http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query5.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query5.q.out b/ql/src/test/results/clientpositive/perf/tez/query5.q.out index 6b054f0..e554dd4 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query5.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query5.q.out @@ -287,287 +287,293 @@ Stage-0 limit:100 Stage-1 Reducer 8 vectorized - File Output Operator [FS_304] - Limit [LIM_303] (rows=100 width=110) + File Output Operator [FS_309] + Limit [LIM_308] (rows=100 width=110) Number of rows:100 - Select Operator [SEL_302] (rows=1136898901 width=110) + Select Operator [SEL_307] (rows=1136898901 width=110) Output:["_col0","_col1","_col2","_col3","_col4"] <-Reducer 7 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_301] - Select Operator [SEL_300] (rows=1136898901 width=110) + SHUFFLE [RS_306] + Select Operator [SEL_305] (rows=1136898901 width=110) Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_299] (rows=1136898901 width=110) + Group By Operator [GBY_304] (rows=1136898901 width=110) Output:["_col0","_col1","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"],keys:KEY._col0, KEY._col1, KEY._col2 <-Union 6 [SIMPLE_EDGE] <-Reducer 14 [CONTAINS] vectorized - Reduce Output Operator [RS_317] + Reduce Output Operator [RS_323] PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_316] (rows=2273797803 width=110) + Group By Operator [GBY_322] (rows=2273797803 width=110) Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)"],keys:_col0, _col1, 0L - Select Operator [SEL_315] (rows=191657181 width=132) - Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_314] (rows=191657181 width=132) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)"],keys:KEY._col0 - <-Reducer 13 [SIMPLE_EDGE] - SHUFFLE [RS_47] - PartitionCols:_col0 - Group By Operator [GBY_46] (rows=383314363 width=132) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col2)","sum(_col4)","sum(_col3)","sum(_col5)"],keys:_col9 - Merge Join Operator [MERGEJOIN_221] (rows=383314363 width=132) - Conds:RS_42._col0=RS_310._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col9"] - <-Map 25 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_310] - PartitionCols:_col0 - Select Operator [SEL_309] (rows=46000 width=460) - Output:["_col0","_col1"] - Filter Operator [FIL_308] (rows=46000 width=460) - predicate:cp_catalog_page_sk is not null - TableScan [TS_36] (rows=46000 width=460) - default@catalog_page,catalog_page,Tbl:COMPLETE,Col:NONE,Output:["cp_catalog_page_sk","cp_catalog_page_id"] - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_42] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_220] (rows=348467596 width=132) - Conds:Union 23._col1=RS_272._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5"] - <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_272] - PartitionCols:_col0 - Select Operator [SEL_269] (rows=8116 width=1119) - Output:["_col0"] - Filter Operator [FIL_268] (rows=8116 width=1119) - predicate:(CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-08-18 00:00:00' and d_date_sk is not null) - TableScan [TS_8] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date"] - <-Union 23 [SIMPLE_EDGE] - <-Map 22 [CONTAINS] vectorized - Reduce Output Operator [RS_334] - PartitionCols:_col1 - Select Operator [SEL_333] (rows=287989836 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_332] (rows=287989836 width=135) - predicate:((cs_catalog_page_sk BETWEEN DynamicValue(RS_43_catalog_page_cp_catalog_page_sk_min) AND DynamicValue(RS_43_catalog_page_cp_catalog_page_sk_max) and in_bloom_filter(cs_catalog_page_sk, DynamicValue(RS_43_catalog_page_cp_catalog_page_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_40_date_dim_d_date_sk_min) AND DynamicValue(RS_40_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_40_date_dim_d_date_sk_bloom_filter))) and cs_catalog_page_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_249] (rows=287989836 width=135) - Output:["cs_sold_date_sk","cs_catalog_page_sk","cs_ext_sales_price","cs_net_profit"] - <-Reducer 15 [BROADCAST_EDGE] vectorized - BROADCAST [RS_329] - Group By Operator [GBY_328] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 10 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_280] - Group By Operator [GBY_277] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_273] (rows=8116 width=1119) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_269] - <-Reducer 26 [BROADCAST_EDGE] vectorized - BROADCAST [RS_331] - Group By Operator [GBY_330] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_313] - 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_311] (rows=46000 width=460) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_309] - <-Map 24 [CONTAINS] vectorized - Reduce Output Operator [RS_337] - PartitionCols:_col1 - Select Operator [SEL_336] (rows=28798881 width=106) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_335] (rows=28798881 width=106) - predicate:(cr_catalog_page_sk is not null and cr_returned_date_sk is not null) - TableScan [TS_254] (rows=28798881 width=106) - Output:["cr_returned_date_sk","cr_catalog_page_sk","cr_return_amount","cr_net_loss"] + Top N Key Operator [TNK_321] (rows=757932601 width=110) + keys:_col0, _col1, 0L,sort order:+++,top n:100 + Select Operator [SEL_320] (rows=191657181 width=132) + Output:["_col0","_col1","_col2","_col3","_col4"] + Group By Operator [GBY_319] (rows=191657181 width=132) + Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)"],keys:KEY._col0 + <-Reducer 13 [SIMPLE_EDGE] + SHUFFLE [RS_47] + PartitionCols:_col0 + Group By Operator [GBY_46] (rows=383314363 width=132) + Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col2)","sum(_col4)","sum(_col3)","sum(_col5)"],keys:_col9 + Merge Join Operator [MERGEJOIN_222] (rows=383314363 width=132) + Conds:RS_42._col0=RS_315._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col9"] + <-Map 25 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_315] + PartitionCols:_col0 + Select Operator [SEL_314] (rows=46000 width=460) + Output:["_col0","_col1"] + Filter Operator [FIL_313] (rows=46000 width=460) + predicate:cp_catalog_page_sk is not null + TableScan [TS_36] (rows=46000 width=460) + default@catalog_page,catalog_page,Tbl:COMPLETE,Col:NONE,Output:["cp_catalog_page_sk","cp_catalog_page_id"] + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_42] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_221] (rows=348467596 width=132) + Conds:Union 23._col1=RS_276._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5"] + <-Map 10 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_276] + PartitionCols:_col0 + Select Operator [SEL_273] (rows=8116 width=1119) + Output:["_col0"] + Filter Operator [FIL_272] (rows=8116 width=1119) + predicate:(CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-08-04 00:00:00' AND TIMESTAMP'1998-08-18 00:00:00' and d_date_sk is not null) + TableScan [TS_8] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date"] + <-Union 23 [SIMPLE_EDGE] + <-Map 22 [CONTAINS] vectorized + Reduce Output Operator [RS_341] + PartitionCols:_col1 + Select Operator [SEL_340] (rows=287989836 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_339] (rows=287989836 width=135) + predicate:((cs_catalog_page_sk BETWEEN DynamicValue(RS_43_catalog_page_cp_catalog_page_sk_min) AND DynamicValue(RS_43_catalog_page_cp_catalog_page_sk_max) and in_bloom_filter(cs_catalog_page_sk, DynamicValue(RS_43_catalog_page_cp_catalog_page_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_40_date_dim_d_date_sk_min) AND DynamicValue(RS_40_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_40_date_dim_d_date_sk_bloom_filter))) and cs_catalog_page_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_253] (rows=287989836 width=135) + Output:["cs_sold_date_sk","cs_catalog_page_sk","cs_ext_sales_price","cs_net_profit"] + <-Reducer 15 [BROADCAST_EDGE] vectorized + BROADCAST [RS_336] + Group By Operator [GBY_335] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 10 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_284] + Group By Operator [GBY_281] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_277] (rows=8116 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_273] + <-Reducer 26 [BROADCAST_EDGE] vectorized + BROADCAST [RS_338] + Group By Operator [GBY_337] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_318] + Group By Operator [GBY_317] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_316] (rows=46000 width=460) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_314] + <-Map 24 [CONTAINS] vectorized + Reduce Output Operator [RS_344] + PartitionCols:_col1 + Select Operator [SEL_343] (rows=28798881 width=106) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_342] (rows=28798881 width=106) + predicate:(cr_catalog_page_sk is not null and cr_returned_date_sk is not null) + TableScan [TS_258] (rows=28798881 width=106) + Output:["cr_returned_date_sk","cr_catalog_page_sk","cr_return_amount","cr_net_loss"] <-Reducer 18 [CONTAINS] vectorized - Reduce Output Operator [RS_327] + Reduce Output Operator [RS_334] PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_326] (rows=2273797803 width=110) + Group By Operator [GBY_333] (rows=2273797803 width=110) Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)"],keys:_col0, _col1, 0L - Select Operator [SEL_325] (rows=182955399 width=135) - Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_324] (rows=182955399 width=135) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)"],keys:KEY._col0 - <-Reducer 17 [SIMPLE_EDGE] - SHUFFLE [RS_80] - PartitionCols:_col0 - Group By Operator [GBY_79] (rows=365910798 width=135) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col2)","sum(_col4)","sum(_col3)","sum(_col5)"],keys:_col9 - Merge Join Operator [MERGEJOIN_223] (rows=365910798 width=135) - Conds:RS_75._col0=RS_320._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col9"] - <-Map 34 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_320] - PartitionCols:_col0 - Select Operator [SEL_319] (rows=84 width=1850) - Output:["_col0","_col1"] - Filter Operator [FIL_318] (rows=84 width=1850) - predicate:web_site_sk is not null - TableScan [TS_69] (rows=84 width=1850) - default@web_site,web_site,Tbl:COMPLETE,Col:NONE,Output:["web_site_sk","web_site_id"] - <-Reducer 16 [SIMPLE_EDGE] - SHUFFLE [RS_75] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_222] (rows=332646173 width=135) - Conds:Union 28._col1=RS_274._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5"] - <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_274] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_269] - <-Union 28 [SIMPLE_EDGE] - <-Map 27 [CONTAINS] vectorized - Reduce Output Operator [RS_345] - PartitionCols:_col1 - Select Operator [SEL_344] (rows=144002668 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_343] (rows=144002668 width=135) - predicate:((ws_sold_date_sk BETWEEN DynamicValue(RS_73_date_dim_d_date_sk_min) AND DynamicValue(RS_73_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_73_date_dim_d_date_sk_bloom_filter))) and (ws_web_site_sk BETWEEN DynamicValue(RS_76_web_site_web_site_sk_min) AND DynamicValue(RS_76_web_site_web_site_sk_max) and in_bloom_filter(ws_web_site_sk, DynamicValue(RS_76_web_site_web_site_sk_bloom_filter))) and ws_sold_date_sk is not null and ws_web_site_sk is not null) - TableScan [TS_259] (rows=144002668 width=135) - Output:["ws_sold_date_sk","ws_web_site_sk","ws_ext_sales_price","ws_net_profit"] - <-Reducer 35 [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)"] - <-Map 34 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_323] - Group By Operator [GBY_322] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_321] (rows=84 width=1850) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_319] - <-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=1000000)"] - <-Map 10 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_281] - Group By Operator [GBY_278] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_275] (rows=8116 width=1119) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_269] - <-Reducer 30 [CONTAINS] - Reduce Output Operator [RS_267] - PartitionCols:_col1 - Select Operator [SEL_265] (rows=158402938 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Merge Join Operator [MERGEJOIN_264] (rows=158402938 width=135) - Conds:RS_361._col0, _col2=RS_348._col1, _col2(Inner),Output:["_col1","_col3","_col6","_col7"] - <-Map 31 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_348] - PartitionCols:_col1, _col2 - Select Operator [SEL_347] (rows=14398467 width=92) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_346] (rows=14398467 width=92) - predicate:(wr_item_sk is not null and wr_order_number is not null and wr_returned_date_sk is not null) - TableScan [TS_57] (rows=14398467 width=92) - default@web_returns,web_returns,Tbl:COMPLETE,Col:NONE,Output:["wr_returned_date_sk","wr_item_sk","wr_order_number","wr_return_amt","wr_net_loss"] - <-Map 29 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_361] - PartitionCols:_col0, _col2 - Select Operator [SEL_360] (rows=144002668 width=135) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_359] (rows=144002668 width=135) - predicate:((ws_item_sk BETWEEN DynamicValue(RS_61_web_returns_wr_item_sk_min) AND DynamicValue(RS_61_web_returns_wr_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_61_web_returns_wr_item_sk_bloom_filter))) and (ws_order_number BETWEEN DynamicValue(RS_61_web_returns_wr_order_number_min) AND DynamicValue(RS_61_web_returns_wr_order_number_max) and in_bloom_filter(ws_order_number, DynamicValue(RS_61_web_returns_wr_order_number_bloom_filter))) and (ws_web_site_sk BETWEEN DynamicValue(RS_76_web_site_web_site_sk_min) AND DynamicValue(RS_76_web_site_web_site_sk_max) and in_bloom_filter(ws_web_site_sk, DynamicValue(RS_76_web_site_web_site_sk_bloom_filter))) and ws_item_sk is not null and ws_order_number is not null and ws_web_site_sk is not null) - TableScan [TS_54] (rows=144002668 width=135) - default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_item_sk","ws_web_site_sk","ws_order_number"] - <-Reducer 35 [BROADCAST_EDGE] vectorized - BROADCAST [RS_342] - Please refer to the previous Group By Operator [GBY_340] - <-Reducer 32 [BROADCAST_EDGE] vectorized - BROADCAST [RS_356] - Group By Operator [GBY_355] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=14398467)"] - <-Map 31 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_353] - Group By Operator [GBY_351] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=14398467)"] - Select Operator [SEL_349] (rows=14398467 width=92) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_347] - <-Reducer 33 [BROADCAST_EDGE] vectorized - BROADCAST [RS_358] - Group By Operator [GBY_357] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=14398467)"] - <-Map 31 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_354] - Group By Operator [GBY_352] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=14398467)"] - Select Operator [SEL_350] (rows=14398467 width=92) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_347] + Top N Key Operator [TNK_332] (rows=757932601 width=110) + keys:_col0, _col1, 0L,sort order:+++,top n:100 + Select Operator [SEL_331] (rows=182955399 width=135) + Output:["_col0","_col1","_col2","_col3","_col4"] + Group By Operator [GBY_330] (rows=182955399 width=135) + Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)"],keys:KEY._col0 + <-Reducer 17 [SIMPLE_EDGE] + SHUFFLE [RS_80] + PartitionCols:_col0 + Group By Operator [GBY_79] (rows=365910798 width=135) + Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col2)","sum(_col4)","sum(_col3)","sum(_col5)"],keys:_col9 + Merge Join Operator [MERGEJOIN_224] (rows=365910798 width=135) + Conds:RS_75._col0=RS_326._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col9"] + <-Map 34 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_326] + PartitionCols:_col0 + Select Operator [SEL_325] (rows=84 width=1850) + Output:["_col0","_col1"] + Filter Operator [FIL_324] (rows=84 width=1850) + predicate:web_site_sk is not null + TableScan [TS_69] (rows=84 width=1850) + default@web_site,web_site,Tbl:COMPLETE,Col:NONE,Output:["web_site_sk","web_site_id"] + <-Reducer 16 [SIMPLE_EDGE] + SHUFFLE [RS_75] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_223] (rows=332646173 width=135) + Conds:Union 28._col1=RS_278._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5"] + <-Map 10 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_278] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_273] + <-Union 28 [SIMPLE_EDGE] + <-Map 27 [CONTAINS] vectorized + Reduce Output Operator [RS_352] + PartitionCols:_col1 + Select Operator [SEL_351] (rows=144002668 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_350] (rows=144002668 width=135) + predicate:((ws_sold_date_sk BETWEEN DynamicValue(RS_73_date_dim_d_date_sk_min) AND DynamicValue(RS_73_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_73_date_dim_d_date_sk_bloom_filter))) and (ws_web_site_sk BETWEEN DynamicValue(RS_76_web_site_web_site_sk_min) AND DynamicValue(RS_76_web_site_web_site_sk_max) and in_bloom_filter(ws_web_site_sk, DynamicValue(RS_76_web_site_web_site_sk_bloom_filter))) and ws_sold_date_sk is not null and ws_web_site_sk is not null) + TableScan [TS_263] (rows=144002668 width=135) + Output:["ws_sold_date_sk","ws_web_site_sk","ws_ext_sales_price","ws_net_profit"] + <-Reducer 35 [BROADCAST_EDGE] vectorized + 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=1000000)"] + <-Map 34 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_329] + Group By Operator [GBY_328] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_327] (rows=84 width=1850) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_325] + <-Reducer 19 [BROADCAST_EDGE] vectorized + 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=1000000)"] + <-Map 10 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_285] + Group By Operator [GBY_282] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_279] (rows=8116 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_273] + <-Reducer 30 [CONTAINS] + Reduce Output Operator [RS_271] + PartitionCols:_col1 + Select Operator [SEL_269] (rows=158402938 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_268] (rows=158402938 width=135) + Conds:RS_368._col0, _col2=RS_355._col1, _col2(Inner),Output:["_col1","_col3","_col6","_col7"] + <-Map 31 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_355] + PartitionCols:_col1, _col2 + Select Operator [SEL_354] (rows=14398467 width=92) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_353] (rows=14398467 width=92) + predicate:(wr_item_sk is not null and wr_order_number is not null and wr_returned_date_sk is not null) + TableScan [TS_57] (rows=14398467 width=92) + default@web_returns,web_returns,Tbl:COMPLETE,Col:NONE,Output:["wr_returned_date_sk","wr_item_sk","wr_order_number","wr_return_amt","wr_net_loss"] + <-Map 29 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_368] + PartitionCols:_col0, _col2 + Select Operator [SEL_367] (rows=144002668 width=135) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_366] (rows=144002668 width=135) + predicate:((ws_item_sk BETWEEN DynamicValue(RS_61_web_returns_wr_item_sk_min) AND DynamicValue(RS_61_web_returns_wr_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_61_web_returns_wr_item_sk_bloom_filter))) and (ws_order_number BETWEEN DynamicValue(RS_61_web_returns_wr_order_number_min) AND DynamicValue(RS_61_web_returns_wr_order_number_max) and in_bloom_filter(ws_order_number, DynamicValue(RS_61_web_returns_wr_order_number_bloom_filter))) and (ws_web_site_sk BETWEEN DynamicValue(RS_76_web_site_web_site_sk_min) AND DynamicValue(RS_76_web_site_web_site_sk_max) and in_bloom_filter(ws_web_site_sk, DynamicValue(RS_76_web_site_web_site_sk_bloom_filter))) and ws_item_sk is not null and ws_order_number is not null and ws_web_site_sk is not null) + TableScan [TS_54] (rows=144002668 width=135) + default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_item_sk","ws_web_site_sk","ws_order_number"] + <-Reducer 35 [BROADCAST_EDGE] vectorized + BROADCAST [RS_349] + Please refer to the previous Group By Operator [GBY_347] + <-Reducer 32 [BROADCAST_EDGE] vectorized + BROADCAST [RS_363] + Group By Operator [GBY_362] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=14398467)"] + <-Map 31 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_360] + Group By Operator [GBY_358] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=14398467)"] + Select Operator [SEL_356] (rows=14398467 width=92) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_354] + <-Reducer 33 [BROADCAST_EDGE] vectorized + BROADCAST [RS_365] + Group By Operator [GBY_364] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=14398467)"] + <-Map 31 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_361] + Group By Operator [GBY_359] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=14398467)"] + Select Operator [SEL_357] (rows=14398467 width=92) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_354] <-Reducer 5 [CONTAINS] vectorized - Reduce Output Operator [RS_298] + Reduce Output Operator [RS_303] PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_297] (rows=2273797803 width=110) + Group By Operator [GBY_302] (rows=2273797803 width=110) Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)"],keys:_col0, _col1, 0L - Select Operator [SEL_296] (rows=383320021 width=87) - Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_295] (rows=383320021 width=87) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)"],keys:KEY._col0 - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_22] - PartitionCols:_col0 - Group By Operator [GBY_21] (rows=766640042 width=87) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col2)","sum(_col4)","sum(_col3)","sum(_col5)"],keys:_col9 - Merge Join Operator [MERGEJOIN_219] (rows=766640042 width=87) - Conds:RS_17._col0=RS_286._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col9"] - <-Map 20 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_286] - PartitionCols:_col0 - Select Operator [SEL_285] (rows=1704 width=1910) - Output:["_col0","_col1"] - Filter Operator [FIL_284] (rows=1704 width=1910) - predicate:s_store_sk is not null - TableScan [TS_11] (rows=1704 width=1910) - default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_17] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_218] (rows=696945478 width=87) - Conds:Union 2._col1=RS_270._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5"] - <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_270] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_269] - <-Union 2 [SIMPLE_EDGE] - <-Map 1 [CONTAINS] vectorized - Reduce Output Operator [RS_294] - PartitionCols:_col1 - Select Operator [SEL_293] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_292] (rows=575995635 width=88) - predicate:((ss_sold_date_sk BETWEEN DynamicValue(RS_15_date_dim_d_date_sk_min) AND DynamicValue(RS_15_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_15_date_dim_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_18_store_s_store_sk_min) AND DynamicValue(RS_18_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_18_store_s_store_sk_bloom_filter))) and ss_sold_date_sk is not null and ss_store_sk is not null) - TableScan [TS_224] (rows=575995635 width=88) - Output:["ss_sold_date_sk","ss_store_sk","ss_ext_sales_price","ss_net_profit"] - <-Reducer 11 [BROADCAST_EDGE] vectorized - BROADCAST [RS_283] - Group By Operator [GBY_282] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 10 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_279] - Group By Operator [GBY_276] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_271] (rows=8116 width=1119) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_269] - <-Reducer 21 [BROADCAST_EDGE] vectorized - BROADCAST [RS_291] - Group By Operator [GBY_290] (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_289] - Group By Operator [GBY_288] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_287] (rows=1704 width=1910) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_285] - <-Map 9 [CONTAINS] vectorized - Reduce Output Operator [RS_307] - PartitionCols:_col1 - Select Operator [SEL_306] (rows=57591150 width=77) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_305] (rows=57591150 width=77) - predicate:(sr_returned_date_sk is not null and sr_store_sk is not null) - TableScan [TS_234] (rows=57591150 width=77) - Output:["sr_returned_date_sk","sr_store_sk","sr_return_amt","sr_net_loss"] + Top N Key Operator [TNK_301] (rows=757932601 width=110) + keys:_col0, _col1, 0L,sort order:+++,top n:100 + Select Operator [SEL_300] (rows=383320021 width=87) + Output:["_col0","_col1","_col2","_col3","_col4"] + Group By Operator [GBY_299] (rows=383320021 width=87) + Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)"],keys:KEY._col0 + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_22] + PartitionCols:_col0 + Group By Operator [GBY_21] (rows=766640042 width=87) + Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col2)","sum(_col4)","sum(_col3)","sum(_col5)"],keys:_col9 + Merge Join Operator [MERGEJOIN_220] (rows=766640042 width=87) + Conds:RS_17._col0=RS_290._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col9"] + <-Map 20 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_290] + PartitionCols:_col0 + Select Operator [SEL_289] (rows=1704 width=1910) + Output:["_col0","_col1"] + Filter Operator [FIL_288] (rows=1704 width=1910) + predicate:s_store_sk is not null + TableScan [TS_11] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_17] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_219] (rows=696945478 width=87) + Conds:Union 2._col1=RS_274._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5"] + <-Map 10 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_274] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_273] + <-Union 2 [SIMPLE_EDGE] + <-Map 1 [CONTAINS] vectorized + Reduce Output Operator [RS_298] + PartitionCols:_col1 + Select Operator [SEL_297] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_296] (rows=575995635 width=88) + predicate:((ss_sold_date_sk BETWEEN DynamicValue(RS_15_date_dim_d_date_sk_min) AND DynamicValue(RS_15_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_15_date_dim_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_18_store_s_store_sk_min) AND DynamicValue(RS_18_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_18_store_s_store_sk_bloom_filter))) and ss_sold_date_sk is not null and ss_store_sk is not null) + TableScan [TS_225] (rows=575995635 width=88) + Output:["ss_sold_date_sk","ss_store_sk","ss_ext_sales_price","ss_net_profit"] + <-Reducer 11 [BROADCAST_EDGE] vectorized + BROADCAST [RS_287] + Group By Operator [GBY_286] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 10 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_283] + Group By Operator [GBY_280] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_275] (rows=8116 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_273] + <-Reducer 21 [BROADCAST_EDGE] vectorized + BROADCAST [RS_295] + Group By Operator [GBY_294] (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_293] + Group By Operator [GBY_292] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_291] (rows=1704 width=1910) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_289] + <-Map 9 [CONTAINS] vectorized + Reduce Output Operator [RS_312] + PartitionCols:_col1 + Select Operator [SEL_311] (rows=57591150 width=77) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_310] (rows=57591150 width=77) + predicate:(sr_returned_date_sk is not null and sr_store_sk is not null) + TableScan [TS_236] (rows=57591150 width=77) + Output:["sr_returned_date_sk","sr_store_sk","sr_return_amt","sr_net_loss"]
http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query50.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query50.q.out b/ql/src/test/results/clientpositive/perf/tez/query50.q.out index e723140..efbae5c 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query50.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query50.q.out @@ -135,137 +135,139 @@ Stage-0 limit:100 Stage-1 Reducer 7 vectorized - File Output Operator [FS_155] - Limit [LIM_154] (rows=100 width=88) + File Output Operator [FS_156] + Limit [LIM_155] (rows=100 width=88) Number of rows:100 - Select Operator [SEL_153] (rows=383325119 width=88) + Select Operator [SEL_154] (rows=383325119 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"] <-Reducer 6 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_152] - Group By Operator [GBY_151] (rows=383325119 width=88) + SHUFFLE [RS_153] + Group By Operator [GBY_152] (rows=383325119 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6, KEY._col7, KEY._col8, KEY._col9 <-Reducer 5 [SIMPLE_EDGE] SHUFFLE [RS_30] PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 Group By Operator [GBY_29] (rows=766650239 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"],aggregations:["sum(_col10)","sum(_col11)","sum(_col12)","sum(_col13)","sum(_col14)"],keys:_col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9 - Select Operator [SEL_27] (rows=766650239 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"] - Merge Join Operator [MERGEJOIN_119] (rows=766650239 width=88) - Conds:RS_24._col10=RS_142._col0(Inner),Output:["_col0","_col7","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23"] - <-Map 15 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_142] - PartitionCols:_col0 - Select Operator [SEL_141] (rows=1704 width=1910) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"] - Filter Operator [FIL_140] (rows=1704 width=1910) - predicate:s_store_sk is not null - TableScan [TS_12] (rows=1704 width=1910) - default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_name","s_company_id","s_street_number","s_street_name","s_street_type","s_suite_number","s_city","s_county","s_state","s_zip"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_24] - PartitionCols:_col10 - Merge Join Operator [MERGEJOIN_118] (rows=696954748 width=88) - Conds:RS_21._col7=RS_134._col0(Inner),Output:["_col0","_col7","_col10"] - <-Map 13 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_134] - PartitionCols:_col0 - Select Operator [SEL_133] (rows=73049 width=1119) - Output:["_col0"] - Filter Operator [FIL_132] (rows=73049 width=1119) - predicate:d_date_sk is not null - TableScan [TS_9] (rows=73049 width=1119) - default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_21] - PartitionCols:_col7 - Merge Join Operator [MERGEJOIN_117] (rows=633595212 width=88) - Conds:RS_18._col1, _col2, _col3=RS_150._col1, _col2, _col4(Inner),Output:["_col0","_col7","_col10"] - <-Reducer 2 [SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_18] - PartitionCols:_col1, _col2, _col3 - Merge Join Operator [MERGEJOIN_116] (rows=63350266 width=77) - Conds:RS_122._col0=RS_125._col0(Inner),Output:["_col0","_col1","_col2","_col3"] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_122] - PartitionCols:_col0 - Select Operator [SEL_121] (rows=57591150 width=77) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_120] (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_0] (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"] - <-Map 11 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_125] - PartitionCols:_col0 - Select Operator [SEL_124] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_123] (rows=18262 width=1119) - predicate:((d_moy = 9) and (d_year = 2000) and d_date_sk is not null) - TableScan [TS_3] (rows=73049 width=1119) - default@date_dim,d2,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] - <-Map 12 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_150] - PartitionCols:_col1, _col2, _col4 - Select Operator [SEL_149] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_148] (rows=575995635 width=88) - predicate:((ss_customer_sk BETWEEN DynamicValue(RS_18_store_returns_sr_customer_sk_min) AND DynamicValue(RS_18_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_18_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_18_store_returns_sr_item_sk_min) AND DynamicValue(RS_18_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_18_store_returns_sr_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_22_d1_d_date_sk_min) AND DynamicValue(RS_22_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_22_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_25_store_s_store_sk_min) AND DynamicValue(RS_25_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_25_store_s_store_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_18_store_returns_sr_ticket_number_min) AND DynamicValue(RS_18_ store_returns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_18_store_returns_sr_ticket_number_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_6] (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"] - <-Reducer 10 [BROADCAST_EDGE] vectorized - BROADCAST [RS_131] - Group By Operator [GBY_130] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] - <-Reducer 2 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_93] - Group By Operator [GBY_92] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] - Select Operator [SEL_91] (rows=63350266 width=77) - Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_116] - <-Reducer 14 [BROADCAST_EDGE] vectorized - BROADCAST [RS_139] - Group By Operator [GBY_138] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 13 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_137] - Group By Operator [GBY_136] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_135] (rows=73049 width=1119) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_133] - <-Reducer 16 [BROADCAST_EDGE] vectorized - BROADCAST [RS_147] - Group By Operator [GBY_146] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_145] - Group By Operator [GBY_144] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_143] (rows=1704 width=1910) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_141] - <-Reducer 8 [BROADCAST_EDGE] vectorized - BROADCAST [RS_127] - Group By Operator [GBY_126] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] - <-Reducer 2 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_83] - Group By Operator [GBY_82] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] - Select Operator [SEL_81] (rows=63350266 width=77) - Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_116] - <-Reducer 9 [BROADCAST_EDGE] vectorized - BROADCAST [RS_129] - Group By Operator [GBY_128] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] - <-Reducer 2 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_88] - Group By Operator [GBY_87] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] - Select Operator [SEL_86] (rows=63350266 width=77) - Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_116] + Top N Key Operator [TNK_56] (rows=766650239 width=88) + keys:_col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9,sort order:++++++++++,top n:100 + Select Operator [SEL_27] (rows=766650239 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"] + Merge Join Operator [MERGEJOIN_120] (rows=766650239 width=88) + Conds:RS_24._col10=RS_143._col0(Inner),Output:["_col0","_col7","_col14","_col15","_col16","_col17","_col18","_col19","_col20","_col21","_col22","_col23"] + <-Map 15 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_143] + PartitionCols:_col0 + Select Operator [SEL_142] (rows=1704 width=1910) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"] + Filter Operator [FIL_141] (rows=1704 width=1910) + predicate:s_store_sk is not null + TableScan [TS_12] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_name","s_company_id","s_street_number","s_street_name","s_street_type","s_suite_number","s_city","s_county","s_state","s_zip"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_24] + PartitionCols:_col10 + Merge Join Operator [MERGEJOIN_119] (rows=696954748 width=88) + Conds:RS_21._col7=RS_135._col0(Inner),Output:["_col0","_col7","_col10"] + <-Map 13 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_135] + PartitionCols:_col0 + Select Operator [SEL_134] (rows=73049 width=1119) + Output:["_col0"] + Filter Operator [FIL_133] (rows=73049 width=1119) + predicate:d_date_sk is not null + TableScan [TS_9] (rows=73049 width=1119) + default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_21] + PartitionCols:_col7 + Merge Join Operator [MERGEJOIN_118] (rows=633595212 width=88) + Conds:RS_18._col1, _col2, _col3=RS_151._col1, _col2, _col4(Inner),Output:["_col0","_col7","_col10"] + <-Reducer 2 [SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_18] + PartitionCols:_col1, _col2, _col3 + Merge Join Operator [MERGEJOIN_117] (rows=63350266 width=77) + Conds:RS_123._col0=RS_126._col0(Inner),Output:["_col0","_col1","_col2","_col3"] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_123] + PartitionCols:_col0 + Select Operator [SEL_122] (rows=57591150 width=77) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_121] (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_0] (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"] + <-Map 11 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_126] + PartitionCols:_col0 + Select Operator [SEL_125] (rows=18262 width=1119) + Output:["_col0"] + Filter Operator [FIL_124] (rows=18262 width=1119) + predicate:((d_moy = 9) and (d_year = 2000) and d_date_sk is not null) + TableScan [TS_3] (rows=73049 width=1119) + default@date_dim,d2,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] + <-Map 12 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_151] + PartitionCols:_col1, _col2, _col4 + Select Operator [SEL_150] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_149] (rows=575995635 width=88) + predicate:((ss_customer_sk BETWEEN DynamicValue(RS_18_store_returns_sr_customer_sk_min) AND DynamicValue(RS_18_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_18_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_18_store_returns_sr_item_sk_min) AND DynamicValue(RS_18_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_18_store_returns_sr_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_22_d1_d_date_sk_min) AND DynamicValue(RS_22_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_22_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_25_store_s_store_sk_min) AND DynamicValue(RS_25_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_25_store_s_store_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_18_store_returns_sr_ticket_number_min) AND DynamicValue(RS_1 8_store_returns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_18_store_returns_sr_ticket_number_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_6] (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"] + <-Reducer 10 [BROADCAST_EDGE] vectorized + BROADCAST [RS_132] + Group By Operator [GBY_131] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] + <-Reducer 2 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_94] + Group By Operator [GBY_93] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] + Select Operator [SEL_92] (rows=63350266 width=77) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_117] + <-Reducer 14 [BROADCAST_EDGE] vectorized + BROADCAST [RS_140] + Group By Operator [GBY_139] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 13 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_138] + Group By Operator [GBY_137] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_136] (rows=73049 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_134] + <-Reducer 16 [BROADCAST_EDGE] vectorized + BROADCAST [RS_148] + Group By Operator [GBY_147] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_146] + Group By Operator [GBY_145] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_144] (rows=1704 width=1910) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_142] + <-Reducer 8 [BROADCAST_EDGE] vectorized + BROADCAST [RS_128] + Group By Operator [GBY_127] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] + <-Reducer 2 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_84] + Group By Operator [GBY_83] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] + Select Operator [SEL_82] (rows=63350266 width=77) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_117] + <-Reducer 9 [BROADCAST_EDGE] vectorized + BROADCAST [RS_130] + Group By Operator [GBY_129] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] + <-Reducer 2 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_89] + Group By Operator [GBY_88] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] + Select Operator [SEL_87] (rows=63350266 width=77) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_117]
