http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out index ff4c05f..b7f9778 100644 --- a/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out @@ -99,56 +99,56 @@ Stage-0 limit:100 Stage-1 Reducer 6 vectorized - File Output Operator [FS_179] - Limit [LIM_178] (rows=100 width=1165) + File Output Operator [FS_177] + Limit [LIM_176] (rows=100 width=1165) Number of rows:100 - Select Operator [SEL_177] (rows=10969055 width=1165) + Select Operator [SEL_175] (rows=10969055 width=1165) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"] <-Reducer 5 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_176] - Select Operator [SEL_175] (rows=10969055 width=1165) + SHUFFLE [RS_174] + Select Operator [SEL_173] (rows=10969055 width=1165) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"] - Group By Operator [GBY_174] (rows=10969055 width=1229) + Group By Operator [GBY_172] (rows=10969055 width=1229) Output:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","sum(VALUE._col2)","count(VALUE._col3)","sum(VALUE._col4)","count(VALUE._col5)","sum(VALUE._col6)","count(VALUE._col7)","sum(VALUE._col8)","count(VALUE._col9)","sum(VALUE._col10)","count(VALUE._col11)","sum(VALUE._col12)","count(VALUE._col13)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4 <-Reducer 4 [SIMPLE_EDGE] SHUFFLE [RS_40] PartitionCols:_col0, _col1, _col2, _col3, _col4 Group By Operator [GBY_39] (rows=10969055 width=1229) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"],aggregations:["sum(_col15)","count(_col15)","sum(_col16)","count(_col16)","sum(_col17)","count(_col17)","sum(_col18)","count(_col18)","sum(_col19)","count(_col19)","sum(_col3)","count(_col3)","sum(_col22)","count(_col22)"],keys:_col5, _col6, _col7, _col10, 0L - Merge Join Operator [MERGEJOIN_142] (rows=2193811 width=811) + Merge Join Operator [MERGEJOIN_140] (rows=2193811 width=811) Conds:RS_35._col0=RS_36._col3(Inner),Output:["_col3","_col5","_col6","_col7","_col10","_col15","_col16","_col17","_col18","_col19","_col22"] <-Reducer 3 [SIMPLE_EDGE] PARTITION_ONLY_SHUFFLE [RS_35] PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_138] (rows=4959744 width=368) - Conds:RS_32._col1=RS_150._col0(Inner),Output:["_col0","_col3","_col5","_col6","_col7"] + Merge Join Operator [MERGEJOIN_136] (rows=4959744 width=368) + Conds:RS_32._col1=RS_148._col0(Inner),Output:["_col0","_col3","_col5","_col6","_col7"] <-Map 9 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_150] + SHUFFLE [RS_148] PartitionCols:_col0 - Select Operator [SEL_149] (rows=1861800 width=4) + Select Operator [SEL_147] (rows=1861800 width=4) Output:["_col0"] TableScan [TS_6] (rows=1861800 width=4) default@customer_demographics,cd2,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_32] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_137] (rows=4890586 width=371) - Conds:RS_145._col2=RS_148._col0(Inner),Output:["_col0","_col1","_col3","_col5","_col6","_col7"] + Merge Join Operator [MERGEJOIN_135] (rows=4890586 width=371) + Conds:RS_143._col2=RS_146._col0(Inner),Output:["_col0","_col1","_col3","_col5","_col6","_col7"] <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_145] + SHUFFLE [RS_143] PartitionCols:_col2 - Select Operator [SEL_144] (rows=35631408 width=119) + Select Operator [SEL_142] (rows=35631408 width=119) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_143] (rows=35631408 width=19) + Filter Operator [FIL_141] (rows=35631408 width=19) predicate:((c_birth_month) IN (9, 5, 12, 4, 1, 10) and c_current_addr_sk is not null and c_current_cdemo_sk is not null) TableScan [TS_0] (rows=80000000 width=19) default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_current_cdemo_sk","c_current_addr_sk","c_birth_month","c_birth_year"] <-Map 8 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_148] + SHUFFLE [RS_146] PartitionCols:_col0 - Select Operator [SEL_147] (rows=5490196 width=285) + Select Operator [SEL_145] (rows=5490196 width=285) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_146] (rows=5490196 width=285) + Filter Operator [FIL_144] (rows=5490196 width=285) predicate:(ca_state) IN ('ND', 'WI', 'AL', 'NC', 'OK', 'MS', 'TN') TableScan [TS_3] (rows=40000000 width=285) default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_county","ca_state","ca_country"] @@ -157,83 +157,83 @@ Stage-0 PartitionCols:_col3 Select Operator [SEL_28] (rows=15983481 width=735) Output:["_col1","_col3","_col6","_col7","_col8","_col9","_col10","_col13"] - Merge Join Operator [MERGEJOIN_141] (rows=15983481 width=735) - Conds:RS_25._col3=RS_173._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col8","_col11","_col13"] + Merge Join Operator [MERGEJOIN_139] (rows=15983481 width=735) + Conds:RS_25._col3=RS_171._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col8","_col11","_col13"] <-Map 18 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_173] + SHUFFLE [RS_171] PartitionCols:_col0 - Select Operator [SEL_172] (rows=462000 width=104) + Select Operator [SEL_170] (rows=462000 width=104) Output:["_col0","_col1"] TableScan [TS_17] (rows=462000 width=104) default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id"] <-Reducer 12 [SIMPLE_EDGE] SHUFFLE [RS_25] PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_140] (rows=15983481 width=639) - Conds:RS_22._col2=RS_161._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col11"] + Merge Join Operator [MERGEJOIN_138] (rows=15983481 width=639) + Conds:RS_22._col2=RS_159._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col11"] <-Map 16 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_161] + PARTITION_ONLY_SHUFFLE [RS_159] PartitionCols:_col0 - Select Operator [SEL_160] (rows=103433 width=116) + Select Operator [SEL_158] (rows=103433 width=116) Output:["_col0","_col1"] - Filter Operator [FIL_159] (rows=103433 width=187) + Filter Operator [FIL_157] (rows=103433 width=187) predicate:((cd_education_status = 'College') and (cd_gender = 'M')) TableScan [TS_14] (rows=1861800 width=187) default@customer_demographics,cd1,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk","cd_gender","cd_education_status","cd_dep_count"] <-Reducer 11 [SIMPLE_EDGE] SHUFFLE [RS_22] PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_139] (rows=100578970 width=565) - Conds:RS_171._col0=RS_153._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] + Merge Join Operator [MERGEJOIN_137] (rows=100578970 width=565) + Conds:RS_169._col0=RS_151._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] <-Map 14 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_153] + PARTITION_ONLY_SHUFFLE [RS_151] PartitionCols:_col0 - Select Operator [SEL_152] (rows=652 width=4) + Select Operator [SEL_150] (rows=652 width=4) Output:["_col0"] - Filter Operator [FIL_151] (rows=652 width=8) + Filter Operator [FIL_149] (rows=652 width=8) predicate:(d_year = 2001) TableScan [TS_11] (rows=73049 width=8) default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year"] <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_171] + SHUFFLE [RS_169] PartitionCols:_col0 - Select Operator [SEL_170] (rows=283692098 width=573) + Select Operator [SEL_168] (rows=283692098 width=573) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] - Filter Operator [FIL_169] (rows=283692098 width=466) + Filter Operator [FIL_167] (rows=283692098 width=466) predicate:((cs_bill_cdemo_sk BETWEEN DynamicValue(RS_23_cd1_cd_demo_sk_min) AND DynamicValue(RS_23_cd1_cd_demo_sk_max) and in_bloom_filter(cs_bill_cdemo_sk, DynamicValue(RS_23_cd1_cd_demo_sk_bloom_filter))) and (cs_bill_customer_sk BETWEEN DynamicValue(RS_35_customer_c_customer_sk_min) AND DynamicValue(RS_35_customer_c_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_35_customer_c_customer_sk_bloom_filter))) and (cs_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(cs_sold_date_sk, DynamicValue(RS_20_date_dim_d_date_sk_bloom_filter))) and cs_bill_cdemo_sk is not null and cs_bill_customer_sk is not null and cs_sold_date_sk is not null) TableScan [TS_8] (rows=287989836 width=466) default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_bill_cdemo_sk","cs_item_sk","cs_quantity","cs_list_price","cs_sales_price","cs_coupon_amt","cs_net_profit"] <-Reducer 15 [BROADCAST_EDGE] vectorized - BROADCAST [RS_158] - Group By Operator [GBY_157] (rows=1 width=12) + BROADCAST [RS_156] + Group By Operator [GBY_155] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_156] - Group By Operator [GBY_155] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_154] + Group By Operator [GBY_153] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_154] (rows=652 width=4) + Select Operator [SEL_152] (rows=652 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_152] + Please refer to the previous Select Operator [SEL_150] <-Reducer 17 [BROADCAST_EDGE] vectorized - BROADCAST [RS_166] - Group By Operator [GBY_165] (rows=1 width=12) + BROADCAST [RS_164] + Group By Operator [GBY_163] (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 - PARTITION_ONLY_SHUFFLE [RS_164] - Group By Operator [GBY_163] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_162] + Group By Operator [GBY_161] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_162] (rows=103433 width=4) + Select Operator [SEL_160] (rows=103433 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_160] + Please refer to the previous Select Operator [SEL_158] <-Reducer 7 [BROADCAST_EDGE] vectorized - BROADCAST [RS_168] - Group By Operator [GBY_167] (rows=1 width=12) + BROADCAST [RS_166] + Group By Operator [GBY_165] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=4890586)"] <-Reducer 3 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_123] - Group By Operator [GBY_122] (rows=1 width=12) + PARTITION_ONLY_SHUFFLE [RS_117] + Group By Operator [GBY_116] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=4890586)"] - Select Operator [SEL_121] (rows=4959744 width=4) + Select Operator [SEL_115] (rows=4959744 width=4) Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_138] + Please refer to the previous Merge Join Operator [MERGEJOIN_136]
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/query24.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query24.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query24.q.out index 7fbbc05..fb77386 100644 --- a/ql/src/test/results/clientpositive/perf/tez/constraints/query24.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query24.q.out @@ -1,4 +1,4 @@ -Warning: Shuffle Join MERGEJOIN[287][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 8' is a cross product +Warning: Shuffle Join MERGEJOIN[298][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 6' is a cross product PREHOOK: query: explain with ssales as (select c_last_name @@ -23,7 +23,8 @@ where ss_ticket_number = sr_ticket_number and ss_customer_sk = c_customer_sk and ss_item_sk = i_item_sk and ss_store_sk = s_store_sk - and c_birth_country = upper(ca_country) + and c_current_addr_sk = ca_address_sk + and c_birth_country <> upper(ca_country) and s_zip = ca_zip and s_market_id=7 group by c_last_name @@ -79,7 +80,8 @@ where ss_ticket_number = sr_ticket_number and ss_customer_sk = c_customer_sk and ss_item_sk = i_item_sk and ss_store_sk = s_store_sk - and c_birth_country = upper(ca_country) + and c_current_addr_sk = ca_address_sk + and c_birth_country <> upper(ca_country) and s_zip = ca_zip and s_market_id=7 group by c_last_name @@ -114,230 +116,248 @@ POSTHOOK: Output: hdfs://### HDFS PATH ### Plan optimized by CBO. Vertex dependency in root stage -Map 1 <- Reducer 10 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE) -Map 24 <- Reducer 20 (BROADCAST_EDGE) -Reducer 10 <- Map 9 (CUSTOM_SIMPLE_EDGE) -Reducer 11 <- Map 9 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE) -Reducer 12 <- Map 22 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE) -Reducer 13 <- Map 23 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE) -Reducer 14 <- Reducer 13 (SIMPLE_EDGE) -Reducer 15 <- Reducer 14 (CUSTOM_SIMPLE_EDGE) -Reducer 17 <- Map 16 (CUSTOM_SIMPLE_EDGE) -Reducer 18 <- Map 16 (SIMPLE_EDGE), Map 24 (SIMPLE_EDGE) -Reducer 19 <- Map 21 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) -Reducer 20 <- Map 16 (CUSTOM_SIMPLE_EDGE) -Reducer 3 <- Map 16 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Map 21 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Map 22 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Map 23 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (SIMPLE_EDGE) -Reducer 8 <- Reducer 15 (CUSTOM_SIMPLE_EDGE), Reducer 7 (CUSTOM_SIMPLE_EDGE) +Map 1 <- Reducer 16 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 8 (BROADCAST_EDGE) +Map 25 <- Reducer 22 (BROADCAST_EDGE) +Reducer 10 <- Map 24 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) +Reducer 11 <- Reducer 10 (SIMPLE_EDGE) +Reducer 12 <- Reducer 11 (CUSTOM_SIMPLE_EDGE) +Reducer 14 <- Map 13 (SIMPLE_EDGE), Map 21 (SIMPLE_EDGE) +Reducer 15 <- Map 23 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE) +Reducer 16 <- Reducer 15 (CUSTOM_SIMPLE_EDGE) +Reducer 17 <- Reducer 15 (CUSTOM_SIMPLE_EDGE) +Reducer 18 <- Map 13 (SIMPLE_EDGE), Map 23 (SIMPLE_EDGE) +Reducer 19 <- Map 25 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) +Reducer 20 <- Map 21 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE) +Reducer 22 <- Map 21 (CUSTOM_SIMPLE_EDGE) +Reducer 3 <- Reducer 15 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 24 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 12 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE) +Reducer 8 <- Map 7 (CUSTOM_SIMPLE_EDGE) +Reducer 9 <- Map 7 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE) Stage-0 Fetch Operator limit:-1 Stage-1 - Reducer 8 - File Output Operator [FS_88] - Select Operator [SEL_87] (rows=78393744 width=380) + Reducer 6 + File Output Operator [FS_91] + Select Operator [SEL_90] (rows=1313165 width=380) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_86] (rows=78393744 width=492) + Filter Operator [FIL_89] (rows=1313165 width=492) predicate:(_col3 > _col4) - Merge Join Operator [MERGEJOIN_287] (rows=235181232 width=492) + Merge Join Operator [MERGEJOIN_298] (rows=3939496 width=492) Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4"] - <-Reducer 15 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_340] - Select Operator [SEL_339] (rows=1 width=112) + <-Reducer 12 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_350] + Select Operator [SEL_349] (rows=1 width=112) Output:["_col0"] - Group By Operator [GBY_338] (rows=1 width=120) + Group By Operator [GBY_348] (rows=1 width=120) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"] - <-Reducer 14 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_337] - Group By Operator [GBY_336] (rows=1 width=120) + <-Reducer 11 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_347] + Group By Operator [GBY_346] (rows=1 width=120) Output:["_col0","_col1"],aggregations:["sum(_col10)","count(_col10)"] - Select Operator [SEL_335] (rows=2121289008973 width=932) + Select Operator [SEL_345] (rows=8029453 width=932) Output:["_col10"] - Group By Operator [GBY_334] (rows=2121289008973 width=932) + Group By Operator [GBY_344] (rows=8029453 width=932) 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_75] + <-Reducer 10 [SIMPLE_EDGE] + SHUFFLE [RS_78] PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 - Group By Operator [GBY_74] (rows=2121289008973 width=932) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(_col4)"],keys:_col10, _col11, _col6, _col7, _col14, _col15, _col16, _col17, _col18, _col21 - Merge Join Operator [MERGEJOIN_286] (rows=2121289008973 width=932) - Conds:RS_70._col12, _col8=RS_323._col2, _col1(Inner),Output:["_col4","_col6","_col7","_col10","_col11","_col14","_col15","_col16","_col17","_col18","_col21"] - <-Map 23 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_323] - PartitionCols:_col2, _col1 - Select Operator [SEL_321] (rows=40000000 width=359) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_320] (rows=40000000 width=272) - predicate:(ca_zip is not null and upper(ca_country) is not null) - TableScan [TS_14] (rows=40000000 width=272) - default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_state","ca_zip","ca_country"] - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_70] - PartitionCols:_col12, _col8 - Merge Join Operator [MERGEJOIN_285] (rows=537799796 width=1023) - Conds:RS_67._col0, _col3=RS_319._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col8","_col10","_col11","_col12","_col14","_col15","_col16","_col17","_col18"] - <-Map 22 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_319] - PartitionCols:_col0, _col1 - Select Operator [SEL_317] (rows=57591150 width=8) - Output:["_col0","_col1"] - TableScan [TS_12] (rows=57591150 width=8) - default@store_returns,store_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["sr_item_sk","sr_ticket_number"] - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_67] - PartitionCols:_col0, _col3 - Merge Join Operator [MERGEJOIN_284] (rows=385681992 width=1029) - Conds:RS_64._col0=RS_291._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col8","_col10","_col11","_col12","_col14","_col15","_col16","_col17","_col18"] - <-Map 9 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_291] - PartitionCols:_col0 - Select Operator [SEL_289] (rows=462000 width=384) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - TableScan [TS_3] (rows=462000 width=384) - default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_current_price","i_size","i_color","i_units","i_manager_id"] - <-Reducer 19 [SIMPLE_EDGE] - SHUFFLE [RS_64] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_283] (rows=385681992 width=648) - Conds:RS_61._col1=RS_316._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col8","_col10","_col11","_col12"] - <-Map 21 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_316] - PartitionCols:_col0 - Select Operator [SEL_314] (rows=80000000 width=276) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_313] (rows=80000000 width=276) - predicate:c_birth_country is not null - TableScan [TS_9] (rows=80000000 width=276) - default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_first_name","c_last_name","c_birth_country"] - <-Reducer 18 [SIMPLE_EDGE] - SHUFFLE [RS_61] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_282] (rows=385681992 width=379) - Conds:RS_333._col2=RS_302._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col7","_col8"] - <-Map 16 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_302] - PartitionCols:_col0 - Select Operator [SEL_299] (rows=155 width=267) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_298] (rows=155 width=271) - predicate:((s_market_id = 7) and s_zip is not null) - TableScan [TS_6] (rows=1704 width=270) - default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_store_name","s_market_id","s_state","s_zip"] - <-Map 24 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_333] - PartitionCols:_col2 - Select Operator [SEL_332] (rows=525333486 width=122) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_331] (rows=525333486 width=122) - predicate:((ss_store_sk BETWEEN DynamicValue(RS_59_store_s_store_sk_min) AND DynamicValue(RS_59_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_59_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_store_sk is not null) - TableScan [TS_42] (rows=575995635 width=122) - default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"] - <-Reducer 20 [BROADCAST_EDGE] vectorized - BROADCAST [RS_330] - Group By Operator [GBY_329] (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_307] - Group By Operator [GBY_305] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_303] (rows=155 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_299] - <-Reducer 7 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_328] - Select Operator [SEL_327] (rows=235181232 width=380) - Output:["_col0","_col1","_col2","_col3"] - Group By Operator [GBY_326] (rows=235181232 width=380) - Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col9)"],keys:_col1, _col2, _col7 - Select Operator [SEL_325] (rows=365777643230 width=843) - Output:["_col1","_col2","_col7","_col9"] - Group By Operator [GBY_324] (rows=365777643230 width=843) - 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_34] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_33] (rows=365777643230 width=843) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(_col4)"],keys:_col15, _col16, _col11, _col20, _col6, _col7, _col8, _col9, _col12 - Merge Join Operator [MERGEJOIN_281] (rows=365777643230 width=843) - Conds:RS_29._col13, _col17=RS_322._col1, _col2(Inner),Output:["_col4","_col6","_col7","_col8","_col9","_col11","_col12","_col15","_col16","_col20"] - <-Map 23 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_322] - PartitionCols:_col1, _col2 - Please refer to the previous Select Operator [SEL_321] - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_29] - PartitionCols:_col13, _col17 - Merge Join Operator [MERGEJOIN_280] (rows=92733777 width=910) - Conds:RS_26._col0, _col3=RS_318._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17"] - <-Map 22 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_318] + Group By Operator [GBY_77] (rows=8029453 width=932) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(_col13)"],keys:_col2, _col3, _col6, _col15, _col16, _col19, _col20, _col21, _col22, _col23 + Merge Join Operator [MERGEJOIN_297] (rows=13238221 width=865) + Conds:RS_73._col9, _col12=RS_333._col0, _col1(Inner),Output:["_col2","_col3","_col6","_col13","_col15","_col16","_col19","_col20","_col21","_col22","_col23"] + <-Map 24 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_333] PartitionCols:_col0, _col1 - Please refer to the previous Select Operator [SEL_317] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_26] - PartitionCols:_col0, _col3 - Merge Join Operator [MERGEJOIN_279] (rows=56246341 width=899) - Conds:RS_23._col1=RS_315._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17"] - <-Map 21 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_315] + Select Operator [SEL_331] (rows=57591150 width=8) + Output:["_col0","_col1"] + TableScan [TS_23] (rows=57591150 width=8) + default@store_returns,store_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["sr_item_sk","sr_ticket_number"] + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_73] + PartitionCols:_col9, _col12 + Merge Join Operator [MERGEJOIN_296] (rows=8029453 width=828) + Conds:RS_70._col9=RS_302._col0(Inner),Output:["_col2","_col3","_col6","_col9","_col12","_col13","_col15","_col16","_col19","_col20","_col21","_col22","_col23"] + <-Map 7 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_302] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_314] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_23] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_278] (rows=56246341 width=630) - Conds:RS_20._col2=RS_300._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col7","_col8","_col9","_col11","_col12","_col13"] - <-Map 16 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_300] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_299] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_20] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_277] (rows=76612563 width=382) - Conds:RS_312._col0=RS_292._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col9"] - <-Map 9 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_292] - PartitionCols:_col0 - Select Operator [SEL_290] (rows=7000 width=295) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_288] (rows=7000 width=384) - predicate:(i_color = 'orchid') - Please refer to the previous TableScan [TS_3] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_312] - PartitionCols:_col0 - Select Operator [SEL_311] (rows=525333486 width=122) + Select Operator [SEL_300] (rows=462000 width=384) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + TableScan [TS_3] (rows=462000 width=384) + default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_current_price","i_size","i_color","i_units","i_manager_id"] + <-Reducer 20 [SIMPLE_EDGE] + SHUFFLE [RS_70] + PartitionCols:_col9 + Merge Join Operator [MERGEJOIN_295] (rows=8029453 width=448) + Conds:RS_67._col7, _col11=RS_316._col3, _col0(Inner),Output:["_col2","_col3","_col6","_col9","_col12","_col13","_col15","_col16"] + <-Map 21 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_316] + PartitionCols:_col3, _col0 + Select Operator [SEL_314] (rows=155 width=267) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_313] (rows=155 width=271) + predicate:((s_market_id = 7) and s_zip is not null) + TableScan [TS_9] (rows=1704 width=270) + default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_store_name","s_market_id","s_state","s_zip"] + <-Reducer 19 [SIMPLE_EDGE] + SHUFFLE [RS_67] + PartitionCols:_col7, _col11 + Merge Join Operator [MERGEJOIN_294] (rows=525333486 width=473) + Conds:RS_64._col0=RS_343._col1(Inner),Output:["_col2","_col3","_col6","_col7","_col9","_col11","_col12","_col13"] + <-Map 25 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_343] + PartitionCols:_col1 + Select Operator [SEL_342] (rows=525333486 width=122) Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_310] (rows=525333486 width=122) - predicate:((ss_item_sk BETWEEN DynamicValue(RS_18_item_i_item_sk_min) AND DynamicValue(RS_18_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_18_item_i_item_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_21_store_s_store_sk_min) AND DynamicValue(RS_21_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_21_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_store_sk is not null) - TableScan [TS_0] (rows=575995635 width=122) + Filter Operator [FIL_341] (rows=525333486 width=122) + predicate:((ss_store_sk BETWEEN DynamicValue(RS_68_store_s_store_sk_min) AND DynamicValue(RS_68_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_68_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_store_sk is not null) + TableScan [TS_50] (rows=575995635 width=122) default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"] - <-Reducer 10 [BROADCAST_EDGE] vectorized - BROADCAST [RS_297] - Group By Operator [GBY_296] (rows=1 width=12) + <-Reducer 22 [BROADCAST_EDGE] vectorized + BROADCAST [RS_340] + Group By Operator [GBY_339] (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_295] - Group By Operator [GBY_294] (rows=1 width=12) + <-Map 21 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_319] + Group By Operator [GBY_318] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_293] (rows=7000 width=4) + Select Operator [SEL_317] (rows=155 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_290] - <-Reducer 17 [BROADCAST_EDGE] vectorized - BROADCAST [RS_309] - Group By Operator [GBY_308] (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_306] - Group By Operator [GBY_304] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_301] (rows=155 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_299] + Please refer to the previous Select Operator [SEL_314] + <-Reducer 18 [SIMPLE_EDGE] + SHUFFLE [RS_64] + PartitionCols:_col0 + Filter Operator [FIL_63] (rows=80000000 width=635) + predicate:(_col4 <> _col8) + Merge Join Operator [MERGEJOIN_293] (rows=80000000 width=635) + Conds:RS_323._col1=RS_312._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col6","_col7","_col8"] + <-Map 13 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_312] + PartitionCols:_col0 + Select Operator [SEL_310] (rows=40000000 width=363) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_309] (rows=40000000 width=276) + predicate:ca_zip is not null + TableScan [TS_6] (rows=40000000 width=276) + default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_state","ca_zip","ca_country"] + <-Map 23 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_323] + PartitionCols:_col1 + Select Operator [SEL_321] (rows=80000000 width=280) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_320] (rows=80000000 width=280) + predicate:c_current_addr_sk is not null + TableScan [TS_12] (rows=80000000 width=280) + default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_current_addr_sk","c_first_name","c_last_name","c_birth_country"] + <-Reducer 5 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_338] + Select Operator [SEL_337] (rows=3939496 width=380) + Output:["_col0","_col1","_col2","_col3"] + Group By Operator [GBY_336] (rows=3939496 width=380) + Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col9)"],keys:_col4, _col5, _col7 + Select Operator [SEL_335] (rows=84010488 width=843) + Output:["_col4","_col5","_col7","_col9"] + Group By Operator [GBY_334] (rows=84010488 width=843) + 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 4 [SIMPLE_EDGE] + SHUFFLE [RS_36] + PartitionCols:_col0, _col1, _col2 + Group By Operator [GBY_35] (rows=84010488 width=843) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(_col4)"],keys:_col12, _col13, _col20, _col6, _col7, _col8, _col9, _col16, _col21 + Merge Join Operator [MERGEJOIN_292] (rows=138508741 width=824) + Conds:RS_31._col0, _col3=RS_332._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col8","_col9","_col12","_col13","_col16","_col20","_col21"] + <-Map 24 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_332] + PartitionCols:_col0, _col1 + Please refer to the previous Select Operator [SEL_331] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_31] + PartitionCols:_col0, _col3 + Merge Join Operator [MERGEJOIN_291] (rows=84010488 width=820) + Conds:RS_28._col1, _col2=RS_29._col0, _col9(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col8","_col9","_col12","_col13","_col16","_col20","_col21"] + <-Reducer 15 [SIMPLE_EDGE] + SHUFFLE [RS_29] + PartitionCols:_col0, _col9 + Select Operator [SEL_22] (rows=7276996 width=724) + Output:["_col0","_col2","_col3","_col6","_col9","_col10","_col11"] + Filter Operator [FIL_21] (rows=7276996 width=724) + predicate:(_col12 <> _col3) + Merge Join Operator [MERGEJOIN_290] (rows=7276996 width=724) + Conds:RS_18._col0=RS_322._col1(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col8","_col10","_col11","_col12"] + <-Map 23 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_322] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_321] + <-Reducer 14 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_289] (rows=611379 width=452) + Conds:RS_311._col2=RS_315._col3(Inner),Output:["_col0","_col1","_col3","_col4","_col5","_col6"] + <-Map 21 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_315] + PartitionCols:_col3 + Please refer to the previous Select Operator [SEL_314] + <-Map 13 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_311] + PartitionCols:_col2 + Please refer to the previous Select Operator [SEL_310] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_28] + PartitionCols:_col1, _col2 + Merge Join Operator [MERGEJOIN_288] (rows=76612563 width=382) + Conds:RS_330._col0=RS_303._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col9"] + <-Map 7 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_303] + PartitionCols:_col0 + Select Operator [SEL_301] (rows=7000 width=295) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_299] (rows=7000 width=384) + predicate:(i_color = 'orchid') + Please refer to the previous TableScan [TS_3] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_330] + PartitionCols:_col0 + Select Operator [SEL_329] (rows=525333486 width=122) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_328] (rows=525333486 width=122) + predicate:((ss_customer_sk BETWEEN DynamicValue(RS_29_customer_c_customer_sk_min) AND DynamicValue(RS_29_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_29_customer_c_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_26_item_i_item_sk_min) AND DynamicValue(RS_26_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_26_item_i_item_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_29_store_s_store_sk_min) AND DynamicValue(RS_29_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_29_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_store_sk is not null) + TableScan [TS_0] (rows=575995635 width=122) + default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"] + <-Reducer 16 [BROADCAST_EDGE] vectorized + BROADCAST [RS_325] + Group By Operator [GBY_324] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=6636187)"] + <-Reducer 15 [CUSTOM_SIMPLE_EDGE] + SHUFFLE [RS_149] + Group By Operator [GBY_148] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=6636187)"] + Select Operator [SEL_147] (rows=7276996 width=4) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_22] + <-Reducer 17 [BROADCAST_EDGE] vectorized + BROADCAST [RS_327] + Group By Operator [GBY_326] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Reducer 15 [CUSTOM_SIMPLE_EDGE] + SHUFFLE [RS_154] + Group By Operator [GBY_153] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_152] (rows=7276996 width=8) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_22] + <-Reducer 8 [BROADCAST_EDGE] vectorized + BROADCAST [RS_308] + Group By Operator [GBY_307] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 7 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_306] + Group By Operator [GBY_305] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_304] (rows=7000 width=4) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_301]
