1876:v1876|1974,1975|938,abc938|1
+939|k1877:v1877,k1878:v1878|1976,1977|939,abc939|0
+940|k1879:v1879,k1880:v1880|1978,1979|940,abc940|1
+941|k1881:v1881,k1882:v1882|1980,1981|941,abc941|0
+942|k1883:v1883,k1884:v1884|1982,1983|942,abc942|1
+943|k1885:v1885,k1886:v1886|1984,1985|943,abc943|0
+944|k1887:v1887,k1888:v1888|1986,1987|944,abc944|1
+945|k1889:v1889,k1890:v1890|1988,1989|945,abc945|0
+946|k1891:v1891,k1892:v1892|1990,1991|946,abc946|1
+947|k1893:v1893,k1894:v1894|1992,1993|947,abc947|0
+948|k1895:v1895,k1896:v1896|1994,1995|948,abc948|1
+949|k1897:v1897,k1898:v1898|1996,1997|949,abc949|0
+950|k1899:v1899,k1900:v1900|1998,1999|950,abc950|1
+951|k1901:v1901,k1902:v1902|2000,2001|951,abc951|0
+952|k1903:v1903,k1904:v1904|2002,2003|952,abc952|1
+953|k1905:v1905,k1906:v1906|2004,2005|953,abc953|0
+954|k1907:v1907,k1908:v1908|2006,2007|954,abc954|1
+955|k1909:v1909,k1910:v1910|2008,2009|955,abc955|0
+956|k1911:v1911,k1912:v1912|2010,2011|956,abc956|1
+957|k1913:v1913,k1914:v1914|2012,2013|957,abc957|0
+958|k1915:v1915,k1916:v1916|2014,2015|958,abc958|1
+959|k1917:v1917,k1918:v1918|2016,2017|959,abc959|0
+960|k1919:v1919,k1920:v1920|2018,2019|960,abc960|1
+961|k1921:v1921,k1922:v1922|2020,2021|961,abc961|0
+962|k1923:v1923,k1924:v1924|2022,2023|962,abc962|1
+963|k1925:v1925,k1926:v1926|2024,2025|963,abc963|0
+964|k1927:v1927,k1928:v1928|2026,2027|964,abc964|1
+965|k1929:v1929,k1930:v1930|2028,2029|965,abc965|0
+966|k1931:v1931,k1932:v1932|2030,2031|966,abc966|1
+967|k1933:v1933,k1934:v1934|2032,2033|967,abc967|0
+968|k1935:v1935,k1936:v1936|2034,2035|968,abc968|1
+969|k1937:v1937,k1938:v1938|2036,2037|969,abc969|0
+970|k1939:v1939,k1940:v1940|2038,2039|970,abc970|1
+971|k1941:v1941,k1942:v1942|2040,2041|971,abc971|0
+972|k1943:v1943,k1944:v1944|2042,2043|972,abc972|1
+973|k1945:v1945,k1946:v1946|2044,2045|973,abc973|0
+974|k1947:v1947,k1948:v1948|2046,2047|974,abc974|1
+975|k1949:v1949,k1950:v1950|2048,2049|975,abc975|0
+976|k1951:v1951,k1952:v1952|2050,2051|976,abc976|1
+977|k1953:v1953,k1954:v1954|2052,2053|977,abc977|0
+978|k1955:v1955,k1956:v1956|2054,2055|978,abc978|1
+979|k1957:v1957,k1958:v1958|2056,2057|979,abc979|0
+980|k1959:v1959,k1960:v1960|2058,2059|980,abc980|1
+981|k1961:v1961,k1962:v1962|2060,2061|981,abc981|0
+982|k1963:v1963,k1964:v1964|2062,2063|982,abc982|1
+983|k1965:v1965,k1966:v1966|2064,2065|983,abc983|0
+984|k1967:v1967,k1968:v1968|2066,2067|984,abc984|1
+985|k1969:v1969,k1970:v1970|2068,2069|985,abc985|0
+986|k1971:v1971,k1972:v1972|2070,2071|986,abc986|1
+987|k1973:v1973,k1974:v1974|2072,2073|987,abc987|0
+988|k1975:v1975,k1976:v1976|2074,2075|988,abc988|1
+989|k1977:v1977,k1978:v1978|2076,2077|989,abc989|0
+990|k1979:v1979,k1980:v1980|2078,2079|990,abc990|1
+991|k1981:v1981,k1982:v1982|2080,2081|991,abc991|0
+992|k1983:v1983,k1984:v1984|2082,2083|992,abc992|1
+993|k1985:v1985,k1986:v1986|2084,2085|993,abc993|0
+994|k1987:v1987,k1988:v1988|2086,2087|994,abc994|1
+995|k1989:v1989,k1990:v1990|2088,2089|995,abc995|0
+996|k1991:v1991,k1992:v1992|2090,2091|996,abc996|1
+997|k1993:v1993,k1994:v1994|2092,2093|997,abc997|0
+998|k1995:v1995,k1996:v1996|2094,2095|998,abc998|1
+999|k1997:v1997,k1998:v1998|2096,2097|999,abc999|0
+1000|k1999:v1999,k2000:v2000|2098,2099|1000,abc1000|1
+1001|k2001:v2001,k2002:v2002|2100,2101|1001,abc1001|0
+1002|k2003:v2003,k2004:v2004|2102,2103|1002,abc1002|1
+1003|k2005:v2005,k2006:v2006|2104,2105|1003,abc1003|0
+1004|k2007:v2007,k2008:v2008|2106,2107|1004,abc1004|1
+1005|k2009:v2009,k2010:v2010|2108,2109|1005,abc1005|0
+1006|k2011:v2011,k2012:v2012|2110,2111|1006,abc1006|1
+1007|k2013:v2013,k2014:v2014|2112,2113|1007,abc1007|0
+1008|k2015:v2015,k2016:v2016|2114,2115|1008,abc1008|1
+1009|k2017:v2017,k2018:v2018|2116,2117|1009,abc1009|0
+1010|k2019:v2019,k2020:v2020|2118,2119|1010,abc1010|1
+1011|k2021:v2021,k2022:v2022|2120,2121|1011,abc1011|0
+1012|k2023:v2023,k2024:v2024|2122,2123|1012,abc1012|1
+1013|k2025:v2025,k2026:v2026|2124,2125|1013,abc1013|0
+1014|k2027:v2027,k2028:v2028|2126,2127|1014,abc1014|1
+1015|k2029:v2029,k2030:v2030|2128,2129|1015,abc1015|0
+1016|k2031:v2031,k2032:v2032|2130,2131|1016,abc1016|1
+1017|k2033:v2033,k2034:v2034|2132,2133|1017,abc1017|0
+1018|k2035:v2035,k2036:v2036|2134,2135|1018,abc1018|1
+1019|k2037:v2037,k2038:v2038|2136,2137|1019,abc1019|0
+1020|k2039:v2039,k2040:v2040|2138,2139|1020,abc1020|1
+1021|k2041:v2041,k2042:v2042|2140,2141|1021,abc1021|0
+1022|k2043:v2043,k2044:v2044|2142,2143|1022,abc1022|1
+1023|k2045:v2045,k2046:v2046|2144,2145|1023,abc1023|0
+1024|k2047:v2047,k2048:v2048|2146,2147|1024,abc1024|1
+1025|k2049:v2049,k2050:v2050|2148,2149|1025,abc1025|0
\ No newline at end of file
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/itests/src/test/resources/testconfiguration.properties
----------------------------------------------------------------------
diff --git a/itests/src/test/resources/testconfiguration.properties b/itests/src/test/resources/testconfiguration.properties
index eabe67f..cca1055 100644
--- a/itests/src/test/resources/testconfiguration.properties
+++ b/itests/src/test/resources/testconfiguration.properties
@@ -78,6 +78,7 @@ minillap.shared.query.files=insert_into1.q,\
orc_merge_diff_fs.q,\
parallel_colstats.q,\
parquet_types_vectorization.q,\
+ parquet_complex_types_vectorization.q,\
union_type_chk.q,\
cte_2.q,\
cte_4.q,\
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorExpressionDescriptor.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorExpressionDescriptor.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorExpressionDescriptor.java
index f7e3ff3..7a434b3 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorExpressionDescriptor.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/VectorExpressionDescriptor.java
@@ -78,13 +78,14 @@ public class VectorExpressionDescriptor {
BINARY (0x400),
STRUCT (0x800),
DECIMAL_64 (0x1000),
+ LIST (0X2000),
INT_DECIMAL_64_FAMILY (INT_FAMILY.value | DECIMAL_64.value),
DATETIME_FAMILY (DATE.value | TIMESTAMP.value),
INTERVAL_FAMILY (INTERVAL_YEAR_MONTH.value | INTERVAL_DAY_TIME.value),
INT_INTERVAL_YEAR_MONTH (INT_FAMILY.value | INTERVAL_YEAR_MONTH.value),
INT_DATE_INTERVAL_YEAR_MONTH (INT_FAMILY.value | DATE.value | INTERVAL_YEAR_MONTH.value),
STRING_DATETIME_FAMILY (STRING_FAMILY.value | DATETIME_FAMILY.value),
- ALL_FAMILY (0xFFF);
+ ALL_FAMILY (0xFFFF);
private final int value;
@@ -127,6 +128,8 @@ public class VectorExpressionDescriptor {
return INTERVAL_DAY_TIME;
} else if (VectorizationContext.structTypePattern.matcher(lower).matches()) {
return STRUCT;
+ } else if (VectorizationContext.listTypePattern.matcher(lower).matches()) {
+ return LIST;
} else if (lower.equals("void")) {
// The old code let void through...
return INT_FAMILY;
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/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 d5fccb5..5c7d7ee 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
@@ -423,6 +423,9 @@ public class VectorizationContext {
public static final Pattern structTypePattern = Pattern.compile("struct.*",
Pattern.CASE_INSENSITIVE);
+ public static final Pattern listTypePattern = Pattern.compile("array.*",
+ Pattern.CASE_INSENSITIVE);
+
//Map column number to type
private OutputColumnManager ocm;
@@ -3310,6 +3313,8 @@ public class VectorizationContext {
return hiveTypeName;
case STRUCT:
return "Struct";
+ case LIST:
+ return "List";
default:
throw new HiveException("Unexpected hive type name " + hiveTypeName);
}
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/ListIndexColColumn.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/ListIndexColColumn.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/ListIndexColColumn.java
new file mode 100644
index 0000000..eaa0b0b
--- /dev/null
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/ListIndexColColumn.java
@@ -0,0 +1,122 @@
+/**
+ * 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.ColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.ListColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.LongColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+/**
+ * Vectorized instruction to get an element from a list with the index from another column and put
+ * the result in an output column.
+ */
+public class ListIndexColColumn extends VectorExpression {
+ private static final long serialVersionUID = 1L;
+
+ private int listColumnNum;
+ private int indexColumnNum;
+
+ public ListIndexColColumn() {
+ super();
+ }
+
+ public ListIndexColColumn(int listColumnNum, int indexColumnNum, int outputColumnNum) {
+ super(outputColumnNum);
+ this.listColumnNum = listColumnNum;
+ this.indexColumnNum = indexColumnNum;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+ if (childExpressions != null) {
+ super.evaluateChildren(batch);
+ }
+
+ ColumnVector outV = batch.cols[outputColumnNum];
+ ListColumnVector listV = (ListColumnVector) batch.cols[listColumnNum];
+ ColumnVector childV = listV.child;
+ LongColumnVector indexColumnVector = (LongColumnVector) batch.cols[indexColumnNum];
+ long[] indexV = indexColumnVector.vector;
+
+ outV.noNulls = true;
+ if (listV.isRepeating) {
+ if (listV.isNull[0]) {
+ outV.isNull[0] = true;
+ outV.noNulls = false;
+ outV.isRepeating = true;
+ } else {
+ if (indexColumnVector.isRepeating) {
+ if (indexV[0] >= listV.lengths[0]) {
+ outV.isNull[0] = true;
+ outV.noNulls = false;
+ } else {
+ outV.setElement(0, (int) (listV.offsets[0] + indexV[0]), childV);
+ outV.isNull[0] = false;
+ }
+ outV.isRepeating = true;
+ } else {
+ for (int i = 0; i < batch.size; i++) {
+ int j = (batch.selectedInUse) ? batch.selected[i] : i;
+ if (indexV[j] >= listV.lengths[0]) {
+ outV.isNull[j] = true;
+ outV.noNulls = false;
+ } else {
+ outV.setElement(j, (int) (listV.offsets[0] + indexV[j]), childV);
+ outV.isNull[j] = false;
+ }
+ }
+ outV.isRepeating = false;
+ }
+ }
+ } else {
+ for (int i = 0; i < batch.size; i++) {
+ int j = (batch.selectedInUse) ? batch.selected[i] : i;
+ if (listV.isNull[j] || indexV[j] >= listV.lengths[j]) {
+ outV.isNull[j] = true;
+ outV.noNulls = false;
+ } else {
+ outV.setElement(j, (int) (listV.offsets[j] + indexV[j]), childV);
+ outV.isNull[j] = false;
+ }
+ }
+ outV.isRepeating = false;
+ }
+ }
+
+ @Override
+ public String vectorExpressionParameters() {
+ return getColumnParamString(0, listColumnNum) + ", " + getColumnParamString(1, indexColumnNum);
+ }
+
+ @Override
+ public VectorExpressionDescriptor.Descriptor getDescriptor() {
+ return (new VectorExpressionDescriptor.Builder())
+ .setMode(
+ VectorExpressionDescriptor.Mode.PROJECTION)
+ .setNumArguments(2)
+ .setArgumentTypes(
+ VectorExpressionDescriptor.ArgumentType.LIST,
+ VectorExpressionDescriptor.ArgumentType.INT_FAMILY)
+ .setInputExpressionTypes(
+ VectorExpressionDescriptor.InputExpressionType.COLUMN,
+ VectorExpressionDescriptor.InputExpressionType.COLUMN).build();
+ }
+}
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/ListIndexColScalar.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/ListIndexColScalar.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/ListIndexColScalar.java
new file mode 100644
index 0000000..7231606
--- /dev/null
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/vector/expressions/ListIndexColScalar.java
@@ -0,0 +1,104 @@
+/**
+ * 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.ColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.ListColumnVector;
+import org.apache.hadoop.hive.ql.exec.vector.VectorExpressionDescriptor;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedRowBatch;
+
+/**
+ * Vectorized instruction to get an element from a list with a scalar index and put
+ * the result in an output column.
+ */
+public class ListIndexColScalar extends VectorExpression {
+ private static final long serialVersionUID = 1L;
+
+ private int listColumnNum;
+ private int index;
+
+ public ListIndexColScalar() {
+ super();
+ }
+
+ public ListIndexColScalar(int listColumn, int index, int outputColumnNum) {
+ super(outputColumnNum);
+ this.listColumnNum = listColumn;
+ this.index = index;
+ }
+
+ @Override
+ public void evaluate(VectorizedRowBatch batch) {
+ if (childExpressions != null) {
+ super.evaluateChildren(batch);
+ }
+
+ ColumnVector outV = batch.cols[outputColumnNum];
+ ListColumnVector listV = (ListColumnVector) batch.cols[listColumnNum];
+ ColumnVector childV = listV.child;
+
+ outV.noNulls = true;
+ if (listV.isRepeating) {
+ if (listV.isNull[0]) {
+ outV.isNull[0] = true;
+ outV.noNulls = false;
+ } else {
+ if (index >= listV.lengths[0]) {
+ outV.isNull[0] = true;
+ outV.noNulls = false;
+ } else {
+ outV.setElement(0, (int) (listV.offsets[0] + index), childV);
+ outV.isNull[0] = false;
+ }
+ }
+ outV.isRepeating = true;
+ } else {
+ for (int i = 0; i < batch.size; i++) {
+ int j = (batch.selectedInUse) ? batch.selected[i] : i;
+ if (listV.isNull[j] || index >= listV.lengths[j]) {
+ outV.isNull[j] = true;
+ outV.noNulls = false;
+ } else {
+ outV.setElement(j, (int) (listV.offsets[j] + index), childV);
+ outV.isNull[j] = false;
+ }
+ }
+ outV.isRepeating = false;
+ }
+ }
+
+ @Override
+ public String vectorExpressionParameters() {
+ return getColumnParamString(0, listColumnNum) + ", " + getColumnParamString(1, index);
+ }
+
+ @Override
+ public VectorExpressionDescriptor.Descriptor getDescriptor() {
+ return (new VectorExpressionDescriptor.Builder())
+ .setMode(
+ VectorExpressionDescriptor.Mode.PROJECTION)
+ .setNumArguments(2)
+ .setArgumentTypes(
+ VectorExpressionDescriptor.ArgumentType.LIST,
+ VectorExpressionDescriptor.ArgumentType.INT_FAMILY)
+ .setInputExpressionTypes(
+ VectorExpressionDescriptor.InputExpressionType.COLUMN,
+ VectorExpressionDescriptor.InputExpressionType.SCALAR).build();
+ }
+}
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/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 d8df5cc..8733064 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
@@ -62,6 +62,7 @@ import org.apache.hadoop.hive.serde2.objectinspector.primitive.SettableShortObje
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.StructTypeInfo;
+import org.apache.hadoop.hive.serde2.typeinfo.ListTypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfo;
import org.apache.hadoop.hive.serde2.typeinfo.TypeInfoUtils;
import org.apache.hadoop.io.Text;
@@ -1403,11 +1404,14 @@ public final class VectorExpressionWriterFactory {
SettableListObjectInspector fieldObjInspector) throws HiveException {
return new VectorExpressionWriterList() {
- private Object obj;
+ private VectorExtractRow vectorExtractRow;
+ private ListTypeInfo listTypeInfo;
public VectorExpressionWriter init(SettableListObjectInspector objInspector) throws HiveException {
super.init(objInspector);
- obj = initValue(null);
+ vectorExtractRow = new VectorExtractRow();
+ listTypeInfo = (ListTypeInfo)
+ TypeInfoUtils.getTypeInfoFromTypeString(objInspector.getTypeName());
return this;
}
@@ -1419,14 +1423,26 @@ public final class VectorExpressionWriterFactory {
@Override
public Object writeValue(ColumnVector column, int row)
throws HiveException {
- throw new HiveException("Not implemented yet");
+ return setValue(null, column, row);
}
@Override
public Object setValue(Object row, ColumnVector column, int columnRow)
throws HiveException {
- throw new HiveException("Not implemented yet");
+ final ListColumnVector listColVector = (ListColumnVector) column;
+ final SettableListObjectInspector listOI =
+ (SettableListObjectInspector) this.objectInspector;
+ final List value = (List)vectorExtractRow.extractRowColumn(listColVector,
+ listTypeInfo, listOI, columnRow);
+ if (null == row) {
+ row = ((SettableListObjectInspector) this.objectInspector).create(value.size());
+ }
+ for (int i = 0; i < value.size(); i++) {
+ listOI.set(row, i, value.get(i));
+ }
+ return row;
}
+
}.init(fieldObjInspector);
}
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFIndex.java
----------------------------------------------------------------------
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFIndex.java b/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFIndex.java
index bdb2361..3db96ec 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFIndex.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/udf/generic/GenericUDFIndex.java
@@ -22,6 +22,9 @@ import org.apache.hadoop.hive.ql.exec.Description;
import org.apache.hadoop.hive.ql.exec.UDFArgumentException;
import org.apache.hadoop.hive.ql.exec.UDFArgumentLengthException;
import org.apache.hadoop.hive.ql.exec.UDFArgumentTypeException;
+import org.apache.hadoop.hive.ql.exec.vector.VectorizedExpressions;
+import org.apache.hadoop.hive.ql.exec.vector.expressions.ListIndexColColumn;
+import org.apache.hadoop.hive.ql.exec.vector.expressions.ListIndexColScalar;
import org.apache.hadoop.hive.ql.metadata.HiveException;
import org.apache.hadoop.hive.serde2.objectinspector.ListObjectInspector;
import org.apache.hadoop.hive.serde2.objectinspector.MapObjectInspector;
@@ -37,6 +40,7 @@ import org.apache.hadoop.io.IntWritable;
*
*/
@Description(name = "index", value = "_FUNC_(a, n) - Returns the n-th element of a ")
+@VectorizedExpressions({ListIndexColScalar.class, ListIndexColColumn.class})
public class GenericUDFIndex extends GenericUDF {
private transient MapObjectInspector mapOI;
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/ql/src/test/queries/clientpositive/parquet_complex_types_vectorization.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/parquet_complex_types_vectorization.q b/ql/src/test/queries/clientpositive/parquet_complex_types_vectorization.q
new file mode 100644
index 0000000..afca8be
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/parquet_complex_types_vectorization.q
@@ -0,0 +1,65 @@
+set hive.mapred.mode=nonstrict;
+set hive.vectorized.execution.enabled=true;
+set hive.fetch.task.conversion=none;
+
+DROP TABLE parquet_complex_types_staging;
+DROP TABLE parquet_complex_types;
+
+CREATE TABLE parquet_complex_types_staging (
+id int,
+m1 map<string, varchar(5)>,
+l1 array<int>,
+st1 struct<c1:int, c2:string>,
+listIndex int
+) ROW FORMAT DELIMITED
+FIELDS TERMINATED BY '|'
+COLLECTION ITEMS TERMINATED BY ','
+MAP KEYS TERMINATED BY ':';
+
+CREATE TABLE parquet_complex_types (
+id int,
+m1 map<string, varchar(5)>,
+l1 array<int>,
+st1 struct<c1:int, c2:string>,
+listIndex int
+) STORED AS PARQUET;
+
+-- test data size < 1024
+LOAD DATA LOCAL INPATH '../../data/files/parquet_complex_types.txt' OVERWRITE INTO TABLE parquet_complex_types_staging;
+INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging where id < 1024;
+
+-- verify the row number
+select count(*) from parquet_complex_types;
+-- test element select with constant and variable
+explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10;
+select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10;
+-- test complex select with list
+explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10;
+select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10;
+
+-- test data size = 1024
+INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging where id < 1025;
+
+-- verify the row number
+select count(*) from parquet_complex_types;
+-- test element select with constant and variable
+explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10;
+select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10;
+-- test complex select with list
+explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10;
+select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10;
+
+-- test data size = 1025
+INSERT OVERWRITE TABLE parquet_complex_types
+SELECT id, m1, l1, st1, listIndex FROM parquet_complex_types_staging;
+
+-- verify the row number
+select count(*) from parquet_complex_types;
+-- test element select with constant and variable
+explain vectorization expression select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10;
+select l1, l1[0], l1[1], l1[listIndex], listIndex from parquet_complex_types limit 10;
+-- test complex select with list
+explain vectorization expression select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] limit 10;
+select sum(l1[0]), l1[1] from parquet_complex_types where l1[0] > 1000 group by l1[1] order by l1[1] desc limit 10;
http://git-wip-us.apache.org/repos/asf/hive/blob/b8aa16ff/ql/src/test/queries/clientpositive/vector_complex_join.q
----------------------------------------------------------------------
diff --git a/ql/src/test/queries/clientpositive/vector_complex_join.q b/ql/src/test/queries/clientpositive/vector_complex_join.q
index 3c70d9b..db407bc 100644
--- a/ql/src/test/queries/clientpositive/vector_complex_join.q
+++ b/ql/src/test/queries/clientpositive/vector_complex_join.q
@@ -5,7 +5,7 @@ SET hive.vectorized.execution.enabled=true;
SET hive.auto.convert.join=true;
set hive.fetch.task.conversion=none;
--- From HIVE-10729. Not expected to vectorize this query.
+-- The test case is updated for HIVE-18043.
--
CREATE TABLE test (a INT, b MAP<INT, STRING>) STORED AS ORC;
INSERT OVERWRITE TABLE test SELECT 199408978, MAP(1, "val_1", 2, "val_2") FROM src LIMIT 1;
@@ -17,8 +17,8 @@ select * from alltypesorc join test where alltypesorc.cint=test.a;
-CREATE TABLE test2a (a ARRAY<INT>) STORED AS ORC;
-INSERT OVERWRITE TABLE test2a SELECT ARRAY(1, 2) FROM src LIMIT 1;
+CREATE TABLE test2a (a ARRAY<INT>, index INT) STORED AS ORC;
+INSERT OVERWRITE TABLE test2a SELECT ARRAY(1, 2), 1 FROM src LIMIT 1;
CREATE TABLE test2b (a INT) STORED AS ORC;
INSERT OVERWRITE TABLE test2b VALUES (2), (3), (4);
@@ -28,3 +28,8 @@ explain vectorization expression
select * from test2b join test2a on test2b.a = test2a.a[1];
select * from test2b join test2a on test2b.a = test2a.a[1];
+
+explain vectorization expression
+select * from test2b join test2a on test2b.a = test2a.a[test2a.index];
+
+select * from test2b join test2a on test2b.a = test2a.a[test2a.index];
\ No newline at end of file
[26/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_1.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_1.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_1.q.out
new file mode 100644
index 0000000..637c5be
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_1.q.out
@@ -0,0 +1,185 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT VAR_POP(ctinyint),
+ (VAR_POP(ctinyint) / -26.28),
+ SUM(cfloat),
+ (-1.389 + SUM(cfloat)),
+ (SUM(cfloat) * (-1.389 + SUM(cfloat))),
+ MAX(ctinyint),
+ (-((SUM(cfloat) * (-1.389 + SUM(cfloat))))),
+ MAX(cint),
+ (MAX(cint) * 79.553),
+ VAR_SAMP(cdouble),
+ (10.175 % (-((SUM(cfloat) * (-1.389 + SUM(cfloat)))))),
+ COUNT(cint),
+ (-563 % MAX(cint))
+FROM alltypesparquet
+WHERE (((cdouble > ctinyint)
+ AND (cboolean2 > 0))
+ OR ((cbigint < ctinyint)
+ OR ((cint > cbigint)
+ OR (cboolean1 < 0))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT VAR_POP(ctinyint),
+ (VAR_POP(ctinyint) / -26.28),
+ SUM(cfloat),
+ (-1.389 + SUM(cfloat)),
+ (SUM(cfloat) * (-1.389 + SUM(cfloat))),
+ MAX(ctinyint),
+ (-((SUM(cfloat) * (-1.389 + SUM(cfloat))))),
+ MAX(cint),
+ (MAX(cint) * 79.553),
+ VAR_SAMP(cdouble),
+ (10.175 % (-((SUM(cfloat) * (-1.389 + SUM(cfloat)))))),
+ COUNT(cint),
+ (-563 % MAX(cint))
+FROM alltypesparquet
+WHERE (((cdouble > ctinyint)
+ AND (cboolean2 > 0))
+ OR ((cbigint < ctinyint)
+ OR ((cint > cbigint)
+ OR (cboolean1 < 0))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterDoubleColGreaterDoubleColumn(col 5:double, col 13:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), FilterLongColGreaterLongScalar(col 11:boolean, val 0)), FilterLongColLessLongColumn(col 3:bigint, col 0:bigint)(children: col 0:tinyint), FilterLongColGreaterLongColumn(col 2:bigint, col 3:bigint)(children: col 2:int), FilterLongColLessLongScalar(col 10:boolean, val 0))
+ predicate: (((cdouble > UDFToDouble(ctinyint)) and (cboolean2 > 0)) or (UDFToLong(cint) > cbigint) or (cbigint < UDFToLong(ctinyint)) or (cboolean1 < 0)) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cint (type: int), cfloat (type: float), cdouble (type: double)
+ outputColumnNames: ctinyint, cint, cfloat, cdouble
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 4, 5]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: var_pop(ctinyint), sum(cfloat), max(ctinyint), max(cint), var_samp(cdouble), count(cint)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFMaxLong(col 0:tinyint) -> tinyint, VectorUDAFMaxLong(col 2:int) -> int, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: var_samp, VectorUDAFCount(col 2:int) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,variance:double>), _col1 (type: double), _col2 (type: tinyint), _col3 (type: int), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 2, 3, 4, 5, 10, 11]
+ 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: [double]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: var_pop(VALUE._col0), sum(VALUE._col1), max(VALUE._col2), max(VALUE._col3), var_samp(VALUE._col4), count(VALUE._col5)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: double), (_col0 / -26.28) (type: double), _col1 (type: double), (-1.389 + _col1) (type: double), (_col1 * (-1.389 + _col1)) (type: double), _col2 (type: tinyint), (- (_col1 * (-1.389 + _col1))) (type: double), _col3 (type: int), (CAST( _col3 AS decimal(10,0)) * 79.553) (type: decimal(16,3)), _col4 (type: double), (10.175 % (- (_col1 * (-1.389 + _col1)))) (type: double), _col5 (type: bigint), (-563 % _col3) (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12
+ Statistics: Num rows: 1 Data size: 184 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 184 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT VAR_POP(ctinyint),
+ (VAR_POP(ctinyint) / -26.28),
+ SUM(cfloat),
+ (-1.389 + SUM(cfloat)),
+ (SUM(cfloat) * (-1.389 + SUM(cfloat))),
+ MAX(ctinyint),
+ (-((SUM(cfloat) * (-1.389 + SUM(cfloat))))),
+ MAX(cint),
+ (MAX(cint) * 79.553),
+ VAR_SAMP(cdouble),
+ (10.175 % (-((SUM(cfloat) * (-1.389 + SUM(cfloat)))))),
+ COUNT(cint),
+ (-563 % MAX(cint))
+FROM alltypesparquet
+WHERE (((cdouble > ctinyint)
+ AND (cboolean2 > 0))
+ OR ((cbigint < ctinyint)
+ OR ((cint > cbigint)
+ OR (cboolean1 < 0))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT VAR_POP(ctinyint),
+ (VAR_POP(ctinyint) / -26.28),
+ SUM(cfloat),
+ (-1.389 + SUM(cfloat)),
+ (SUM(cfloat) * (-1.389 + SUM(cfloat))),
+ MAX(ctinyint),
+ (-((SUM(cfloat) * (-1.389 + SUM(cfloat))))),
+ MAX(cint),
+ (MAX(cint) * 79.553),
+ VAR_SAMP(cdouble),
+ (10.175 % (-((SUM(cfloat) * (-1.389 + SUM(cfloat)))))),
+ COUNT(cint),
+ (-563 % MAX(cint))
+FROM alltypesparquet
+WHERE (((cdouble > ctinyint)
+ AND (cboolean2 > 0))
+ OR ((cbigint < ctinyint)
+ OR ((cint > cbigint)
+ OR (cboolean1 < 0))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+1074.830257547229 -40.89917266161449 -21997.674998402596 -21999.063998402595 4.839282601059194E8 62 -4.839282601059194E8 1073680599 85414512692.247 7.569848642620903E10 10.175 3745 -563
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_10.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_10.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_10.q.out
new file mode 100644
index 0000000..6e87257
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_10.q.out
@@ -0,0 +1,409 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cdouble,
+ ctimestamp1,
+ ctinyint,
+ cboolean1,
+ cstring1,
+ (-(cdouble)),
+ (cdouble + csmallint),
+ ((cdouble + csmallint) % 33),
+ (-(cdouble)),
+ (ctinyint % cdouble),
+ (ctinyint % csmallint),
+ (-(cdouble)),
+ (cbigint * (ctinyint % csmallint)),
+ (9763215.5639 - (cdouble + csmallint)),
+ (-((-(cdouble))))
+FROM alltypesparquet
+WHERE (((cstring2 <= '10')
+ OR ((ctinyint > cdouble)
+ AND (-5638.15 >= ctinyint)))
+ OR ((cdouble > 6981)
+ AND ((csmallint = 9763215.5639)
+ OR (cstring1 LIKE '%a'))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cdouble,
+ ctimestamp1,
+ ctinyint,
+ cboolean1,
+ cstring1,
+ (-(cdouble)),
+ (cdouble + csmallint),
+ ((cdouble + csmallint) % 33),
+ (-(cdouble)),
+ (ctinyint % cdouble),
+ (ctinyint % csmallint),
+ (-(cdouble)),
+ (cbigint * (ctinyint % csmallint)),
+ (9763215.5639 - (cdouble + csmallint)),
+ (-((-(cdouble))))
+FROM alltypesparquet
+WHERE (((cstring2 <= '10')
+ OR ((ctinyint > cdouble)
+ AND (-5638.15 >= ctinyint)))
+ OR ((cdouble > 6981)
+ AND ((csmallint = 9763215.5639)
+ OR (cstring1 LIKE '%a'))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterStringGroupColLessEqualStringScalar(col 7:string, val 10), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleColumn(col 13:double, col 5:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), FilterDecimalScalarGreaterEqualDecimalColumn(val -5638.15, col 14:decimal(6,2))(children: CastLongToDecimal(col 0:tinyint) -> 14:decimal(6,2))), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 5:double, val 6981.0), FilterExprOrExpr(children: FilterDecimalColEqualDecimalScalar(col 15:decimal(11,4), val 9763215.5639)(children: CastLongToDecimal(col 1:smallint) -> 15:decimal(11,4)), FilterStringColLikeStringScalar(col 6:string, pattern %a))))
+ predicate: (((UDFToDouble(ctinyint) > cdouble) and (-5638.15 >= CAST( ctinyint AS decimal(6,2)))) or ((cdouble > 6981.0) and ((CAST( csmallint AS decimal(11,4)) = 9763215.5639) or (cstring1 like '%a'))) or (cstring2 <= '10')) (type: boolean)
+ Statistics: Num rows: 9557 Data size: 114684 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cdouble (type: double), ctimestamp1 (type: timestamp), ctinyint (type: tinyint), cboolean1 (type: boolean), cstring1 (type: string), (- cdouble) (type: double), (cdouble + UDFToDouble(csmallint)) (type: double), ((cdouble + UDFToDouble(csmallint)) % 33.0) (type: double), (- cdouble) (type: double), (UDFToDouble(ctinyint) % cdouble) (type: double), (UDFToShort(ctinyint) % csmallint) (type: smallint), (- cdouble) (type: double), (cbigint * UDFToLong((UDFToShort(ctinyint) % csmallint))) (type: bigint), (9763215.5639 - (cdouble + UDFToDouble(csmallint))) (type: double), (- (- cdouble)) (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: [5, 8, 0, 10, 6, 13, 17, 16, 18, 20, 21, 19, 23, 24, 26]
+ selectExpressions: DoubleColUnaryMinus(col 5:double) -> 13:double, DoubleColAddDoubleColumn(col 5:double, col 16:double)(children: CastLongToDouble(col 1:smallint) -> 16:double) -> 17:double, DoubleColModuloDoubleScalar(col 18:double, val 33.0)(children: DoubleColAddDoubleColumn(col 5:double, col 16:double)(children: CastLongToDouble(col 1:smallint) -> 16:double) -> 18:double) -> 16:double, DoubleColUnaryMinus(col 5:double) -> 18:double, DoubleColModuloDoubleColumn(col 19:double, col 5:double)(children: CastLongToDouble(col 0:tinyint) -> 19:double) -> 20:double, LongColModuloLongColumn(col 0:smallint, col 1:smallint)(children: col 0:tinyint) -> 21:smallint, DoubleColUnaryMinus(col 5:double) -> 19:double, LongColMultiplyLongColumn(col 3:bigint, col 22:bigint)(children: col 22:smallint) -> 23:bigint, DoubleScalarSubtractDoubleColumn(val 9763215.5639, col 25:double)(children: DoubleColAddDoubleColumn(col 5:double, col 24:double)(children: CastLongToDouble(col 1:smal
lint) -> 24:double) -> 25:double) -> 24:double, DoubleColUnaryMinus(col 25:double)(children: DoubleColUnaryMinus(col 5:double) -> 25:double) -> 26:double
+ Statistics: Num rows: 9557 Data size: 114684 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 9557 Data size: 114684 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 3, 5, 6, 7, 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: [double, decimal(6,2), decimal(11,4), double, double, double, double, double, bigint, bigint, bigint, double, double, double]
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cdouble,
+ ctimestamp1,
+ ctinyint,
+ cboolean1,
+ cstring1,
+ (-(cdouble)),
+ (cdouble + csmallint),
+ ((cdouble + csmallint) % 33),
+ (-(cdouble)),
+ (ctinyint % cdouble),
+ (ctinyint % csmallint),
+ (-(cdouble)),
+ (cbigint * (ctinyint % csmallint)),
+ (9763215.5639 - (cdouble + csmallint)),
+ (-((-(cdouble))))
+FROM alltypesparquet
+WHERE (((cstring2 <= '10')
+ OR ((ctinyint > cdouble)
+ AND (-5638.15 >= ctinyint)))
+ OR ((cdouble > 6981)
+ AND ((csmallint = 9763215.5639)
+ OR (cstring1 LIKE '%a'))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cdouble,
+ ctimestamp1,
+ ctinyint,
+ cboolean1,
+ cstring1,
+ (-(cdouble)),
+ (cdouble + csmallint),
+ ((cdouble + csmallint) % 33),
+ (-(cdouble)),
+ (ctinyint % cdouble),
+ (ctinyint % csmallint),
+ (-(cdouble)),
+ (cbigint * (ctinyint % csmallint)),
+ (9763215.5639 - (cdouble + csmallint)),
+ (-((-(cdouble))))
+FROM alltypesparquet
+WHERE (((cstring2 <= '10')
+ OR ((ctinyint > cdouble)
+ AND (-5638.15 >= ctinyint)))
+ OR ((cdouble > 6981)
+ AND ((csmallint = 9763215.5639)
+ OR (cstring1 LIKE '%a'))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-200.0 1969-12-31 15:59:44.04 32 NULL NULL 200.0 -400.0 -4.0 200.0 32.0 32 200.0 -8229422560 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:46.076 9 NULL NULL 200.0 -400.0 -4.0 200.0 9.0 9 200.0 -14202953316 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:47.828 -10 NULL NULL 200.0 -400.0 -4.0 200.0 -10.0 -10 200.0 7156607330 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:48.188 18 NULL NULL 200.0 -400.0 -4.0 200.0 18.0 18 200.0 -15013264662 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:49.331 -46 NULL NULL 200.0 -400.0 -4.0 200.0 -46.0 -46 200.0 93596894876 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:50.618 -60 NULL NULL 200.0 -400.0 -4.0 200.0 -60.0 -60 200.0 -55670852400 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:51.063 58 NULL NULL 200.0 -400.0 -4.0 200.0 58.0 58 200.0 -25062091276 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:51.342 60 NULL NULL 200.0 -400.0 -4.0 200.0 60.0 60 200.0 118868432400 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:53.476 -22 NULL NULL 200.0 -400.0 -4.0 200.0 -22.0 -22 200.0 -3315653088 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:53.743 25 NULL NULL 200.0 -400.0 -4.0 200.0 25.0 25 200.0 46547828825 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:54.187 -45 NULL NULL 200.0 -400.0 -4.0 200.0 -45.0 -45 200.0 -63963827865 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:54.866 -26 NULL NULL 200.0 -400.0 -4.0 200.0 -26.0 -26 200.0 7325400810 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:55.829 0 NULL NULL 200.0 -400.0 -4.0 200.0 0.0 0 200.0 0 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:57.349 -56 NULL NULL 200.0 -400.0 -4.0 200.0 -56.0 -56 200.0 -34216461496 9763615.5639 -200.0
+-200.0 1969-12-31 15:59:57.47 6 NULL NULL 200.0 -400.0 -4.0 200.0 6.0 6 200.0 -7015614564 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:00.893 22 NULL NULL 200.0 -400.0 -4.0 200.0 22.0 22 200.0 -39924557090 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:01.653 8 NULL NULL 200.0 -400.0 -4.0 200.0 8.0 8 200.0 -15661041184 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:02.972 -58 NULL NULL 200.0 -400.0 -4.0 200.0 -58.0 -58 200.0 60297449542 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:03.333 -44 NULL NULL 200.0 -400.0 -4.0 200.0 -44.0 -44 200.0 79435713324 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:03.446 -19 NULL NULL 200.0 -400.0 -4.0 200.0 -19.0 -19 200.0 10670477159 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:03.794 13 NULL NULL 200.0 -400.0 -4.0 200.0 13.0 13 200.0 11630250073 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:04.967 62 NULL NULL 200.0 -400.0 -4.0 200.0 62.0 62 200.0 61311056 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:05.377 -52 NULL NULL 200.0 -400.0 -4.0 200.0 -52.0 -52 200.0 -97123836836 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:06.3 14 NULL NULL 200.0 -400.0 -4.0 200.0 14.0 14 200.0 811814206 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:07.731 44 NULL NULL 200.0 -400.0 -4.0 200.0 44.0 44 200.0 -59205151456 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:08.046 -33 NULL NULL 200.0 -400.0 -4.0 200.0 -33.0 -33 200.0 -9274988019 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:09.111 -37 NULL NULL 200.0 -400.0 -4.0 200.0 -37.0 -37 200.0 -9024569730 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:09.539 7 NULL NULL 200.0 -400.0 -4.0 200.0 7.0 7 200.0 9345007252 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:09.883 46 NULL NULL 200.0 -400.0 -4.0 200.0 46.0 46 200.0 -20096868102 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:10.601 55 NULL NULL 200.0 -400.0 -4.0 200.0 55.0 55 200.0 110230625780 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:11.08 -9 NULL NULL 200.0 -400.0 -4.0 200.0 -9.0 -9 200.0 -5470381665 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:11.15 -30 NULL NULL 200.0 -400.0 -4.0 200.0 -30.0 -30 200.0 25029255630 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:15.091 -43 NULL NULL 200.0 -400.0 -4.0 200.0 -43.0 -43 200.0 -46861099946 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:15.143 16 NULL NULL 200.0 -400.0 -4.0 200.0 16.0 16 200.0 -33756365728 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:15.296 -59 NULL NULL 200.0 -400.0 -4.0 200.0 -59.0 -59 200.0 -9757710398 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:15.969 8 NULL NULL 200.0 -400.0 -4.0 200.0 8.0 8 200.0 -9832802032 9763615.5639 -200.0
+-200.0 1969-12-31 16:00:16.178 -30 NULL NULL 200.0 -400.0 -4.0 200.0 -30.0 -30 200.0 47698035420 9763615.5639 -200.0
+-7196.0 1969-12-31 15:59:44.292 -23 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -23.0 -23 7196.0 46033183457 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:45.518 47 NULL NULL 7196.0 -14392.0 -4.0 7196.0 47.0 47 7196.0 81143089746 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:48.929 -12 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -12.0 -12 7196.0 14774939436 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:49.326 39 NULL NULL 7196.0 -14392.0 -4.0 7196.0 39.0 39 7196.0 -30362271264 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:50.265 3 NULL NULL 7196.0 -14392.0 -4.0 7196.0 3.0 3 7196.0 -5006530458 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:50.462 56 NULL NULL 7196.0 -14392.0 -4.0 7196.0 56.0 56 7196.0 -118616357552 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:51.009 -49 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -49.0 -49 7196.0 NULL 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:51.561 -35 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -35.0 -35 7196.0 -70617762705 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:52.969 -27 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -27.0 -27 7196.0 8967759183 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:53.145 -24 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -24.0 -24 7196.0 -19898664000 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:53.686 -39 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -39.0 -39 7196.0 45315380682 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:54.133 11 NULL NULL 7196.0 -14392.0 -4.0 7196.0 11.0 11 7196.0 13012660188 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:54.776 10 NULL NULL 7196.0 -14392.0 -4.0 7196.0 10.0 10 7196.0 -6713016290 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:55.492 14 NULL NULL 7196.0 -14392.0 -4.0 7196.0 14.0 14 7196.0 23828505764 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:55.667 56 NULL NULL 7196.0 -14392.0 -4.0 7196.0 56.0 56 7196.0 -120146991496 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:56.135 -17 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -17.0 -17 7196.0 8662474406 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:57.011 42 NULL NULL 7196.0 -14392.0 -4.0 7196.0 42.0 42 7196.0 -23099469372 9777607.5639 -7196.0
+-7196.0 1969-12-31 15:59:57.86 -52 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -52.0 -52 7196.0 1368083028 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:00.381 -2 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -2.0 -2 7196.0 -1206817104 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:01.088 -16 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -16.0 -16 7196.0 -7507617424 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:01.22 -62 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -62.0 -62 7196.0 -103567870178 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:04.233 26 NULL NULL 7196.0 -14392.0 -4.0 7196.0 26.0 26 7196.0 -15783340898 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:06.848 -18 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -18.0 -18 7196.0 1982664288 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:08.373 60 NULL NULL 7196.0 -14392.0 -4.0 7196.0 60.0 60 7196.0 -119905930860 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:08.418 41 NULL NULL 7196.0 -14392.0 -4.0 7196.0 41.0 41 7196.0 32453141435 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:10.915 39 NULL NULL 7196.0 -14392.0 -4.0 7196.0 39.0 39 7196.0 -14094881658 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:11.36 -53 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -53.0 -53 7196.0 71962864647 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:11.703 -29 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -29.0 -29 7196.0 10213273940 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:13.231 53 NULL NULL 7196.0 -14392.0 -4.0 7196.0 53.0 53 7196.0 -36144071012 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:13.787 24 NULL NULL 7196.0 -14392.0 -4.0 7196.0 24.0 24 7196.0 38316668352 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:13.816 31 NULL NULL 7196.0 -14392.0 -4.0 7196.0 31.0 31 7196.0 -56470642871 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:15.188 -21 NULL NULL 7196.0 -14392.0 -4.0 7196.0 -21.0 -21 7196.0 38372734386 9777607.5639 -7196.0
+-7196.0 1969-12-31 16:00:15.923 15 NULL NULL 7196.0 -14392.0 -4.0 7196.0 15.0 15 7196.0 6481300020 9777607.5639 -7196.0
+11619.0 NULL NULL false lJ63qx87BLmdMfa -11619.0 23238.0 6.0 -11619.0 NULL NULL -11619.0 NULL 9739977.5639 11619.0
+12004.0 NULL NULL true a -12004.0 24008.0 17.0 -12004.0 NULL NULL -12004.0 NULL 9739207.5639 12004.0
+12520.0 NULL NULL false S7UM6KgdxTofi6rwXBFa2a -12520.0 25040.0 26.0 -12520.0 NULL NULL -12520.0 NULL 9738175.5639 12520.0
+13167.0 NULL NULL true 4gBPJa -13167.0 26334.0 0.0 -13167.0 NULL NULL -13167.0 NULL 9736881.5639 13167.0
+14460.0 NULL NULL true hQAra -14460.0 28920.0 12.0 -14460.0 NULL NULL -14460.0 NULL 9734295.5639 14460.0
+14468.0 NULL NULL true 3B3ubgg3B6a -14468.0 28936.0 28.0 -14468.0 NULL NULL -14468.0 NULL 9734279.5639 14468.0
+15601.0 1969-12-31 15:59:44.115 -20 NULL NULL -15601.0 31202.0 17.0 -15601.0 -20.0 -20 -15601.0 5179862200 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:45.655 -23 NULL NULL -15601.0 31202.0 17.0 -15601.0 -23.0 -23 -15601.0 -14931660214 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:46.258 -26 NULL NULL -15601.0 31202.0 17.0 -15601.0 -26.0 -26 -15601.0 -35132327672 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:46.33 24 NULL NULL -15601.0 31202.0 17.0 -15601.0 24.0 24 -15601.0 -41767499616 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:46.443 -43 NULL NULL -15601.0 31202.0 17.0 -15601.0 -43.0 -43 -15601.0 9618553900 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:46.82 -46 NULL NULL -15601.0 31202.0 17.0 -15601.0 -46.0 -46 -15601.0 9610884144 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:47.436 -51 NULL NULL -15601.0 31202.0 17.0 -15601.0 -51.0 -51 -15601.0 -3541883598 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:48.552 62 NULL NULL -15601.0 31202.0 17.0 -15601.0 62.0 62 -15601.0 -92267819432 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:48.71 -30 NULL NULL -15601.0 31202.0 17.0 -15601.0 -30.0 -30 -15601.0 -36655228350 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:48.932 16 NULL NULL -15601.0 31202.0 17.0 -15601.0 16.0 16 -15601.0 NULL 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:50.575 29 NULL NULL -15601.0 31202.0 17.0 -15601.0 29.0 29 -15601.0 -6410141150 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:51.153 -44 NULL NULL -15601.0 31202.0 17.0 -15601.0 -44.0 -44 -15601.0 17590906828 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:51.535 55 NULL NULL -15601.0 31202.0 17.0 -15601.0 55.0 55 -15601.0 -57431846615 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:51.645 10 NULL NULL -15601.0 31202.0 17.0 -15601.0 10.0 10 -15601.0 -10432519820 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:52.778 4 NULL NULL -15601.0 31202.0 17.0 -15601.0 4.0 4 -15601.0 -3767539848 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:52.786 -1 NULL NULL -15601.0 31202.0 17.0 -15601.0 -1.0 -1 -15601.0 -672512361 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:53.279 -11 NULL NULL -15601.0 31202.0 17.0 -15601.0 -11.0 -11 -15601.0 -19558985941 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:53.715 -44 NULL NULL -15601.0 31202.0 17.0 -15601.0 -44.0 -44 -15601.0 3342918304 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:54.253 -44 NULL NULL -15601.0 31202.0 17.0 -15601.0 -44.0 -44 -15601.0 -11984211184 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:54.384 -59 NULL NULL -15601.0 31202.0 17.0 -15601.0 -59.0 -59 -15601.0 -109154505771 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:54.524 52 NULL NULL -15601.0 31202.0 17.0 -15601.0 52.0 52 -15601.0 80665657592 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:56.481 10 NULL NULL -15601.0 31202.0 17.0 -15601.0 10.0 10 -15601.0 -12301158220 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:57.729 30 NULL NULL -15601.0 31202.0 17.0 -15601.0 30.0 30 -15601.0 -59602621200 9732013.5639 15601.0
+15601.0 1969-12-31 15:59:58.704 -55 NULL NULL -15601.0 31202.0 17.0 -15601.0 -55.0 -55 -15601.0 73626727075 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:02.401 30 NULL NULL -15601.0 31202.0 17.0 -15601.0 30.0 30 -15601.0 61004562030 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:03.888 -23 NULL NULL -15601.0 31202.0 17.0 -15601.0 -23.0 -23 -15601.0 48400325149 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:04.063 33 NULL NULL -15601.0 31202.0 17.0 -15601.0 33.0 33 -15601.0 -47936367534 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:05.007 35 NULL NULL -15601.0 31202.0 17.0 -15601.0 35.0 35 -15601.0 74309762800 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:05.334 22 NULL NULL -15601.0 31202.0 17.0 -15601.0 22.0 22 -15601.0 -41268959688 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:05.83 -49 NULL NULL -15601.0 31202.0 17.0 -15601.0 -49.0 -49 -15601.0 -11115220466 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:09.123 -14 NULL NULL -15601.0 31202.0 17.0 -15601.0 -14.0 -14 -15601.0 -14100538704 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:11.928 -32 NULL NULL -15601.0 31202.0 17.0 -15601.0 -32.0 -32 -15601.0 -54463594144 9732013.5639 15601.0
+15601.0 1969-12-31 16:00:14.175 -50 NULL NULL -15601.0 31202.0 17.0 -15601.0 -50.0 -50 -15601.0 -35817486300 9732013.5639 15601.0
+8801.0 NULL NULL false 5712We1FSa -8801.0 17602.0 13.0 -8801.0 NULL NULL -8801.0 NULL 9745613.5639 8801.0
+NULL 1969-12-31 16:00:02.351 11 false 0rtl1C NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false 1j3rth56N41X17c1S NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false 6a421YV NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false Bgk2cxNJk7f4rMmW38Dl3S1 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false G2s1ly NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false H5alUwndRKm NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false K11m3K43m5XFX40RJm1q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false M7xB374ixGAp NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false SN5NB5L3gpe2RtR2w50sNAd NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false V2NEmm6d0kLFGa5s01k NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false eicMhR0nJt12OH7IO2651bO NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false g552y0x1B4n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false gk0kJenBW237uQoxGBx36 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false l3r8T4QgT63 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false ve4Pgoehe6vhmYVLpP NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false w6173j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false woeLEb NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 false y605nF0K3mMoM75j NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 16L335OgyOKH4565 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 1V07gCB41Psbr5xtLiK4E NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 3Fhv1QY7Y776eQ38a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 5NM44RohO4r6 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 6AmfdSoTPmVvXdgM8CP20sx NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 6t557nSSrg1s0Q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 70070HP7Kb8Lrj NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 8s0kR1e4QVV7QO NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true 8tVuiCkFtGW5KX NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true Bsi3VIb NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true F8iVJQQdC6O4 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true II1600yobW7p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true LP5AMypx5 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true N2Jfon7dyCN2Pmm1JA NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true Nmt6E360X6dpX58CR2 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true a3EhVU6Wuy7ycJ7wY7h2gv NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true cd6Xc861fDCGe NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true gjsL355dId0aH1mj0yGky1 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true kfUgQ2uGN8a NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true qlspyY30jeWkAcB1ptQ4co0 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true s456h8r2b0jAt4Ni3qopHCxS NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true ySAfuiG2vJNn5TR5 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:02.351 11 true yc2pX4jTI0xKh5xTys NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 121307nh6r0H31Mg NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 12yT2agBjx3yQ NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 1M4eTm8OcOW2dAMV2V5slS1 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 2M106hVFEhu NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 37p34Jc2nloL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 4l6OX60y NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 74nRe6WYOO7MD7632BOS NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 8AqHq NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 8Jvom23dkWvvqv81DY5Ub3 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false 8l433e5J6I0fj0PM NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false EXWsAOlGYtb053ExF6u5FLyb NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false G2P1ogIIyMgo6j2a27egS NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false GlCK4Dw7uIb1bsY NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false J0VTT0R8t1JcxdoOO NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false J8p4pS3A8G75Ct2 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false JVCOfSTVb NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false QRq4fxOau2jef55O5X1 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false QgA6r86x0JrfdHuM NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false T0Gq3D4N50YY48AG8OQBqTU NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false WUQQRWTJ1wK1H4 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false c23S6Ky4w7Ld21lAbB NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false d1N0u454kG87DN3o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false d3yQbTLvpGyi0 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false fkA37sOkxCp44hlIKV NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false rLL8VlwJ0P NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false s038hX0U8 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false sU1VhRD0P3w47WU66 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false tyt5Bwxxe NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false uUTO41xk6VyqYPh NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false vgd8P8Ff1n NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false vmD7YLtKX0c4y2uU NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 false xgPW6tMwuNv67I0q2227 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 1Iry1n1c NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 3StDSaH7 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 3yeq763N NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 4k1RqRL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 7LdfF1415i51qpmHQI NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true 7bD30suWFdI4o5Jp6m NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true Bb2AdwWmQOcwJhqF NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true Cw412mnXhN1F NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true M76D058tDDD25v3g NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true ON30Mh8A8 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true OqM62X0G3j7XpBOTt70 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true S0LP25K12US3 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true YX250 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true j83cOtj22H5Aje7H3 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true jd4MshHSjPOuq1b2T NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true nOF31ehjY7ULCHMf NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:08.451 -51 true q2bIHkxaKKv7uD NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false 0m8aHX5yF5muTQW NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false 0siU5JLRoUBPi88Kenqg4 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false 16qqkM5M66EMI3uWjWy NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false 1AQR8H78mO7jyb2PBF NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false 31rhe NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false 4c2KT50dog5 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false 8JNVrH3Lasa826 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false BwXBC7rU57 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false M3Vcm3o NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false W4TEt52sKL0ndx4jeCahICDW NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false Xi7kOTT NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false e13dNAo71UXm4Yt1u NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false eIyS41R32 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false fVgv88OvQR1BB7toX NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false iEb04t2x333EF5wHoKRs6oKB NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false iStQPx6j8SvMc NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false j2UTaANoWtpw2co6Nj3bR2UG NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false qI8k4Mf NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false s3WL6smnb7 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 false uHkBp64 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 06Q47xVf1d5JSdb NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 07Hofhidd5ClnNx8jTl1 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 1w7DPjq NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 41PLN7aXgP57M4Rr3 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 4A7p4HkPm01W0 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 7GCfB5odqYDW1gq7iBWJ NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 7e6ntfBnB0m82i6k83 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true 8Fx0J88 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true A30e7a8ia36g25YQc8xTXBgB NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true N334idEn4hyyO64 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true Pc18F2c6iW766Vd NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true Q0PCmMLk NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true b NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true bc014i7354F36p NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true i6G060 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true oibQ623k5v33kBUK8Q NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true p3DvmcsqP6xMf NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true poE6hx8xV36vG NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true pq2i0NL1cRlR3CpAj082 NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true q6iS3txi22Rj22Ks4Dd NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true woiNv162mnSJ NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
+NULL 1969-12-31 16:00:15.892 8 true x6WK1U14M7IlWw NULL NULL NULL NULL NULL NULL NULL NULL NULL NULL
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_11.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_11.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_11.q.out
new file mode 100644
index 0000000..fb3707b
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_11.q.out
@@ -0,0 +1,173 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cboolean1,
+ cdouble,
+ ctimestamp1,
+ (-3728 * csmallint),
+ (cdouble - 9763215.5639),
+ (-(cdouble)),
+ ((-(cdouble)) + 6981),
+ (cdouble * -5638.15)
+FROM alltypesparquet
+WHERE ((cstring2 = cstring1)
+ OR ((ctimestamp1 IS NULL)
+ AND (cstring1 LIKE '%a')))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cstring1,
+ cboolean1,
+ cdouble,
+ ctimestamp1,
+ (-3728 * csmallint),
+ (cdouble - 9763215.5639),
+ (-(cdouble)),
+ ((-(cdouble)) + 6981),
+ (cdouble * -5638.15)
+FROM alltypesparquet
+WHERE ((cstring2 = cstring1)
+ OR ((ctimestamp1 IS NULL)
+ AND (cstring1 LIKE '%a')))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterStringGroupColEqualStringGroupColumn(col 7:string, col 6:string), FilterExprAndExpr(children: SelectColumnIsNull(col 8:timestamp), FilterStringColLikeStringScalar(col 6:string, pattern %a)))
+ predicate: ((cstring2 = cstring1) or (ctimestamp1 is null and (cstring1 like '%a'))) (type: boolean)
+ Statistics: Num rows: 9216 Data size: 110592 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cstring1 (type: string), cboolean1 (type: boolean), cdouble (type: double), ctimestamp1 (type: timestamp), (-3728 * UDFToInteger(csmallint)) (type: int), (cdouble - 9763215.5639) (type: double), (- cdouble) (type: double), ((- cdouble) + 6981.0) (type: double), (cdouble * -5638.15) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [6, 10, 5, 8, 13, 14, 15, 17, 16]
+ selectExpressions: LongScalarMultiplyLongColumn(val -3728, col 1:int)(children: col 1:smallint) -> 13:int, DoubleColSubtractDoubleScalar(col 5:double, val 9763215.5639) -> 14:double, DoubleColUnaryMinus(col 5:double) -> 15:double, DoubleColAddDoubleScalar(col 16:double, val 6981.0)(children: DoubleColUnaryMinus(col 5:double) -> 16:double) -> 17:double, DoubleColMultiplyDoubleScalar(col 5:double, val -5638.15) -> 16:double
+ Statistics: Num rows: 9216 Data size: 110592 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 9216 Data size: 110592 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [1, 5, 6, 7, 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, double, double, double, double]
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cstring1,
+ cboolean1,
+ cdouble,
+ ctimestamp1,
+ (-3728 * csmallint),
+ (cdouble - 9763215.5639),
+ (-(cdouble)),
+ ((-(cdouble)) + 6981),
+ (cdouble * -5638.15)
+FROM alltypesparquet
+WHERE ((cstring2 = cstring1)
+ OR ((ctimestamp1 IS NULL)
+ AND (cstring1 LIKE '%a')))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cstring1,
+ cboolean1,
+ cdouble,
+ ctimestamp1,
+ (-3728 * csmallint),
+ (cdouble - 9763215.5639),
+ (-(cdouble)),
+ ((-(cdouble)) + 6981),
+ (cdouble * -5638.15)
+FROM alltypesparquet
+WHERE ((cstring2 = cstring1)
+ OR ((ctimestamp1 IS NULL)
+ AND (cstring1 LIKE '%a')))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
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[02/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_div0.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_div0.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_div0.q.out
new file mode 100644
index 0000000..5ba7587
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_div0.q.out
@@ -0,0 +1,608 @@
+PREHOOK: query: explain vectorization expression
+select cdouble / 0.0 from alltypesparquet limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select cdouble / 0.0 from alltypesparquet 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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Select Operator
+ expressions: (cdouble / 0.0) (type: double)
+ outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [13]
+ selectExpressions: DoubleColDivideDoubleScalar(col 5:double, val 0.0) -> 13:double
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 100 Data size: 1200 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 100 Data size: 1200 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 100
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select cdouble / 0.0 from alltypesparquet limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select cdouble / 0.0 from alltypesparquet limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+NULL
+PREHOOK: query: explain vectorization expression
+select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / (cbigint - 988888L)
+from alltypesparquet where cbigint > 0 and cbigint < 100000000 order by s1, s2 limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / (cbigint - 988888L)
+from alltypesparquet where cbigint > 0 and cbigint < 100000000 order by s1, s2 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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColGreaterLongScalar(col 3:bigint, val 0), FilterLongColLessLongScalar(col 3:bigint, val 100000000))
+ predicate: ((cbigint < 100000000) and (cbigint > 0)) (type: boolean)
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: (cbigint - 988888) (type: bigint), (cdouble / UDFToDouble((cbigint - 988888))) (type: double), (1.2 / CAST( (cbigint - 988888) AS decimal(19,0))) (type: decimal(22,21))
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [13, 16, 18]
+ selectExpressions: LongColSubtractLongScalar(col 3:bigint, val 988888) -> 13:bigint, DoubleColDivideDoubleColumn(col 5:double, col 15:double)(children: CastLongToDouble(col 14:bigint)(children: LongColSubtractLongScalar(col 3:bigint, val 988888) -> 14:bigint) -> 15:double) -> 16:double, DecimalScalarDivideDecimalColumn(val 1.2, col 17:decimal(19,0))(children: CastLongToDecimal(col 14:bigint)(children: LongColSubtractLongScalar(col 3:bigint, val 988888) -> 14:bigint) -> 17:decimal(19,0)) -> 18:decimal(22,21)
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: bigint), _col1 (type: double)
+ 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: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col2 (type: decimal(22,21))
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: true
+ 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:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: bigint), KEY.reducesinkkey1 (type: double), VALUE._col0 (type: decimal(22,21))
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 100 Data size: 1200 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 100 Data size: 1200 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 100
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / (cbigint - 988888L)
+from alltypesparquet where cbigint > 0 and cbigint < 100000000 order by s1, s2 limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select (cbigint - 988888L) as s1, cdouble / (cbigint - 988888L) as s2, 1.2 / (cbigint - 988888L)
+from alltypesparquet where cbigint > 0 and cbigint < 100000000 order by s1, s2 limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-985319 NULL -0.000001217879691754650
+-985319 2.0297994862577501E-4 -0.000001217879691754650
+-63925 0.11256941728588189 -0.000018771998435666797
+0 NULL NULL
+0 NULL NULL
+0 NULL NULL
+0 NULL NULL
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+3533105 -5.660743170667161E-5 0.000000339644590240030
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+28806400 -6.9429015774272385E-6 0.000000041657409464563
+29920877 5.214085135271938E-4 0.000000040105776311303
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+35156265 NULL 0.000000034133318769784
+35862260 NULL 0.000000033461360215447
+36123797 -1.992038655294182E-4 0.000000033219099310075
+36341671 -1.980096072082101E-4 0.000000033019945615599
+36413215 -5.4925114412446145E-6 0.000000032955068647468
+36578596 4.2650625518814335E-4 0.000000032806070522772
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+41158231 3.790493328053871E-4 0.000000029155772025285
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+44047567 -1.633688416888043E-4 0.000000027243275434487
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+45180154 NULL 0.000000026560334433566
+45717793 3.4124569399052136E-4 0.000000026247986205283
+46163162 NULL 0.000000025994753132379
+46525838 3.353190543284787E-4 0.000000025792120068853
+48626663 NULL 0.000000024677819244969
+49102701 -1.465499830650864E-4 0.000000024438574163161
+50300445 -1.4306036457530346E-4 0.000000023856647789100
+50929325 -1.412938420055636E-4 0.000000023562063702984
+52422534 -1.3726921327381848E-4 0.000000022890919389742
+52667422 2.9621727070673783E-4 0.000000022784483356713
+52962061 2.945693522010029E-4 0.000000022657728520044
+53695172 NULL 0.000000022348377988248
+54760317 NULL 0.000000021913678841560
+55020655 2.835480602693661E-4 0.000000021809991175132
+56102034 NULL 0.000000021389598815615
+56131313 NULL 0.000000021378441655195
+56838351 -3.5187509222426247E-6 0.000000021112505533456
+56997841 -3.5089048372902406E-6 0.000000021053429023741
+57778807 -1.2454393528755274E-4 0.000000020768860803928
+58080381 NULL 0.000000020661021490200
+58307527 NULL 0.000000020580533281749
+58536385 -1.2293208745295768E-4 0.000000020500070170032
+59347745 NULL 0.000000020219807846111
+60229567 NULL 0.000000019923769334088
+60330397 NULL 0.000000019890470801974
+PREHOOK: query: explain vectorization expression
+select (cdouble + 200.0) as s1, cbigint / (cdouble + 200.0) as s2, (cdouble + 200.0) / (cdouble + 200.0), cbigint / (cdouble + 200.0), 3 / (cdouble + 200.0), 1.2 / (cdouble + 200.0)
+from alltypesparquet where cdouble >= -500 and cdouble < -199 order by s1, s2 limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select (cdouble + 200.0) as s1, cbigint / (cdouble + 200.0) as s2, (cdouble + 200.0) / (cdouble + 200.0), cbigint / (cdouble + 200.0), 3 / (cdouble + 200.0), 1.2 / (cdouble + 200.0)
+from alltypesparquet where cdouble >= -500 and cdouble < -199 order by s1, s2 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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterDoubleColGreaterEqualDoubleScalar(col 5:double, val -500.0), FilterDoubleColLessDoubleScalar(col 5:double, val -199.0))
+ predicate: ((cdouble < -199.0) and (cdouble >= -500.0)) (type: boolean)
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: (cdouble + 200.0) (type: double), (UDFToDouble(cbigint) / (cdouble + 200.0)) (type: double), ((cdouble + 200.0) / (cdouble + 200.0)) (type: double), (3.0 / (cdouble + 200.0)) (type: double), (1.2 / (cdouble + 200.0)) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [13, 16, 17, 15, 18]
+ selectExpressions: DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 13:double, DoubleColDivideDoubleColumn(col 14:double, col 15:double)(children: CastLongToDouble(col 3:bigint) -> 14:double, DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 15:double) -> 16:double, DoubleColDivideDoubleColumn(col 14:double, col 15:double)(children: DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 14:double, DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 15:double) -> 17:double, DoubleScalarDivideDoubleColumn(val 3.0, col 14:double)(children: DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 14:double) -> 15:double, DoubleScalarDivideDoubleColumn(val 1.2, col 14:double)(children: DoubleColAddDoubleScalar(col 5:double, val 200.0) -> 14:double) -> 18:double
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double), _col1 (type: double)
+ 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: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col2 (type: double), _col4 (type: double), _col5 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: true
+ 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:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: double), KEY.reducesinkkey1 (type: double), VALUE._col0 (type: double), KEY.reducesinkkey1 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 1, 3, 4]
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 100
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 100 Data size: 1200 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 100 Data size: 1200 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 100
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select (cdouble + 200.0) as s1, cbigint / (cdouble + 200.0) as s2, (cdouble + 200.0) / (cdouble + 200.0), cbigint / (cdouble + 200.0), 3 / (cdouble + 200.0), 1.2 / (cdouble + 200.0)
+from alltypesparquet where cdouble >= -500 and cdouble < -199 order by s1, s2 limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select (cdouble + 200.0) as s1, cbigint / (cdouble + 200.0) as s2, (cdouble + 200.0) / (cdouble + 200.0), cbigint / (cdouble + 200.0), 3 / (cdouble + 200.0), 1.2 / (cdouble + 200.0)
+from alltypesparquet where cdouble >= -500 and cdouble < -199 order by s1, s2 limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-292.0 NULL 1.0 NULL -0.010273972602739725 -0.00410958904109589
+-290.0 NULL 1.0 NULL -0.010344827586206896 -0.004137931034482759
+-289.0 NULL 1.0 NULL -0.010380622837370242 -0.004152249134948096
+-281.0 NULL 1.0 NULL -0.010676156583629894 -0.004270462633451957
+-279.0 NULL 1.0 NULL -0.010752688172043012 -0.004301075268817204
+-274.0 6888911.518248175 1.0 6888911.518248175 -0.010948905109489052 -0.00437956204379562
+-273.0 6028764.868131869 1.0 6028764.868131869 -0.01098901098901099 -0.004395604395604396
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+-250.0 6583411.236 1.0 6583411.236 -0.012 -0.0048
+-247.0 NULL 1.0 NULL -0.012145748987854251 -0.004858299595141701
+-247.0 -7546669.174089069 1.0 -7546669.174089069 -0.012145748987854251 -0.004858299595141701
+-246.0 NULL 1.0 NULL -0.012195121951219513 -0.004878048780487805
+-237.0 NULL 1.0 NULL -0.012658227848101266 -0.005063291139240506
+-236.0 NULL 1.0 NULL -0.012711864406779662 -0.005084745762711864
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+-228.0 8278779.631578947 1.0 8278779.631578947 -0.013157894736842105 -0.005263157894736842
+-225.0 NULL 1.0 NULL -0.013333333333333334 -0.005333333333333333
+-210.0 -8876320.40952381 1.0 -8876320.40952381 -0.014285714285714285 -0.005714285714285714
+-201.0 NULL 1.0 NULL -0.014925373134328358 -0.005970149253731343
+-199.0 NULL 1.0 NULL -0.01507537688442211 -0.006030150753768844
+-189.0 NULL 1.0 NULL -0.015873015873015872 -0.006349206349206349
+-188.0 NULL 1.0 NULL -0.015957446808510637 -0.006382978723404255
+-184.0 8944852.222826088 1.0 8944852.222826088 -0.016304347826086956 -0.006521739130434782
+-183.0 8993731.196721312 1.0 8993731.196721312 -0.01639344262295082 -0.006557377049180328
+-181.0 NULL 1.0 NULL -0.016574585635359115 -0.0066298342541436465
+-179.0 NULL 1.0 NULL -0.01675977653631285 -0.0067039106145251395
+-169.0 9738774.01775148 1.0 9738774.01775148 -0.01775147928994083 -0.007100591715976331
+-164.0 NULL 1.0 NULL -0.018292682926829267 -0.007317073170731707
+-161.0 NULL 1.0 NULL -0.018633540372670808 -0.007453416149068323
+-154.0 1.2256894519480519E7 1.0 1.2256894519480519E7 -0.01948051948051948 -0.007792207792207792
+-152.0 NULL 1.0 NULL -0.019736842105263157 -0.007894736842105263
+-148.0 NULL 1.0 NULL -0.02027027027027027 -0.008108108108108109
+-140.0 NULL 1.0 NULL -0.02142857142857143 -0.008571428571428572
+-138.0 NULL 1.0 NULL -0.021739130434782608 -0.008695652173913044
+-137.0 NULL 1.0 NULL -0.021897810218978103 -0.00875912408759124
+-132.0 NULL 1.0 NULL -0.022727272727272728 -0.00909090909090909
+-129.0 1.2758548906976745E7 1.0 1.2758548906976745E7 -0.023255813953488372 -0.009302325581395349
+-128.0 NULL 1.0 NULL -0.0234375 -0.009375
+-126.0 NULL 1.0 NULL -0.023809523809523808 -0.009523809523809523
+-126.0 -1.4793867349206349E7 1.0 -1.4793867349206349E7 -0.023809523809523808 -0.009523809523809523
+-116.0 NULL 1.0 NULL -0.02586206896551724 -0.010344827586206896
+-113.0 NULL 1.0 NULL -0.02654867256637168 -0.010619469026548672
+-113.0 -1.6495816690265486E7 1.0 -1.6495816690265486E7 -0.02654867256637168 -0.010619469026548672
+-96.0 NULL 1.0 NULL -0.03125 -0.012499999999999999
+-94.0 -1.9830077510638297E7 1.0 -1.9830077510638297E7 -0.031914893617021274 -0.01276595744680851
+-93.0 NULL 1.0 NULL -0.03225806451612903 -0.012903225806451613
+-77.0 2.4513789038961038E7 1.0 2.4513789038961038E7 -0.03896103896103896 -0.015584415584415584
+-69.0 2.735596747826087E7 1.0 2.735596747826087E7 -0.043478260869565216 -0.017391304347826087
+-62.0 NULL 1.0 NULL -0.04838709677419355 -0.01935483870967742
+-62.0 3.0444544451612905E7 1.0 3.0444544451612905E7 -0.04838709677419355 -0.01935483870967742
+-60.0 NULL 1.0 NULL -0.05 -0.02
+-57.0 -3.27022330877193E7 1.0 -3.27022330877193E7 -0.05263157894736842 -0.021052631578947368
+-49.0 3.35888328367347E7 1.0 3.35888328367347E7 -0.061224489795918366 -0.024489795918367346
+-46.0 3.577940889130435E7 1.0 3.577940889130435E7 -0.06521739130434782 -0.02608695652173913
+-38.0 4.3311916026315786E7 1.0 4.3311916026315786E7 -0.07894736842105263 -0.031578947368421054
+-28.0 5.878045746428572E7 1.0 5.878045746428572E7 -0.10714285714285714 -0.04285714285714286
+-28.0 6.741291985714285E7 1.0 6.741291985714285E7 -0.10714285714285714 -0.04285714285714286
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+-20.0 NULL 1.0 NULL -0.15 -0.06
+-17.0 NULL 1.0 NULL -0.17647058823529413 -0.07058823529411765
+-12.0 -1.5533560716666666E8 1.0 -1.5533560716666666E8 -0.25 -0.09999999999999999
+-3.0 NULL 1.0 NULL -1.0 -0.39999999999999997
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
+0.0 NULL NULL NULL NULL NULL
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_limit.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_limit.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_limit.q.out
new file mode 100644
index 0000000..ca696ab
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_limit.q.out
@@ -0,0 +1,932 @@
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: explain vectorization SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 7
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 7
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: ((UDFToDouble(cbigint) < cdouble) and (cint > 0)) (type: boolean)
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cbigint (type: bigint), cdouble (type: double)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 7
+ Statistics: Num rows: 7 Data size: 84 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 7 Data size: 84 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 7
+ Processor Tree:
+ ListSink
+
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 7
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 7
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1887561756 -10011.0
+-1887561756 -13877.0
+-1887561756 -2281.0
+-1887561756 -8881.0
+-1887561756 10361.0
+-1887561756 1839.0
+-1887561756 9531.0
+PREHOOK: query: explain vectorization detail
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 20
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:tinyint)
+ predicate: ctinyint is not null (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cdouble (type: double), csmallint (type: smallint)
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 1]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint), _col1 (type: double)
+ sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0, 5]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [1]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.3
+ value expressions: _col2 (type: smallint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 5]
+ 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: []
+ 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
+ reduceColumnNullOrder: aa
+ reduceColumnSortOrder: ++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 3
+ dataColumns: KEY.reducesinkkey0:tinyint, KEY.reducesinkkey1:double, VALUE._col0:smallint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: double), VALUE._col0 (type: smallint)
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-64 -10462.0 -10462
+-64 -15920.0 -15920
+-64 -1600.0 -1600
+-64 -200.0 -200
+-64 -2919.0 -2919
+-64 -3097.0 -3097
+-64 -3586.0 -3586
+-64 -4018.0 -4018
+-64 -4040.0 -4040
+-64 -4803.0 -4803
+-64 -6907.0 -6907
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -8080.0 -8080
+-64 -9842.0 -9842
+PREHOOK: query: explain vectorization detail
+select ctinyint,avg(cdouble + 1) from alltypesparquet group by ctinyint order by ctinyint limit 20
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select ctinyint,avg(cdouble + 1) from alltypesparquet group by ctinyint order by ctinyint limit 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP PARTITION-LEVEL SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: ctinyint (type: tinyint), (cdouble + 1.0) (type: double)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 13]
+ selectExpressions: DoubleColAddDoubleScalar(col 5:double, val 1.0) -> 13:double
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFAvgDouble(col 13:double) -> struct<count:bigint,sum:double,input:double>
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:tinyint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: _col0 (type: tinyint)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: tinyint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ partitionColumnNums: [0]
+ valueColumnNums: [1]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.3
+ value expressions: _col1 (type: struct<count:bigint,sum:double,input:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 5]
+ 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: [double]
+ 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
+ reduceColumnNullOrder: a
+ reduceColumnSortOrder: +
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 2
+ dataColumns: KEY._col0:tinyint, VALUE._col0:struct<count:bigint,sum:double,input:double>
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: avg(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFAvgFinal(col 1:struct<count:bigint,sum:double,input:double>) -> double
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:tinyint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
+ keys: KEY._col0 (type: tinyint)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select ctinyint,avg(cdouble + 1) from alltypesparquet group by ctinyint order by ctinyint limit 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select ctinyint,avg(cdouble + 1) from alltypesparquet group by ctinyint order by ctinyint limit 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-46 3033.55
+-47 -574.6428571428571
+-48 1672.909090909091
+-49 768.7659574468086
+-50 -960.0192307692307
+-51 -96.46341463414635
+-52 2810.705882352941
+-53 -532.7567567567568
+-54 2712.7272727272725
+-55 2385.595744680851
+-56 2595.818181818182
+-57 1867.0535714285713
+-58 3483.2444444444445
+-59 318.27272727272725
+-60 1071.82
+-61 914.3404255319149
+-62 245.69387755102042
+-63 2178.7272727272725
+-64 373.52941176470586
+NULL 9370.0945309795
+PREHOOK: query: explain vectorization detail
+select distinct(ctinyint) from alltypesparquet limit 20
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select distinct(ctinyint) from alltypesparquet limit 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 2)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: ctinyint (type: tinyint)
+ outputColumnNames: ctinyint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:tinyint
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
+ keys: ctinyint (type: tinyint)
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: tinyint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkLongOperator
+ keyColumnNums: [0]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: []
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.3
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0]
+ 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: []
+ 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
+ reduceColumnNullOrder: a
+ reduceColumnSortOrder: +
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 1
+ dataColumns: KEY._col0:tinyint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:tinyint
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
+ keys: KEY._col0 (type: tinyint)
+ mode: mergepartial
+ outputColumnNames: _col0
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select distinct(ctinyint) from alltypesparquet limit 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select distinct(ctinyint) from alltypesparquet limit 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-46
+-47
+-48
+-49
+-50
+-51
+-52
+-53
+-54
+-55
+-56
+-57
+-58
+-59
+-60
+-61
+-62
+-63
+-64
+NULL
+PREHOOK: query: explain vectorization detail
+select ctinyint, count(distinct(cdouble)) from alltypesparquet group by ctinyint order by ctinyint limit 20
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select ctinyint, count(distinct(cdouble)) from alltypesparquet group by ctinyint order by ctinyint limit 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP PARTITION-LEVEL SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: ctinyint (type: tinyint), cdouble (type: double)
+ outputColumnNames: ctinyint, cdouble
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 0:tinyint, col 5:double
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: []
+ keys: ctinyint (type: tinyint), cdouble (type: double)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint), _col1 (type: double)
+ sort order: ++
+ Map-reduce partition columns: _col0 (type: tinyint)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0, 1]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ partitionColumnNums: [0]
+ valueColumnNums: []
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 5]
+ 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: []
+ 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
+ reduceColumnNullOrder: aa
+ reduceColumnSortOrder: ++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 2
+ dataColumns: KEY._col0:tinyint, KEY._col1:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ Group By Vectorization:
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ keyExpressions: col 0:tinyint, col 1:double
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: []
+ keys: KEY._col0 (type: tinyint), KEY._col1 (type: double)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(_col1)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 1:double) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: COMPLETE
+ keyExpressions: col 0:tinyint
+ native: false
+ vectorProcessingMode: STREAMING
+ projectedOutputColumnNums: [0]
+ keys: _col0 (type: tinyint)
+ mode: complete
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 3072 Data size: 36864 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select ctinyint, count(distinct(cdouble)) from alltypesparquet group by ctinyint order by ctinyint limit 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select ctinyint, count(distinct(cdouble)) from alltypesparquet group by ctinyint order by ctinyint limit 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-46 24
+-47 22
+-48 29
+-49 26
+-50 30
+-51 21
+-52 33
+-53 22
+-54 26
+-55 29
+-56 36
+-57 35
+-58 23
+-59 31
+-60 27
+-61 25
+-62 27
+-63 19
+-64 24
+NULL 2932
+PREHOOK: query: explain vectorization detail
+select ctinyint,cdouble from alltypesparquet order by ctinyint limit 0
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select ctinyint,cdouble from alltypesparquet order by ctinyint limit 0
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-0 is a root stage
+
+STAGE PLANS:
+ Stage: Stage-0
+ Fetch Operator
+ limit: 0
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select ctinyint,cdouble from alltypesparquet order by ctinyint limit 0
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select ctinyint,cdouble from alltypesparquet order by ctinyint limit 0
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+PREHOOK: query: explain vectorization detail
+select cdouble, sum(ctinyint) as sum from alltypesparquet where ctinyint is not null group by cdouble order by sum, cdouble limit 20
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization detail
+select cdouble, sum(ctinyint) as sum from alltypesparquet where ctinyint is not null group by cdouble order by sum, cdouble limit 20
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 2)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:tinyint)
+ predicate: ctinyint is not null (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 0:tinyint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:double
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0]
+ keys: cdouble (type: double)
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: double)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkMultiKeyOperator
+ keyColumnNums: [0]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [1]
+ Statistics: Num rows: 12288 Data size: 147456 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: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 5]
+ 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: []
+ 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
+ reduceColumnNullOrder: a
+ reduceColumnSortOrder: +
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 2
+ dataColumns: KEY._col0:double, VALUE._col0:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ 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:double
+ native: false
+ vectorProcessingMode: MERGE_PARTIAL
+ projectedOutputColumnNums: [0]
+ keys: KEY._col0 (type: double)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col1 (type: bigint), _col0 (type: double)
+ sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [1, 0]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: []
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.3
+ 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
+ reduceColumnNullOrder: aa
+ reduceColumnSortOrder: ++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 2
+ dataColumns: KEY.reducesinkkey0:bigint, KEY.reducesinkkey1:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey1 (type: double), KEY.reducesinkkey0 (type: bigint)
+ outputColumnNames: _col0, _col1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [1, 0]
+ Statistics: Num rows: 6144 Data size: 73728 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 20
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Statistics: Num rows: 20 Data size: 240 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 20 Data size: 240 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 20
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select cdouble, sum(ctinyint) as sum from alltypesparquet where ctinyint is not null group by cdouble order by sum, cdouble limit 20
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select cdouble, sum(ctinyint) as sum from alltypesparquet where ctinyint is not null group by cdouble order by sum, cdouble limit 20
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-10462.0 -64
+-1121.0 -89
+-11322.0 -101
+-11492.0 -78
+-15920.0 -64
+-4803.0 -64
+-6907.0 -64
+-7196.0 -2009
+-8080.0 -64
+-8118.0 -80
+-9842.0 -64
+10496.0 -67
+15601.0 -1733
+3520.0 -86
+4811.0 -115
+5241.0 -80
+557.0 -75
+7705.0 -88
+9452.0 -76
+NULL -32768
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_nested_udf.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_nested_udf.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_nested_udf.q.out
new file mode 100644
index 0000000..acac581
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_nested_udf.q.out
@@ -0,0 +1,9 @@
+PREHOOK: query: SELECT SUM(abs(ctinyint)) from alltypesparquet
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT SUM(abs(ctinyint)) from alltypesparquet
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+261468
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_not.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_not.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_not.q.out
new file mode 100644
index 0000000..e581007
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_not.q.out
@@ -0,0 +1,58 @@
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (NOT(cbigint >= cdouble))))
+ OR ((ctinyint >= csmallint)
+ AND (NOT ((cboolean2 != 1)
+ OR (3569 != ctinyint)))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (NOT(cbigint >= cdouble))))
+ OR ((ctinyint >= csmallint)
+ AND (NOT ((cboolean2 != 1)
+ OR (3569 != ctinyint)))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-3.875652215945533E8 3.875652215945533E8 -3.875716535945533E8 1.436387455459401E9 3.875716535945533E8 0.0 2.06347151720204902E18 3.875716535945533E8 3.875652215945533E8 3.875716535945533E8 1.0 10934 -37224.52399241924 1.0517370547117279E9 -2.06347151720204902E18 1.5020929380914048E17 -64 64
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_offset_limit.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_offset_limit.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_offset_limit.q.out
new file mode 100644
index 0000000..e90cff4
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_offset_limit.q.out
@@ -0,0 +1,184 @@
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: explain vectorization SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 3,2
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 3,2
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: ((UDFToDouble(cbigint) < cdouble) and (cint > 0)) (type: boolean)
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cbigint (type: bigint), cdouble (type: double)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 2
+ Offset of rows: 3
+ Statistics: Num rows: 2 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 2 Data size: 24 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
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 2
+ Processor Tree:
+ ListSink
+
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 3,2
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cbigint, cdouble FROM alltypesparquet WHERE cbigint < cdouble and cint > 0 limit 3,2
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1887561756 10361.0
+-1887561756 -8881.0
+PREHOOK: query: explain vectorization expression
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 10,3
+PREHOOK: type: QUERY
+POSTHOOK: query: explain vectorization expression
+select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 10,3
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: SelectColumnIsNotNull(col 0:tinyint)
+ predicate: ctinyint is not null (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cdouble (type: double), csmallint (type: smallint)
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 5, 1]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint), _col1 (type: double)
+ 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: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col2 (type: smallint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: true
+ 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:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: tinyint), KEY.reducesinkkey1 (type: double), VALUE._col0 (type: smallint)
+ outputColumnNames: _col0, _col1, _col2
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 3
+ Limit Vectorization:
+ className: VectorLimitOperator
+ native: true
+ Offset of rows: 10
+ Statistics: Num rows: 3 Data size: 36 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 3 Data size: 36 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 3
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 10,3
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: select ctinyint,cdouble,csmallint from alltypesparquet where ctinyint is not null order by ctinyint,cdouble limit 10,3
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-64 -7196.0 -7196
+-64 -7196.0 -7196
+-64 -7196.0 -7196
[07/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_17.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_17.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_17.q.out
new file mode 100644
index 0000000..a5ef4ae
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_17.q.out
@@ -0,0 +1,560 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cfloat,
+ cstring1,
+ cint,
+ ctimestamp1,
+ cdouble,
+ cbigint,
+ (cfloat / ctinyint),
+ (cint % cbigint),
+ (-(cdouble)),
+ (cdouble + (cfloat / ctinyint)),
+ (cdouble / cint),
+ (-((-(cdouble)))),
+ (9763215.5639 % cbigint),
+ (2563.58 + (-((-(cdouble)))))
+FROM alltypesparquet
+WHERE (((cbigint > -23)
+ AND ((cdouble != 988888)
+ OR (cint > -863.257)))
+ AND ((ctinyint >= 33)
+ OR ((csmallint >= cbigint)
+ OR (cfloat = cdouble))))
+ORDER BY cbigint, cfloat
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cfloat,
+ cstring1,
+ cint,
+ ctimestamp1,
+ cdouble,
+ cbigint,
+ (cfloat / ctinyint),
+ (cint % cbigint),
+ (-(cdouble)),
+ (cdouble + (cfloat / ctinyint)),
+ (cdouble / cint),
+ (-((-(cdouble)))),
+ (9763215.5639 % cbigint),
+ (2563.58 + (-((-(cdouble)))))
+FROM alltypesparquet
+WHERE (((cbigint > -23)
+ AND ((cdouble != 988888)
+ OR (cint > -863.257)))
+ AND ((ctinyint >= 33)
+ OR ((csmallint >= cbigint)
+ OR (cfloat = cdouble))))
+ORDER BY cbigint, cfloat
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColGreaterLongScalar(col 3:bigint, val -23), FilterExprOrExpr(children: FilterDoubleColNotEqualDoubleScalar(col 5:double, val 988888.0), FilterDecimalColGreaterDecimalScalar(col 13:decimal(13,3), val -863.257)(children: CastLongToDecimal(col 2:int) -> 13:decimal(13,3))), FilterExprOrExpr(children: FilterLongColGreaterEqualLongScalar(col 0:tinyint, val 33), FilterLongColGreaterEqualLongColumn(col 1:bigint, col 3:bigint)(children: col 1:smallint), FilterDoubleColEqualDoubleColumn(col 4:double, col 5:double)(children: col 4:float)))
+ predicate: (((cdouble <> 988888.0) or (CAST( cint AS decimal(13,3)) > -863.257)) and ((ctinyint >= 33) or (UDFToLong(csmallint) >= cbigint) or (UDFToDouble(cfloat) = cdouble)) and (cbigint > -23)) (type: boolean)
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cfloat (type: float), cstring1 (type: string), cint (type: int), ctimestamp1 (type: timestamp), cdouble (type: double), cbigint (type: bigint), (UDFToDouble(cfloat) / UDFToDouble(ctinyint)) (type: double), (UDFToLong(cint) % cbigint) (type: bigint), (- cdouble) (type: double), (cdouble + (UDFToDouble(cfloat) / UDFToDouble(ctinyint))) (type: double), (cdouble / UDFToDouble(cint)) (type: double), (- (- cdouble)) (type: double), (9763215.5639 % CAST( cbigint AS decimal(19,0))) (type: decimal(11,4)), (2563.58 + (- (- cdouble))) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 6, 2, 8, 5, 3, 15, 16, 14, 17, 19, 20, 22, 18]
+ selectExpressions: DoubleColDivideDoubleColumn(col 4:double, col 14:double)(children: col 4:float, CastLongToDouble(col 0:tinyint) -> 14:double) -> 15:double, LongColModuloLongColumn(col 2:bigint, col 3:bigint)(children: col 2:int) -> 16:bigint, DoubleColUnaryMinus(col 5:double) -> 14:double, DoubleColAddDoubleColumn(col 5:double, col 18:double)(children: DoubleColDivideDoubleColumn(col 4:double, col 17:double)(children: col 4:float, CastLongToDouble(col 0:tinyint) -> 17:double) -> 18:double) -> 17:double, DoubleColDivideDoubleColumn(col 5:double, col 18:double)(children: CastLongToDouble(col 2:int) -> 18:double) -> 19:double, DoubleColUnaryMinus(col 18:double)(children: DoubleColUnaryMinus(col 5:double) -> 18:double) -> 20:double, DecimalScalarModuloDecimalColumn(val 9763215.5639, col 21:decimal(19,0))(children: CastLongToDecimal(col 3:bigint) -> 21:decimal(19,0)) -> 22:decimal(11,4), DoubleScalarAddDoubleColumn(val 2563.58, col 23:double)(children: Double
ColUnaryMinus(col 18:double)(children: DoubleColUnaryMinus(col 5:double) -> 18:double) -> 23:double) -> 18:double
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col5 (type: bigint), _col0 (type: float)
+ sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [3, 4]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [6, 2, 8, 5, 15, 16, 14, 17, 19, 20, 22, 18]
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: string), _col2 (type: int), _col3 (type: timestamp), _col4 (type: double), _col6 (type: double), _col7 (type: bigint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: double), _col12 (type: decimal(11,4)), _col13 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: true
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 4, 5, 6, 8]
+ 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: [decimal(13,3), double, double, bigint, double, double, double, double, decimal(19,0), decimal(11,4), double]
+ 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
+ reduceColumnNullOrder: aa
+ reduceColumnSortOrder: ++
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 14
+ dataColumns: KEY.reducesinkkey0:bigint, KEY.reducesinkkey1:float, VALUE._col0:string, VALUE._col1:int, VALUE._col2:timestamp, VALUE._col3:double, VALUE._col4:double, VALUE._col5:bigint, VALUE._col6:double, VALUE._col7:double, VALUE._col8:double, VALUE._col9:double, VALUE._col10:decimal(11,4), VALUE._col11:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey1 (type: float), VALUE._col0 (type: string), VALUE._col1 (type: int), VALUE._col2 (type: timestamp), VALUE._col3 (type: double), KEY.reducesinkkey0 (type: bigint), VALUE._col4 (type: double), VALUE._col5 (type: bigint), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: double), VALUE._col9 (type: double), VALUE._col10 (type: decimal(11,4)), VALUE._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: [1, 2, 3, 4, 5, 0, 6, 7, 8, 9, 10, 11, 12, 13]
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 4096 Data size: 49152 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cfloat,
+ cstring1,
+ cint,
+ ctimestamp1,
+ cdouble,
+ cbigint,
+ (cfloat / ctinyint),
+ (cint % cbigint),
+ (-(cdouble)),
+ (cdouble + (cfloat / ctinyint)),
+ (cdouble / cint),
+ (-((-(cdouble)))),
+ (9763215.5639 % cbigint),
+ (2563.58 + (-((-(cdouble)))))
+FROM alltypesparquet
+WHERE (((cbigint > -23)
+ AND ((cdouble != 988888)
+ OR (cint > -863.257)))
+ AND ((ctinyint >= 33)
+ OR ((csmallint >= cbigint)
+ OR (cfloat = cdouble))))
+ORDER BY cbigint, cfloat
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cfloat,
+ cstring1,
+ cint,
+ ctimestamp1,
+ cdouble,
+ cbigint,
+ (cfloat / ctinyint),
+ (cint % cbigint),
+ (-(cdouble)),
+ (cdouble + (cfloat / ctinyint)),
+ (cdouble / cint),
+ (-((-(cdouble)))),
+ (9763215.5639 % cbigint),
+ (2563.58 + (-((-(cdouble)))))
+FROM alltypesparquet
+WHERE (((cbigint > -23)
+ AND ((cdouble != 988888)
+ OR (cint > -863.257)))
+ AND ((ctinyint >= 33)
+ OR ((csmallint >= cbigint)
+ OR (cfloat = cdouble))))
+ORDER BY cbigint, cfloat
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+33.0 NULL NULL 1969-12-31 15:59:45.163 -200.0 766974126 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+33.0 NULL NULL 1969-12-31 15:59:49.489 -200.0 1531926845 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+33.0 NULL NULL 1969-12-31 15:59:54.68 15601.0 2094164536 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+33.0 NULL NULL 1969-12-31 16:00:04.396 -7196.0 1409016642 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+33.0 NULL NULL 1969-12-31 16:00:04.631 15601.0 739625813 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+33.0 NULL NULL 1969-12-31 16:00:15.198 -200.0 29795288 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+33.0 NULL NULL 1969-12-31 16:00:15.99 -7196.0 1994545529 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+34.0 NULL NULL 1969-12-31 15:59:44.179 15601.0 1563271651 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+34.0 NULL NULL 1969-12-31 15:59:45.717 15601.0 1425488085 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+34.0 NULL NULL 1969-12-31 15:59:48.473 -200.0 144591485 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+34.0 NULL NULL 1969-12-31 15:59:53.981 -7196.0 131852675 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+34.0 NULL NULL 1969-12-31 15:59:54.145 -7196.0 9288869 1.0 NULL 7196.0 -7195.0 NULL -7196.0 474346.5639 -4632.42
+34.0 NULL NULL 1969-12-31 15:59:54.821 15601.0 1736691817 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+34.0 NULL NULL 1969-12-31 16:00:00.82 -7196.0 221369308 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+34.0 NULL NULL 1969-12-31 16:00:01.232 -200.0 1961389522 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+34.0 NULL NULL 1969-12-31 16:00:04.36 -7196.0 1412648789 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+34.0 NULL NULL 1969-12-31 16:00:07.045 15601.0 709756299 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+34.0 NULL NULL 1969-12-31 16:00:09.65 -200.0 1990585322 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+34.0 NULL NULL 1969-12-31 16:00:12.502 -7196.0 1539208529 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+34.0 NULL NULL 1969-12-31 16:00:13.955 15601.0 47514726 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+34.0 NULL NULL 1969-12-31 16:00:14.909 -200.0 26234080 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+35.0 NULL NULL 1969-12-31 15:59:48.022 -7196.0 523231898 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+35.0 NULL NULL 1969-12-31 15:59:50.803 15601.0 456583571 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+35.0 NULL NULL 1969-12-31 15:59:51.86 -7196.0 1667895530 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+35.0 NULL NULL 1969-12-31 15:59:51.882 -200.0 1045814182 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+35.0 NULL NULL 1969-12-31 16:00:00.546 -200.0 1537595879 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+35.0 NULL NULL 1969-12-31 16:00:00.9 -200.0 880598992 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+35.0 NULL NULL 1969-12-31 16:00:01.792 -7196.0 1587509603 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+35.0 NULL NULL 1969-12-31 16:00:05.007 15601.0 2123136080 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+35.0 NULL NULL 1969-12-31 16:00:07.613 -7196.0 2000277321 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+35.0 NULL NULL 1969-12-31 16:00:08.58 -200.0 1321091454 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+35.0 NULL NULL 1969-12-31 16:00:11.356 -7196.0 1004273023 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+35.0 NULL NULL 1969-12-31 16:00:14.084 -200.0 1974986508 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+36.0 NULL NULL 1969-12-31 15:59:46.019 -7196.0 1086107721 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+36.0 NULL NULL 1969-12-31 15:59:48.771 15601.0 503569096 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+36.0 NULL NULL 1969-12-31 15:59:55.218 15601.0 445347927 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+36.0 NULL NULL 1969-12-31 15:59:58.752 15601.0 4757615 1.0 NULL -15601.0 15602.0 NULL 15601.0 247985.5639 18164.58
+36.0 NULL NULL 1969-12-31 16:00:00.865 -7196.0 1613629130 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+36.0 NULL NULL 1969-12-31 16:00:05.234 15601.0 873370057 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+36.0 NULL NULL 1969-12-31 16:00:06.51 -7196.0 1141844958 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+36.0 NULL NULL 1969-12-31 16:00:07.504 -7196.0 787178337 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+36.0 NULL NULL 1969-12-31 16:00:10.467 -200.0 1284716338 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+37.0 NULL NULL 1969-12-31 15:59:45.102 -7196.0 106550057 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+37.0 NULL NULL 1969-12-31 15:59:51.566 -200.0 1829107401 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+37.0 NULL NULL 1969-12-31 15:59:52.832 15601.0 676613895 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+37.0 NULL NULL 1969-12-31 15:59:57.118 -200.0 248910079 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+37.0 NULL NULL 1969-12-31 15:59:58.129 -200.0 1838442362 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+37.0 NULL NULL 1969-12-31 16:00:01.979 15601.0 2144325818 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+37.0 NULL NULL 1969-12-31 16:00:05.356 -200.0 1248357837 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+37.0 NULL NULL 1969-12-31 16:00:08.692 -200.0 448909712 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+37.0 NULL NULL 1969-12-31 16:00:09.907 -200.0 1256255128 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+37.0 NULL NULL 1969-12-31 16:00:09.934 -200.0 1820006290 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+37.0 NULL NULL 1969-12-31 16:00:11.091 15601.0 398128194 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+37.0 NULL NULL 1969-12-31 16:00:11.309 15601.0 1251122304 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+37.0 NULL NULL 1969-12-31 16:00:12.712 15601.0 980331206 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+37.0 NULL NULL 1969-12-31 16:00:14.674 15601.0 1217409914 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+38.0 NULL NULL 1969-12-31 15:59:46.966 -7196.0 1030289173 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+38.0 NULL NULL 1969-12-31 15:59:48.017 -200.0 428518739 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+38.0 NULL NULL 1969-12-31 15:59:48.059 -7196.0 799787406 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+38.0 NULL NULL 1969-12-31 15:59:49.567 -200.0 1576772382 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+38.0 NULL NULL 1969-12-31 15:59:51.77 -200.0 835189885 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+38.0 NULL NULL 1969-12-31 15:59:53.592 -200.0 1922447714 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+38.0 NULL NULL 1969-12-31 15:59:53.834 15601.0 951445775 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+38.0 NULL NULL 1969-12-31 15:59:56.858 15601.0 954040345 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+38.0 NULL NULL 1969-12-31 15:59:57.048 -7196.0 806488245 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+38.0 NULL NULL 1969-12-31 15:59:58.015 15601.0 1202434039 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+38.0 NULL NULL 1969-12-31 16:00:05.29 -200.0 679959712 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+38.0 NULL NULL 1969-12-31 16:00:08.703 -200.0 1479847097 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+38.0 NULL NULL 1969-12-31 16:00:13.506 15601.0 1524423680 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+38.0 NULL NULL 1969-12-31 16:00:14.648 15601.0 1927566094 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+38.0 NULL NULL 1969-12-31 16:00:16.279 15601.0 299342203 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+39.0 NULL NULL 1969-12-31 15:59:45.218 15601.0 923495645 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+39.0 NULL NULL 1969-12-31 15:59:45.229 -200.0 1564077167 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+39.0 NULL NULL 1969-12-31 15:59:46.368 -200.0 112950540 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+39.0 NULL NULL 1969-12-31 15:59:47.616 15601.0 333745628 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+39.0 NULL NULL 1969-12-31 15:59:54.999 15601.0 2102419786 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+39.0 NULL NULL 1969-12-31 16:00:01.122 15601.0 345989051 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+39.0 NULL NULL 1969-12-31 16:00:02.804 -200.0 1368309884 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+39.0 NULL NULL 1969-12-31 16:00:06.149 -7196.0 2071577258 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+39.0 NULL NULL 1969-12-31 16:00:07.541 -200.0 260798405 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+39.0 NULL NULL 1969-12-31 16:00:09.365 15601.0 1210224988 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+39.0 NULL NULL 1969-12-31 16:00:10.575 15601.0 186460538 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+39.0 NULL NULL 1969-12-31 16:00:12.719 15601.0 581431028 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+39.0 NULL NULL 1969-12-31 16:00:15.146 -7196.0 1832892113 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+39.0 NULL NULL 1969-12-31 16:00:15.52 15601.0 1748908827 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+40.0 NULL NULL 1969-12-31 15:59:45.707 -200.0 183831674 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+40.0 NULL NULL 1969-12-31 15:59:48.045 15601.0 364112219 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+40.0 NULL NULL 1969-12-31 15:59:48.264 15601.0 2088429109 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+40.0 NULL NULL 1969-12-31 15:59:49.23 -7196.0 437984126 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+40.0 NULL NULL 1969-12-31 15:59:51.519 -200.0 1165114321 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+40.0 NULL NULL 1969-12-31 15:59:55.197 -200.0 1958187727 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+40.0 NULL NULL 1969-12-31 16:00:00.258 15601.0 472680102 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+40.0 NULL NULL 1969-12-31 16:00:01.356 -200.0 1778581609 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+40.0 NULL NULL 1969-12-31 16:00:06.346 -200.0 2068959120 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+40.0 NULL NULL 1969-12-31 16:00:14.565 15601.0 946637795 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+40.0 NULL NULL 1969-12-31 16:00:15.311 -7196.0 316847321 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+41.0 NULL NULL 1969-12-31 15:59:44.57 -7196.0 649072626 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+41.0 NULL NULL 1969-12-31 15:59:44.669 -7196.0 253244734 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+41.0 NULL NULL 1969-12-31 15:59:51.387 -200.0 689333315 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+41.0 NULL NULL 1969-12-31 15:59:56.691 -200.0 1642331517 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+41.0 NULL NULL 1969-12-31 16:00:00.123 15601.0 987132753 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+41.0 NULL NULL 1969-12-31 16:00:00.469 15601.0 439625822 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+41.0 NULL NULL 1969-12-31 16:00:01.424 -7196.0 1759398044 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+41.0 NULL NULL 1969-12-31 16:00:01.951 -200.0 2014322043 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+41.0 NULL NULL 1969-12-31 16:00:04.12 -200.0 1476633885 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+41.0 NULL NULL 1969-12-31 16:00:07.175 -200.0 1542568556 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+41.0 NULL NULL 1969-12-31 16:00:08.408 -200.0 696650264 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+41.0 NULL NULL 1969-12-31 16:00:08.418 -7196.0 791540035 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+41.0 NULL NULL 1969-12-31 16:00:14.017 15601.0 137074296 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+42.0 NULL NULL 1969-12-31 15:59:43.931 15601.0 509177858 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+42.0 NULL NULL 1969-12-31 15:59:45.686 15601.0 1273900453 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+42.0 NULL NULL 1969-12-31 15:59:48.292 -200.0 760034197 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+42.0 NULL NULL 1969-12-31 15:59:48.675 -7196.0 567300720 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+42.0 NULL NULL 1969-12-31 15:59:57.319 15601.0 1756904629 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+42.0 NULL NULL 1969-12-31 16:00:00.11 -200.0 1303413031 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+42.0 NULL NULL 1969-12-31 16:00:00.992 -7196.0 1644841467 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+42.0 NULL NULL 1969-12-31 16:00:05.092 -200.0 1057329243 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+42.0 NULL NULL 1969-12-31 16:00:07.179 -200.0 550015371 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+42.0 NULL NULL 1969-12-31 16:00:10.894 15601.0 1267863526 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+42.0 NULL NULL 1969-12-31 16:00:11.591 -7196.0 873176558 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+42.0 NULL NULL 1969-12-31 16:00:11.758 -7196.0 83253614 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+42.0 NULL NULL 1969-12-31 16:00:13.183 15601.0 1370965887 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+42.0 NULL NULL 1969-12-31 16:00:15.369 -200.0 942676094 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+43.0 NULL NULL 1969-12-31 15:59:45.546 -200.0 313484894 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+43.0 NULL NULL 1969-12-31 15:59:49.388 -7196.0 1840183062 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+43.0 NULL NULL 1969-12-31 15:59:50.893 -200.0 1796171294 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+43.0 NULL NULL 1969-12-31 15:59:52.311 15601.0 2113671499 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+43.0 NULL NULL 1969-12-31 15:59:58.65 -200.0 762545274 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+43.0 NULL NULL 1969-12-31 16:00:06.578 -200.0 548851592 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
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+55.0 NULL NULL 1969-12-31 16:00:10.601 -200.0 2004193196 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+55.0 NULL NULL 1969-12-31 16:00:14.709 -200.0 529159242 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+55.0 NULL NULL 1969-12-31 16:00:15.035 -200.0 180810790 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+56.0 NULL NULL 1969-12-31 15:59:44.707 -7196.0 350999879 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+56.0 NULL NULL 1969-12-31 15:59:45.198 -7196.0 131812689 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+56.0 NULL NULL 1969-12-31 15:59:57.56 -200.0 951463637 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+56.0 NULL NULL 1969-12-31 16:00:00.909 -7196.0 1421751268 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+56.0 NULL NULL 1969-12-31 16:00:09.452 -200.0 1024563527 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+57.0 NULL NULL 1969-12-31 15:59:45.591 -7196.0 1658221441 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+57.0 NULL NULL 1969-12-31 15:59:46.195 -7196.0 157777745 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+57.0 NULL NULL 1969-12-31 15:59:48.508 -200.0 1228278036 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+57.0 NULL NULL 1969-12-31 15:59:51.829 15601.0 560414150 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+57.0 NULL NULL 1969-12-31 15:59:57.154 -7196.0 1073635983 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+57.0 NULL NULL 1969-12-31 15:59:58.455 -200.0 735056642 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+57.0 NULL NULL 1969-12-31 16:00:00.363 -200.0 1330662545 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+57.0 NULL NULL 1969-12-31 16:00:01.811 -7196.0 1371995065 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+57.0 NULL NULL 1969-12-31 16:00:03.066 -200.0 1240619294 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+57.0 NULL NULL 1969-12-31 16:00:04.254 15601.0 761877407 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+57.0 NULL NULL 1969-12-31 16:00:07.361 -7196.0 418917539 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+57.0 NULL NULL 1969-12-31 16:00:07.907 -7196.0 1200709486 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+57.0 NULL NULL 1969-12-31 16:00:09.441 -7196.0 632897807 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+57.0 NULL NULL 1969-12-31 16:00:12.523 -7196.0 118933574 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+57.0 NULL NULL 1969-12-31 16:00:14.011 15601.0 1913333647 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+57.0 NULL NULL 1969-12-31 16:00:14.076 -200.0 1614623727 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+57.0 NULL NULL 1969-12-31 16:00:15.76 -7196.0 2018251685 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+58.0 NULL NULL 1969-12-31 15:59:45.489 -200.0 1300104054 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+58.0 NULL NULL 1969-12-31 15:59:46.056 15601.0 235428680 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+58.0 NULL NULL 1969-12-31 15:59:48.244 15601.0 805666814 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+58.0 NULL NULL 1969-12-31 15:59:56.527 15601.0 1575089695 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+58.0 NULL NULL 1969-12-31 16:00:12.924 15601.0 300682807 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+58.0 NULL NULL 1969-12-31 16:00:13.801 -200.0 1354169877 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+58.0 NULL NULL 1969-12-31 16:00:14.013 -7196.0 1864202979 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+59.0 NULL NULL 1969-12-31 15:59:44.549 -200.0 188494759 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+59.0 NULL NULL 1969-12-31 15:59:44.942 -7196.0 1482384994 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+59.0 NULL NULL 1969-12-31 15:59:45.08 15601.0 701594431 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+59.0 NULL NULL 1969-12-31 15:59:48.363 15601.0 2109726979 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+59.0 NULL NULL 1969-12-31 15:59:50.306 -200.0 771123694 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+59.0 NULL NULL 1969-12-31 15:59:51.265 15601.0 1762456014 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+59.0 NULL NULL 1969-12-31 15:59:51.675 -7196.0 887031443 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+59.0 NULL NULL 1969-12-31 16:00:00.551 -7196.0 854892886 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+59.0 NULL NULL 1969-12-31 16:00:00.738 -200.0 455272113 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+59.0 NULL NULL 1969-12-31 16:00:01.496 -200.0 1751846592 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+59.0 NULL NULL 1969-12-31 16:00:04.284 15601.0 1841882240 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+59.0 NULL NULL 1969-12-31 16:00:04.476 15601.0 617599316 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+59.0 NULL NULL 1969-12-31 16:00:05.13 -200.0 661665098 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+59.0 NULL NULL 1969-12-31 16:00:09.343 15601.0 850073759 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+59.0 NULL NULL 1969-12-31 16:00:12.325 15601.0 1786184100 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+59.0 NULL NULL 1969-12-31 16:00:15.05 15601.0 1129363554 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+60.0 NULL NULL 1969-12-31 15:59:46.085 15601.0 1428011023 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+60.0 NULL NULL 1969-12-31 15:59:48.771 -200.0 1026483347 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+60.0 NULL NULL 1969-12-31 15:59:51.342 -200.0 1981140540 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+60.0 NULL NULL 1969-12-31 15:59:53.139 -7196.0 1395377862 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+60.0 NULL NULL 1969-12-31 15:59:53.274 -200.0 190449983 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+60.0 NULL NULL 1969-12-31 15:59:55.035 -200.0 1810792403 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+60.0 NULL NULL 1969-12-31 16:00:05.691 15601.0 1480022657 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+60.0 NULL NULL 1969-12-31 16:00:06.811 -200.0 733796430 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+60.0 NULL NULL 1969-12-31 16:00:13.71 -7196.0 1067519794 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+61.0 NULL NULL 1969-12-31 15:59:44.836 -7196.0 1003317046 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+61.0 NULL NULL 1969-12-31 15:59:44.877 -7196.0 1661971 1.0 NULL 7196.0 -7195.0 NULL -7196.0 1453360.5639 -4632.42
+61.0 NULL NULL 1969-12-31 15:59:45.97 -200.0 1333492663 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+61.0 NULL NULL 1969-12-31 15:59:49.195 -200.0 1478237866 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+61.0 NULL NULL 1969-12-31 15:59:50.861 -7196.0 1596693466 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+61.0 NULL NULL 1969-12-31 15:59:56.14 -200.0 1648986748 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+61.0 NULL NULL 1969-12-31 15:59:56.929 -200.0 1198240264 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+61.0 NULL NULL 1969-12-31 16:00:01.505 -200.0 657304547 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+61.0 NULL NULL 1969-12-31 16:00:05.697 15601.0 1755717265 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+61.0 NULL NULL 1969-12-31 16:00:09.251 -7196.0 1429349855 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+61.0 NULL NULL 1969-12-31 16:00:11.132 -7196.0 1652808422 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+61.0 NULL NULL 1969-12-31 16:00:13.868 -7196.0 1875242301 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+61.0 NULL NULL 1969-12-31 16:00:15.143 -7196.0 838733994 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 15:59:46.338 -200.0 175991222 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+62.0 NULL NULL 1969-12-31 15:59:48.734 -7196.0 1602156586 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 15:59:49.053 -200.0 1277284867 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+62.0 NULL NULL 1969-12-31 15:59:54.116 15601.0 158194463 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+62.0 NULL NULL 1969-12-31 15:59:54.256 -7196.0 524247756 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 15:59:54.762 -200.0 1011458748 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+62.0 NULL NULL 1969-12-31 16:00:02.38 -7196.0 1733885960 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 16:00:04.967 -200.0 988888 1.0 NULL 200.0 -199.0 NULL -200.0 863223.5639 2363.58
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+62.0 NULL NULL 1969-12-31 16:00:10.51 15601.0 1815385311 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+62.0 NULL NULL 1969-12-31 16:00:12.36 -7196.0 176172843 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 16:00:12.762 -7196.0 1034824629 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 16:00:14.982 15601.0 107241980 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+79.553 NULL NULL 1969-12-31 16:00:00.761 -7196.0 514550698 2.410697012236624 NULL 7196.0 -7193.589302987763 NULL -7196.0 9763215.5639 -4632.42
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_2.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_2.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_2.q.out
new file mode 100644
index 0000000..a4d1a39
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_2.q.out
@@ -0,0 +1,225 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT AVG(csmallint),
+ (AVG(csmallint) % -563),
+ (AVG(csmallint) + 762),
+ SUM(cfloat),
+ VAR_POP(cbigint),
+ (-(VAR_POP(cbigint))),
+ (SUM(cfloat) - AVG(csmallint)),
+ COUNT(*),
+ (-((SUM(cfloat) - AVG(csmallint)))),
+ (VAR_POP(cbigint) - 762),
+ MIN(ctinyint),
+ ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
+ AVG(cdouble),
+ (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
+FROM alltypesparquet
+WHERE (((ctimestamp1 < ctimestamp2)
+ AND ((cstring2 LIKE 'b%')
+ AND (cfloat <= -5638.15)))
+ OR ((cdouble < ctinyint)
+ AND ((-10669 != ctimestamp2)
+ OR (359 > cint))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT AVG(csmallint),
+ (AVG(csmallint) % -563),
+ (AVG(csmallint) + 762),
+ SUM(cfloat),
+ VAR_POP(cbigint),
+ (-(VAR_POP(cbigint))),
+ (SUM(cfloat) - AVG(csmallint)),
+ COUNT(*),
+ (-((SUM(cfloat) - AVG(csmallint)))),
+ (VAR_POP(cbigint) - 762),
+ MIN(ctinyint),
+ ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
+ AVG(cdouble),
+ (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
+FROM alltypesparquet
+WHERE (((ctimestamp1 < ctimestamp2)
+ AND ((cstring2 LIKE 'b%')
+ AND (cfloat <= -5638.15)))
+ OR ((cdouble < ctinyint)
+ AND ((-10669 != ctimestamp2)
+ OR (359 > cint))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterTimestampColLessTimestampColumn(col 8:timestamp, col 9:timestamp), FilterStringColLikeStringScalar(col 7:string, pattern b%), FilterDoubleColLessEqualDoubleScalar(col 4:float, val -5638.14990234375)), FilterExprAndExpr(children: FilterDoubleColLessDoubleColumn(col 5:double, col 13:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), FilterExprOrExpr(children: FilterDoubleScalarNotEqualDoubleColumn(val -10669.0, col 13:double)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterLongScalarGreaterLongColumn(val 359, col 2:int))))
+ predicate: (((cdouble < UDFToDouble(ctinyint)) and ((-10669.0 <> UDFToDouble(ctimestamp2)) or (359 > cint))) or ((ctimestamp1 < ctimestamp2) and (cstring2 like 'b%') and (cfloat <= -5638.15))) (type: boolean)
+ Statistics: Num rows: 4778 Data size: 57336 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), csmallint (type: smallint), cbigint (type: bigint), cfloat (type: float), cdouble (type: double)
+ outputColumnNames: ctinyint, csmallint, cbigint, cfloat, cdouble
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 3, 4, 5]
+ Statistics: Num rows: 4778 Data size: 57336 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(csmallint), sum(cfloat), var_pop(cbigint), count(), min(ctinyint), avg(cdouble)
+ Group By Vectorization:
+ aggregators: VectorUDAFAvgLong(col 1:smallint) -> struct<count:bigint,sum:double,input:smallint>, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFCountStar(*) -> bigint, VectorUDAFMinLong(col 0:tinyint) -> tinyint, VectorUDAFAvgDouble(col 5:double) -> struct<count:bigint,sum:double,input:double>
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0, 1, 2, 3, 4, 5]
+ Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:smallint>), _col1 (type: double), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: bigint), _col4 (type: tinyint), _col5 (type: struct<count:bigint,sum:double,input:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 4, 5, 7, 8, 9]
+ 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: [double]
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 6
+ dataColumns: VALUE._col0:struct<count:bigint,sum:double,input:smallint>, VALUE._col1:double, VALUE._col2:struct<count:bigint,sum:double,variance:double>, VALUE._col3:bigint, VALUE._col4:tinyint, VALUE._col5:struct<count:bigint,sum:double,input:double>
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: avg(VALUE._col0), sum(VALUE._col1), var_pop(VALUE._col2), count(VALUE._col3), min(VALUE._col4), avg(VALUE._col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFAvgFinal(col 0:struct<count:bigint,sum:double,input:smallint>) -> double, VectorUDAFSumDouble(col 1:double) -> double, VectorUDAFVarFinal(col 2:struct<count:bigint,sum:double,variance:double>) -> double aggregation: var_pop, VectorUDAFCountMerge(col 3:bigint) -> bigint, VectorUDAFMinLong(col 4:tinyint) -> tinyint, VectorUDAFAvgFinal(col 5:struct<count:bigint,sum:double,input:double>) -> double
+ 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 (type: double), (_col0 % -563.0) (type: double), (_col0 + 762.0) (type: double), _col1 (type: double), _col2 (type: double), (- _col2) (type: double), (_col1 - _col0) (type: double), _col3 (type: bigint), (- (_col1 - _col0)) (type: double), (_col2 - 762.0) (type: double), _col4 (type: tinyint), ((- _col2) + UDFToDouble(_col4)) (type: double), _col5 (type: double), (((- _col2) + UDFToDouble(_col4)) - _col1) (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, 6, 7, 1, 2, 8, 9, 3, 11, 10, 4, 14, 5, 12]
+ selectExpressions: DoubleColModuloDoubleScalar(col 0:double, val -563.0) -> 6:double, DoubleColAddDoubleScalar(col 0:double, val 762.0) -> 7:double, DoubleColUnaryMinus(col 2:double) -> 8:double, DoubleColSubtractDoubleColumn(col 1:double, col 0:double) -> 9:double, DoubleColUnaryMinus(col 10:double)(children: DoubleColSubtractDoubleColumn(col 1:double, col 0:double) -> 10:double) -> 11:double, DoubleColSubtractDoubleScalar(col 2:double, val 762.0) -> 10:double, DoubleColAddDoubleColumn(col 12:double, col 13:double)(children: DoubleColUnaryMinus(col 2:double) -> 12:double, CastLongToDouble(col 4:tinyint) -> 13:double) -> 14:double, DoubleColSubtractDoubleColumn(col 15:double, col 1:double)(children: DoubleColAddDoubleColumn(col 12:double, col 13:double)(children: DoubleColUnaryMinus(col 2:double) -> 12:double, CastLongToDouble(col 4:tinyint) -> 13:double) -> 15:double) -> 12:double
+ 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
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT AVG(csmallint),
+ (AVG(csmallint) % -563),
+ (AVG(csmallint) + 762),
+ SUM(cfloat),
+ VAR_POP(cbigint),
+ (-(VAR_POP(cbigint))),
+ (SUM(cfloat) - AVG(csmallint)),
+ COUNT(*),
+ (-((SUM(cfloat) - AVG(csmallint)))),
+ (VAR_POP(cbigint) - 762),
+ MIN(ctinyint),
+ ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
+ AVG(cdouble),
+ (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
+FROM alltypesparquet
+WHERE (((ctimestamp1 < ctimestamp2)
+ AND ((cstring2 LIKE 'b%')
+ AND (cfloat <= -5638.15)))
+ OR ((cdouble < ctinyint)
+ AND ((-10669 != ctimestamp2)
+ OR (359 > cint))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT AVG(csmallint),
+ (AVG(csmallint) % -563),
+ (AVG(csmallint) + 762),
+ SUM(cfloat),
+ VAR_POP(cbigint),
+ (-(VAR_POP(cbigint))),
+ (SUM(cfloat) - AVG(csmallint)),
+ COUNT(*),
+ (-((SUM(cfloat) - AVG(csmallint)))),
+ (VAR_POP(cbigint) - 762),
+ MIN(ctinyint),
+ ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
+ AVG(cdouble),
+ (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
+FROM alltypesparquet
+WHERE (((ctimestamp1 < ctimestamp2)
+ AND ((cstring2 LIKE 'b%')
+ AND (cfloat <= -5638.15)))
+ OR ((cdouble < ctinyint)
+ AND ((-10669 != ctimestamp2)
+ OR (359 > cint))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-5646.467075892857 -16.467075892856883 -4884.467075892857 -2839.634998679161 1.49936299222378778E18 -1.49936299222378778E18 2806.832077213696 3584 -2806.832077213696 1.49936299222378701E18 -64 -1.49936299222378778E18 -5650.1297631138395 -1.49936299222378496E18
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_3.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_3.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_3.q.out
new file mode 100644
index 0000000..59bf2ce
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_3.q.out
@@ -0,0 +1,235 @@
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT STDDEV_SAMP(csmallint),
+ (STDDEV_SAMP(csmallint) - 10.175),
+ STDDEV_POP(ctinyint),
+ (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
+ (-(STDDEV_POP(ctinyint))),
+ (STDDEV_SAMP(csmallint) % 79.553),
+ (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
+ STDDEV_SAMP(cfloat),
+ (-(STDDEV_SAMP(csmallint))),
+ SUM(cfloat),
+ ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
+ (-((STDDEV_SAMP(csmallint) - 10.175))),
+ AVG(cint),
+ (-3728 - STDDEV_SAMP(csmallint)),
+ STDDEV_POP(cint),
+ (AVG(cint) / STDDEV_SAMP(cfloat))
+FROM alltypesparquet
+WHERE (((cint <= cfloat)
+ AND ((79.553 != cbigint)
+ AND (ctimestamp2 = -29071)))
+ OR ((cbigint > cdouble)
+ AND ((79.553 <= csmallint)
+ AND (ctimestamp1 > ctimestamp2))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT STDDEV_SAMP(csmallint),
+ (STDDEV_SAMP(csmallint) - 10.175),
+ STDDEV_POP(ctinyint),
+ (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
+ (-(STDDEV_POP(ctinyint))),
+ (STDDEV_SAMP(csmallint) % 79.553),
+ (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
+ STDDEV_SAMP(cfloat),
+ (-(STDDEV_SAMP(csmallint))),
+ SUM(cfloat),
+ ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
+ (-((STDDEV_SAMP(csmallint) - 10.175))),
+ AVG(cint),
+ (-3728 - STDDEV_SAMP(csmallint)),
+ STDDEV_POP(cint),
+ (AVG(cint) / STDDEV_SAMP(cfloat))
+FROM alltypesparquet
+WHERE (((cint <= cfloat)
+ AND ((79.553 != cbigint)
+ AND (ctimestamp2 = -29071)))
+ OR ((cbigint > cdouble)
+ AND ((79.553 <= csmallint)
+ AND (ctimestamp1 > ctimestamp2))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterDoubleColLessEqualDoubleColumn(col 13:float, col 4:float)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 13:float), FilterDecimalScalarNotEqualDecimalColumn(val 79.553, col 14:decimal(22,3))(children: CastLongToDecimal(col 3:bigint) -> 14:decimal(22,3)), FilterDoubleColEqualDoubleScalar(col 13:double, val -29071.0)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double)), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleColumn(col 13:double, col 5:double)(children: CastLongToDouble(col 3:bigint) -> 13:double), FilterDecimalScalarLessEqualDecimalColumn(val 79.553, col 15:decimal(8,3))(children: CastLongToDecimal(col 1:smallint) -> 15:decimal(8,3)), FilterTimestampColGreaterTimestampColumn(col 8:timestamp, col 9:timestamp)))
+ predicate: (((UDFToDouble(cbigint) > cdouble) and (79.553 <= CAST( csmallint AS decimal(8,3))) and (ctimestamp1 > ctimestamp2)) or ((UDFToFloat(cint) <= cfloat) and (79.553 <> CAST( cbigint AS decimal(22,3))) and (UDFToDouble(ctimestamp2) = -29071.0))) (type: boolean)
+ Statistics: Num rows: 2503 Data size: 30036 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int), cfloat (type: float)
+ outputColumnNames: ctinyint, csmallint, cint, cfloat
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 4]
+ Statistics: Num rows: 2503 Data size: 30036 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: stddev_samp(csmallint), stddev_pop(ctinyint), stddev_samp(cfloat), sum(cfloat), avg(cint), stddev_pop(cint)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarLong(col 1:smallint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFAvgLong(col 2:int) -> struct<count:bigint,sum:double,input:int>, VectorUDAFVarLong(col 2:int) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0, 1, 2, 3, 4, 5]
+ Statistics: Num rows: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,variance:double>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: double), _col4 (type: struct<count:bigint,sum:double,input:int>), _col5 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 4, 5, 8, 9]
+ 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: [double, decimal(22,3), decimal(8,3)]
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 6
+ dataColumns: VALUE._col0:struct<count:bigint,sum:double,variance:double>, VALUE._col1:struct<count:bigint,sum:double,variance:double>, VALUE._col2:struct<count:bigint,sum:double,variance:double>, VALUE._col3:double, VALUE._col4:struct<count:bigint,sum:double,input:int>, VALUE._col5:struct<count:bigint,sum:double,variance:double>
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: stddev_samp(VALUE._col0), stddev_pop(VALUE._col1), stddev_samp(VALUE._col2), sum(VALUE._col3), avg(VALUE._col4), stddev_pop(VALUE._col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarFinal(col 0:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_samp, VectorUDAFVarFinal(col 1:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_pop, VectorUDAFVarFinal(col 2:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_samp, VectorUDAFSumDouble(col 3:double) -> double, VectorUDAFAvgFinal(col 4:struct<count:bigint,sum:double,input:int>) -> double, VectorUDAFVarFinal(col 5:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_pop
+ 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: 404 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: double), (_col0 - 10.175) (type: double), _col1 (type: double), (_col0 * (_col0 - 10.175)) (type: double), (- _col1) (type: double), (_col0 % 79.553) (type: double), (- (_col0 * (_col0 - 10.175))) (type: double), _col2 (type: double), (- _col0) (type: double), _col3 (type: double), ((- (_col0 * (_col0 - 10.175))) / (_col0 - 10.175)) (type: double), (- (_col0 - 10.175)) (type: double), _col4 (type: double), (-3728.0 - _col0) (type: double), _col5 (type: double), (_col4 / _col2) (type: double)
+ 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, 6, 1, 8, 7, 9, 10, 2, 11, 3, 14, 13, 4, 12, 5, 15]
+ selectExpressions: DoubleColSubtractDoubleScalar(col 0:double, val 10.175) -> 6:double, DoubleColMultiplyDoubleColumn(col 0:double, col 7:double)(children: DoubleColSubtractDoubleScalar(col 0:double, val 10.175) -> 7:double) -> 8:double, DoubleColUnaryMinus(col 1:double) -> 7:double, DoubleColModuloDoubleScalar(col 0:double, val 79.553) -> 9:double, DoubleColUnaryMinus(col 11:double)(children: DoubleColMultiplyDoubleColumn(col 0:double, col 10:double)(children: DoubleColSubtractDoubleScalar(col 0:double, val 10.175) -> 10:double) -> 11:double) -> 10:double, DoubleColUnaryMinus(col 0:double) -> 11:double, DoubleColDivideDoubleColumn(col 12:double, col 13:double)(children: DoubleColUnaryMinus(col 13:double)(children: DoubleColMultiplyDoubleColumn(col 0:double, col 12:double)(children: DoubleColSubtractDoubleScalar(col 0:double, val 10.175) -> 12:double) -> 13:double) -> 12:double, DoubleColSubtractDoubleScalar(col 0:double, val 10.175) -> 13:double) -> 14:double,
DoubleColUnaryMinus(col 12:double)(children: DoubleColSubtractDoubleScalar(col 0:double, val 10.175) -> 12:double) -> 13:double, DoubleScalarSubtractDoubleColumn(val -3728.0, col 0:double) -> 12:double, DoubleColDivideDoubleColumn(col 4:double, col 2:double) -> 15:double
+ Statistics: Num rows: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 1 Data size: 404 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT STDDEV_SAMP(csmallint),
+ (STDDEV_SAMP(csmallint) - 10.175),
+ STDDEV_POP(ctinyint),
+ (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
+ (-(STDDEV_POP(ctinyint))),
+ (STDDEV_SAMP(csmallint) % 79.553),
+ (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
+ STDDEV_SAMP(cfloat),
+ (-(STDDEV_SAMP(csmallint))),
+ SUM(cfloat),
+ ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
+ (-((STDDEV_SAMP(csmallint) - 10.175))),
+ AVG(cint),
+ (-3728 - STDDEV_SAMP(csmallint)),
+ STDDEV_POP(cint),
+ (AVG(cint) / STDDEV_SAMP(cfloat))
+FROM alltypesparquet
+WHERE (((cint <= cfloat)
+ AND ((79.553 != cbigint)
+ AND (ctimestamp2 = -29071)))
+ OR ((cbigint > cdouble)
+ AND ((79.553 <= csmallint)
+ AND (ctimestamp1 > ctimestamp2))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT STDDEV_SAMP(csmallint),
+ (STDDEV_SAMP(csmallint) - 10.175),
+ STDDEV_POP(ctinyint),
+ (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
+ (-(STDDEV_POP(ctinyint))),
+ (STDDEV_SAMP(csmallint) % 79.553),
+ (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
+ STDDEV_SAMP(cfloat),
+ (-(STDDEV_SAMP(csmallint))),
+ SUM(cfloat),
+ ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
+ (-((STDDEV_SAMP(csmallint) - 10.175))),
+ AVG(cint),
+ (-3728 - STDDEV_SAMP(csmallint)),
+ STDDEV_POP(cint),
+ (AVG(cint) / STDDEV_SAMP(cfloat))
+FROM alltypesparquet
+WHERE (((cint <= cfloat)
+ AND ((79.553 != cbigint)
+ AND (ctimestamp2 = -29071)))
+ OR ((cbigint > cdouble)
+ AND ((79.553 <= csmallint)
+ AND (ctimestamp1 > ctimestamp2))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+0.0 -10.175 34.287285216637066 -0.0 -34.287285216637066 0.0 0.0 34.34690095515641 -0.0 197.89499950408936 -0.0 10.175 NULL -3728.0 NULL NULL
[14/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/spark/parquet_vectorization_0.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/parquet_vectorization_0.q.out b/ql/src/test/results/clientpositive/spark/parquet_vectorization_0.q.out
new file mode 100644
index 0000000..b3e2f17
--- /dev/null
+++ b/ql/src/test/results/clientpositive/spark/parquet_vectorization_0.q.out
@@ -0,0 +1,31602 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(ctinyint) as c1,
+ MAX(ctinyint),
+ COUNT(ctinyint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(ctinyint) as c1,
+ MAX(ctinyint),
+ COUNT(ctinyint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: ctinyint (type: tinyint)
+ outputColumnNames: ctinyint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: min(ctinyint), max(ctinyint), count(ctinyint), count()
+ Group By Vectorization:
+ aggregators: VectorUDAFMinLong(col 0:tinyint) -> tinyint, VectorUDAFMaxLong(col 0:tinyint) -> tinyint, VectorUDAFCount(col 0:tinyint) -> bigint, VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0, 1, 2, 3]
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: tinyint), _col1 (type: tinyint), _col2 (type: bigint), _col3 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0]
+ 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: []
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 4
+ dataColumns: VALUE._col0:tinyint, VALUE._col1:tinyint, VALUE._col2:bigint, VALUE._col3:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: min(VALUE._col0), max(VALUE._col1), count(VALUE._col2), count(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFMinLong(col 0:tinyint) -> tinyint, VectorUDAFMaxLong(col 1:tinyint) -> tinyint, VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFCountMerge(col 3:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: tinyint)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [1, 2, 3]
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: tinyint), _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
+ reduceColumnNullOrder: a
+ reduceColumnSortOrder: +
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 4
+ dataColumns: KEY.reducesinkkey0:tinyint, VALUE._col0:tinyint, VALUE._col1:bigint, VALUE._col2:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: tinyint), VALUE._col0 (type: tinyint), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint)
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ 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
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT MIN(ctinyint) as c1,
+ MAX(ctinyint),
+ COUNT(ctinyint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT MIN(ctinyint) as c1,
+ MAX(ctinyint),
+ COUNT(ctinyint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-64 62 9173 12288
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(ctinyint) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(ctinyint) as c1
+FROM alltypesparquet
+ORDER BY c1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: ctinyint (type: tinyint)
+ outputColumnNames: ctinyint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 0:tinyint) -> 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
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0]
+ 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: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0]
+ 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: []
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 1
+ dataColumns: VALUE._col0:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ 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
+ Reduce Output Operator
+ key expressions: _col0 (type: bigint)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: []
+ Statistics: Num rows: 1 Data size: 8 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
+ reduceColumnNullOrder: a
+ reduceColumnSortOrder: +
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 1
+ dataColumns: KEY.reducesinkkey0:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: bigint)
+ outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
+ 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
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT SUM(ctinyint) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT SUM(ctinyint) as c1
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-39856
+PREHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(ctinyint) as c1,
+ variance(ctinyint),
+ var_pop(ctinyint),
+ var_samp(ctinyint),
+ std(ctinyint),
+ stddev(ctinyint),
+ stddev_pop(ctinyint),
+ stddev_samp(ctinyint)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(ctinyint) as c1,
+ variance(ctinyint),
+ var_pop(ctinyint),
+ var_samp(ctinyint),
+ std(ctinyint),
+ stddev(ctinyint),
+ stddev_pop(ctinyint),
+ stddev_samp(ctinyint)
+FROM alltypesparquet
+ORDER BY c1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint)
+ outputColumnNames: ctinyint
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(ctinyint), variance(ctinyint), var_pop(ctinyint), var_samp(ctinyint), std(ctinyint), stddev(ctinyint), stddev_pop(ctinyint), stddev_samp(ctinyint)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:tinyint>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,variance:double>), _col7 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ 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: avg(VALUE._col0), variance(VALUE._col1), var_pop(VALUE._col2), var_samp(VALUE._col3), std(VALUE._col4), stddev(VALUE._col5), stddev_pop(VALUE._col6), stddev_samp(VALUE._col7)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: double), _col2 (type: double), _col3 (type: double), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: double)
+ 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: double), VALUE._col0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: double), VALUE._col5 (type: double), VALUE._col6 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 636 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT
+ avg(ctinyint) as c1,
+ variance(ctinyint),
+ var_pop(ctinyint),
+ var_samp(ctinyint),
+ std(ctinyint),
+ stddev(ctinyint),
+ stddev_pop(ctinyint),
+ stddev_samp(ctinyint)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT
+ avg(ctinyint) as c1,
+ variance(ctinyint),
+ var_pop(ctinyint),
+ var_samp(ctinyint),
+ std(ctinyint),
+ stddev(ctinyint),
+ stddev_pop(ctinyint),
+ stddev_samp(ctinyint)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-4.344925324321378 1158.3003004768184 1158.3003004768184 1158.4265870337827 34.033811136527426 34.033811136527426 34.033811136527426 34.03566639620536
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(cbigint) as c1,
+ MAX(cbigint),
+ COUNT(cbigint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(cbigint) as c1,
+ MAX(cbigint),
+ COUNT(cbigint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: cbigint (type: bigint)
+ outputColumnNames: cbigint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: min(cbigint), max(cbigint), count(cbigint), count()
+ Group By Vectorization:
+ aggregators: VectorUDAFMinLong(col 3:bigint) -> bigint, VectorUDAFMaxLong(col 3:bigint) -> bigint, VectorUDAFCount(col 3:bigint) -> bigint, VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0, 1, 2, 3]
+ Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: bigint), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [3]
+ 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: []
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 4
+ dataColumns: VALUE._col0:bigint, VALUE._col1:bigint, VALUE._col2:bigint, VALUE._col3:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: min(VALUE._col0), max(VALUE._col1), count(VALUE._col2), count(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFMinLong(col 0:bigint) -> bigint, VectorUDAFMaxLong(col 1:bigint) -> bigint, VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFCountMerge(col 3:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: bigint)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [1, 2, 3]
+ Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: bigint), _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
+ reduceColumnNullOrder: a
+ reduceColumnSortOrder: +
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 4
+ dataColumns: KEY.reducesinkkey0:bigint, VALUE._col0:bigint, VALUE._col1:bigint, VALUE._col2:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: bigint), VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint)
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 1 Data size: 32 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT MIN(cbigint) as c1,
+ MAX(cbigint),
+ COUNT(cbigint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT MIN(cbigint) as c1,
+ MAX(cbigint),
+ COUNT(cbigint),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-2147311592 2145498388 9173 12288
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cbigint) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cbigint) as c1
+FROM alltypesparquet
+ORDER BY c1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: cbigint (type: bigint)
+ outputColumnNames: cbigint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(cbigint)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 3:bigint) -> 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
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0]
+ 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: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [3]
+ 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: []
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 1
+ dataColumns: VALUE._col0:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ 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
+ Reduce Output Operator
+ key expressions: _col0 (type: bigint)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: []
+ Statistics: Num rows: 1 Data size: 8 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
+ reduceColumnNullOrder: a
+ reduceColumnSortOrder: +
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 1
+ dataColumns: KEY.reducesinkkey0:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: bigint)
+ outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
+ 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
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT SUM(cbigint) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT SUM(cbigint) as c1
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1698460028409
+PREHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(cbigint) as c1,
+ variance(cbigint),
+ var_pop(cbigint),
+ var_samp(cbigint),
+ std(cbigint),
+ stddev(cbigint),
+ stddev_pop(cbigint),
+ stddev_samp(cbigint)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(cbigint) as c1,
+ variance(cbigint),
+ var_pop(cbigint),
+ var_samp(cbigint),
+ std(cbigint),
+ stddev(cbigint),
+ stddev_pop(cbigint),
+ stddev_samp(cbigint)
+FROM alltypesparquet
+ORDER BY c1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cbigint (type: bigint)
+ outputColumnNames: cbigint
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(cbigint), variance(cbigint), var_pop(cbigint), var_samp(cbigint), std(cbigint), stddev(cbigint), stddev_pop(cbigint), stddev_samp(cbigint)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:bigint>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,variance:double>), _col7 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ 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: avg(VALUE._col0), variance(VALUE._col1), var_pop(VALUE._col2), var_samp(VALUE._col3), std(VALUE._col4), stddev(VALUE._col5), stddev_pop(VALUE._col6), stddev_samp(VALUE._col7)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: double), _col2 (type: double), _col3 (type: double), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: double)
+ 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: double), VALUE._col0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: double), VALUE._col5 (type: double), VALUE._col6 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 640 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 640 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT
+ avg(cbigint) as c1,
+ variance(cbigint),
+ var_pop(cbigint),
+ var_samp(cbigint),
+ std(cbigint),
+ stddev(cbigint),
+ stddev_pop(cbigint),
+ stddev_samp(cbigint)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT
+ avg(cbigint) as c1,
+ variance(cbigint),
+ var_pop(cbigint),
+ var_samp(cbigint),
+ std(cbigint),
+ stddev(cbigint),
+ stddev_pop(cbigint),
+ stddev_samp(cbigint)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-1.8515862077935246E8 2.07689300543081907E18 2.07689300543081907E18 2.07711944383088768E18 1.441142951074188E9 1.441142951074188E9 1.441142951074188E9 1.4412215110214279E9
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(cfloat) as c1,
+ MAX(cfloat),
+ COUNT(cfloat),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MIN(cfloat) as c1,
+ MAX(cfloat),
+ COUNT(cfloat),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: cfloat (type: float)
+ outputColumnNames: cfloat
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: min(cfloat), max(cfloat), count(cfloat), count()
+ Group By Vectorization:
+ aggregators: VectorUDAFMinDouble(col 4:float) -> float, VectorUDAFMaxDouble(col 4:float) -> float, VectorUDAFCount(col 4:float) -> bigint, VectorUDAFCountStar(*) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0, 1, 2, 3]
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: float), _col1 (type: float), _col2 (type: bigint), _col3 (type: bigint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [4]
+ 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: []
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 4
+ dataColumns: VALUE._col0:float, VALUE._col1:float, VALUE._col2:bigint, VALUE._col3:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: min(VALUE._col0), max(VALUE._col1), count(VALUE._col2), count(VALUE._col3)
+ Group By Vectorization:
+ aggregators: VectorUDAFMinDouble(col 0:float) -> float, VectorUDAFMaxDouble(col 1:float) -> float, VectorUDAFCountMerge(col 2:bigint) -> bigint, VectorUDAFCountMerge(col 3:bigint) -> bigint
+ className: VectorGroupByOperator
+ groupByMode: MERGEPARTIAL
+ native: false
+ vectorProcessingMode: GLOBAL
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: float)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [1, 2, 3]
+ Statistics: Num rows: 1 Data size: 24 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: float), _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
+ reduceColumnNullOrder: a
+ reduceColumnSortOrder: +
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 4
+ dataColumns: KEY.reducesinkkey0:float, VALUE._col0:float, VALUE._col1:bigint, VALUE._col2:bigint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: float), VALUE._col0 (type: float), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint)
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 3]
+ 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
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT MIN(cfloat) as c1,
+ MAX(cfloat),
+ COUNT(cfloat),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT MIN(cfloat) as c1,
+ MAX(cfloat),
+ COUNT(cfloat),
+ COUNT(*)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-64.0 79.553 9173 12288
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cfloat) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cfloat) as c1
+FROM alltypesparquet
+ORDER BY c1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Select Operator
+ expressions: cfloat (type: float)
+ outputColumnNames: cfloat
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(cfloat)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDouble(col 4:float) -> double
+ 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
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0]
+ Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [4]
+ 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: []
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 1
+ dataColumns: VALUE._col0:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumDouble(col 0:double) -> double
+ 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
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkObjectHashOperator
+ keyColumnNums: [0]
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: []
+ Statistics: Num rows: 1 Data size: 8 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
+ reduceColumnNullOrder: a
+ reduceColumnSortOrder: +
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 1
+ dataColumns: KEY.reducesinkkey0:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: double)
+ outputColumnNames: _col0
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0]
+ 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
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT SUM(cfloat) as c1
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT SUM(cfloat) as c1
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-39479.635992884636
+PREHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(cfloat) as c1,
+ variance(cfloat),
+ var_pop(cfloat),
+ var_samp(cfloat),
+ std(cfloat),
+ stddev(cfloat),
+ stddev_pop(cfloat),
+ stddev_samp(cfloat)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION
+SELECT
+ avg(cfloat) as c1,
+ variance(cfloat),
+ var_pop(cfloat),
+ var_samp(cfloat),
+ std(cfloat),
+ stddev(cfloat),
+ stddev_pop(cfloat),
+ stddev_samp(cfloat)
+FROM alltypesparquet
+ORDER BY c1
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+ Reducer 3 <- Reducer 2 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cfloat (type: float)
+ outputColumnNames: cfloat
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(cfloat), variance(cfloat), var_pop(cfloat), var_samp(cfloat), std(cfloat), stddev(cfloat), stddev_pop(cfloat), stddev_samp(cfloat)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:float>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: struct<count:bigint,sum:double,variance:double>), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,variance:double>), _col7 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ 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: avg(VALUE._col0), variance(VALUE._col1), var_pop(VALUE._col2), var_samp(VALUE._col3), std(VALUE._col4), stddev(VALUE._col5), stddev_pop(VALUE._col6), stddev_samp(VALUE._col7)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double)
+ sort order: +
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: double), _col2 (type: double), _col3 (type: double), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: double)
+ 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: double), VALUE._col0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: double), VALUE._col3 (type: double), VALUE._col4 (type: double), VALUE._col5 (type: double), VALUE._col6 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7
+ Statistics: Num rows: 1 Data size: 636 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 636 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT
+ avg(cfloat) as c1,
+ variance(cfloat),
+ var_pop(cfloat),
+ var_samp(cfloat),
+ std(cfloat),
+ stddev(cfloat),
+ stddev_pop(cfloat),
+ stddev_samp(cfloat)
+FROM alltypesparquet
+ORDER BY c1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT
+ avg(cfloat) as c1,
+ variance(cfloat),
+ var_pop(cfloat),
+ var_samp(cfloat),
+ std(cfloat),
+ stddev(cfloat),
+ stddev_pop(cfloat),
+ stddev_samp(cfloat)
+FROM alltypesparquet
+ORDER BY c1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-4.303895780321011 1163.8972588604984 1163.8972588604984 1164.0241556397025 34.115938487171924 34.115938487171924 34.115938487171924 34.11779822379666
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (cbigint < cdouble)))
+ OR ((ctinyint >= csmallint)
+ AND ((cboolean2 = 1)
+ AND (3569 = ctinyint))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (cbigint < cdouble)))
+ OR ((ctinyint >= csmallint)
+ AND ((cboolean2 = 1)
+ AND (3569 = ctinyint))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (GROUP, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterStringColLikeStringScalar(col 7:string, pattern %b%), FilterDecimalScalarNotEqualDecimalColumn(val 79.553, col 13:decimal(13,3))(children: CastLongToDecimal(col 2:int) -> 13:decimal(13,3)), FilterDoubleColLessDoubleColumn(col 14:double, col 5:double)(children: CastLongToDouble(col 3:bigint) -> 14:double), FilterExprAndExpr(children: FilterLongColGreaterEqualLongColumn(col 0:smallint, col 1:smallint)(children: col 0:tinyint), FilterLongColEqualLongScalar(col 11:boolean, val 1), FilterLongScalarEqualLongColumn(val 3569, col 0:int)(children: col 0:tinyint)))
+ predicate: (((UDFToShort(ctinyint) >= csmallint) and (cboolean2 = 1) and (3569 = UDFToInteger(ctinyint))) or (79.553 <> CAST( cint AS decimal(13,3))) or (UDFToDouble(cbigint) < cdouble) or (cstring2 like '%b%')) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cbigint (type: bigint), cfloat (type: float)
+ outputColumnNames: ctinyint, cbigint, cfloat
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 3, 4]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(cbigint), stddev_pop(cbigint), var_samp(cbigint), count(), sum(cfloat), min(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFAvgLong(col 3:bigint) -> struct<count:bigint,sum:double,input:bigint>, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: var_samp, VectorUDAFCountStar(*) -> bigint, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFMinLong(col 0:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkEmptyKeyOperator
+ keyColumnNums: []
+ native: true
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, hive.execution.engine spark IN [tez, spark] IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ valueColumnNums: [0, 1, 2, 3, 4, 5]
+ Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:bigint>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: bigint), _col4 (type: double), _col5 (type: tinyint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 4, 5, 7, 11]
+ 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: [decimal(13,3), double]
+ 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
+ reduceColumnNullOrder:
+ reduceColumnSortOrder:
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 6
+ dataColumns: VALUE._col0:struct<count:bigint,sum:double,input:bigint>, VALUE._col1:struct<count:bigint,sum:double,variance:double>, VALUE._col2:struct<count:bigint,sum:double,variance:double>, VALUE._col3:bigint, VALUE._col4:double, VALUE._col5:tinyint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: avg(VALUE._col0), stddev_pop(VALUE._col1), var_samp(VALUE._col2), count(VALUE._col3), sum(VALUE._col4), min(VALUE._col5)
+ Group By Vectorization:
+ aggregators: VectorUDAFAvgFinal(col 0:struct<count:bigint,sum:double,input:bigint>) -> double, VectorUDAFVarFinal(col 1:struct<count:bigint,sum:double,variance:double>) -> double aggregation: stddev_pop, VectorUDAFVarFinal(col 2:struct<count:bigint,sum:double,variance:double>) -> double aggregation: var_samp, VectorUDAFCountMerge(col 3:bigint) -> bigint, VectorUDAFSumDouble(col 4:double) -> double, VectorUDAFMinLong(col 5:tinyint) -> tinyint
+ 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: 260 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: double), (- _col0) (type: double), (-6432.0 + _col0) (type: double), _col1 (type: double), (- (-6432.0 + _col0)) (type: double), ((- (-6432.0 + _col0)) + (-6432.0 + _col0)) (type: double), _col2 (type: double), (- (-6432.0 + _col0)) (type: double), (-6432.0 + (- (-6432.0 + _col0))) (type: double), (- (-6432.0 + _col0)) (type: double), ((- (-6432.0 + _col0)) / (- (-6432.0 + _col0))) (type: double), _col3 (type: bigint), _col4 (type: double), (_col2 % _col1) (type: double), (- _col2) (type: double), ((- (-6432.0 + _col0)) * (- _col0)) (type: double), _col5 (type: tinyint), (- _col5) (type: tinyint)
+ 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, 6, 7, 1, 9, 11, 2, 10, 8, 13, 12, 3, 4, 14, 15, 18, 5, 19]
+ selectExpressions: DoubleColUnaryMinus(col 0:double) -> 6:double, DoubleScalarAddDoubleColumn(val -6432.0, col 0:double) -> 7:double, DoubleColUnaryMinus(col 8:double)(children: DoubleScalarAddDoubleColumn(val -6432.0, col 0:double) -> 8:double) -> 9:double, DoubleColAddDoubleColumn(col 10:double, col 8:double)(children: DoubleColUnaryMinus(col 8:double)(children: DoubleScalarAddDoubleColumn(val -6432.0, col 0:double) -> 8:double) -> 10:double, DoubleScalarAddDoubleColumn(val -6432.0, col 0:double) -> 8:double) -> 11:double, DoubleColUnaryMinus(col 8:double)(children: DoubleScalarAddDoubleColumn(val -6432.0, col 0:double) -> 8:double) -> 10:double, DoubleScalarAddDoubleColumn(val -6432.0, col 12:double)(children: DoubleColUnaryMinus(col 8:double)(children: DoubleScalarAddDoubleColumn(val -6432.0, col 0:double) -> 8:double) -> 12:double) -> 8:double, DoubleColUnaryMinus(col 12:double)(children: DoubleScalarAddDoubleColumn(val -6432.0, col 0:double) -> 12:double)
-> 13:double, DoubleColDivideDoubleColumn(col 14:double, col 15:double)(children: DoubleColUnaryMinus(col 12:double)(children: DoubleScalarAddDoubleColumn(val -6432.0, col 0:double) -> 12:double) -> 14:double, DoubleColUnaryMinus(col 12:double)(children: DoubleScalarAddDoubleColumn(val -6432.0, col 0:double) -> 12:double) -> 15:double) -> 12:double, DoubleColModuloDoubleColumn(col 2:double, col 1:double) -> 14:double, DoubleColUnaryMinus(col 2:double) -> 15:double, DoubleColMultiplyDoubleColumn(col 17:double, col 16:double)(children: DoubleColUnaryMinus(col 16:double)(children: DoubleScalarAddDoubleColumn(val -6432.0, col 0:double) -> 16:double) -> 17:double, DoubleColUnaryMinus(col 0:double) -> 16:double) -> 18:double, LongColUnaryMinus(col 5:tinyint) -> 19:tinyint
+ Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ File Sink Vectorization:
+ className: VectorFileSinkOperator
+ native: false
+ Statistics: Num rows: 1 Data size: 260 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) + (-6432 + AVG(cbigint))),
+ VAR_SAMP(cbigint),
+ (-((-6432 + AVG(cbigint)))),
+ (-6432 + (-((-6432 + AVG(cbigint))))),
+ (-((-6432 + AVG(cbigint)))),
+ ((-((-6432 + AVG(cbigint)))) / (-((-6432 + AVG(cbigint))))),
+ COUNT(*),
+ SUM(cfloat),
+ (VAR_SAMP(cbigint) % STDDEV_POP(cbigint)),
+ (-(VAR_SAMP(cbigint))),
+ ((-((-6432 + AVG(cbigint)))) * (-(AVG(cbigint)))),
+ MIN(ctinyint),
+ (-(MIN(ctinyint)))
+FROM alltypesparquet
+WHERE (((cstring2 LIKE '%b%')
+ OR ((79.553 != cint)
+ OR (cbigint < cdouble)))
+ OR ((ctinyint >= csmallint)
+ AND ((cboolean2 = 1)
+ AND (3569 = ctinyint))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT AVG(cbigint),
+ (-(AVG(cbigint))),
+ (-6432 + AVG(cbigint)),
+ STDDEV_POP(cbigint),
+ (-((-6432 + AVG(cbi
<TRUNCATED>
[20/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_5.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_5.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_5.q.out
new file mode 100644
index 0000000..b445dfb
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_5.q.out
@@ -0,0 +1,181 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MAX(csmallint),
+ (MAX(csmallint) * -75),
+ COUNT(*),
+ ((MAX(csmallint) * -75) / COUNT(*)),
+ (6981 * MAX(csmallint)),
+ MIN(csmallint),
+ (-(MIN(csmallint))),
+ (197 % ((MAX(csmallint) * -75) / COUNT(*))),
+ SUM(cint),
+ MAX(ctinyint),
+ (-(MAX(ctinyint))),
+ ((-(MAX(ctinyint))) + MAX(ctinyint))
+FROM alltypesparquet
+WHERE (((cboolean2 IS NOT NULL)
+ AND (cstring1 LIKE '%b%'))
+ OR ((ctinyint = cdouble)
+ AND ((ctimestamp2 IS NOT NULL)
+ AND (cstring2 LIKE 'a'))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT MAX(csmallint),
+ (MAX(csmallint) * -75),
+ COUNT(*),
+ ((MAX(csmallint) * -75) / COUNT(*)),
+ (6981 * MAX(csmallint)),
+ MIN(csmallint),
+ (-(MIN(csmallint))),
+ (197 % ((MAX(csmallint) * -75) / COUNT(*))),
+ SUM(cint),
+ MAX(ctinyint),
+ (-(MAX(ctinyint))),
+ ((-(MAX(ctinyint))) + MAX(ctinyint))
+FROM alltypesparquet
+WHERE (((cboolean2 IS NOT NULL)
+ AND (cstring1 LIKE '%b%'))
+ OR ((ctinyint = cdouble)
+ AND ((ctimestamp2 IS NOT NULL)
+ AND (cstring2 LIKE 'a'))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: SelectColumnIsNotNull(col 11:boolean), FilterStringColLikeStringScalar(col 6:string, pattern %b%)), FilterExprAndExpr(children: FilterDoubleColEqualDoubleColumn(col 13:double, col 5:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), SelectColumnIsNotNull(col 9:timestamp), FilterStringColLikeStringScalar(col 7:string, pattern a)))
+ predicate: (((UDFToDouble(ctinyint) = cdouble) and ctimestamp2 is not null and (cstring2 like 'a')) or (cboolean2 is not null and (cstring1 like '%b%'))) (type: boolean)
+ Statistics: Num rows: 9216 Data size: 110592 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int)
+ outputColumnNames: ctinyint, csmallint, cint
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2]
+ Statistics: Num rows: 9216 Data size: 110592 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: max(csmallint), count(), min(csmallint), sum(cint), max(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxLong(col 1:smallint) -> smallint, VectorUDAFCountStar(*) -> bigint, VectorUDAFMinLong(col 1:smallint) -> smallint, VectorUDAFSumLong(col 2:int) -> bigint, VectorUDAFMaxLong(col 0:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: smallint), _col1 (type: bigint), _col2 (type: smallint), _col3 (type: bigint), _col4 (type: tinyint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 5, 6, 7, 9, 11]
+ 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: [double]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: max(VALUE._col0), count(VALUE._col1), min(VALUE._col2), sum(VALUE._col3), max(VALUE._col4)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: smallint), (UDFToInteger(_col0) * -75) (type: int), _col1 (type: bigint), (UDFToDouble((UDFToInteger(_col0) * -75)) / UDFToDouble(_col1)) (type: double), (6981 * UDFToInteger(_col0)) (type: int), _col2 (type: smallint), (- _col2) (type: smallint), (197.0 % (UDFToDouble((UDFToInteger(_col0) * -75)) / UDFToDouble(_col1))) (type: double), _col3 (type: bigint), _col4 (type: tinyint), (- _col4) (type: tinyint), ((- _col4) + _col4) (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11
+ Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 28 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT MAX(csmallint),
+ (MAX(csmallint) * -75),
+ COUNT(*),
+ ((MAX(csmallint) * -75) / COUNT(*)),
+ (6981 * MAX(csmallint)),
+ MIN(csmallint),
+ (-(MIN(csmallint))),
+ (197 % ((MAX(csmallint) * -75) / COUNT(*))),
+ SUM(cint),
+ MAX(ctinyint),
+ (-(MAX(ctinyint))),
+ ((-(MAX(ctinyint))) + MAX(ctinyint))
+FROM alltypesparquet
+WHERE (((cboolean2 IS NOT NULL)
+ AND (cstring1 LIKE '%b%'))
+ OR ((ctinyint = cdouble)
+ AND ((ctimestamp2 IS NOT NULL)
+ AND (cstring2 LIKE 'a'))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT MAX(csmallint),
+ (MAX(csmallint) * -75),
+ COUNT(*),
+ ((MAX(csmallint) * -75) / COUNT(*)),
+ (6981 * MAX(csmallint)),
+ MIN(csmallint),
+ (-(MIN(csmallint))),
+ (197 % ((MAX(csmallint) * -75) / COUNT(*))),
+ SUM(cint),
+ MAX(ctinyint),
+ (-(MAX(ctinyint))),
+ ((-(MAX(ctinyint))) + MAX(ctinyint))
+FROM alltypesparquet
+WHERE (((cboolean2 IS NOT NULL)
+ AND (cstring1 LIKE '%b%'))
+ OR ((ctinyint = cdouble)
+ AND ((ctimestamp2 IS NOT NULL)
+ AND (cstring2 LIKE 'a'))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+16343 -1225725 1070 -1145.53738317757 114090483 -16307 16307 197.0 -26853917571 11 -11 0
[24/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_13.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_13.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_13.q.out
new file mode 100644
index 0000000..55b6afc
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_13.q.out
@@ -0,0 +1,646 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > 11)
+ AND ((ctimestamp2 != 12)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > 11)
+ AND ((ctimestamp2 != 12)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterDoubleColLessDoubleScalar(col 4:float, val 3569.0), FilterDoubleScalarGreaterEqualDoubleColumn(val 10.175, col 5:double), FilterLongColNotEqualLongScalar(col 10:boolean, val 1)), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 13:double, val 11.0)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterDoubleColNotEqualDoubleScalar(col 13:double, val 12.0)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterDecimalColLessDecimalScalar(col 14:decimal(11,4), val 9763215.5639)(children: CastLongToDecimal(col 0:tinyint) -> 14:decimal(11,4))))
+ predicate: (((UDFToDouble(ctimestamp1) > 11.0) and (UDFToDouble(ctimestamp2) <> 12.0) and (CAST( ctinyint AS decimal(11,4)) < 9763215.5639)) or ((cfloat < 3569) and (10.175 >= cdouble) and (cboolean1 <> 1))) (type: boolean)
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cfloat (type: float), cstring1 (type: string), ctimestamp1 (type: timestamp), cboolean1 (type: boolean)
+ outputColumnNames: ctinyint, cfloat, cstring1, ctimestamp1, cboolean1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 6, 8, 10]
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: max(ctinyint), sum(cfloat), stddev_pop(cfloat), stddev_pop(ctinyint), max(cfloat), min(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxLong(col 0:tinyint) -> tinyint, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFMaxDouble(col 4:float) -> float, VectorUDAFMinLong(col 0:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 10:boolean, col 0:tinyint, col 8:timestamp, col 4:float, col 6:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: cboolean1 (type: boolean), ctinyint (type: tinyint), ctimestamp1 (type: timestamp), cfloat (type: float), cstring1 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string)
+ sort order: +++++
+ Map-reduce partition columns: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col5 (type: tinyint), _col6 (type: double), _col7 (type: struct<count:bigint,sum:double,variance:double>), _col8 (type: struct<count:bigint,sum:double,variance:double>), _col9 (type: float), _col10 (type: tinyint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 4, 5, 6, 8, 9, 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: [double, decimal(11,4)]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: max(VALUE._col0), sum(VALUE._col1), stddev_pop(VALUE._col2), stddev_pop(VALUE._col3), max(VALUE._col4), min(VALUE._col5)
+ keys: KEY._col0 (type: boolean), KEY._col1 (type: tinyint), KEY._col2 (type: timestamp), KEY._col3 (type: float), KEY._col4 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), (- _col1) (type: tinyint), _col5 (type: tinyint), ((- _col1) + _col5) (type: tinyint), _col6 (type: double), (_col6 * UDFToDouble(((- _col1) + _col5))) (type: double), (- _col6) (type: double), (79.553 * _col3) (type: float), _col7 (type: double), (- _col6) (type: double), _col8 (type: double), (CAST( ((- _col1) + _col5) AS decimal(3,0)) - 10.175) (type: decimal(7,3)), (- (- _col6)) (type: double), (-26.28 / (- (- _col6))) (type: double), _col9 (type: float), ((_col6 * UDFToDouble(((- _col1) + _col5))) / UDFToDouble(_col1)) (type: double), _col10 (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:boolean, 1:_col1:tinyint, 2:_col2:timestamp, 3:_col3:float, 4:_col4:string, 5:_col5:tinyint, 6:_col6:tinyint, 7:_col7:tinyint, 8:_col8:double, 9:_col9:double, 10:_col10:double, 11:_col11:float, 12:_col12:double, 13:_col13:double, 14:_col14:double, 15:_col15:decimal(7,3), 16:_col16:double, 17:_col17:double, 18:_col18:float, 19:_col19:double, 20:_col20:tinyint]
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), _col5 (type: tinyint), _col6 (type: tinyint), _col7 (type: tinyint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: decimal(7,3)), _col16 (type: double), _col17 (type: double), _col18 (type: float), _col19 (type: double), _col20 (type: tinyint)
+ sort order: +++++++++++++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 21
+ includeColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
+ dataColumns: _col0:boolean, _col1:tinyint, _col2:timestamp, _col3:float, _col4:string, _col5:tinyint, _col6:tinyint, _col7:tinyint, _col8:double, _col9:double, _col10:double, _col11:float, _col12:double, _col13:double, _col14:double, _col15:decimal(7,3), _col16:double, _col17:double, _col18:float, _col19:double, _col20:tinyint
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: tinyint), KEY.reducesinkkey2 (type: timestamp), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: tinyint), KEY.reducesinkkey6 (type: tinyint), KEY.reducesinkkey7 (type: tinyint), KEY.reducesinkkey8 (type: double), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey14 (type: double), KEY.reducesinkkey15 (type: decimal(7,3)), KEY.reducesinkkey16 (type: double), KEY.reducesinkkey17 (type: double), KEY.reducesinkkey18 (type: float), KEY.reducesinkkey19 (type: double), KEY.reducesinkkey20 (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 40
+ Statistics: Num rows: 40 Data size: 480 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 40 Data size: 480 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 40
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > 11)
+ AND ((ctimestamp2 != 12)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > 11)
+ AND ((ctimestamp2 != 12)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+NULL -55 1969-12-31 16:00:11.38 -55.0 NULL 55 -55 0 -55.0 -0.0 55.0 -4375.415 0.0 55.0 0.0 -10.175 -55.0 0.47781818181818186 -55.0 0.0 -55
+NULL -55 1969-12-31 16:00:11.751 -55.0 NULL 55 -55 0 -55.0 -0.0 55.0 -4375.415 0.0 55.0 0.0 -10.175 -55.0 0.47781818181818186 -55.0 0.0 -55
+NULL -56 1969-12-31 16:00:13.602 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.9683 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
+NULL -56 1969-12-31 16:00:13.958 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.9683 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
+NULL -56 1969-12-31 16:00:15.038 -56.0 NULL 56 -56 0 -56.0 -0.0 56.0 -4454.9683 0.0 56.0 0.0 -10.175 -56.0 0.4692857142857143 -56.0 0.0 -56
+NULL -57 1969-12-31 16:00:11.451 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
+NULL -57 1969-12-31 16:00:11.883 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
+NULL -57 1969-12-31 16:00:12.626 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
+NULL -57 1969-12-31 16:00:13.578 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
+NULL -57 1969-12-31 16:00:15.39 -57.0 NULL 57 -57 0 -57.0 -0.0 57.0 -4534.521 0.0 57.0 0.0 -10.175 -57.0 0.4610526315789474 -57.0 0.0 -57
+NULL -58 1969-12-31 16:00:12.065 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
+NULL -58 1969-12-31 16:00:12.683 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
+NULL -58 1969-12-31 16:00:12.948 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
+NULL -58 1969-12-31 16:00:14.066 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
+NULL -58 1969-12-31 16:00:15.658 -58.0 NULL 58 -58 0 -58.0 -0.0 58.0 -4614.074 0.0 58.0 0.0 -10.175 -58.0 0.4531034482758621 -58.0 0.0 -58
+NULL -59 1969-12-31 16:00:12.008 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:13.15 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:13.625 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:15.296 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -59 1969-12-31 16:00:15.861 -59.0 NULL 59 -59 0 -59.0 -0.0 59.0 -4693.627 0.0 59.0 0.0 -10.175 -59.0 0.44542372881355935 -59.0 0.0 -59
+NULL -60 1969-12-31 16:00:11.504 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
+NULL -60 1969-12-31 16:00:11.641 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
+NULL -60 1969-12-31 16:00:11.996 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
+NULL -60 1969-12-31 16:00:12.779 -60.0 NULL 60 -60 0 -60.0 -0.0 60.0 -4773.18 0.0 60.0 0.0 -10.175 -60.0 0.438 -60.0 0.0 -60
+NULL -61 1969-12-31 16:00:11.842 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:12.454 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:14.192 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:16.558 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -62 1969-12-31 16:00:12.388 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:12.591 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.154 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.247 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.517 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.965 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -63 1969-12-31 16:00:11.946 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:12.188 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:15.436 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -64 1969-12-31 16:00:11.912 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:12.339 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:13.274 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+PREHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > -1.388)
+ AND ((ctimestamp2 != -1.3359999999999999)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION EXPRESSION
+SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > -1.388)
+ AND ((ctimestamp2 != -1.3359999999999999)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterDoubleColLessDoubleScalar(col 4:float, val 3569.0), FilterDoubleScalarGreaterEqualDoubleColumn(val 10.175, col 5:double), FilterLongColNotEqualLongScalar(col 10:boolean, val 1)), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleScalar(col 13:double, val -1.388)(children: CastTimestampToDouble(col 8:timestamp) -> 13:double), FilterDoubleColNotEqualDoubleScalar(col 13:double, val -1.3359999999999999)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterDecimalColLessDecimalScalar(col 14:decimal(11,4), val 9763215.5639)(children: CastLongToDecimal(col 0:tinyint) -> 14:decimal(11,4))))
+ predicate: (((UDFToDouble(ctimestamp1) > -1.388) and (UDFToDouble(ctimestamp2) <> -1.3359999999999999) and (CAST( ctinyint AS decimal(11,4)) < 9763215.5639)) or ((cfloat < 3569) and (10.175 >= cdouble) and (cboolean1 <> 1))) (type: boolean)
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cfloat (type: float), cstring1 (type: string), ctimestamp1 (type: timestamp), cboolean1 (type: boolean)
+ outputColumnNames: ctinyint, cfloat, cstring1, ctimestamp1, cboolean1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 4, 6, 8, 10]
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: max(ctinyint), sum(cfloat), stddev_pop(cfloat), stddev_pop(ctinyint), max(cfloat), min(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFMaxLong(col 0:tinyint) -> tinyint, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFMaxDouble(col 4:float) -> float, VectorUDAFMinLong(col 0:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 10:boolean, col 0:tinyint, col 8:timestamp, col 4:float, col 6:string
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ keys: cboolean1 (type: boolean), ctinyint (type: tinyint), ctimestamp1 (type: timestamp), cfloat (type: float), cstring1 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string)
+ sort order: +++++
+ Map-reduce partition columns: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 2730 Data size: 32760 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col5 (type: tinyint), _col6 (type: double), _col7 (type: struct<count:bigint,sum:double,variance:double>), _col8 (type: struct<count:bigint,sum:double,variance:double>), _col9 (type: float), _col10 (type: tinyint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: max(VALUE._col0), sum(VALUE._col1), stddev_pop(VALUE._col2), stddev_pop(VALUE._col3), max(VALUE._col4), min(VALUE._col5)
+ keys: KEY._col0 (type: boolean), KEY._col1 (type: tinyint), KEY._col2 (type: timestamp), KEY._col3 (type: float), KEY._col4 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), (- _col1) (type: tinyint), _col5 (type: tinyint), ((- _col1) + _col5) (type: tinyint), _col6 (type: double), (_col6 * UDFToDouble(((- _col1) + _col5))) (type: double), (- _col6) (type: double), (79.553 * _col3) (type: float), _col7 (type: double), (- _col6) (type: double), _col8 (type: double), (CAST( ((- _col1) + _col5) AS decimal(3,0)) - 10.175) (type: decimal(7,3)), (- (- _col6)) (type: double), (-26.28 / (- (- _col6))) (type: double), _col9 (type: float), ((_col6 * UDFToDouble(((- _col1) + _col5))) / UDFToDouble(_col1)) (type: double), _col10 (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ Reduce Output Operator
+ key expressions: _col0 (type: boolean), _col1 (type: tinyint), _col2 (type: timestamp), _col3 (type: float), _col4 (type: string), _col5 (type: tinyint), _col6 (type: tinyint), _col7 (type: tinyint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: float), _col12 (type: double), _col13 (type: double), _col14 (type: double), _col15 (type: decimal(7,3)), _col16 (type: double), _col17 (type: double), _col18 (type: float), _col19 (type: double), _col20 (type: tinyint)
+ sort order: +++++++++++++++++++++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: boolean), KEY.reducesinkkey1 (type: tinyint), KEY.reducesinkkey2 (type: timestamp), KEY.reducesinkkey3 (type: float), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: tinyint), KEY.reducesinkkey6 (type: tinyint), KEY.reducesinkkey7 (type: tinyint), KEY.reducesinkkey8 (type: double), KEY.reducesinkkey9 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey11 (type: float), KEY.reducesinkkey12 (type: double), KEY.reducesinkkey10 (type: double), KEY.reducesinkkey14 (type: double), KEY.reducesinkkey15 (type: decimal(7,3)), KEY.reducesinkkey16 (type: double), KEY.reducesinkkey17 (type: double), KEY.reducesinkkey18 (type: float), KEY.reducesinkkey19 (type: double), KEY.reducesinkkey20 (type: tinyint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Statistics: Num rows: 1365 Data size: 16380 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 40
+ Statistics: Num rows: 40 Data size: 480 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 40 Data size: 480 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 40
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > -1.388)
+ AND ((ctimestamp2 != -1.3359999999999999)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cboolean1,
+ ctinyint,
+ ctimestamp1,
+ cfloat,
+ cstring1,
+ (-(ctinyint)) as c1,
+ MAX(ctinyint) as c2,
+ ((-(ctinyint)) + MAX(ctinyint)) as c3,
+ SUM(cfloat) as c4,
+ (SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) as c5,
+ (-(SUM(cfloat))) as c6,
+ (79.553 * cfloat) as c7,
+ STDDEV_POP(cfloat) as c8,
+ (-(SUM(cfloat))) as c9,
+ STDDEV_POP(ctinyint) as c10,
+ (((-(ctinyint)) + MAX(ctinyint)) - 10.175) as c11,
+ (-((-(SUM(cfloat))))) as c12,
+ (-26.28 / (-((-(SUM(cfloat)))))) as c13,
+ MAX(cfloat) as c14,
+ ((SUM(cfloat) * ((-(ctinyint)) + MAX(ctinyint))) / ctinyint) as c15,
+ MIN(ctinyint) as c16
+FROM alltypesparquet
+WHERE (((cfloat < 3569)
+ AND ((10.175 >= cdouble)
+ AND (cboolean1 != 1)))
+ OR ((ctimestamp1 > -1.388)
+ AND ((ctimestamp2 != -1.3359999999999999)
+ AND (ctinyint < 9763215.5639))))
+GROUP BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1
+ORDER BY cboolean1, ctinyint, ctimestamp1, cfloat, cstring1, c1, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12, c13, c14, c15, c16
+LIMIT 40
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+NULL -61 1969-12-31 16:00:00.142 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:02.698 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:03.049 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:04.165 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -61 1969-12-31 16:00:04.977 -61.0 NULL 61 -61 0 -61.0 -0.0 61.0 -4852.733 0.0 61.0 0.0 -10.175 -61.0 0.4308196721311476 -61.0 0.0 -61
+NULL -62 1969-12-31 16:00:00.037 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:01.22 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:01.515 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:01.734 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:02.373 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:03.85 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:08.198 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:09.025 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:09.889 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:10.069 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:10.225 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:10.485 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:12.388 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:12.591 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.154 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.247 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.517 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -62 1969-12-31 16:00:14.965 -62.0 NULL 62 -62 0 -62.0 -0.0 62.0 -4932.286 0.0 62.0 0.0 -10.175 -62.0 0.4238709677419355 -62.0 0.0 -62
+NULL -63 1969-12-31 16:00:01.843 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:03.552 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:06.852 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:07.375 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:10.205 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:11.946 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:12.188 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -63 1969-12-31 16:00:15.436 -63.0 NULL 63 -63 0 -63.0 -0.0 63.0 -5011.839 0.0 63.0 0.0 -10.175 -63.0 0.41714285714285715 -63.0 0.0 -63
+NULL -64 1969-12-31 16:00:00.199 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:00.29 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:01.785 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:03.944 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:05.997 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:10.858 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:11.912 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:12.339 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
+NULL -64 1969-12-31 16:00:13.274 -64.0 NULL 64 -64 0 -64.0 -0.0 64.0 -5091.392 0.0 64.0 0.0 -10.175 -64.0 0.410625 -64.0 0.0 -64
[25/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_12.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_12.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_12.q.out
new file mode 100644
index 0000000..a9215d5
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_12.q.out
@@ -0,0 +1,815 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cbigint,
+ cboolean1,
+ cstring1,
+ ctimestamp1,
+ cdouble,
+ (-6432 * cdouble),
+ (-(cbigint)),
+ COUNT(cbigint),
+ (cbigint * COUNT(cbigint)),
+ STDDEV_SAMP(cbigint),
+ ((-6432 * cdouble) / -6432),
+ (-(((-6432 * cdouble) / -6432))),
+ AVG(cdouble),
+ (-((-6432 * cdouble))),
+ (-5638.15 + cbigint),
+ SUM(cbigint),
+ (AVG(cdouble) / (-6432 * cdouble)),
+ AVG(cdouble),
+ (-((-(((-6432 * cdouble) / -6432))))),
+ (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))),
+ STDDEV_POP(cdouble)
+FROM alltypesparquet
+WHERE (((ctimestamp1 IS NULL)
+ AND ((cboolean1 >= cboolean2)
+ OR (ctinyint != csmallint)))
+ AND ((cstring1 LIKE '%a')
+ OR ((cboolean2 <= 1)
+ AND (cbigint >= csmallint))))
+GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble
+ORDER BY ctimestamp1, cdouble, cbigint, cstring1
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cbigint,
+ cboolean1,
+ cstring1,
+ ctimestamp1,
+ cdouble,
+ (-6432 * cdouble),
+ (-(cbigint)),
+ COUNT(cbigint),
+ (cbigint * COUNT(cbigint)),
+ STDDEV_SAMP(cbigint),
+ ((-6432 * cdouble) / -6432),
+ (-(((-6432 * cdouble) / -6432))),
+ AVG(cdouble),
+ (-((-6432 * cdouble))),
+ (-5638.15 + cbigint),
+ SUM(cbigint),
+ (AVG(cdouble) / (-6432 * cdouble)),
+ AVG(cdouble),
+ (-((-(((-6432 * cdouble) / -6432))))),
+ (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))),
+ STDDEV_POP(cdouble)
+FROM alltypesparquet
+WHERE (((ctimestamp1 IS NULL)
+ AND ((cboolean1 >= cboolean2)
+ OR (ctinyint != csmallint)))
+ AND ((cstring1 LIKE '%a')
+ OR ((cboolean2 <= 1)
+ AND (cbigint >= csmallint))))
+GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble
+ORDER BY ctimestamp1, cdouble, cbigint, cstring1
+POSTHOOK: type: QUERY
+PLAN VECTORIZATION:
+ enabled: true
+ enabledConditionsMet: [hive.vectorized.execution.enabled IS true]
+
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-2 depends on stages: Stage-1
+ Stage-0 depends on stages: Stage-2
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: SelectColumnIsNull(col 8:timestamp), FilterExprOrExpr(children: FilterLongColGreaterEqualLongColumn(col 10:boolean, col 11:boolean), FilterLongColNotEqualLongColumn(col 0:smallint, col 1:smallint)(children: col 0:tinyint)), FilterExprOrExpr(children: FilterStringColLikeStringScalar(col 6:string, pattern %a), FilterExprAndExpr(children: FilterLongColLessEqualLongScalar(col 11:boolean, val 1), FilterLongColGreaterEqualLongColumn(col 3:bigint, col 1:bigint)(children: col 1:smallint))))
+ predicate: (((cboolean1 >= cboolean2) or (UDFToShort(ctinyint) <> csmallint)) and ((cstring1 like '%a') or ((cboolean2 <= 1) and (cbigint >= UDFToLong(csmallint)))) and ctimestamp1 is null) (type: boolean)
+ Statistics: Num rows: 3754 Data size: 45048 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cbigint (type: bigint), cdouble (type: double), cstring1 (type: string), cboolean1 (type: boolean)
+ outputColumnNames: cbigint, cdouble, cstring1, cboolean1
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [3, 5, 6, 10]
+ Statistics: Num rows: 3754 Data size: 45048 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count(cbigint), stddev_samp(cbigint), avg(cdouble), sum(cbigint), stddev_pop(cdouble)
+ Group By Vectorization:
+ aggregators: VectorUDAFCount(col 3:bigint) -> bigint, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFAvgDouble(col 5:double) -> struct<count:bigint,sum:double,input:double>, VectorUDAFSumLong(col 3:bigint) -> bigint, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ keyExpressions: col 5:double, col 3:bigint, col 6:string, col 10:boolean
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
+ keys: cdouble (type: double), cbigint (type: bigint), cstring1 (type: string), cboolean1 (type: boolean)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Statistics: Num rows: 3754 Data size: 45048 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: double), _col1 (type: bigint), _col2 (type: string), _col3 (type: boolean)
+ sort order: ++++
+ Map-reduce partition columns: _col0 (type: double), _col1 (type: bigint), _col2 (type: string), _col3 (type: boolean)
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 3754 Data size: 45048 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col4 (type: bigint), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: struct<count:bigint,sum:double,input:double>), _col7 (type: bigint), _col8 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 3, 5, 6, 8, 10, 11]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0), stddev_samp(VALUE._col1), avg(VALUE._col2), sum(VALUE._col3), stddev_pop(VALUE._col4)
+ keys: KEY._col0 (type: double), KEY._col1 (type: bigint), KEY._col2 (type: string), KEY._col3 (type: boolean)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8
+ Statistics: Num rows: 1877 Data size: 22524 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: bigint), _col3 (type: boolean), _col2 (type: string), _col0 (type: double), (-6432.0 * _col0) (type: double), (- _col1) (type: bigint), _col4 (type: bigint), (_col1 * _col4) (type: bigint), _col5 (type: double), ((-6432.0 * _col0) / -6432.0) (type: double), (- ((-6432.0 * _col0) / -6432.0)) (type: double), _col6 (type: double), (- (-6432.0 * _col0)) (type: double), (-5638.15 + CAST( _col1 AS decimal(19,0))) (type: decimal(22,2)), _col7 (type: bigint), (_col6 / (-6432.0 * _col0)) (type: double), (- (- ((-6432.0 * _col0) / -6432.0))) (type: double), (((-6432.0 * _col0) / -6432.0) + (- (-6432.0 * _col0))) (type: double), _col8 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col17, _col18, _col19
+ Statistics: Num rows: 1877 Data size: 22524 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazybinary.LazyBinarySerDe
+
+ Stage: Stage-2
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:_col0:bigint, 1:_col1:boolean, 2:_col2:string, 3:_col3:double, 4:_col4:double, 5:_col5:bigint, 6:_col6:bigint, 7:_col7:bigint, 8:_col8:double, 9:_col9:double, 10:_col10:double, 11:_col11:double, 12:_col12:double, 13:_col13:decimal(22,2), 14:_col14:bigint, 15:_col15:double, 16:_col17:double, 17:_col18:double, 18:_col19:double]
+ Reduce Output Operator
+ key expressions: _col3 (type: double), _col0 (type: bigint), _col2 (type: string)
+ sort order: +++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1877 Data size: 22524 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: boolean), _col4 (type: double), _col5 (type: bigint), _col6 (type: bigint), _col7 (type: bigint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: double), _col12 (type: double), _col13 (type: decimal(22,2)), _col14 (type: bigint), _col15 (type: double), _col17 (type: double), _col18 (type: double), _col19 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vector.serde.deserialize IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.mapred.SequenceFileInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 19
+ includeColumns: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18]
+ dataColumns: _col0:bigint, _col1:boolean, _col2:string, _col3:double, _col4:double, _col5:bigint, _col6:bigint, _col7:bigint, _col8:double, _col9:double, _col10:double, _col11:double, _col12:double, _col13:decimal(22,2), _col14:bigint, _col15:double, _col17:double, _col18:double, _col19:double
+ partitionColumnCount: 0
+ scratchColumnTypeNames: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey1 (type: bigint), VALUE._col0 (type: boolean), KEY.reducesinkkey2 (type: string), null (type: timestamp), KEY.reducesinkkey0 (type: double), VALUE._col1 (type: double), VALUE._col2 (type: bigint), VALUE._col3 (type: bigint), VALUE._col4 (type: bigint), VALUE._col5 (type: double), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: double), VALUE._col9 (type: double), VALUE._col10 (type: decimal(22,2)), VALUE._col11 (type: bigint), VALUE._col12 (type: double), VALUE._col8 (type: double), VALUE._col13 (type: double), VALUE._col14 (type: double), VALUE._col15 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15, _col16, _col17, _col18, _col19, _col20
+ Statistics: Num rows: 1877 Data size: 22524 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1877 Data size: 22524 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cbigint,
+ cboolean1,
+ cstring1,
+ ctimestamp1,
+ cdouble,
+ (-6432 * cdouble),
+ (-(cbigint)),
+ COUNT(cbigint),
+ (cbigint * COUNT(cbigint)),
+ STDDEV_SAMP(cbigint),
+ ((-6432 * cdouble) / -6432),
+ (-(((-6432 * cdouble) / -6432))),
+ AVG(cdouble),
+ (-((-6432 * cdouble))),
+ (-5638.15 + cbigint),
+ SUM(cbigint),
+ (AVG(cdouble) / (-6432 * cdouble)),
+ AVG(cdouble),
+ (-((-(((-6432 * cdouble) / -6432))))),
+ (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))),
+ STDDEV_POP(cdouble)
+FROM alltypesparquet
+WHERE (((ctimestamp1 IS NULL)
+ AND ((cboolean1 >= cboolean2)
+ OR (ctinyint != csmallint)))
+ AND ((cstring1 LIKE '%a')
+ OR ((cboolean2 <= 1)
+ AND (cbigint >= csmallint))))
+GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble
+ORDER BY ctimestamp1, cdouble, cbigint, cstring1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cbigint,
+ cboolean1,
+ cstring1,
+ ctimestamp1,
+ cdouble,
+ (-6432 * cdouble),
+ (-(cbigint)),
+ COUNT(cbigint),
+ (cbigint * COUNT(cbigint)),
+ STDDEV_SAMP(cbigint),
+ ((-6432 * cdouble) / -6432),
+ (-(((-6432 * cdouble) / -6432))),
+ AVG(cdouble),
+ (-((-6432 * cdouble))),
+ (-5638.15 + cbigint),
+ SUM(cbigint),
+ (AVG(cdouble) / (-6432 * cdouble)),
+ AVG(cdouble),
+ (-((-(((-6432 * cdouble) / -6432))))),
+ (((-6432 * cdouble) / -6432) + (-((-6432 * cdouble)))),
+ STDDEV_POP(cdouble)
+FROM alltypesparquet
+WHERE (((ctimestamp1 IS NULL)
+ AND ((cboolean1 >= cboolean2)
+ OR (ctinyint != csmallint)))
+ AND ((cstring1 LIKE '%a')
+ OR ((cboolean2 <= 1)
+ AND (cbigint >= csmallint))))
+GROUP BY cbigint, cboolean1, cstring1, ctimestamp1, cdouble
+ORDER BY ctimestamp1, cdouble, cbigint, cstring1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
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+1864027286 true W2mhptJ NULL 8246.0 -5.3038272E7 -1864027286 1 1864027286 NULL 8246.0 -8246.0 8246.0 5.3038272E7 1864021647.85 1864027286 -1.554726368159204E-4 8246.0 8246.0 5.3046518E7 0.0
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<TRUNCATED>
[21/32] hive git commit: HIVE-17528 : Add more q-tests for
Hive-on-Spark with Parquet vectorized reader (Ferdinand Xu,
reviewed by Vihang Karajgaonkar)
Posted by xu...@apache.org.
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_17.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_17.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_17.q.out
new file mode 100644
index 0000000..8f26d41
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_17.q.out
@@ -0,0 +1,536 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cfloat,
+ cstring1,
+ cint,
+ ctimestamp1,
+ cdouble,
+ cbigint,
+ (cfloat / ctinyint),
+ (cint % cbigint),
+ (-(cdouble)),
+ (cdouble + (cfloat / ctinyint)),
+ (cdouble / cint),
+ (-((-(cdouble)))),
+ (9763215.5639 % cbigint),
+ (2563.58 + (-((-(cdouble)))))
+FROM alltypesparquet
+WHERE (((cbigint > -23)
+ AND ((cdouble != 988888)
+ OR (cint > -863.257)))
+ AND ((ctinyint >= 33)
+ OR ((csmallint >= cbigint)
+ OR (cfloat = cdouble))))
+ORDER BY cbigint, cfloat
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT cfloat,
+ cstring1,
+ cint,
+ ctimestamp1,
+ cdouble,
+ cbigint,
+ (cfloat / ctinyint),
+ (cint % cbigint),
+ (-(cdouble)),
+ (cdouble + (cfloat / ctinyint)),
+ (cdouble / cint),
+ (-((-(cdouble)))),
+ (9763215.5639 % cbigint),
+ (2563.58 + (-((-(cdouble)))))
+FROM alltypesparquet
+WHERE (((cbigint > -23)
+ AND ((cdouble != 988888)
+ OR (cint > -863.257)))
+ AND ((ctinyint >= 33)
+ OR ((csmallint >= cbigint)
+ OR (cfloat = cdouble))))
+ORDER BY cbigint, cfloat
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprAndExpr(children: FilterLongColGreaterLongScalar(col 3:bigint, val -23), FilterExprOrExpr(children: FilterDoubleColNotEqualDoubleScalar(col 5:double, val 988888.0), FilterDecimalColGreaterDecimalScalar(col 13:decimal(13,3), val -863.257)(children: CastLongToDecimal(col 2:int) -> 13:decimal(13,3))), FilterExprOrExpr(children: FilterLongColGreaterEqualLongScalar(col 0:tinyint, val 33), FilterLongColGreaterEqualLongColumn(col 1:bigint, col 3:bigint)(children: col 1:smallint), FilterDoubleColEqualDoubleColumn(col 4:double, col 5:double)(children: col 4:float)))
+ predicate: (((cdouble <> 988888.0) or (CAST( cint AS decimal(13,3)) > -863.257)) and ((ctinyint >= 33) or (UDFToLong(csmallint) >= cbigint) or (UDFToDouble(cfloat) = cdouble)) and (cbigint > -23)) (type: boolean)
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cfloat (type: float), cstring1 (type: string), cint (type: int), ctimestamp1 (type: timestamp), cdouble (type: double), cbigint (type: bigint), (UDFToDouble(cfloat) / UDFToDouble(ctinyint)) (type: double), (UDFToLong(cint) % cbigint) (type: bigint), (- cdouble) (type: double), (cdouble + (UDFToDouble(cfloat) / UDFToDouble(ctinyint))) (type: double), (cdouble / UDFToDouble(cint)) (type: double), (- (- cdouble)) (type: double), (9763215.5639 % CAST( cbigint AS decimal(19,0))) (type: decimal(11,4)), (2563.58 + (- (- cdouble))) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [4, 6, 2, 8, 5, 3, 15, 16, 14, 17, 19, 20, 22, 18]
+ selectExpressions: DoubleColDivideDoubleColumn(col 4:double, col 14:double)(children: col 4:float, CastLongToDouble(col 0:tinyint) -> 14:double) -> 15:double, LongColModuloLongColumn(col 2:bigint, col 3:bigint)(children: col 2:int) -> 16:bigint, DoubleColUnaryMinus(col 5:double) -> 14:double, DoubleColAddDoubleColumn(col 5:double, col 18:double)(children: DoubleColDivideDoubleColumn(col 4:double, col 17:double)(children: col 4:float, CastLongToDouble(col 0:tinyint) -> 17:double) -> 18:double) -> 17:double, DoubleColDivideDoubleColumn(col 5:double, col 18:double)(children: CastLongToDouble(col 2:int) -> 18:double) -> 19:double, DoubleColUnaryMinus(col 18:double)(children: DoubleColUnaryMinus(col 5:double) -> 18:double) -> 20:double, DecimalScalarModuloDecimalColumn(val 9763215.5639, col 21:decimal(19,0))(children: CastLongToDecimal(col 3:bigint) -> 21:decimal(19,0)) -> 22:decimal(11,4), DoubleScalarAddDoubleColumn(val 2563.58, col 23:double)(children: DoubleColUna
ryMinus(col 18:double)(children: DoubleColUnaryMinus(col 5:double) -> 18:double) -> 23:double) -> 18:double
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col5 (type: bigint), _col0 (type: float)
+ sort order: ++
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: string), _col2 (type: int), _col3 (type: timestamp), _col4 (type: double), _col6 (type: double), _col7 (type: bigint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: double), _col12 (type: decimal(11,4)), _col13 (type: double)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 4, 5, 6, 8]
+ 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: [decimal(13,3), double, double, bigint, double, double, double, double, decimal(19,0), decimal(11,4), double]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey1 (type: float), VALUE._col0 (type: string), VALUE._col1 (type: int), VALUE._col2 (type: timestamp), VALUE._col3 (type: double), KEY.reducesinkkey0 (type: bigint), VALUE._col4 (type: double), VALUE._col5 (type: bigint), VALUE._col6 (type: double), VALUE._col7 (type: double), VALUE._col8 (type: double), VALUE._col9 (type: double), VALUE._col10 (type: decimal(11,4)), VALUE._col11 (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Statistics: Num rows: 4096 Data size: 49152 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 4096 Data size: 49152 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT cfloat,
+ cstring1,
+ cint,
+ ctimestamp1,
+ cdouble,
+ cbigint,
+ (cfloat / ctinyint),
+ (cint % cbigint),
+ (-(cdouble)),
+ (cdouble + (cfloat / ctinyint)),
+ (cdouble / cint),
+ (-((-(cdouble)))),
+ (9763215.5639 % cbigint),
+ (2563.58 + (-((-(cdouble)))))
+FROM alltypesparquet
+WHERE (((cbigint > -23)
+ AND ((cdouble != 988888)
+ OR (cint > -863.257)))
+ AND ((ctinyint >= 33)
+ OR ((csmallint >= cbigint)
+ OR (cfloat = cdouble))))
+ORDER BY cbigint, cfloat
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT cfloat,
+ cstring1,
+ cint,
+ ctimestamp1,
+ cdouble,
+ cbigint,
+ (cfloat / ctinyint),
+ (cint % cbigint),
+ (-(cdouble)),
+ (cdouble + (cfloat / ctinyint)),
+ (cdouble / cint),
+ (-((-(cdouble)))),
+ (9763215.5639 % cbigint),
+ (2563.58 + (-((-(cdouble)))))
+FROM alltypesparquet
+WHERE (((cbigint > -23)
+ AND ((cdouble != 988888)
+ OR (cint > -863.257)))
+ AND ((ctinyint >= 33)
+ OR ((csmallint >= cbigint)
+ OR (cfloat = cdouble))))
+ORDER BY cbigint, cfloat
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
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+61.0 NULL NULL 1969-12-31 16:00:09.251 -7196.0 1429349855 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+61.0 NULL NULL 1969-12-31 16:00:11.132 -7196.0 1652808422 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+61.0 NULL NULL 1969-12-31 16:00:13.868 -7196.0 1875242301 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+61.0 NULL NULL 1969-12-31 16:00:15.143 -7196.0 838733994 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 15:59:46.338 -200.0 175991222 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+62.0 NULL NULL 1969-12-31 15:59:48.734 -7196.0 1602156586 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 15:59:49.053 -200.0 1277284867 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+62.0 NULL NULL 1969-12-31 15:59:54.116 15601.0 158194463 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+62.0 NULL NULL 1969-12-31 15:59:54.256 -7196.0 524247756 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 15:59:54.762 -200.0 1011458748 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+62.0 NULL NULL 1969-12-31 16:00:02.38 -7196.0 1733885960 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 16:00:04.967 -200.0 988888 1.0 NULL 200.0 -199.0 NULL -200.0 863223.5639 2363.58
+62.0 NULL NULL 1969-12-31 16:00:07.828 -200.0 1801868132 1.0 NULL 200.0 -199.0 NULL -200.0 9763215.5639 2363.58
+62.0 NULL NULL 1969-12-31 16:00:10.51 15601.0 1815385311 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+62.0 NULL NULL 1969-12-31 16:00:12.36 -7196.0 176172843 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 16:00:12.762 -7196.0 1034824629 1.0 NULL 7196.0 -7195.0 NULL -7196.0 9763215.5639 -4632.42
+62.0 NULL NULL 1969-12-31 16:00:14.982 15601.0 107241980 1.0 NULL -15601.0 15602.0 NULL 15601.0 9763215.5639 18164.58
+79.553 NULL NULL 1969-12-31 16:00:00.761 -7196.0 514550698 2.410697012236624 NULL 7196.0 -7193.589302987763 NULL -7196.0 9763215.5639 -4632.42
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_2.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_2.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_2.q.out
new file mode 100644
index 0000000..ebef240
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_2.q.out
@@ -0,0 +1,193 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT AVG(csmallint),
+ (AVG(csmallint) % -563),
+ (AVG(csmallint) + 762),
+ SUM(cfloat),
+ VAR_POP(cbigint),
+ (-(VAR_POP(cbigint))),
+ (SUM(cfloat) - AVG(csmallint)),
+ COUNT(*),
+ (-((SUM(cfloat) - AVG(csmallint)))),
+ (VAR_POP(cbigint) - 762),
+ MIN(ctinyint),
+ ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
+ AVG(cdouble),
+ (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
+FROM alltypesparquet
+WHERE (((ctimestamp1 < ctimestamp2)
+ AND ((cstring2 LIKE 'b%')
+ AND (cfloat <= -5638.15)))
+ OR ((cdouble < ctinyint)
+ AND ((-10669 != ctimestamp2)
+ OR (359 > cint))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT AVG(csmallint),
+ (AVG(csmallint) % -563),
+ (AVG(csmallint) + 762),
+ SUM(cfloat),
+ VAR_POP(cbigint),
+ (-(VAR_POP(cbigint))),
+ (SUM(cfloat) - AVG(csmallint)),
+ COUNT(*),
+ (-((SUM(cfloat) - AVG(csmallint)))),
+ (VAR_POP(cbigint) - 762),
+ MIN(ctinyint),
+ ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
+ AVG(cdouble),
+ (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
+FROM alltypesparquet
+WHERE (((ctimestamp1 < ctimestamp2)
+ AND ((cstring2 LIKE 'b%')
+ AND (cfloat <= -5638.15)))
+ OR ((cdouble < ctinyint)
+ AND ((-10669 != ctimestamp2)
+ OR (359 > cint))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterTimestampColLessTimestampColumn(col 8:timestamp, col 9:timestamp), FilterStringColLikeStringScalar(col 7:string, pattern b%), FilterDoubleColLessEqualDoubleScalar(col 4:float, val -5638.14990234375)), FilterExprAndExpr(children: FilterDoubleColLessDoubleColumn(col 5:double, col 13:double)(children: CastLongToDouble(col 0:tinyint) -> 13:double), FilterExprOrExpr(children: FilterDoubleScalarNotEqualDoubleColumn(val -10669.0, col 13:double)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double), FilterLongScalarGreaterLongColumn(val 359, col 2:int))))
+ predicate: (((cdouble < UDFToDouble(ctinyint)) and ((-10669.0 <> UDFToDouble(ctimestamp2)) or (359 > cint))) or ((ctimestamp1 < ctimestamp2) and (cstring2 like 'b%') and (cfloat <= -5638.15))) (type: boolean)
+ Statistics: Num rows: 4778 Data size: 57336 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), csmallint (type: smallint), cbigint (type: bigint), cfloat (type: float), cdouble (type: double)
+ outputColumnNames: ctinyint, csmallint, cbigint, cfloat, cdouble
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 3, 4, 5]
+ Statistics: Num rows: 4778 Data size: 57336 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: avg(csmallint), sum(cfloat), var_pop(cbigint), count(), min(ctinyint), avg(cdouble)
+ Group By Vectorization:
+ aggregators: VectorUDAFAvgLong(col 1:smallint) -> struct<count:bigint,sum:double,input:smallint>, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFVarLong(col 3:bigint) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFCountStar(*) -> bigint, VectorUDAFMinLong(col 0:tinyint) -> tinyint, VectorUDAFAvgDouble(col 5:double) -> struct<count:bigint,sum:double,input:double>
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,input:smallint>), _col1 (type: double), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: bigint), _col4 (type: tinyint), _col5 (type: struct<count:bigint,sum:double,input:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 4, 5, 7, 8, 9]
+ 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: [double]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: avg(VALUE._col0), sum(VALUE._col1), var_pop(VALUE._col2), count(VALUE._col3), min(VALUE._col4), avg(VALUE._col5)
+ 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 (type: double), (_col0 % -563.0) (type: double), (_col0 + 762.0) (type: double), _col1 (type: double), _col2 (type: double), (- _col2) (type: double), (_col1 - _col0) (type: double), _col3 (type: bigint), (- (_col1 - _col0)) (type: double), (_col2 - 762.0) (type: double), _col4 (type: tinyint), ((- _col2) + UDFToDouble(_col4)) (type: double), _col5 (type: double), (((- _col2) + UDFToDouble(_col4)) - _col1) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Statistics: Num rows: 1 Data size: 256 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 256 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT AVG(csmallint),
+ (AVG(csmallint) % -563),
+ (AVG(csmallint) + 762),
+ SUM(cfloat),
+ VAR_POP(cbigint),
+ (-(VAR_POP(cbigint))),
+ (SUM(cfloat) - AVG(csmallint)),
+ COUNT(*),
+ (-((SUM(cfloat) - AVG(csmallint)))),
+ (VAR_POP(cbigint) - 762),
+ MIN(ctinyint),
+ ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
+ AVG(cdouble),
+ (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
+FROM alltypesparquet
+WHERE (((ctimestamp1 < ctimestamp2)
+ AND ((cstring2 LIKE 'b%')
+ AND (cfloat <= -5638.15)))
+ OR ((cdouble < ctinyint)
+ AND ((-10669 != ctimestamp2)
+ OR (359 > cint))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT AVG(csmallint),
+ (AVG(csmallint) % -563),
+ (AVG(csmallint) + 762),
+ SUM(cfloat),
+ VAR_POP(cbigint),
+ (-(VAR_POP(cbigint))),
+ (SUM(cfloat) - AVG(csmallint)),
+ COUNT(*),
+ (-((SUM(cfloat) - AVG(csmallint)))),
+ (VAR_POP(cbigint) - 762),
+ MIN(ctinyint),
+ ((-(VAR_POP(cbigint))) + MIN(ctinyint)),
+ AVG(cdouble),
+ (((-(VAR_POP(cbigint))) + MIN(ctinyint)) - SUM(cfloat))
+FROM alltypesparquet
+WHERE (((ctimestamp1 < ctimestamp2)
+ AND ((cstring2 LIKE 'b%')
+ AND (cfloat <= -5638.15)))
+ OR ((cdouble < ctinyint)
+ AND ((-10669 != ctimestamp2)
+ OR (359 > cint))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-5646.467075892857 -16.467075892856883 -4884.467075892857 -2839.634998679161 1.49936299222378778E18 -1.49936299222378778E18 2806.832077213696 3584 -2806.832077213696 1.49936299222378701E18 -64 -1.49936299222378778E18 -5650.1297631138395 -1.49936299222378496E18
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_3.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_3.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_3.q.out
new file mode 100644
index 0000000..2abe821
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_3.q.out
@@ -0,0 +1,203 @@
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT STDDEV_SAMP(csmallint),
+ (STDDEV_SAMP(csmallint) - 10.175),
+ STDDEV_POP(ctinyint),
+ (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
+ (-(STDDEV_POP(ctinyint))),
+ (STDDEV_SAMP(csmallint) % 79.553),
+ (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
+ STDDEV_SAMP(cfloat),
+ (-(STDDEV_SAMP(csmallint))),
+ SUM(cfloat),
+ ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
+ (-((STDDEV_SAMP(csmallint) - 10.175))),
+ AVG(cint),
+ (-3728 - STDDEV_SAMP(csmallint)),
+ STDDEV_POP(cint),
+ (AVG(cint) / STDDEV_SAMP(cfloat))
+FROM alltypesparquet
+WHERE (((cint <= cfloat)
+ AND ((79.553 != cbigint)
+ AND (ctimestamp2 = -29071)))
+ OR ((cbigint > cdouble)
+ AND ((79.553 <= csmallint)
+ AND (ctimestamp1 > ctimestamp2))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT STDDEV_SAMP(csmallint),
+ (STDDEV_SAMP(csmallint) - 10.175),
+ STDDEV_POP(ctinyint),
+ (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
+ (-(STDDEV_POP(ctinyint))),
+ (STDDEV_SAMP(csmallint) % 79.553),
+ (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
+ STDDEV_SAMP(cfloat),
+ (-(STDDEV_SAMP(csmallint))),
+ SUM(cfloat),
+ ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
+ (-((STDDEV_SAMP(csmallint) - 10.175))),
+ AVG(cint),
+ (-3728 - STDDEV_SAMP(csmallint)),
+ STDDEV_POP(cint),
+ (AVG(cint) / STDDEV_SAMP(cfloat))
+FROM alltypesparquet
+WHERE (((cint <= cfloat)
+ AND ((79.553 != cbigint)
+ AND (ctimestamp2 = -29071)))
+ OR ((cbigint > cdouble)
+ AND ((79.553 <= csmallint)
+ AND (ctimestamp1 > ctimestamp2))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterExprAndExpr(children: FilterDoubleColLessEqualDoubleColumn(col 13:float, col 4:float)(children: CastLongToFloatViaLongToDouble(col 2:int) -> 13:float), FilterDecimalScalarNotEqualDecimalColumn(val 79.553, col 14:decimal(22,3))(children: CastLongToDecimal(col 3:bigint) -> 14:decimal(22,3)), FilterDoubleColEqualDoubleScalar(col 13:double, val -29071.0)(children: CastTimestampToDouble(col 9:timestamp) -> 13:double)), FilterExprAndExpr(children: FilterDoubleColGreaterDoubleColumn(col 13:double, col 5:double)(children: CastLongToDouble(col 3:bigint) -> 13:double), FilterDecimalScalarLessEqualDecimalColumn(val 79.553, col 15:decimal(8,3))(children: CastLongToDecimal(col 1:smallint) -> 15:decimal(8,3)), FilterTimestampColGreaterTimestampColumn(col 8:timestamp, col 9:timestamp)))
+ predicate: (((UDFToDouble(cbigint) > cdouble) and (79.553 <= CAST( csmallint AS decimal(8,3))) and (ctimestamp1 > ctimestamp2)) or ((UDFToFloat(cint) <= cfloat) and (79.553 <> CAST( cbigint AS decimal(22,3))) and (UDFToDouble(ctimestamp2) = -29071.0))) (type: boolean)
+ Statistics: Num rows: 2503 Data size: 30036 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), csmallint (type: smallint), cint (type: int), cfloat (type: float)
+ outputColumnNames: ctinyint, csmallint, cint, cfloat
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 1, 2, 4]
+ Statistics: Num rows: 2503 Data size: 30036 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: stddev_samp(csmallint), stddev_pop(ctinyint), stddev_samp(cfloat), sum(cfloat), avg(cint), stddev_pop(cint)
+ Group By Vectorization:
+ aggregators: VectorUDAFVarLong(col 1:smallint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFVarLong(col 0:tinyint) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFVarDouble(col 4:float) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_samp, VectorUDAFSumDouble(col 4:float) -> double, VectorUDAFAvgLong(col 2:int) -> struct<count:bigint,sum:double,input:int>, VectorUDAFVarLong(col 2:int) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4, 5]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: struct<count:bigint,sum:double,variance:double>), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,variance:double>), _col3 (type: double), _col4 (type: struct<count:bigint,sum:double,input:int>), _col5 (type: struct<count:bigint,sum:double,variance:double>)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 4, 5, 8, 9]
+ 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: [double, decimal(22,3), decimal(8,3)]
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: stddev_samp(VALUE._col0), stddev_pop(VALUE._col1), stddev_samp(VALUE._col2), sum(VALUE._col3), avg(VALUE._col4), stddev_pop(VALUE._col5)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: double), (_col0 - 10.175) (type: double), _col1 (type: double), (_col0 * (_col0 - 10.175)) (type: double), (- _col1) (type: double), (_col0 % 79.553) (type: double), (- (_col0 * (_col0 - 10.175))) (type: double), _col2 (type: double), (- _col0) (type: double), _col3 (type: double), ((- (_col0 * (_col0 - 10.175))) / (_col0 - 10.175)) (type: double), (- (_col0 - 10.175)) (type: double), _col4 (type: double), (-3728.0 - _col0) (type: double), _col5 (type: double), (_col4 / _col2) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15
+ Statistics: Num rows: 1 Data size: 404 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 404 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+WARNING: Comparing a bigint and a double may result in a loss of precision.
+PREHOOK: query: SELECT STDDEV_SAMP(csmallint),
+ (STDDEV_SAMP(csmallint) - 10.175),
+ STDDEV_POP(ctinyint),
+ (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
+ (-(STDDEV_POP(ctinyint))),
+ (STDDEV_SAMP(csmallint) % 79.553),
+ (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
+ STDDEV_SAMP(cfloat),
+ (-(STDDEV_SAMP(csmallint))),
+ SUM(cfloat),
+ ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
+ (-((STDDEV_SAMP(csmallint) - 10.175))),
+ AVG(cint),
+ (-3728 - STDDEV_SAMP(csmallint)),
+ STDDEV_POP(cint),
+ (AVG(cint) / STDDEV_SAMP(cfloat))
+FROM alltypesparquet
+WHERE (((cint <= cfloat)
+ AND ((79.553 != cbigint)
+ AND (ctimestamp2 = -29071)))
+ OR ((cbigint > cdouble)
+ AND ((79.553 <= csmallint)
+ AND (ctimestamp1 > ctimestamp2))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT STDDEV_SAMP(csmallint),
+ (STDDEV_SAMP(csmallint) - 10.175),
+ STDDEV_POP(ctinyint),
+ (STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)),
+ (-(STDDEV_POP(ctinyint))),
+ (STDDEV_SAMP(csmallint) % 79.553),
+ (-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))),
+ STDDEV_SAMP(cfloat),
+ (-(STDDEV_SAMP(csmallint))),
+ SUM(cfloat),
+ ((-((STDDEV_SAMP(csmallint) * (STDDEV_SAMP(csmallint) - 10.175)))) / (STDDEV_SAMP(csmallint) - 10.175)),
+ (-((STDDEV_SAMP(csmallint) - 10.175))),
+ AVG(cint),
+ (-3728 - STDDEV_SAMP(csmallint)),
+ STDDEV_POP(cint),
+ (AVG(cint) / STDDEV_SAMP(cfloat))
+FROM alltypesparquet
+WHERE (((cint <= cfloat)
+ AND ((79.553 != cbigint)
+ AND (ctimestamp2 = -29071)))
+ OR ((cbigint > cdouble)
+ AND ((79.553 <= csmallint)
+ AND (ctimestamp1 > ctimestamp2))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+0.0 -10.175 34.287285216637066 -0.0 -34.287285216637066 0.0 0.0 34.34690095515641 -0.0 197.89499950408936 -0.0 10.175 NULL -3728.0 NULL NULL
http://git-wip-us.apache.org/repos/asf/hive/blob/029e48b7/ql/src/test/results/clientpositive/parquet_vectorization_4.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/parquet_vectorization_4.q.out b/ql/src/test/results/clientpositive/parquet_vectorization_4.q.out
new file mode 100644
index 0000000..4c39858
--- /dev/null
+++ b/ql/src/test/results/clientpositive/parquet_vectorization_4.q.out
@@ -0,0 +1,193 @@
+PREHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cint),
+ (SUM(cint) * -563),
+ (-3728 + SUM(cint)),
+ STDDEV_POP(cdouble),
+ (-(STDDEV_POP(cdouble))),
+ AVG(cdouble),
+ ((SUM(cint) * -563) % SUM(cint)),
+ (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
+ VAR_POP(cdouble),
+ (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
+ ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
+ MIN(ctinyint),
+ MIN(ctinyint),
+ (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
+FROM alltypesparquet
+WHERE (((csmallint >= cint)
+ OR ((-89010 >= ctinyint)
+ AND (cdouble > 79.553)))
+ OR ((-563 != cbigint)
+ AND ((ctinyint != cbigint)
+ OR (-3728 >= cdouble))))
+PREHOOK: type: QUERY
+POSTHOOK: query: EXPLAIN VECTORIZATION DETAIL
+SELECT SUM(cint),
+ (SUM(cint) * -563),
+ (-3728 + SUM(cint)),
+ STDDEV_POP(cdouble),
+ (-(STDDEV_POP(cdouble))),
+ AVG(cdouble),
+ ((SUM(cint) * -563) % SUM(cint)),
+ (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
+ VAR_POP(cdouble),
+ (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
+ ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
+ MIN(ctinyint),
+ MIN(ctinyint),
+ (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
+FROM alltypesparquet
+WHERE (((csmallint >= cint)
+ OR ((-89010 >= ctinyint)
+ AND (cdouble > 79.553)))
+ OR ((-563 != cbigint)
+ AND ((ctinyint != cbigint)
+ OR (-3728 >= cdouble))))
+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
+
+STAGE PLANS:
+ Stage: Stage-1
+ Map Reduce
+ Map Operator Tree:
+ TableScan
+ alias: alltypesparquet
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ TableScan Vectorization:
+ native: true
+ vectorizationSchemaColumns: [0:ctinyint:tinyint, 1:csmallint:smallint, 2:cint:int, 3:cbigint:bigint, 4:cfloat:float, 5:cdouble:double, 6:cstring1:string, 7:cstring2:string, 8:ctimestamp1:timestamp, 9:ctimestamp2:timestamp, 10:cboolean1:boolean, 11:cboolean2:boolean, 12:ROW__ID:struct<transactionid:bigint,bucketid:int,rowid:bigint>]
+ Filter Operator
+ Filter Vectorization:
+ className: VectorFilterOperator
+ native: true
+ predicateExpression: FilterExprOrExpr(children: FilterLongColGreaterEqualLongColumn(col 1:int, col 2:int)(children: col 1:smallint), FilterExprAndExpr(children: FilterLongScalarGreaterEqualLongColumn(val -89010, col 0:int)(children: col 0:tinyint), FilterDoubleColGreaterDoubleScalar(col 5:double, val 79.553)), FilterExprAndExpr(children: FilterLongScalarNotEqualLongColumn(val -563, col 3:bigint), FilterExprOrExpr(children: FilterLongColNotEqualLongColumn(col 0:bigint, col 3:bigint)(children: col 0:tinyint), FilterDoubleScalarGreaterEqualDoubleColumn(val -3728.0, col 5:double))))
+ predicate: (((-563 <> cbigint) and ((UDFToLong(ctinyint) <> cbigint) or (-3728.0 >= cdouble))) or ((-89010 >= UDFToInteger(ctinyint)) and (cdouble > 79.553)) or (UDFToInteger(csmallint) >= cint)) (type: boolean)
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ctinyint (type: tinyint), cint (type: int), cdouble (type: double)
+ outputColumnNames: ctinyint, cint, cdouble
+ Select Vectorization:
+ className: VectorSelectOperator
+ native: true
+ projectedOutputColumnNums: [0, 2, 5]
+ Statistics: Num rows: 12288 Data size: 147456 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(cint), stddev_pop(cdouble), avg(cdouble), var_pop(cdouble), min(ctinyint)
+ Group By Vectorization:
+ aggregators: VectorUDAFSumLong(col 2:int) -> bigint, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: stddev_pop, VectorUDAFAvgDouble(col 5:double) -> struct<count:bigint,sum:double,input:double>, VectorUDAFVarDouble(col 5:double) -> struct<count:bigint,sum:double,variance:double> aggregation: var_pop, VectorUDAFMinLong(col 0:tinyint) -> tinyint
+ className: VectorGroupByOperator
+ groupByMode: HASH
+ native: false
+ vectorProcessingMode: HASH
+ projectedOutputColumnNums: [0, 1, 2, 3, 4]
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ sort order:
+ Reduce Sink Vectorization:
+ className: VectorReduceSinkOperator
+ native: false
+ nativeConditionsMet: hive.vectorized.execution.reducesink.new.enabled IS true, No PTF TopN IS true, No DISTINCT columns IS true, BinarySortableSerDe for keys IS true, LazyBinarySerDe for values IS true
+ nativeConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: bigint), _col1 (type: struct<count:bigint,sum:double,variance:double>), _col2 (type: struct<count:bigint,sum:double,input:double>), _col3 (type: struct<count:bigint,sum:double,variance:double>), _col4 (type: tinyint)
+ Execution mode: vectorized
+ Map Vectorization:
+ enabled: true
+ enabledConditionsMet: hive.vectorized.use.vectorized.input.format IS true
+ inputFormatFeatureSupport: []
+ featureSupportInUse: []
+ inputFileFormats: org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat
+ allNative: false
+ usesVectorUDFAdaptor: false
+ vectorized: true
+ rowBatchContext:
+ dataColumnCount: 12
+ includeColumns: [0, 1, 2, 3, 5]
+ 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: []
+ Reduce Vectorization:
+ enabled: false
+ enableConditionsMet: hive.vectorized.execution.reduce.enabled IS true
+ enableConditionsNotMet: hive.execution.engine mr IN [tez, spark] IS false
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0), stddev_pop(VALUE._col1), avg(VALUE._col2), var_pop(VALUE._col3), min(VALUE._col4)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: bigint), (_col0 * -563) (type: bigint), (-3728 + _col0) (type: bigint), _col1 (type: double), (- _col1) (type: double), _col2 (type: double), ((_col0 * -563) % _col0) (type: bigint), (UDFToDouble(((_col0 * -563) % _col0)) / _col2) (type: double), _col3 (type: double), (- (UDFToDouble(((_col0 * -563) % _col0)) / _col2)) (type: double), ((-3728 + _col0) - (_col0 * -563)) (type: bigint), _col4 (type: tinyint), _col4 (type: tinyint), (UDFToDouble(_col4) * (- (UDFToDouble(((_col0 * -563) % _col0)) / _col2))) (type: double)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13
+ Statistics: Num rows: 1 Data size: 252 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1 Data size: 252 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
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT SUM(cint),
+ (SUM(cint) * -563),
+ (-3728 + SUM(cint)),
+ STDDEV_POP(cdouble),
+ (-(STDDEV_POP(cdouble))),
+ AVG(cdouble),
+ ((SUM(cint) * -563) % SUM(cint)),
+ (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
+ VAR_POP(cdouble),
+ (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
+ ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
+ MIN(ctinyint),
+ MIN(ctinyint),
+ (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
+FROM alltypesparquet
+WHERE (((csmallint >= cint)
+ OR ((-89010 >= ctinyint)
+ AND (cdouble > 79.553)))
+ OR ((-563 != cbigint)
+ AND ((ctinyint != cbigint)
+ OR (-3728 >= cdouble))))
+PREHOOK: type: QUERY
+PREHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT SUM(cint),
+ (SUM(cint) * -563),
+ (-3728 + SUM(cint)),
+ STDDEV_POP(cdouble),
+ (-(STDDEV_POP(cdouble))),
+ AVG(cdouble),
+ ((SUM(cint) * -563) % SUM(cint)),
+ (((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)),
+ VAR_POP(cdouble),
+ (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))),
+ ((-3728 + SUM(cint)) - (SUM(cint) * -563)),
+ MIN(ctinyint),
+ MIN(ctinyint),
+ (MIN(ctinyint) * (-((((SUM(cint) * -563) % SUM(cint)) / AVG(cdouble)))))
+FROM alltypesparquet
+WHERE (((csmallint >= cint)
+ OR ((-89010 >= ctinyint)
+ AND (cdouble > 79.553)))
+ OR ((-563 != cbigint)
+ AND ((ctinyint != cbigint)
+ OR (-3728 >= cdouble))))
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@alltypesparquet
+#### A masked pattern was here ####
+-493101012745 277615870175435 -493101016473 136727.7868296355 -136727.7868296355 2298.5515807767374 0 0.0 1.8694487691330246E10 -0.0 -278108971191908 -64 -64 0.0