http://git-wip-us.apache.org/repos/asf/hive/blob/ab9e954d/ql/src/test/results/clientpositive/perf/tez/query24.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query24.q.out b/ql/src/test/results/clientpositive/perf/tez/query24.q.out index 9fcec42..349d429 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query24.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query24.q.out @@ -1,4 +1,4 @@ -Warning: Shuffle Join MERGEJOIN[286][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 8' is a cross product +Warning: Shuffle Join MERGEJOIN[290][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 8' is a cross product PREHOOK: query: explain with ssales as (select c_last_name @@ -137,281 +137,281 @@ Stage-0 Output:["_col0","_col1","_col2","_col3"] Filter Operator [FIL_89] (rows=77303902 width=321) predicate:(_col3 > _col4) - Merge Join Operator [MERGEJOIN_286] (rows=231911707 width=321) + Merge Join Operator [MERGEJOIN_290] (rows=231911707 width=321) Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4"] <-Reducer 15 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_376] - Select Operator [SEL_375] (rows=1 width=232) + PARTITION_ONLY_SHUFFLE [RS_380] + Select Operator [SEL_379] (rows=1 width=232) Output:["_col0"] - Group By Operator [GBY_374] (rows=1 width=232) + Group By Operator [GBY_378] (rows=1 width=232) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"] <-Reducer 14 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_373] - Group By Operator [GBY_372] (rows=1 width=232) + PARTITION_ONLY_SHUFFLE [RS_377] + Group By Operator [GBY_376] (rows=1 width=232) Output:["_col0","_col1"],aggregations:["sum(_col10)","count(_col10)"] - Select Operator [SEL_371] (rows=463823414 width=88) + Select Operator [SEL_375] (rows=463823414 width=88) Output:["_col10"] - Group By Operator [GBY_370] (rows=463823414 width=88) + Group By Operator [GBY_374] (rows=463823414 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6, KEY._col7, KEY._col8, KEY._col9 <-Reducer 13 [SIMPLE_EDGE] SHUFFLE [RS_78] PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 Group By Operator [GBY_77] (rows=927646829 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(_col4)"],keys:_col11, _col12, _col6, _col8, _col15, _col16, _col17, _col18, _col19, _col22 - Merge Join Operator [MERGEJOIN_285] (rows=927646829 width=88) - Conds:RS_73._col9, _col13=RS_351._col1, upper(_col2)(Inner),Output:["_col4","_col6","_col8","_col11","_col12","_col15","_col16","_col17","_col18","_col19","_col22"] + Merge Join Operator [MERGEJOIN_289] (rows=927646829 width=88) + Conds:RS_73._col9, _col13=RS_355._col1, upper(_col2)(Inner),Output:["_col4","_col6","_col8","_col11","_col12","_col15","_col16","_col17","_col18","_col19","_col22"] <-Map 30 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_351] + SHUFFLE [RS_355] PartitionCols:_col1, upper(_col2) - Select Operator [SEL_349] (rows=40000000 width=1014) + Select Operator [SEL_353] (rows=40000000 width=1014) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_348] (rows=40000000 width=1014) + Filter Operator [FIL_352] (rows=40000000 width=1014) predicate:(ca_zip is not null and upper(ca_country) is not null) TableScan [TS_15] (rows=40000000 width=1014) default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_state","ca_zip","ca_country"] <-Reducer 12 [SIMPLE_EDGE] SHUFFLE [RS_73] PartitionCols:_col9, _col13 - Merge Join Operator [MERGEJOIN_284] (rows=843315281 width=88) - Conds:RS_70._col0, _col3=RS_330._col0, _col1(Inner),Output:["_col4","_col6","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17","_col18","_col19"] + Merge Join Operator [MERGEJOIN_288] (rows=843315281 width=88) + Conds:RS_70._col0, _col3=RS_334._col0, _col1(Inner),Output:["_col4","_col6","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17","_col18","_col19"] <-Map 25 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_330] + SHUFFLE [RS_334] PartitionCols:_col0, _col1 - Select Operator [SEL_326] (rows=57591150 width=77) + Select Operator [SEL_330] (rows=57591150 width=77) Output:["_col0","_col1"] - Filter Operator [FIL_325] (rows=57591150 width=77) + Filter Operator [FIL_329] (rows=57591150 width=77) predicate:(sr_item_sk is not null and sr_ticket_number is not null) TableScan [TS_12] (rows=57591150 width=77) default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_item_sk","sr_ticket_number"] <-Reducer 11 [SIMPLE_EDGE] SHUFFLE [RS_70] PartitionCols:_col0, _col3 - Merge Join Operator [MERGEJOIN_283] (rows=766650239 width=88) - Conds:RS_67._col0=RS_293._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17","_col18","_col19"] + Merge Join Operator [MERGEJOIN_287] (rows=766650239 width=88) + Conds:RS_67._col0=RS_297._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17","_col18","_col19"] <-Map 9 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_293] + SHUFFLE [RS_297] PartitionCols:_col0 - Select Operator [SEL_290] (rows=462000 width=1436) + Select Operator [SEL_294] (rows=462000 width=1436) Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_288] (rows=462000 width=1436) + Filter Operator [FIL_292] (rows=462000 width=1436) predicate:i_item_sk is not null TableScan [TS_3] (rows=462000 width=1436) default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_current_price","i_size","i_color","i_units","i_manager_id"] <-Reducer 20 [SIMPLE_EDGE] SHUFFLE [RS_67] PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_282] (rows=696954748 width=88) - Conds:RS_64._col1=RS_317._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col8","_col9","_col11","_col12","_col13"] + Merge Join Operator [MERGEJOIN_286] (rows=696954748 width=88) + Conds:RS_64._col1=RS_321._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col8","_col9","_col11","_col12","_col13"] <-Map 22 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_317] + SHUFFLE [RS_321] PartitionCols:_col0 - Select Operator [SEL_314] (rows=80000000 width=860) + Select Operator [SEL_318] (rows=80000000 width=860) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_313] (rows=80000000 width=860) + Filter Operator [FIL_317] (rows=80000000 width=860) predicate:(c_birth_country is not null and c_customer_sk is not null) TableScan [TS_9] (rows=80000000 width=860) default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_first_name","c_last_name","c_birth_country"] <-Reducer 19 [SIMPLE_EDGE] SHUFFLE [RS_64] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_281] (rows=633595212 width=88) - Conds:RS_369._col2=RS_305._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col8","_col9"] + Merge Join Operator [MERGEJOIN_285] (rows=633595212 width=88) + Conds:RS_373._col2=RS_309._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col8","_col9"] <-Map 17 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_305] + SHUFFLE [RS_309] PartitionCols:_col0 - Select Operator [SEL_302] (rows=852 width=1910) + Select Operator [SEL_306] (rows=852 width=1910) Output:["_col0","_col1","_col3","_col4"] - Filter Operator [FIL_301] (rows=852 width=1910) + Filter Operator [FIL_305] (rows=852 width=1910) predicate:((s_market_id = 7) and s_store_sk is not null and s_zip is not null) TableScan [TS_6] (rows=1704 width=1910) default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_name","s_market_id","s_state","s_zip"] <-Map 31 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_369] + SHUFFLE [RS_373] PartitionCols:_col2 - Select Operator [SEL_368] (rows=575995635 width=88) + Select Operator [SEL_372] (rows=575995635 width=88) Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_367] (rows=575995635 width=88) + Filter Operator [FIL_371] (rows=575995635 width=88) predicate:((ss_customer_sk BETWEEN DynamicValue(RS_65_customer_c_customer_sk_min) AND DynamicValue(RS_65_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_65_customer_c_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_68_item_i_item_sk_min) AND DynamicValue(RS_68_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_68_item_i_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_71_store_returns_sr_item_sk_min) AND DynamicValue(RS_71_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_71_store_returns_sr_item_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_62_store_s_store_sk_min) AND DynamicValue(RS_62_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_62_store_s_store_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_71_store_returns_sr_ticket_number_min) AND DynamicValue(RS_71_stor e_returns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_71_store_returns_sr_ticket_number_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) TableScan [TS_43] (rows=575995635 width=88) default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"] <-Reducer 16 [BROADCAST_EDGE] vectorized - BROADCAST [RS_362] - Group By Operator [GBY_361] (rows=1 width=12) + BROADCAST [RS_366] + Group By Operator [GBY_365] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 9 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_298] - Group By Operator [GBY_296] (rows=1 width=12) + SHUFFLE [RS_302] + Group By Operator [GBY_300] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_294] (rows=462000 width=1436) + Select Operator [SEL_298] (rows=462000 width=1436) Output:["_col0"] - Please refer to the previous Select Operator [SEL_290] + Please refer to the previous Select Operator [SEL_294] <-Reducer 21 [BROADCAST_EDGE] vectorized - BROADCAST [RS_358] - Group By Operator [GBY_357] (rows=1 width=12) + BROADCAST [RS_362] + Group By Operator [GBY_361] (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 - SHUFFLE [RS_310] - Group By Operator [GBY_308] (rows=1 width=12) + SHUFFLE [RS_314] + Group By Operator [GBY_312] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_306] (rows=852 width=1910) + Select Operator [SEL_310] (rows=852 width=1910) Output:["_col0"] - Please refer to the previous Select Operator [SEL_302] + Please refer to the previous Select Operator [SEL_306] <-Reducer 24 [BROADCAST_EDGE] vectorized - BROADCAST [RS_360] - Group By Operator [GBY_359] (rows=1 width=12) + BROADCAST [RS_364] + Group By Operator [GBY_363] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=80000000)"] <-Map 22 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_322] - Group By Operator [GBY_320] (rows=1 width=12) + SHUFFLE [RS_326] + Group By Operator [GBY_324] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=80000000)"] - Select Operator [SEL_318] (rows=80000000 width=860) + Select Operator [SEL_322] (rows=80000000 width=860) Output:["_col0"] - Please refer to the previous Select Operator [SEL_314] + Please refer to the previous Select Operator [SEL_318] <-Reducer 28 [BROADCAST_EDGE] vectorized - BROADCAST [RS_364] - Group By Operator [GBY_363] (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=57591152)"] <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_339] - Group By Operator [GBY_335] (rows=1 width=12) + SHUFFLE [RS_343] + Group By Operator [GBY_339] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"] - Select Operator [SEL_331] (rows=57591150 width=77) + Select Operator [SEL_335] (rows=57591150 width=77) Output:["_col0"] - Please refer to the previous Select Operator [SEL_326] + Please refer to the previous Select Operator [SEL_330] <-Reducer 29 [BROADCAST_EDGE] vectorized - BROADCAST [RS_366] - Group By Operator [GBY_365] (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=57591152)"] <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_340] - Group By Operator [GBY_336] (rows=1 width=12) + SHUFFLE [RS_344] + Group By Operator [GBY_340] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"] - Select Operator [SEL_332] (rows=57591150 width=77) + Select Operator [SEL_336] (rows=57591150 width=77) Output:["_col0"] - Please refer to the previous Select Operator [SEL_326] + Please refer to the previous Select Operator [SEL_330] <-Reducer 7 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_356] - Select Operator [SEL_355] (rows=231911707 width=88) + PARTITION_ONLY_SHUFFLE [RS_360] + Select Operator [SEL_359] (rows=231911707 width=88) Output:["_col0","_col1","_col2","_col3"] - Group By Operator [GBY_354] (rows=231911707 width=88) + Group By Operator [GBY_358] (rows=231911707 width=88) Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col9)"],keys:_col1, _col2, _col7 - Select Operator [SEL_353] (rows=463823414 width=88) + Select Operator [SEL_357] (rows=463823414 width=88) Output:["_col1","_col2","_col7","_col9"] - Group By Operator [GBY_352] (rows=463823414 width=88) + Group By Operator [GBY_356] (rows=463823414 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6, KEY._col7, KEY._col8 <-Reducer 6 [SIMPLE_EDGE] SHUFFLE [RS_35] PartitionCols:_col0, _col1, _col2 Group By Operator [GBY_34] (rows=927646829 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(_col4)"],keys:_col17, _col18, _col12, _col22, _col6, _col7, _col9, _col10, _col14 - Merge Join Operator [MERGEJOIN_280] (rows=927646829 width=88) - Conds:RS_30._col15, _col19=RS_350._col1, upper(_col2)(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col17","_col18","_col22"] + Merge Join Operator [MERGEJOIN_284] (rows=927646829 width=88) + Conds:RS_30._col15, _col19=RS_354._col1, upper(_col2)(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col17","_col18","_col22"] <-Map 30 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_350] + SHUFFLE [RS_354] PartitionCols:_col1, upper(_col2) - Please refer to the previous Select Operator [SEL_349] + Please refer to the previous Select Operator [SEL_353] <-Reducer 5 [SIMPLE_EDGE] SHUFFLE [RS_30] PartitionCols:_col15, _col19 - Merge Join Operator [MERGEJOIN_279] (rows=843315281 width=88) - Conds:RS_27._col0, _col3=RS_327._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15","_col17","_col18","_col19"] + Merge Join Operator [MERGEJOIN_283] (rows=843315281 width=88) + Conds:RS_27._col0, _col3=RS_331._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15","_col17","_col18","_col19"] <-Map 25 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_327] + SHUFFLE [RS_331] PartitionCols:_col0, _col1 - Please refer to the previous Select Operator [SEL_326] + Please refer to the previous Select Operator [SEL_330] <-Reducer 4 [SIMPLE_EDGE] SHUFFLE [RS_27] PartitionCols:_col0, _col3 - Merge Join Operator [MERGEJOIN_278] (rows=766650239 width=88) - Conds:RS_24._col1=RS_315._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15","_col17","_col18","_col19"] + Merge Join Operator [MERGEJOIN_282] (rows=766650239 width=88) + Conds:RS_24._col1=RS_319._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15","_col17","_col18","_col19"] <-Map 22 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_315] + SHUFFLE [RS_319] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_314] + Please refer to the previous Select Operator [SEL_318] <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_24] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_277] (rows=696954748 width=88) - Conds:RS_21._col2=RS_303._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15"] + Merge Join Operator [MERGEJOIN_281] (rows=696954748 width=88) + Conds:RS_21._col2=RS_307._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15"] <-Map 17 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_303] + SHUFFLE [RS_307] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_302] + Please refer to the previous Select Operator [SEL_306] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_21] PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_276] (rows=633595212 width=88) - Conds:RS_347._col0=RS_291._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col9","_col10"] + Merge Join Operator [MERGEJOIN_280] (rows=633595212 width=88) + Conds:RS_351._col0=RS_295._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col9","_col10"] <-Map 9 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_291] + SHUFFLE [RS_295] PartitionCols:_col0 - Select Operator [SEL_289] (rows=231000 width=1436) + Select Operator [SEL_293] (rows=231000 width=1436) Output:["_col0","_col1","_col2","_col4","_col5"] - Filter Operator [FIL_287] (rows=231000 width=1436) + Filter Operator [FIL_291] (rows=231000 width=1436) predicate:((i_color = 'orchid') and i_item_sk is not null) Please refer to the previous TableScan [TS_3] <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_347] + SHUFFLE [RS_351] PartitionCols:_col0 - Select Operator [SEL_346] (rows=575995635 width=88) + Select Operator [SEL_350] (rows=575995635 width=88) Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_345] (rows=575995635 width=88) + Filter Operator [FIL_349] (rows=575995635 width=88) predicate:((ss_customer_sk BETWEEN DynamicValue(RS_25_customer_c_customer_sk_min) AND DynamicValue(RS_25_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_25_customer_c_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_19_item_i_item_sk_min) AND DynamicValue(RS_19_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_19_item_i_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_28_store_returns_sr_item_sk_min) AND DynamicValue(RS_28_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_28_store_returns_sr_item_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_22_store_s_store_sk_min) AND DynamicValue(RS_22_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_22_store_s_store_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_28_store_returns_sr_ticket_number_min) AND DynamicValue(RS_28_store_re turns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_28_store_returns_sr_ticket_number_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) TableScan [TS_0] (rows=575995635 width=88) default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"] <-Reducer 10 [BROADCAST_EDGE] vectorized - BROADCAST [RS_300] - Group By Operator [GBY_299] (rows=1 width=12) + BROADCAST [RS_304] + Group By Operator [GBY_303] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 9 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_297] - Group By Operator [GBY_295] (rows=1 width=12) + SHUFFLE [RS_301] + Group By Operator [GBY_299] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_292] (rows=231000 width=1436) + Select Operator [SEL_296] (rows=231000 width=1436) Output:["_col0"] - Please refer to the previous Select Operator [SEL_289] + Please refer to the previous Select Operator [SEL_293] <-Reducer 18 [BROADCAST_EDGE] vectorized - BROADCAST [RS_312] - Group By Operator [GBY_311] (rows=1 width=12) + BROADCAST [RS_316] + Group By Operator [GBY_315] (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 - SHUFFLE [RS_309] - Group By Operator [GBY_307] (rows=1 width=12) + SHUFFLE [RS_313] + Group By Operator [GBY_311] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_304] (rows=852 width=1910) + Select Operator [SEL_308] (rows=852 width=1910) Output:["_col0"] - Please refer to the previous Select Operator [SEL_302] + Please refer to the previous Select Operator [SEL_306] <-Reducer 23 [BROADCAST_EDGE] vectorized - BROADCAST [RS_324] - Group By Operator [GBY_323] (rows=1 width=12) + BROADCAST [RS_328] + Group By Operator [GBY_327] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=80000000)"] <-Map 22 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_321] - Group By Operator [GBY_319] (rows=1 width=12) + SHUFFLE [RS_325] + Group By Operator [GBY_323] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=80000000)"] - Select Operator [SEL_316] (rows=80000000 width=860) + Select Operator [SEL_320] (rows=80000000 width=860) Output:["_col0"] - Please refer to the previous Select Operator [SEL_314] + Please refer to the previous Select Operator [SEL_318] <-Reducer 26 [BROADCAST_EDGE] vectorized - BROADCAST [RS_342] - Group By Operator [GBY_341] (rows=1 width=12) + BROADCAST [RS_346] + Group By Operator [GBY_345] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"] <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_337] - Group By Operator [GBY_333] (rows=1 width=12) + SHUFFLE [RS_341] + Group By Operator [GBY_337] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"] - Select Operator [SEL_328] (rows=57591150 width=77) + Select Operator [SEL_332] (rows=57591150 width=77) Output:["_col0"] - Please refer to the previous Select Operator [SEL_326] + Please refer to the previous Select Operator [SEL_330] <-Reducer 27 [BROADCAST_EDGE] vectorized - BROADCAST [RS_344] - Group By Operator [GBY_343] (rows=1 width=12) + BROADCAST [RS_348] + Group By Operator [GBY_347] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"] <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_338] - Group By Operator [GBY_334] (rows=1 width=12) + SHUFFLE [RS_342] + Group By Operator [GBY_338] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"] - Select Operator [SEL_329] (rows=57591150 width=77) + Select Operator [SEL_333] (rows=57591150 width=77) Output:["_col0"] - Please refer to the previous Select Operator [SEL_326] + Please refer to the previous Select Operator [SEL_330]
http://git-wip-us.apache.org/repos/asf/hive/blob/ab9e954d/ql/src/test/results/clientpositive/perf/tez/query25.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query25.q.out b/ql/src/test/results/clientpositive/perf/tez/query25.q.out index a885cf3..77a9a07 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query25.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query25.q.out @@ -95,7 +95,7 @@ POSTHOOK: type: QUERY Plan optimized by CBO. Vertex dependency in root stage -Map 1 <- Reducer 19 (BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE) +Map 1 <- Reducer 14 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 19 (BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE) Map 16 <- Reducer 12 (BROADCAST_EDGE), Reducer 14 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 19 (BROADCAST_EDGE) Reducer 10 <- Map 16 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) Reducer 11 <- Reducer 10 (SIMPLE_EDGE), Reducer 13 (SIMPLE_EDGE) @@ -118,189 +118,195 @@ Stage-0 limit:100 Stage-1 Reducer 7 vectorized - File Output Operator [FS_259] - Limit [LIM_258] (rows=100 width=88) + File Output Operator [FS_269] + Limit [LIM_268] (rows=100 width=88) Number of rows:100 - Select Operator [SEL_257] (rows=421657640 width=88) + Select Operator [SEL_267] (rows=421657640 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] <-Reducer 6 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_256] - Group By Operator [GBY_255] (rows=421657640 width=88) + SHUFFLE [RS_266] + Group By Operator [GBY_265] (rows=421657640 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3 <-Reducer 5 [SIMPLE_EDGE] SHUFFLE [RS_49] PartitionCols:_col0, _col1, _col2, _col3 Group By Operator [GBY_48] (rows=843315281 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col20)","sum(_col12)"],keys:_col25, _col26, _col28, _col29 - Merge Join Operator [MERGEJOIN_205] (rows=843315281 width=88) - Conds:RS_44._col3=RS_234._col0(Inner),Output:["_col5","_col12","_col20","_col25","_col26","_col28","_col29"] + Merge Join Operator [MERGEJOIN_213] (rows=843315281 width=88) + Conds:RS_44._col3=RS_251._col0(Inner),Output:["_col5","_col12","_col20","_col25","_col26","_col28","_col29"] <-Map 20 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_234] + SHUFFLE [RS_251] PartitionCols:_col0 - Select Operator [SEL_233] (rows=1704 width=1910) + Select Operator [SEL_250] (rows=1704 width=1910) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_232] (rows=1704 width=1910) + Filter Operator [FIL_249] (rows=1704 width=1910) predicate:s_store_sk is not null TableScan [TS_32] (rows=1704 width=1910) default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name"] <-Reducer 4 [SIMPLE_EDGE] SHUFFLE [RS_44] PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_204] (rows=766650239 width=88) - Conds:RS_41._col1=RS_225._col0(Inner),Output:["_col3","_col5","_col12","_col20","_col25","_col26"] + Merge Join Operator [MERGEJOIN_212] (rows=766650239 width=88) + Conds:RS_41._col1=RS_242._col0(Inner),Output:["_col3","_col5","_col12","_col20","_col25","_col26"] <-Map 18 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_225] + SHUFFLE [RS_242] PartitionCols:_col0 - Select Operator [SEL_224] (rows=462000 width=1436) + Select Operator [SEL_241] (rows=462000 width=1436) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_223] (rows=462000 width=1436) + Filter Operator [FIL_240] (rows=462000 width=1436) predicate:i_item_sk is not null TableScan [TS_29] (rows=462000 width=1436) default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"] <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_41] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_203] (rows=696954748 width=88) + Merge Join Operator [MERGEJOIN_211] (rows=696954748 width=88) Conds:RS_38._col1, _col2, _col4=RS_39._col8, _col9, _col10(Inner),Output:["_col1","_col3","_col5","_col12","_col20"] <-Reducer 11 [SIMPLE_EDGE] SHUFFLE [RS_39] PartitionCols:_col8, _col9, _col10 - Merge Join Operator [MERGEJOIN_202] (rows=348467716 width=135) + Merge Join Operator [MERGEJOIN_210] (rows=348467716 width=135) Conds:RS_25._col2, _col1=RS_26._col1, _col2(Inner),Output:["_col3","_col8","_col9","_col10","_col11"] <-Reducer 13 [SIMPLE_EDGE] PARTITION_ONLY_SHUFFLE [RS_26] PartitionCols:_col1, _col2 - Merge Join Operator [MERGEJOIN_201] (rows=63350266 width=77) - Conds:RS_247._col0=RS_216._col0(Inner),Output:["_col1","_col2","_col3","_col4"] + Merge Join Operator [MERGEJOIN_209] (rows=63350266 width=77) + Conds:RS_233._col0=RS_224._col0(Inner),Output:["_col1","_col2","_col3","_col4"] <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_216] + PARTITION_ONLY_SHUFFLE [RS_224] PartitionCols:_col0 - Select Operator [SEL_211] (rows=4058 width=1119) + Select Operator [SEL_219] (rows=4058 width=1119) Output:["_col0"] - Filter Operator [FIL_208] (rows=4058 width=1119) + Filter Operator [FIL_216] (rows=4058 width=1119) predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10) TableScan [TS_3] (rows=73049 width=1119) default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] <-Map 17 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_247] + SHUFFLE [RS_233] PartitionCols:_col0 - Select Operator [SEL_246] (rows=57591150 width=77) + Select Operator [SEL_232] (rows=57591150 width=77) Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_245] (rows=57591150 width=77) + Filter Operator [FIL_231] (rows=57591150 width=77) predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null) TableScan [TS_12] (rows=57591150 width=77) default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_net_loss"] <-Reducer 10 [SIMPLE_EDGE] SHUFFLE [RS_25] PartitionCols:_col2, _col1 - Merge Join Operator [MERGEJOIN_200] (rows=316788826 width=135) - Conds:RS_254._col0=RS_214._col0(Inner),Output:["_col1","_col2","_col3"] + Merge Join Operator [MERGEJOIN_208] (rows=316788826 width=135) + Conds:RS_264._col0=RS_222._col0(Inner),Output:["_col1","_col2","_col3"] <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_214] + PARTITION_ONLY_SHUFFLE [RS_222] PartitionCols:_col0 - Select Operator [SEL_210] (rows=4058 width=1119) + Select Operator [SEL_218] (rows=4058 width=1119) Output:["_col0"] - Filter Operator [FIL_207] (rows=4058 width=1119) + Filter Operator [FIL_215] (rows=4058 width=1119) predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10) Please refer to the previous TableScan [TS_3] <-Map 16 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_254] + SHUFFLE [RS_264] PartitionCols:_col0 - Select Operator [SEL_253] (rows=287989836 width=135) + Select Operator [SEL_263] (rows=287989836 width=135) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_252] (rows=287989836 width=135) + Filter Operator [FIL_262] (rows=287989836 width=135) predicate:((cs_bill_customer_sk BETWEEN DynamicValue(RS_26_store_returns_sr_customer_sk_min) AND DynamicValue(RS_26_store_returns_sr_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_26_store_returns_sr_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_26_store_returns_sr_item_sk_min) AND DynamicValue(RS_26_store_returns_sr_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_26_store_returns_sr_item_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_23_d3_d_date_sk_min) AND DynamicValue(RS_23_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_23_d3_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) TableScan [TS_6] (rows=287989836 width=135) default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_net_profit"] - <-Reducer 19 [BROADCAST_EDGE] vectorized - BROADCAST [RS_231] - Group By Operator [GBY_229] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 18 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_228] - Group By Operator [GBY_227] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_226] (rows=462000 width=1436) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_224] - <-Reducer 12 [BROADCAST_EDGE] vectorized - BROADCAST [RS_244] - Group By Operator [GBY_243] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_220] - Group By Operator [GBY_218] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_215] (rows=4058 width=1119) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_210] <-Reducer 14 [BROADCAST_EDGE] vectorized - BROADCAST [RS_249] - Group By Operator [GBY_248] (rows=1 width=12) + BROADCAST [RS_236] + Group By Operator [GBY_234] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] <-Reducer 13 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_137] - Group By Operator [GBY_136] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_107] + Group By Operator [GBY_106] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] - Select Operator [SEL_135] (rows=63350266 width=77) + Select Operator [SEL_105] (rows=63350266 width=77) Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_201] + Please refer to the previous Merge Join Operator [MERGEJOIN_209] <-Reducer 15 [BROADCAST_EDGE] vectorized - BROADCAST [RS_251] - Group By Operator [GBY_250] (rows=1 width=12) + BROADCAST [RS_239] + Group By Operator [GBY_237] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] <-Reducer 13 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_142] - Group By Operator [GBY_141] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_122] + Group By Operator [GBY_121] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] - Select Operator [SEL_140] (rows=63350266 width=77) + Select Operator [SEL_120] (rows=63350266 width=77) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_209] + <-Reducer 19 [BROADCAST_EDGE] vectorized + BROADCAST [RS_248] + Group By Operator [GBY_246] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 18 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_245] + Group By Operator [GBY_244] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_243] (rows=462000 width=1436) Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_201] + Please refer to the previous Select Operator [SEL_241] + <-Reducer 12 [BROADCAST_EDGE] vectorized + BROADCAST [RS_261] + Group By Operator [GBY_260] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_228] + Group By Operator [GBY_226] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_223] (rows=4058 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_218] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_38] PartitionCols:_col1, _col2, _col4 - Merge Join Operator [MERGEJOIN_199] (rows=633595212 width=88) - Conds:RS_242._col0=RS_212._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_207] (rows=633595212 width=88) + Conds:RS_259._col0=RS_220._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_212] + PARTITION_ONLY_SHUFFLE [RS_220] PartitionCols:_col0 - Select Operator [SEL_209] (rows=18262 width=1119) + Select Operator [SEL_217] (rows=18262 width=1119) Output:["_col0"] - Filter Operator [FIL_206] (rows=18262 width=1119) + Filter Operator [FIL_214] (rows=18262 width=1119) predicate:((d_moy = 4) and (d_year = 2000) and d_date_sk is not null) Please refer to the previous TableScan [TS_3] <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_242] + SHUFFLE [RS_259] PartitionCols:_col0 - Select Operator [SEL_241] (rows=575995635 width=88) + Select Operator [SEL_258] (rows=575995635 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_240] (rows=575995635 width=88) - predicate:((ss_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_36_d1_d_date_sk_min) AND DynamicValue(RS_36_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_36_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_45_store_s_store_sk_min) AND DynamicValue(RS_45_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_45_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) + Filter Operator [FIL_257] (rows=575995635 width=88) + predicate:((ss_customer_sk BETWEEN DynamicValue(RS_26_store_returns_sr_customer_sk_min) AND DynamicValue(RS_26_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_26_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_26_store_returns_sr_item_sk_min) AND DynamicValue(RS_26_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_26_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_36_d1_d_date_sk_min) AND DynamicValue(RS_36_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_36_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_45_store_s_store_sk_min) AND DynamicValue(RS_45_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_45_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) TableScan [TS_0] (rows=575995635 width=88) default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_net_profit"] + <-Reducer 14 [BROADCAST_EDGE] vectorized + BROADCAST [RS_235] + Please refer to the previous Group By Operator [GBY_234] + <-Reducer 15 [BROADCAST_EDGE] vectorized + BROADCAST [RS_238] + Please refer to the previous Group By Operator [GBY_237] <-Reducer 19 [BROADCAST_EDGE] vectorized - BROADCAST [RS_230] - Please refer to the previous Group By Operator [GBY_229] + BROADCAST [RS_247] + Please refer to the previous Group By Operator [GBY_246] <-Reducer 21 [BROADCAST_EDGE] vectorized - BROADCAST [RS_239] - Group By Operator [GBY_238] (rows=1 width=12) + BROADCAST [RS_256] + Group By Operator [GBY_255] (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 - SHUFFLE [RS_237] - Group By Operator [GBY_236] (rows=1 width=12) + SHUFFLE [RS_254] + Group By Operator [GBY_253] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_235] (rows=1704 width=1910) + Select Operator [SEL_252] (rows=1704 width=1910) Output:["_col0"] - Please refer to the previous Select Operator [SEL_233] + Please refer to the previous Select Operator [SEL_250] <-Reducer 9 [BROADCAST_EDGE] vectorized - BROADCAST [RS_222] - Group By Operator [GBY_221] (rows=1 width=12) + BROADCAST [RS_230] + Group By Operator [GBY_229] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_219] - Group By Operator [GBY_217] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_227] + Group By Operator [GBY_225] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_213] (rows=18262 width=1119) + Select Operator [SEL_221] (rows=18262 width=1119) Output:["_col0"] - Please refer to the previous Select Operator [SEL_209] + Please refer to the previous Select Operator [SEL_217]
