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Posted to commits@hive.apache.org by jc...@apache.org on 2018/07/19 20:59:48 UTC
[10/18] hive git commit: HIVE-17896: TopNKey: Create a standalone
vectorizable TopNKey operator (Teddy Choi,
reviewed by Jesus Camacho Rodriguez)
http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query40.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query40.q.out b/ql/src/test/results/clientpositive/perf/tez/query40.q.out
index 9920ad3..a3b6c03 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query40.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query40.q.out
@@ -71,115 +71,117 @@ Stage-0
limit:100
Stage-1
Reducer 7 vectorized
- File Output Operator [FS_135]
- Limit [LIM_134] (rows=100 width=135)
+ File Output Operator [FS_136]
+ Limit [LIM_135] (rows=100 width=135)
Number of rows:100
- Select Operator [SEL_133] (rows=210822976 width=135)
+ Select Operator [SEL_134] (rows=210822976 width=135)
Output:["_col0","_col1","_col2","_col3"]
<-Reducer 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_132]
- Group By Operator [GBY_131] (rows=210822976 width=135)
+ SHUFFLE [RS_133]
+ Group By Operator [GBY_132] (rows=210822976 width=135)
Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1
<-Reducer 5 [SIMPLE_EDGE]
SHUFFLE [RS_30]
PartitionCols:_col0, _col1
Group By Operator [GBY_29] (rows=421645953 width=135)
Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col2)","sum(_col3)"],keys:_col0, _col1
- Select Operator [SEL_27] (rows=421645953 width=135)
- Output:["_col0","_col1","_col2","_col3"]
- Merge Join Operator [MERGEJOIN_100] (rows=421645953 width=135)
- Conds:RS_24._col1=RS_119._col0(Inner),Output:["_col4","_col7","_col9","_col11","_col14"]
- <-Map 13 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_119]
- PartitionCols:_col0
- Select Operator [SEL_118] (rows=27 width=1029)
- Output:["_col0","_col1"]
- Filter Operator [FIL_117] (rows=27 width=1029)
- predicate:w_warehouse_sk is not null
- TableScan [TS_12] (rows=27 width=1029)
- default@warehouse,warehouse,Tbl:COMPLETE,Col:NONE,Output:["w_warehouse_sk","w_state"]
- <-Reducer 4 [SIMPLE_EDGE]
- SHUFFLE [RS_24]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_99] (rows=383314495 width=135)
- Conds:RS_21._col2=RS_111._col0(Inner),Output:["_col1","_col4","_col7","_col9","_col11"]
- <-Map 11 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_111]
- PartitionCols:_col0
- Select Operator [SEL_110] (rows=51333 width=1436)
- Output:["_col0","_col1"]
- Filter Operator [FIL_109] (rows=51333 width=1436)
- predicate:(i_current_price BETWEEN 0.99 AND 1.49 and i_item_sk is not null)
- TableScan [TS_9] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_current_price"]
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_21]
- PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_98] (rows=348467716 width=135)
- Conds:RS_18._col0=RS_103._col0(Inner),Output:["_col1","_col2","_col4","_col7","_col9"]
- <-Map 9 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_103]
- PartitionCols:_col0
- Select Operator [SEL_102] (rows=8116 width=1119)
- Output:["_col0","_col1"]
- Filter Operator [FIL_101] (rows=8116 width=1119)
- predicate:(CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-09 00:00:00' AND TIMESTAMP'1998-05-08 00:00:00' 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_date"]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_18]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_97] (rows=316788826 width=135)
- Conds:RS_127._col2, _col3=RS_130._col0, _col1(Left Outer),Output:["_col0","_col1","_col2","_col4","_col7"]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_127]
- PartitionCols:_col2, _col3
- Select Operator [SEL_126] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_125] (rows=287989836 width=135)
- predicate:((cs_item_sk BETWEEN DynamicValue(RS_22_item_i_item_sk_min) AND DynamicValue(RS_22_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_22_item_i_item_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_warehouse_sk BETWEEN DynamicValue(RS_25_warehouse_w_warehouse_sk_min) AND DynamicValue(RS_25_warehouse_w_warehouse_sk_max) and in_bloom_filter(cs_warehouse_sk, DynamicValue(RS_25_warehouse_w_warehouse_sk_bloom_filter))) and cs_item_sk is not null and cs_sold_date_sk is not null and cs_warehouse_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_warehouse_sk","cs_item_sk","cs_order_number","cs_sales_price"]
- <-Reducer 10 [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 9 [CUSTOM_SIMPLE_EDGE] vectorized
- 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=8116 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_102]
- <-Reducer 12 [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 11 [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=51333 width=1436)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_110]
- <-Reducer 14 [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 13 [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=27 width=1029)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_118]
- <-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_130]
- PartitionCols:_col0, _col1
- Select Operator [SEL_129] (rows=28798881 width=106)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_128] (rows=28798881 width=106)
- predicate:cr_item_sk is not null
- TableScan [TS_3] (rows=28798881 width=106)
- default@catalog_returns,catalog_returns,Tbl:COMPLETE,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_refunded_cash"]
+ Top N Key Operator [TNK_55] (rows=421645953 width=135)
+ keys:_col0, _col1,sort order:++,top n:100
+ Select Operator [SEL_27] (rows=421645953 width=135)
+ Output:["_col0","_col1","_col2","_col3"]
+ Merge Join Operator [MERGEJOIN_101] (rows=421645953 width=135)
+ Conds:RS_24._col1=RS_120._col0(Inner),Output:["_col4","_col7","_col9","_col11","_col14"]
+ <-Map 13 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_120]
+ PartitionCols:_col0
+ Select Operator [SEL_119] (rows=27 width=1029)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_118] (rows=27 width=1029)
+ predicate:w_warehouse_sk is not null
+ TableScan [TS_12] (rows=27 width=1029)
+ default@warehouse,warehouse,Tbl:COMPLETE,Col:NONE,Output:["w_warehouse_sk","w_state"]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_24]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_100] (rows=383314495 width=135)
+ Conds:RS_21._col2=RS_112._col0(Inner),Output:["_col1","_col4","_col7","_col9","_col11"]
+ <-Map 11 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_112]
+ PartitionCols:_col0
+ Select Operator [SEL_111] (rows=51333 width=1436)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_110] (rows=51333 width=1436)
+ predicate:(i_current_price BETWEEN 0.99 AND 1.49 and i_item_sk is not null)
+ TableScan [TS_9] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_current_price"]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_21]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_99] (rows=348467716 width=135)
+ Conds:RS_18._col0=RS_104._col0(Inner),Output:["_col1","_col2","_col4","_col7","_col9"]
+ <-Map 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_104]
+ PartitionCols:_col0
+ Select Operator [SEL_103] (rows=8116 width=1119)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_102] (rows=8116 width=1119)
+ predicate:(CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1998-03-09 00:00:00' AND TIMESTAMP'1998-05-08 00:00:00' 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_date"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_18]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_98] (rows=316788826 width=135)
+ Conds:RS_128._col2, _col3=RS_131._col0, _col1(Left Outer),Output:["_col0","_col1","_col2","_col4","_col7"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_128]
+ PartitionCols:_col2, _col3
+ Select Operator [SEL_127] (rows=287989836 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_126] (rows=287989836 width=135)
+ predicate:((cs_item_sk BETWEEN DynamicValue(RS_22_item_i_item_sk_min) AND DynamicValue(RS_22_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_22_item_i_item_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_warehouse_sk BETWEEN DynamicValue(RS_25_warehouse_w_warehouse_sk_min) AND DynamicValue(RS_25_warehouse_w_warehouse_sk_max) and in_bloom_filter(cs_warehouse_sk, DynamicValue(RS_25_warehouse_w_warehouse_sk_bloom_filter))) and cs_item_sk is not null and cs_sold_date_sk is not null and cs_warehouse_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_warehouse_sk","cs_item_sk","cs_order_number","cs_sales_price"]
+ <-Reducer 10 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_109]
+ Group By Operator [GBY_108] (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_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=8116 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_103]
+ <-Reducer 12 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_117]
+ Group By Operator [GBY_116] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 11 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_115]
+ Group By Operator [GBY_114] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_113] (rows=51333 width=1436)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_111]
+ <-Reducer 14 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_125]
+ Group By Operator [GBY_124] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 13 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_123]
+ Group By Operator [GBY_122] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_121] (rows=27 width=1029)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_119]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_131]
+ PartitionCols:_col0, _col1
+ Select Operator [SEL_130] (rows=28798881 width=106)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_129] (rows=28798881 width=106)
+ predicate:cr_item_sk is not null
+ TableScan [TS_3] (rows=28798881 width=106)
+ default@catalog_returns,catalog_returns,Tbl:COMPLETE,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_refunded_cash"]
http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query43.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query43.q.out b/ql/src/test/results/clientpositive/perf/tez/query43.q.out
index 394f728..afa3363 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query43.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query43.q.out
@@ -50,76 +50,78 @@ Stage-0
limit:100
Stage-1
Reducer 5 vectorized
- File Output Operator [FS_78]
- Limit [LIM_77] (rows=100 width=88)
+ File Output Operator [FS_79]
+ Limit [LIM_78] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_76] (rows=348477374 width=88)
+ Select Operator [SEL_77] (rows=348477374 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
<-Reducer 4 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_75]
- Group By Operator [GBY_74] (rows=348477374 width=88)
+ SHUFFLE [RS_76]
+ Group By Operator [GBY_75] (rows=348477374 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)"],keys:KEY._col0, KEY._col1
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_18]
PartitionCols:_col0, _col1
Group By Operator [GBY_17] (rows=696954748 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)","sum(_col5)","sum(_col6)","sum(_col7)","sum(_col8)"],keys:_col0, _col1
- Select Operator [SEL_15] (rows=696954748 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
- Merge Join Operator [MERGEJOIN_54] (rows=696954748 width=88)
- Conds:RS_12._col1=RS_65._col0(Inner),Output:["_col2","_col5","_col7","_col8"]
- <-Map 8 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_65]
- PartitionCols:_col0
- Select Operator [SEL_64] (rows=852 width=1910)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_63] (rows=852 width=1910)
- predicate:((s_gmt_offset = -6) and s_store_sk is not null)
- TableScan [TS_6] (rows=1704 width=1910)
- default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name","s_gmt_offset"]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_12]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_53] (rows=633595212 width=88)
- Conds:RS_73._col0=RS_57._col0(Inner),Output:["_col1","_col2","_col5"]
- <-Map 6 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_57]
- PartitionCols:_col0
- Select Operator [SEL_56] (rows=36524 width=1119)
- Output:["_col0","_col2"]
- Filter Operator [FIL_55] (rows=36524 width=1119)
- predicate:((d_year = 1998) 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_year","d_day_name"]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_73]
- PartitionCols:_col0
- Select Operator [SEL_72] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_71] (rows=575995635 width=88)
- predicate:((ss_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(ss_sold_date_sk, DynamicValue(RS_10_date_dim_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_13_store_s_store_sk_min) AND DynamicValue(RS_13_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_13_store_s_store_sk_bloom_filter))) 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_store_sk","ss_sales_price"]
- <-Reducer 7 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_62]
- Group By Operator [GBY_61] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 6 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_60]
- Group By Operator [GBY_59] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_58] (rows=36524 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_56]
- <-Reducer 9 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_70]
- Group By Operator [GBY_69] (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_68]
- Group By Operator [GBY_67] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_66] (rows=852 width=1910)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_64]
+ Top N Key Operator [TNK_33] (rows=696954748 width=88)
+ keys:_col0, _col1,sort order:++,top n:100
+ Select Operator [SEL_15] (rows=696954748 width=88)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_55] (rows=696954748 width=88)
+ Conds:RS_12._col1=RS_66._col0(Inner),Output:["_col2","_col5","_col7","_col8"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_66]
+ PartitionCols:_col0
+ Select Operator [SEL_65] (rows=852 width=1910)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_64] (rows=852 width=1910)
+ predicate:((s_gmt_offset = -6) and s_store_sk is not null)
+ TableScan [TS_6] (rows=1704 width=1910)
+ default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name","s_gmt_offset"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_12]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_54] (rows=633595212 width=88)
+ Conds:RS_74._col0=RS_58._col0(Inner),Output:["_col1","_col2","_col5"]
+ <-Map 6 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_58]
+ PartitionCols:_col0
+ Select Operator [SEL_57] (rows=36524 width=1119)
+ Output:["_col0","_col2"]
+ Filter Operator [FIL_56] (rows=36524 width=1119)
+ predicate:((d_year = 1998) 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_year","d_day_name"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_74]
+ PartitionCols:_col0
+ Select Operator [SEL_73] (rows=575995635 width=88)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_72] (rows=575995635 width=88)
+ predicate:((ss_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(ss_sold_date_sk, DynamicValue(RS_10_date_dim_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_13_store_s_store_sk_min) AND DynamicValue(RS_13_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_13_store_s_store_sk_bloom_filter))) 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_store_sk","ss_sales_price"]
+ <-Reducer 7 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_63]
+ Group By Operator [GBY_62] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 6 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_61]
+ Group By Operator [GBY_60] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_59] (rows=36524 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_57]
+ <-Reducer 9 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_71]
+ Group By Operator [GBY_70] (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_69]
+ Group By Operator [GBY_68] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_67] (rows=852 width=1910)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_65]
http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query45.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query45.q.out b/ql/src/test/results/clientpositive/perf/tez/query45.q.out
index c9d820b..edb047d 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query45.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query45.q.out
@@ -1,4 +1,4 @@
-Warning: Shuffle Join MERGEJOIN[132][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3]] in Stage 'Reducer 4' is a cross product
+Warning: Shuffle Join MERGEJOIN[133][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3]] in Stage 'Reducer 4' is a cross product
PREHOOK: query: explain
select ca_zip, ca_county, sum(ws_sales_price)
from web_sales, customer, customer_address, date_dim, item
@@ -59,147 +59,149 @@ Stage-0
limit:100
Stage-1
Reducer 6 vectorized
- File Output Operator [FS_172]
- Limit [LIM_171] (rows=100 width=152)
+ File Output Operator [FS_173]
+ Limit [LIM_172] (rows=100 width=152)
Number of rows:100
- Select Operator [SEL_170] (rows=95833781 width=152)
+ Select Operator [SEL_171] (rows=95833781 width=152)
Output:["_col0","_col1","_col2"]
<-Reducer 5 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_169]
- Group By Operator [GBY_168] (rows=95833781 width=152)
+ SHUFFLE [RS_170]
+ Group By Operator [GBY_169] (rows=95833781 width=152)
Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1
<-Reducer 4 [SIMPLE_EDGE]
SHUFFLE [RS_53]
PartitionCols:_col0, _col1
Group By Operator [GBY_52] (rows=191667562 width=152)
Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col8, _col7
- Select Operator [SEL_51] (rows=191667562 width=152)
- Output:["_col3","_col7","_col8"]
- Filter Operator [FIL_50] (rows=191667562 width=152)
- predicate:((substr(_col8, 1, 5)) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792') or CASE WHEN ((_col14 = 0L)) THEN (false) WHEN (_col17 is not null) THEN (true) WHEN (_col13 is null) THEN (null) WHEN ((_col15 < _col14)) THEN (null) ELSE (false) END)
- Select Operator [SEL_49] (rows=191667562 width=152)
- Output:["_col3","_col7","_col8","_col13","_col14","_col15","_col17"]
- Merge Join Operator [MERGEJOIN_132] (rows=191667562 width=152)
- Conds:(Inner),Output:["_col3","_col4","_col6","_col8","_col12","_col16","_col17"]
- <-Reducer 13 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_167]
- Group By Operator [GBY_166] (rows=1 width=16)
- Output:["_col0","_col1"],aggregations:["count(VALUE._col0)","count(VALUE._col1)"]
- <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_149]
- Group By Operator [GBY_147] (rows=1 width=16)
- Output:["_col0","_col1"],aggregations:["count()","count(i_item_id)"]
- Select Operator [SEL_144] (rows=231000 width=1436)
- Output:["i_item_id"]
- Filter Operator [FIL_141] (rows=231000 width=1436)
- predicate:(i_item_sk) IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)
- TableScan [TS_6] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"]
- <-Reducer 3 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_46]
- Merge Join Operator [MERGEJOIN_131] (rows=191667562 width=135)
- Conds:RS_43._col0=RS_44._col6(Inner),Output:["_col3","_col4","_col6","_col8","_col12"]
- <-Reducer 10 [SIMPLE_EDGE]
- SHUFFLE [RS_44]
- PartitionCols:_col6
- Merge Join Operator [MERGEJOIN_130] (rows=174243235 width=135)
- Conds:RS_29._col0=RS_30._col1(Inner),Output:["_col1","_col3","_col6","_col7"]
- <-Reducer 9 [SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_29]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_128] (rows=508200 width=1436)
- Conds:RS_145._col1=RS_152._col0(Left Outer),Output:["_col0","_col1","_col3"]
- <-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_145]
- PartitionCols:_col1
- Select Operator [SEL_142] (rows=462000 width=1436)
- Output:["_col0","_col1"]
- Filter Operator [FIL_139] (rows=462000 width=1436)
- predicate:i_item_sk is not null
- Please refer to the previous TableScan [TS_6]
- <-Reducer 12 [ONE_TO_ONE_EDGE] vectorized
- FORWARD [RS_152]
- PartitionCols:_col0
- Select Operator [SEL_151] (rows=115500 width=1436)
- Output:["_col0","_col1"]
- Group By Operator [GBY_150] (rows=115500 width=1436)
- Output:["_col0"],keys:KEY._col0
- <-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_148]
- PartitionCols:_col0
- Group By Operator [GBY_146] (rows=231000 width=1436)
- Output:["_col0"],keys:i_item_id
- Select Operator [SEL_143] (rows=231000 width=1436)
- Output:["i_item_id"]
- Filter Operator [FIL_140] (rows=231000 width=1436)
- predicate:(i_item_sk) IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)
- Please refer to the previous TableScan [TS_6]
- <-Reducer 15 [SIMPLE_EDGE]
- SHUFFLE [RS_30]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_129] (rows=158402938 width=135)
- Conds:RS_165._col0=RS_155._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 16 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_155]
- PartitionCols:_col0
- Select Operator [SEL_154] (rows=18262 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_153] (rows=18262 width=1119)
- predicate:((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null)
- TableScan [TS_19] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"]
- <-Map 14 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_165]
- PartitionCols:_col0
- Select Operator [SEL_164] (rows=144002668 width=135)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_163] (rows=144002668 width=135)
- predicate:((ws_item_sk BETWEEN DynamicValue(RS_29_item_i_item_sk_min) AND DynamicValue(RS_29_item_i_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_29_item_i_item_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_23_date_dim_d_date_sk_min) AND DynamicValue(RS_23_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_23_date_dim_d_date_sk_bloom_filter))) and ws_bill_customer_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null)
- TableScan [TS_16] (rows=144002668 width=135)
- default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_bill_customer_sk","ws_sales_price"]
- <-Reducer 11 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_162]
- Group By Operator [GBY_161] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Reducer 9 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_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=508200 width=1436)
- Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_128]
- <-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_160]
- Group By Operator [GBY_159] (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_158]
- Group By Operator [GBY_157] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_156] (rows=18262 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_154]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_43]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_127] (rows=88000001 width=860)
- Conds:RS_135._col1=RS_138._col0(Inner),Output:["_col0","_col3","_col4"]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_135]
- PartitionCols:_col1
- Select Operator [SEL_134] (rows=80000000 width=860)
- Output:["_col0","_col1"]
- Filter Operator [FIL_133] (rows=80000000 width=860)
- predicate:(c_current_addr_sk is not null and c_customer_sk is not null)
- TableScan [TS_0] (rows=80000000 width=860)
- default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"]
- <-Map 7 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_138]
- PartitionCols:_col0
- Select Operator [SEL_137] (rows=40000000 width=1014)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_136] (rows=40000000 width=1014)
- predicate:ca_address_sk is not null
- TableScan [TS_3] (rows=40000000 width=1014)
- default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_county","ca_zip"]
+ Top N Key Operator [TNK_82] (rows=191667562 width=152)
+ keys:_col8, _col7,sort order:++,top n:100
+ Select Operator [SEL_51] (rows=191667562 width=152)
+ Output:["_col3","_col7","_col8"]
+ Filter Operator [FIL_50] (rows=191667562 width=152)
+ predicate:((substr(_col8, 1, 5)) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792') or CASE WHEN ((_col14 = 0L)) THEN (false) WHEN (_col17 is not null) THEN (true) WHEN (_col13 is null) THEN (null) WHEN ((_col15 < _col14)) THEN (null) ELSE (false) END)
+ Select Operator [SEL_49] (rows=191667562 width=152)
+ Output:["_col3","_col7","_col8","_col13","_col14","_col15","_col17"]
+ Merge Join Operator [MERGEJOIN_133] (rows=191667562 width=152)
+ Conds:(Inner),Output:["_col3","_col4","_col6","_col8","_col12","_col16","_col17"]
+ <-Reducer 13 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_168]
+ Group By Operator [GBY_167] (rows=1 width=16)
+ Output:["_col0","_col1"],aggregations:["count(VALUE._col0)","count(VALUE._col1)"]
+ <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_150]
+ Group By Operator [GBY_148] (rows=1 width=16)
+ Output:["_col0","_col1"],aggregations:["count()","count(i_item_id)"]
+ Select Operator [SEL_145] (rows=231000 width=1436)
+ Output:["i_item_id"]
+ Filter Operator [FIL_142] (rows=231000 width=1436)
+ predicate:(i_item_sk) IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)
+ TableScan [TS_6] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"]
+ <-Reducer 3 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_46]
+ Merge Join Operator [MERGEJOIN_132] (rows=191667562 width=135)
+ Conds:RS_43._col0=RS_44._col6(Inner),Output:["_col3","_col4","_col6","_col8","_col12"]
+ <-Reducer 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_44]
+ PartitionCols:_col6
+ Merge Join Operator [MERGEJOIN_131] (rows=174243235 width=135)
+ Conds:RS_29._col0=RS_30._col1(Inner),Output:["_col1","_col3","_col6","_col7"]
+ <-Reducer 9 [SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_29]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_129] (rows=508200 width=1436)
+ Conds:RS_146._col1=RS_153._col0(Left Outer),Output:["_col0","_col1","_col3"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_146]
+ PartitionCols:_col1
+ Select Operator [SEL_143] (rows=462000 width=1436)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_140] (rows=462000 width=1436)
+ predicate:i_item_sk is not null
+ Please refer to the previous TableScan [TS_6]
+ <-Reducer 12 [ONE_TO_ONE_EDGE] vectorized
+ FORWARD [RS_153]
+ PartitionCols:_col0
+ Select Operator [SEL_152] (rows=115500 width=1436)
+ Output:["_col0","_col1"]
+ Group By Operator [GBY_151] (rows=115500 width=1436)
+ Output:["_col0"],keys:KEY._col0
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_149]
+ PartitionCols:_col0
+ Group By Operator [GBY_147] (rows=231000 width=1436)
+ Output:["_col0"],keys:i_item_id
+ Select Operator [SEL_144] (rows=231000 width=1436)
+ Output:["i_item_id"]
+ Filter Operator [FIL_141] (rows=231000 width=1436)
+ predicate:(i_item_sk) IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29)
+ Please refer to the previous TableScan [TS_6]
+ <-Reducer 15 [SIMPLE_EDGE]
+ SHUFFLE [RS_30]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_130] (rows=158402938 width=135)
+ Conds:RS_166._col0=RS_156._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 16 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_156]
+ PartitionCols:_col0
+ Select Operator [SEL_155] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_154] (rows=18262 width=1119)
+ predicate:((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null)
+ TableScan [TS_19] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"]
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_166]
+ PartitionCols:_col0
+ Select Operator [SEL_165] (rows=144002668 width=135)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_164] (rows=144002668 width=135)
+ predicate:((ws_item_sk BETWEEN DynamicValue(RS_29_item_i_item_sk_min) AND DynamicValue(RS_29_item_i_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_29_item_i_item_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_23_date_dim_d_date_sk_min) AND DynamicValue(RS_23_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_23_date_dim_d_date_sk_bloom_filter))) and ws_bill_customer_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null)
+ TableScan [TS_16] (rows=144002668 width=135)
+ default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_bill_customer_sk","ws_sales_price"]
+ <-Reducer 11 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_163]
+ Group By Operator [GBY_162] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Reducer 9 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_115]
+ Group By Operator [GBY_114] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_113] (rows=508200 width=1436)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_129]
+ <-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=1000000)"]
+ <-Map 16 [CUSTOM_SIMPLE_EDGE] vectorized
+ 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=18262 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_155]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_43]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_128] (rows=88000001 width=860)
+ Conds:RS_136._col1=RS_139._col0(Inner),Output:["_col0","_col3","_col4"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_136]
+ PartitionCols:_col1
+ Select Operator [SEL_135] (rows=80000000 width=860)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_134] (rows=80000000 width=860)
+ predicate:(c_current_addr_sk is not null and c_customer_sk is not null)
+ TableScan [TS_0] (rows=80000000 width=860)
+ default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"]
+ <-Map 7 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_139]
+ PartitionCols:_col0
+ Select Operator [SEL_138] (rows=40000000 width=1014)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_137] (rows=40000000 width=1014)
+ predicate:ca_address_sk is not null
+ TableScan [TS_3] (rows=40000000 width=1014)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_county","ca_zip"]