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Posted to commits@hive.apache.org by ha...@apache.org on 2016/05/06 20:55:57 UTC
[05/15] hive git commit: HIVE-13542 : Missing stats for tables in
TPCDS performance regression suite (Hari Subramaniyan via Ashutosh Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/db8a6db9/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 731ff62..e44a48e 100644
--- a/ql/src/test/results/clientpositive/perf/query75.q.out
+++ b/ql/src/test/results/clientpositive/perf/query75.q.out
@@ -34,374 +34,374 @@ Stage-0
Stage-1
Reducer 8
File Output Operator [FS_156]
- Limit [LIM_155] (rows=100 width=1436)
+ Limit [LIM_155] (rows=100 width=108)
Number of rows:100
- Select Operator [SEL_154] (rows=169103 width=1436)
+ Select Operator [SEL_154] (rows=245965926 width=108)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
<-Reducer 7 [SIMPLE_EDGE]
SHUFFLE [RS_153]
- Select Operator [SEL_152] (rows=169103 width=1436)
+ Select Operator [SEL_152] (rows=245965926 width=108)
Output:["_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
- Filter Operator [FIL_151] (rows=169103 width=1436)
+ Filter Operator [FIL_151] (rows=245965926 width=108)
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)
+ Merge Join Operator [MERGEJOIN_259] (rows=737897778 width=108)
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
- Select Operator [SEL_147] (rows=461191 width=1436)
+ Select Operator [SEL_147] (rows=670816148 width=108)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Group By Operator [GBY_146] (rows=461191 width=1436)
+ Group By Operator [GBY_146] (rows=670816148 width=108)
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)
+ Group By Operator [GBY_144] (rows=1341632296 width=108)
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)
+ Select Operator [SEL_142] (rows=1341632296 width=108)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_95] (rows=307461 width=1436)
+ Select Operator [SEL_95] (rows=383314495 width=135)
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"]
+ Merge Join Operator [MERGEJOIN_252] (rows=383314495 width=135)
+ Conds:RS_92._col2, _col1=RS_93._col1, _col0(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"]
<-Map 34 [SIMPLE_EDGE]
SHUFFLE [RS_93]
PartitionCols:_col1, _col0
- Select Operator [SEL_85] (rows=1 width=0)
+ Select Operator [SEL_85] (rows=28798881 width=106)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_232] (rows=1 width=0)
+ Filter Operator [FIL_232] (rows=28798881 width=106)
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"]
+ TableScan [TS_83] (rows=28798881 width=106)
+ default@catalog_returns,catalog_returns,Tbl:COMPLETE,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"]
+ Merge Join Operator [MERGEJOIN_251] (rows=348467716 width=135)
+ Conds:RS_89._col1=RS_90._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"]
<-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"]
+ Select Operator [SEL_82] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_231] (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_80] (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 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"]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_250] (rows=316788826 width=135)
+ Conds:RS_86._col0=RS_87._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
<-Map 26 [SIMPLE_EDGE]
SHUFFLE [RS_86]
- PartitionCols:_col1
- Select Operator [SEL_76] (rows=1 width=0)
+ PartitionCols:_col0
+ Select Operator [SEL_76] (rows=287989836 width=135)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_229] (rows=1 width=0)
+ Filter Operator [FIL_229] (rows=287989836 width=135)
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"]
+ TableScan [TS_74] (rows=287989836 width=135)
+ default@catalog_sales,catalog_sales,Tbl:COMPLETE,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"]
+ Select Operator [SEL_79] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_230] (rows=36524 width=1119)
+ predicate:((d_year = 2001) and d_date_sk is not null)
+ TableScan [TS_77] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
<-Reducer 38 [CONTAINS]
Reduce Output Operator [RS_145]
PartitionCols:2001, _col1, _col2, _col3, _col4
- Group By Operator [GBY_144] (rows=922383 width=1436)
+ Group By Operator [GBY_144] (rows=1341632296 width=108)
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)
+ Select Operator [SEL_142] (rows=1341632296 width=108)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_117] (rows=307461 width=1436)
+ Select Operator [SEL_117] (rows=766650239 width=88)
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"]
+ Merge Join Operator [MERGEJOIN_255] (rows=766650239 width=88)
+ Conds:RS_114._col2, _col1=RS_115._col1, _col0(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"]
<-Map 41 [SIMPLE_EDGE]
SHUFFLE [RS_115]
PartitionCols:_col1, _col0
- Select Operator [SEL_107] (rows=1 width=0)
+ Select Operator [SEL_107] (rows=57591150 width=77)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_236] (rows=1 width=0)
+ Filter Operator [FIL_236] (rows=57591150 width=77)
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"]
+ TableScan [TS_105] (rows=57591150 width=77)
+ default@store_returns,store_returns,Tbl:COMPLETE,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"]
+ Merge Join Operator [MERGEJOIN_254] (rows=696954748 width=88)
+ Conds:RS_111._col1=RS_112._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"]
<-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"]
+ Select Operator [SEL_104] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_235] (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_102] (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 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"]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_253] (rows=633595212 width=88)
+ Conds:RS_108._col0=RS_109._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
<-Map 35 [SIMPLE_EDGE]
SHUFFLE [RS_108]
- PartitionCols:_col1
- Select Operator [SEL_98] (rows=1 width=0)
+ PartitionCols:_col0
+ Select Operator [SEL_98] (rows=575995635 width=88)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_233] (rows=1 width=0)
+ Filter Operator [FIL_233] (rows=575995635 width=88)
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"]
+ TableScan [TS_96] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,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"]
+ Select Operator [SEL_101] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_234] (rows=36524 width=1119)
+ predicate:((d_year = 2001) and d_date_sk is not null)
+ TableScan [TS_99] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
<-Reducer 45 [CONTAINS]
Reduce Output Operator [RS_145]
PartitionCols:2001, _col1, _col2, _col3, _col4
- Group By Operator [GBY_144] (rows=922383 width=1436)
+ Group By Operator [GBY_144] (rows=1341632296 width=108)
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)
+ Select Operator [SEL_142] (rows=1341632296 width=108)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_141] (rows=307461 width=1436)
+ Select Operator [SEL_141] (rows=191667562 width=135)
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"]
+ Merge Join Operator [MERGEJOIN_258] (rows=191667562 width=135)
+ Conds:RS_138._col2, _col1=RS_139._col1, _col0(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"]
<-Map 48 [SIMPLE_EDGE]
SHUFFLE [RS_139]
PartitionCols:_col1, _col0
- Select Operator [SEL_131] (rows=1 width=0)
+ Select Operator [SEL_131] (rows=14398467 width=92)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_240] (rows=1 width=0)
+ Filter Operator [FIL_240] (rows=14398467 width=92)
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"]
+ TableScan [TS_129] (rows=14398467 width=92)
+ default@web_returns,web_returns,Tbl:COMPLETE,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"]
+ Merge Join Operator [MERGEJOIN_257] (rows=174243235 width=135)
+ Conds:RS_135._col1=RS_136._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"]
<-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"]
+ Select Operator [SEL_128] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_239] (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_126] (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 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"]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_256] (rows=158402938 width=135)
+ Conds:RS_132._col0=RS_133._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
<-Map 42 [SIMPLE_EDGE]
SHUFFLE [RS_132]
- PartitionCols:_col1
- Select Operator [SEL_122] (rows=1 width=0)
+ PartitionCols:_col0
+ Select Operator [SEL_122] (rows=144002668 width=135)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_237] (rows=1 width=0)
+ Filter Operator [FIL_237] (rows=144002668 width=135)
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"]
+ TableScan [TS_120] (rows=144002668 width=135)
+ default@web_sales,web_sales,Tbl:COMPLETE,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_125] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_238] (rows=36524 width=1119)
+ predicate:((d_year = 2001) and d_date_sk is not null)
+ TableScan [TS_123] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
<-Reducer 6 [SIMPLE_EDGE]
SHUFFLE [RS_148]
PartitionCols:_col1, _col2, _col3, _col4
- Select Operator [SEL_73] (rows=461191 width=1436)
+ Select Operator [SEL_73] (rows=670816148 width=108)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Group By Operator [GBY_72] (rows=461191 width=1436)
+ Group By Operator [GBY_72] (rows=670816148 width=108)
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)
+ Group By Operator [GBY_70] (rows=1341632296 width=108)
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)
+ Select Operator [SEL_68] (rows=1341632296 width=108)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_43] (rows=307461 width=1436)
+ Select Operator [SEL_43] (rows=766650239 width=88)
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"]
+ Merge Join Operator [MERGEJOIN_246] (rows=766650239 width=88)
+ Conds:RS_40._col2, _col1=RS_41._col1, _col0(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"]
<-Map 18 [SIMPLE_EDGE]
SHUFFLE [RS_41]
PartitionCols:_col1, _col0
- Select Operator [SEL_33] (rows=1 width=0)
+ Select Operator [SEL_33] (rows=57591150 width=77)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_224] (rows=1 width=0)
+ Filter Operator [FIL_224] (rows=57591150 width=77)
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"]
+ TableScan [TS_31] (rows=57591150 width=77)
+ default@store_returns,store_returns,Tbl:COMPLETE,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"]
+ Merge Join Operator [MERGEJOIN_245] (rows=696954748 width=88)
+ Conds:RS_37._col1=RS_38._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"]
<-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"]
+ Select Operator [SEL_30] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_223] (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_28] (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 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"]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_244] (rows=633595212 width=88)
+ Conds:RS_34._col0=RS_35._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
<-Map 12 [SIMPLE_EDGE]
SHUFFLE [RS_34]
- PartitionCols:_col1
- Select Operator [SEL_24] (rows=1 width=0)
+ PartitionCols:_col0
+ Select Operator [SEL_24] (rows=575995635 width=88)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_221] (rows=1 width=0)
+ Filter Operator [FIL_221] (rows=575995635 width=88)
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"]
+ TableScan [TS_22] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,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"]
+ Select Operator [SEL_27] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_222] (rows=36524 width=1119)
+ predicate:((d_year = 2002) and d_date_sk is not null)
+ TableScan [TS_25] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
<-Reducer 22 [CONTAINS]
Reduce Output Operator [RS_71]
PartitionCols:2002, _col1, _col2, _col3, _col4
- Group By Operator [GBY_70] (rows=922383 width=1436)
+ Group By Operator [GBY_70] (rows=1341632296 width=108)
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)
+ Select Operator [SEL_68] (rows=1341632296 width=108)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_67] (rows=307461 width=1436)
+ Select Operator [SEL_67] (rows=191667562 width=135)
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"]
+ Merge Join Operator [MERGEJOIN_249] (rows=191667562 width=135)
+ Conds:RS_64._col2, _col1=RS_65._col1, _col0(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"]
<-Map 25 [SIMPLE_EDGE]
SHUFFLE [RS_65]
PartitionCols:_col1, _col0
- Select Operator [SEL_57] (rows=1 width=0)
+ Select Operator [SEL_57] (rows=14398467 width=92)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_228] (rows=1 width=0)
+ Filter Operator [FIL_228] (rows=14398467 width=92)
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"]
+ TableScan [TS_55] (rows=14398467 width=92)
+ default@web_returns,web_returns,Tbl:COMPLETE,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"]
+ Merge Join Operator [MERGEJOIN_248] (rows=174243235 width=135)
+ Conds:RS_61._col1=RS_62._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"]
<-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"]
+ Select Operator [SEL_54] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_227] (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_52] (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 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"]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_247] (rows=158402938 width=135)
+ Conds:RS_58._col0=RS_59._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
<-Map 19 [SIMPLE_EDGE]
SHUFFLE [RS_58]
- PartitionCols:_col1
- Select Operator [SEL_48] (rows=1 width=0)
+ PartitionCols:_col0
+ Select Operator [SEL_48] (rows=144002668 width=135)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_225] (rows=1 width=0)
+ Filter Operator [FIL_225] (rows=144002668 width=135)
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"]
+ TableScan [TS_46] (rows=144002668 width=135)
+ default@web_sales,web_sales,Tbl:COMPLETE,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"]
+ Select Operator [SEL_51] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_226] (rows=36524 width=1119)
+ predicate:((d_year = 2002) and d_date_sk is not null)
+ TableScan [TS_49] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
<-Reducer 4 [CONTAINS]
Reduce Output Operator [RS_71]
PartitionCols:2002, _col1, _col2, _col3, _col4
- Group By Operator [GBY_70] (rows=922383 width=1436)
+ Group By Operator [GBY_70] (rows=1341632296 width=108)
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)
+ Select Operator [SEL_68] (rows=1341632296 width=108)
Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
- Select Operator [SEL_21] (rows=307461 width=1436)
+ Select Operator [SEL_21] (rows=383314495 width=135)
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"]
+ Merge Join Operator [MERGEJOIN_243] (rows=383314495 width=135)
+ Conds:RS_18._col2, _col1=RS_19._col1, _col0(Left Outer),Output:["_col3","_col4","_col8","_col9","_col10","_col12","_col15","_col16"]
<-Map 11 [SIMPLE_EDGE]
SHUFFLE [RS_19]
PartitionCols:_col1, _col0
- Select Operator [SEL_11] (rows=1 width=0)
+ Select Operator [SEL_11] (rows=28798881 width=106)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_220] (rows=1 width=0)
+ Filter Operator [FIL_220] (rows=28798881 width=106)
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"]
+ TableScan [TS_9] (rows=28798881 width=106)
+ default@catalog_returns,catalog_returns,Tbl:COMPLETE,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"]
+ Merge Join Operator [MERGEJOIN_242] (rows=348467716 width=135)
+ Conds:RS_15._col1=RS_16._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col8","_col9","_col10","_col12"]
<-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"]
+ Select Operator [SEL_8] (rows=231000 width=1436)
+ Output:["_col0","_col1","_col2","_col3","_col5"]
+ Filter Operator [FIL_219] (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_6] (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 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"]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_241] (rows=316788826 width=135)
+ Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
<-Map 1 [SIMPLE_EDGE]
SHUFFLE [RS_12]
- PartitionCols:_col1
- Select Operator [SEL_2] (rows=1 width=0)
+ PartitionCols:_col0
+ Select Operator [SEL_2] (rows=287989836 width=135)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_217] (rows=1 width=0)
+ Filter Operator [FIL_217] (rows=287989836 width=135)
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"]
+ TableScan [TS_0] (rows=287989836 width=135)
+ default@catalog_sales,catalog_sales,Tbl:COMPLETE,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_5] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_218] (rows=36524 width=1119)
+ predicate:((d_year = 2002) 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"]
http://git-wip-us.apache.org/repos/asf/hive/blob/db8a6db9/ql/src/test/results/clientpositive/perf/query76.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query76.q.out b/ql/src/test/results/clientpositive/perf/query76.q.out
index 170c18e..c7dbb37 100644
--- a/ql/src/test/results/clientpositive/perf/query76.q.out
+++ b/ql/src/test/results/clientpositive/perf/query76.q.out
@@ -20,23 +20,23 @@ Stage-0
Stage-1
Reducer 6
File Output Operator [FS_59]
- Limit [LIM_58] (rows=100 width=1436)
+ Limit [LIM_58] (rows=100 width=108)
Number of rows:100
- Select Operator [SEL_57] (rows=838530 width=1436)
+ Select Operator [SEL_57] (rows=304916424 width=108)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
<-Reducer 5 [SIMPLE_EDGE]
SHUFFLE [RS_56]
- Group By Operator [GBY_54] (rows=838530 width=1436)
+ Group By Operator [GBY_54] (rows=304916424 width=108)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4
<-Union 4 [SIMPLE_EDGE]
<-Reducer 11 [CONTAINS]
Reduce Output Operator [RS_53]
PartitionCols:_col0, _col1, _col2, _col3, _col4
- Group By Operator [GBY_52] (rows=1677060 width=1436)
+ Group By Operator [GBY_52] (rows=609832848 width=108)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["count()","sum(_col5)"],keys:_col0, _col1, _col2, _col3, _col4
- Select Operator [SEL_31] (rows=559020 width=1436)
+ Select Operator [SEL_31] (rows=87121617 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Merge Join Operator [MERGEJOIN_87] (rows=559020 width=1436)
+ Merge Join Operator [MERGEJOIN_87] (rows=87121617 width=135)
Conds:RS_28._col0=RS_29._col0(Inner),Output:["_col3","_col5","_col7","_col8"]
<-Map 13 [SIMPLE_EDGE]
SHUFFLE [RS_29]
@@ -50,7 +50,7 @@ Stage-0
<-Reducer 10 [SIMPLE_EDGE]
SHUFFLE [RS_28]
PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_86] (rows=508200 width=1436)
+ Merge Join Operator [MERGEJOIN_86] (rows=79201469 width=135)
Conds:RS_25._col1=RS_26._col0(Inner),Output:["_col0","_col3","_col5"]
<-Map 12 [SIMPLE_EDGE]
SHUFFLE [RS_26]
@@ -64,20 +64,20 @@ Stage-0
<-Map 9 [SIMPLE_EDGE]
SHUFFLE [RS_25]
PartitionCols:_col1
- Select Operator [SEL_18] (rows=1 width=0)
+ Select Operator [SEL_18] (rows=72001334 width=135)
Output:["_col0","_col1","_col3"]
- Filter Operator [FIL_78] (rows=1 width=0)
+ Filter Operator [FIL_78] (rows=72001334 width=135)
predicate:(ws_web_page_sk is null and ws_item_sk is not null and ws_sold_date_sk is not null)
- TableScan [TS_16] (rows=1 width=0)
- default@web_sales,web_sales,Tbl:PARTIAL,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_web_page_sk","ws_ext_sales_price"]
+ 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_web_page_sk","ws_ext_sales_price"]
<-Reducer 16 [CONTAINS]
Reduce Output Operator [RS_53]
PartitionCols:_col0, _col1, _col2, _col3, _col4
- Group By Operator [GBY_52] (rows=1677060 width=1436)
+ Group By Operator [GBY_52] (rows=609832848 width=108)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["count()","sum(_col5)"],keys:_col0, _col1, _col2, _col3, _col4
- Select Operator [SEL_49] (rows=559020 width=1436)
+ Select Operator [SEL_49] (rows=174233858 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Merge Join Operator [MERGEJOIN_89] (rows=559020 width=1436)
+ Merge Join Operator [MERGEJOIN_89] (rows=174233858 width=135)
Conds:RS_46._col0=RS_47._col0(Inner),Output:["_col3","_col5","_col7","_col8"]
<-Map 18 [SIMPLE_EDGE]
SHUFFLE [RS_47]
@@ -91,17 +91,17 @@ Stage-0
<-Reducer 15 [SIMPLE_EDGE]
SHUFFLE [RS_46]
PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_88] (rows=508200 width=1436)
+ Merge Join Operator [MERGEJOIN_88] (rows=158394413 width=135)
Conds:RS_43._col2=RS_44._col0(Inner),Output:["_col0","_col3","_col5"]
<-Map 14 [SIMPLE_EDGE]
SHUFFLE [RS_43]
PartitionCols:_col2
- Select Operator [SEL_36] (rows=1 width=0)
+ Select Operator [SEL_36] (rows=143994918 width=135)
Output:["_col0","_col2","_col3"]
- Filter Operator [FIL_81] (rows=1 width=0)
+ Filter Operator [FIL_81] (rows=143994918 width=135)
predicate:(cs_warehouse_sk is null and cs_item_sk is not null and cs_sold_date_sk is not null)
- TableScan [TS_34] (rows=1 width=0)
- default@catalog_sales,catalog_sales,Tbl:PARTIAL,Col:NONE,Output:["cs_sold_date_sk","cs_warehouse_sk","cs_item_sk","cs_ext_sales_price"]
+ TableScan [TS_34] (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_ext_sales_price"]
<-Map 17 [SIMPLE_EDGE]
SHUFFLE [RS_44]
PartitionCols:_col0
@@ -114,12 +114,12 @@ Stage-0
<-Reducer 3 [CONTAINS]
Reduce Output Operator [RS_53]
PartitionCols:_col0, _col1, _col2, _col3, _col4
- Group By Operator [GBY_52] (rows=1677060 width=1436)
+ Group By Operator [GBY_52] (rows=609832848 width=108)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["count()","sum(_col5)"],keys:_col0, _col1, _col2, _col3, _col4
- Select Operator [SEL_15] (rows=559020 width=1436)
+ Select Operator [SEL_15] (rows=348477373 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Merge Join Operator [MERGEJOIN_85] (rows=559020 width=1436)
- Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col3","_col5","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_85] (rows=348477373 width=88)
+ Conds:RS_12._col2=RS_13._col0(Inner),Output:["_col1","_col5","_col7","_col8"]
<-Map 8 [SIMPLE_EDGE]
SHUFFLE [RS_13]
PartitionCols:_col0
@@ -131,25 +131,25 @@ Stage-0
default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_12]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_84] (rows=508200 width=1436)
- Conds:RS_9._col1=RS_10._col0(Inner),Output:["_col0","_col3","_col5"]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_84] (rows=316797605 width=88)
+ Conds:RS_9._col0=RS_10._col1(Inner),Output:["_col1","_col2","_col5"]
<-Map 1 [SIMPLE_EDGE]
SHUFFLE [RS_9]
- PartitionCols:_col1
- Select Operator [SEL_2] (rows=1 width=0)
- Output:["_col0","_col1","_col3"]
- Filter Operator [FIL_75] (rows=1 width=0)
- predicate:(ss_addr_sk is null and ss_item_sk is not null and ss_sold_date_sk is not null)
- TableScan [TS_0] (rows=1 width=0)
- default@store_sales,store_sales,Tbl:PARTIAL,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_addr_sk","ss_ext_sales_price"]
- <-Map 7 [SIMPLE_EDGE]
- SHUFFLE [RS_10]
PartitionCols:_col0
- Select Operator [SEL_5] (rows=462000 width=1436)
+ Select Operator [SEL_2] (rows=462000 width=1436)
Output:["_col0","_col1"]
- Filter Operator [FIL_76] (rows=462000 width=1436)
+ Filter Operator [FIL_75] (rows=462000 width=1436)
predicate:i_item_sk is not null
- TableScan [TS_3] (rows=462000 width=1436)
+ TableScan [TS_0] (rows=462000 width=1436)
default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_category"]
+ <-Map 7 [SIMPLE_EDGE]
+ SHUFFLE [RS_10]
+ PartitionCols:_col1
+ Select Operator [SEL_5] (rows=287997817 width=88)
+ Output:["_col0","_col1","_col3"]
+ Filter Operator [FIL_76] (rows=287997817 width=88)
+ predicate:(ss_addr_sk is null and ss_item_sk is not null and ss_sold_date_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_item_sk","ss_addr_sk","ss_ext_sales_price"]
http://git-wip-us.apache.org/repos/asf/hive/blob/db8a6db9/ql/src/test/results/clientpositive/perf/query79.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query79.q.out b/ql/src/test/results/clientpositive/perf/query79.q.out
index a17eb84..f5a68fc 100644
--- a/ql/src/test/results/clientpositive/perf/query79.q.out
+++ b/ql/src/test/results/clientpositive/perf/query79.q.out
@@ -5,98 +5,98 @@ 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 <- Reducer 4 (SIMPLE_EDGE)
-Reducer 6 <- Map 11 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
-Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
+Reducer 5 <- Map 4 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
+Reducer 6 <- Map 10 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
+Reducer 7 <- Map 11 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Reducer 7 (SIMPLE_EDGE)
Stage-0
Fetch Operator
limit:100
Stage-1
- Reducer 7
+ Reducer 3
File Output Operator [FS_37]
- Limit [LIM_36] (rows=100 width=860)
+ Limit [LIM_36] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_35] (rows=88000001 width=860)
+ Select Operator [SEL_35] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- <-Reducer 6 [SIMPLE_EDGE]
+ <-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_34]
- Select Operator [SEL_33] (rows=88000001 width=860)
+ Select Operator [SEL_33] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Merge Join Operator [MERGEJOIN_60] (rows=88000001 width=860)
- Conds:RS_30._col1=RS_31._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col6","_col7"]
- <-Map 11 [SIMPLE_EDGE]
- SHUFFLE [RS_31]
+ Merge Join Operator [MERGEJOIN_60] (rows=421657640 width=88)
+ Conds:RS_30._col0=RS_31._col1(Inner),Output:["_col1","_col2","_col3","_col5","_col6","_col7"]
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_30]
PartitionCols:_col0
- Select Operator [SEL_29] (rows=80000000 width=860)
+ Select Operator [SEL_2] (rows=80000000 width=860)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_56] (rows=80000000 width=860)
+ Filter Operator [FIL_52] (rows=80000000 width=860)
predicate:c_customer_sk is not null
- TableScan [TS_27] (rows=80000000 width=860)
+ TableScan [TS_0] (rows=80000000 width=860)
default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_first_name","c_last_name"]
- <-Reducer 5 [SIMPLE_EDGE]
- SHUFFLE [RS_30]
+ <-Reducer 8 [SIMPLE_EDGE]
+ SHUFFLE [RS_31]
PartitionCols:_col1
- Select Operator [SEL_25] (rows=12152 width=1119)
+ Select Operator [SEL_28] (rows=383325119 width=88)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Group By Operator [GBY_24] (rows=12152 width=1119)
+ Group By Operator [GBY_27] (rows=383325119 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3
- <-Reducer 4 [SIMPLE_EDGE]
- SHUFFLE [RS_23]
+ <-Reducer 7 [SIMPLE_EDGE]
+ SHUFFLE [RS_26]
PartitionCols:_col0, _col1, _col2, _col3
- Group By Operator [GBY_22] (rows=24305 width=1119)
+ Group By Operator [GBY_25] (rows=766650239 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col6)","sum(_col7)"],keys:_col1, _col3, _col5, _col13
- Select Operator [SEL_21] (rows=24305 width=1119)
+ Select Operator [SEL_24] (rows=766650239 width=88)
Output:["_col1","_col3","_col5","_col13","_col6","_col7"]
- Merge Join Operator [MERGEJOIN_59] (rows=24305 width=1119)
- Conds:RS_18._col2=RS_19._col0(Inner),Output:["_col1","_col3","_col5","_col6","_col7","_col13"]
- <-Map 10 [SIMPLE_EDGE]
- SHUFFLE [RS_19]
+ Merge Join Operator [MERGEJOIN_59] (rows=766650239 width=88)
+ Conds:RS_21._col2=RS_22._col0(Inner),Output:["_col1","_col3","_col5","_col6","_col7","_col13"]
+ <-Map 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_22]
PartitionCols:_col0
- Select Operator [SEL_11] (rows=6000 width=107)
+ Select Operator [SEL_14] (rows=6000 width=107)
Output:["_col0"]
- Filter Operator [FIL_55] (rows=6000 width=107)
+ Filter Operator [FIL_56] (rows=6000 width=107)
predicate:(((hd_dep_count = 8) or (hd_vehicle_count > 0)) and hd_demo_sk is not null)
- TableScan [TS_9] (rows=7200 width=107)
+ TableScan [TS_12] (rows=7200 width=107)
default@household_demographics,household_demographics,Tbl:COMPLETE,Col:NONE,Output:["hd_demo_sk","hd_dep_count","hd_vehicle_count"]
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_18]
+ <-Reducer 6 [SIMPLE_EDGE]
+ SHUFFLE [RS_21]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_58] (rows=22096 width=1119)
- Conds:RS_15._col4=RS_16._col0(Inner),Output:["_col1","_col2","_col3","_col5","_col6","_col7","_col13"]
- <-Map 9 [SIMPLE_EDGE]
- SHUFFLE [RS_16]
+ Merge Join Operator [MERGEJOIN_58] (rows=696954748 width=88)
+ Conds:RS_18._col4=RS_19._col0(Inner),Output:["_col1","_col2","_col3","_col5","_col6","_col7","_col13"]
+ <-Map 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_19]
PartitionCols:_col0
- Select Operator [SEL_8] (rows=852 width=1910)
+ Select Operator [SEL_11] (rows=852 width=1910)
Output:["_col0","_col2"]
- Filter Operator [FIL_54] (rows=852 width=1910)
+ Filter Operator [FIL_55] (rows=852 width=1910)
predicate:(s_number_employees BETWEEN 200 AND 295 and s_store_sk is not null)
- TableScan [TS_6] (rows=1704 width=1910)
+ TableScan [TS_9] (rows=1704 width=1910)
default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_number_employees","s_city"]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_15]
+ <-Reducer 5 [SIMPLE_EDGE]
+ SHUFFLE [RS_18]
PartitionCols:_col4
- Merge Join Operator [MERGEJOIN_57] (rows=20088 width=1119)
- Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
- <-Map 1 [SIMPLE_EDGE]
- SHUFFLE [RS_12]
+ Merge Join Operator [MERGEJOIN_57] (rows=633595212 width=88)
+ Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
+ <-Map 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_15]
PartitionCols:_col0
- Select Operator [SEL_2] (rows=1 width=0)
+ Select Operator [SEL_5] (rows=575995635 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
- Filter Operator [FIL_52] (rows=1 width=0)
+ Filter Operator [FIL_53] (rows=575995635 width=88)
predicate:(ss_sold_date_sk is not null and ss_store_sk is not null and ss_hdemo_sk is not null and ss_customer_sk is not null)
- TableScan [TS_0] (rows=1 width=0)
- default@store_sales,store_sales,Tbl:PARTIAL,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk","ss_hdemo_sk","ss_addr_sk","ss_store_sk","ss_ticket_number","ss_coupon_amt","ss_net_profit"]
- <-Map 8 [SIMPLE_EDGE]
- SHUFFLE [RS_13]
+ TableScan [TS_3] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk","ss_hdemo_sk","ss_addr_sk","ss_store_sk","ss_ticket_number","ss_coupon_amt","ss_net_profit"]
+ <-Map 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_16]
PartitionCols:_col0
- Select Operator [SEL_5] (rows=18262 width=1119)
+ Select Operator [SEL_8] (rows=18262 width=1119)
Output:["_col0"]
- Filter Operator [FIL_53] (rows=18262 width=1119)
+ Filter Operator [FIL_54] (rows=18262 width=1119)
predicate:((d_year) IN (1998, 1999, 2000) and (d_dow = 1) and d_date_sk is not null)
- TableScan [TS_3] (rows=73049 width=1119)
+ TableScan [TS_6] (rows=73049 width=1119)
default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_dow"]