http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/query33.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query33.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query33.q.out index c82c415..6d7c620 100644 --- a/ql/src/test/results/clientpositive/perf/tez/constraints/query33.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query33.q.out @@ -194,57 +194,57 @@ Stage-0 limit:100 Stage-1 Reducer 7 vectorized - File Output Operator [FS_372] - Limit [LIM_371] (rows=59 width=115) + File Output Operator [FS_368] + Limit [LIM_367] (rows=59 width=115) Number of rows:100 - Select Operator [SEL_370] (rows=59 width=115) + Select Operator [SEL_366] (rows=59 width=115) Output:["_col0","_col1"] <-Reducer 6 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_369] - Group By Operator [GBY_368] (rows=59 width=115) + SHUFFLE [RS_365] + Group By Operator [GBY_364] (rows=59 width=115) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 <-Union 5 [SIMPLE_EDGE] <-Reducer 11 [CONTAINS] vectorized - Reduce Output Operator [RS_392] + Reduce Output Operator [RS_388] PartitionCols:_col0 - Group By Operator [GBY_391] (rows=59 width=115) + Group By Operator [GBY_387] (rows=59 width=115) Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 - Group By Operator [GBY_390] (rows=19 width=115) + Group By Operator [GBY_386] (rows=19 width=115) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 <-Reducer 10 [SIMPLE_EDGE] SHUFFLE [RS_109] PartitionCols:_col0 Group By Operator [GBY_108] (rows=19 width=115) Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1 - Merge Join Operator [MERGEJOIN_308] (rows=11364 width=3) + Merge Join Operator [MERGEJOIN_304] (rows=11364 width=3) Conds:RS_104._col0=RS_105._col2(Inner),Output:["_col1","_col7"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_104] PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_297] (rows=461514 width=7) - Conds:RS_323._col1=RS_329._col0(Inner),Output:["_col0","_col1"] + Merge Join Operator [MERGEJOIN_293] (rows=461514 width=7) + Conds:RS_319._col1=RS_325._col0(Inner),Output:["_col0","_col1"] <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_323] + SHUFFLE [RS_319] PartitionCols:_col1 - Select Operator [SEL_322] (rows=460848 width=7) + Select Operator [SEL_318] (rows=460848 width=7) Output:["_col0","_col1"] - Filter Operator [FIL_321] (rows=460848 width=7) + Filter Operator [FIL_317] (rows=460848 width=7) predicate:i_manufact_id is not null TableScan [TS_0] (rows=462000 width=7) default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_manufact_id"] <-Reducer 13 [ONE_TO_ONE_EDGE] vectorized - FORWARD [RS_329] + FORWARD [RS_325] PartitionCols:_col0 - Group By Operator [GBY_328] (rows=692 width=3) + Group By Operator [GBY_324] (rows=692 width=3) Output:["_col0"],keys:KEY._col0 <-Map 12 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_327] + SHUFFLE [RS_323] PartitionCols:_col0 - Group By Operator [GBY_326] (rows=692 width=3) + Group By Operator [GBY_322] (rows=692 width=3) Output:["_col0"],keys:i_manufact_id - Select Operator [SEL_325] (rows=46085 width=93) + Select Operator [SEL_321] (rows=46085 width=93) Output:["i_manufact_id"] - Filter Operator [FIL_324] (rows=46085 width=93) + Filter Operator [FIL_320] (rows=46085 width=93) predicate:((i_category = 'Books') and i_manufact_id is not null) TableScan [TS_3] (rows=462000 width=93) default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_category","i_manufact_id"] @@ -253,198 +253,198 @@ Stage-0 PartitionCols:_col2 Select Operator [SEL_100] (rows=788222 width=110) Output:["_col2","_col4"] - Merge Join Operator [MERGEJOIN_305] (rows=788222 width=110) - Conds:RS_97._col2=RS_352._col0(Inner),Output:["_col1","_col3"] + Merge Join Operator [MERGEJOIN_301] (rows=788222 width=110) + Conds:RS_97._col2=RS_348._col0(Inner),Output:["_col1","_col3"] <-Map 25 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_352] + PARTITION_ONLY_SHUFFLE [RS_348] PartitionCols:_col0 - Select Operator [SEL_347] (rows=8000000 width=4) + Select Operator [SEL_343] (rows=8000000 width=4) Output:["_col0"] - Filter Operator [FIL_346] (rows=8000000 width=112) + Filter Operator [FIL_342] (rows=8000000 width=112) predicate:(ca_gmt_offset = -6) TableScan [TS_16] (rows=40000000 width=112) default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_gmt_offset"] <-Reducer 22 [SIMPLE_EDGE] SHUFFLE [RS_97] PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_304] (rows=3941109 width=118) - Conds:RS_389._col0=RS_336._col0(Inner),Output:["_col1","_col2","_col3"] + Merge Join Operator [MERGEJOIN_300] (rows=3941109 width=118) + Conds:RS_385._col0=RS_332._col0(Inner),Output:["_col1","_col2","_col3"] <-Map 17 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_336] + PARTITION_ONLY_SHUFFLE [RS_332] PartitionCols:_col0 - Select Operator [SEL_331] (rows=50 width=4) + Select Operator [SEL_327] (rows=50 width=4) Output:["_col0"] - Filter Operator [FIL_330] (rows=50 width=12) + Filter Operator [FIL_326] (rows=50 width=12) predicate:((d_moy = 3) and (d_year = 1999)) TableScan [TS_13] (rows=73049 width=12) default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year","d_moy"] <-Map 30 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_389] + SHUFFLE [RS_385] PartitionCols:_col0 - Select Operator [SEL_388] (rows=143931246 width=123) + Select Operator [SEL_384] (rows=143931246 width=123) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_387] (rows=143931246 width=123) + Filter Operator [FIL_383] (rows=143931246 width=123) predicate:((ws_bill_addr_sk BETWEEN DynamicValue(RS_98_customer_address_ca_address_sk_min) AND DynamicValue(RS_98_customer_address_ca_address_sk_max) and in_bloom_filter(ws_bill_addr_sk, DynamicValue(RS_98_customer_address_ca_address_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_95_date_dim_d_date_sk_min) AND DynamicValue(RS_95_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_95_date_dim_d_date_sk_bloom_filter))) and ws_bill_addr_sk is not null and ws_sold_date_sk is not null) TableScan [TS_85] (rows=144002668 width=123) default@web_sales,web_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_sold_date_sk","ws_item_sk","ws_bill_addr_sk","ws_ext_sales_price"] <-Reducer 24 [BROADCAST_EDGE] vectorized - BROADCAST [RS_384] - Group By Operator [GBY_383] (rows=1 width=12) + BROADCAST [RS_380] + Group By Operator [GBY_379] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 17 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_343] - Group By Operator [GBY_340] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_339] + Group By Operator [GBY_336] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_337] (rows=50 width=4) + Select Operator [SEL_333] (rows=50 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_331] + Please refer to the previous Select Operator [SEL_327] <-Reducer 28 [BROADCAST_EDGE] vectorized - BROADCAST [RS_386] - Group By Operator [GBY_385] (rows=1 width=12) + BROADCAST [RS_382] + Group By Operator [GBY_381] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"] <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_359] - Group By Operator [GBY_356] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_355] + Group By Operator [GBY_352] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"] - Select Operator [SEL_353] (rows=8000000 width=4) + Select Operator [SEL_349] (rows=8000000 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_347] + Please refer to the previous Select Operator [SEL_343] <-Reducer 4 [CONTAINS] vectorized - Reduce Output Operator [RS_367] + Reduce Output Operator [RS_363] PartitionCols:_col0 - Group By Operator [GBY_366] (rows=59 width=115) + Group By Operator [GBY_362] (rows=59 width=115) Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 - Group By Operator [GBY_365] (rows=64 width=115) + Group By Operator [GBY_361] (rows=64 width=115) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_34] PartitionCols:_col0 Group By Operator [GBY_33] (rows=64 width=115) Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1 - Merge Join Operator [MERGEJOIN_306] (rows=41476 width=3) + Merge Join Operator [MERGEJOIN_302] (rows=41476 width=3) Conds:RS_29._col0=RS_30._col2(Inner),Output:["_col1","_col7"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_29] PartitionCols:_col0 - Please refer to the previous Merge Join Operator [MERGEJOIN_297] + Please refer to the previous Merge Join Operator [MERGEJOIN_293] <-Reducer 16 [SIMPLE_EDGE] SHUFFLE [RS_30] PartitionCols:_col2 Select Operator [SEL_25] (rows=2876890 width=4) Output:["_col2","_col4"] - Merge Join Operator [MERGEJOIN_299] (rows=2876890 width=4) - Conds:RS_22._col2=RS_348._col0(Inner),Output:["_col1","_col3"] + Merge Join Operator [MERGEJOIN_295] (rows=2876890 width=4) + Conds:RS_22._col2=RS_344._col0(Inner),Output:["_col1","_col3"] <-Map 25 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_348] + PARTITION_ONLY_SHUFFLE [RS_344] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_347] + Please refer to the previous Select Operator [SEL_343] <-Reducer 15 [SIMPLE_EDGE] SHUFFLE [RS_22] PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_298] (rows=14384447 width=4) - Conds:RS_364._col0=RS_332._col0(Inner),Output:["_col1","_col2","_col3"] + Merge Join Operator [MERGEJOIN_294] (rows=14384447 width=4) + Conds:RS_360._col0=RS_328._col0(Inner),Output:["_col1","_col2","_col3"] <-Map 17 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_332] + PARTITION_ONLY_SHUFFLE [RS_328] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_331] + Please refer to the previous Select Operator [SEL_327] <-Map 14 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_364] + SHUFFLE [RS_360] PartitionCols:_col0 - Select Operator [SEL_363] (rows=525327191 width=118) + Select Operator [SEL_359] (rows=525327191 width=118) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_362] (rows=525327191 width=118) + Filter Operator [FIL_358] (rows=525327191 width=118) predicate:((ss_addr_sk BETWEEN DynamicValue(RS_23_customer_address_ca_address_sk_min) AND DynamicValue(RS_23_customer_address_ca_address_sk_max) and in_bloom_filter(ss_addr_sk, DynamicValue(RS_23_customer_address_ca_address_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_20_date_dim_d_date_sk_min) AND DynamicValue(RS_20_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_20_date_dim_d_date_sk_bloom_filter))) and ss_addr_sk is not null and ss_sold_date_sk is not null) TableScan [TS_10] (rows=575995635 width=118) default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_item_sk","ss_addr_sk","ss_ext_sales_price"] <-Reducer 18 [BROADCAST_EDGE] vectorized - BROADCAST [RS_345] - Group By Operator [GBY_344] (rows=1 width=12) + BROADCAST [RS_341] + Group By Operator [GBY_340] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 17 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_341] - Group By Operator [GBY_338] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_337] + Group By Operator [GBY_334] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_333] (rows=50 width=4) + Select Operator [SEL_329] (rows=50 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_331] + Please refer to the previous Select Operator [SEL_327] <-Reducer 26 [BROADCAST_EDGE] vectorized - BROADCAST [RS_361] - Group By Operator [GBY_360] (rows=1 width=12) + BROADCAST [RS_357] + Group By Operator [GBY_356] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"] <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_357] - Group By Operator [GBY_354] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_353] + Group By Operator [GBY_350] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"] - Select Operator [SEL_349] (rows=8000000 width=4) + Select Operator [SEL_345] (rows=8000000 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_347] + Please refer to the previous Select Operator [SEL_343] <-Reducer 9 [CONTAINS] vectorized - Reduce Output Operator [RS_382] + Reduce Output Operator [RS_378] PartitionCols:_col0 - Group By Operator [GBY_381] (rows=59 width=115) + Group By Operator [GBY_377] (rows=59 width=115) Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 - Group By Operator [GBY_380] (rows=35 width=115) + Group By Operator [GBY_376] (rows=35 width=115) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 <-Reducer 8 [SIMPLE_EDGE] SHUFFLE [RS_71] PartitionCols:_col0 Group By Operator [GBY_70] (rows=35 width=115) Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1 - Merge Join Operator [MERGEJOIN_307] (rows=22352 width=3) + Merge Join Operator [MERGEJOIN_303] (rows=22352 width=3) Conds:RS_66._col0=RS_67._col3(Inner),Output:["_col1","_col7"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_66] PartitionCols:_col0 - Please refer to the previous Merge Join Operator [MERGEJOIN_297] + Please refer to the previous Merge Join Operator [MERGEJOIN_293] <-Reducer 20 [SIMPLE_EDGE] SHUFFLE [RS_67] PartitionCols:_col3 Select Operator [SEL_62] (rows=1550375 width=13) Output:["_col3","_col4"] - Merge Join Operator [MERGEJOIN_302] (rows=1550375 width=13) - Conds:RS_59._col1=RS_350._col0(Inner),Output:["_col2","_col3"] + Merge Join Operator [MERGEJOIN_298] (rows=1550375 width=13) + Conds:RS_59._col1=RS_346._col0(Inner),Output:["_col2","_col3"] <-Map 25 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_350] + PARTITION_ONLY_SHUFFLE [RS_346] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_347] + Please refer to the previous Select Operator [SEL_343] <-Reducer 19 [SIMPLE_EDGE] SHUFFLE [RS_59] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_301] (rows=7751872 width=98) - Conds:RS_379._col0=RS_334._col0(Inner),Output:["_col1","_col2","_col3"] + Merge Join Operator [MERGEJOIN_297] (rows=7751872 width=98) + Conds:RS_375._col0=RS_330._col0(Inner),Output:["_col1","_col2","_col3"] <-Map 17 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_334] + PARTITION_ONLY_SHUFFLE [RS_330] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_331] + Please refer to the previous Select Operator [SEL_327] <-Map 29 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_379] + SHUFFLE [RS_375] PartitionCols:_col0 - Select Operator [SEL_378] (rows=285117733 width=123) + Select Operator [SEL_374] (rows=285117733 width=123) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_377] (rows=285117733 width=123) + Filter Operator [FIL_373] (rows=285117733 width=123) predicate:((cs_bill_addr_sk BETWEEN DynamicValue(RS_60_customer_address_ca_address_sk_min) AND DynamicValue(RS_60_customer_address_ca_address_sk_max) and in_bloom_filter(cs_bill_addr_sk, DynamicValue(RS_60_customer_address_ca_address_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_57_date_dim_d_date_sk_min) AND DynamicValue(RS_57_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_57_date_dim_d_date_sk_bloom_filter))) and cs_bill_addr_sk is not null and cs_sold_date_sk is not null) TableScan [TS_47] (rows=287989836 width=123) default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_addr_sk","cs_item_sk","cs_ext_sales_price"] <-Reducer 21 [BROADCAST_EDGE] vectorized - BROADCAST [RS_374] - Group By Operator [GBY_373] (rows=1 width=12) + BROADCAST [RS_370] + Group By Operator [GBY_369] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 17 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_342] - Group By Operator [GBY_339] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_338] + Group By Operator [GBY_335] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_335] (rows=50 width=4) + Select Operator [SEL_331] (rows=50 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_331] + Please refer to the previous Select Operator [SEL_327] <-Reducer 27 [BROADCAST_EDGE] vectorized - BROADCAST [RS_376] - Group By Operator [GBY_375] (rows=1 width=12) + BROADCAST [RS_372] + Group By Operator [GBY_371] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"] <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_358] - Group By Operator [GBY_355] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_354] + Group By Operator [GBY_351] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"] - Select Operator [SEL_351] (rows=8000000 width=4) + Select Operator [SEL_347] (rows=8000000 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_347] + Please refer to the previous Select Operator [SEL_343]
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/query56.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query56.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query56.q.out index b57ded3..cac7668 100644 --- a/ql/src/test/results/clientpositive/perf/tez/constraints/query56.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query56.q.out @@ -183,55 +183,55 @@ Stage-0 limit:100 Stage-1 Reducer 7 vectorized - File Output Operator [FS_370] - Limit [LIM_369] (rows=100 width=212) + File Output Operator [FS_366] + Limit [LIM_365] (rows=100 width=212) Number of rows:100 - Select Operator [SEL_368] (rows=430 width=212) + Select Operator [SEL_364] (rows=430 width=212) Output:["_col0","_col1"] <-Reducer 6 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_367] - Group By Operator [GBY_366] (rows=430 width=212) + SHUFFLE [RS_363] + Group By Operator [GBY_362] (rows=430 width=212) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 <-Union 5 [SIMPLE_EDGE] <-Reducer 10 [CONTAINS] vectorized - Reduce Output Operator [RS_382] + Reduce Output Operator [RS_378] PartitionCols:_col0 - Group By Operator [GBY_381] (rows=430 width=212) + Group By Operator [GBY_377] (rows=430 width=212) Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 - Group By Operator [GBY_380] (rows=430 width=212) + Group By Operator [GBY_376] (rows=430 width=212) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 <-Reducer 9 [SIMPLE_EDGE] SHUFFLE [RS_69] PartitionCols:_col0 Group By Operator [GBY_68] (rows=430 width=212) Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1 - Merge Join Operator [MERGEJOIN_304] (rows=373066 width=100) + Merge Join Operator [MERGEJOIN_300] (rows=373066 width=100) Conds:RS_64._col0=RS_65._col3(Inner),Output:["_col1","_col7"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_64] PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_294] (rows=17170 width=104) - Conds:RS_319._col1=RS_325._col0(Inner),Output:["_col0","_col1"] + Merge Join Operator [MERGEJOIN_290] (rows=17170 width=104) + Conds:RS_315._col1=RS_321._col0(Inner),Output:["_col0","_col1"] <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_319] + SHUFFLE [RS_315] PartitionCols:_col1 - Select Operator [SEL_318] (rows=462000 width=104) + Select Operator [SEL_314] (rows=462000 width=104) Output:["_col0","_col1"] TableScan [TS_0] (rows=462000 width=104) default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id"] <-Reducer 16 [ONE_TO_ONE_EDGE] vectorized - FORWARD [RS_325] + FORWARD [RS_321] PartitionCols:_col0 - Group By Operator [GBY_324] (rows=11550 width=100) + Group By Operator [GBY_320] (rows=11550 width=100) Output:["_col0"],keys:KEY._col0 <-Map 15 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_323] + SHUFFLE [RS_319] PartitionCols:_col0 - Group By Operator [GBY_322] (rows=11550 width=100) + Group By Operator [GBY_318] (rows=11550 width=100) Output:["_col0"],keys:i_item_id - Select Operator [SEL_321] (rows=23100 width=189) + Select Operator [SEL_317] (rows=23100 width=189) Output:["i_item_id"] - Filter Operator [FIL_320] (rows=23100 width=189) + Filter Operator [FIL_316] (rows=23100 width=189) predicate:(i_color) IN ('orchid', 'chiffon', 'lace') TableScan [TS_2] (rows=462000 width=189) default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_id","i_color"] @@ -240,231 +240,231 @@ Stage-0 PartitionCols:_col3 Select Operator [SEL_60] (rows=1550375 width=13) Output:["_col3","_col4"] - Merge Join Operator [MERGEJOIN_299] (rows=1550375 width=13) - Conds:RS_57._col1=RS_346._col0(Inner),Output:["_col2","_col3"] + Merge Join Operator [MERGEJOIN_295] (rows=1550375 width=13) + Conds:RS_57._col1=RS_342._col0(Inner),Output:["_col2","_col3"] <-Map 28 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_346] + PARTITION_ONLY_SHUFFLE [RS_342] PartitionCols:_col0 - Select Operator [SEL_343] (rows=8000000 width=4) + Select Operator [SEL_339] (rows=8000000 width=4) Output:["_col0"] - Filter Operator [FIL_342] (rows=8000000 width=112) + Filter Operator [FIL_338] (rows=8000000 width=112) predicate:(ca_gmt_offset = -8) TableScan [TS_15] (rows=40000000 width=112) default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_gmt_offset"] <-Reducer 22 [SIMPLE_EDGE] SHUFFLE [RS_57] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_298] (rows=7751872 width=98) - Conds:RS_379._col0=RS_330._col0(Inner),Output:["_col1","_col2","_col3"] + Merge Join Operator [MERGEJOIN_294] (rows=7751872 width=98) + Conds:RS_375._col0=RS_326._col0(Inner),Output:["_col1","_col2","_col3"] <-Map 20 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_330] + PARTITION_ONLY_SHUFFLE [RS_326] PartitionCols:_col0 - Select Operator [SEL_327] (rows=50 width=4) + Select Operator [SEL_323] (rows=50 width=4) Output:["_col0"] - Filter Operator [FIL_326] (rows=50 width=12) + Filter Operator [FIL_322] (rows=50 width=12) predicate:((d_moy = 1) and (d_year = 2000)) TableScan [TS_12] (rows=73049 width=12) default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year","d_moy"] <-Map 32 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_379] + SHUFFLE [RS_375] PartitionCols:_col0 - Select Operator [SEL_378] (rows=285117733 width=123) + Select Operator [SEL_374] (rows=285117733 width=123) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_377] (rows=285117733 width=123) + Filter Operator [FIL_373] (rows=285117733 width=123) predicate:((cs_bill_addr_sk BETWEEN DynamicValue(RS_58_customer_address_ca_address_sk_min) AND DynamicValue(RS_58_customer_address_ca_address_sk_max) and in_bloom_filter(cs_bill_addr_sk, DynamicValue(RS_58_customer_address_ca_address_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_64_item_i_item_sk_min) AND DynamicValue(RS_64_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_64_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_55_date_dim_d_date_sk_min) AND DynamicValue(RS_55_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_55_date_dim_d_date_sk_bloom_filter))) and cs_bill_addr_sk is not null and cs_sold_date_sk is not null) TableScan [TS_45] (rows=287989836 width=123) default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_addr_sk","cs_item_sk","cs_ext_sales_price"] <-Reducer 11 [BROADCAST_EDGE] vectorized - BROADCAST [RS_376] - Group By Operator [GBY_375] (rows=1 width=12) + BROADCAST [RS_372] + Group By Operator [GBY_371] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Reducer 2 [CUSTOM_SIMPLE_EDGE] - SHUFFLE [RS_239] - Group By Operator [GBY_238] (rows=1 width=12) + SHUFFLE [RS_237] + Group By Operator [GBY_236] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_237] (rows=17170 width=4) + Select Operator [SEL_235] (rows=17170 width=4) Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_294] + Please refer to the previous Merge Join Operator [MERGEJOIN_290] <-Reducer 24 [BROADCAST_EDGE] vectorized - BROADCAST [RS_372] - Group By Operator [GBY_371] (rows=1 width=12) + BROADCAST [RS_368] + Group By Operator [GBY_367] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_338] - Group By Operator [GBY_335] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_334] + Group By Operator [GBY_331] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_331] (rows=50 width=4) + Select Operator [SEL_327] (rows=50 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_327] + Please refer to the previous Select Operator [SEL_323] <-Reducer 30 [BROADCAST_EDGE] vectorized - BROADCAST [RS_374] - Group By Operator [GBY_373] (rows=1 width=12) + BROADCAST [RS_370] + Group By Operator [GBY_369] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"] <-Map 28 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_354] - Group By Operator [GBY_351] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_350] + Group By Operator [GBY_347] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"] - Select Operator [SEL_347] (rows=8000000 width=4) + Select Operator [SEL_343] (rows=8000000 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_343] + Please refer to the previous Select Operator [SEL_339] <-Reducer 13 [CONTAINS] vectorized - Reduce Output Operator [RS_394] + Reduce Output Operator [RS_390] PartitionCols:_col0 - Group By Operator [GBY_393] (rows=430 width=212) + Group By Operator [GBY_389] (rows=430 width=212) Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 - Group By Operator [GBY_392] (rows=430 width=212) + Group By Operator [GBY_388] (rows=430 width=212) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 <-Reducer 12 [SIMPLE_EDGE] SHUFFLE [RS_106] PartitionCols:_col0 Group By Operator [GBY_105] (rows=430 width=212) Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1 - Merge Join Operator [MERGEJOIN_305] (rows=189670 width=190) + Merge Join Operator [MERGEJOIN_301] (rows=189670 width=190) Conds:RS_101._col0=RS_102._col2(Inner),Output:["_col1","_col7"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_101] PartitionCols:_col0 - Please refer to the previous Merge Join Operator [MERGEJOIN_294] + Please refer to the previous Merge Join Operator [MERGEJOIN_290] <-Reducer 26 [SIMPLE_EDGE] SHUFFLE [RS_102] PartitionCols:_col2 Select Operator [SEL_97] (rows=788222 width=110) Output:["_col2","_col4"] - Merge Join Operator [MERGEJOIN_302] (rows=788222 width=110) - Conds:RS_94._col2=RS_348._col0(Inner),Output:["_col1","_col3"] + Merge Join Operator [MERGEJOIN_298] (rows=788222 width=110) + Conds:RS_94._col2=RS_344._col0(Inner),Output:["_col1","_col3"] <-Map 28 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_348] + PARTITION_ONLY_SHUFFLE [RS_344] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_343] + Please refer to the previous Select Operator [SEL_339] <-Reducer 25 [SIMPLE_EDGE] SHUFFLE [RS_94] PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_301] (rows=3941109 width=118) - Conds:RS_391._col0=RS_332._col0(Inner),Output:["_col1","_col2","_col3"] + Merge Join Operator [MERGEJOIN_297] (rows=3941109 width=118) + Conds:RS_387._col0=RS_328._col0(Inner),Output:["_col1","_col2","_col3"] <-Map 20 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_332] + PARTITION_ONLY_SHUFFLE [RS_328] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_327] + Please refer to the previous Select Operator [SEL_323] <-Map 33 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_391] + SHUFFLE [RS_387] PartitionCols:_col0 - Select Operator [SEL_390] (rows=143931246 width=123) + Select Operator [SEL_386] (rows=143931246 width=123) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_389] (rows=143931246 width=123) + Filter Operator [FIL_385] (rows=143931246 width=123) predicate:((ws_bill_addr_sk BETWEEN DynamicValue(RS_95_customer_address_ca_address_sk_min) AND DynamicValue(RS_95_customer_address_ca_address_sk_max) and in_bloom_filter(ws_bill_addr_sk, DynamicValue(RS_95_customer_address_ca_address_sk_bloom_filter))) and (ws_item_sk BETWEEN DynamicValue(RS_101_item_i_item_sk_min) AND DynamicValue(RS_101_item_i_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_101_item_i_item_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_92_date_dim_d_date_sk_min) AND DynamicValue(RS_92_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_92_date_dim_d_date_sk_bloom_filter))) and ws_bill_addr_sk is not null and ws_sold_date_sk is not null) TableScan [TS_82] (rows=144002668 width=123) default@web_sales,web_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_sold_date_sk","ws_item_sk","ws_bill_addr_sk","ws_ext_sales_price"] <-Reducer 14 [BROADCAST_EDGE] vectorized - BROADCAST [RS_388] - Group By Operator [GBY_387] (rows=1 width=12) + BROADCAST [RS_384] + Group By Operator [GBY_383] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Reducer 2 [CUSTOM_SIMPLE_EDGE] - SHUFFLE [RS_285] - Group By Operator [GBY_284] (rows=1 width=12) + SHUFFLE [RS_277] + Group By Operator [GBY_276] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_283] (rows=17170 width=4) + Select Operator [SEL_275] (rows=17170 width=4) Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_294] + Please refer to the previous Merge Join Operator [MERGEJOIN_290] <-Reducer 27 [BROADCAST_EDGE] vectorized - BROADCAST [RS_384] - Group By Operator [GBY_383] (rows=1 width=12) + BROADCAST [RS_380] + Group By Operator [GBY_379] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_339] - Group By Operator [GBY_336] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_335] + Group By Operator [GBY_332] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_333] (rows=50 width=4) + Select Operator [SEL_329] (rows=50 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_327] + Please refer to the previous Select Operator [SEL_323] <-Reducer 31 [BROADCAST_EDGE] vectorized - BROADCAST [RS_386] - Group By Operator [GBY_385] (rows=1 width=12) + BROADCAST [RS_382] + Group By Operator [GBY_381] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"] <-Map 28 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_355] - Group By Operator [GBY_352] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_351] + Group By Operator [GBY_348] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"] - Select Operator [SEL_349] (rows=8000000 width=4) + Select Operator [SEL_345] (rows=8000000 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_343] + Please refer to the previous Select Operator [SEL_339] <-Reducer 4 [CONTAINS] vectorized - Reduce Output Operator [RS_365] + Reduce Output Operator [RS_361] PartitionCols:_col0 - Group By Operator [GBY_364] (rows=430 width=212) + Group By Operator [GBY_360] (rows=430 width=212) Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 - Group By Operator [GBY_363] (rows=430 width=212) + Group By Operator [GBY_359] (rows=430 width=212) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_33] PartitionCols:_col0 Group By Operator [GBY_32] (rows=430 width=212) Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1 - Merge Join Operator [MERGEJOIN_303] (rows=692265 width=100) + Merge Join Operator [MERGEJOIN_299] (rows=692265 width=100) Conds:RS_28._col0=RS_29._col2(Inner),Output:["_col1","_col7"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_28] PartitionCols:_col0 - Please refer to the previous Merge Join Operator [MERGEJOIN_294] + Please refer to the previous Merge Join Operator [MERGEJOIN_290] <-Reducer 19 [SIMPLE_EDGE] SHUFFLE [RS_29] PartitionCols:_col2 Select Operator [SEL_24] (rows=2876890 width=4) Output:["_col2","_col4"] - Merge Join Operator [MERGEJOIN_296] (rows=2876890 width=4) - Conds:RS_21._col2=RS_344._col0(Inner),Output:["_col1","_col3"] + Merge Join Operator [MERGEJOIN_292] (rows=2876890 width=4) + Conds:RS_21._col2=RS_340._col0(Inner),Output:["_col1","_col3"] <-Map 28 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_344] + PARTITION_ONLY_SHUFFLE [RS_340] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_343] + Please refer to the previous Select Operator [SEL_339] <-Reducer 18 [SIMPLE_EDGE] SHUFFLE [RS_21] PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_295] (rows=14384447 width=4) - Conds:RS_362._col0=RS_328._col0(Inner),Output:["_col1","_col2","_col3"] + Merge Join Operator [MERGEJOIN_291] (rows=14384447 width=4) + Conds:RS_358._col0=RS_324._col0(Inner),Output:["_col1","_col2","_col3"] <-Map 20 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_328] + PARTITION_ONLY_SHUFFLE [RS_324] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_327] + Please refer to the previous Select Operator [SEL_323] <-Map 17 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_362] + SHUFFLE [RS_358] PartitionCols:_col0 - Select Operator [SEL_361] (rows=525327191 width=118) + Select Operator [SEL_357] (rows=525327191 width=118) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_360] (rows=525327191 width=118) + Filter Operator [FIL_356] (rows=525327191 width=118) predicate:((ss_addr_sk BETWEEN DynamicValue(RS_22_customer_address_ca_address_sk_min) AND DynamicValue(RS_22_customer_address_ca_address_sk_max) and in_bloom_filter(ss_addr_sk, DynamicValue(RS_22_customer_address_ca_address_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_28_item_i_item_sk_min) AND DynamicValue(RS_28_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_28_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_19_date_dim_d_date_sk_min) AND DynamicValue(RS_19_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_19_date_dim_d_date_sk_bloom_filter))) and ss_addr_sk is not null and ss_sold_date_sk is not null) TableScan [TS_9] (rows=575995635 width=118) default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_item_sk","ss_addr_sk","ss_ext_sales_price"] <-Reducer 21 [BROADCAST_EDGE] vectorized - BROADCAST [RS_341] - Group By Operator [GBY_340] (rows=1 width=12) + BROADCAST [RS_337] + Group By Operator [GBY_336] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_337] - Group By Operator [GBY_334] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_333] + Group By Operator [GBY_330] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_329] (rows=50 width=4) + Select Operator [SEL_325] (rows=50 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_327] + Please refer to the previous Select Operator [SEL_323] <-Reducer 29 [BROADCAST_EDGE] vectorized - BROADCAST [RS_357] - Group By Operator [GBY_356] (rows=1 width=12) + BROADCAST [RS_353] + Group By Operator [GBY_352] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"] <-Map 28 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_353] - Group By Operator [GBY_350] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_349] + Group By Operator [GBY_346] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"] - Select Operator [SEL_345] (rows=8000000 width=4) + Select Operator [SEL_341] (rows=8000000 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_343] + Please refer to the previous Select Operator [SEL_339] <-Reducer 8 [BROADCAST_EDGE] vectorized - BROADCAST [RS_359] - Group By Operator [GBY_358] (rows=1 width=12) + BROADCAST [RS_355] + Group By Operator [GBY_354] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Reducer 2 [CUSTOM_SIMPLE_EDGE] - SHUFFLE [RS_203] - Group By Operator [GBY_202] (rows=1 width=12) + SHUFFLE [RS_197] + Group By Operator [GBY_196] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_201] (rows=17170 width=4) + Select Operator [SEL_195] (rows=17170 width=4) Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_294] + Please refer to the previous Merge Join Operator [MERGEJOIN_290] http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/query6.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query6.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query6.q.out index 85c962f..74bec5c 100644 --- a/ql/src/test/results/clientpositive/perf/tez/constraints/query6.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query6.q.out @@ -1,4 +1,4 @@ -Warning: Map Join MAPJOIN[172][bigTable=?] in task 'Reducer 15' is a cross product +Warning: Map Join MAPJOIN[170][bigTable=?] in task 'Reducer 15' is a cross product PREHOOK: query: explain select a.ca_state state, count(*) cnt from customer_address a @@ -83,153 +83,153 @@ Stage-0 limit:100 Stage-1 Reducer 10 vectorized - File Output Operator [FS_234] - Limit [LIM_233] (rows=1 width=94) + File Output Operator [FS_232] + Limit [LIM_231] (rows=1 width=94) Number of rows:100 - Select Operator [SEL_232] (rows=1 width=94) + Select Operator [SEL_230] (rows=1 width=94) Output:["_col0","_col1"] <-Reducer 9 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_231] - Filter Operator [FIL_230] (rows=1 width=94) + SHUFFLE [RS_229] + Filter Operator [FIL_228] (rows=1 width=94) predicate:(_col1 >= 10L) - Group By Operator [GBY_229] (rows=1 width=94) + Group By Operator [GBY_227] (rows=1 width=94) Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0 <-Reducer 8 [SIMPLE_EDGE] SHUFFLE [RS_68] PartitionCols:_col0 Group By Operator [GBY_67] (rows=1 width=94) Output:["_col0","_col1"],aggregations:["count()"],keys:_col9 - Merge Join Operator [MERGEJOIN_175] (rows=316 width=86) - Conds:RS_63._col4=RS_214._col0(Inner),Output:["_col9"] + Merge Join Operator [MERGEJOIN_173] (rows=316 width=86) + Conds:RS_63._col4=RS_212._col0(Inner),Output:["_col9"] <-Map 16 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_214] + SHUFFLE [RS_212] PartitionCols:_col0 - Select Operator [SEL_213] (rows=154000 width=227) + Select Operator [SEL_211] (rows=154000 width=227) Output:["_col0"] - Filter Operator [FIL_212] (rows=154000 width=227) + Filter Operator [FIL_210] (rows=154000 width=227) predicate:(_col4 > _col1) - Map Join Operator [MAPJOIN_211] (rows=462000 width=227) - Conds:RS_208._col0=SEL_210._col2(Inner),HybridGraceHashJoin:true,Output:["_col1","_col3","_col4"] + Map Join Operator [MAPJOIN_209] (rows=462000 width=227) + Conds:RS_206._col0=SEL_208._col2(Inner),HybridGraceHashJoin:true,Output:["_col1","_col3","_col4"] <-Reducer 15 [BROADCAST_EDGE] vectorized - BROADCAST [RS_208] + BROADCAST [RS_206] PartitionCols:_col0 - Map Join Operator [MAPJOIN_207] (rows=10 width=202) + Map Join Operator [MAPJOIN_205] (rows=10 width=202) Conds:(Inner),Output:["_col0","_col1"] <-Reducer 5 [BROADCAST_EDGE] vectorized - BROADCAST [RS_204] - Select Operator [SEL_203] (rows=1 width=8) - Filter Operator [FIL_202] (rows=1 width=8) + BROADCAST [RS_202] + Select Operator [SEL_201] (rows=1 width=8) + Filter Operator [FIL_200] (rows=1 width=8) predicate:(sq_count_check(_col0) <= 1) - Group By Operator [GBY_201] (rows=1 width=8) + Group By Operator [GBY_199] (rows=1 width=8) Output:["_col0"],aggregations:["count(VALUE._col0)"] <-Reducer 4 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_200] - Group By Operator [GBY_199] (rows=1 width=8) + PARTITION_ONLY_SHUFFLE [RS_198] + Group By Operator [GBY_197] (rows=1 width=8) Output:["_col0"],aggregations:["count()"] - Select Operator [SEL_198] (rows=25 width=4) - Group By Operator [GBY_197] (rows=25 width=4) + Select Operator [SEL_196] (rows=25 width=4) + Group By Operator [GBY_195] (rows=25 width=4) Output:["_col0"],keys:KEY._col0 <-Map 2 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_187] + SHUFFLE [RS_185] PartitionCols:_col0 - Group By Operator [GBY_185] (rows=25 width=4) + Group By Operator [GBY_183] (rows=25 width=4) Output:["_col0"],keys:d_month_seq - Select Operator [SEL_183] (rows=50 width=12) + Select Operator [SEL_181] (rows=50 width=12) Output:["d_month_seq"] - Filter Operator [FIL_181] (rows=50 width=12) + Filter Operator [FIL_179] (rows=50 width=12) predicate:((d_moy = 2) and (d_year = 2000)) TableScan [TS_3] (rows=73049 width=12) default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_month_seq","d_year","d_moy"] - <-Select Operator [SEL_206] (rows=10 width=202) + <-Select Operator [SEL_204] (rows=10 width=202) Output:["_col0","_col1"] - Group By Operator [GBY_205] (rows=10 width=210) + Group By Operator [GBY_203] (rows=10 width=210) Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0 <-Map 14 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_196] + SHUFFLE [RS_194] PartitionCols:_col0 - Group By Operator [GBY_195] (rows=10 width=210) + Group By Operator [GBY_193] (rows=10 width=210) Output:["_col0","_col1","_col2"],aggregations:["sum(i_current_price)","count(i_current_price)"],keys:i_category - Filter Operator [FIL_194] (rows=462000 width=201) + Filter Operator [FIL_192] (rows=462000 width=201) predicate:i_category is not null TableScan [TS_22] (rows=462000 width=201) default@item,j,Tbl:COMPLETE,Col:COMPLETE,Output:["i_current_price","i_category"] - <-Select Operator [SEL_210] (rows=462000 width=205) + <-Select Operator [SEL_208] (rows=462000 width=205) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_209] (rows=462000 width=205) + Filter Operator [FIL_207] (rows=462000 width=205) predicate:i_category is not null TableScan [TS_43] (rows=462000 width=205) default@item,i,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_current_price","i_category"] <-Reducer 7 [SIMPLE_EDGE] SHUFFLE [RS_63] PartitionCols:_col4 - Merge Join Operator [MERGEJOIN_174] (rows=7192227 width=90) - Conds:RS_223._col5=RS_61._col0(Inner),Output:["_col4","_col9"] + Merge Join Operator [MERGEJOIN_172] (rows=7192227 width=90) + Conds:RS_221._col5=RS_61._col0(Inner),Output:["_col4","_col9"] <-Map 6 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_223] + SHUFFLE [RS_221] PartitionCols:_col5 - Map Join Operator [MAPJOIN_222] (rows=7192227 width=4) - Conds:RS_193._col0=SEL_221._col0(Inner),HybridGraceHashJoin:true,Output:["_col4","_col5"] + Map Join Operator [MAPJOIN_220] (rows=7192227 width=4) + Conds:RS_191._col0=SEL_219._col0(Inner),HybridGraceHashJoin:true,Output:["_col4","_col5"] <-Map 1 [BROADCAST_EDGE] vectorized - BROADCAST [RS_193] + BROADCAST [RS_191] PartitionCols:_col0 - Map Join Operator [MAPJOIN_192] (rows=660 width=4) - Conds:SEL_191._col1=RS_189._col0(Inner),HybridGraceHashJoin:true,Output:["_col0"] + Map Join Operator [MAPJOIN_190] (rows=660 width=4) + Conds:SEL_189._col1=RS_187._col0(Inner),HybridGraceHashJoin:true,Output:["_col0"] <-Reducer 3 [BROADCAST_EDGE] vectorized - BROADCAST [RS_189] + BROADCAST [RS_187] PartitionCols:_col0 - Group By Operator [GBY_188] (rows=25 width=4) + Group By Operator [GBY_186] (rows=25 width=4) Output:["_col0"],keys:KEY._col0 <-Map 2 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_186] + SHUFFLE [RS_184] PartitionCols:_col0 - Group By Operator [GBY_184] (rows=25 width=4) + Group By Operator [GBY_182] (rows=25 width=4) Output:["_col0"],keys:d_month_seq - Select Operator [SEL_182] (rows=50 width=12) + Select Operator [SEL_180] (rows=50 width=12) Output:["d_month_seq"] - Filter Operator [FIL_180] (rows=50 width=12) + Filter Operator [FIL_178] (rows=50 width=12) predicate:((d_moy = 2) and (d_year = 2000) and d_month_seq is not null) Please refer to the previous TableScan [TS_3] - <-Select Operator [SEL_191] (rows=73049 width=8) + <-Select Operator [SEL_189] (rows=73049 width=8) Output:["_col0","_col1"] - Filter Operator [FIL_190] (rows=73049 width=8) + Filter Operator [FIL_188] (rows=73049 width=8) predicate:d_month_seq is not null TableScan [TS_0] (rows=73049 width=8) default@date_dim,d,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_month_seq"] - <-Select Operator [SEL_221] (rows=525327388 width=11) + <-Select Operator [SEL_219] (rows=525327388 width=11) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_220] (rows=525327388 width=11) + Filter Operator [FIL_218] (rows=525327388 width=11) predicate:((ss_item_sk BETWEEN DynamicValue(RS_64_i_i_item_sk_min) AND DynamicValue(RS_64_i_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_64_i_i_item_sk_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null) TableScan [TS_10] (rows=575995635 width=11) default@store_sales,s,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk"] <-Reducer 17 [BROADCAST_EDGE] vectorized - BROADCAST [RS_219] - Group By Operator [GBY_218] (rows=1 width=12) + BROADCAST [RS_217] + Group By Operator [GBY_216] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 16 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_217] - Group By Operator [GBY_216] (rows=1 width=12) + SHUFFLE [RS_215] + Group By Operator [GBY_214] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_215] (rows=154000 width=4) + Select Operator [SEL_213] (rows=154000 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_213] + Please refer to the previous Select Operator [SEL_211] <-Reducer 12 [SIMPLE_EDGE] SHUFFLE [RS_61] PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_171] (rows=80000000 width=90) - Conds:RS_226._col1=RS_228._col0(Inner),Output:["_col0","_col3"] + Merge Join Operator [MERGEJOIN_169] (rows=80000000 width=90) + Conds:RS_224._col1=RS_226._col0(Inner),Output:["_col0","_col3"] <-Map 11 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_226] + SHUFFLE [RS_224] PartitionCols:_col1 - Select Operator [SEL_225] (rows=80000000 width=8) + Select Operator [SEL_223] (rows=80000000 width=8) Output:["_col0","_col1"] - Filter Operator [FIL_224] (rows=80000000 width=8) + Filter Operator [FIL_222] (rows=80000000 width=8) predicate:c_current_addr_sk is not null TableScan [TS_13] (rows=80000000 width=8) default@customer,c,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_current_addr_sk"] <-Map 13 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_228] + SHUFFLE [RS_226] PartitionCols:_col0 - Select Operator [SEL_227] (rows=40000000 width=90) + Select Operator [SEL_225] (rows=40000000 width=90) Output:["_col0","_col1"] TableScan [TS_16] (rows=40000000 width=90) default@customer_address,a,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_state"]
