http://git-wip-us.apache.org/repos/asf/hive/blob/1f258e96/ql/src/test/results/clientpositive/llap/multiMapJoin1.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/llap/multiMapJoin1.q.out b/ql/src/test/results/clientpositive/llap/multiMapJoin1.q.out new file mode 100644 index 0000000..eac269c --- /dev/null +++ b/ql/src/test/results/clientpositive/llap/multiMapJoin1.q.out @@ -0,0 +1,2145 @@ +PREHOOK: query: create table smallTbl1(key string, value string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@smallTbl1 +POSTHOOK: query: create table smallTbl1(key string, value string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@smallTbl1 +RUN: Stage-0:DDL +PREHOOK: query: insert overwrite table smallTbl1 select * from src where key < 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@src +PREHOOK: Output: default@smalltbl1 +POSTHOOK: query: insert overwrite table smallTbl1 select * from src where key < 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@src +POSTHOOK: Output: default@smalltbl1 +POSTHOOK: Lineage: smalltbl1.key SIMPLE [(src)src.FieldSchema(name:key, type:string, comment:default), ] +POSTHOOK: Lineage: smalltbl1.value SIMPLE [(src)src.FieldSchema(name:value, type:string, comment:default), ] +RUN: Stage-1:MAPRED +RUN: Stage-2:DEPENDENCY_COLLECTION +RUN: Stage-0:MOVE +RUN: Stage-3:STATS +PREHOOK: query: create table smallTbl2(key string, value string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@smallTbl2 +POSTHOOK: query: create table smallTbl2(key string, value string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@smallTbl2 +RUN: Stage-0:DDL +PREHOOK: query: insert overwrite table smallTbl2 select * from src where key < 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@src +PREHOOK: Output: default@smalltbl2 +POSTHOOK: query: insert overwrite table smallTbl2 select * from src where key < 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@src +POSTHOOK: Output: default@smalltbl2 +POSTHOOK: Lineage: smalltbl2.key SIMPLE [(src)src.FieldSchema(name:key, type:string, comment:default), ] +POSTHOOK: Lineage: smalltbl2.value SIMPLE [(src)src.FieldSchema(name:value, type:string, comment:default), ] +RUN: Stage-1:MAPRED +RUN: Stage-2:DEPENDENCY_COLLECTION +RUN: Stage-0:MOVE +RUN: Stage-3:STATS +PREHOOK: query: create table smallTbl3(key string, value string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@smallTbl3 +POSTHOOK: query: create table smallTbl3(key string, value string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@smallTbl3 +RUN: Stage-0:DDL +PREHOOK: query: insert overwrite table smallTbl3 select * from src where key < 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@src +PREHOOK: Output: default@smalltbl3 +POSTHOOK: query: insert overwrite table smallTbl3 select * from src where key < 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@src +POSTHOOK: Output: default@smalltbl3 +POSTHOOK: Lineage: smalltbl3.key SIMPLE [(src)src.FieldSchema(name:key, type:string, comment:default), ] +POSTHOOK: Lineage: smalltbl3.value SIMPLE [(src)src.FieldSchema(name:value, type:string, comment:default), ] +RUN: Stage-1:MAPRED +RUN: Stage-2:DEPENDENCY_COLLECTION +RUN: Stage-0:MOVE +RUN: Stage-3:STATS +PREHOOK: query: create table smallTbl4(key string, value string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@smallTbl4 +POSTHOOK: query: create table smallTbl4(key string, value string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@smallTbl4 +RUN: Stage-0:DDL +PREHOOK: query: insert overwrite table smallTbl4 select * from src where key < 10 +PREHOOK: type: QUERY +PREHOOK: Input: default@src +PREHOOK: Output: default@smalltbl4 +POSTHOOK: query: insert overwrite table smallTbl4 select * from src where key < 10 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@src +POSTHOOK: Output: default@smalltbl4 +POSTHOOK: Lineage: smalltbl4.key SIMPLE [(src)src.FieldSchema(name:key, type:string, comment:default), ] +POSTHOOK: Lineage: smalltbl4.value SIMPLE [(src)src.FieldSchema(name:value, type:string, comment:default), ] +RUN: Stage-1:MAPRED +RUN: Stage-2:DEPENDENCY_COLLECTION +RUN: Stage-0:MOVE +RUN: Stage-3:STATS +PREHOOK: query: create table bigTbl(key string, value string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@bigTbl +POSTHOOK: query: create table bigTbl(key string, value string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@bigTbl +RUN: Stage-0:DDL +PREHOOK: query: insert overwrite table bigTbl +select * from +( + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src +) subq +PREHOOK: type: QUERY +PREHOOK: Input: default@src +PREHOOK: Output: default@bigtbl +POSTHOOK: query: insert overwrite table bigTbl +select * from +( + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src + union all + select * from src +) subq +POSTHOOK: type: QUERY +POSTHOOK: Input: default@src +POSTHOOK: Output: default@bigtbl +POSTHOOK: Lineage: bigtbl.key EXPRESSION [(src)src.FieldSchema(name:key, type:string, comment:default), ] +POSTHOOK: Lineage: bigtbl.value EXPRESSION [(src)src.FieldSchema(name:value, type:string, comment:default), ] +RUN: Stage-1:MAPRED +RUN: Stage-2:DEPENDENCY_COLLECTION +RUN: Stage-0:MOVE +RUN: Stage-3:STATS +PREHOOK: query: explain +select count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +PREHOOK: type: QUERY +POSTHOOK: query: explain +select count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +POSTHOOK: type: QUERY +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 3 (BROADCAST_EDGE), Map 4 (BROADCAST_EDGE) + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: bigtbl + Statistics: Num rows: 5000 Data size: 53120 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key is not null and value is not null) (type: boolean) + Statistics: Num rows: 5000 Data size: 53120 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string), value (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 5000 Data size: 53120 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col1 + input vertices: + 1 Map 3 + Statistics: Num rows: 5500 Data size: 58432 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 5500 Data size: 58432 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col0 (type: string) + input vertices: + 1 Map 4 + Statistics: Num rows: 6050 Data size: 64275 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 + sort order: + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint) + Execution mode: llap + LLAP IO: no inputs + Map 3 + Map Operator Tree: + TableScan + alias: smalltbl1 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Map 4 + Map Operator Tree: + TableScan + alias: smalltbl2 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: value is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: value (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Reducer 2 + Execution mode: llap + 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 + 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 count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +PREHOOK: type: QUERY +PREHOOK: Input: default@bigtbl +PREHOOK: Input: default@smalltbl1 +PREHOOK: Input: default@smalltbl2 +#### A masked pattern was here #### +POSTHOOK: query: select count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@bigtbl +POSTHOOK: Input: default@smalltbl1 +POSTHOOK: Input: default@smalltbl2 +#### A masked pattern was here #### +RUN: Stage-1:MAPRED +580 +PREHOOK: query: -- Now run a query with two-way join, which should be converted into a +-- map-join followed by groupby - two MR jobs overall +explain +select count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +PREHOOK: type: QUERY +POSTHOOK: query: -- Now run a query with two-way join, which should be converted into a +-- map-join followed by groupby - two MR jobs overall +explain +select count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +POSTHOOK: type: QUERY +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 3 (BROADCAST_EDGE), Map 4 (BROADCAST_EDGE) + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: bigtbl + Statistics: Num rows: 5000 Data size: 53120 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key is not null and value is not null) (type: boolean) + Statistics: Num rows: 5000 Data size: 53120 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string), value (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 5000 Data size: 53120 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col1 + input vertices: + 1 Map 3 + Statistics: Num rows: 5500 Data size: 58432 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 5500 Data size: 58432 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col0 (type: string) + input vertices: + 1 Map 4 + Statistics: Num rows: 6050 Data size: 64275 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 + sort order: + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint) + Execution mode: llap + LLAP IO: no inputs + Map 3 + Map Operator Tree: + TableScan + alias: smalltbl1 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Map 4 + Map Operator Tree: + TableScan + alias: smalltbl2 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: value is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: value (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Reducer 2 + Execution mode: llap + 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 + 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 count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +PREHOOK: type: QUERY +PREHOOK: Input: default@bigtbl +PREHOOK: Input: default@smalltbl1 +PREHOOK: Input: default@smalltbl2 +#### A masked pattern was here #### +POSTHOOK: query: select count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@bigtbl +POSTHOOK: Input: default@smalltbl1 +POSTHOOK: Input: default@smalltbl2 +#### A masked pattern was here #### +RUN: Stage-1:MAPRED +580 +PREHOOK: query: -- Now run a query with two-way join, which should first be converted into a +-- map-join followed by groupby and then finally into a single MR job. + +explain +select count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +group by smallTbl2.key +PREHOOK: type: QUERY +POSTHOOK: query: -- Now run a query with two-way join, which should first be converted into a +-- map-join followed by groupby and then finally into a single MR job. + +explain +select count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +group by smallTbl2.key +POSTHOOK: type: QUERY +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 3 (BROADCAST_EDGE), Map 4 (BROADCAST_EDGE) + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: bigtbl + Statistics: Num rows: 5000 Data size: 53120 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key is not null and value is not null) (type: boolean) + Statistics: Num rows: 5000 Data size: 53120 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string), value (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 5000 Data size: 53120 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col1 + input vertices: + 1 Map 3 + Statistics: Num rows: 5500 Data size: 58432 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 5500 Data size: 58432 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col1 (type: string) + outputColumnNames: _col1 + input vertices: + 1 Map 4 + Statistics: Num rows: 6050 Data size: 64275 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count() + keys: _col1 (type: string) + mode: hash + outputColumnNames: _col0, _col1 + Statistics: Num rows: 6050 Data size: 64275 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 6050 Data size: 64275 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: bigint) + Execution mode: llap + LLAP IO: no inputs + Map 3 + Map Operator Tree: + TableScan + alias: smalltbl1 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Map 4 + Map Operator Tree: + TableScan + alias: smalltbl2 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: value is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string), value (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: string) + sort order: + + Map-reduce partition columns: _col1 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: string) + Execution mode: llap + LLAP IO: no inputs + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + keys: KEY._col0 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1 + Statistics: Num rows: 3025 Data size: 32137 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: bigint) + outputColumnNames: _col0 + Statistics: Num rows: 3025 Data size: 32137 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 3025 Data size: 32137 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 count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +group by smallTbl2.key +PREHOOK: type: QUERY +PREHOOK: Input: default@bigtbl +PREHOOK: Input: default@smalltbl1 +PREHOOK: Input: default@smalltbl2 +#### A masked pattern was here #### +POSTHOOK: query: select count(*) FROM +(select bigTbl.key as key, bigTbl.value as value1, + bigTbl.value as value2 FROM bigTbl JOIN smallTbl1 + on (bigTbl.key = smallTbl1.key) +) firstjoin +JOIN +smallTbl2 on (firstjoin.value1 = smallTbl2.value) +group by smallTbl2.key +POSTHOOK: type: QUERY +POSTHOOK: Input: default@bigtbl +POSTHOOK: Input: default@smalltbl1 +POSTHOOK: Input: default@smalltbl2 +#### A masked pattern was here #### +RUN: Stage-1:MAPRED +270 +10 +10 +270 +10 +10 +PREHOOK: query: drop table bigTbl +PREHOOK: type: DROPTABLE +PREHOOK: Input: default@bigtbl +PREHOOK: Output: default@bigtbl +POSTHOOK: query: drop table bigTbl +POSTHOOK: type: DROPTABLE +POSTHOOK: Input: default@bigtbl +POSTHOOK: Output: default@bigtbl +RUN: Stage-0:DDL +PREHOOK: query: create table bigTbl(key1 string, key2 string, value string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@bigTbl +POSTHOOK: query: create table bigTbl(key1 string, key2 string, value string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@bigTbl +RUN: Stage-0:DDL +PREHOOK: query: insert overwrite table bigTbl +select * from +( + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src +) subq +PREHOOK: type: QUERY +PREHOOK: Input: default@src +PREHOOK: Output: default@bigtbl +POSTHOOK: query: insert overwrite table bigTbl +select * from +( + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src + union all + select key as key1, key as key2, value from src +) subq +POSTHOOK: type: QUERY +POSTHOOK: Input: default@src +POSTHOOK: Output: default@bigtbl +POSTHOOK: Lineage: bigtbl.key1 EXPRESSION [(src)src.FieldSchema(name:key, type:string, comment:default), ] +POSTHOOK: Lineage: bigtbl.key2 EXPRESSION [(src)src.FieldSchema(name:key, type:string, comment:default), ] +POSTHOOK: Lineage: bigtbl.value EXPRESSION [(src)src.FieldSchema(name:value, type:string, comment:default), ] +RUN: Stage-1:MAPRED +RUN: Stage-2:DEPENDENCY_COLLECTION +RUN: Stage-0:MOVE +RUN: Stage-3:STATS +PREHOOK: query: -- First disable noconditionaltask +EXPLAIN +SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +PREHOOK: type: QUERY +POSTHOOK: query: -- First disable noconditionaltask +EXPLAIN +SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +POSTHOOK: type: QUERY +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 3 (BROADCAST_EDGE), Map 4 (BROADCAST_EDGE), Map 5 (BROADCAST_EDGE), Map 6 (BROADCAST_EDGE) + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: bigtbl + Statistics: Num rows: 5000 Data size: 72180 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key1 is not null and value is not null and key2 is not null) (type: boolean) + Statistics: Num rows: 5000 Data size: 72180 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key1 (type: string), key2 (type: string), value (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 5000 Data size: 72180 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + input vertices: + 1 Map 3 + Statistics: Num rows: 5500 Data size: 79398 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col3 (type: string), _col2 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 5500 Data size: 79398 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col3 (type: string) + 1 _col1 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + input vertices: + 1 Map 4 + Statistics: Num rows: 6050 Data size: 87337 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col5 (type: string), _col3 (type: string), _col4 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 6050 Data size: 87337 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + input vertices: + 1 Map 5 + Statistics: Num rows: 6655 Data size: 96070 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col6 (type: string), _col4 (type: string), _col5 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 6655 Data size: 96070 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col2 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + input vertices: + 1 Map 6 + Statistics: Num rows: 7320 Data size: 105677 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: hash(_col0) (type: int), hash(_col1) (type: int), hash(_col2) (type: int), hash(_col3) (type: int), hash(_col4) (type: int), hash(_col7) (type: int), hash(_col5) (type: int), hash(_col6) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 7320 Data size: 105677 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col0), sum(_col1), sum(_col2), sum(_col3), sum(_col4), sum(_col5), sum(_col6), sum(_col7) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 64 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 64 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: bigint), _col4 (type: bigint), _col5 (type: bigint), _col6 (type: bigint), _col7 (type: bigint) + Execution mode: llap + LLAP IO: no inputs + Map 3 + Map Operator Tree: + TableScan + alias: smalltbl1 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Map 4 + Map Operator Tree: + TableScan + alias: smalltbl2 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: value is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string), value (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: string) + sort order: + + Map-reduce partition columns: _col1 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: string) + Execution mode: llap + LLAP IO: no inputs + Map 5 + Map Operator Tree: + TableScan + alias: smalltbl3 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Map 6 + Map Operator Tree: + TableScan + alias: smalltbl4 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6), sum(VALUE._col7) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 64 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 64 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(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +PREHOOK: type: QUERY +PREHOOK: Input: default@bigtbl +PREHOOK: Input: default@smalltbl1 +PREHOOK: Input: default@smalltbl2 +PREHOOK: Input: default@smalltbl3 +PREHOOK: Input: default@smalltbl4 +#### A masked pattern was here #### +POSTHOOK: query: SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@bigtbl +POSTHOOK: Input: default@smalltbl1 +POSTHOOK: Input: default@smalltbl2 +POSTHOOK: Input: default@smalltbl3 +POSTHOOK: Input: default@smalltbl4 +#### A masked pattern was here #### +RUN: Stage-1:MAPRED +247580 247580 247580 247580 247580 247580 548662743780 548662743780 +PREHOOK: query: -- Enable noconditionaltask and set the size of hive.auto.convert.join.noconditionaltask.size +-- to 10000, which is large enough to fit all four small tables (smallTbl1 to smallTbl4). +-- We will use a single MR job to evaluate this query. +EXPLAIN +SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +PREHOOK: type: QUERY +POSTHOOK: query: -- Enable noconditionaltask and set the size of hive.auto.convert.join.noconditionaltask.size +-- to 10000, which is large enough to fit all four small tables (smallTbl1 to smallTbl4). +-- We will use a single MR job to evaluate this query. +EXPLAIN +SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +POSTHOOK: type: QUERY +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 3 (BROADCAST_EDGE), Map 4 (BROADCAST_EDGE), Map 5 (BROADCAST_EDGE), Map 6 (BROADCAST_EDGE) + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: bigtbl + Statistics: Num rows: 5000 Data size: 72180 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key1 is not null and value is not null and key2 is not null) (type: boolean) + Statistics: Num rows: 5000 Data size: 72180 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key1 (type: string), key2 (type: string), value (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 5000 Data size: 72180 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + input vertices: + 1 Map 3 + Statistics: Num rows: 5500 Data size: 79398 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col3 (type: string), _col2 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 5500 Data size: 79398 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col3 (type: string) + 1 _col1 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + input vertices: + 1 Map 4 + Statistics: Num rows: 6050 Data size: 87337 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col5 (type: string), _col3 (type: string), _col4 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 6050 Data size: 87337 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + input vertices: + 1 Map 5 + Statistics: Num rows: 6655 Data size: 96070 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col6 (type: string), _col4 (type: string), _col5 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 6655 Data size: 96070 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col2 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + input vertices: + 1 Map 6 + Statistics: Num rows: 7320 Data size: 105677 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: hash(_col0) (type: int), hash(_col1) (type: int), hash(_col2) (type: int), hash(_col3) (type: int), hash(_col4) (type: int), hash(_col7) (type: int), hash(_col5) (type: int), hash(_col6) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 7320 Data size: 105677 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col0), sum(_col1), sum(_col2), sum(_col3), sum(_col4), sum(_col5), sum(_col6), sum(_col7) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 64 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 64 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: bigint), _col4 (type: bigint), _col5 (type: bigint), _col6 (type: bigint), _col7 (type: bigint) + Execution mode: llap + LLAP IO: no inputs + Map 3 + Map Operator Tree: + TableScan + alias: smalltbl1 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Map 4 + Map Operator Tree: + TableScan + alias: smalltbl2 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: value is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string), value (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: string) + sort order: + + Map-reduce partition columns: _col1 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: string) + Execution mode: llap + LLAP IO: no inputs + Map 5 + Map Operator Tree: + TableScan + alias: smalltbl3 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Map 6 + Map Operator Tree: + TableScan + alias: smalltbl4 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6), sum(VALUE._col7) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 64 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 64 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(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +PREHOOK: type: QUERY +PREHOOK: Input: default@bigtbl +PREHOOK: Input: default@smalltbl1 +PREHOOK: Input: default@smalltbl2 +PREHOOK: Input: default@smalltbl3 +PREHOOK: Input: default@smalltbl4 +#### A masked pattern was here #### +POSTHOOK: query: SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@bigtbl +POSTHOOK: Input: default@smalltbl1 +POSTHOOK: Input: default@smalltbl2 +POSTHOOK: Input: default@smalltbl3 +POSTHOOK: Input: default@smalltbl4 +#### A masked pattern was here #### +RUN: Stage-1:MAPRED +247580 247580 247580 247580 247580 247580 548662743780 548662743780 +PREHOOK: query: -- Enable noconditionaltask and set the size of hive.auto.convert.join.noconditionaltask.size +-- to 200, which is large enough to fit two small tables. We will have two jobs to evaluate this +-- query. The first job is a Map-only job to evaluate join1 and join2. +-- The second job will evaluate the rest of this query. +EXPLAIN +SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +PREHOOK: type: QUERY +POSTHOOK: query: -- Enable noconditionaltask and set the size of hive.auto.convert.join.noconditionaltask.size +-- to 200, which is large enough to fit two small tables. We will have two jobs to evaluate this +-- query. The first job is a Map-only job to evaluate join1 and join2. +-- The second job will evaluate the rest of this query. +EXPLAIN +SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +POSTHOOK: type: QUERY +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 3 (BROADCAST_EDGE), Map 4 (BROADCAST_EDGE), Map 5 (BROADCAST_EDGE), Map 6 (BROADCAST_EDGE) + Reducer 2 <- Map 1 (SIMPLE_EDGE) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: bigtbl + Statistics: Num rows: 5000 Data size: 72180 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key1 is not null and value is not null and key2 is not null) (type: boolean) + Statistics: Num rows: 5000 Data size: 72180 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key1 (type: string), key2 (type: string), value (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 5000 Data size: 72180 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + input vertices: + 1 Map 3 + Statistics: Num rows: 5500 Data size: 79398 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col3 (type: string), _col2 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 5500 Data size: 79398 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col3 (type: string) + 1 _col1 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + input vertices: + 1 Map 4 + Statistics: Num rows: 6050 Data size: 87337 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col5 (type: string), _col3 (type: string), _col4 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 6050 Data size: 87337 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + input vertices: + 1 Map 5 + Statistics: Num rows: 6655 Data size: 96070 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col6 (type: string), _col4 (type: string), _col5 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 6655 Data size: 96070 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col2 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + input vertices: + 1 Map 6 + Statistics: Num rows: 7320 Data size: 105677 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: hash(_col0) (type: int), hash(_col1) (type: int), hash(_col2) (type: int), hash(_col3) (type: int), hash(_col4) (type: int), hash(_col7) (type: int), hash(_col5) (type: int), hash(_col6) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 7320 Data size: 105677 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col0), sum(_col1), sum(_col2), sum(_col3), sum(_col4), sum(_col5), sum(_col6), sum(_col7) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 64 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 64 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: bigint), _col4 (type: bigint), _col5 (type: bigint), _col6 (type: bigint), _col7 (type: bigint) + Execution mode: llap + LLAP IO: no inputs + Map 3 + Map Operator Tree: + TableScan + alias: smalltbl1 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Map 4 + Map Operator Tree: + TableScan + alias: smalltbl2 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: value is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string), value (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: string) + sort order: + + Map-reduce partition columns: _col1 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: string) + Execution mode: llap + LLAP IO: no inputs + Map 5 + Map Operator Tree: + TableScan + alias: smalltbl3 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Map 6 + Map Operator Tree: + TableScan + alias: smalltbl4 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: key (type: string) + outputColumnNames: _col0 + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 10 Data size: 70 Basic stats: COMPLETE Column stats: NONE + Execution mode: llap + LLAP IO: no inputs + Reducer 2 + Execution mode: llap + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6), sum(VALUE._col7) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 1 Data size: 64 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 64 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(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +PREHOOK: type: QUERY +PREHOOK: Input: default@bigtbl +PREHOOK: Input: default@smalltbl1 +PREHOOK: Input: default@smalltbl2 +PREHOOK: Input: default@smalltbl3 +PREHOOK: Input: default@smalltbl4 +#### A masked pattern was here #### +POSTHOOK: query: SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +POSTHOOK: type: QUERY +POSTHOOK: Input: default@bigtbl +POSTHOOK: Input: default@smalltbl1 +POSTHOOK: Input: default@smalltbl2 +POSTHOOK: Input: default@smalltbl3 +POSTHOOK: Input: default@smalltbl4 +#### A masked pattern was here #### +RUN: Stage-1:MAPRED +247580 247580 247580 247580 247580 247580 548662743780 548662743780 +PREHOOK: query: -- Enable noconditionaltask and but set the size of hive.auto.convert.join.noconditionaltask.size +-- to 0. The plan will be the same as the one with a disabled nonconditionaltask. +EXPLAIN +SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +PREHOOK: type: QUERY +POSTHOOK: query: -- Enable noconditionaltask and but set the size of hive.auto.convert.join.noconditionaltask.size +-- to 0. The plan will be the same as the one with a disabled nonconditionaltask. +EXPLAIN +SELECT SUM(HASH(join3.key1)), + SUM(HASH(join3.key2)), + SUM(HASH(join3.key3)), + SUM(HASH(join3.key4)), + SUM(HASH(join3.key5)), + SUM(HASH(smallTbl4.key)), + SUM(HASH(join3.value1)), + SUM(HASH(join3.value2)) +FROM (SELECT join2.key1 as key1, + join2.key2 as key2, + join2.key3 as key3, + join2.key4 as key4, + smallTbl3.key as key5, + join2.value1 as value1, + join2.value2 as value2 + FROM (SELECT join1.key1 as key1, + join1.key2 as key2, + join1.key3 as key3, + smallTbl2.key as key4, + join1.value1 as value1, + join1.value2 as value2 + FROM (SELECT bigTbl.key1 as key1, + bigTbl.key2 as key2, + smallTbl1.key as key3, + bigTbl.value as value1, + bigTbl.value as value2 + FROM bigTbl + JOIN smallTbl1 ON (bigTbl.key1 = smallTbl1.key)) join1 + JOIN smallTbl2 ON (join1.value1 = smallTbl2.value)) join2 + JOIN smallTbl3 ON (join2.key2 = smallTbl3.key)) join3 +JOIN smallTbl4 ON (join3.key3 = smallTbl4.key) +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Sta
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