http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/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 902358a..43ece85 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[290][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 8' is a cross product +Warning: Shuffle Join MERGEJOIN[301][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 @@ -114,234 +116,242 @@ 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 24 <- Reducer 19 (BROADCAST_EDGE), Reducer 20 (BROADCAST_EDGE) +Reducer 10 <- Map 23 (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 22 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE) +Reducer 16 <- Reducer 15 (CUSTOM_SIMPLE_EDGE) +Reducer 17 <- Reducer 15 (CUSTOM_SIMPLE_EDGE) +Reducer 18 <- Map 24 (SIMPLE_EDGE), Reducer 15 (SIMPLE_EDGE) +Reducer 19 <- Reducer 15 (CUSTOM_SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) +Reducer 20 <- Reducer 15 (CUSTOM_SIMPLE_EDGE) +Reducer 3 <- Reducer 15 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 23 (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 18 (SIMPLE_EDGE) Stage-0 Fetch Operator limit:-1 Stage-1 - Reducer 8 - File Output Operator [FS_91] - Select Operator [SEL_90] (rows=78393744 width=380) + Reducer 6 + File Output Operator [FS_94] + Select Operator [SEL_93] (rows=1313165 width=380) Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_89] (rows=78393744 width=492) + Filter Operator [FIL_92] (rows=1313165 width=492) predicate:(_col3 > _col4) - Merge Join Operator [MERGEJOIN_290] (rows=235181232 width=492) + Merge Join Operator [MERGEJOIN_301] (rows=3939496 width=492) Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4"] - <-Reducer 15 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_345] - Select Operator [SEL_344] (rows=1 width=112) + <-Reducer 12 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_351] + Select Operator [SEL_350] (rows=1 width=112) Output:["_col0"] - Group By Operator [GBY_343] (rows=1 width=120) + Group By Operator [GBY_349] (rows=1 width=120) Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"] - <-Reducer 14 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_342] - Group By Operator [GBY_341] (rows=1 width=120) + <-Reducer 11 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_348] + Group By Operator [GBY_347] (rows=1 width=120) Output:["_col0","_col1"],aggregations:["sum(_col10)","count(_col10)"] - Select Operator [SEL_340] (rows=2121289008973 width=932) + Select Operator [SEL_346] (rows=576061174 width=932) Output:["_col10"] - Group By Operator [GBY_339] (rows=2121289008973 width=932) + Group By Operator [GBY_345] (rows=576061174 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_78] + <-Reducer 10 [SIMPLE_EDGE] + SHUFFLE [RS_81] PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 - Group By Operator [GBY_77] (rows=2121289008973 width=932) - 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_289] (rows=2121289008973 width=932) - Conds:RS_73._col9, _col13=RS_328._col1, upper(_col2)(Inner),Output:["_col4","_col6","_col8","_col11","_col12","_col15","_col16","_col17","_col18","_col19","_col22"] + Group By Operator [GBY_80] (rows=576061174 width=932) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(_col18)"],keys:_col11, _col12, _col1, _col5, _col7, _col20, _col21, _col22, _col23, _col24 + Merge Join Operator [MERGEJOIN_300] (rows=589731269 width=928) + Conds:RS_76._col14, _col17=RS_332._col0, _col1(Inner),Output:["_col1","_col5","_col7","_col11","_col12","_col18","_col20","_col21","_col22","_col23","_col24"] <-Map 23 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_328] - PartitionCols:_col1, upper(_col2) - Select Operator [SEL_326] (rows=40000000 width=272) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_325] (rows=40000000 width=272) - predicate:(ca_zip is not null and upper(ca_country) is not null) - TableScan [TS_15] (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_73] - PartitionCols:_col9, _col13 - Merge Join Operator [MERGEJOIN_288] (rows=537799796 width=1023) - Conds:RS_70._col0, _col3=RS_324._col0, _col1(Inner),Output:["_col4","_col6","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17","_col18","_col19"] - <-Map 22 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_324] - PartitionCols:_col0, _col1 - Select Operator [SEL_322] (rows=57591150 width=8) - Output:["_col0","_col1"] - Filter Operator [FIL_321] (rows=57591150 width=8) - predicate:(sr_item_sk is not null and sr_ticket_number is not null) - 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_70] - PartitionCols:_col0, _col3 - Merge Join Operator [MERGEJOIN_287] (rows=385681992 width=1029) - 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_297] - PartitionCols:_col0 - Select Operator [SEL_294] (rows=462000 width=384) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_292] (rows=462000 width=384) - predicate:i_item_sk is not null - 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_67] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_286] (rows=385681992 width=648) - Conds:RS_64._col1=RS_320._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col8","_col9","_col11","_col12","_col13"] - <-Map 21 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_320] - PartitionCols:_col0 - Select Operator [SEL_318] (rows=80000000 width=276) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_317] (rows=80000000 width=276) - predicate:(c_birth_country is not null and c_customer_sk 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_64] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_285] (rows=385681992 width=379) - Conds:RS_338._col2=RS_306._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col8","_col9"] - <-Map 16 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_306] - PartitionCols:_col0 - Select Operator [SEL_303] (rows=155 width=271) - Output:["_col0","_col1","_col3","_col4"] - Filter Operator [FIL_302] (rows=155 width=271) - predicate:((s_market_id = 7) and s_store_sk is not null 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_338] - PartitionCols:_col2 - Select Operator [SEL_337] (rows=525333486 width=122) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_336] (rows=525333486 width=122) - predicate:((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_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=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_335] - Group By Operator [GBY_334] (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_311] - Group By Operator [GBY_309] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_307] (rows=155 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_303] - <-Reducer 7 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_333] - Select Operator [SEL_332] (rows=235181232 width=380) + SHUFFLE [RS_332] + PartitionCols:_col0, _col1 + Select Operator [SEL_330] (rows=57591150 width=8) + Output:["_col0","_col1"] + Filter Operator [FIL_329] (rows=57591150 width=8) + predicate:(sr_item_sk is not null and sr_ticket_number is not null) + 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_76] + PartitionCols:_col14, _col17 + Merge Join Operator [MERGEJOIN_299] (rows=576061174 width=936) + Conds:RS_73._col14=RS_308._col0(Inner),Output:["_col1","_col5","_col7","_col11","_col12","_col14","_col17","_col18","_col20","_col21","_col22","_col23","_col24"] + <-Map 7 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_308] + PartitionCols:_col0 + Select Operator [SEL_305] (rows=462000 width=384) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_303] (rows=462000 width=384) + predicate:i_item_sk is not null + 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 18 [SIMPLE_EDGE] + SHUFFLE [RS_73] + PartitionCols:_col14 + Merge Join Operator [MERGEJOIN_298] (rows=576061174 width=555) + Conds:RS_70._col9, _col4=RS_344._col1, _col2(Inner),Output:["_col1","_col5","_col7","_col11","_col12","_col14","_col17","_col18"] + <-Reducer 15 [SIMPLE_EDGE] + SHUFFLE [RS_70] + PartitionCols:_col9, _col4 + Filter Operator [FIL_21] (rows=7276996 width=637) + predicate:(_col13 <> upper(_col3)) + Merge Join Operator [MERGEJOIN_293] (rows=7276996 width=637) + Conds:RS_18._col0=RS_321._col1(Inner),Output:["_col1","_col3","_col4","_col5","_col7","_col9","_col11","_col12","_col13"] + <-Map 22 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_321] + PartitionCols:_col1 + Select Operator [SEL_320] (rows=80000000 width=280) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_319] (rows=80000000 width=280) + predicate:(c_current_addr_sk is not null and c_customer_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 14 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_292] (rows=611379 width=365) + Conds:RS_315._col2=RS_318._col4(Inner),Output:["_col0","_col1","_col3","_col4","_col5","_col7"] + <-Map 13 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_315] + PartitionCols:_col2 + Select Operator [SEL_314] (rows=40000000 width=276) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_313] (rows=40000000 width=276) + predicate:(ca_address_sk is not null and 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 21 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_318] + PartitionCols:_col4 + Select Operator [SEL_317] (rows=155 width=271) + Output:["_col0","_col1","_col3","_col4"] + Filter Operator [FIL_316] (rows=155 width=271) + predicate:((s_market_id = 7) and s_store_sk is not null 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"] + <-Map 24 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_344] + PartitionCols:_col1, _col2 + Select Operator [SEL_343] (rows=525333486 width=122) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_342] (rows=525333486 width=122) + predicate:((ss_customer_sk BETWEEN DynamicValue(RS_70_customer_c_customer_sk_min) AND DynamicValue(RS_70_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_70_customer_c_customer_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_70_store_s_store_sk_min) AND DynamicValue(RS_70_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_70_store_s_store_sk_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_54] (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 19 [BROADCAST_EDGE] vectorized + BROADCAST [RS_339] + Group By Operator [GBY_338] (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_250] + Group By Operator [GBY_249] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=6636187)"] + Select Operator [SEL_248] (rows=7276996 width=8) + Output:["_col0"] + Please refer to the previous Filter Operator [FIL_21] + <-Reducer 20 [BROADCAST_EDGE] vectorized + 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)"] + <-Reducer 15 [CUSTOM_SIMPLE_EDGE] + SHUFFLE [RS_255] + Group By Operator [GBY_254] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_253] (rows=7276996 width=8) + Output:["_col0"] + Please refer to the previous Filter Operator [FIL_21] + <-Reducer 5 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_337] + Select Operator [SEL_336] (rows=3939496 width=380) Output:["_col0","_col1","_col2","_col3"] - Group By Operator [GBY_331] (rows=235181232 width=380) - Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col9)"],keys:_col1, _col2, _col7 - Select Operator [SEL_330] (rows=365777643230 width=843) - Output:["_col1","_col2","_col7","_col9"] - Group By Operator [GBY_329] (rows=365777643230 width=843) + Group By Operator [GBY_335] (rows=3939496 width=380) + Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col9)"],keys:_col4, _col5, _col7 + Select Operator [SEL_334] (rows=84010488 width=843) + Output:["_col4","_col5","_col7","_col9"] + Group By Operator [GBY_333] (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 6 [SIMPLE_EDGE] - SHUFFLE [RS_35] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_37] PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_34] (rows=365777643230 width=843) - 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_284] (rows=365777643230 width=843) - Conds:RS_30._col15, _col19=RS_327._col1, upper(_col2)(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col17","_col18","_col22"] + Group By Operator [GBY_36] (rows=84010488 width=843) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(_col4)"],keys:_col13, _col14, _col21, _col6, _col7, _col9, _col10, _col17, _col23 + Merge Join Operator [MERGEJOIN_295] (rows=138508741 width=824) + Conds:RS_32._col0, _col3=RS_331._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col13","_col14","_col17","_col21","_col23"] <-Map 23 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_327] - PartitionCols:_col1, upper(_col2) - Please refer to the previous Select Operator [SEL_326] - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_30] - PartitionCols:_col15, _col19 - Merge Join Operator [MERGEJOIN_283] (rows=92733777 width=910) - Conds:RS_27._col0, _col3=RS_323._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15","_col17","_col18","_col19"] - <-Map 22 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_323] - PartitionCols:_col0, _col1 - Please refer to the previous Select Operator [SEL_322] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_27] - PartitionCols:_col0, _col3 - Merge Join Operator [MERGEJOIN_282] (rows=56246341 width=899) - Conds:RS_24._col1=RS_319._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15","_col17","_col18","_col19"] - <-Map 21 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_319] + SHUFFLE [RS_331] + PartitionCols:_col0, _col1 + Please refer to the previous Select Operator [SEL_330] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_32] + PartitionCols:_col0, _col3 + Merge Join Operator [MERGEJOIN_294] (rows=84010488 width=820) + Conds:RS_29._col1, _col2=RS_30._col0, _col9(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col9","_col10","_col13","_col14","_col17","_col21","_col23"] + <-Reducer 15 [SIMPLE_EDGE] + SHUFFLE [RS_30] + PartitionCols:_col0, _col9 + Select Operator [SEL_22] (rows=7276996 width=637) + Output:["_col0","_col2","_col3","_col6","_col9","_col10","_col12"] + Please refer to the previous Filter Operator [FIL_21] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_29] + PartitionCols:_col1, _col2 + Merge Join Operator [MERGEJOIN_291] (rows=76612563 width=382) + Conds:RS_328._col0=RS_306._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col9","_col10"] + <-Map 7 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_306] + PartitionCols:_col0 + Select Operator [SEL_304] (rows=7000 width=385) + Output:["_col0","_col1","_col2","_col4","_col5"] + Filter Operator [FIL_302] (rows=7000 width=384) + 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_328] PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_318] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_24] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_281] (rows=56246341 width=630) - Conds:RS_21._col2=RS_304._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15"] - <-Map 16 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_304] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_303] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_21] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_280] (rows=76612563 width=382) - Conds:RS_316._col0=RS_295._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col9","_col10"] - <-Map 9 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_295] - PartitionCols:_col0 - Select Operator [SEL_293] (rows=7000 width=385) - Output:["_col0","_col1","_col2","_col4","_col5"] - Filter Operator [FIL_291] (rows=7000 width=384) - 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_316] - PartitionCols:_col0 - Select Operator [SEL_315] (rows=525333486 width=122) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_314] (rows=525333486 width=122) - predicate:((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_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_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=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_301] - Group By Operator [GBY_300] (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_299] - Group By Operator [GBY_298] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_296] (rows=7000 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_293] - <-Reducer 17 [BROADCAST_EDGE] vectorized - BROADCAST [RS_313] - Group By Operator [GBY_312] (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_310] - Group By Operator [GBY_308] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_305] (rows=155 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_303] + Select Operator [SEL_327] (rows=525333486 width=122) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_326] (rows=525333486 width=122) + predicate:((ss_customer_sk BETWEEN DynamicValue(RS_30_customer_c_customer_sk_min) AND DynamicValue(RS_30_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_30_customer_c_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_27_item_i_item_sk_min) AND DynamicValue(RS_27_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_27_item_i_item_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_30_store_s_store_sk_min) AND DynamicValue(RS_30_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_30_store_s_store_sk_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=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_323] + Group By Operator [GBY_322] (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_152] + Group By Operator [GBY_151] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=6636187)"] + Select Operator [SEL_150] (rows=7276996 width=4) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_22] + <-Reducer 17 [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=1000000)"] + <-Reducer 15 [CUSTOM_SIMPLE_EDGE] + SHUFFLE [RS_157] + Group By Operator [GBY_156] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_155] (rows=7276996 width=8) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_22] + <-Reducer 8 [BROADCAST_EDGE] vectorized + BROADCAST [RS_312] + Group By Operator [GBY_311] (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_310] + Group By Operator [GBY_309] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_307] (rows=7000 width=4) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_304]
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/query59.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query59.q.out b/ql/src/test/results/clientpositive/perf/tez/query59.q.out index 76b4a5e..2ac474a 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query59.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query59.q.out @@ -110,51 +110,51 @@ Stage-0 limit:100 Stage-1 Reducer 7 vectorized - File Output Operator [FS_210] - Limit [LIM_209] (rows=100 width=976) + File Output Operator [FS_208] + Limit [LIM_207] (rows=100 width=976) Number of rows:100 - Select Operator [SEL_208] (rows=1012347 width=976) + Select Operator [SEL_206] (rows=1012347 width=976) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"] <-Reducer 6 [SIMPLE_EDGE] SHUFFLE [RS_59] Select Operator [SEL_58] (rows=1012347 width=976) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"] - Merge Join Operator [MERGEJOIN_185] (rows=1012347 width=1648) + Merge Join Operator [MERGEJOIN_183] (rows=1012347 width=1648) Conds:RS_55._col12, _col0=RS_56._col1, (_col0 - 52)(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col12","_col13","_col16","_col17","_col18","_col19","_col20","_col21"] <-Reducer 10 [SIMPLE_EDGE] SHUFFLE [RS_56] PartitionCols:_col1, (_col0 - 52) Select Operator [SEL_48] (rows=28847 width=776) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - Merge Join Operator [MERGEJOIN_184] (rows=28847 width=776) - Conds:RS_45._col1=RS_207._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col11"] + Merge Join Operator [MERGEJOIN_182] (rows=28847 width=776) + Conds:RS_45._col1=RS_205._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col11"] <-Map 14 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_207] + SHUFFLE [RS_205] PartitionCols:_col0 - Select Operator [SEL_206] (rows=1704 width=104) + Select Operator [SEL_204] (rows=1704 width=104) Output:["_col0","_col1"] - Filter Operator [FIL_205] (rows=1704 width=104) + Filter Operator [FIL_203] (rows=1704 width=104) predicate:(s_store_id is not null and s_store_sk is not null) TableScan [TS_39] (rows=1704 width=104) default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_store_id"] <-Reducer 9 [SIMPLE_EDGE] SHUFFLE [RS_45] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_183] (rows=28847 width=676) - Conds:RS_204._col0=RS_199._col1(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + Merge Join Operator [MERGEJOIN_181] (rows=28847 width=676) + Conds:RS_202._col0=RS_197._col1(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] <-Map 12 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_199] + SHUFFLE [RS_197] PartitionCols:_col1 - Select Operator [SEL_197] (rows=317 width=8) + Select Operator [SEL_195] (rows=317 width=8) Output:["_col1"] - Filter Operator [FIL_195] (rows=317 width=8) + Filter Operator [FIL_193] (rows=317 width=8) predicate:(d_month_seq BETWEEN 1197 AND 1208 and d_week_seq is not null) TableScan [TS_15] (rows=73049 width=8) default@date_dim,d,Tbl:COMPLETE,Col:COMPLETE,Output:["d_month_seq","d_week_seq"] <-Reducer 8 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_204] + SHUFFLE [RS_202] PartitionCols:_col0 - Group By Operator [GBY_203] (rows=1196832 width=679) + Group By Operator [GBY_201] (rows=1196832 width=679) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)"],keys:KEY._col0, KEY._col1 <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_33] @@ -163,57 +163,57 @@ Stage-0 Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(_col2)","sum(_col3)","sum(_col5)","sum(_col6)","sum(_col7)","sum(_col8)"],keys:_col0, _col1 Select Operator [SEL_30] (rows=525329897 width=205) Output:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8"] - Merge Join Operator [MERGEJOIN_179] (rows=525329897 width=205) - Conds:RS_188._col0=RS_191._col0(Inner),Output:["_col1","_col2","_col4","_col5"] + Merge Join Operator [MERGEJOIN_177] (rows=525329897 width=205) + Conds:RS_186._col0=RS_189._col0(Inner),Output:["_col1","_col2","_col4","_col5"] <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_188] + SHUFFLE [RS_186] PartitionCols:_col0 - Select Operator [SEL_187] (rows=525329897 width=114) + Select Operator [SEL_185] (rows=525329897 width=114) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_186] (rows=525329897 width=114) + Filter Operator [FIL_184] (rows=525329897 width=114) predicate:(ss_sold_date_sk is not null and ss_store_sk is not null) TableScan [TS_0] (rows=575995635 width=114) default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_store_sk","ss_sales_price"] <-Map 11 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_191] + SHUFFLE [RS_189] PartitionCols:_col0 - Select Operator [SEL_190] (rows=73049 width=99) + Select Operator [SEL_188] (rows=73049 width=99) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_189] (rows=73049 width=99) + Filter Operator [FIL_187] (rows=73049 width=99) predicate:(d_date_sk is not null and d_week_seq is not null) TableScan [TS_3] (rows=73049 width=99) default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_week_seq","d_day_name"] <-Reducer 5 [SIMPLE_EDGE] SHUFFLE [RS_55] PartitionCols:_col12, _col0 - Merge Join Operator [MERGEJOIN_181] (rows=28847 width=976) - Conds:RS_52._col1=RS_202._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col12","_col13"] + Merge Join Operator [MERGEJOIN_179] (rows=28847 width=976) + Conds:RS_52._col1=RS_200._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col12","_col13"] <-Map 13 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_202] + SHUFFLE [RS_200] PartitionCols:_col0 - Select Operator [SEL_201] (rows=1704 width=192) + Select Operator [SEL_199] (rows=1704 width=192) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_200] (rows=1704 width=192) + Filter Operator [FIL_198] (rows=1704 width=192) predicate:(s_store_id is not null and s_store_sk is not null) TableScan [TS_18] (rows=1704 width=192) default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_store_id","s_store_name"] <-Reducer 4 [SIMPLE_EDGE] SHUFFLE [RS_52] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_180] (rows=28847 width=788) - Conds:RS_193._col0=RS_198._col1(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] + Merge Join Operator [MERGEJOIN_178] (rows=28847 width=788) + Conds:RS_191._col0=RS_196._col1(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] <-Map 12 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_198] + SHUFFLE [RS_196] PartitionCols:_col1 - Select Operator [SEL_196] (rows=317 width=8) + Select Operator [SEL_194] (rows=317 width=8) Output:["_col1"] - Filter Operator [FIL_194] (rows=317 width=8) + Filter Operator [FIL_192] (rows=317 width=8) predicate:(d_month_seq BETWEEN 1185 AND 1196 and d_week_seq is not null) Please refer to the previous TableScan [TS_15] <-Reducer 3 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_193] + SHUFFLE [RS_191] PartitionCols:_col0 - Group By Operator [GBY_192] (rows=1196832 width=791) + Group By Operator [GBY_190] (rows=1196832 width=791) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)"],keys:KEY._col0, KEY._col1 <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_12] @@ -222,5 +222,5 @@ Stage-0 Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)","sum(_col5)","sum(_col6)","sum(_col7)","sum(_col8)"],keys:_col0, _col1 Select Operator [SEL_9] (rows=525329897 width=205) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] - Please refer to the previous Merge Join Operator [MERGEJOIN_179] + Please refer to the previous Merge Join Operator [MERGEJOIN_177] http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/query95.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query95.q.out b/ql/src/test/results/clientpositive/perf/tez/query95.q.out index a88c534..49e8e86 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query95.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query95.q.out @@ -104,123 +104,123 @@ Stage-0 limit:-1 Stage-1 Reducer 9 vectorized - File Output Operator [FS_296] - Limit [LIM_295] (rows=1 width=240) + File Output Operator [FS_302] + Limit [LIM_301] (rows=1 width=240) Number of rows:100 - Select Operator [SEL_294] (rows=1 width=240) + Select Operator [SEL_300] (rows=1 width=240) Output:["_col0","_col1","_col2"] <-Reducer 8 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_293] - Select Operator [SEL_292] (rows=1 width=240) + SHUFFLE [RS_299] + Select Operator [SEL_298] (rows=1 width=240) Output:["_col1","_col2","_col3"] - Group By Operator [GBY_291] (rows=1 width=232) + Group By Operator [GBY_297] (rows=1 width=232) Output:["_col0","_col1","_col2"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"] <-Reducer 7 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_290] - Group By Operator [GBY_289] (rows=1 width=232) + PARTITION_ONLY_SHUFFLE [RS_296] + Group By Operator [GBY_295] (rows=1 width=232) Output:["_col0","_col1","_col2"],aggregations:["count(_col0)","sum(_col1)","sum(_col2)"] - Group By Operator [GBY_288] (rows=2511437 width=228) + Group By Operator [GBY_294] (rows=2511437 width=228) Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0 <-Reducer 6 [SIMPLE_EDGE] SHUFFLE [RS_115] PartitionCols:_col0 Group By Operator [GBY_114] (rows=2511437 width=228) Output:["_col0","_col2","_col3"],aggregations:["sum(_col4)","sum(_col5)"],keys:_col3 - Merge Join Operator [MERGEJOIN_235] (rows=5022875 width=227) - Conds:RS_61._col3=RS_287._col0(Inner),Output:["_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_241] (rows=5022875 width=227) + Conds:RS_61._col3=RS_293._col0(Inner),Output:["_col3","_col4","_col5"] <-Reducer 5 [ONE_TO_ONE_EDGE] FORWARD [RS_61] PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_234] (rows=5022875 width=227) - Conds:RS_58._col3=RS_273._col0(Inner),Output:["_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_240] (rows=5022875 width=227) + Conds:RS_58._col3=RS_279._col0(Inner),Output:["_col3","_col4","_col5"] <-Reducer 4 [SIMPLE_EDGE] SHUFFLE [RS_58] PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_230] (rows=5022875 width=227) - Conds:RS_55._col2=RS_254._col0(Inner),Output:["_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_236] (rows=5022875 width=227) + Conds:RS_55._col2=RS_260._col0(Inner),Output:["_col3","_col4","_col5"] <-Map 16 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_254] + SHUFFLE [RS_260] PartitionCols:_col0 - Select Operator [SEL_253] (rows=12 width=91) + Select Operator [SEL_259] (rows=12 width=91) Output:["_col0"] - Filter Operator [FIL_252] (rows=12 width=92) + Filter Operator [FIL_258] (rows=12 width=92) predicate:((web_company_name = 'pri') and web_site_sk is not null) TableScan [TS_9] (rows=84 width=92) default@web_site,web_site,Tbl:COMPLETE,Col:COMPLETE,Output:["web_site_sk","web_company_name"] <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_55] PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_229] (rows=15673790 width=231) - Conds:RS_52._col1=RS_246._col0(Inner),Output:["_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_235] (rows=15673790 width=231) + Conds:RS_52._col1=RS_252._col0(Inner),Output:["_col2","_col3","_col4","_col5"] <-Map 14 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_246] + SHUFFLE [RS_252] PartitionCols:_col0 - Select Operator [SEL_245] (rows=784314 width=90) + Select Operator [SEL_251] (rows=784314 width=90) Output:["_col0"] - Filter Operator [FIL_244] (rows=784314 width=90) + Filter Operator [FIL_250] (rows=784314 width=90) predicate:((ca_state = 'TX') and ca_address_sk is not null) TableScan [TS_6] (rows=40000000 width=90) default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_state"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_52] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_228] (rows=15987241 width=235) - Conds:RS_262._col0=RS_238._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_234] (rows=15987241 width=235) + Conds:RS_268._col0=RS_244._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] <-Map 12 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_238] + SHUFFLE [RS_244] PartitionCols:_col0 - Select Operator [SEL_237] (rows=8116 width=98) + Select Operator [SEL_243] (rows=8116 width=98) Output:["_col0"] - Filter Operator [FIL_236] (rows=8116 width=98) + Filter Operator [FIL_242] (rows=8116 width=98) predicate:(CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1999-05-01 00:00:00' AND TIMESTAMP'1999-06-30 00:00:00' and d_date_sk is not null) TableScan [TS_3] (rows=73049 width=98) default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_date"] <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_262] + SHUFFLE [RS_268] PartitionCols:_col0 - Select Operator [SEL_261] (rows=143895019 width=239) + Select Operator [SEL_267] (rows=143895019 width=239) Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_260] (rows=143895019 width=239) + Filter Operator [FIL_266] (rows=143895019 width=239) predicate:((ws_ship_addr_sk BETWEEN DynamicValue(RS_53_customer_address_ca_address_sk_min) AND DynamicValue(RS_53_customer_address_ca_address_sk_max) and in_bloom_filter(ws_ship_addr_sk, DynamicValue(RS_53_customer_address_ca_address_sk_bloom_filter))) and (ws_ship_date_sk BETWEEN DynamicValue(RS_50_date_dim_d_date_sk_min) AND DynamicValue(RS_50_date_dim_d_date_sk_max) and in_bloom_filter(ws_ship_date_sk, DynamicValue(RS_50_date_dim_d_date_sk_bloom_filter))) and (ws_web_site_sk BETWEEN DynamicValue(RS_56_web_site_web_site_sk_min) AND DynamicValue(RS_56_web_site_web_site_sk_max) and in_bloom_filter(ws_web_site_sk, DynamicValue(RS_56_web_site_web_site_sk_bloom_filter))) and ws_order_number is not null and ws_ship_addr_sk is not null and ws_ship_date_sk is not null and ws_web_site_sk is not null) TableScan [TS_0] (rows=144002668 width=239) default@web_sales,ws1,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_ship_date_sk","ws_ship_addr_sk","ws_web_site_sk","ws_order_number","ws_ext_ship_cost","ws_net_profit"] <-Reducer 13 [BROADCAST_EDGE] vectorized - BROADCAST [RS_243] - Group By Operator [GBY_242] (rows=1 width=12) + BROADCAST [RS_249] + Group By Operator [GBY_248] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Map 12 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_241] - Group By Operator [GBY_240] (rows=1 width=12) + SHUFFLE [RS_247] + Group By Operator [GBY_246] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_239] (rows=8116 width=4) + Select Operator [SEL_245] (rows=8116 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_237] + Please refer to the previous Select Operator [SEL_243] <-Reducer 15 [BROADCAST_EDGE] vectorized - BROADCAST [RS_251] - Group By Operator [GBY_250] (rows=1 width=12) + BROADCAST [RS_257] + Group By Operator [GBY_256] (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 - SHUFFLE [RS_249] - Group By Operator [GBY_248] (rows=1 width=12) + SHUFFLE [RS_255] + Group By Operator [GBY_254] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_247] (rows=784314 width=4) + Select Operator [SEL_253] (rows=784314 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_245] + Please refer to the previous Select Operator [SEL_251] <-Reducer 17 [BROADCAST_EDGE] vectorized - BROADCAST [RS_259] - Group By Operator [GBY_258] (rows=1 width=12) + BROADCAST [RS_265] + Group By Operator [GBY_264] (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_257] - Group By Operator [GBY_256] (rows=1 width=12) + SHUFFLE [RS_263] + Group By Operator [GBY_262] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_255] (rows=12 width=4) + Select Operator [SEL_261] (rows=12 width=4) Output:["_col0"] - Please refer to the previous Select Operator [SEL_253] + Please refer to the previous Select Operator [SEL_259] <-Reducer 20 [ONE_TO_ONE_EDGE] vectorized - FORWARD [RS_273] + FORWARD [RS_279] PartitionCols:_col0 - Group By Operator [GBY_272] (rows=14686712 width=4) + Group By Operator [GBY_278] (rows=14686712 width=4) Output:["_col0"],keys:KEY._col0 <-Reducer 19 [SIMPLE_EDGE] SHUFFLE [RS_24] @@ -231,58 +231,58 @@ Stage-0 Output:["_col1"] Filter Operator [FIL_21] (rows=1411940834 width=11) predicate:(_col0 <> _col2) - Merge Join Operator [MERGEJOIN_231] (rows=1411940834 width=11) - Conds:RS_268._col1=RS_271._col1(Inner),Output:["_col0","_col1","_col2"] + Merge Join Operator [MERGEJOIN_237] (rows=1411940834 width=11) + Conds:RS_274._col1=RS_277._col1(Inner),Output:["_col0","_col1","_col2"] <-Map 18 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_268] + SHUFFLE [RS_274] PartitionCols:_col1 - Select Operator [SEL_267] (rows=144002668 width=7) + Select Operator [SEL_273] (rows=144002668 width=7) Output:["_col0","_col1"] - Filter Operator [FIL_266] (rows=144002668 width=7) + Filter Operator [FIL_272] (rows=144002668 width=7) predicate:((ws_order_number BETWEEN DynamicValue(RS_58_ws1_ws_order_number_min) AND DynamicValue(RS_58_ws1_ws_order_number_max) and in_bloom_filter(ws_order_number, DynamicValue(RS_58_ws1_ws_order_number_bloom_filter))) and ws_order_number is not null) TableScan [TS_12] (rows=144002668 width=7) default@web_sales,ws1,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_warehouse_sk","ws_order_number"] <-Reducer 11 [BROADCAST_EDGE] vectorized - BROADCAST [RS_264] - Group By Operator [GBY_263] (rows=1 width=12) + BROADCAST [RS_270] + Group By Operator [GBY_269] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Reducer 4 [CUSTOM_SIMPLE_EDGE] - SHUFFLE [RS_183] - Group By Operator [GBY_182] (rows=1 width=12) + SHUFFLE [RS_193] + Group By Operator [GBY_192] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_181] (rows=5022875 width=8) + Select Operator [SEL_191] (rows=5022875 width=8) Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_230] + Please refer to the previous Merge Join Operator [MERGEJOIN_236] <-Map 21 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_271] + SHUFFLE [RS_277] PartitionCols:_col1 - Select Operator [SEL_270] (rows=144002668 width=7) + Select Operator [SEL_276] (rows=144002668 width=7) Output:["_col0","_col1"] - Filter Operator [FIL_269] (rows=144002668 width=7) + Filter Operator [FIL_275] (rows=144002668 width=7) predicate:((ws_order_number BETWEEN DynamicValue(RS_58_ws1_ws_order_number_min) AND DynamicValue(RS_58_ws1_ws_order_number_max) and in_bloom_filter(ws_order_number, DynamicValue(RS_58_ws1_ws_order_number_bloom_filter))) and ws_order_number is not null) TableScan [TS_15] (rows=144002668 width=7) default@web_sales,ws2,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_warehouse_sk","ws_order_number"] <-Reducer 11 [BROADCAST_EDGE] vectorized - BROADCAST [RS_265] - Please refer to the previous Group By Operator [GBY_263] + BROADCAST [RS_271] + Please refer to the previous Group By Operator [GBY_269] <-Reducer 25 [ONE_TO_ONE_EDGE] vectorized - FORWARD [RS_287] + FORWARD [RS_293] PartitionCols:_col0 - Group By Operator [GBY_286] (rows=8007986 width=4) + Group By Operator [GBY_292] (rows=8007986 width=4) Output:["_col0"],keys:KEY._col0 <-Reducer 24 [SIMPLE_EDGE] SHUFFLE [RS_46] PartitionCols:_col0 Group By Operator [GBY_45] (rows=14398467 width=4) Output:["_col0"],keys:_col14 - Merge Join Operator [MERGEJOIN_233] (rows=1384229738 width=4) - Conds:RS_41._col0=RS_285._col13(Inner),Output:["_col14"] + Merge Join Operator [MERGEJOIN_239] (rows=1384229738 width=4) + Conds:RS_41._col0=RS_291._col13(Inner),Output:["_col14"] <-Map 27 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_285] + SHUFFLE [RS_291] PartitionCols:_col13 - Select Operator [SEL_284] (rows=14398467 width=272) + Select Operator [SEL_290] (rows=14398467 width=272) Output:["_col13"] - Filter Operator [FIL_283] (rows=14398467 width=4) + Filter Operator [FIL_289] (rows=14398467 width=4) predicate:wr_order_number is not null TableScan [TS_38] (rows=14398467 width=4) default@web_returns,web_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["wr_order_number"] @@ -293,38 +293,38 @@ Stage-0 Output:["_col0"] Filter Operator [FIL_36] (rows=1411940834 width=11) predicate:(_col0 <> _col2) - Merge Join Operator [MERGEJOIN_232] (rows=1411940834 width=11) - Conds:RS_279._col1=RS_282._col1(Inner),Output:["_col0","_col1","_col2"] + Merge Join Operator [MERGEJOIN_238] (rows=1411940834 width=11) + Conds:RS_285._col1=RS_288._col1(Inner),Output:["_col0","_col1","_col2"] <-Map 22 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_279] + SHUFFLE [RS_285] PartitionCols:_col1 - Select Operator [SEL_278] (rows=144002668 width=7) + Select Operator [SEL_284] (rows=144002668 width=7) Output:["_col0","_col1"] - Filter Operator [FIL_277] (rows=144002668 width=7) + Filter Operator [FIL_283] (rows=144002668 width=7) predicate:((ws_order_number BETWEEN DynamicValue(RS_61_ws1_ws_order_number_min) AND DynamicValue(RS_61_ws1_ws_order_number_max) and in_bloom_filter(ws_order_number, DynamicValue(RS_61_ws1_ws_order_number_bloom_filter))) and ws_order_number is not null) TableScan [TS_27] (rows=144002668 width=7) default@web_sales,ws1,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_warehouse_sk","ws_order_number"] <-Reducer 10 [BROADCAST_EDGE] vectorized - BROADCAST [RS_275] - Group By Operator [GBY_274] (rows=1 width=12) + BROADCAST [RS_281] + Group By Operator [GBY_280] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] <-Reducer 5 [CUSTOM_SIMPLE_EDGE] - FORWARD [RS_202] - Group By Operator [GBY_201] (rows=1 width=12) + FORWARD [RS_212] + Group By Operator [GBY_211] (rows=1 width=12) Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_200] (rows=5022875 width=8) + Select Operator [SEL_210] (rows=5022875 width=8) Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_234] + Please refer to the previous Merge Join Operator [MERGEJOIN_240] <-Map 26 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_282] + SHUFFLE [RS_288] PartitionCols:_col1 - Select Operator [SEL_281] (rows=144002668 width=7) + Select Operator [SEL_287] (rows=144002668 width=7) Output:["_col0","_col1"] - Filter Operator [FIL_280] (rows=144002668 width=7) + Filter Operator [FIL_286] (rows=144002668 width=7) predicate:((ws_order_number BETWEEN DynamicValue(RS_61_ws1_ws_order_number_min) AND DynamicValue(RS_61_ws1_ws_order_number_max) and in_bloom_filter(ws_order_number, DynamicValue(RS_61_ws1_ws_order_number_bloom_filter))) and ws_order_number is not null) TableScan [TS_30] (rows=144002668 width=7) default@web_sales,ws2,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_warehouse_sk","ws_order_number"] <-Reducer 10 [BROADCAST_EDGE] vectorized - BROADCAST [RS_276] - Please refer to the previous Group By Operator [GBY_274] + BROADCAST [RS_282] + Please refer to the previous Group By Operator [GBY_280]
