http://git-wip-us.apache.org/repos/asf/hive/blob/f2c4f319/ql/src/test/results/clientpositive/perf/tez/query12.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query12.q.out b/ql/src/test/results/clientpositive/perf/tez/query12.q.out index 6e304aa..4771dcf 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query12.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query12.q.out @@ -65,72 +65,97 @@ POSTHOOK: type: QUERY Plan optimized by CBO. Vertex dependency in root stage +Map 1 <- Reducer 10 (BROADCAST_EDGE), Reducer 8 (BROADCAST_EDGE) +Reducer 10 <- Map 9 (CUSTOM_SIMPLE_EDGE) Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) -Reducer 3 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) Reducer 4 <- Reducer 3 (SIMPLE_EDGE) Reducer 5 <- Reducer 4 (SIMPLE_EDGE) Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 8 <- Map 7 (CUSTOM_SIMPLE_EDGE) Stage-0 Fetch Operator limit:-1 Stage-1 Reducer 6 vectorized - File Output Operator [FS_56] - Limit [LIM_55] (rows=100 width=135) + File Output Operator [FS_86] + Limit [LIM_85] (rows=100 width=135) Number of rows:100 - Select Operator [SEL_54] (rows=87121617 width=135) + Select Operator [SEL_84] (rows=87121617 width=135) Output:["_col0","_col1","_col2","_col3","_col4","_col5"] <-Reducer 5 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_53] - Select Operator [SEL_52] (rows=87121617 width=135) + SHUFFLE [RS_83] + Select Operator [SEL_82] (rows=87121617 width=135) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - PTF Operator [PTF_51] (rows=87121617 width=135) + PTF Operator [PTF_81] (rows=87121617 width=135) Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col1 ASC NULLS FIRST","partition by:":"_col1"}] - Select Operator [SEL_50] (rows=87121617 width=135) + Select Operator [SEL_80] (rows=87121617 width=135) Output:["_col0","_col1","_col2","_col3","_col4","_col5"] <-Reducer 4 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_49] + SHUFFLE [RS_79] PartitionCols:_col1 - Group By Operator [GBY_48] (rows=87121617 width=135) + Group By Operator [GBY_78] (rows=87121617 width=135) Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4 <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_17] PartitionCols:_col0, _col1, _col2, _col3, _col4 Group By Operator [GBY_16] (rows=174243235 width=135) Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col2)"],keys:_col10, _col9, _col6, _col7, _col8 - Merge Join Operator [MERGEJOIN_38] (rows=174243235 width=135) - Conds:RS_12._col1=RS_47._col0(Inner),Output:["_col2","_col6","_col7","_col8","_col9","_col10"] - <-Map 8 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_47] + Merge Join Operator [MERGEJOIN_58] (rows=174243235 width=135) + Conds:RS_12._col1=RS_69._col0(Inner),Output:["_col2","_col6","_col7","_col8","_col9","_col10"] + <-Map 9 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_69] PartitionCols:_col0 - Select Operator [SEL_46] (rows=231000 width=1436) + Select Operator [SEL_68] (rows=231000 width=1436) Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_45] (rows=231000 width=1436) + Filter Operator [FIL_67] (rows=231000 width=1436) predicate:((i_category) IN ('Jewelry', 'Sports', 'Books') and i_item_sk is not null) TableScan [TS_6] (rows=462000 width=1436) default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc","i_current_price","i_class","i_category"] <-Reducer 2 [SIMPLE_EDGE] SHUFFLE [RS_12] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_37] (rows=158402938 width=135) - Conds:RS_41._col0=RS_44._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_41] - PartitionCols:_col0 - Select Operator [SEL_40] (rows=144002668 width=135) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_39] (rows=144002668 width=135) - predicate:(ws_item_sk is not null and ws_sold_date_sk is not null) - TableScan [TS_0] (rows=144002668 width=135) - default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_ext_sales_price"] + Merge Join Operator [MERGEJOIN_57] (rows=158402938 width=135) + Conds:RS_77._col0=RS_61._col0(Inner),Output:["_col1","_col2"] <-Map 7 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_44] + PARTITION_ONLY_SHUFFLE [RS_61] PartitionCols:_col0 - Select Operator [SEL_43] (rows=8116 width=1119) + Select Operator [SEL_60] (rows=8116 width=1119) Output:["_col0"] - Filter Operator [FIL_42] (rows=8116 width=1119) + Filter Operator [FIL_59] (rows=8116 width=1119) predicate:(CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2001-01-12 00:00:00.0' AND TIMESTAMP'2001-02-11 00:00:00.0' and d_date_sk is not null) TableScan [TS_3] (rows=73049 width=1119) default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date"] + <-Map 1 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_77] + PartitionCols:_col0 + Select Operator [SEL_76] (rows=144002668 width=135) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_75] (rows=144002668 width=135) + predicate:((ws_item_sk BETWEEN DynamicValue(RS_13_item_i_item_sk_min) AND DynamicValue(RS_13_item_i_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_13_item_i_item_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_10_date_dim_d_date_sk_min) AND DynamicValue(RS_10_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_10_date_dim_d_date_sk_bloom_filter))) and ws_item_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_0] (rows=144002668 width=135) + default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_ext_sales_price"] + <-Reducer 10 [BROADCAST_EDGE] vectorized + BROADCAST [RS_74] + Group By Operator [GBY_73] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 9 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_72] + Group By Operator [GBY_71] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_70] (rows=231000 width=1436) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_68] + <-Reducer 8 [BROADCAST_EDGE] vectorized + BROADCAST [RS_66] + Group By Operator [GBY_65] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 7 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_64] + Group By Operator [GBY_63] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_62] (rows=8116 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_60]
http://git-wip-us.apache.org/repos/asf/hive/blob/f2c4f319/ql/src/test/results/clientpositive/perf/tez/query13.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query13.q.out b/ql/src/test/results/clientpositive/perf/tez/query13.q.out index d0ed3d8..5cd4e27 100644 --- a/ql/src/test/results/clientpositive/perf/tez/query13.q.out +++ b/ql/src/test/results/clientpositive/perf/tez/query13.q.out @@ -101,22 +101,28 @@ POSTHOOK: type: QUERY Plan optimized by CBO. Vertex dependency in root stage -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Map 10 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Map 11 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Map 12 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) +Map 9 <- Reducer 11 (BROADCAST_EDGE), Reducer 13 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE), Reducer 8 (BROADCAST_EDGE) +Reducer 11 <- Map 10 (CUSTOM_SIMPLE_EDGE) +Reducer 13 <- Map 12 (CUSTOM_SIMPLE_EDGE) +Reducer 15 <- Map 14 (CUSTOM_SIMPLE_EDGE) +Reducer 17 <- Map 16 (CUSTOM_SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) +Reducer 3 <- Map 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 12 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Map 14 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Map 16 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) Reducer 7 <- Reducer 6 (CUSTOM_SIMPLE_EDGE) +Reducer 8 <- Map 1 (CUSTOM_SIMPLE_EDGE) Stage-0 Fetch Operator limit:-1 Stage-1 Reducer 7 vectorized - File Output Operator [FS_92] - Select Operator [SEL_91] (rows=1 width=256) + File Output Operator [FS_167] + Select Operator [SEL_166] (rows=1 width=256) Output:["_col0","_col1","_col2","_col3"] - Group By Operator [GBY_90] (rows=1 width=256) + Group By Operator [GBY_165] (rows=1 width=256) Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","sum(VALUE._col2)","count(VALUE._col3)","sum(VALUE._col4)","count(VALUE._col5)"] <-Reducer 6 [CUSTOM_SIMPLE_EDGE] PARTITION_ONLY_SHUFFLE [RS_37] @@ -126,14 +132,14 @@ Stage-0 Output:["_col6","_col8","_col9"] Filter Operator [FIL_34] (rows=715776 width=88) predicate:(((_col19 = 'D') and (_col20 = 'Primary') and _col7 BETWEEN 50 AND 100 and (_col14 = 1)) or ((_col19 = 'M') and (_col20 = '4 yr Degree') and _col7 BETWEEN 100 AND 150 and (_col14 = 3)) or ((_col19 = 'U') and (_col20 = 'Advanced Degree') and _col7 BETWEEN 150 AND 200 and (_col14 = 1))) - Merge Join Operator [MERGEJOIN_71] (rows=17178642 width=88) - Conds:RS_31._col2=RS_89._col0(Inner),Output:["_col6","_col7","_col8","_col9","_col14","_col19","_col20"] - <-Map 12 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_89] + Merge Join Operator [MERGEJOIN_121] (rows=17178642 width=88) + Conds:RS_31._col2=RS_156._col0(Inner),Output:["_col6","_col7","_col8","_col9","_col14","_col19","_col20"] + <-Map 16 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_156] PartitionCols:_col0 - Select Operator [SEL_88] (rows=1861800 width=385) + Select Operator [SEL_155] (rows=1861800 width=385) Output:["_col0","_col1","_col2"] - Filter Operator [FIL_87] (rows=1861800 width=385) + Filter Operator [FIL_154] (rows=1861800 width=385) predicate:(((cd_education_status = '4 yr Degree') or (cd_education_status = 'Primary') or (cd_education_status = 'Advanced Degree')) and ((cd_marital_status = 'M') or (cd_marital_status = 'D') or (cd_marital_status = 'U')) and cd_demo_sk is not null) TableScan [TS_15] (rows=1861800 width=385) default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_marital_status","cd_education_status"] @@ -142,66 +148,121 @@ Stage-0 PartitionCols:_col2 Filter Operator [FIL_30] (rows=15616947 width=88) predicate:(((_col16) IN ('KY', 'GA', 'NM') and _col10 BETWEEN 100 AND 200) or ((_col16) IN ('MT', 'OR', 'IN') and _col10 BETWEEN 150 AND 300) or ((_col16) IN ('WI', 'MO', 'WV') and _col10 BETWEEN 50 AND 250)) - Merge Join Operator [MERGEJOIN_70] (rows=93701693 width=88) - Conds:RS_27._col4=RS_86._col0(Inner),Output:["_col2","_col6","_col7","_col8","_col9","_col10","_col14","_col16"] - <-Map 11 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_86] + Merge Join Operator [MERGEJOIN_120] (rows=93701693 width=88) + Conds:RS_27._col4=RS_148._col0(Inner),Output:["_col2","_col6","_col7","_col8","_col9","_col10","_col14","_col16"] + <-Map 14 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_148] PartitionCols:_col0 - Select Operator [SEL_85] (rows=10000000 width=1014) + Select Operator [SEL_147] (rows=10000000 width=1014) Output:["_col0","_col1"] - Filter Operator [FIL_84] (rows=10000000 width=1014) + Filter Operator [FIL_146] (rows=10000000 width=1014) predicate:((ca_country = 'United States') and (ca_state) IN ('KY', 'GA', 'NM', 'MT', 'OR', 'IN', 'WI', 'MO', 'WV') and ca_address_sk is not null) TableScan [TS_12] (rows=40000000 width=1014) default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state","ca_country"] <-Reducer 4 [SIMPLE_EDGE] SHUFFLE [RS_27] PartitionCols:_col4 - Merge Join Operator [MERGEJOIN_69] (rows=85183356 width=88) - Conds:RS_24._col3=RS_83._col0(Inner),Output:["_col2","_col4","_col6","_col7","_col8","_col9","_col10","_col14"] - <-Map 10 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_83] + Merge Join Operator [MERGEJOIN_119] (rows=85183356 width=88) + Conds:RS_24._col3=RS_140._col0(Inner),Output:["_col2","_col4","_col6","_col7","_col8","_col9","_col10","_col14"] + <-Map 12 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_140] PartitionCols:_col0 - Select Operator [SEL_82] (rows=7200 width=107) + Select Operator [SEL_139] (rows=7200 width=107) Output:["_col0","_col1"] - Filter Operator [FIL_81] (rows=7200 width=107) + Filter Operator [FIL_138] (rows=7200 width=107) predicate:(((hd_dep_count = 3) or (hd_dep_count = 1)) and hd_demo_sk is not null) TableScan [TS_9] (rows=7200 width=107) default@household_demographics,household_demographics,Tbl:COMPLETE,Col:NONE,Output:["hd_demo_sk","hd_dep_count"] <-Reducer 3 [SIMPLE_EDGE] SHUFFLE [RS_24] PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_68] (rows=77439413 width=88) - Conds:RS_21._col1=RS_80._col0(Inner),Output:["_col2","_col3","_col4","_col6","_col7","_col8","_col9","_col10"] - <-Map 9 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_80] + Merge Join Operator [MERGEJOIN_118] (rows=77439413 width=88) + Conds:RS_21._col1=RS_132._col0(Inner),Output:["_col2","_col3","_col4","_col6","_col7","_col8","_col9","_col10"] + <-Map 10 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_132] PartitionCols:_col0 - Select Operator [SEL_79] (rows=36524 width=1119) + Select Operator [SEL_131] (rows=36524 width=1119) Output:["_col0"] - Filter Operator [FIL_78] (rows=36524 width=1119) + Filter Operator [FIL_130] (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_21] PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_67] (rows=70399465 width=88) - Conds:RS_74._col0=RS_77._col4(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col9","_col10"] + Merge Join Operator [MERGEJOIN_117] (rows=70399465 width=88) + Conds:RS_124._col0=RS_164._col4(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col9","_col10"] <-Map 1 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_74] + PARTITION_ONLY_SHUFFLE [RS_124] PartitionCols:_col0 - Select Operator [SEL_73] (rows=1704 width=1910) + Select Operator [SEL_123] (rows=1704 width=1910) Output:["_col0"] - Filter Operator [FIL_72] (rows=1704 width=1910) + Filter Operator [FIL_122] (rows=1704 width=1910) predicate:s_store_sk is not null TableScan [TS_0] (rows=1704 width=1910) default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk"] - <-Map 8 [SIMPLE_EDGE] vectorized - SHUFFLE [RS_77] + <-Map 9 [SIMPLE_EDGE] vectorized + SHUFFLE [RS_164] PartitionCols:_col4 - Select Operator [SEL_76] (rows=63999513 width=88) + Select Operator [SEL_163] (rows=63999513 width=88) Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"] - Filter Operator [FIL_75] (rows=63999513 width=88) - predicate:((ss_net_profit BETWEEN 100 AND 200 or ss_net_profit BETWEEN 150 AND 300 or ss_net_profit BETWEEN 50 AND 250) and (ss_sales_price BETWEEN 100 AND 150 or ss_sales_price BETWEEN 50 AND 100 or ss_sales_price BETWEEN 150 AND 200) and ss_addr_sk is not null and ss_cdemo_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) + Filter Operator [FIL_162] (rows=63999513 width=88) + predicate:((ss_addr_sk BETWEEN DynamicValue(RS_28_customer_address_ca_address_sk_min) AND DynamicValue(RS_28_customer_address_ca_address_sk_max) and in_bloom_filter(ss_addr_sk, DynamicValue(RS_28_customer_address_ca_address_sk_bloom_filter))) and (ss_cdemo_sk BETWEEN DynamicValue(RS_32_customer_demographics_cd_demo_sk_min) AND DynamicValue(RS_32_customer_demographics_cd_demo_sk_max) and in_bloom_filter(ss_cdemo_sk, DynamicValue(RS_32_customer_demographics_cd_demo_sk_bloom_filter))) and (ss_hdemo_sk BETWEEN DynamicValue(RS_25_household_demographics_hd_demo_sk_min) AND DynamicValue(RS_25_household_demographics_hd_demo_sk_max) and in_bloom_filter(ss_hdemo_sk, DynamicValue(RS_25_household_demographics_hd_demo_sk_bloom_filter))) and (ss_net_profit BETWEEN 100 AND 200 or ss_net_profit BETWEEN 150 AND 300 or ss_net_profit BETWEEN 50 AND 250) and (ss_sales_price BETWEEN 100 AND 150 or ss_sales_price BETWEEN 50 AND 100 or ss_sales_price BETWEEN 1 50 AND 200) and (ss_sold_date_sk BETWEEN DynamicValue(RS_22_date_dim_d_date_sk_min) AND DynamicValue(RS_22_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_22_date_dim_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_18_store_s_store_sk_min) AND DynamicValue(RS_18_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_18_store_s_store_sk_bloom_filter))) and ss_addr_sk is not null and ss_cdemo_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) TableScan [TS_3] (rows=575995635 width=88) default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_cdemo_sk","ss_hdemo_sk","ss_addr_sk","ss_store_sk","ss_quantity","ss_sales_price","ss_ext_sales_price","ss_ext_wholesale_cost","ss_net_profit"] + <-Reducer 11 [BROADCAST_EDGE] vectorized + BROADCAST [RS_137] + Group By Operator [GBY_136] (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_135] + Group By Operator [GBY_134] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_133] (rows=36524 width=1119) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_131] + <-Reducer 13 [BROADCAST_EDGE] vectorized + BROADCAST [RS_145] + Group By Operator [GBY_144] (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_143] + Group By Operator [GBY_142] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_141] (rows=7200 width=107) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_139] + <-Reducer 15 [BROADCAST_EDGE] vectorized + BROADCAST [RS_153] + Group By Operator [GBY_152] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=10000000)"] + <-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized + SHUFFLE [RS_151] + Group By Operator [GBY_150] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=10000000)"] + Select Operator [SEL_149] (rows=10000000 width=1014) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_147] + <-Reducer 17 [BROADCAST_EDGE] vectorized + BROADCAST [RS_161] + Group By Operator [GBY_160] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1861800)"] + <-Map 16 [CUSTOM_SIMPLE_EDGE] vectorized + 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=1861800)"] + Select Operator [SEL_157] (rows=1861800 width=385) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_155] + <-Reducer 8 [BROADCAST_EDGE] vectorized + BROADCAST [RS_129] + Group By Operator [GBY_128] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"] + <-Map 1 [CUSTOM_SIMPLE_EDGE] vectorized + PARTITION_ONLY_SHUFFLE [RS_127] + Group By Operator [GBY_126] (rows=1 width=12) + Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"] + Select Operator [SEL_125] (rows=1704 width=1910) + Output:["_col0"] + Please refer to the previous Select Operator [SEL_123]
