Added: hive/branches/spark/ql/src/test/results/clientpositive/spark/smb_mapjoin_6.q.out URL: http://svn.apache.org/viewvc/hive/branches/spark/ql/src/test/results/clientpositive/spark/smb_mapjoin_6.q.out?rev=1634671&view=auto ============================================================================== --- hive/branches/spark/ql/src/test/results/clientpositive/spark/smb_mapjoin_6.q.out (added) +++ hive/branches/spark/ql/src/test/results/clientpositive/spark/smb_mapjoin_6.q.out Mon Oct 27 19:56:58 2014 @@ -0,0 +1,2732 @@ +PREHOOK: query: CREATE TABLE smb_bucket4_1(key int, value string) CLUSTERED BY (key) SORTED BY (key) INTO 2 BUCKETS STORED AS RCFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@smb_bucket4_1 +POSTHOOK: query: CREATE TABLE smb_bucket4_1(key int, value string) CLUSTERED BY (key) SORTED BY (key) INTO 2 BUCKETS STORED AS RCFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@smb_bucket4_1 +PREHOOK: query: CREATE TABLE smb_bucket4_2(key int, value string) CLUSTERED BY (key) SORTED BY (key) INTO 2 BUCKETS STORED AS RCFILE +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@smb_bucket4_2 +POSTHOOK: query: CREATE TABLE smb_bucket4_2(key int, value string) CLUSTERED BY (key) SORTED BY (key) INTO 2 BUCKETS STORED AS RCFILE +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@smb_bucket4_2 +PREHOOK: query: create table smb_join_results(k1 int, v1 string, k2 int, v2 string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@smb_join_results +POSTHOOK: query: create table smb_join_results(k1 int, v1 string, k2 int, v2 string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@smb_join_results +PREHOOK: query: create table normal_join_results(k1 int, v1 string, k2 int, v2 string) +PREHOOK: type: CREATETABLE +PREHOOK: Output: database:default +PREHOOK: Output: default@normal_join_results +POSTHOOK: query: create table normal_join_results(k1 int, v1 string, k2 int, v2 string) +POSTHOOK: type: CREATETABLE +POSTHOOK: Output: database:default +POSTHOOK: Output: default@normal_join_results +PREHOOK: query: insert overwrite table smb_bucket4_1 +select * from src +PREHOOK: type: QUERY +PREHOOK: Input: default@src +PREHOOK: Output: default@smb_bucket4_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 smb_bucket4_1 +select * from src +POSTHOOK: type: QUERY +POSTHOOK: Input: default@src +POSTHOOK: Output: default@smb_bucket4_1 +POSTHOOK: Lineage: smb_bucket4_1.key EXPRESSION [(src)src.FieldSchema(name:key, type:string, comment:default), ] +POSTHOOK: Lineage: smb_bucket4_1.value SIMPLE [(src)src.FieldSchema(name:value, type:string, comment:default), ] +PREHOOK: query: insert overwrite table smb_bucket4_2 +select * from src +PREHOOK: type: QUERY +PREHOOK: Input: default@src +PREHOOK: Output: default@smb_bucket4_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 overwrite table smb_bucket4_2 +select * from src +POSTHOOK: type: QUERY +POSTHOOK: Input: default@src +POSTHOOK: Output: default@smb_bucket4_2 +POSTHOOK: Lineage: smb_bucket4_2.key EXPRESSION [(src)src.FieldSchema(name:key, type:string, comment:default), ] +POSTHOOK: Lineage: smb_bucket4_2.value SIMPLE [(src)src.FieldSchema(name:value, type:string, comment:default), ] +PREHOOK: query: explain +insert overwrite table smb_join_results +select /*+mapjoin(a)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +PREHOOK: type: QUERY +POSTHOOK: query: explain +insert overwrite table smb_join_results +select /*+mapjoin(a)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + Stage-3 depends on stages: Stage-0 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP PARTITION-LEVEL SORT, 1), Map 3 (GROUP PARTITION-LEVEL SORT, 1) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: b + Statistics: Num rows: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 24 Data size: 2504 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 24 Data size: 2504 Basic stats: COMPLETE Column stats: NONE + value expressions: value (type: string) + Map 3 + Map Operator Tree: + TableScan + alias: a + Statistics: Num rows: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 24 Data size: 2504 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 24 Data size: 2504 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 + condition expressions: + 0 {KEY.reducesinkkey0} {VALUE._col0} + 1 {KEY.reducesinkkey0} {VALUE._col0} + outputColumnNames: _col0, _col1, _col5, _col6 + Statistics: Num rows: 26 Data size: 2754 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: string), _col5 (type: int), _col6 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 2754 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 2754 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 + name: default.smb_join_results + + Stage: Stage-2 + Dependency Collection + + Stage: Stage-0 + Move Operator + tables: + replace: true + 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 + name: default.smb_join_results + + Stage: Stage-3 + Stats-Aggr Operator + +PREHOOK: query: insert overwrite table smb_join_results +select /*+mapjoin(a)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_bucket4_1 +PREHOOK: Input: default@smb_bucket4_2 +PREHOOK: Output: default@smb_join_results +[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 smb_join_results +select /*+mapjoin(a)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_bucket4_1 +POSTHOOK: Input: default@smb_bucket4_2 +POSTHOOK: Output: default@smb_join_results +POSTHOOK: Lineage: smb_join_results.k1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: smb_join_results.k2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: smb_join_results.v1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:value, type:string, comment:null), ] +POSTHOOK: Lineage: smb_join_results.v2 SIMPLE 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val_492 +492 val_492 492 val_492 +492 val_492 492 val_492 +492 val_492 492 val_492 +493 val_493 493 val_493 +494 val_494 494 val_494 +495 val_495 495 val_495 +496 val_496 496 val_496 +497 val_497 497 val_497 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +PREHOOK: query: insert overwrite table normal_join_results select * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_bucket4_1 +PREHOOK: Input: default@smb_bucket4_2 +PREHOOK: Output: default@normal_join_results +[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 normal_join_results select * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_bucket4_1 +POSTHOOK: Input: default@smb_bucket4_2 +POSTHOOK: Output: default@normal_join_results +POSTHOOK: Lineage: normal_join_results.k1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: normal_join_results.k2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: normal_join_results.v1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:value, type:string, comment:null), ] +POSTHOOK: Lineage: normal_join_results.v2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:value, type:string, comment:null), ] +PREHOOK: query: select sum(hash(k1)) as k1, sum(hash(k2)) as k2, sum(hash(v1)) as v1, sum(hash(v2)) as v2 from normal_join_results +PREHOOK: type: QUERY +PREHOOK: Input: default@normal_join_results +#### A masked pattern was here #### +POSTHOOK: query: select sum(hash(k1)) as k1, sum(hash(k2)) as k2, sum(hash(v1)) as v1, sum(hash(v2)) as v2 from normal_join_results +POSTHOOK: type: QUERY +POSTHOOK: Input: default@normal_join_results +#### A masked pattern was here #### +278697 278697 101852390308 101852390308 +PREHOOK: query: select sum(hash(k1)) as k1, sum(hash(k2)) as k2, sum(hash(v1)) as v1, sum(hash(v2)) as v2 from smb_join_results +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_join_results +#### A masked pattern was here #### +POSTHOOK: query: select sum(hash(k1)) as k1, sum(hash(k2)) as k2, sum(hash(v1)) as v1, sum(hash(v2)) as v2 from smb_join_results +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_join_results +#### A masked pattern was here #### +278697 278697 101852390308 101852390308 +PREHOOK: query: explain +insert overwrite table smb_join_results +select /*+mapjoin(b)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +PREHOOK: type: QUERY +POSTHOOK: query: explain +insert overwrite table smb_join_results +select /*+mapjoin(b)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + Stage-3 depends on stages: Stage-0 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP PARTITION-LEVEL SORT, 1), Map 3 (GROUP PARTITION-LEVEL SORT, 1) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: b + Statistics: Num rows: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 24 Data size: 2504 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 24 Data size: 2504 Basic stats: COMPLETE Column stats: NONE + value expressions: value (type: string) + Map 3 + Map Operator Tree: + TableScan + alias: a + Statistics: Num rows: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: key is not null (type: boolean) + Statistics: Num rows: 24 Data size: 2504 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 24 Data size: 2504 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 + condition expressions: + 0 {KEY.reducesinkkey0} {VALUE._col0} + 1 {KEY.reducesinkkey0} {VALUE._col0} + outputColumnNames: _col0, _col1, _col5, _col6 + Statistics: Num rows: 26 Data size: 2754 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: string), _col5 (type: int), _col6 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 26 Data size: 2754 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 26 Data size: 2754 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 + name: default.smb_join_results + + Stage: Stage-2 + Dependency Collection + + Stage: Stage-0 + Move Operator + tables: + replace: true + 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 + name: default.smb_join_results + + Stage: Stage-3 + Stats-Aggr Operator + +PREHOOK: query: insert overwrite table smb_join_results +select /*+mapjoin(b)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_bucket4_1 +PREHOOK: Input: default@smb_bucket4_2 +PREHOOK: Output: default@smb_join_results +[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 smb_join_results +select /*+mapjoin(b)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_bucket4_1 +POSTHOOK: Input: default@smb_bucket4_2 +POSTHOOK: Output: default@smb_join_results +POSTHOOK: Lineage: smb_join_results.k1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: smb_join_results.k2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: smb_join_results.v1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:value, type:string, comment:null), ] +POSTHOOK: Lineage: smb_join_results.v2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:value, type:string, comment:null), ] +PREHOOK: query: insert overwrite table smb_join_results +select /*+mapjoin(a)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_bucket4_1 +PREHOOK: Input: default@smb_bucket4_2 +PREHOOK: Output: default@smb_join_results +[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 smb_join_results +select /*+mapjoin(a)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_bucket4_1 +POSTHOOK: Input: default@smb_bucket4_2 +POSTHOOK: Output: default@smb_join_results +POSTHOOK: Lineage: smb_join_results.k1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: smb_join_results.k2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: smb_join_results.v1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:value, type:string, comment:null), ] +POSTHOOK: Lineage: smb_join_results.v2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:value, type:string, comment:null), ] +PREHOOK: query: select * from smb_join_results order by k1 +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_join_results +#### A masked pattern was here #### +POSTHOOK: query: select * from smb_join_results order by k1 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_join_results +#### A masked pattern was here #### +0 val_0 0 val_0 +0 val_0 0 val_0 +0 val_0 0 val_0 +0 val_0 0 val_0 +0 val_0 0 val_0 +0 val_0 0 val_0 +0 val_0 0 val_0 +0 val_0 0 val_0 +0 val_0 0 val_0 +2 val_2 2 val_2 +4 val_4 4 val_4 +5 val_5 5 val_5 +5 val_5 5 val_5 +5 val_5 5 val_5 +5 val_5 5 val_5 +5 val_5 5 val_5 +5 val_5 5 val_5 +5 val_5 5 val_5 +5 val_5 5 val_5 +5 val_5 5 val_5 +8 val_8 8 val_8 +9 val_9 9 val_9 +10 val_10 10 val_10 +11 val_11 11 val_11 +12 val_12 12 val_12 +12 val_12 12 val_12 +12 val_12 12 val_12 +12 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val_489 489 val_489 +489 val_489 489 val_489 +490 val_490 490 val_490 +491 val_491 491 val_491 +492 val_492 492 val_492 +492 val_492 492 val_492 +492 val_492 492 val_492 +492 val_492 492 val_492 +493 val_493 493 val_493 +494 val_494 494 val_494 +495 val_495 495 val_495 +496 val_496 496 val_496 +497 val_497 497 val_497 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +498 val_498 498 val_498 +PREHOOK: query: insert overwrite table normal_join_results select * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_bucket4_1 +PREHOOK: Input: default@smb_bucket4_2 +PREHOOK: Output: default@normal_join_results +[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 normal_join_results select * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_bucket4_1 +POSTHOOK: Input: default@smb_bucket4_2 +POSTHOOK: Output: default@normal_join_results +POSTHOOK: Lineage: normal_join_results.k1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: normal_join_results.k2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: normal_join_results.v1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:value, type:string, comment:null), ] +POSTHOOK: Lineage: normal_join_results.v2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:value, type:string, comment:null), ] +PREHOOK: query: select sum(hash(k1)) as k1, sum(hash(k2)) as k2, sum(hash(v1)) as v1, sum(hash(v2)) as v2 from normal_join_results +PREHOOK: type: QUERY +PREHOOK: Input: default@normal_join_results +#### A masked pattern was here #### +POSTHOOK: query: select sum(hash(k1)) as k1, sum(hash(k2)) as k2, sum(hash(v1)) as v1, sum(hash(v2)) as v2 from normal_join_results +POSTHOOK: type: QUERY +POSTHOOK: Input: default@normal_join_results +#### A masked pattern was here #### +278697 278697 101852390308 101852390308 +PREHOOK: query: select sum(hash(k1)) as k1, sum(hash(k2)) as k2, sum(hash(v1)) as v1, sum(hash(v2)) as v2 from smb_join_results +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_join_results +#### A masked pattern was here #### +POSTHOOK: query: select sum(hash(k1)) as k1, sum(hash(k2)) as k2, sum(hash(v1)) as v1, sum(hash(v2)) as v2 from smb_join_results +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_join_results +#### A masked pattern was here #### +278697 278697 101852390308 101852390308 +PREHOOK: query: explain +insert overwrite table smb_join_results +select /*+mapjoin(a)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key where a.key>1000 +PREHOOK: type: QUERY +POSTHOOK: query: explain +insert overwrite table smb_join_results +select /*+mapjoin(a)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key where a.key>1000 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + Stage-3 depends on stages: Stage-0 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP PARTITION-LEVEL SORT, 1), Map 3 (GROUP PARTITION-LEVEL SORT, 1) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: b + Statistics: Num rows: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key is not null and (key > 1000)) (type: boolean) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + value expressions: value (type: string) + Map 3 + Map Operator Tree: + TableScan + alias: a + Statistics: Num rows: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key is not null and (key > 1000)) (type: boolean) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 8 Data size: 834 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 + condition expressions: + 0 {KEY.reducesinkkey0} {VALUE._col0} + 1 {KEY.reducesinkkey0} {VALUE._col0} + outputColumnNames: _col0, _col1, _col5, _col6 + Statistics: Num rows: 8 Data size: 917 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: string), _col5 (type: int), _col6 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 8 Data size: 917 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 8 Data size: 917 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 + name: default.smb_join_results + + Stage: Stage-2 + Dependency Collection + + Stage: Stage-0 + Move Operator + tables: + replace: true + 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 + name: default.smb_join_results + + Stage: Stage-3 + Stats-Aggr Operator + +PREHOOK: query: insert overwrite table smb_join_results +select /*+mapjoin(a)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key where a.key>1000 +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_bucket4_1 +PREHOOK: Input: default@smb_bucket4_2 +PREHOOK: Output: default@smb_join_results +[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 smb_join_results +select /*+mapjoin(a)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key where a.key>1000 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_bucket4_1 +POSTHOOK: Input: default@smb_bucket4_2 +POSTHOOK: Output: default@smb_join_results +POSTHOOK: Lineage: smb_join_results.k1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: smb_join_results.k2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: smb_join_results.v1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:value, type:string, comment:null), ] +POSTHOOK: Lineage: smb_join_results.v2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:value, type:string, comment:null), ] +PREHOOK: query: explain +insert overwrite table smb_join_results +select /*+mapjoin(b)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key where a.key>1000 +PREHOOK: type: QUERY +POSTHOOK: query: explain +insert overwrite table smb_join_results +select /*+mapjoin(b)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key where a.key>1000 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-2 depends on stages: Stage-1 + Stage-0 depends on stages: Stage-2 + Stage-3 depends on stages: Stage-0 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP PARTITION-LEVEL SORT, 1), Map 3 (GROUP PARTITION-LEVEL SORT, 1) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: b + Statistics: Num rows: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key is not null and (key > 1000)) (type: boolean) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + value expressions: value (type: string) + Map 3 + Map Operator Tree: + TableScan + alias: a + Statistics: Num rows: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key is not null and (key > 1000)) (type: boolean) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 8 Data size: 834 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 + condition expressions: + 0 {KEY.reducesinkkey0} {VALUE._col0} + 1 {KEY.reducesinkkey0} {VALUE._col0} + outputColumnNames: _col0, _col1, _col5, _col6 + Statistics: Num rows: 8 Data size: 917 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: string), _col5 (type: int), _col6 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 8 Data size: 917 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 8 Data size: 917 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 + name: default.smb_join_results + + Stage: Stage-2 + Dependency Collection + + Stage: Stage-0 + Move Operator + tables: + replace: true + 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 + name: default.smb_join_results + + Stage: Stage-3 + Stats-Aggr Operator + +PREHOOK: query: insert overwrite table smb_join_results +select /*+mapjoin(b)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key where a.key>1000 +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_bucket4_1 +PREHOOK: Input: default@smb_bucket4_2 +PREHOOK: Output: default@smb_join_results +[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 smb_join_results +select /*+mapjoin(b)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key where a.key>1000 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_bucket4_1 +POSTHOOK: Input: default@smb_bucket4_2 +POSTHOOK: Output: default@smb_join_results +POSTHOOK: Lineage: smb_join_results.k1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: smb_join_results.k2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:key, type:int, comment:null), ] +POSTHOOK: Lineage: smb_join_results.v1 SIMPLE [(smb_bucket4_1)a.FieldSchema(name:value, type:string, comment:null), ] +POSTHOOK: Lineage: smb_join_results.v2 SIMPLE [(smb_bucket4_2)b.FieldSchema(name:value, type:string, comment:null), ] +PREHOOK: query: explain +select /*+mapjoin(b,c)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key join smb_bucket4_2 c on b.key = c.key where a.key>1000 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select /*+mapjoin(b,c)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key join smb_bucket4_2 c on b.key = c.key where a.key>1000 +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: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key is not null and (key > 1000)) (type: boolean) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + value expressions: value (type: string) + Map 3 + Map Operator Tree: + TableScan + alias: c + Statistics: Num rows: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key is not null and (key > 1000)) (type: boolean) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + value expressions: value (type: string) + Map 4 + Map Operator Tree: + TableScan + alias: a + Statistics: Num rows: 48 Data size: 5008 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (key is not null and (key > 1000)) (type: boolean) + Statistics: Num rows: 8 Data size: 834 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: key (type: int) + sort order: + + Map-reduce partition columns: key (type: int) + Statistics: Num rows: 8 Data size: 834 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 + 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: 17 Data size: 1834 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col1 (type: string), _col5 (type: int), _col6 (type: string), _col10 (type: int), _col11 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 17 Data size: 1834 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 17 Data size: 1834 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(b,c)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key join smb_bucket4_2 c on b.key = c.key where a.key>1000 +PREHOOK: type: QUERY +PREHOOK: Input: default@smb_bucket4_1 +PREHOOK: Input: default@smb_bucket4_2 +#### A masked pattern was here #### +POSTHOOK: query: select /*+mapjoin(b,c)*/ * from smb_bucket4_1 a join smb_bucket4_2 b on a.key = b.key join smb_bucket4_2 c on b.key = c.key where a.key>1000 +POSTHOOK: type: QUERY +POSTHOOK: Input: default@smb_bucket4_1 +POSTHOOK: Input: default@smb_bucket4_2 +#### A masked pattern was here ####
