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Posted to commits@hive.apache.org by xu...@apache.org on 2014/10/27 20:57:03 UTC
svn commit: r1634671 [25/46] - in /hive/branches/spark:
itests/src/test/resources/ ql/src/test/results/clientpositive/spark/
Added: hive/branches/spark/ql/src/test/results/clientpositive/spark/mapjoin_test_outer.q.out
URL: http://svn.apache.org/viewvc/hive/branches/spark/ql/src/test/results/clientpositive/spark/mapjoin_test_outer.q.out?rev=1634671&view=auto
==============================================================================
--- hive/branches/spark/ql/src/test/results/clientpositive/spark/mapjoin_test_outer.q.out (added)
+++ hive/branches/spark/ql/src/test/results/clientpositive/spark/mapjoin_test_outer.q.out Mon Oct 27 19:56:58 2014
@@ -0,0 +1,1342 @@
+PREHOOK: query: --HIVE-2101 mapjoin sometimes gives wrong results if there is a filter in the on condition
+
+create table dest_1 (key STRING, value STRING) stored as textfile
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@dest_1
+POSTHOOK: query: --HIVE-2101 mapjoin sometimes gives wrong results if there is a filter in the on condition
+
+create table dest_1 (key STRING, value STRING) stored as textfile
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@dest_1
+PREHOOK: query: insert overwrite table dest_1 select * from src1 order by src1.value limit 8
+PREHOOK: type: QUERY
+PREHOOK: Input: default@src1
+PREHOOK: Output: default@dest_1
+[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to
+POSTHOOK: query: insert overwrite table dest_1 select * from src1 order by src1.value limit 8
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@src1
+POSTHOOK: Output: default@dest_1
+POSTHOOK: Lineage: dest_1.key SIMPLE [(src1)src1.FieldSchema(name:key, type:string, comment:default), ]
+POSTHOOK: Lineage: dest_1.value SIMPLE [(src1)src1.FieldSchema(name:value, type:string, comment:default), ]
+PREHOOK: query: insert into table dest_1 select "333444","555666" from src1 limit 1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@src1
+PREHOOK: Output: default@dest_1
+[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to
+POSTHOOK: query: insert into table dest_1 select "333444","555666" from src1 limit 1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@src1
+POSTHOOK: Output: default@dest_1
+POSTHOOK: Lineage: dest_1.key SIMPLE []
+POSTHOOK: Lineage: dest_1.value SIMPLE []
+PREHOOK: query: create table dest_2 (key STRING, value STRING) stored as textfile
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@dest_2
+POSTHOOK: query: create table dest_2 (key STRING, value STRING) stored as textfile
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@dest_2
+PREHOOK: query: insert into table dest_2 select * from dest_1
+PREHOOK: type: QUERY
+PREHOOK: Input: default@dest_1
+PREHOOK: Output: default@dest_2
+[Error 30017]: Skipping stats aggregation by error org.apache.hadoop.hive.ql.metadata.HiveException: [Error 30015]: Stats aggregator of type counter cannot be connected to
+POSTHOOK: query: insert into table dest_2 select * from dest_1
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@dest_1
+POSTHOOK: Output: default@dest_2
+POSTHOOK: Lineage: dest_2.key SIMPLE [(dest_1)dest_1.FieldSchema(name:key, type:string, comment:null), ]
+POSTHOOK: Lineage: dest_2.value SIMPLE [(dest_1)dest_1.FieldSchema(name:value, type:string, comment:null), ]
+PREHOOK: query: SELECT * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+PREHOOK: type: QUERY
+PREHOOK: Input: default@dest_1
+PREHOOK: Input: default@dest_2
+PREHOOK: Input: default@src1
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@dest_1
+POSTHOOK: Input: default@dest_2
+POSTHOOK: Input: default@src1
+#### A masked pattern was here ####
+NULL NULL 333444 555666 333444 555666
+
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+ val_484
+ val_484
+ val_484
+128 128 128
+146 val_146 146 val_146 146 val_146
+224 224 224
+369 369 369
+PREHOOK: query: explain
+SELECT /*+ mapjoin(src1, src2) */ * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+SELECT /*+ mapjoin(src1, src2) */ * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+POSTHOOK: type: QUERY
+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), Map 4 (GROUP PARTITION-LEVEL SORT, 1), Map 5 (GROUP PARTITION-LEVEL SORT, 1)
+ Reducer 3 <- Reducer 2 (GROUP SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: src2
+ Statistics: Num rows: 0 Data size: 49 Basic stats: PARTIAL Column stats: NONE
+ Reduce Output Operator
+ key expressions: key (type: string)
+ sort order: +
+ Map-reduce partition columns: key (type: string)
+ Statistics: Num rows: 0 Data size: 49 Basic stats: PARTIAL Column stats: NONE
+ value expressions: value (type: string)
+ Map 4
+ Map Operator Tree:
+ TableScan
+ alias: src3
+ Statistics: Num rows: 0 Data size: 49 Basic stats: PARTIAL Column stats: NONE
+ Reduce Output Operator
+ key expressions: key (type: string)
+ sort order: +
+ Map-reduce partition columns: key (type: string)
+ Statistics: Num rows: 0 Data size: 49 Basic stats: PARTIAL Column stats: NONE
+ value expressions: value (type: string)
+ Map 5
+ Map Operator Tree:
+ TableScan
+ alias: src1
+ Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: key (type: string)
+ sort order: +
+ Map-reduce partition columns: key (type: string)
+ Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE
+ value expressions: value (type: string)
+ Reducer 2
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Right Outer Join0 to 1
+ Inner Join 1 to 2
+ condition expressions:
+ 0 {KEY.reducesinkkey0} {VALUE._col0}
+ 1 {KEY.reducesinkkey0} {VALUE._col0}
+ 2 {KEY.reducesinkkey0} {VALUE._col0}
+ outputColumnNames: _col0, _col1, _col5, _col6, _col10, _col11
+ Statistics: Num rows: 55 Data size: 420 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: string), _col1 (type: string), _col5 (type: string), _col6 (type: string), _col10 (type: string), _col11 (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 55 Data size: 420 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string)
+ sort order: ++++++
+ Statistics: Num rows: 55 Data size: 420 Basic stats: COMPLETE Column stats: NONE
+ Reducer 3
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 55 Data size: 420 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 55 Data size: 420 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT /*+ mapjoin(src1, src2) */ * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+PREHOOK: type: QUERY
+PREHOOK: Input: default@dest_1
+PREHOOK: Input: default@dest_2
+PREHOOK: Input: default@src1
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT /*+ mapjoin(src1, src2) */ * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@dest_1
+POSTHOOK: Input: default@dest_2
+POSTHOOK: Input: default@src1
+#### A masked pattern was here ####
+NULL NULL 333444 555666 333444 555666
+
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+128 128 128
+146 val_146 146 val_146 146 val_146
+224 224 224
+369 369 369
+PREHOOK: query: SELECT /*+ mapjoin(src1, src2) */ * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src1.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+PREHOOK: type: QUERY
+PREHOOK: Input: default@dest_1
+PREHOOK: Input: default@dest_2
+PREHOOK: Input: default@src1
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT /*+ mapjoin(src1, src2) */ * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src1.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@dest_1
+POSTHOOK: Input: default@dest_2
+POSTHOOK: Input: default@src1
+#### A masked pattern was here ####
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+PREHOOK: query: SELECT * FROM src1
+ LEFT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src1.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+PREHOOK: type: QUERY
+PREHOOK: Input: default@dest_1
+PREHOOK: Input: default@dest_2
+PREHOOK: Input: default@src1
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT * FROM src1
+ LEFT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src1.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@dest_1
+POSTHOOK: Input: default@dest_2
+POSTHOOK: Input: default@src1
+#### A masked pattern was here ####
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+128 128 128
+146 val_146 146 val_146 146 val_146
+224 224 224
+369 369 369
+PREHOOK: query: SELECT * FROM src1
+ LEFT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+PREHOOK: type: QUERY
+PREHOOK: Input: default@dest_1
+PREHOOK: Input: default@dest_2
+PREHOOK: Input: default@src1
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT * FROM src1
+ LEFT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@dest_1
+POSTHOOK: Input: default@dest_2
+POSTHOOK: Input: default@src1
+#### A masked pattern was here ####
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+ val_484
+ val_484
+ val_484
+ val_484
+128 128 128
+146 val_146 146 val_146 146 val_146
+224 224 224
+369 369 369
+PREHOOK: query: explain
+SELECT * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+SELECT * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+POSTHOOK: type: QUERY
+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), Map 4 (GROUP PARTITION-LEVEL SORT, 1), Map 5 (GROUP PARTITION-LEVEL SORT, 1)
+ Reducer 3 <- Reducer 2 (GROUP SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: src2
+ Statistics: Num rows: 0 Data size: 49 Basic stats: PARTIAL Column stats: NONE
+ Reduce Output Operator
+ key expressions: key (type: string)
+ sort order: +
+ Map-reduce partition columns: key (type: string)
+ Statistics: Num rows: 0 Data size: 49 Basic stats: PARTIAL Column stats: NONE
+ value expressions: value (type: string)
+ Map 4
+ Map Operator Tree:
+ TableScan
+ alias: src3
+ Statistics: Num rows: 0 Data size: 49 Basic stats: PARTIAL Column stats: NONE
+ Reduce Output Operator
+ key expressions: key (type: string)
+ sort order: +
+ Map-reduce partition columns: key (type: string)
+ Statistics: Num rows: 0 Data size: 49 Basic stats: PARTIAL Column stats: NONE
+ value expressions: value (type: string)
+ Map 5
+ Map Operator Tree:
+ TableScan
+ alias: src1
+ Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: key (type: string)
+ sort order: +
+ Map-reduce partition columns: key (type: string)
+ Statistics: Num rows: 25 Data size: 191 Basic stats: COMPLETE Column stats: NONE
+ value expressions: value (type: string)
+ Reducer 2
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Right Outer Join0 to 1
+ Inner Join 1 to 2
+ condition expressions:
+ 0 {KEY.reducesinkkey0} {VALUE._col0}
+ 1 {KEY.reducesinkkey0} {VALUE._col0}
+ 2 {KEY.reducesinkkey0} {VALUE._col0}
+ outputColumnNames: _col0, _col1, _col5, _col6, _col10, _col11
+ Statistics: Num rows: 55 Data size: 420 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: string), _col1 (type: string), _col5 (type: string), _col6 (type: string), _col10 (type: string), _col11 (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 55 Data size: 420 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string)
+ sort order: ++++++
+ Statistics: Num rows: 55 Data size: 420 Basic stats: COMPLETE Column stats: NONE
+ Reducer 3
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 55 Data size: 420 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 55 Data size: 420 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: SELECT * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+PREHOOK: type: QUERY
+PREHOOK: Input: default@dest_1
+PREHOOK: Input: default@dest_2
+PREHOOK: Input: default@src1
+#### A masked pattern was here ####
+POSTHOOK: query: SELECT * FROM src1
+ RIGHT OUTER JOIN dest_1 src2 ON (src1.key = src2.key)
+ JOIN dest_2 src3 ON (src2.key = src3.key)
+ SORT BY src1.key, src1.value, src2.key, src2.value, src3.key, src3.value
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@dest_1
+POSTHOOK: Input: default@dest_2
+POSTHOOK: Input: default@src1
+#### A masked pattern was here ####
+NULL NULL 333444 555666 333444 555666
+
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Added: hive/branches/spark/ql/src/test/results/clientpositive/spark/mergejoins.q.out
URL: http://svn.apache.org/viewvc/hive/branches/spark/ql/src/test/results/clientpositive/spark/mergejoins.q.out?rev=1634671&view=auto
==============================================================================
--- hive/branches/spark/ql/src/test/results/clientpositive/spark/mergejoins.q.out (added)
+++ hive/branches/spark/ql/src/test/results/clientpositive/spark/mergejoins.q.out Mon Oct 27 19:56:58 2014
@@ -0,0 +1,258 @@
+PREHOOK: query: create table a (val1 int, val2 int)
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@a
+POSTHOOK: query: create table a (val1 int, val2 int)
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@a
+PREHOOK: query: create table b (val1 int, val2 int)
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@b
+POSTHOOK: query: create table b (val1 int, val2 int)
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@b
+PREHOOK: query: create table c (val1 int, val2 int)
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@c
+POSTHOOK: query: create table c (val1 int, val2 int)
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@c
+PREHOOK: query: create table d (val1 int, val2 int)
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@d
+POSTHOOK: query: create table d (val1 int, val2 int)
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@d
+PREHOOK: query: create table e (val1 int, val2 int)
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:default
+PREHOOK: Output: default@e
+POSTHOOK: query: create table e (val1 int, val2 int)
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:default
+POSTHOOK: Output: default@e
+PREHOOK: query: explain select * from a join b on a.val1=b.val1 join c on a.val1=c.val1 join d on a.val1=d.val1 join e on a.val2=e.val2
+PREHOOK: type: QUERY
+POSTHOOK: query: explain select * from a join b on a.val1=b.val1 join c on a.val1=c.val1 join d on a.val1=d.val1 join e on a.val2=e.val2
+POSTHOOK: type: QUERY
+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), Map 5 (GROUP PARTITION-LEVEL SORT, 1), Map 6 (GROUP PARTITION-LEVEL SORT, 1), Map 7 (GROUP PARTITION-LEVEL SORT, 1)
+ Reducer 3 <- Map 4 (GROUP PARTITION-LEVEL SORT, 1), Reducer 2 (GROUP PARTITION-LEVEL SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: d
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Filter Operator
+ predicate: val1 is not null (type: boolean)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Reduce Output Operator
+ key expressions: val1 (type: int)
+ sort order: +
+ Map-reduce partition columns: val1 (type: int)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ value expressions: val2 (type: int)
+ Map 4
+ Map Operator Tree:
+ TableScan
+ alias: e
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Filter Operator
+ predicate: val2 is not null (type: boolean)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Reduce Output Operator
+ key expressions: val2 (type: int)
+ sort order: +
+ Map-reduce partition columns: val2 (type: int)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ value expressions: val1 (type: int)
+ Map 5
+ Map Operator Tree:
+ TableScan
+ alias: b
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Filter Operator
+ predicate: val1 is not null (type: boolean)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Reduce Output Operator
+ key expressions: val1 (type: int)
+ sort order: +
+ Map-reduce partition columns: val1 (type: int)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ value expressions: val2 (type: int)
+ Map 6
+ Map Operator Tree:
+ TableScan
+ alias: c
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Filter Operator
+ predicate: val1 is not null (type: boolean)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Reduce Output Operator
+ key expressions: val1 (type: int)
+ sort order: +
+ Map-reduce partition columns: val1 (type: int)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ value expressions: val2 (type: int)
+ Map 7
+ Map Operator Tree:
+ TableScan
+ alias: a
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Filter Operator
+ predicate: (val1 is not null and val2 is not null) (type: boolean)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Reduce Output Operator
+ key expressions: val1 (type: int)
+ sort order: +
+ Map-reduce partition columns: val1 (type: int)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ value expressions: val2 (type: int)
+ Reducer 2
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Inner Join 0 to 1
+ Inner Join 0 to 2
+ Inner Join 0 to 3
+ condition expressions:
+ 0 {KEY.reducesinkkey0} {VALUE._col0}
+ 1 {KEY.reducesinkkey0} {VALUE._col0}
+ 2 {KEY.reducesinkkey0} {VALUE._col0}
+ 3 {KEY.reducesinkkey0} {VALUE._col0}
+ outputColumnNames: _col0, _col1, _col5, _col6, _col10, _col11, _col15, _col16
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col1 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col1 (type: int)
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ value expressions: _col0 (type: int), _col5 (type: int), _col6 (type: int), _col10 (type: int), _col11 (type: int), _col15 (type: int), _col16 (type: int)
+ Reducer 3
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Inner Join 0 to 1
+ condition expressions:
+ 0 {VALUE._col0} {KEY.reducesinkkey0} {VALUE._col4} {VALUE._col5} {VALUE._col9} {VALUE._col10} {VALUE._col14} {VALUE._col15}
+ 1 {VALUE._col0} {KEY.reducesinkkey0}
+ outputColumnNames: _col0, _col1, _col5, _col6, _col10, _col11, _col15, _col16, _col20, _col21
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: int), _col1 (type: int), _col5 (type: int), _col6 (type: int), _col10 (type: int), _col11 (type: int), _col15 (type: int), _col16 (type: int), _col20 (type: int), _col21 (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 0 Data size: 0 Basic stats: NONE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+
+PREHOOK: query: --HIVE-3070 filter on outer join condition removed while merging join tree
+explain select * from src a join src b on a.key=b.key left outer join src c on b.key=c.key and b.key<10
+PREHOOK: type: QUERY
+POSTHOOK: query: --HIVE-3070 filter on outer join condition removed while merging join tree
+explain select * from src a join src b on a.key=b.key left outer join src c on b.key=c.key and b.key<10
+POSTHOOK: type: QUERY
+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), Map 3 (GROUP PARTITION-LEVEL SORT, 1), Map 4 (GROUP PARTITION-LEVEL SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: b
+ Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: key (type: string)
+ sort order: +
+ Map-reduce partition columns: key (type: string)
+ Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
+ value expressions: value (type: string)
+ Map 3
+ Map Operator Tree:
+ TableScan
+ alias: c
+ Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: key (type: string)
+ sort order: +
+ Map-reduce partition columns: key (type: string)
+ Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
+ value expressions: value (type: string)
+ Map 4
+ Map Operator Tree:
+ TableScan
+ alias: a
+ Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: key (type: string)
+ sort order: +
+ Map-reduce partition columns: key (type: string)
+ Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
+ value expressions: value (type: string)
+ Reducer 2
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Inner Join 0 to 1
+ Left Outer Join1 to 2
+ condition expressions:
+ 0 {KEY.reducesinkkey0} {VALUE._col0}
+ 1 {KEY.reducesinkkey0} {VALUE._col0}
+ 2 {KEY.reducesinkkey0} {VALUE._col0}
+ filter predicates:
+ 0
+ 1 {(KEY.reducesinkkey0 < 10)}
+ 2
+ outputColumnNames: _col0, _col1, _col5, _col6, _col10, _col11
+ Statistics: Num rows: 1100 Data size: 11686 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: string), _col1 (type: string), _col5 (type: string), _col6 (type: string), _col10 (type: string), _col11 (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 1100 Data size: 11686 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 1100 Data size: 11686 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: -1
+ Processor Tree:
+ ListSink
+