http://git-wip-us.apache.org/repos/asf/hive/blob/5553c59e/ql/src/test/results/clientpositive/perf/tez/constraints/query17.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query17.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query17.q.out index 4e5c2a9..858fb05 100644 --- a/ql/src/test/results/clientpositive/perf/tez/constraints/query17.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query17.q.out @@ -103,225 +103,229 @@ POSTHOOK: Output: hdfs://### HDFS PATH ### Plan optimized by CBO. Vertex dependency in root stage -Map 1 <- Reducer 9 (BROADCAST_EDGE) -Map 19 <- Reducer 14 (BROADCAST_EDGE), Reducer 16 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 18 (BROADCAST_EDGE), Reducer 6 (BROADCAST_EDGE), Reducer 7 (BROADCAST_EDGE) -Reducer 10 <- Map 19 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 11 <- Reducer 10 (SIMPLE_EDGE), Reducer 15 (SIMPLE_EDGE) -Reducer 12 <- Map 21 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE) -Reducer 13 <- Map 22 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE) -Reducer 14 <- Map 8 (CUSTOM_SIMPLE_EDGE) -Reducer 15 <- Map 20 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) +Map 1 <- Reducer 11 (BROADCAST_EDGE), Reducer 16 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE) +Map 19 <- Reducer 14 (BROADCAST_EDGE), Reducer 16 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 18 (BROADCAST_EDGE), Reducer 8 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE) +Reducer 11 <- Map 10 (CUSTOM_SIMPLE_EDGE) +Reducer 12 <- Map 10 (SIMPLE_EDGE), Map 19 (SIMPLE_EDGE) +Reducer 13 <- Reducer 12 (SIMPLE_EDGE), Reducer 15 (SIMPLE_EDGE) +Reducer 14 <- Map 10 (CUSTOM_SIMPLE_EDGE) +Reducer 15 <- Map 10 (SIMPLE_EDGE), Map 20 (SIMPLE_EDGE) Reducer 16 <- Reducer 15 (CUSTOM_SIMPLE_EDGE) Reducer 17 <- Reducer 15 (CUSTOM_SIMPLE_EDGE) Reducer 18 <- Reducer 15 (CUSTOM_SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 10 (SIMPLE_EDGE) Reducer 3 <- Reducer 13 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 2 (CUSTOM_SIMPLE_EDGE) -Reducer 7 <- Reducer 2 (CUSTOM_SIMPLE_EDGE) -Reducer 9 <- Map 8 (CUSTOM_SIMPLE_EDGE) +Reducer 4 <- Map 21 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Map 22 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 6 (SIMPLE_EDGE) +Reducer 8 <- Reducer 2 (CUSTOM_SIMPLE_EDGE) +Reducer 9 <- Reducer 2 (CUSTOM_SIMPLE_EDGE) Stage-0 Fetch Operator limit:100 Stage-1 - Reducer 5 vectorized - File Output Operator [FS_252] - Limit [LIM_251] (rows=100 width=466) + Reducer 7 vectorized + File Output Operator [FS_260] + Limit [LIM_259] (rows=100 width=466) Number of rows:100 - Select Operator [SEL_250] (rows=8581091679 width=466) + Select Operator [SEL_258] (rows=8581091679 width=466) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"] - <-Reducer 4 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_249] - Select Operator [SEL_248] (rows=8581091679 width=466) + <-Reducer 6 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_257] + Select Operator [SEL_256] (rows=8581091679 width=466) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13"] - Group By Operator [GBY_247] (rows=8581091679 width=466) + Group By Operator [GBY_255] (rows=8581091679 width=466) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","count(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)","sum(VALUE._col7)","count(VALUE._col8)","sum(VALUE._col9)","sum(VALUE._col10)","sum(VALUE._col11)"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Reducer 3 [SIMPLE_EDGE] + <-Reducer 5 [SIMPLE_EDGE] SHUFFLE [RS_48] PartitionCols:_col0, _col1, _col2 Group By Operator [GBY_47] (rows=8581091679 width=466) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"],aggregations:["count(_col3)","sum(_col3)","sum(_col7)","sum(_col6)","count(_col4)","sum(_col4)","sum(_col9)","sum(_col8)","count(_col5)","sum(_col5)","sum(_col11)","sum(_col10)"],keys:_col0, _col1, _col2 - Top N Key Operator [TNK_92] (rows=8581091679 width=381) + Top N Key Operator [TNK_94] (rows=8581091679 width=381) keys:_col0, _col1, _col2,sort order:+++,top n:100 Select Operator [SEL_45] (rows=8581091679 width=381) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"] - Merge Join Operator [MERGEJOIN_204] (rows=8581091679 width=381) - Conds:RS_42._col2, _col1=RS_43._col11, _col12(Inner),Output:["_col3","_col6","_col7","_col13","_col19","_col22"] - <-Reducer 2 [SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_42] - PartitionCols:_col2, _col1 - Merge Join Operator [MERGEJOIN_198] (rows=47131396 width=11) - Conds:RS_224._col0=RS_211._col0(Inner),Output:["_col1","_col2","_col3"] - <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_211] + Merge Join Operator [MERGEJOIN_210] (rows=8581091679 width=381) + Conds:RS_42._col6=RS_254._col0(Inner),Output:["_col3","_col10","_col16","_col19","_col21","_col22"] + <-Map 22 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_254] + PartitionCols:_col0 + Select Operator [SEL_253] (rows=462000 width=288) + Output:["_col0","_col1","_col2"] + TableScan [TS_31] (rows=462000 width=288) + default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id","i_item_desc"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_42] + PartitionCols:_col6 + Merge Join Operator [MERGEJOIN_209] (rows=8581091679 width=101) + Conds:RS_39._col8=RS_252._col0(Inner),Output:["_col3","_col6","_col10","_col16","_col19"] + <-Map 21 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_252] PartitionCols:_col0 - Select Operator [SEL_208] (rows=304 width=4) - Output:["_col0"] - Filter Operator [FIL_205] (rows=304 width=94) - predicate:(d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') - TableScan [TS_3] (rows=73049 width=94) - default@date_dim,d3,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_quarter_name"] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_224] - PartitionCols:_col0 - Select Operator [SEL_223] (rows=285117831 width=15) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_222] (rows=285117831 width=15) - predicate:((cs_sold_date_sk BETWEEN DynamicValue(RS_40_d3_d_date_sk_min) AND DynamicValue(RS_40_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_40_d3_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_0] (rows=287989836 width=15) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_quantity"] - <-Reducer 9 [BROADCAST_EDGE] vectorized - BROADCAST [RS_221] - Group By Operator [GBY_220] (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_218] - Group By Operator [GBY_216] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_212] (rows=304 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_208] - <-Reducer 13 [SIMPLE_EDGE] - SHUFFLE [RS_43] - PartitionCols:_col11, _col12 - Select Operator [SEL_38] (rows=42605597 width=383) - Output:["_col1","_col2","_col8","_col11","_col12","_col14","_col17"] - Merge Join Operator [MERGEJOIN_203] (rows=42605597 width=383) - Conds:RS_35._col1=RS_246._col0(Inner),Output:["_col5","_col8","_col9","_col11","_col14","_col16","_col17"] - <-Map 22 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_246] - PartitionCols:_col0 - Select Operator [SEL_245] (rows=462000 width=288) - Output:["_col0","_col1","_col2"] - TableScan [TS_24] (rows=462000 width=288) - default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id","i_item_desc"] - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_35] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_202] (rows=42605597 width=103) - Conds:RS_32._col3=RS_244._col0(Inner),Output:["_col1","_col5","_col8","_col9","_col11","_col14"] - <-Map 21 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_244] - PartitionCols:_col0 - Select Operator [SEL_243] (rows=1704 width=90) - Output:["_col0","_col1"] - TableScan [TS_22] (rows=1704 width=90) - default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_state"] - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_32] - PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_201] (rows=42605597 width=19) - Conds:RS_29._col1, _col2, _col4=RS_30._col1, _col2, _col3(Inner),Output:["_col1","_col3","_col5","_col8","_col9","_col11"] - <-Reducer 15 [SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_30] - PartitionCols:_col1, _col2, _col3 - Merge Join Operator [MERGEJOIN_200] (rows=8143830 width=14) - Conds:RS_229._col0=RS_215._col0(Inner),Output:["_col1","_col2","_col3","_col4"] - <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_215] - PartitionCols:_col0 - Select Operator [SEL_210] (rows=304 width=4) - Output:["_col0"] - Filter Operator [FIL_207] (rows=304 width=94) - predicate:(d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') - Please refer to the previous TableScan [TS_3] - <-Map 20 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_229] - PartitionCols:_col0 - Select Operator [SEL_228] (rows=53632139 width=19) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_227] (rows=53632139 width=19) - predicate:(sr_customer_sk is not null and sr_returned_date_sk is not null) - TableScan [TS_12] (rows=57591150 width=19) - default@store_returns,store_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_return_quantity"] - <-Reducer 10 [SIMPLE_EDGE] - SHUFFLE [RS_29] - PartitionCols:_col1, _col2, _col4 - Merge Join Operator [MERGEJOIN_199] (rows=27749405 width=10) - Conds:RS_242._col0=RS_213._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] - <-Map 8 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_213] - PartitionCols:_col0 - Select Operator [SEL_209] (rows=101 width=4) - Output:["_col0"] - Filter Operator [FIL_206] (rows=101 width=94) - predicate:(d_quarter_name = '2000Q1') - Please refer to the previous TableScan [TS_3] - <-Map 19 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_242] - PartitionCols:_col0 - Select Operator [SEL_241] (rows=501694138 width=23) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_240] (rows=501694138 width=23) - predicate:((ss_customer_sk BETWEEN DynamicValue(RS_30_store_returns_sr_customer_sk_min) AND DynamicValue(RS_30_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_30_store_returns_sr_customer_sk_bloom_filter))) and (ss_customer_sk BETWEEN DynamicValue(RS_42_catalog_sales_cs_bill_customer_sk_min) AND DynamicValue(RS_42_catalog_sales_cs_bill_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_42_catalog_sales_cs_bill_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_30_store_returns_sr_item_sk_min) AND DynamicValue(RS_30_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_30_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_42_catalog_sales_cs_item_sk_min) AND DynamicValue(RS_42_catalog_sales_cs_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_42_catalog_sales_cs_item_sk_bloom_filter))) and (ss_sol d_date_sk BETWEEN DynamicValue(RS_27_d1_d_date_sk_min) AND DynamicValue(RS_27_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_27_d1_d_date_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_30_store_returns_sr_ticket_number_min) AND DynamicValue(RS_30_store_returns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_30_store_returns_sr_ticket_number_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) - TableScan [TS_6] (rows=575995635 width=23) - default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_quantity"] - <-Reducer 14 [BROADCAST_EDGE] vectorized - BROADCAST [RS_226] - Group By Operator [GBY_225] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_219] - Group By Operator [GBY_217] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_214] (rows=101 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_209] - <-Reducer 16 [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)"] - <-Reducer 15 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_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=8143830 width=8) - Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_200] - <-Reducer 17 [BROADCAST_EDGE] vectorized - BROADCAST [RS_233] - Group By Operator [GBY_232] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Reducer 15 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_125] - Group By Operator [GBY_124] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_123] (rows=8143830 width=6) - Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_200] - <-Reducer 18 [BROADCAST_EDGE] vectorized - BROADCAST [RS_235] - 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=5304149)"] - <-Reducer 15 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_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=5304149)"] - Select Operator [SEL_128] (rows=8143830 width=8) - Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_200] - <-Reducer 6 [BROADCAST_EDGE] vectorized - BROADCAST [RS_237] - Group By Operator [GBY_236] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Reducer 2 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_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=47131396 width=8) - Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_198] - <-Reducer 7 [BROADCAST_EDGE] vectorized - BROADCAST [RS_239] - 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=1000000)"] - <-Reducer 2 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_150] - Group By Operator [GBY_149] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_148] (rows=47131396 width=7) + Select Operator [SEL_251] (rows=1704 width=90) + Output:["_col0","_col1"] + TableScan [TS_29] (rows=1704 width=90) + default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_state"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_39] + PartitionCols:_col8 + Merge Join Operator [MERGEJOIN_208] (rows=8581091679 width=19) + Conds:RS_36._col1, _col2=RS_37._col9, _col8(Inner),Output:["_col3","_col6","_col8","_col10","_col16"] + <-Reducer 2 [SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_36] + PartitionCols:_col1, _col2 + Merge Join Operator [MERGEJOIN_204] (rows=47131396 width=11) + Conds:RS_239._col0=RS_217._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 10 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_217] + PartitionCols:_col0 + Select Operator [SEL_214] (rows=304 width=4) + Output:["_col0"] + Filter Operator [FIL_211] (rows=304 width=94) + predicate:(d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') + TableScan [TS_3] (rows=73049 width=94) + default@date_dim,d3,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_quarter_name"] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_239] + PartitionCols:_col0 + Select Operator [SEL_238] (rows=285117831 width=15) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_237] (rows=285117831 width=15) + 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_sold_date_sk BETWEEN DynamicValue(RS_34_d3_d_date_sk_min) AND DynamicValue(RS_34_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_34_d3_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_0] (rows=287989836 width=15) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_quantity"] + <-Reducer 16 [BROADCAST_EDGE] vectorized + BROADCAST [RS_232] + Group By Operator [GBY_231] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Reducer 15 [CUSTOM_SIMPLE_EDGE] + 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=1000000)"] + Select Operator [SEL_105] (rows=8143830 width=6) + Output:["_col0"] + Merge Join Operator [MERGEJOIN_206] (rows=8143830 width=14) + Conds:RS_230._col0=RS_221._col0(Inner),Output:["_col1","_col2","_col3","_col4"] + <-Map 10 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_221] + PartitionCols:_col0 + Select Operator [SEL_216] (rows=304 width=4) Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_198] + Filter Operator [FIL_213] (rows=304 width=94) + predicate:(d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') + Please refer to the previous TableScan [TS_3] + <-Map 20 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_230] + PartitionCols:_col0 + Select Operator [SEL_229] (rows=53632139 width=19) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_228] (rows=53632139 width=19) + predicate:(sr_customer_sk is not null and sr_returned_date_sk is not null) + TableScan [TS_12] (rows=57591150 width=19) + default@store_returns,store_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_return_quantity"] + <-Reducer 17 [BROADCAST_EDGE] vectorized + BROADCAST [RS_235] + 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=1000000)"] + <-Reducer 15 [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=1000000)"] + Select Operator [SEL_120] (rows=8143830 width=8) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_206] + <-Reducer 11 [BROADCAST_EDGE] vectorized + BROADCAST [RS_227] + Group By Operator [GBY_226] (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_224] + Group By Operator [GBY_222] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_218] (rows=304 width=4) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_214] + <-Reducer 13 [SIMPLE_EDGE] + SHUFFLE [RS_37] + PartitionCols:_col9, _col8 + Merge Join Operator [MERGEJOIN_207] (rows=42605597 width=19) + Conds:RS_25._col2, _col1, _col4=RS_26._col2, _col1, _col3(Inner),Output:["_col1","_col3","_col5","_col8","_col9","_col11"] + <-Reducer 15 [SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_26] + PartitionCols:_col2, _col1, _col3 + Please refer to the previous Merge Join Operator [MERGEJOIN_206] + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_25] + PartitionCols:_col2, _col1, _col4 + Merge Join Operator [MERGEJOIN_205] (rows=27749405 width=10) + Conds:RS_250._col0=RS_219._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] + <-Map 10 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_219] + PartitionCols:_col0 + Select Operator [SEL_215] (rows=101 width=4) + Output:["_col0"] + Filter Operator [FIL_212] (rows=101 width=94) + predicate:(d_quarter_name = '2000Q1') + Please refer to the previous TableScan [TS_3] + <-Map 19 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_250] + PartitionCols:_col0 + Select Operator [SEL_249] (rows=501694138 width=23) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_248] (rows=501694138 width=23) + 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_customer_sk BETWEEN DynamicValue(RS_36_catalog_sales_cs_bill_customer_sk_min) AND DynamicValue(RS_36_catalog_sales_cs_bill_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_36_catalog_sales_cs_bill_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_36_catalog_sales_cs_item_sk_min) AND DynamicValue(RS_36_catalog_sales_cs_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_36_catalog_sales_cs_item_sk_bloom_filter))) and (ss_sold_ date_sk BETWEEN DynamicValue(RS_23_d1_d_date_sk_min) AND DynamicValue(RS_23_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_23_d1_d_date_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_26_store_returns_sr_ticket_number_min) AND DynamicValue(RS_26_store_returns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_26_store_returns_sr_ticket_number_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) + TableScan [TS_6] (rows=575995635 width=23) + default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_quantity"] + <-Reducer 16 [BROADCAST_EDGE] vectorized + BROADCAST [RS_233] + Please refer to the previous Group By Operator [GBY_231] + <-Reducer 17 [BROADCAST_EDGE] vectorized + BROADCAST [RS_236] + Please refer to the previous Group By Operator [GBY_234] + <-Reducer 14 [BROADCAST_EDGE] vectorized + BROADCAST [RS_241] + Group By Operator [GBY_240] (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_225] + Group By Operator [GBY_223] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_220] (rows=101 width=4) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_215] + <-Reducer 18 [BROADCAST_EDGE] vectorized + BROADCAST [RS_243] + Group By Operator [GBY_242] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=5304149)"] + <-Reducer 15 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_144] + Group By Operator [GBY_143] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=5304149)"] + Select Operator [SEL_142] (rows=8143830 width=8) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_206] + <-Reducer 8 [BROADCAST_EDGE] vectorized + BROADCAST [RS_245] + Group By Operator [GBY_244] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Reducer 2 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_154] + Group By Operator [GBY_153] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_152] (rows=47131396 width=7) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_204] + <-Reducer 9 [BROADCAST_EDGE] vectorized + BROADCAST [RS_247] + 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)"] + <-Reducer 2 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_159] + Group By Operator [GBY_158] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_157] (rows=47131396 width=8) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_204]
http://git-wip-us.apache.org/repos/asf/hive/blob/5553c59e/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out index b7f9778..d38965a 100644 --- a/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query18.q.out @@ -81,159 +81,157 @@ POSTHOOK: Output: hdfs://### HDFS PATH ### Plan optimized by CBO. Vertex dependency in root stage -Map 10 <- Reducer 15 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 7 (BROADCAST_EDGE) -Reducer 11 <- Map 10 (SIMPLE_EDGE), Map 14 (SIMPLE_EDGE) -Reducer 12 <- Map 16 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE) -Reducer 13 <- Map 18 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE) -Reducer 15 <- Map 14 (CUSTOM_SIMPLE_EDGE) -Reducer 17 <- Map 16 (CUSTOM_SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 13 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (SIMPLE_EDGE) +Map 10 <- Reducer 14 (BROADCAST_EDGE), Reducer 16 (BROADCAST_EDGE), Reducer 8 (BROADCAST_EDGE) +Reducer 11 <- Map 10 (SIMPLE_EDGE), Map 13 (SIMPLE_EDGE) +Reducer 12 <- Map 15 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE) +Reducer 14 <- Map 13 (CUSTOM_SIMPLE_EDGE) +Reducer 16 <- Map 15 (CUSTOM_SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) +Reducer 3 <- Reducer 12 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 17 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Map 18 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) Reducer 6 <- Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 3 (CUSTOM_SIMPLE_EDGE) +Reducer 7 <- Reducer 6 (SIMPLE_EDGE) +Reducer 8 <- Reducer 2 (CUSTOM_SIMPLE_EDGE) Stage-0 Fetch Operator limit:100 Stage-1 - Reducer 6 vectorized - File Output Operator [FS_177] - Limit [LIM_176] (rows=100 width=1165) + Reducer 7 vectorized + File Output Operator [FS_181] + Limit [LIM_180] (rows=100 width=1165) Number of rows:100 - Select Operator [SEL_175] (rows=10969055 width=1165) + Select Operator [SEL_179] (rows=11124170 width=1165) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"] - <-Reducer 5 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_174] - Select Operator [SEL_173] (rows=10969055 width=1165) + <-Reducer 6 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_178] + Select Operator [SEL_177] (rows=11124170 width=1165) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"] - Group By Operator [GBY_172] (rows=10969055 width=1229) + Group By Operator [GBY_176] (rows=11124170 width=1229) Output:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","sum(VALUE._col2)","count(VALUE._col3)","sum(VALUE._col4)","count(VALUE._col5)","sum(VALUE._col6)","count(VALUE._col7)","sum(VALUE._col8)","count(VALUE._col9)","sum(VALUE._col10)","count(VALUE._col11)","sum(VALUE._col12)","count(VALUE._col13)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4 - <-Reducer 4 [SIMPLE_EDGE] + <-Reducer 5 [SIMPLE_EDGE] SHUFFLE [RS_40] PartitionCols:_col0, _col1, _col2, _col3, _col4 - Group By Operator [GBY_39] (rows=10969055 width=1229) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"],aggregations:["sum(_col15)","count(_col15)","sum(_col16)","count(_col16)","sum(_col17)","count(_col17)","sum(_col18)","count(_col18)","sum(_col19)","count(_col19)","sum(_col3)","count(_col3)","sum(_col22)","count(_col22)"],keys:_col5, _col6, _col7, _col10, 0L - Merge Join Operator [MERGEJOIN_140] (rows=2193811 width=811) - Conds:RS_35._col0=RS_36._col3(Inner),Output:["_col3","_col5","_col6","_col7","_col10","_col15","_col16","_col17","_col18","_col19","_col22"] - <-Reducer 3 [SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_35] + Group By Operator [GBY_39] (rows=11124170 width=1229) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"],aggregations:["sum(_col12)","count(_col12)","sum(_col13)","count(_col13)","sum(_col14)","count(_col14)","sum(_col15)","count(_col15)","sum(_col16)","count(_col16)","sum(_col3)","count(_col3)","sum(_col19)","count(_col19)"],keys:_col21, _col5, _col6, _col7, 0L + Merge Join Operator [MERGEJOIN_144] (rows=2224834 width=816) + Conds:RS_35._col1=RS_175._col0(Inner),Output:["_col3","_col5","_col6","_col7","_col12","_col13","_col14","_col15","_col16","_col19","_col21"] + <-Map 18 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_175] PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_136] (rows=4959744 width=368) - Conds:RS_32._col1=RS_148._col0(Inner),Output:["_col0","_col3","_col5","_col6","_col7"] - <-Map 9 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_148] + Select Operator [SEL_174] (rows=1861800 width=4) + Output:["_col0"] + TableScan [TS_24] (rows=1861800 width=4) + default@customer_demographics,cd2,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_35] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_143] (rows=2193811 width=813) + Conds:RS_32._col11=RS_173._col0(Inner),Output:["_col1","_col3","_col5","_col6","_col7","_col12","_col13","_col14","_col15","_col16","_col19","_col21"] + <-Map 17 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_173] PartitionCols:_col0 - Select Operator [SEL_147] (rows=1861800 width=4) - Output:["_col0"] - TableScan [TS_6] (rows=1861800 width=4) - default@customer_demographics,cd2,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk"] - <-Reducer 2 [SIMPLE_EDGE] + Select Operator [SEL_172] (rows=462000 width=104) + Output:["_col0","_col1"] + TableScan [TS_22] (rows=462000 width=104) + default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id"] + <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_32] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_135] (rows=4890586 width=371) - Conds:RS_143._col2=RS_146._col0(Inner),Output:["_col0","_col1","_col3","_col5","_col6","_col7"] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_143] - PartitionCols:_col2 - Select Operator [SEL_142] (rows=35631408 width=119) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_141] (rows=35631408 width=19) - predicate:((c_birth_month) IN (9, 5, 12, 4, 1, 10) and c_current_addr_sk is not null and c_current_cdemo_sk is not null) - TableScan [TS_0] (rows=80000000 width=19) - default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_current_cdemo_sk","c_current_addr_sk","c_birth_month","c_birth_year"] - <-Map 8 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_146] + PartitionCols:_col11 + Merge Join Operator [MERGEJOIN_142] (rows=2193811 width=717) + Conds:RS_29._col0=RS_30._col1(Inner),Output:["_col1","_col3","_col5","_col6","_col7","_col11","_col12","_col13","_col14","_col15","_col16","_col19"] + <-Reducer 2 [SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_29] PartitionCols:_col0 - Select Operator [SEL_145] (rows=5490196 width=285) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_144] (rows=5490196 width=285) - predicate:(ca_state) IN ('ND', 'WI', 'AL', 'NC', 'OK', 'MS', 'TN') - TableScan [TS_3] (rows=40000000 width=285) - default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_county","ca_state","ca_country"] - <-Reducer 13 [SIMPLE_EDGE] - SHUFFLE [RS_36] - PartitionCols:_col3 - Select Operator [SEL_28] (rows=15983481 width=735) - Output:["_col1","_col3","_col6","_col7","_col8","_col9","_col10","_col13"] - Merge Join Operator [MERGEJOIN_139] (rows=15983481 width=735) - Conds:RS_25._col3=RS_171._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col8","_col11","_col13"] - <-Map 18 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_171] - PartitionCols:_col0 - Select Operator [SEL_170] (rows=462000 width=104) - Output:["_col0","_col1"] - TableScan [TS_17] (rows=462000 width=104) - default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id"] - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_25] - PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_138] (rows=15983481 width=639) - Conds:RS_22._col2=RS_159._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col11"] - <-Map 16 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_159] - PartitionCols:_col0 - Select Operator [SEL_158] (rows=103433 width=116) - Output:["_col0","_col1"] - Filter Operator [FIL_157] (rows=103433 width=187) - predicate:((cd_education_status = 'College') and (cd_gender = 'M')) - TableScan [TS_14] (rows=1861800 width=187) - default@customer_demographics,cd1,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk","cd_gender","cd_education_status","cd_dep_count"] - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_22] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_137] (rows=100578970 width=565) - Conds:RS_169._col0=RS_151._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] - <-Map 14 [SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_151] - PartitionCols:_col0 - Select Operator [SEL_150] (rows=652 width=4) - Output:["_col0"] - Filter Operator [FIL_149] (rows=652 width=8) - predicate:(d_year = 2001) - TableScan [TS_11] (rows=73049 width=8) - default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year"] - <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_169] - PartitionCols:_col0 - Select Operator [SEL_168] (rows=283692098 width=573) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] - Filter Operator [FIL_167] (rows=283692098 width=466) - predicate:((cs_bill_cdemo_sk BETWEEN DynamicValue(RS_23_cd1_cd_demo_sk_min) AND DynamicValue(RS_23_cd1_cd_demo_sk_max) and in_bloom_filter(cs_bill_cdemo_sk, DynamicValue(RS_23_cd1_cd_demo_sk_bloom_filter))) and (cs_bill_customer_sk BETWEEN DynamicValue(RS_35_customer_c_customer_sk_min) AND DynamicValue(RS_35_customer_c_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_35_customer_c_customer_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_20_date_dim_d_date_sk_min) AND DynamicValue(RS_20_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_20_date_dim_d_date_sk_bloom_filter))) and cs_bill_cdemo_sk is not null and cs_bill_customer_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_8] (rows=287989836 width=466) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_bill_cdemo_sk","cs_item_sk","cs_quantity","cs_list_price","cs_sales_price","cs_coupon_amt","cs_net_profit"] - <-Reducer 15 [BROADCAST_EDGE] vectorized - BROADCAST [RS_156] - Group By Operator [GBY_155] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_154] - Group By Operator [GBY_153] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_152] (rows=652 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_150] - <-Reducer 17 [BROADCAST_EDGE] vectorized - BROADCAST [RS_164] - Group By Operator [GBY_163] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] - <-Map 16 [CUSTOM_SIMPLE_EDGE] vectorized - PARTITION_ONLY_SHUFFLE [RS_162] - Group By Operator [GBY_161] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] - Select Operator [SEL_160] (rows=103433 width=4) - Output:["_col0"] - Please refer to the previous Select Operator [SEL_158] - <-Reducer 7 [BROADCAST_EDGE] vectorized - BROADCAST [RS_166] - Group By Operator [GBY_165] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=4890586)"] - <-Reducer 3 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_117] - Group By Operator [GBY_116] (rows=1 width=12) - Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=4890586)"] - Select Operator [SEL_115] (rows=4959744 width=4) - Output:["_col0"] - Please refer to the previous Merge Join Operator [MERGEJOIN_136] + Merge Join Operator [MERGEJOIN_139] (rows=4890586 width=371) + Conds:RS_147._col2=RS_150._col0(Inner),Output:["_col0","_col1","_col3","_col5","_col6","_col7"] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_147] + PartitionCols:_col2 + Select Operator [SEL_146] (rows=35631408 width=119) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_145] (rows=35631408 width=19) + predicate:((c_birth_month) IN (9, 5, 12, 4, 1, 10) and c_current_addr_sk is not null and c_current_cdemo_sk is not null) + TableScan [TS_0] (rows=80000000 width=19) + default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_current_cdemo_sk","c_current_addr_sk","c_birth_month","c_birth_year"] + <-Map 9 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_150] + PartitionCols:_col0 + Select Operator [SEL_149] (rows=5490196 width=285) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_148] (rows=5490196 width=285) + predicate:(ca_state) IN ('ND', 'WI', 'AL', 'NC', 'OK', 'MS', 'TN') + TableScan [TS_3] (rows=40000000 width=285) + default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_county","ca_state","ca_country"] + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_30] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_141] (rows=15983481 width=639) + Conds:RS_18._col2=RS_161._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col11"] + <-Map 15 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_161] + PartitionCols:_col0 + Select Operator [SEL_160] (rows=103433 width=116) + Output:["_col0","_col1"] + Filter Operator [FIL_159] (rows=103433 width=187) + predicate:((cd_education_status = 'College') and (cd_gender = 'M')) + TableScan [TS_12] (rows=1861800 width=187) + default@customer_demographics,cd1,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk","cd_gender","cd_education_status","cd_dep_count"] + <-Reducer 11 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_140] (rows=100578970 width=565) + Conds:RS_171._col0=RS_153._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] + <-Map 13 [SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_153] + PartitionCols:_col0 + Select Operator [SEL_152] (rows=652 width=4) + Output:["_col0"] + Filter Operator [FIL_151] (rows=652 width=8) + predicate:(d_year = 2001) + TableScan [TS_9] (rows=73049 width=8) + default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year"] + <-Map 10 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_171] + PartitionCols:_col0 + Select Operator [SEL_170] (rows=283692098 width=573) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] + Filter Operator [FIL_169] (rows=283692098 width=466) + predicate:((cs_bill_cdemo_sk BETWEEN DynamicValue(RS_19_cd1_cd_demo_sk_min) AND DynamicValue(RS_19_cd1_cd_demo_sk_max) and in_bloom_filter(cs_bill_cdemo_sk, DynamicValue(RS_19_cd1_cd_demo_sk_bloom_filter))) and (cs_bill_customer_sk BETWEEN DynamicValue(RS_29_customer_c_customer_sk_min) AND DynamicValue(RS_29_customer_c_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_29_customer_c_customer_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_16_date_dim_d_date_sk_min) AND DynamicValue(RS_16_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_16_date_dim_d_date_sk_bloom_filter))) and cs_bill_cdemo_sk is not null and cs_bill_customer_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_6] (rows=287989836 width=466) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_bill_cdemo_sk","cs_item_sk","cs_quantity","cs_list_price","cs_sales_price","cs_coupon_amt","cs_net_profit"] + <-Reducer 14 [BROADCAST_EDGE] vectorized + BROADCAST [RS_158] + Group By Operator [GBY_157] (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 + PARTITION_ONLY_SHUFFLE [RS_156] + Group By Operator [GBY_155] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_154] (rows=652 width=4) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_152] + <-Reducer 16 [BROADCAST_EDGE] vectorized + BROADCAST [RS_166] + Group By Operator [GBY_165] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_164] + Group By Operator [GBY_163] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_162] (rows=103433 width=4) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_160] + <-Reducer 8 [BROADCAST_EDGE] vectorized + BROADCAST [RS_168] + Group By Operator [GBY_167] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=4890586)"] + <-Reducer 2 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_111] + Group By Operator [GBY_110] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=4890586)"] + Select Operator [SEL_109] (rows=4890586 width=4) + Output:["_col0"] + Please refer to the previous Merge Join Operator [MERGEJOIN_139]
