http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query9.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query9.q.out b/ql/src/test/results/clientpositive/perf/spark/query9.q.out new file mode 100644 index 0000000..4ec2007 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query9.q.out @@ -0,0 +1,824 @@ +Warning: Map Join MAPJOIN[171][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[172][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[173][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[174][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[175][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[176][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[177][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[178][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[179][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[180][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[181][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[182][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[183][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[184][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +Warning: Map Join MAPJOIN[185][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +PREHOOK: query: explain +select case when (select count(*) + from store_sales + where ss_quantity between 1 and 20) > 409437 + then (select avg(ss_ext_list_price) + from store_sales + where ss_quantity between 1 and 20) + else (select avg(ss_net_paid_inc_tax) + from store_sales + where ss_quantity between 1 and 20) end bucket1 , + case when (select count(*) + from store_sales + where ss_quantity between 21 and 40) > 4595804 + then (select avg(ss_ext_list_price) + from store_sales + where ss_quantity between 21 and 40) + else (select avg(ss_net_paid_inc_tax) + from store_sales + where ss_quantity between 21 and 40) end bucket2, + case when (select count(*) + from store_sales + where ss_quantity between 41 and 60) > 7887297 + then (select avg(ss_ext_list_price) + from store_sales + where ss_quantity between 41 and 60) + else (select avg(ss_net_paid_inc_tax) + from store_sales + where ss_quantity between 41 and 60) end bucket3, + case when (select count(*) + from store_sales + where ss_quantity between 61 and 80) > 10872978 + then (select avg(ss_ext_list_price) + from store_sales + where ss_quantity between 61 and 80) + else (select avg(ss_net_paid_inc_tax) + from store_sales + where ss_quantity between 61 and 80) end bucket4, + case when (select count(*) + from store_sales + where ss_quantity between 81 and 100) > 43571537 + then (select avg(ss_ext_list_price) + from store_sales + where ss_quantity between 81 and 100) + else (select avg(ss_net_paid_inc_tax) + from store_sales + where ss_quantity between 81 and 100) end bucket5 +from reason +where r_reason_sk = 1 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select case when (select count(*) + from store_sales + where ss_quantity between 1 and 20) > 409437 + then (select avg(ss_ext_list_price) + from store_sales + where ss_quantity between 1 and 20) + else (select avg(ss_net_paid_inc_tax) + from store_sales + where ss_quantity between 1 and 20) end bucket1 , + case when (select count(*) + from store_sales + where ss_quantity between 21 and 40) > 4595804 + then (select avg(ss_ext_list_price) + from store_sales + where ss_quantity between 21 and 40) + else (select avg(ss_net_paid_inc_tax) + from store_sales + where ss_quantity between 21 and 40) end bucket2, + case when (select count(*) + from store_sales + where ss_quantity between 41 and 60) > 7887297 + then (select avg(ss_ext_list_price) + from store_sales + where ss_quantity between 41 and 60) + else (select avg(ss_net_paid_inc_tax) + from store_sales + where ss_quantity between 41 and 60) end bucket3, + case when (select count(*) + from store_sales + where ss_quantity between 61 and 80) > 10872978 + then (select avg(ss_ext_list_price) + from store_sales + where ss_quantity between 61 and 80) + else (select avg(ss_net_paid_inc_tax) + from store_sales + where ss_quantity between 61 and 80) end bucket4, + case when (select count(*) + from store_sales + where ss_quantity between 81 and 100) > 43571537 + then (select avg(ss_ext_list_price) + from store_sales + where ss_quantity between 81 and 100) + else (select avg(ss_net_paid_inc_tax) + from store_sales + where ss_quantity between 81 and 100) end bucket5 +from reason +where r_reason_sk = 1 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-1 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Spark + Edges: + Reducer 11 <- Map 10 (GROUP, 1) + Reducer 13 <- Map 12 (GROUP, 1) + Reducer 15 <- Map 14 (GROUP, 1) + Reducer 17 <- Map 16 (GROUP, 1) + Reducer 19 <- Map 18 (GROUP, 1) + Reducer 21 <- Map 20 (GROUP, 1) + Reducer 23 <- Map 22 (GROUP, 1) + Reducer 25 <- Map 24 (GROUP, 1) + Reducer 27 <- Map 26 (GROUP, 1) + Reducer 29 <- Map 28 (GROUP, 1) + Reducer 3 <- Map 2 (GROUP, 1) + Reducer 31 <- Map 30 (GROUP, 1) + Reducer 5 <- Map 4 (GROUP, 1) + Reducer 7 <- Map 6 (GROUP, 1) + Reducer 9 <- Map 8 (GROUP, 1) +#### A masked pattern was here #### + Vertices: + Map 10 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 21 AND 40 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_ext_list_price (type: decimal(7,2)) + outputColumnNames: ss_ext_list_price + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_ext_list_price) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 12 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 21 AND 40 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_net_paid_inc_tax (type: decimal(7,2)) + outputColumnNames: ss_net_paid_inc_tax + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_net_paid_inc_tax) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 14 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 41 AND 60 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 63999515 Data size: 5646055787 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) + Map 16 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 41 AND 60 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_ext_list_price (type: decimal(7,2)) + outputColumnNames: ss_ext_list_price + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_ext_list_price) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 18 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 41 AND 60 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_net_paid_inc_tax (type: decimal(7,2)) + outputColumnNames: ss_net_paid_inc_tax + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_net_paid_inc_tax) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 2 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 1 AND 20 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 63999515 Data size: 5646055787 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) + Map 20 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 61 AND 80 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 63999515 Data size: 5646055787 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) + Map 22 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 61 AND 80 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_ext_list_price (type: decimal(7,2)) + outputColumnNames: ss_ext_list_price + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_ext_list_price) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 24 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 61 AND 80 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_net_paid_inc_tax (type: decimal(7,2)) + outputColumnNames: ss_net_paid_inc_tax + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_net_paid_inc_tax) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 26 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 81 AND 100 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 63999515 Data size: 5646055787 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) + Map 28 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 81 AND 100 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_ext_list_price (type: decimal(7,2)) + outputColumnNames: ss_ext_list_price + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_ext_list_price) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 30 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 81 AND 100 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_net_paid_inc_tax (type: decimal(7,2)) + outputColumnNames: ss_net_paid_inc_tax + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_net_paid_inc_tax) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 4 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 1 AND 20 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_ext_list_price (type: decimal(7,2)) + outputColumnNames: ss_ext_list_price + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_ext_list_price) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 6 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 1 AND 20 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_net_paid_inc_tax (type: decimal(7,2)) + outputColumnNames: ss_net_paid_inc_tax + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_net_paid_inc_tax) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 8 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ss_quantity BETWEEN 21 AND 40 (type: boolean) + Statistics: Num rows: 63999515 Data size: 5646055787 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 63999515 Data size: 5646055787 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) + Reducer 11 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 13 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 15 + Local Work: + Map Reduce Local Work + 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 + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 17 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 19 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 21 + Local Work: + Map Reduce Local Work + 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 + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 23 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 25 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 27 + Local Work: + Map Reduce Local Work + 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 + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 29 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 3 + Local Work: + Map Reduce Local Work + 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 + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 31 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 5 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 7 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 288 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + Reducer 9 + Local Work: + Map Reduce Local Work + 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 + Spark HashTable Sink Operator + keys: + 0 + 1 + + Stage: Stage-1 + Spark +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: reason + Statistics: Num rows: 72 Data size: 14400 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (r_reason_sk = 1) (type: boolean) + Statistics: Num rows: 36 Data size: 7200 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 36 Data size: 7200 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1 + input vertices: + 1 Reducer 3 + Statistics: Num rows: 36 Data size: 7524 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2 + input vertices: + 1 Reducer 5 + Statistics: Num rows: 36 Data size: 17928 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3 + input vertices: + 1 Reducer 7 + Statistics: Num rows: 36 Data size: 28332 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4 + input vertices: + 1 Reducer 9 + Statistics: Num rows: 36 Data size: 28656 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5 + input vertices: + 1 Reducer 11 + Statistics: Num rows: 36 Data size: 39060 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6 + input vertices: + 1 Reducer 13 + Statistics: Num rows: 36 Data size: 49464 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7 + input vertices: + 1 Reducer 15 + Statistics: Num rows: 36 Data size: 49788 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + input vertices: + 1 Reducer 17 + Statistics: Num rows: 36 Data size: 60192 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 + input vertices: + 1 Reducer 19 + Statistics: Num rows: 36 Data size: 70596 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10 + input vertices: + 1 Reducer 21 + Statistics: Num rows: 36 Data size: 70920 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11 + input vertices: + 1 Reducer 23 + Statistics: Num rows: 36 Data size: 81324 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12 + input vertices: + 1 Reducer 25 + Statistics: Num rows: 36 Data size: 91728 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13 + input vertices: + 1 Reducer 27 + Statistics: Num rows: 36 Data size: 92052 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14 + input vertices: + 1 Reducer 29 + Statistics: Num rows: 36 Data size: 102456 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14, _col15 + input vertices: + 1 Reducer 31 + Statistics: Num rows: 36 Data size: 112860 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: CASE WHEN ((_col1 > 409437)) THEN (_col2) ELSE (_col3) END (type: decimal(11,6)), CASE WHEN ((_col4 > 4595804)) THEN (_col5) ELSE (_col6) END (type: decimal(11,6)), CASE WHEN ((_col7 > 7887297)) THEN (_col8) ELSE (_col9) END (type: decimal(11,6)), CASE WHEN ((_col10 > 10872978)) THEN (_col11) ELSE (_col12) END (type: decimal(11,6)), CASE WHEN ((_col13 > 43571537)) THEN (_col14) ELSE (_col15) END (type: decimal(11,6)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 36 Data size: 112860 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 36 Data size: 112860 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 + Local Work: + Map Reduce Local Work + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink +
http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query90.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query90.q.out b/ql/src/test/results/clientpositive/perf/spark/query90.q.out new file mode 100644 index 0000000..115a2cc --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query90.q.out @@ -0,0 +1,351 @@ +Warning: Map Join MAPJOIN[68][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +PREHOOK: query: explain +select cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio + from ( select count(*) amc + from web_sales, household_demographics , time_dim, web_page + where ws_sold_time_sk = time_dim.t_time_sk + and ws_ship_hdemo_sk = household_demographics.hd_demo_sk + and ws_web_page_sk = web_page.wp_web_page_sk + and time_dim.t_hour between 6 and 6+1 + and household_demographics.hd_dep_count = 8 + and web_page.wp_char_count between 5000 and 5200) at, + ( select count(*) pmc + from web_sales, household_demographics , time_dim, web_page + where ws_sold_time_sk = time_dim.t_time_sk + and ws_ship_hdemo_sk = household_demographics.hd_demo_sk + and ws_web_page_sk = web_page.wp_web_page_sk + and time_dim.t_hour between 14 and 14+1 + and household_demographics.hd_dep_count = 8 + and web_page.wp_char_count between 5000 and 5200) pt + order by am_pm_ratio + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio + from ( select count(*) amc + from web_sales, household_demographics , time_dim, web_page + where ws_sold_time_sk = time_dim.t_time_sk + and ws_ship_hdemo_sk = household_demographics.hd_demo_sk + and ws_web_page_sk = web_page.wp_web_page_sk + and time_dim.t_hour between 6 and 6+1 + and household_demographics.hd_dep_count = 8 + and web_page.wp_char_count between 5000 and 5200) at, + ( select count(*) pmc + from web_sales, household_demographics , time_dim, web_page + where ws_sold_time_sk = time_dim.t_time_sk + and ws_ship_hdemo_sk = household_demographics.hd_demo_sk + and ws_web_page_sk = web_page.wp_web_page_sk + and time_dim.t_hour between 14 and 14+1 + and household_demographics.hd_dep_count = 8 + and web_page.wp_char_count between 5000 and 5200) pt + order by am_pm_ratio + limit 100 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-3 is a root stage + Stage-2 depends on stages: Stage-3 + Stage-4 depends on stages: Stage-2 + Stage-1 depends on stages: Stage-4 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-3 + Spark +#### A masked pattern was here #### + Vertices: + Map 10 + Map Operator Tree: + TableScan + alias: time_dim + Statistics: Num rows: 86400 Data size: 40694400 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (t_hour BETWEEN 14 AND 15 and t_time_sk is not null) (type: boolean) + Statistics: Num rows: 9600 Data size: 4521600 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: t_time_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 9600 Data size: 4521600 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + Map 11 + Map Operator Tree: + TableScan + alias: household_demographics + Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((hd_dep_count = 8) and hd_demo_sk is not null) (type: boolean) + Statistics: Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: hd_demo_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + Map 9 + Map Operator Tree: + TableScan + alias: web_page + Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (wp_char_count BETWEEN 5000 AND 5200 and wp_web_page_sk is not null) (type: boolean) + Statistics: Num rows: 511 Data size: 299380 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: wp_web_page_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 511 Data size: 299380 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-2 + Spark + Edges: + Reducer 8 <- Map 7 (GROUP, 1) +#### A masked pattern was here #### + Vertices: + Map 7 + Map Operator Tree: + TableScan + alias: web_sales + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (ws_ship_hdemo_sk is not null and ws_sold_time_sk is not null and ws_web_page_sk is not null) (type: boolean) + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ws_sold_time_sk (type: int), ws_ship_hdemo_sk (type: int), ws_web_page_sk (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col1 + input vertices: + 1 Map 9 + Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1 + input vertices: + 1 Map 10 + Statistics: Num rows: 174243235 Data size: 23692040863 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + input vertices: + 1 Map 11 + Statistics: Num rows: 191667562 Data size: 26061245514 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) + Local Work: + Map Reduce Local Work + Reducer 8 + Local Work: + Map Reduce Local Work + 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 + Spark HashTable Sink Operator + keys: + 0 + 1 + + Stage: Stage-4 + Spark +#### A masked pattern was here #### + Vertices: + Map 4 + Map Operator Tree: + TableScan + alias: web_page + Statistics: Num rows: 4602 Data size: 2696178 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (wp_char_count BETWEEN 5000 AND 5200 and wp_web_page_sk is not null) (type: boolean) + Statistics: Num rows: 511 Data size: 299380 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: wp_web_page_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 511 Data size: 299380 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + Map 5 + Map Operator Tree: + TableScan + alias: time_dim + Statistics: Num rows: 86400 Data size: 40694400 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (t_hour BETWEEN 6 AND 7 and t_time_sk is not null) (type: boolean) + Statistics: Num rows: 9600 Data size: 4521600 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: t_time_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 9600 Data size: 4521600 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + Map 6 + Map Operator Tree: + TableScan + alias: household_demographics + Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((hd_dep_count = 8) and hd_demo_sk is not null) (type: boolean) + Statistics: Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: hd_demo_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (GROUP, 1) + Reducer 3 <- Reducer 2 (SORT, 1) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: web_sales + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (ws_ship_hdemo_sk is not null and ws_sold_time_sk is not null and ws_web_page_sk is not null) (type: boolean) + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ws_sold_time_sk (type: int), ws_ship_hdemo_sk (type: int), ws_web_page_sk (type: int) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col1 + input vertices: + 1 Map 4 + Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1 + input vertices: + 1 Map 5 + Statistics: Num rows: 174243235 Data size: 23692040863 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + input vertices: + 1 Map 6 + Statistics: Num rows: 191667562 Data size: 26061245514 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) + Local Work: + Map Reduce Local Work + Reducer 2 + Local Work: + Map Reduce Local Work + 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 + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col0, _col1 + input vertices: + 1 Reducer 8 + Statistics: Num rows: 1 Data size: 17 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: (CAST( _col0 AS decimal(15,4)) / CAST( _col1 AS decimal(15,4))) (type: decimal(35,20)) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 17 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: decimal(35,20)) + sort order: + + Statistics: Num rows: 1 Data size: 17 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + Reducer 3 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: decimal(35,20)) + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 17 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 1 Data size: 17 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 1 Data size: 17 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query91.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query91.q.out b/ql/src/test/results/clientpositive/perf/spark/query91.q.out new file mode 100644 index 0000000..fce1a15 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query91.q.out @@ -0,0 +1,347 @@ +PREHOOK: query: explain +select + cc_call_center_id Call_Center, + cc_name Call_Center_Name, + cc_manager Manager, + sum(cr_net_loss) Returns_Loss +from + call_center, + catalog_returns, + date_dim, + customer, + customer_address, + customer_demographics, + household_demographics +where + cr_call_center_sk = cc_call_center_sk +and cr_returned_date_sk = d_date_sk +and cr_returning_customer_sk= c_customer_sk +and cd_demo_sk = c_current_cdemo_sk +and hd_demo_sk = c_current_hdemo_sk +and ca_address_sk = c_current_addr_sk +and d_year = 1999 +and d_moy = 11 +and ( (cd_marital_status = 'M' and cd_education_status = 'Unknown') + or(cd_marital_status = 'W' and cd_education_status = 'Advanced Degree')) +and hd_buy_potential like '0-500%' +and ca_gmt_offset = -7 +group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status +order by sum(cr_net_loss) desc +PREHOOK: type: QUERY +POSTHOOK: query: explain +select + cc_call_center_id Call_Center, + cc_name Call_Center_Name, + cc_manager Manager, + sum(cr_net_loss) Returns_Loss +from + call_center, + catalog_returns, + date_dim, + customer, + customer_address, + customer_demographics, + household_demographics +where + cr_call_center_sk = cc_call_center_sk +and cr_returned_date_sk = d_date_sk +and cr_returning_customer_sk= c_customer_sk +and cd_demo_sk = c_current_cdemo_sk +and hd_demo_sk = c_current_hdemo_sk +and ca_address_sk = c_current_addr_sk +and d_year = 1999 +and d_moy = 11 +and ( (cd_marital_status = 'M' and cd_education_status = 'Unknown') + or(cd_marital_status = 'W' and cd_education_status = 'Advanced Degree')) +and hd_buy_potential like '0-500%' +and ca_gmt_offset = -7 +group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status +order by sum(cr_net_loss) desc +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-3 depends on stages: Stage-2 + Stage-1 depends on stages: Stage-3 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Spark +#### A masked pattern was here #### + Vertices: + Map 7 + Map Operator Tree: + TableScan + alias: call_center + Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: cc_call_center_sk is not null (type: boolean) + Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cc_call_center_sk (type: int), cc_call_center_id (type: string), cc_name (type: string), cc_manager (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 60 Data size: 122700 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-3 + Spark +#### A masked pattern was here #### + Vertices: + Map 13 + Map Operator Tree: + TableScan + alias: household_demographics + Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((hd_buy_potential like '0-500%') and hd_demo_sk is not null) (type: boolean) + Statistics: Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: hd_demo_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-1 + Spark + Edges: + Reducer 10 <- Map 12 (PARTITION-LEVEL SORT, 750), Reducer 9 (PARTITION-LEVEL SORT, 750) + Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 25), Map 6 (PARTITION-LEVEL SORT, 25) + Reducer 3 <- Reducer 10 (PARTITION-LEVEL SORT, 745), Reducer 2 (PARTITION-LEVEL SORT, 745) + Reducer 4 <- Reducer 3 (GROUP, 787) + Reducer 5 <- Reducer 4 (SORT, 1) + Reducer 9 <- Map 11 (PARTITION-LEVEL SORT, 541), Map 8 (PARTITION-LEVEL SORT, 541) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: catalog_returns + Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (cr_call_center_sk is not null and cr_returned_date_sk is not null and cr_returning_customer_sk is not null) (type: boolean) + Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cr_returned_date_sk (type: int), cr_returning_customer_sk (type: int), cr_call_center_sk (type: int), cr_net_loss (type: decimal(7,2)) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2)) + Map 11 + Map Operator Tree: + TableScan + alias: customer_demographics + Statistics: Num rows: 1861800 Data size: 717186159 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((((cd_marital_status = 'M') and (cd_education_status = 'Unknown')) or ((cd_marital_status = 'W') and (cd_education_status = 'Advanced Degree'))) and ((cd_education_status = 'Unknown') or (cd_education_status = 'Advanced Degree')) and ((cd_marital_status = 'M') or (cd_marital_status = 'W')) and cd_demo_sk is not null) (type: boolean) + Statistics: Num rows: 930900 Data size: 358593079 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cd_demo_sk (type: int), cd_marital_status (type: string), cd_education_status (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 930900 Data size: 358593079 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 930900 Data size: 358593079 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string), _col2 (type: string) + Map 12 + Map Operator Tree: + TableScan + alias: customer_address + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((ca_gmt_offset = -7) and ca_address_sk is not null) (type: boolean) + Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ca_address_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE + Map 6 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((d_moy = 11) and (d_year = 1999) and d_date_sk is not null) (type: boolean) + Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_date_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Map 8 + Map Operator Tree: + TableScan + alias: customer + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_current_hdemo_sk is not null and c_customer_sk is not null) (type: boolean) + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: c_customer_sk (type: int), c_current_cdemo_sk (type: int), c_current_hdemo_sk (type: int), c_current_addr_sk (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int), _col2 (type: int), _col3 (type: int) + Reducer 10 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col3 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col2, _col5, _col6 + Statistics: Num rows: 96800003 Data size: 83249958789 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col5, _col6 + input vertices: + 1 Map 13 + Statistics: Num rows: 106480005 Data size: 91574956652 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), _col5 (type: string), _col6 (type: string) + outputColumnNames: _col2, _col7, _col8 + Statistics: Num rows: 106480005 Data size: 91574956652 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: int) + sort order: + + Map-reduce partition columns: _col2 (type: int) + Statistics: Num rows: 106480005 Data size: 91574956652 Basic stats: COMPLETE Column stats: NONE + value expressions: _col7 (type: string), _col8 (type: string) + Reducer 2 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col2, _col3 + Statistics: Num rows: 31678769 Data size: 3362958220 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col3, _col8, _col9, _col10 + input vertices: + 1 Map 7 + Statistics: Num rows: 34846646 Data size: 3699254122 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 34846646 Data size: 3699254122 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: decimal(7,2)), _col8 (type: string), _col9 (type: string), _col10 (type: string) + Reducer 3 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col2 (type: int) + outputColumnNames: _col3, _col8, _col9, _col10, _col18, _col19 + Statistics: Num rows: 117128008 Data size: 100732454500 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col3) + keys: _col8 (type: string), _col9 (type: string), _col10 (type: string), _col18 (type: string), _col19 (type: string) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 117128008 Data size: 100732454500 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string) + sort order: +++++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string) + Statistics: Num rows: 117128008 Data size: 100732454500 Basic stats: COMPLETE Column stats: NONE + value expressions: _col5 (type: decimal(17,2)) + Reducer 4 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 58564004 Data size: 50366227250 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col5 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2, _col6 + Statistics: Num rows: 58564004 Data size: 50366227250 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col6 (type: decimal(17,2)) + sort order: - + Statistics: Num rows: 58564004 Data size: 50366227250 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string) + Reducer 5 + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 58564004 Data size: 50366227250 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 58564004 Data size: 50366227250 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + Reducer 9 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col2, _col3, _col5, _col6 + Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col3 (type: int) + sort order: + + Map-reduce partition columns: _col3 (type: int) + Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int), _col2 (type: int), _col5 (type: string), _col6 (type: string) + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink +
