http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query25.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query25.q.out b/ql/src/test/results/clientpositive/perf/tez/query25.q.out index 77a9a07..b68c54a 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query25.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query25.q.out @@ -118,195 +118,197 @@ Stage-0 limit:100 Stage-1 Reducer 7 vectorized - File Output Operator [FS_269] - Limit [LIM_268] (rows=100 width=88) + File Output Operator [FS_270] + Limit [LIM_269] (rows=100 width=88) Number of rows:100 - Select Operator [SEL_267] (rows=421657640 width=88) + Select Operator [SEL_268] (rows=421657640 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] <-Reducer 6 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_266] - Group By Operator [GBY_265] (rows=421657640 width=88) + SHUFFLE [RS_267] + Group By Operator [GBY_266] (rows=421657640 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3 <-Reducer 5 [SIMPLE_EDGE] SHUFFLE [RS_49] PartitionCols:_col0, _col1, _col2, _col3 Group By Operator [GBY_48] (rows=843315281 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col20)","sum(_col12)"],keys:_col25, _col26, _col28, _col29 - Merge Join Operator [MERGEJOIN_213] (rows=843315281 width=88) - Conds:RS_44._col3=RS_251._col0(Inner),Output:["_col5","_col12","_col20","_col25","_col26","_col28","_col29"] - <-Map 20 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_251] - PartitionCols:_col0 - Select Operator [SEL_250] (rows=1704 width=1910) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_249] (rows=1704 width=1910) - predicate:s_store_sk is not null - TableScan [TS_32] (rows=1704 width=1910) - default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_44] - PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_212] (rows=766650239 width=88) - Conds:RS_41._col1=RS_242._col0(Inner),Output:["_col3","_col5","_col12","_col20","_col25","_col26"] - <-Map 18 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_242] - PartitionCols:_col0 - Select Operator [SEL_241] (rows=462000 width=1436) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_240] (rows=462000 width=1436) - predicate:i_item_sk is not null - TableScan [TS_29] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_41] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_211] (rows=696954748 width=88) - Conds:RS_38._col1, _col2, _col4=RS_39._col8, _col9, _col10(Inner),Output:["_col1","_col3","_col5","_col12","_col20"] - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_39] - PartitionCols:_col8, _col9, _col10 - Merge Join Operator [MERGEJOIN_210] (rows=348467716 width=135) - Conds:RS_25._col2, _col1=RS_26._col1, _col2(Inner),Output:["_col3","_col8","_col9","_col10","_col11"] - <-Reducer 13 [SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_26] - PartitionCols:_col1, _col2 - Merge Join Operator [MERGEJOIN_209] (rows=63350266 width=77) - Conds:RS_233._col0=RS_224._col0(Inner),Output:["_col1","_col2","_col3","_col4"] - <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_224] - PartitionCols:_col0 - Select Operator [SEL_219] (rows=4058 width=1119) - Output:["_col0"] - Filter Operator [FIL_216] (rows=4058 width=1119) - predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10) - TableScan [TS_3] (rows=73049 width=1119) - default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] - <-Map 17 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_233] - PartitionCols:_col0 - Select Operator [SEL_232] (rows=57591150 width=77) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_231] (rows=57591150 width=77) - predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null) - TableScan [TS_12] (rows=57591150 width=77) - default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_net_loss"] - <-Reducer 10 [SIMPLE_EDGE] - SHUFFLE [RS_25] - PartitionCols:_col2, _col1 - Merge Join Operator [MERGEJOIN_208] (rows=316788826 width=135) - Conds:RS_264._col0=RS_222._col0(Inner),Output:["_col1","_col2","_col3"] - <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_222] - PartitionCols:_col0 - Select Operator [SEL_218] (rows=4058 width=1119) - Output:["_col0"] - Filter Operator [FIL_215] (rows=4058 width=1119) - predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10) - Please refer to the previous TableScan [TS_3] - <-Map 16 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_264] - PartitionCols:_col0 - Select Operator [SEL_263] (rows=287989836 width=135) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_262] (rows=287989836 width=135) - predicate:((cs_bill_customer_sk BETWEEN DynamicValue(RS_26_store_returns_sr_customer_sk_min) AND DynamicValue(RS_26_store_returns_sr_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_26_store_returns_sr_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_26_store_returns_sr_item_sk_min) AND DynamicValue(RS_26_store_returns_sr_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_26_store_returns_sr_item_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_23_d3_d_date_sk_min) AND DynamicValue(RS_23_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_23_d3_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_6] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_net_profit"] - <-Reducer 14 [BROADCAST_EDGE] vectorized - BROADCAST [RS_236] - Group By Operator [GBY_234] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] - <-Reducer 13 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_107] - Group By Operator [GBY_106] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] - Select Operator [SEL_105] (rows=63350266 width=77) - Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_209] - <-Reducer 15 [BROADCAST_EDGE] vectorized - BROADCAST [RS_239] - Group By Operator [GBY_237] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] - <-Reducer 13 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_122] - Group By Operator [GBY_121] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] - Select Operator [SEL_120] (rows=63350266 width=77) - Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_209] - <-Reducer 19 [BROADCAST_EDGE] vectorized - BROADCAST [RS_248] - Group By Operator [GBY_246] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 18 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_245] - Group By Operator [GBY_244] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_243] (rows=462000 width=1436) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_241] - <-Reducer 12 [BROADCAST_EDGE] vectorized - BROADCAST [RS_261] - Group By Operator [GBY_260] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_228] - Group By Operator [GBY_226] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_223] (rows=4058 width=1119) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_218] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_38] - PartitionCols:_col1, _col2, _col4 - Merge Join Operator [MERGEJOIN_207] (rows=633595212 width=88) - Conds:RS_259._col0=RS_220._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] - <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_220] - PartitionCols:_col0 - Select Operator [SEL_217] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_214] (rows=18262 width=1119) - predicate:((d_moy = 4) and (d_year = 2000) and d_date_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_259] - PartitionCols:_col0 - Select Operator [SEL_258] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_257] (rows=575995635 width=88) - predicate:((ss_customer_sk BETWEEN DynamicValue(RS_26_store_returns_sr_customer_sk_min) AND DynamicValue(RS_26_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_26_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_26_store_returns_sr_item_sk_min) AND DynamicValue(RS_26_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_26_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_36_d1_d_date_sk_min) AND DynamicValue(RS_36_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_36_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_45_store_s_store_sk_min) AND DynamicValue(RS_45_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_45_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) - TableScan [TS_0] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_net_profit"] - <-Reducer 14 [BROADCAST_EDGE] vectorized - BROADCAST [RS_235] - Please refer to the previous Group By Operator [GBY_234] - <-Reducer 15 [BROADCAST_EDGE] vectorized - BROADCAST [RS_238] - Please refer to the previous Group By Operator [GBY_237] - <-Reducer 19 [BROADCAST_EDGE] vectorized - BROADCAST [RS_247] - Please refer to the previous Group By Operator [GBY_246] - <-Reducer 21 [BROADCAST_EDGE] vectorized - BROADCAST [RS_256] - Group By Operator [GBY_255] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_254] - Group By Operator [GBY_253] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_252] (rows=1704 width=1910) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_250] - <-Reducer 9 [BROADCAST_EDGE] vectorized - BROADCAST [RS_230] - Group By Operator [GBY_229] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_227] - Group By Operator [GBY_225] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_221] (rows=18262 width=1119) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_217] + Top N Key Operator [TNK_95] (rows=843315281 width=88) + keys:_col25, _col26, _col28, _col29,sort order:++++,top n:100 + Merge Join Operator [MERGEJOIN_214] (rows=843315281 width=88) + Conds:RS_44._col3=RS_252._col0(Inner),Output:["_col5","_col12","_col20","_col25","_col26","_col28","_col29"] + <-Map 20 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_252] + PartitionCols:_col0 + Select Operator [SEL_251] (rows=1704 width=1910) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_250] (rows=1704 width=1910) + predicate:s_store_sk is not null + TableScan [TS_32] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_44] + PartitionCols:_col3 + Merge Join Operator [MERGEJOIN_213] (rows=766650239 width=88) + Conds:RS_41._col1=RS_243._col0(Inner),Output:["_col3","_col5","_col12","_col20","_col25","_col26"] + <-Map 18 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_243] + PartitionCols:_col0 + Select Operator [SEL_242] (rows=462000 width=1436) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_241] (rows=462000 width=1436) + predicate:i_item_sk is not null + TableScan [TS_29] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_41] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_212] (rows=696954748 width=88) + Conds:RS_38._col1, _col2, _col4=RS_39._col8, _col9, _col10(Inner),Output:["_col1","_col3","_col5","_col12","_col20"] + <-Reducer 11 [SIMPLE_EDGE] + SHUFFLE [RS_39] + PartitionCols:_col8, _col9, _col10 + Merge Join Operator [MERGEJOIN_211] (rows=348467716 width=135) + Conds:RS_25._col2, _col1=RS_26._col1, _col2(Inner),Output:["_col3","_col8","_col9","_col10","_col11"] + <-Reducer 13 [SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_26] + PartitionCols:_col1, _col2 + Merge Join Operator [MERGEJOIN_210] (rows=63350266 width=77) + Conds:RS_234._col0=RS_225._col0(Inner),Output:["_col1","_col2","_col3","_col4"] + <-Map 8 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_225] + PartitionCols:_col0 + Select Operator [SEL_220] (rows=4058 width=1119) + Output:["_col0"] + Filter Operator [FIL_217] (rows=4058 width=1119) + predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10) + TableScan [TS_3] (rows=73049 width=1119) + default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] + <-Map 17 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_234] + PartitionCols:_col0 + Select Operator [SEL_233] (rows=57591150 width=77) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_232] (rows=57591150 width=77) + predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null) + TableScan [TS_12] (rows=57591150 width=77) + default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_net_loss"] + <-Reducer 10 [SIMPLE_EDGE] + SHUFFLE [RS_25] + PartitionCols:_col2, _col1 + Merge Join Operator [MERGEJOIN_209] (rows=316788826 width=135) + Conds:RS_265._col0=RS_223._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 8 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_223] + PartitionCols:_col0 + Select Operator [SEL_219] (rows=4058 width=1119) + Output:["_col0"] + Filter Operator [FIL_216] (rows=4058 width=1119) + predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10) + Please refer to the previous TableScan [TS_3] + <-Map 16 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_265] + PartitionCols:_col0 + Select Operator [SEL_264] (rows=287989836 width=135) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_263] (rows=287989836 width=135) + predicate:((cs_bill_customer_sk BETWEEN DynamicValue(RS_26_store_returns_sr_customer_sk_min) AND DynamicValue(RS_26_store_returns_sr_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_26_store_returns_sr_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_26_store_returns_sr_item_sk_min) AND DynamicValue(RS_26_store_returns_sr_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_26_store_returns_sr_item_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_23_d3_d_date_sk_min) AND DynamicValue(RS_23_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_23_d3_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_6] (rows=287989836 width=135) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_net_profit"] + <-Reducer 14 [BROADCAST_EDGE] vectorized + BROADCAST [RS_237] + Group By Operator [GBY_235] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] + <-Reducer 13 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_108] + Group By Operator [GBY_107] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] + Select Operator [SEL_106] (rows=63350266 width=77) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_210] + <-Reducer 15 [BROADCAST_EDGE] vectorized + BROADCAST [RS_240] + Group By Operator [GBY_238] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"] + <-Reducer 13 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_123] + Group By Operator [GBY_122] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"] + Select Operator [SEL_121] (rows=63350266 width=77) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_210] + <-Reducer 19 [BROADCAST_EDGE] vectorized + BROADCAST [RS_249] + Group By Operator [GBY_247] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 18 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_246] + Group By Operator [GBY_245] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_244] (rows=462000 width=1436) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_242] + <-Reducer 12 [BROADCAST_EDGE] vectorized + BROADCAST [RS_262] + Group By Operator [GBY_261] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_229] + Group By Operator [GBY_227] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_224] (rows=4058 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_219] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_38] + PartitionCols:_col1, _col2, _col4 + Merge Join Operator [MERGEJOIN_208] (rows=633595212 width=88) + Conds:RS_260._col0=RS_221._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] + <-Map 8 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_221] + PartitionCols:_col0 + Select Operator [SEL_218] (rows=18262 width=1119) + Output:["_col0"] + Filter Operator [FIL_215] (rows=18262 width=1119) + predicate:((d_moy = 4) and (d_year = 2000) and d_date_sk is not null) + Please refer to the previous TableScan [TS_3] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_260] + PartitionCols:_col0 + Select Operator [SEL_259] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_258] (rows=575995635 width=88) + predicate:((ss_customer_sk BETWEEN DynamicValue(RS_26_store_returns_sr_customer_sk_min) AND DynamicValue(RS_26_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_26_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_26_store_returns_sr_item_sk_min) AND DynamicValue(RS_26_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_26_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_36_d1_d_date_sk_min) AND DynamicValue(RS_36_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_36_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_45_store_s_store_sk_min) AND DynamicValue(RS_45_store_s_store_sk_max) a nd in_bloom_filter(ss_store_sk, DynamicValue(RS_45_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) + TableScan [TS_0] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_net_profit"] + <-Reducer 14 [BROADCAST_EDGE] vectorized + BROADCAST [RS_236] + Please refer to the previous Group By Operator [GBY_235] + <-Reducer 15 [BROADCAST_EDGE] vectorized + BROADCAST [RS_239] + Please refer to the previous Group By Operator [GBY_238] + <-Reducer 19 [BROADCAST_EDGE] vectorized + BROADCAST [RS_248] + Please refer to the previous Group By Operator [GBY_247] + <-Reducer 21 [BROADCAST_EDGE] vectorized + 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 20 [CUSTOM_SIMPLE_EDGE] vectorized + 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=1704 width=1910) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_251] + <-Reducer 9 [BROADCAST_EDGE] vectorized + BROADCAST [RS_231] + Group By Operator [GBY_230] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_228] + Group By Operator [GBY_226] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_222] (rows=18262 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_218]
http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query26.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query26.q.out b/ql/src/test/results/clientpositive/perf/tez/query26.q.out index 0c6c0f8..a90e09f 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query26.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query26.q.out @@ -58,126 +58,128 @@ Stage-0 limit:100 Stage-1 Reducer 7 vectorized - File Output Operator [FS_139] - Limit [LIM_138] (rows=100 width=135) + File Output Operator [FS_140] + Limit [LIM_139] (rows=100 width=135) Number of rows:100 - Select Operator [SEL_137] (rows=210822976 width=135) + Select Operator [SEL_138] (rows=210822976 width=135) Output:["_col0","_col1","_col2","_col3","_col4"] <-Reducer 6 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_136] - Select Operator [SEL_135] (rows=210822976 width=135) + SHUFFLE [RS_137] + Select Operator [SEL_136] (rows=210822976 width=135) Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_134] (rows=210822976 width=135) + Group By Operator [GBY_135] (rows=210822976 width=135) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","sum(VALUE._col2)","count(VALUE._col3)","sum(VALUE._col4)","count(VALUE._col5)","sum(VALUE._col6)","count(VALUE._col7)"],keys:KEY._col0 <-Reducer 5 [SIMPLE_EDGE] SHUFFLE [RS_29] PartitionCols:_col0 Group By Operator [GBY_28] (rows=421645953 width=135) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(_col4)","count(_col4)","sum(_col5)","count(_col5)","sum(_col7)","count(_col7)","sum(_col6)","count(_col6)"],keys:_col18 - Merge Join Operator [MERGEJOIN_98] (rows=421645953 width=135) - Conds:RS_24._col2=RS_125._col0(Inner),Output:["_col4","_col5","_col6","_col7","_col18"] - <-Map 14 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_125] - PartitionCols:_col0 - Select Operator [SEL_124] (rows=462000 width=1436) - Output:["_col0","_col1"] - Filter Operator [FIL_123] (rows=462000 width=1436) - predicate:i_item_sk is not null - TableScan [TS_12] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_24] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_97] (rows=383314495 width=135) - Conds:RS_21._col3=RS_117._col0(Inner),Output:["_col2","_col4","_col5","_col6","_col7"] - <-Map 12 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_117] - PartitionCols:_col0 - Select Operator [SEL_116] (rows=2300 width=1179) - Output:["_col0"] - Filter Operator [FIL_115] (rows=2300 width=1179) - predicate:(((p_channel_email = 'N') or (p_channel_event = 'N')) and p_promo_sk is not null) - TableScan [TS_9] (rows=2300 width=1179) - default@promotion,promotion,Tbl:COMPLETE,Col:NONE,Output:["p_promo_sk","p_channel_email","p_channel_event"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_21] - PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_96] (rows=348467716 width=135) - Conds:RS_18._col0=RS_109._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6","_col7"] - <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_109] - PartitionCols:_col0 - Select Operator [SEL_108] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_107] (rows=36524 width=1119) - predicate:((d_year = 1998) and d_date_sk is not null) - TableScan [TS_6] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_95] (rows=316788826 width=135) - Conds:RS_133._col1=RS_101._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7"] - <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_101] - PartitionCols:_col0 - Select Operator [SEL_100] (rows=232725 width=385) - Output:["_col0"] - Filter Operator [FIL_99] (rows=232725 width=385) - predicate:((cd_education_status = 'Primary') and (cd_gender = 'F') and (cd_marital_status = 'W') and cd_demo_sk is not null) - TableScan [TS_3] (rows=1861800 width=385) - default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_gender","cd_marital_status","cd_education_status"] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_133] - PartitionCols:_col1 - Select Operator [SEL_132] (rows=287989836 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - Filter Operator [FIL_131] (rows=287989836 width=135) - predicate:((cs_bill_cdemo_sk BETWEEN DynamicValue(RS_16_customer_demographics_cd_demo_sk_min) AND DynamicValue(RS_16_customer_demographics_cd_demo_sk_max) and in_bloom_filter(cs_bill_cdemo_sk, DynamicValue(RS_16_customer_demographics_cd_demo_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_25_item_i_item_sk_min) AND DynamicValue(RS_25_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_25_item_i_item_sk_bloom_filter))) and (cs_promo_sk BETWEEN DynamicValue(RS_22_promotion_p_promo_sk_min) AND DynamicValue(RS_22_promotion_p_promo_sk_max) and in_bloom_filter(cs_promo_sk, DynamicValue(RS_22_promotion_p_promo_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_19_date_dim_d_date_sk_min) AND DynamicValue(RS_19_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_19_date_dim_d_date_sk_bloom_filter))) and cs_bill_cdemo_sk is not null and cs_item_sk is not null and cs_promo_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_0] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_cdemo_sk","cs_item_sk","cs_promo_sk","cs_quantity","cs_list_price","cs_sales_price","cs_coupon_amt"] - <-Reducer 11 [BROADCAST_EDGE] vectorized - BROADCAST [RS_114] - Group By Operator [GBY_113] (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_112] - Group By Operator [GBY_111] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_110] (rows=36524 width=1119) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_108] - <-Reducer 13 [BROADCAST_EDGE] vectorized - BROADCAST [RS_122] - Group By Operator [GBY_121] (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_120] - Group By Operator [GBY_119] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_118] (rows=2300 width=1179) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_116] - <-Reducer 15 [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=1000000)"] - <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_128] - Group By Operator [GBY_127] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_126] (rows=462000 width=1436) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_124] - <-Reducer 9 [BROADCAST_EDGE] vectorized - BROADCAST [RS_106] - Group By Operator [GBY_105] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_104] - Group By Operator [GBY_103] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_102] (rows=232725 width=385) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_100] + Top N Key Operator [TNK_55] (rows=421645953 width=135) + keys:_col18,sort order:+,top n:100 + Merge Join Operator [MERGEJOIN_99] (rows=421645953 width=135) + Conds:RS_24._col2=RS_126._col0(Inner),Output:["_col4","_col5","_col6","_col7","_col18"] + <-Map 14 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_126] + PartitionCols:_col0 + Select Operator [SEL_125] (rows=462000 width=1436) + Output:["_col0","_col1"] + Filter Operator [FIL_124] (rows=462000 width=1436) + predicate:i_item_sk is not null + TableScan [TS_12] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_24] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_98] (rows=383314495 width=135) + Conds:RS_21._col3=RS_118._col0(Inner),Output:["_col2","_col4","_col5","_col6","_col7"] + <-Map 12 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_118] + PartitionCols:_col0 + Select Operator [SEL_117] (rows=2300 width=1179) + Output:["_col0"] + Filter Operator [FIL_116] (rows=2300 width=1179) + predicate:(((p_channel_email = 'N') or (p_channel_event = 'N')) and p_promo_sk is not null) + TableScan [TS_9] (rows=2300 width=1179) + default@promotion,promotion,Tbl:COMPLETE,Col:NONE,Output:["p_promo_sk","p_channel_email","p_channel_event"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_21] + PartitionCols:_col3 + Merge Join Operator [MERGEJOIN_97] (rows=348467716 width=135) + Conds:RS_18._col0=RS_110._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6","_col7"] + <-Map 10 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_110] + PartitionCols:_col0 + Select Operator [SEL_109] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_108] (rows=36524 width=1119) + predicate:((d_year = 1998) and d_date_sk is not null) + TableScan [TS_6] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_96] (rows=316788826 width=135) + Conds:RS_134._col1=RS_102._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7"] + <-Map 8 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_102] + PartitionCols:_col0 + Select Operator [SEL_101] (rows=232725 width=385) + Output:["_col0"] + Filter Operator [FIL_100] (rows=232725 width=385) + predicate:((cd_education_status = 'Primary') and (cd_gender = 'F') and (cd_marital_status = 'W') and cd_demo_sk is not null) + TableScan [TS_3] (rows=1861800 width=385) + default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_gender","cd_marital_status","cd_education_status"] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_134] + PartitionCols:_col1 + Select Operator [SEL_133] (rows=287989836 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + Filter Operator [FIL_132] (rows=287989836 width=135) + predicate:((cs_bill_cdemo_sk BETWEEN DynamicValue(RS_16_customer_demographics_cd_demo_sk_min) AND DynamicValue(RS_16_customer_demographics_cd_demo_sk_max) and in_bloom_filter(cs_bill_cdemo_sk, DynamicValue(RS_16_customer_demographics_cd_demo_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_25_item_i_item_sk_min) AND DynamicValue(RS_25_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_25_item_i_item_sk_bloom_filter))) and (cs_promo_sk BETWEEN DynamicValue(RS_22_promotion_p_promo_sk_min) AND DynamicValue(RS_22_promotion_p_promo_sk_max) and in_bloom_filter(cs_promo_sk, DynamicValue(RS_22_promotion_p_promo_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_19_date_dim_d_date_sk_min) AND DynamicValue(RS_19_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_19_date_dim_d_date_sk_bloom_filter))) and cs_bill_cdemo_sk is not null and cs_item_sk is not null and cs_promo_sk is not nul l and cs_sold_date_sk is not null) + TableScan [TS_0] (rows=287989836 width=135) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_cdemo_sk","cs_item_sk","cs_promo_sk","cs_quantity","cs_list_price","cs_sales_price","cs_coupon_amt"] + <-Reducer 11 [BROADCAST_EDGE] vectorized + BROADCAST [RS_115] + Group By Operator [GBY_114] (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_113] + Group By Operator [GBY_112] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_111] (rows=36524 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_109] + <-Reducer 13 [BROADCAST_EDGE] vectorized + BROADCAST [RS_123] + Group By Operator [GBY_122] (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_121] + Group By Operator [GBY_120] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_119] (rows=2300 width=1179) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_117] + <-Reducer 15 [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=1000000)"] + <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_129] + Group By Operator [GBY_128] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_127] (rows=462000 width=1436) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_125] + <-Reducer 9 [BROADCAST_EDGE] vectorized + BROADCAST [RS_107] + Group By Operator [GBY_106] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_105] + Group By Operator [GBY_104] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_103] (rows=232725 width=385) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_101] http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query27.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query27.q.out b/ql/src/test/results/clientpositive/perf/tez/query27.q.out index df1e15f..7ea13c8 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query27.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query27.q.out @@ -62,128 +62,130 @@ Stage-0 limit:100 Stage-1 Reducer 7 vectorized - File Output Operator [FS_140] - Limit [LIM_139] (rows=100 width=88) + File Output Operator [FS_141] + Limit [LIM_140] (rows=100 width=88) Number of rows:100 - Select Operator [SEL_138] (rows=1264972921 width=88) + Select Operator [SEL_139] (rows=1264972921 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] <-Reducer 6 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_137] - Select Operator [SEL_136] (rows=1264972921 width=88) + SHUFFLE [RS_138] + Select Operator [SEL_137] (rows=1264972921 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - Group By Operator [GBY_135] (rows=1264972921 width=88) + Group By Operator [GBY_136] (rows=1264972921 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","sum(VALUE._col2)","count(VALUE._col3)","sum(VALUE._col4)","count(VALUE._col5)","sum(VALUE._col6)","count(VALUE._col7)"],keys:KEY._col0, KEY._col1, KEY._col2 <-Reducer 5 [SIMPLE_EDGE] SHUFFLE [RS_30] PartitionCols:_col0, _col1, _col2 Group By Operator [GBY_29] (rows=2529945843 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(_col2)","count(_col2)","sum(_col3)","count(_col3)","sum(_col4)","count(_col4)","sum(_col5)","count(_col5)"],keys:_col0, _col1, 0L - Select Operator [SEL_27] (rows=843315281 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Merge Join Operator [MERGEJOIN_99] (rows=843315281 width=88) - Conds:RS_24._col1=RS_126._col0(Inner),Output:["_col4","_col5","_col6","_col7","_col15","_col17"] - <-Map 14 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_126] - PartitionCols:_col0 - Select Operator [SEL_125] (rows=462000 width=1436) - Output:["_col0","_col1"] - Filter Operator [FIL_124] (rows=462000 width=1436) - predicate:i_item_sk is not null - TableScan [TS_12] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_24] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_98] (rows=766650239 width=88) - Conds:RS_21._col3=RS_118._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col15"] - <-Map 12 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_118] - PartitionCols:_col0 - Select Operator [SEL_117] (rows=852 width=1910) - Output:["_col0","_col1"] - Filter Operator [FIL_116] (rows=852 width=1910) - predicate:((s_state) IN ('SD', 'FL', 'MI', 'LA', 'MO', 'SC') and s_store_sk is not null) - TableScan [TS_9] (rows=1704 width=1910) - default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_state"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_21] - PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_97] (rows=696954748 width=88) - Conds:RS_18._col0=RS_110._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7"] - <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_110] - PartitionCols:_col0 - Select Operator [SEL_109] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_108] (rows=36524 width=1119) - predicate:((d_year = 2001) and d_date_sk is not null) - TableScan [TS_6] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_96] (rows=633595212 width=88) - Conds:RS_134._col2=RS_102._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col5","_col6","_col7"] - <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_102] - PartitionCols:_col0 - Select Operator [SEL_101] (rows=232725 width=385) - Output:["_col0"] - Filter Operator [FIL_100] (rows=232725 width=385) - predicate:((cd_education_status = '2 yr Degree') and (cd_gender = 'M') and (cd_marital_status = 'U') and cd_demo_sk is not null) - TableScan [TS_3] (rows=1861800 width=385) - default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_gender","cd_marital_status","cd_education_status"] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_134] - PartitionCols:_col2 - Select Operator [SEL_133] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - Filter Operator [FIL_132] (rows=575995635 width=88) - predicate:((ss_cdemo_sk BETWEEN DynamicValue(RS_16_customer_demographics_cd_demo_sk_min) AND DynamicValue(RS_16_customer_demographics_cd_demo_sk_max) and in_bloom_filter(ss_cdemo_sk, DynamicValue(RS_16_customer_demographics_cd_demo_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_25_item_i_item_sk_min) AND DynamicValue(RS_25_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_25_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_19_date_dim_d_date_sk_min) AND DynamicValue(RS_19_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_19_date_dim_d_date_sk_bloom_filter))) and (ss_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_cdemo_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is no t null) - TableScan [TS_0] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_cdemo_sk","ss_store_sk","ss_quantity","ss_list_price","ss_sales_price","ss_coupon_amt"] - <-Reducer 11 [BROADCAST_EDGE] vectorized - BROADCAST [RS_115] - Group By Operator [GBY_114] (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_113] - Group By Operator [GBY_112] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_111] (rows=36524 width=1119) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_109] - <-Reducer 13 [BROADCAST_EDGE] vectorized - BROADCAST [RS_123] - Group By Operator [GBY_122] (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_121] - Group By Operator [GBY_120] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_119] (rows=852 width=1910) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_117] - <-Reducer 15 [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=1000000)"] - <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized - SHUFFLE [RS_129] - Group By Operator [GBY_128] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_127] (rows=462000 width=1436) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_125] - <-Reducer 9 [BROADCAST_EDGE] vectorized - BROADCAST [RS_107] - Group By Operator [GBY_106] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_105] - Group By Operator [GBY_104] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_103] (rows=232725 width=385) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_101] + Top N Key Operator [TNK_56] (rows=843315281 width=88) + keys:_col0, _col1, 0L,sort order:+++,top n:100 + Select Operator [SEL_27] (rows=843315281 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Merge Join Operator [MERGEJOIN_100] (rows=843315281 width=88) + Conds:RS_24._col1=RS_127._col0(Inner),Output:["_col4","_col5","_col6","_col7","_col15","_col17"] + <-Map 14 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_127] + PartitionCols:_col0 + Select Operator [SEL_126] (rows=462000 width=1436) + Output:["_col0","_col1"] + Filter Operator [FIL_125] (rows=462000 width=1436) + predicate:i_item_sk is not null + TableScan [TS_12] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_24] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_99] (rows=766650239 width=88) + Conds:RS_21._col3=RS_119._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col15"] + <-Map 12 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_119] + PartitionCols:_col0 + Select Operator [SEL_118] (rows=852 width=1910) + Output:["_col0","_col1"] + Filter Operator [FIL_117] (rows=852 width=1910) + predicate:((s_state) IN ('SD', 'FL', 'MI', 'LA', 'MO', 'SC') and s_store_sk is not null) + TableScan [TS_9] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_state"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_21] + PartitionCols:_col3 + Merge Join Operator [MERGEJOIN_98] (rows=696954748 width=88) + Conds:RS_18._col0=RS_111._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7"] + <-Map 10 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_111] + PartitionCols:_col0 + Select Operator [SEL_110] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_109] (rows=36524 width=1119) + predicate:((d_year = 2001) and d_date_sk is not null) + TableScan [TS_6] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_97] (rows=633595212 width=88) + Conds:RS_135._col2=RS_103._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col5","_col6","_col7"] + <-Map 8 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_103] + PartitionCols:_col0 + Select Operator [SEL_102] (rows=232725 width=385) + Output:["_col0"] + Filter Operator [FIL_101] (rows=232725 width=385) + predicate:((cd_education_status = '2 yr Degree') and (cd_gender = 'M') and (cd_marital_status = 'U') and cd_demo_sk is not null) + TableScan [TS_3] (rows=1861800 width=385) + default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_gender","cd_marital_status","cd_education_status"] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_135] + PartitionCols:_col2 + Select Operator [SEL_134] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + Filter Operator [FIL_133] (rows=575995635 width=88) + predicate:((ss_cdemo_sk BETWEEN DynamicValue(RS_16_customer_demographics_cd_demo_sk_min) AND DynamicValue(RS_16_customer_demographics_cd_demo_sk_max) and in_bloom_filter(ss_cdemo_sk, DynamicValue(RS_16_customer_demographics_cd_demo_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_25_item_i_item_sk_min) AND DynamicValue(RS_25_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_25_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_19_date_dim_d_date_sk_min) AND DynamicValue(RS_19_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_19_date_dim_d_date_sk_bloom_filter))) and (ss_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_cdemo_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) + TableScan [TS_0] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_cdemo_sk","ss_store_sk","ss_quantity","ss_list_price","ss_sales_price","ss_coupon_amt"] + <-Reducer 11 [BROADCAST_EDGE] vectorized + BROADCAST [RS_116] + Group By Operator [GBY_115] (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_114] + Group By Operator [GBY_113] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_112] (rows=36524 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_110] + <-Reducer 13 [BROADCAST_EDGE] vectorized + BROADCAST [RS_124] + Group By Operator [GBY_123] (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_122] + Group By Operator [GBY_121] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_120] (rows=852 width=1910) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_118] + <-Reducer 15 [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=1000000)"] + <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_130] + Group By Operator [GBY_129] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_128] (rows=462000 width=1436) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_126] + <-Reducer 9 [BROADCAST_EDGE] vectorized + BROADCAST [RS_108] + Group By Operator [GBY_107] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_106] + Group By Operator [GBY_105] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_104] (rows=232725 width=385) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_102]
