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Posted to commits@hive.apache.org by jd...@apache.org on 2016/05/05 20:10:57 UTC
[18/20] hive git commit: HIVE-13639: CBO rule to pull up constants
through Union (Jesus Camacho Rodriguez, reviewed by Ashutosh Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/09271872/ql/src/test/results/clientpositive/perf/query75.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query75.q.out b/ql/src/test/results/clientpositive/perf/query75.q.out
index 15c46c2..731ff62 100644
--- a/ql/src/test/results/clientpositive/perf/query75.q.out
+++ b/ql/src/test/results/clientpositive/perf/query75.q.out
@@ -41,363 +41,367 @@ Stage-0
<-Reducer 7 [SIMPLE_EDGE]
SHUFFLE [RS_153]
Select Operator [SEL_152] (rows=169103 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
+ Output:["_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
Filter Operator [FIL_151] (rows=169103 width=1436)
predicate:(UDFToDouble((CAST( _col5 AS decimal(17,2)) / CAST( _col12 AS decimal(17,2)))) < 0.9)
Merge Join Operator [MERGEJOIN_259] (rows=507310 width=1436)
- Conds:RS_148._col1, _col2, _col3, _col4=RS_149._col1, _col2, _col3, _col4(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col12","_col13"]
+ Conds:RS_148._col1, _col2, _col3, _col4=RS_149._col1, _col2, _col3, _col4(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col12","_col13"]
<-Reducer 31 [SIMPLE_EDGE]
SHUFFLE [RS_149]
PartitionCols:_col1, _col2, _col3, _col4
- Group By Operator [GBY_146] (rows=461191 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4
- <-Union 30 [SIMPLE_EDGE]
- <-Reducer 29 [CONTAINS]
- Reduce Output Operator [RS_145]
- PartitionCols:_col0, _col1, _col2, _col3, _col4
- Group By Operator [GBY_144] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4
- Select Operator [SEL_142] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_95] (rows=307461 width=1436)
+ Select Operator [SEL_147] (rows=461191 width=1436)
+ Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
+ Group By Operator [GBY_146] (rows=461191 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:2001, KEY._col1, KEY._col2, KEY._col3, KEY._col4
+ <-Union 30 [SIMPLE_EDGE]
+ <-Reducer 29 [CONTAINS]
+ Reduce Output Operator [RS_145]
+ PartitionCols:2001, _col1, _col2, _col3, _col4
+ Group By Operator [GBY_144] (rows=922383 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2001, _col1, _col2, _col3, _col4
+ Select Operator [SEL_142] (rows=922383 width=1436)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Merge Join Operator [MERGEJOIN_252] (rows=307461 width=1436)
- Conds:RS_92._col2, _col1=RS_93._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
- <-Map 34 [SIMPLE_EDGE]
- SHUFFLE [RS_93]
- PartitionCols:_col1, _col0
- Select Operator [SEL_85] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_232] (rows=1 width=0)
- predicate:cr_item_sk is not null
- TableScan [TS_83] (rows=1 width=0)
- default@catalog_returns,catalog_returns,Tbl:PARTIAL,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_return_quantity","cr_return_amount"]
- <-Reducer 28 [SIMPLE_EDGE]
- SHUFFLE [RS_92]
- PartitionCols:_col2, _col1
- Merge Join Operator [MERGEJOIN_251] (rows=279510 width=1436)
- Conds:RS_89._col0=RS_90._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 33 [SIMPLE_EDGE]
- SHUFFLE [RS_90]
- PartitionCols:_col0
- Select Operator [SEL_82] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_231] (rows=36524 width=1119)
- predicate:((d_year = 2001) and d_date_sk is not null)
- TableScan [TS_80] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
- <-Reducer 27 [SIMPLE_EDGE]
- SHUFFLE [RS_89]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_250] (rows=254100 width=1436)
- Conds:RS_86._col1=RS_87._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 26 [SIMPLE_EDGE]
- SHUFFLE [RS_86]
- PartitionCols:_col1
- Select Operator [SEL_76] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_229] (rows=1 width=0)
- predicate:(cs_item_sk is not null and cs_sold_date_sk is not null)
- TableScan [TS_74] (rows=1 width=0)
- default@catalog_sales,catalog_sales,Tbl:PARTIAL,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_order_number","cs_quantity","cs_ext_sales_price"]
- <-Map 32 [SIMPLE_EDGE]
- SHUFFLE [RS_87]
- PartitionCols:_col0
- Select Operator [SEL_79] (rows=231000 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col5"]
- Filter Operator [FIL_230] (rows=231000 width=1436)
- predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
- TableScan [TS_77] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
- <-Reducer 38 [CONTAINS]
- Reduce Output Operator [RS_145]
- PartitionCols:_col0, _col1, _col2, _col3, _col4
- Group By Operator [GBY_144] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4
- Select Operator [SEL_142] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_117] (rows=307461 width=1436)
+ Select Operator [SEL_95] (rows=307461 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_252] (rows=307461 width=1436)
+ Conds:RS_92._col2, _col1=RS_93._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
+ <-Map 34 [SIMPLE_EDGE]
+ SHUFFLE [RS_93]
+ PartitionCols:_col1, _col0
+ Select Operator [SEL_85] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_232] (rows=1 width=0)
+ predicate:cr_item_sk is not null
+ TableScan [TS_83] (rows=1 width=0)
+ default@catalog_returns,catalog_returns,Tbl:PARTIAL,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_return_quantity","cr_return_amount"]
+ <-Reducer 28 [SIMPLE_EDGE]
+ SHUFFLE [RS_92]
+ PartitionCols:_col2, _col1
+ Merge Join Operator [MERGEJOIN_251] (rows=279510 width=1436)
+ Conds:RS_89._col0=RS_90._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 33 [SIMPLE_EDGE]
+ SHUFFLE [RS_90]
+ PartitionCols:_col0
+ Select Operator [SEL_82] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_231] (rows=36524 width=1119)
+ predicate:((d_year = 2001) and d_date_sk is not null)
+ TableScan [TS_80] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
+ <-Reducer 27 [SIMPLE_EDGE]
+ SHUFFLE [RS_89]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_250] (rows=254100 width=1436)
+ Conds:RS_86._col1=RS_87._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 26 [SIMPLE_EDGE]
+ SHUFFLE [RS_86]
+ PartitionCols:_col1
+ Select Operator [SEL_76] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_229] (rows=1 width=0)
+ predicate:(cs_item_sk is not null and cs_sold_date_sk is not null)
+ TableScan [TS_74] (rows=1 width=0)
+ default@catalog_sales,catalog_sales,Tbl:PARTIAL,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_order_number","cs_quantity","cs_ext_sales_price"]
+ <-Map 32 [SIMPLE_EDGE]
+ SHUFFLE [RS_87]
+ PartitionCols:_col0
+ Select Operator [SEL_79] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_230] (rows=231000 width=1436)
+ predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
+ TableScan [TS_77] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
+ <-Reducer 38 [CONTAINS]
+ Reduce Output Operator [RS_145]
+ PartitionCols:2001, _col1, _col2, _col3, _col4
+ Group By Operator [GBY_144] (rows=922383 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2001, _col1, _col2, _col3, _col4
+ Select Operator [SEL_142] (rows=922383 width=1436)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Merge Join Operator [MERGEJOIN_255] (rows=307461 width=1436)
- Conds:RS_114._col2, _col1=RS_115._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
- <-Map 41 [SIMPLE_EDGE]
- SHUFFLE [RS_115]
- PartitionCols:_col1, _col0
- Select Operator [SEL_107] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_236] (rows=1 width=0)
- predicate:sr_item_sk is not null
- TableScan [TS_105] (rows=1 width=0)
- default@store_returns,store_returns,Tbl:PARTIAL,Col:NONE,Output:["sr_item_sk","sr_ticket_number","sr_return_quantity","sr_return_amt"]
- <-Reducer 37 [SIMPLE_EDGE]
- SHUFFLE [RS_114]
- PartitionCols:_col2, _col1
- Merge Join Operator [MERGEJOIN_254] (rows=279510 width=1436)
- Conds:RS_111._col0=RS_112._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 40 [SIMPLE_EDGE]
- SHUFFLE [RS_112]
- PartitionCols:_col0
- Select Operator [SEL_104] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_235] (rows=36524 width=1119)
- predicate:((d_year = 2001) and d_date_sk is not null)
- TableScan [TS_102] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
- <-Reducer 36 [SIMPLE_EDGE]
- SHUFFLE [RS_111]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_253] (rows=254100 width=1436)
- Conds:RS_108._col1=RS_109._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 35 [SIMPLE_EDGE]
- SHUFFLE [RS_108]
- PartitionCols:_col1
- Select Operator [SEL_98] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_233] (rows=1 width=0)
- predicate:(ss_item_sk is not null and ss_sold_date_sk is not null)
- TableScan [TS_96] (rows=1 width=0)
- default@store_sales,store_sales,Tbl:PARTIAL,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ticket_number","ss_quantity","ss_ext_sales_price"]
- <-Map 39 [SIMPLE_EDGE]
- SHUFFLE [RS_109]
- PartitionCols:_col0
- Select Operator [SEL_101] (rows=231000 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col5"]
- Filter Operator [FIL_234] (rows=231000 width=1436)
- predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
- TableScan [TS_99] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
- <-Reducer 45 [CONTAINS]
- Reduce Output Operator [RS_145]
- PartitionCols:_col0, _col1, _col2, _col3, _col4
- Group By Operator [GBY_144] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4
- Select Operator [SEL_142] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_141] (rows=307461 width=1436)
+ Select Operator [SEL_117] (rows=307461 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_255] (rows=307461 width=1436)
+ Conds:RS_114._col2, _col1=RS_115._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
+ <-Map 41 [SIMPLE_EDGE]
+ SHUFFLE [RS_115]
+ PartitionCols:_col1, _col0
+ Select Operator [SEL_107] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_236] (rows=1 width=0)
+ predicate:sr_item_sk is not null
+ TableScan [TS_105] (rows=1 width=0)
+ default@store_returns,store_returns,Tbl:PARTIAL,Col:NONE,Output:["sr_item_sk","sr_ticket_number","sr_return_quantity","sr_return_amt"]
+ <-Reducer 37 [SIMPLE_EDGE]
+ SHUFFLE [RS_114]
+ PartitionCols:_col2, _col1
+ Merge Join Operator [MERGEJOIN_254] (rows=279510 width=1436)
+ Conds:RS_111._col0=RS_112._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 40 [SIMPLE_EDGE]
+ SHUFFLE [RS_112]
+ PartitionCols:_col0
+ Select Operator [SEL_104] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_235] (rows=36524 width=1119)
+ predicate:((d_year = 2001) and d_date_sk is not null)
+ TableScan [TS_102] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
+ <-Reducer 36 [SIMPLE_EDGE]
+ SHUFFLE [RS_111]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_253] (rows=254100 width=1436)
+ Conds:RS_108._col1=RS_109._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 35 [SIMPLE_EDGE]
+ SHUFFLE [RS_108]
+ PartitionCols:_col1
+ Select Operator [SEL_98] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_233] (rows=1 width=0)
+ predicate:(ss_item_sk is not null and ss_sold_date_sk is not null)
+ TableScan [TS_96] (rows=1 width=0)
+ default@store_sales,store_sales,Tbl:PARTIAL,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ticket_number","ss_quantity","ss_ext_sales_price"]
+ <-Map 39 [SIMPLE_EDGE]
+ SHUFFLE [RS_109]
+ PartitionCols:_col0
+ Select Operator [SEL_101] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_234] (rows=231000 width=1436)
+ predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
+ TableScan [TS_99] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
+ <-Reducer 45 [CONTAINS]
+ Reduce Output Operator [RS_145]
+ PartitionCols:2001, _col1, _col2, _col3, _col4
+ Group By Operator [GBY_144] (rows=922383 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2001, _col1, _col2, _col3, _col4
+ Select Operator [SEL_142] (rows=922383 width=1436)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Merge Join Operator [MERGEJOIN_258] (rows=307461 width=1436)
- Conds:RS_138._col2, _col1=RS_139._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
- <-Map 48 [SIMPLE_EDGE]
- SHUFFLE [RS_139]
- PartitionCols:_col1, _col0
- Select Operator [SEL_131] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_240] (rows=1 width=0)
- predicate:wr_item_sk is not null
- TableScan [TS_129] (rows=1 width=0)
- default@web_returns,web_returns,Tbl:PARTIAL,Col:NONE,Output:["wr_item_sk","wr_order_number","wr_return_quantity","wr_return_amt"]
- <-Reducer 44 [SIMPLE_EDGE]
- SHUFFLE [RS_138]
- PartitionCols:_col2, _col1
- Merge Join Operator [MERGEJOIN_257] (rows=279510 width=1436)
- Conds:RS_135._col0=RS_136._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 47 [SIMPLE_EDGE]
- SHUFFLE [RS_136]
- PartitionCols:_col0
- Select Operator [SEL_128] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_239] (rows=36524 width=1119)
- predicate:((d_year = 2001) and d_date_sk is not null)
- TableScan [TS_126] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
- <-Reducer 43 [SIMPLE_EDGE]
- SHUFFLE [RS_135]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_256] (rows=254100 width=1436)
- Conds:RS_132._col1=RS_133._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 42 [SIMPLE_EDGE]
- SHUFFLE [RS_132]
- PartitionCols:_col1
- Select Operator [SEL_122] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_237] (rows=1 width=0)
- predicate:(ws_item_sk is not null and ws_sold_date_sk is not null)
- TableScan [TS_120] (rows=1 width=0)
- default@web_sales,web_sales,Tbl:PARTIAL,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_order_number","ws_quantity","ws_ext_sales_price"]
- <-Map 46 [SIMPLE_EDGE]
- SHUFFLE [RS_133]
- PartitionCols:_col0
- Select Operator [SEL_125] (rows=231000 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col5"]
- Filter Operator [FIL_238] (rows=231000 width=1436)
- predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
- TableScan [TS_123] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
+ Select Operator [SEL_141] (rows=307461 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_258] (rows=307461 width=1436)
+ Conds:RS_138._col2, _col1=RS_139._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
+ <-Map 48 [SIMPLE_EDGE]
+ SHUFFLE [RS_139]
+ PartitionCols:_col1, _col0
+ Select Operator [SEL_131] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_240] (rows=1 width=0)
+ predicate:wr_item_sk is not null
+ TableScan [TS_129] (rows=1 width=0)
+ default@web_returns,web_returns,Tbl:PARTIAL,Col:NONE,Output:["wr_item_sk","wr_order_number","wr_return_quantity","wr_return_amt"]
+ <-Reducer 44 [SIMPLE_EDGE]
+ SHUFFLE [RS_138]
+ PartitionCols:_col2, _col1
+ Merge Join Operator [MERGEJOIN_257] (rows=279510 width=1436)
+ Conds:RS_135._col0=RS_136._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 47 [SIMPLE_EDGE]
+ SHUFFLE [RS_136]
+ PartitionCols:_col0
+ Select Operator [SEL_128] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_239] (rows=36524 width=1119)
+ predicate:((d_year = 2001) and d_date_sk is not null)
+ TableScan [TS_126] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
+ <-Reducer 43 [SIMPLE_EDGE]
+ SHUFFLE [RS_135]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_256] (rows=254100 width=1436)
+ Conds:RS_132._col1=RS_133._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 42 [SIMPLE_EDGE]
+ SHUFFLE [RS_132]
+ PartitionCols:_col1
+ Select Operator [SEL_122] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_237] (rows=1 width=0)
+ predicate:(ws_item_sk is not null and ws_sold_date_sk is not null)
+ TableScan [TS_120] (rows=1 width=0)
+ default@web_sales,web_sales,Tbl:PARTIAL,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_order_number","ws_quantity","ws_ext_sales_price"]
+ <-Map 46 [SIMPLE_EDGE]
+ SHUFFLE [RS_133]
+ PartitionCols:_col0
+ Select Operator [SEL_125] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_238] (rows=231000 width=1436)
+ predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
+ TableScan [TS_123] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
<-Reducer 6 [SIMPLE_EDGE]
SHUFFLE [RS_148]
PartitionCols:_col1, _col2, _col3, _col4
- Group By Operator [GBY_72] (rows=461191 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4
- <-Union 5 [SIMPLE_EDGE]
- <-Reducer 15 [CONTAINS]
- Reduce Output Operator [RS_71]
- PartitionCols:_col0, _col1, _col2, _col3, _col4
- Group By Operator [GBY_70] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4
- Select Operator [SEL_68] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_43] (rows=307461 width=1436)
+ Select Operator [SEL_73] (rows=461191 width=1436)
+ Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
+ Group By Operator [GBY_72] (rows=461191 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:2002, KEY._col1, KEY._col2, KEY._col3, KEY._col4
+ <-Union 5 [SIMPLE_EDGE]
+ <-Reducer 15 [CONTAINS]
+ Reduce Output Operator [RS_71]
+ PartitionCols:2002, _col1, _col2, _col3, _col4
+ Group By Operator [GBY_70] (rows=922383 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2002, _col1, _col2, _col3, _col4
+ Select Operator [SEL_68] (rows=922383 width=1436)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Merge Join Operator [MERGEJOIN_246] (rows=307461 width=1436)
- Conds:RS_40._col2, _col1=RS_41._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
- <-Map 18 [SIMPLE_EDGE]
- SHUFFLE [RS_41]
- PartitionCols:_col1, _col0
- Select Operator [SEL_33] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_224] (rows=1 width=0)
- predicate:sr_item_sk is not null
- TableScan [TS_31] (rows=1 width=0)
- default@store_returns,store_returns,Tbl:PARTIAL,Col:NONE,Output:["sr_item_sk","sr_ticket_number","sr_return_quantity","sr_return_amt"]
- <-Reducer 14 [SIMPLE_EDGE]
- SHUFFLE [RS_40]
- PartitionCols:_col2, _col1
- Merge Join Operator [MERGEJOIN_245] (rows=279510 width=1436)
- Conds:RS_37._col0=RS_38._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 17 [SIMPLE_EDGE]
- SHUFFLE [RS_38]
- PartitionCols:_col0
- Select Operator [SEL_30] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_223] (rows=36524 width=1119)
- predicate:((d_year = 2002) and d_date_sk is not null)
- TableScan [TS_28] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
- <-Reducer 13 [SIMPLE_EDGE]
- SHUFFLE [RS_37]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_244] (rows=254100 width=1436)
- Conds:RS_34._col1=RS_35._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 12 [SIMPLE_EDGE]
- SHUFFLE [RS_34]
- PartitionCols:_col1
- Select Operator [SEL_24] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_221] (rows=1 width=0)
- predicate:(ss_item_sk is not null and ss_sold_date_sk is not null)
- TableScan [TS_22] (rows=1 width=0)
- default@store_sales,store_sales,Tbl:PARTIAL,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ticket_number","ss_quantity","ss_ext_sales_price"]
- <-Map 16 [SIMPLE_EDGE]
- SHUFFLE [RS_35]
- PartitionCols:_col0
- Select Operator [SEL_27] (rows=231000 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col5"]
- Filter Operator [FIL_222] (rows=231000 width=1436)
- predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
- TableScan [TS_25] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
- <-Reducer 22 [CONTAINS]
- Reduce Output Operator [RS_71]
- PartitionCols:_col0, _col1, _col2, _col3, _col4
- Group By Operator [GBY_70] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4
- Select Operator [SEL_68] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_67] (rows=307461 width=1436)
+ Select Operator [SEL_43] (rows=307461 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_246] (rows=307461 width=1436)
+ Conds:RS_40._col2, _col1=RS_41._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
+ <-Map 18 [SIMPLE_EDGE]
+ SHUFFLE [RS_41]
+ PartitionCols:_col1, _col0
+ Select Operator [SEL_33] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_224] (rows=1 width=0)
+ predicate:sr_item_sk is not null
+ TableScan [TS_31] (rows=1 width=0)
+ default@store_returns,store_returns,Tbl:PARTIAL,Col:NONE,Output:["sr_item_sk","sr_ticket_number","sr_return_quantity","sr_return_amt"]
+ <-Reducer 14 [SIMPLE_EDGE]
+ SHUFFLE [RS_40]
+ PartitionCols:_col2, _col1
+ Merge Join Operator [MERGEJOIN_245] (rows=279510 width=1436)
+ Conds:RS_37._col0=RS_38._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 17 [SIMPLE_EDGE]
+ SHUFFLE [RS_38]
+ PartitionCols:_col0
+ Select Operator [SEL_30] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_223] (rows=36524 width=1119)
+ predicate:((d_year = 2002) and d_date_sk is not null)
+ TableScan [TS_28] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
+ <-Reducer 13 [SIMPLE_EDGE]
+ SHUFFLE [RS_37]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_244] (rows=254100 width=1436)
+ Conds:RS_34._col1=RS_35._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_34]
+ PartitionCols:_col1
+ Select Operator [SEL_24] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_221] (rows=1 width=0)
+ predicate:(ss_item_sk is not null and ss_sold_date_sk is not null)
+ TableScan [TS_22] (rows=1 width=0)
+ default@store_sales,store_sales,Tbl:PARTIAL,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ticket_number","ss_quantity","ss_ext_sales_price"]
+ <-Map 16 [SIMPLE_EDGE]
+ SHUFFLE [RS_35]
+ PartitionCols:_col0
+ Select Operator [SEL_27] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_222] (rows=231000 width=1436)
+ predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
+ TableScan [TS_25] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
+ <-Reducer 22 [CONTAINS]
+ Reduce Output Operator [RS_71]
+ PartitionCols:2002, _col1, _col2, _col3, _col4
+ Group By Operator [GBY_70] (rows=922383 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2002, _col1, _col2, _col3, _col4
+ Select Operator [SEL_68] (rows=922383 width=1436)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Merge Join Operator [MERGEJOIN_249] (rows=307461 width=1436)
- Conds:RS_64._col2, _col1=RS_65._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
- <-Map 25 [SIMPLE_EDGE]
- SHUFFLE [RS_65]
- PartitionCols:_col1, _col0
- Select Operator [SEL_57] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_228] (rows=1 width=0)
- predicate:wr_item_sk is not null
- TableScan [TS_55] (rows=1 width=0)
- default@web_returns,web_returns,Tbl:PARTIAL,Col:NONE,Output:["wr_item_sk","wr_order_number","wr_return_quantity","wr_return_amt"]
- <-Reducer 21 [SIMPLE_EDGE]
- SHUFFLE [RS_64]
- PartitionCols:_col2, _col1
- Merge Join Operator [MERGEJOIN_248] (rows=279510 width=1436)
- Conds:RS_61._col0=RS_62._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 24 [SIMPLE_EDGE]
- SHUFFLE [RS_62]
- PartitionCols:_col0
- Select Operator [SEL_54] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_227] (rows=36524 width=1119)
- predicate:((d_year = 2002) and d_date_sk is not null)
- TableScan [TS_52] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
- <-Reducer 20 [SIMPLE_EDGE]
- SHUFFLE [RS_61]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_247] (rows=254100 width=1436)
- Conds:RS_58._col1=RS_59._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 19 [SIMPLE_EDGE]
- SHUFFLE [RS_58]
- PartitionCols:_col1
- Select Operator [SEL_48] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_225] (rows=1 width=0)
- predicate:(ws_item_sk is not null and ws_sold_date_sk is not null)
- TableScan [TS_46] (rows=1 width=0)
- default@web_sales,web_sales,Tbl:PARTIAL,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_order_number","ws_quantity","ws_ext_sales_price"]
- <-Map 23 [SIMPLE_EDGE]
- SHUFFLE [RS_59]
- PartitionCols:_col0
- Select Operator [SEL_51] (rows=231000 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col5"]
- Filter Operator [FIL_226] (rows=231000 width=1436)
- predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
- TableScan [TS_49] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
- <-Reducer 4 [CONTAINS]
- Reduce Output Operator [RS_71]
- PartitionCols:_col0, _col1, _col2, _col3, _col4
- Group By Operator [GBY_70] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col0, _col1, _col2, _col3, _col4
- Select Operator [SEL_68] (rows=922383 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_21] (rows=307461 width=1436)
+ Select Operator [SEL_67] (rows=307461 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_249] (rows=307461 width=1436)
+ Conds:RS_64._col2, _col1=RS_65._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
+ <-Map 25 [SIMPLE_EDGE]
+ SHUFFLE [RS_65]
+ PartitionCols:_col1, _col0
+ Select Operator [SEL_57] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_228] (rows=1 width=0)
+ predicate:wr_item_sk is not null
+ TableScan [TS_55] (rows=1 width=0)
+ default@web_returns,web_returns,Tbl:PARTIAL,Col:NONE,Output:["wr_item_sk","wr_order_number","wr_return_quantity","wr_return_amt"]
+ <-Reducer 21 [SIMPLE_EDGE]
+ SHUFFLE [RS_64]
+ PartitionCols:_col2, _col1
+ Merge Join Operator [MERGEJOIN_248] (rows=279510 width=1436)
+ Conds:RS_61._col0=RS_62._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 24 [SIMPLE_EDGE]
+ SHUFFLE [RS_62]
+ PartitionCols:_col0
+ Select Operator [SEL_54] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_227] (rows=36524 width=1119)
+ predicate:((d_year = 2002) and d_date_sk is not null)
+ TableScan [TS_52] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
+ <-Reducer 20 [SIMPLE_EDGE]
+ SHUFFLE [RS_61]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_247] (rows=254100 width=1436)
+ Conds:RS_58._col1=RS_59._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 19 [SIMPLE_EDGE]
+ SHUFFLE [RS_58]
+ PartitionCols:_col1
+ Select Operator [SEL_48] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_225] (rows=1 width=0)
+ predicate:(ws_item_sk is not null and ws_sold_date_sk is not null)
+ TableScan [TS_46] (rows=1 width=0)
+ default@web_sales,web_sales,Tbl:PARTIAL,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_order_number","ws_quantity","ws_ext_sales_price"]
+ <-Map 23 [SIMPLE_EDGE]
+ SHUFFLE [RS_59]
+ PartitionCols:_col0
+ Select Operator [SEL_51] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_226] (rows=231000 width=1436)
+ predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
+ TableScan [TS_49] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
+ <-Reducer 4 [CONTAINS]
+ Reduce Output Operator [RS_71]
+ PartitionCols:2002, _col1, _col2, _col3, _col4
+ Group By Operator [GBY_70] (rows=922383 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col6)"],keys:2002, _col1, _col2, _col3, _col4
+ Select Operator [SEL_68] (rows=922383 width=1436)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Merge Join Operator [MERGEJOIN_243] (rows=307461 width=1436)
- Conds:RS_18._col2, _col1=RS_19._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
- <-Map 11 [SIMPLE_EDGE]
- SHUFFLE [RS_19]
- PartitionCols:_col1, _col0
- Select Operator [SEL_11] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_220] (rows=1 width=0)
- predicate:cr_item_sk is not null
- TableScan [TS_9] (rows=1 width=0)
- default@catalog_returns,catalog_returns,Tbl:PARTIAL,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_return_quantity","cr_return_amount"]
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_18]
- PartitionCols:_col2, _col1
- Merge Join Operator [MERGEJOIN_242] (rows=279510 width=1436)
- Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 10 [SIMPLE_EDGE]
- SHUFFLE [RS_16]
- PartitionCols:_col0
- Select Operator [SEL_8] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_219] (rows=36524 width=1119)
- predicate:((d_year = 2002) 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_15]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_241] (rows=254100 width=1436)
- Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
- <-Map 1 [SIMPLE_EDGE]
- SHUFFLE [RS_12]
- PartitionCols:_col1
- Select Operator [SEL_2] (rows=1 width=0)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_217] (rows=1 width=0)
- predicate:(cs_item_sk is not null and cs_sold_date_sk is not null)
- TableScan [TS_0] (rows=1 width=0)
- default@catalog_sales,catalog_sales,Tbl:PARTIAL,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_order_number","cs_quantity","cs_ext_sales_price"]
- <-Map 9 [SIMPLE_EDGE]
- SHUFFLE [RS_13]
- PartitionCols:_col0
- Select Operator [SEL_5] (rows=231000 width=1436)
- Output:["_col0","_col1","_col2","_col3","_col5"]
- Filter Operator [FIL_218] (rows=231000 width=1436)
- predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
- TableScan [TS_3] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
+ Select Operator [SEL_21] (rows=307461 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_243] (rows=307461 width=1436)
+ Conds:RS_18._col2, _col1=RS_19._col1, _col0(Left Outer),Output:["_col3","_col4","_col6","_col7","_col8","_col10","_col15","_col16"]
+ <-Map 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_19]
+ PartitionCols:_col1, _col0
+ Select Operator [SEL_11] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_220] (rows=1 width=0)
+ predicate:cr_item_sk is not null
+ TableScan [TS_9] (rows=1 width=0)
+ default@catalog_returns,catalog_returns,Tbl:PARTIAL,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_return_quantity","cr_return_amount"]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_18]
+ PartitionCols:_col2, _col1
+ Merge Join Operator [MERGEJOIN_242] (rows=279510 width=1436)
+ Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_16]
+ PartitionCols:_col0
+ Select Operator [SEL_8] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_219] (rows=36524 width=1119)
+ predicate:((d_year = 2002) 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_15]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_241] (rows=254100 width=1436)
+ Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10"]
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_12]
+ PartitionCols:_col1
+ Select Operator [SEL_2] (rows=1 width=0)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_217] (rows=1 width=0)
+ predicate:(cs_item_sk is not null and cs_sold_date_sk is not null)
+ TableScan [TS_0] (rows=1 width=0)
+ default@catalog_sales,catalog_sales,Tbl:PARTIAL,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_order_number","cs_quantity","cs_ext_sales_price"]
+ <-Map 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_13]
+ PartitionCols:_col0
+ Select Operator [SEL_5] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_218] (rows=231000 width=1436)
+ predicate:((i_category = 'Sports') and i_item_sk is not null and i_brand_id is not null and i_class_id is not null and i_category_id is not null and i_manufact_id is not null)
+ TableScan [TS_3] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_class_id","i_category_id","i_category","i_manufact_id"]
http://git-wip-us.apache.org/repos/asf/hive/blob/09271872/ql/src/test/results/clientpositive/spark/union_remove_25.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/union_remove_25.q.out b/ql/src/test/results/clientpositive/spark/union_remove_25.q.out
index 190bea5..eb95cad 100644
--- a/ql/src/test/results/clientpositive/spark/union_remove_25.q.out
+++ b/ql/src/test/results/clientpositive/spark/union_remove_25.q.out
@@ -458,21 +458,17 @@ STAGE PLANS:
Number of rows: 1000
Statistics: Num rows: 1000 Data size: 10000 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
- outputColumnNames: _col0, _col1, _col3
- Statistics: Num rows: 1000 Data size: 10000 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: _col0 (type: string), UDFToLong(_col1) (type: bigint), '2008-04-08' (type: string), _col3 (type: string)
- outputColumnNames: _col0, _col1, _col2, _col3
+ expressions: _col0 (type: string), UDFToLong(_col1) (type: bigint), '2008-04-08' (type: string), _col2 (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE
- File Output Operator
- compressed: false
- Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE
- table:
- input format: org.apache.hadoop.mapred.TextInputFormat
- output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
- serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
- name: default.outputtbl3
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ name: default.outputtbl3
Reducer 4
Reduce Operator Tree:
Select Operator
@@ -483,21 +479,17 @@ STAGE PLANS:
Number of rows: 1000
Statistics: Num rows: 1000 Data size: 10000 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string)
- outputColumnNames: _col0, _col1, _col3
- Statistics: Num rows: 1000 Data size: 10000 Basic stats: COMPLETE Column stats: NONE
- Select Operator
- expressions: _col0 (type: string), UDFToLong(_col1) (type: bigint), '2008-04-08' (type: string), _col3 (type: string)
- outputColumnNames: _col0, _col1, _col2, _col3
+ expressions: _col0 (type: string), UDFToLong(_col1) (type: bigint), '2008-04-08' (type: string), _col2 (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE
- File Output Operator
- compressed: false
- Statistics: Num rows: 2000 Data size: 20000 Basic stats: COMPLETE Column stats: NONE
- table:
- input format: org.apache.hadoop.mapred.TextInputFormat
- output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
- serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
- name: default.outputtbl3
+ table:
+ input format: org.apache.hadoop.mapred.TextInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ name: default.outputtbl3
Stage: Stage-0
Move Operator
http://git-wip-us.apache.org/repos/asf/hive/blob/09271872/ql/src/test/results/clientpositive/spark/union_view.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/spark/union_view.q.out b/ql/src/test/results/clientpositive/spark/union_view.q.out
index 402d9fd..3372afb 100644
--- a/ql/src/test/results/clientpositive/spark/union_view.q.out
+++ b/ql/src/test/results/clientpositive/spark/union_view.q.out
@@ -272,10 +272,10 @@ STAGE PLANS:
Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '1' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '1' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -296,10 +296,10 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '1' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '1' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -320,10 +320,10 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '1' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '1' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -360,10 +360,10 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '2' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '2' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -384,10 +384,10 @@ STAGE PLANS:
Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '2' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '2' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -408,10 +408,10 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '2' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '2' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -448,10 +448,10 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '3' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '3' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -472,10 +472,10 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '3' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '3' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -496,10 +496,10 @@ STAGE PLANS:
Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '3' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '3' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 502 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -538,10 +538,10 @@ STAGE PLANS:
Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: value (type: string), ds (type: string)
- outputColumnNames: _col1, _col2
+ outputColumnNames: _col0, _col1
Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: _col1 (type: string), _col2 (type: string)
+ expressions: _col0 (type: string), _col1 (type: string)
outputColumnNames: _col1, _col2
Statistics: Num rows: 1250 Data size: 13280 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
@@ -560,10 +560,10 @@ STAGE PLANS:
Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: value (type: string), ds (type: string)
- outputColumnNames: _col1, _col2
+ outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: _col1 (type: string), _col2 (type: string)
+ expressions: _col0 (type: string), _col1 (type: string)
outputColumnNames: _col1, _col2
Statistics: Num rows: 1250 Data size: 13280 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
@@ -582,10 +582,10 @@ STAGE PLANS:
Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: value (type: string), ds (type: string)
- outputColumnNames: _col1, _col2
+ outputColumnNames: _col0, _col1
Statistics: Num rows: 500 Data size: 5312 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: _col1 (type: string), _col2 (type: string)
+ expressions: _col0 (type: string), _col1 (type: string)
outputColumnNames: _col1, _col2
Statistics: Num rows: 1250 Data size: 13280 Basic stats: COMPLETE Column stats: NONE
Reduce Output Operator
@@ -931,10 +931,10 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '4' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '4' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -955,10 +955,10 @@ STAGE PLANS:
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '4' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '4' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
File Output Operator
@@ -979,10 +979,10 @@ STAGE PLANS:
Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
Select Operator
expressions: value (type: string)
- outputColumnNames: _col1
+ outputColumnNames: _col0
Statistics: Num rows: 250 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
Select Operator
- expressions: 86 (type: int), _col1 (type: string), '4' (type: string)
+ expressions: 86 (type: int), _col0 (type: string), '4' (type: string)
outputColumnNames: _col0, _col1, _col2
Statistics: Num rows: 252 Data size: 2656 Basic stats: COMPLETE Column stats: NONE
File Output Operator