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Posted to commits@hive.apache.org by st...@apache.org on 2017/09/30 05:43:34 UTC
[30/41] hive git commit: HIVE-17543: Enable PerfCliDriver for HoS
(Sahil Takiar, reviewed by Peter Vary) (addendum)
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query58.q.out
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diff --git a/ql/src/test/results/clientpositive/perf/query58.q.out b/ql/src/test/results/clientpositive/perf/query58.q.out
deleted file mode 100644
index d5ef23b..0000000
--- a/ql/src/test/results/clientpositive/perf/query58.q.out
+++ /dev/null
@@ -1,440 +0,0 @@
-Warning: Shuffle Join MERGEJOIN[265][tables = [$hdt$_4, $hdt$_5]] in Stage 'Reducer 20' is a cross product
-Warning: Shuffle Join MERGEJOIN[269][tables = [$hdt$_5, $hdt$_6]] in Stage 'Reducer 24' is a cross product
-Warning: Shuffle Join MERGEJOIN[273][tables = [$hdt$_6, $hdt$_7]] in Stage 'Reducer 28' is a cross product
-PREHOOK: query: explain
-with ss_items as
- (select i_item_id item_id
- ,sum(ss_ext_sales_price) ss_item_rev
- from store_sales
- ,item
- ,date_dim
- where ss_item_sk = i_item_sk
- and d_date in (select d_date
- from date_dim
- where d_week_seq = (select d_week_seq
- from date_dim
- where d_date = '1998-02-19'))
- and ss_sold_date_sk = d_date_sk
- group by i_item_id),
- cs_items as
- (select i_item_id item_id
- ,sum(cs_ext_sales_price) cs_item_rev
- from catalog_sales
- ,item
- ,date_dim
- where cs_item_sk = i_item_sk
- and d_date in (select d_date
- from date_dim
- where d_week_seq = (select d_week_seq
- from date_dim
- where d_date = '1998-02-19'))
- and cs_sold_date_sk = d_date_sk
- group by i_item_id),
- ws_items as
- (select i_item_id item_id
- ,sum(ws_ext_sales_price) ws_item_rev
- from web_sales
- ,item
- ,date_dim
- where ws_item_sk = i_item_sk
- and d_date in (select d_date
- from date_dim
- where d_week_seq =(select d_week_seq
- from date_dim
- where d_date = '1998-02-19'))
- and ws_sold_date_sk = d_date_sk
- group by i_item_id)
- select ss_items.item_id
- ,ss_item_rev
- ,ss_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 ss_dev
- ,cs_item_rev
- ,cs_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 cs_dev
- ,ws_item_rev
- ,ws_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 ws_dev
- ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average
- from ss_items,cs_items,ws_items
- where ss_items.item_id=cs_items.item_id
- and ss_items.item_id=ws_items.item_id
- and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
- and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
- and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
- and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
- and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
- and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
- order by item_id
- ,ss_item_rev
- limit 100
-PREHOOK: type: QUERY
-POSTHOOK: query: explain
-with ss_items as
- (select i_item_id item_id
- ,sum(ss_ext_sales_price) ss_item_rev
- from store_sales
- ,item
- ,date_dim
- where ss_item_sk = i_item_sk
- and d_date in (select d_date
- from date_dim
- where d_week_seq = (select d_week_seq
- from date_dim
- where d_date = '1998-02-19'))
- and ss_sold_date_sk = d_date_sk
- group by i_item_id),
- cs_items as
- (select i_item_id item_id
- ,sum(cs_ext_sales_price) cs_item_rev
- from catalog_sales
- ,item
- ,date_dim
- where cs_item_sk = i_item_sk
- and d_date in (select d_date
- from date_dim
- where d_week_seq = (select d_week_seq
- from date_dim
- where d_date = '1998-02-19'))
- and cs_sold_date_sk = d_date_sk
- group by i_item_id),
- ws_items as
- (select i_item_id item_id
- ,sum(ws_ext_sales_price) ws_item_rev
- from web_sales
- ,item
- ,date_dim
- where ws_item_sk = i_item_sk
- and d_date in (select d_date
- from date_dim
- where d_week_seq =(select d_week_seq
- from date_dim
- where d_date = '1998-02-19'))
- and ws_sold_date_sk = d_date_sk
- group by i_item_id)
- select ss_items.item_id
- ,ss_item_rev
- ,ss_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 ss_dev
- ,cs_item_rev
- ,cs_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 cs_dev
- ,ws_item_rev
- ,ws_item_rev/(ss_item_rev+cs_item_rev+ws_item_rev)/3 * 100 ws_dev
- ,(ss_item_rev+cs_item_rev+ws_item_rev)/3 average
- from ss_items,cs_items,ws_items
- where ss_items.item_id=cs_items.item_id
- and ss_items.item_id=ws_items.item_id
- and ss_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
- and ss_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
- and cs_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
- and cs_item_rev between 0.9 * ws_item_rev and 1.1 * ws_item_rev
- and ws_item_rev between 0.9 * ss_item_rev and 1.1 * ss_item_rev
- and ws_item_rev between 0.9 * cs_item_rev and 1.1 * cs_item_rev
- order by item_id
- ,ss_item_rev
- limit 100
-POSTHOOK: type: QUERY
-Plan optimized by CBO.
-
-Vertex dependency in root stage
-Reducer 10 <- Reducer 9 (SIMPLE_EDGE)
-Reducer 11 <- Map 33 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
-Reducer 12 <- Reducer 11 (SIMPLE_EDGE), Reducer 17 (SIMPLE_EDGE)
-Reducer 13 <- Reducer 12 (SIMPLE_EDGE)
-Reducer 15 <- Map 14 (SIMPLE_EDGE), Reducer 22 (ONE_TO_ONE_EDGE)
-Reducer 16 <- Map 14 (SIMPLE_EDGE), Reducer 26 (ONE_TO_ONE_EDGE)
-Reducer 17 <- Map 14 (SIMPLE_EDGE), Reducer 30 (ONE_TO_ONE_EDGE)
-Reducer 19 <- Map 18 (CUSTOM_SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
-Reducer 20 <- Map 31 (CUSTOM_SIMPLE_EDGE), Reducer 19 (CUSTOM_SIMPLE_EDGE)
-Reducer 21 <- Map 31 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE)
-Reducer 22 <- Reducer 21 (SIMPLE_EDGE)
-Reducer 23 <- Map 18 (CUSTOM_SIMPLE_EDGE)
-Reducer 24 <- Map 31 (CUSTOM_SIMPLE_EDGE), Reducer 23 (CUSTOM_SIMPLE_EDGE)
-Reducer 25 <- Map 31 (SIMPLE_EDGE), Reducer 24 (SIMPLE_EDGE)
-Reducer 26 <- Reducer 25 (SIMPLE_EDGE)
-Reducer 27 <- Map 18 (CUSTOM_SIMPLE_EDGE)
-Reducer 28 <- Map 31 (CUSTOM_SIMPLE_EDGE), Reducer 27 (CUSTOM_SIMPLE_EDGE)
-Reducer 29 <- Map 31 (SIMPLE_EDGE), Reducer 28 (SIMPLE_EDGE)
-Reducer 3 <- Reducer 15 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 30 <- Reducer 29 (SIMPLE_EDGE)
-Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Reducer 10 (ONE_TO_ONE_EDGE), Reducer 13 (ONE_TO_ONE_EDGE), Reducer 4 (ONE_TO_ONE_EDGE)
-Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
-Reducer 8 <- Map 32 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
-Reducer 9 <- Reducer 16 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE)
-
-Stage-0
- Fetch Operator
- limit:100
- Stage-1
- Reducer 6
- File Output Operator [FS_164]
- Limit [LIM_163] (rows=100 width=88)
- Number of rows:100
- Select Operator [SEL_162] (rows=1442 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
- <-Reducer 5 [SIMPLE_EDGE]
- SHUFFLE [RS_161]
- Select Operator [SEL_160] (rows=1442 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
- Filter Operator [FIL_154] (rows=1442 width=88)
- predicate:(_col1 BETWEEN (0.9 * _col3) AND (1.1 * _col3) and _col1 BETWEEN (0.9 * _col5) AND (1.1 * _col5) and _col3 BETWEEN (0.9 * _col1) AND (1.1 * _col1) and _col3 BETWEEN (0.9 * _col5) AND (1.1 * _col5) and _col5 BETWEEN (0.9 * _col1) AND (1.1 * _col1) and _col5 BETWEEN (0.9 * _col3) AND (1.1 * _col3))
- Merge Join Operator [MERGEJOIN_279] (rows=766650239 width=88)
- Conds:RS_150._col0=RS_151._col0(Inner),RS_150._col0=RS_152._col0(Inner),Output:["_col0","_col1","_col3","_col5"]
- <-Reducer 10 [ONE_TO_ONE_EDGE]
- FORWARD [RS_151]
- PartitionCols:_col0
- Group By Operator [GBY_98] (rows=348477374 width=88)
- Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
- <-Reducer 9 [SIMPLE_EDGE]
- SHUFFLE [RS_97]
- PartitionCols:_col0
- Group By Operator [GBY_96] (rows=696954748 width=88)
- Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4
- Merge Join Operator [MERGEJOIN_277] (rows=696954748 width=88)
- Conds:RS_92._col0=RS_93._col0(Inner),Output:["_col2","_col4"]
- <-Reducer 16 [SIMPLE_EDGE]
- SHUFFLE [RS_93]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_271] (rows=80353 width=1119)
- Conds:RS_85._col1=RS_86._col0(Inner),Output:["_col0"]
- <-Map 14 [SIMPLE_EDGE]
- SHUFFLE [RS_85]
- PartitionCols:_col1
- Select Operator [SEL_8] (rows=73049 width=1119)
- Output:["_col0","_col1"]
- Filter Operator [FIL_248] (rows=73049 width=1119)
- predicate:(d_date is not null and d_date_sk is not null)
- TableScan [TS_6] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date"]
- <-Reducer 26 [ONE_TO_ONE_EDGE]
- FORWARD [RS_86]
- PartitionCols:_col0
- Group By Operator [GBY_83] (rows=40176 width=1119)
- Output:["_col0"],keys:KEY._col0
- <-Reducer 25 [SIMPLE_EDGE]
- SHUFFLE [RS_82]
- PartitionCols:_col0
- Group By Operator [GBY_81] (rows=80353 width=1119)
- Output:["_col0"],keys:_col2
- Merge Join Operator [MERGEJOIN_270] (rows=80353 width=1119)
- Conds:RS_77._col1=RS_78._col1(Inner),Output:["_col2"]
- <-Map 31 [SIMPLE_EDGE]
- SHUFFLE [RS_78]
- PartitionCols:_col1
- Select Operator [SEL_73] (rows=73049 width=1119)
- Output:["_col0","_col1"]
- Filter Operator [FIL_257] (rows=73049 width=1119)
- predicate:(d_date is not null and d_week_seq is not null)
- TableScan [TS_21] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date","d_week_seq"]
- <-Reducer 24 [SIMPLE_EDGE]
- SHUFFLE [RS_77]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_269] (rows=36524 width=1128)
- Conds:(Inner),Output:["_col1"]
- <-Map 31 [CUSTOM_SIMPLE_EDGE]
- SHUFFLE [RS_75]
- Select Operator [SEL_70] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_256] (rows=36524 width=1119)
- predicate:((d_date = '1998-02-19') and d_week_seq is not null)
- Please refer to the previous TableScan [TS_21]
- <-Reducer 23 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_74]
- Select Operator [SEL_67] (rows=1 width=8)
- Filter Operator [FIL_66] (rows=1 width=8)
- predicate:(sq_count_check(_col0) <= 1)
- Group By Operator [GBY_64] (rows=1 width=8)
- Output:["_col0"],aggregations:["count(VALUE._col0)"]
- <-Map 18 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_63]
- Group By Operator [GBY_12] (rows=1 width=8)
- Output:["_col0"],aggregations:["count()"]
- Select Operator [SEL_11] (rows=36524 width=1119)
- Filter Operator [FIL_249] (rows=36524 width=1119)
- predicate:(d_date = '1998-02-19')
- TableScan [TS_9] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date"]
- <-Reducer 8 [SIMPLE_EDGE]
- SHUFFLE [RS_92]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_268] (rows=633595212 width=88)
- Conds:RS_89._col1=RS_90._col0(Inner),Output:["_col0","_col2","_col4"]
- <-Map 7 [SIMPLE_EDGE]
- SHUFFLE [RS_90]
- PartitionCols:_col0
- Select Operator [SEL_5] (rows=462000 width=1436)
- Output:["_col0","_col1"]
- Filter Operator [FIL_247] (rows=462000 width=1436)
- predicate:(i_item_id is not null and i_item_sk is not null)
- TableScan [TS_3] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"]
- <-Map 32 [SIMPLE_EDGE]
- SHUFFLE [RS_89]
- PartitionCols:_col1
- Select Operator [SEL_52] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_252] (rows=575995635 width=88)
- predicate:(ss_item_sk is not null and ss_sold_date_sk is not null)
- TableScan [TS_50] (rows=575995635 width=88)
- default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ext_sales_price"]
- <-Reducer 13 [ONE_TO_ONE_EDGE]
- FORWARD [RS_152]
- PartitionCols:_col0
- Group By Operator [GBY_148] (rows=87121617 width=135)
- Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
- <-Reducer 12 [SIMPLE_EDGE]
- SHUFFLE [RS_147]
- PartitionCols:_col0
- Group By Operator [GBY_146] (rows=174243235 width=135)
- Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4
- Merge Join Operator [MERGEJOIN_278] (rows=174243235 width=135)
- Conds:RS_142._col0=RS_143._col0(Inner),Output:["_col2","_col4"]
- <-Reducer 11 [SIMPLE_EDGE]
- SHUFFLE [RS_142]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_272] (rows=158402938 width=135)
- Conds:RS_139._col1=RS_140._col0(Inner),Output:["_col0","_col2","_col4"]
- <-Map 7 [SIMPLE_EDGE]
- SHUFFLE [RS_140]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_5]
- <-Map 33 [SIMPLE_EDGE]
- SHUFFLE [RS_139]
- PartitionCols:_col1
- Select Operator [SEL_102] (rows=144002668 width=135)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_258] (rows=144002668 width=135)
- predicate:(ws_item_sk is not null and ws_sold_date_sk is not null)
- TableScan [TS_100] (rows=144002668 width=135)
- default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_ext_sales_price"]
- <-Reducer 17 [SIMPLE_EDGE]
- SHUFFLE [RS_143]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_275] (rows=80353 width=1119)
- Conds:RS_135._col1=RS_136._col0(Inner),Output:["_col0"]
- <-Map 14 [SIMPLE_EDGE]
- SHUFFLE [RS_135]
- PartitionCols:_col1
- Please refer to the previous Select Operator [SEL_8]
- <-Reducer 30 [ONE_TO_ONE_EDGE]
- FORWARD [RS_136]
- PartitionCols:_col0
- Group By Operator [GBY_133] (rows=40176 width=1119)
- Output:["_col0"],keys:KEY._col0
- <-Reducer 29 [SIMPLE_EDGE]
- SHUFFLE [RS_132]
- PartitionCols:_col0
- Group By Operator [GBY_131] (rows=80353 width=1119)
- Output:["_col0"],keys:_col2
- Merge Join Operator [MERGEJOIN_274] (rows=80353 width=1119)
- Conds:RS_127._col1=RS_128._col1(Inner),Output:["_col2"]
- <-Map 31 [SIMPLE_EDGE]
- SHUFFLE [RS_128]
- PartitionCols:_col1
- Select Operator [SEL_123] (rows=73049 width=1119)
- Output:["_col0","_col1"]
- Filter Operator [FIL_263] (rows=73049 width=1119)
- predicate:(d_date is not null and d_week_seq is not null)
- Please refer to the previous TableScan [TS_21]
- <-Reducer 28 [SIMPLE_EDGE]
- SHUFFLE [RS_127]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_273] (rows=36524 width=1128)
- Conds:(Inner),Output:["_col1"]
- <-Map 31 [CUSTOM_SIMPLE_EDGE]
- SHUFFLE [RS_125]
- Select Operator [SEL_120] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_262] (rows=36524 width=1119)
- predicate:((d_date = '1998-02-19') and d_week_seq is not null)
- Please refer to the previous TableScan [TS_21]
- <-Reducer 27 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_124]
- Select Operator [SEL_117] (rows=1 width=8)
- Filter Operator [FIL_116] (rows=1 width=8)
- predicate:(sq_count_check(_col0) <= 1)
- Group By Operator [GBY_114] (rows=1 width=8)
- Output:["_col0"],aggregations:["count(VALUE._col0)"]
- <-Map 18 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_113]
- Please refer to the previous Group By Operator [GBY_12]
- <-Reducer 4 [ONE_TO_ONE_EDGE]
- FORWARD [RS_150]
- PartitionCols:_col0
- Group By Operator [GBY_48] (rows=174233858 width=135)
- Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_47]
- PartitionCols:_col0
- Group By Operator [GBY_46] (rows=348467716 width=135)
- Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4
- Merge Join Operator [MERGEJOIN_276] (rows=348467716 width=135)
- Conds:RS_42._col0=RS_43._col0(Inner),Output:["_col2","_col4"]
- <-Reducer 15 [SIMPLE_EDGE]
- SHUFFLE [RS_43]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_267] (rows=80353 width=1119)
- Conds:RS_35._col1=RS_36._col0(Inner),Output:["_col0"]
- <-Map 14 [SIMPLE_EDGE]
- SHUFFLE [RS_35]
- PartitionCols:_col1
- Please refer to the previous Select Operator [SEL_8]
- <-Reducer 22 [ONE_TO_ONE_EDGE]
- FORWARD [RS_36]
- PartitionCols:_col0
- Group By Operator [GBY_33] (rows=40176 width=1119)
- Output:["_col0"],keys:KEY._col0
- <-Reducer 21 [SIMPLE_EDGE]
- SHUFFLE [RS_32]
- PartitionCols:_col0
- Group By Operator [GBY_31] (rows=80353 width=1119)
- Output:["_col0"],keys:_col2
- Merge Join Operator [MERGEJOIN_266] (rows=80353 width=1119)
- Conds:RS_27._col1=RS_28._col1(Inner),Output:["_col2"]
- <-Map 31 [SIMPLE_EDGE]
- SHUFFLE [RS_28]
- PartitionCols:_col1
- Select Operator [SEL_23] (rows=73049 width=1119)
- Output:["_col0","_col1"]
- Filter Operator [FIL_251] (rows=73049 width=1119)
- predicate:(d_date is not null and d_week_seq is not null)
- Please refer to the previous TableScan [TS_21]
- <-Reducer 20 [SIMPLE_EDGE]
- SHUFFLE [RS_27]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_265] (rows=36524 width=1128)
- Conds:(Inner),Output:["_col1"]
- <-Map 31 [CUSTOM_SIMPLE_EDGE]
- SHUFFLE [RS_25]
- Select Operator [SEL_20] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_250] (rows=36524 width=1119)
- predicate:((d_date = '1998-02-19') and d_week_seq is not null)
- Please refer to the previous TableScan [TS_21]
- <-Reducer 19 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_24]
- Select Operator [SEL_17] (rows=1 width=8)
- Filter Operator [FIL_16] (rows=1 width=8)
- predicate:(sq_count_check(_col0) <= 1)
- Group By Operator [GBY_14] (rows=1 width=8)
- Output:["_col0"],aggregations:["count(VALUE._col0)"]
- <-Map 18 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_13]
- Please refer to the previous Group By Operator [GBY_12]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_42]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_264] (rows=316788826 width=135)
- Conds:RS_39._col1=RS_40._col0(Inner),Output:["_col0","_col2","_col4"]
- <-Map 7 [SIMPLE_EDGE]
- SHUFFLE [RS_40]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_5]
- <-Map 1 [SIMPLE_EDGE]
- SHUFFLE [RS_39]
- PartitionCols:_col1
- Select Operator [SEL_2] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_246] (rows=287989836 width=135)
- predicate:(cs_item_sk is not null and cs_sold_date_sk is not null)
- TableScan [TS_0] (rows=287989836 width=135)
- default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_ext_sales_price"]
-
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query59.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query59.q.out b/ql/src/test/results/clientpositive/perf/query59.q.out
deleted file mode 100644
index 37c2cc0..0000000
--- a/ql/src/test/results/clientpositive/perf/query59.q.out
+++ /dev/null
@@ -1,230 +0,0 @@
-PREHOOK: query: explain
-with wss as
- (select d_week_seq,
- ss_store_sk,
- sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
- sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
- sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales,
- sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
- sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
- sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
- sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
- from store_sales,date_dim
- where d_date_sk = ss_sold_date_sk
- group by d_week_seq,ss_store_sk
- )
- select s_store_name1,s_store_id1,d_week_seq1
- ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
- ,tue_sales1/tue_sales1,wed_sales1/wed_sales2,thu_sales1/thu_sales2
- ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
- from
- (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
- ,s_store_id s_store_id1,sun_sales sun_sales1
- ,mon_sales mon_sales1,tue_sales tue_sales1
- ,wed_sales wed_sales1,thu_sales thu_sales1
- ,fri_sales fri_sales1,sat_sales sat_sales1
- from wss,store,date_dim d
- where d.d_week_seq = wss.d_week_seq and
- ss_store_sk = s_store_sk and
- d_month_seq between 1185 and 1185 + 11) y,
- (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2
- ,s_store_id s_store_id2,sun_sales sun_sales2
- ,mon_sales mon_sales2,tue_sales tue_sales2
- ,wed_sales wed_sales2,thu_sales thu_sales2
- ,fri_sales fri_sales2,sat_sales sat_sales2
- from wss,store,date_dim d
- where d.d_week_seq = wss.d_week_seq and
- ss_store_sk = s_store_sk and
- d_month_seq between 1185+ 12 and 1185 + 23) x
- where s_store_id1=s_store_id2
- and d_week_seq1=d_week_seq2-52
- order by s_store_name1,s_store_id1,d_week_seq1
-limit 100
-PREHOOK: type: QUERY
-POSTHOOK: query: explain
-with wss as
- (select d_week_seq,
- ss_store_sk,
- sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
- sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
- sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales,
- sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
- sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
- sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
- sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
- from store_sales,date_dim
- where d_date_sk = ss_sold_date_sk
- group by d_week_seq,ss_store_sk
- )
- select s_store_name1,s_store_id1,d_week_seq1
- ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
- ,tue_sales1/tue_sales1,wed_sales1/wed_sales2,thu_sales1/thu_sales2
- ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
- from
- (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
- ,s_store_id s_store_id1,sun_sales sun_sales1
- ,mon_sales mon_sales1,tue_sales tue_sales1
- ,wed_sales wed_sales1,thu_sales thu_sales1
- ,fri_sales fri_sales1,sat_sales sat_sales1
- from wss,store,date_dim d
- where d.d_week_seq = wss.d_week_seq and
- ss_store_sk = s_store_sk and
- d_month_seq between 1185 and 1185 + 11) y,
- (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2
- ,s_store_id s_store_id2,sun_sales sun_sales2
- ,mon_sales mon_sales2,tue_sales tue_sales2
- ,wed_sales wed_sales2,thu_sales thu_sales2
- ,fri_sales fri_sales2,sat_sales sat_sales2
- from wss,store,date_dim d
- where d.d_week_seq = wss.d_week_seq and
- ss_store_sk = s_store_sk and
- d_month_seq between 1185+ 12 and 1185 + 23) x
- where s_store_id1=s_store_id2
- and d_week_seq1=d_week_seq2-52
- order by s_store_name1,s_store_id1,d_week_seq1
-limit 100
-POSTHOOK: type: QUERY
-Plan optimized by CBO.
-
-Vertex dependency in root stage
-Reducer 10 <- Map 13 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
-Reducer 11 <- Map 15 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE)
-Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Map 13 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Map 14 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
-Reducer 6 <- Reducer 11 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
-Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
-Reducer 8 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE)
-Reducer 9 <- Reducer 8 (SIMPLE_EDGE)
-
-Stage-0
- Fetch Operator
- limit:100
- Stage-1
- Reducer 7
- File Output Operator [FS_63]
- Limit [LIM_62] (rows=100 width=88)
- Number of rows:100
- Select Operator [SEL_61] (rows=421657640 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
- <-Reducer 6 [SIMPLE_EDGE]
- SHUFFLE [RS_60]
- Select Operator [SEL_59] (rows=421657640 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
- Merge Join Operator [MERGEJOIN_104] (rows=421657640 width=88)
- Conds:RS_56._col2, _col1=RS_57._col1, (_col0 - 52)(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col12","_col13","_col14","_col15","_col16","_col17"]
- <-Reducer 11 [SIMPLE_EDGE]
- SHUFFLE [RS_57]
- PartitionCols:_col1, (_col0 - 52)
- Select Operator [SEL_55] (rows=383325119 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
- Merge Join Operator [MERGEJOIN_103] (rows=383325119 width=88)
- Conds:RS_52._col1=RS_53._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col11"]
- <-Map 15 [SIMPLE_EDGE]
- SHUFFLE [RS_53]
- PartitionCols:_col0
- Select Operator [SEL_48] (rows=1704 width=1910)
- Output:["_col0","_col1"]
- Filter Operator [FIL_97] (rows=1704 width=1910)
- predicate:(s_store_id is not null and s_store_sk is not null)
- TableScan [TS_46] (rows=1704 width=1910)
- default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id"]
- <-Reducer 10 [SIMPLE_EDGE]
- SHUFFLE [RS_52]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_102] (rows=348477374 width=88)
- Conds:RS_49._col0=RS_50._col1(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
- <-Map 13 [SIMPLE_EDGE]
- SHUFFLE [RS_50]
- PartitionCols:_col1
- Select Operator [SEL_45] (rows=8116 width=1119)
- Output:["_col1"]
- Filter Operator [FIL_96] (rows=8116 width=1119)
- predicate:(d_month_seq BETWEEN 1197 AND 1208 and d_week_seq is not null)
- TableScan [TS_15] (rows=73049 width=1119)
- default@date_dim,d,Tbl:COMPLETE,Col:NONE,Output:["d_month_seq","d_week_seq"]
- <-Reducer 9 [SIMPLE_EDGE]
- SHUFFLE [RS_49]
- PartitionCols:_col0
- Group By Operator [GBY_41] (rows=316797606 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)"],keys:KEY._col0, KEY._col1
- <-Reducer 8 [SIMPLE_EDGE]
- SHUFFLE [RS_40]
- PartitionCols:_col0, _col1
- Group By Operator [GBY_39] (rows=633595212 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(_col2)","sum(_col3)","sum(_col5)","sum(_col6)","sum(_col7)","sum(_col8)"],keys:_col0, _col1
- Select Operator [SEL_37] (rows=633595212 width=88)
- Output:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8"]
- Merge Join Operator [MERGEJOIN_101] (rows=633595212 width=88)
- Conds:RS_34._col0=RS_35._col0(Inner),Output:["_col1","_col2","_col4","_col5"]
- <-Map 1 [SIMPLE_EDGE]
- SHUFFLE [RS_34]
- PartitionCols:_col0
- Select Operator [SEL_2] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_90] (rows=575995635 width=88)
- predicate:(ss_sold_date_sk is not null and ss_store_sk is not null)
- TableScan [TS_0] (rows=575995635 width=88)
- default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_store_sk","ss_sales_price"]
- <-Map 12 [SIMPLE_EDGE]
- SHUFFLE [RS_35]
- PartitionCols:_col0
- Select Operator [SEL_5] (rows=73049 width=1119)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_91] (rows=73049 width=1119)
- predicate:(d_date_sk is not null and d_week_seq is not null)
- TableScan [TS_3] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_week_seq","d_day_name"]
- <-Reducer 5 [SIMPLE_EDGE]
- SHUFFLE [RS_56]
- PartitionCols:_col2, _col1
- Select Operator [SEL_27] (rows=383325119 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
- Merge Join Operator [MERGEJOIN_100] (rows=383325119 width=88)
- Conds:RS_24._col1=RS_25._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col12","_col13"]
- <-Map 14 [SIMPLE_EDGE]
- SHUFFLE [RS_25]
- PartitionCols:_col0
- Select Operator [SEL_20] (rows=1704 width=1910)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_93] (rows=1704 width=1910)
- predicate:(s_store_id is not null and s_store_sk is not null)
- TableScan [TS_18] (rows=1704 width=1910)
- default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_id","s_store_name"]
- <-Reducer 4 [SIMPLE_EDGE]
- SHUFFLE [RS_24]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_99] (rows=348477374 width=88)
- Conds:RS_21._col0=RS_22._col1(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
- <-Map 13 [SIMPLE_EDGE]
- SHUFFLE [RS_22]
- PartitionCols:_col1
- Select Operator [SEL_17] (rows=8116 width=1119)
- Output:["_col1"]
- Filter Operator [FIL_92] (rows=8116 width=1119)
- predicate:(d_month_seq BETWEEN 1185 AND 1196 and d_week_seq is not null)
- Please refer to the previous TableScan [TS_15]
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_21]
- PartitionCols:_col0
- Group By Operator [GBY_13] (rows=316797606 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)"],keys:KEY._col0, KEY._col1
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_12]
- PartitionCols:_col0, _col1
- Group By Operator [GBY_11] (rows=633595212 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)","sum(_col5)","sum(_col6)","sum(_col7)","sum(_col8)"],keys:_col0, _col1
- Select Operator [SEL_9] (rows=633595212 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
- Merge Join Operator [MERGEJOIN_98] (rows=633595212 width=88)
- Conds:RS_6._col0=RS_7._col0(Inner),Output:["_col1","_col2","_col4","_col5"]
- <-Map 1 [SIMPLE_EDGE]
- SHUFFLE [RS_6]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_2]
- <-Map 12 [SIMPLE_EDGE]
- SHUFFLE [RS_7]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_5]
-
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query6.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query6.q.out b/ql/src/test/results/clientpositive/perf/query6.q.out
deleted file mode 100644
index f1e4758..0000000
--- a/ql/src/test/results/clientpositive/perf/query6.q.out
+++ /dev/null
@@ -1,226 +0,0 @@
-Warning: Shuffle Join MERGEJOIN[111][tables = [$hdt$_5, $hdt$_6]] in Stage 'Reducer 12' is a cross product
-PREHOOK: query: explain
-select a.ca_state state, count(*) cnt
- from customer_address a
- ,customer c
- ,store_sales s
- ,date_dim d
- ,item i
- where a.ca_address_sk = c.c_current_addr_sk
- and c.c_customer_sk = s.ss_customer_sk
- and s.ss_sold_date_sk = d.d_date_sk
- and s.ss_item_sk = i.i_item_sk
- and d.d_month_seq =
- (select distinct (d_month_seq)
- from date_dim
- where d_year = 2000
- and d_moy = 2 )
- and i.i_current_price > 1.2 *
- (select avg(j.i_current_price)
- from item j
- where j.i_category = i.i_category)
- group by a.ca_state
- having count(*) >= 10
- order by cnt
- limit 100
-PREHOOK: type: QUERY
-POSTHOOK: query: explain
-select a.ca_state state, count(*) cnt
- from customer_address a
- ,customer c
- ,store_sales s
- ,date_dim d
- ,item i
- where a.ca_address_sk = c.c_current_addr_sk
- and c.c_customer_sk = s.ss_customer_sk
- and s.ss_sold_date_sk = d.d_date_sk
- and s.ss_item_sk = i.i_item_sk
- and d.d_month_seq =
- (select distinct (d_month_seq)
- from date_dim
- where d_year = 2000
- and d_moy = 2 )
- and i.i_current_price > 1.2 *
- (select avg(j.i_current_price)
- from item j
- where j.i_category = i.i_category)
- group by a.ca_state
- having count(*) >= 10
- order by cnt
- limit 100
-POSTHOOK: type: QUERY
-Plan optimized by CBO.
-
-Vertex dependency in root stage
-Reducer 10 <- Map 8 (SIMPLE_EDGE)
-Reducer 11 <- Reducer 10 (CUSTOM_SIMPLE_EDGE)
-Reducer 12 <- Reducer 11 (CUSTOM_SIMPLE_EDGE), Reducer 19 (CUSTOM_SIMPLE_EDGE)
-Reducer 13 <- Map 20 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
-Reducer 16 <- Map 15 (SIMPLE_EDGE), Map 17 (SIMPLE_EDGE)
-Reducer 19 <- Map 18 (SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 9 (ONE_TO_ONE_EDGE)
-Reducer 3 <- Map 14 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Reducer 16 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Reducer 13 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
-Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
-Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
-Reducer 9 <- Map 8 (SIMPLE_EDGE)
-
-Stage-0
- Fetch Operator
- limit:100
- Stage-1
- Reducer 7
- File Output Operator [FS_76]
- Limit [LIM_75] (rows=100 width=88)
- Number of rows:100
- Select Operator [SEL_74] (rows=127775039 width=88)
- Output:["_col0","_col1"]
- <-Reducer 6 [SIMPLE_EDGE]
- SHUFFLE [RS_73]
- Filter Operator [FIL_71] (rows=127775039 width=88)
- predicate:(_col1 >= 10)
- Group By Operator [GBY_70] (rows=383325119 width=88)
- Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
- <-Reducer 5 [SIMPLE_EDGE]
- SHUFFLE [RS_69]
- PartitionCols:_col0
- Group By Operator [GBY_68] (rows=766650239 width=88)
- Output:["_col0","_col1"],aggregations:["count()"],keys:_col9
- Merge Join Operator [MERGEJOIN_114] (rows=766650239 width=88)
- Conds:RS_64._col4=RS_65._col0(Inner),Output:["_col9"]
- <-Reducer 13 [SIMPLE_EDGE]
- SHUFFLE [RS_65]
- PartitionCols:_col0
- Select Operator [SEL_54] (rows=169400 width=1436)
- Output:["_col0"]
- Filter Operator [FIL_53] (rows=169400 width=1436)
- predicate:(_col5 > (1.2 * CASE WHEN (_col1 is null) THEN (null) ELSE (_col0) END))
- Merge Join Operator [MERGEJOIN_112] (rows=508200 width=1436)
- Conds:RS_50._col2=RS_51._col2(Inner),Output:["_col0","_col1","_col4","_col5"]
- <-Map 20 [SIMPLE_EDGE]
- SHUFFLE [RS_51]
- PartitionCols:_col2
- Select Operator [SEL_46] (rows=462000 width=1436)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_107] (rows=462000 width=1436)
- predicate:i_item_sk is not null
- TableScan [TS_44] (rows=462000 width=1436)
- default@item,i,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_current_price","i_category"]
- <-Reducer 12 [SIMPLE_EDGE]
- SHUFFLE [RS_50]
- PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_111] (rows=231000 width=1445)
- Conds:(Inner),Output:["_col0","_col1","_col2"]
- <-Reducer 11 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_48]
- Select Operator [SEL_43] (rows=1 width=8)
- Filter Operator [FIL_42] (rows=1 width=8)
- predicate:(sq_count_check(_col0) <= 1)
- Group By Operator [GBY_40] (rows=1 width=8)
- Output:["_col0"],aggregations:["count(VALUE._col0)"]
- <-Reducer 10 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_39]
- Group By Operator [GBY_38] (rows=1 width=8)
- Output:["_col0"],aggregations:["count()"]
- Select Operator [SEL_36] (rows=9131 width=1119)
- Group By Operator [GBY_35] (rows=9131 width=1119)
- Output:["_col0"],keys:KEY._col0
- <-Map 8 [SIMPLE_EDGE]
- SHUFFLE [RS_34]
- PartitionCols:_col0
- Group By Operator [GBY_33] (rows=18262 width=1119)
- Output:["_col0"],keys:d_month_seq
- Select Operator [SEL_32] (rows=18262 width=1119)
- Output:["d_month_seq"]
- Filter Operator [FIL_106] (rows=18262 width=1119)
- predicate:((d_moy = 2) and (d_year = 2000))
- TableScan [TS_3] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_month_seq","d_year","d_moy"]
- <-Reducer 19 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_47]
- Select Operator [SEL_29] (rows=231000 width=1436)
- Output:["_col0","_col1","_col2"]
- Group By Operator [GBY_28] (rows=231000 width=1436)
- Output:["_col0","_col1"],aggregations:["avg(VALUE._col0)"],keys:KEY._col0
- <-Map 18 [SIMPLE_EDGE]
- SHUFFLE [RS_27]
- PartitionCols:_col0
- Group By Operator [GBY_26] (rows=462000 width=1436)
- Output:["_col0","_col1"],aggregations:["avg(i_current_price)"],keys:i_category
- Filter Operator [FIL_105] (rows=462000 width=1436)
- predicate:i_category is not null
- TableScan [TS_23] (rows=462000 width=1436)
- default@item,j,Tbl:COMPLETE,Col:NONE,Output:["i_current_price","i_category"]
- <-Reducer 4 [SIMPLE_EDGE]
- SHUFFLE [RS_64]
- PartitionCols:_col4
- Merge Join Operator [MERGEJOIN_113] (rows=696954748 width=88)
- Conds:RS_61._col5=RS_62._col0(Inner),Output:["_col4","_col9"]
- <-Reducer 16 [SIMPLE_EDGE]
- SHUFFLE [RS_62]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_110] (rows=88000001 width=860)
- Conds:RS_19._col1=RS_20._col0(Inner),Output:["_col0","_col3"]
- <-Map 15 [SIMPLE_EDGE]
- SHUFFLE [RS_19]
- PartitionCols:_col1
- Select Operator [SEL_15] (rows=80000000 width=860)
- Output:["_col0","_col1"]
- Filter Operator [FIL_103] (rows=80000000 width=860)
- predicate:(c_current_addr_sk is not null and c_customer_sk is not null)
- TableScan [TS_13] (rows=80000000 width=860)
- default@customer,c,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"]
- <-Map 17 [SIMPLE_EDGE]
- SHUFFLE [RS_20]
- PartitionCols:_col0
- Select Operator [SEL_18] (rows=40000000 width=1014)
- Output:["_col0","_col1"]
- Filter Operator [FIL_104] (rows=40000000 width=1014)
- predicate:ca_address_sk is not null
- TableScan [TS_16] (rows=40000000 width=1014)
- default@customer_address,a,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state"]
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_61]
- PartitionCols:_col5
- Merge Join Operator [MERGEJOIN_109] (rows=633595212 width=88)
- Conds:RS_58._col0=RS_59._col0(Inner),Output:["_col4","_col5"]
- <-Map 14 [SIMPLE_EDGE]
- SHUFFLE [RS_59]
- PartitionCols:_col0
- Select Operator [SEL_12] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_102] (rows=575995635 width=88)
- predicate:(ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null)
- TableScan [TS_10] (rows=575995635 width=88)
- default@store_sales,s,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk"]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_58]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_108] (rows=80353 width=1119)
- Conds:RS_55._col1=RS_56._col0(Inner),Output:["_col0"]
- <-Map 1 [SIMPLE_EDGE]
- SHUFFLE [RS_55]
- PartitionCols:_col1
- Select Operator [SEL_2] (rows=73049 width=1119)
- Output:["_col0","_col1"]
- Filter Operator [FIL_100] (rows=73049 width=1119)
- predicate:(d_date_sk is not null and d_month_seq is not null)
- TableScan [TS_0] (rows=73049 width=1119)
- default@date_dim,d,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_month_seq"]
- <-Reducer 9 [ONE_TO_ONE_EDGE]
- FORWARD [RS_56]
- PartitionCols:_col0
- Group By Operator [GBY_8] (rows=9131 width=1119)
- Output:["_col0"],keys:KEY._col0
- <-Map 8 [SIMPLE_EDGE]
- SHUFFLE [RS_7]
- PartitionCols:_col0
- Group By Operator [GBY_6] (rows=18262 width=1119)
- Output:["_col0"],keys:d_month_seq
- Select Operator [SEL_5] (rows=18262 width=1119)
- Output:["d_month_seq"]
- Filter Operator [FIL_101] (rows=18262 width=1119)
- predicate:((d_moy = 2) and (d_year = 2000) and d_month_seq is not null)
- Please refer to the previous TableScan [TS_3]
-
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query60.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query60.q.out b/ql/src/test/results/clientpositive/perf/query60.q.out
deleted file mode 100644
index 84a9ada..0000000
--- a/ql/src/test/results/clientpositive/perf/query60.q.out
+++ /dev/null
@@ -1,399 +0,0 @@
-PREHOOK: query: explain
-with ss as (
- select
- i_item_id,sum(ss_ext_sales_price) total_sales
- from
- store_sales,
- date_dim,
- customer_address,
- item
- where
- i_item_id in (select
- i_item_id
-from
- item
-where i_category in ('Children'))
- and ss_item_sk = i_item_sk
- and ss_sold_date_sk = d_date_sk
- and d_year = 1999
- and d_moy = 9
- and ss_addr_sk = ca_address_sk
- and ca_gmt_offset = -6
- group by i_item_id),
- cs as (
- select
- i_item_id,sum(cs_ext_sales_price) total_sales
- from
- catalog_sales,
- date_dim,
- customer_address,
- item
- where
- i_item_id in (select
- i_item_id
-from
- item
-where i_category in ('Children'))
- and cs_item_sk = i_item_sk
- and cs_sold_date_sk = d_date_sk
- and d_year = 1999
- and d_moy = 9
- and cs_bill_addr_sk = ca_address_sk
- and ca_gmt_offset = -6
- group by i_item_id),
- ws as (
- select
- i_item_id,sum(ws_ext_sales_price) total_sales
- from
- web_sales,
- date_dim,
- customer_address,
- item
- where
- i_item_id in (select
- i_item_id
-from
- item
-where i_category in ('Children'))
- and ws_item_sk = i_item_sk
- and ws_sold_date_sk = d_date_sk
- and d_year = 1999
- and d_moy = 9
- and ws_bill_addr_sk = ca_address_sk
- and ca_gmt_offset = -6
- group by i_item_id)
- select
- i_item_id
-,sum(total_sales) total_sales
- from (select * from ss
- union all
- select * from cs
- union all
- select * from ws) tmp1
- group by i_item_id
- order by i_item_id
- ,total_sales
- limit 100
-PREHOOK: type: QUERY
-POSTHOOK: query: explain
-with ss as (
- select
- i_item_id,sum(ss_ext_sales_price) total_sales
- from
- store_sales,
- date_dim,
- customer_address,
- item
- where
- i_item_id in (select
- i_item_id
-from
- item
-where i_category in ('Children'))
- and ss_item_sk = i_item_sk
- and ss_sold_date_sk = d_date_sk
- and d_year = 1999
- and d_moy = 9
- and ss_addr_sk = ca_address_sk
- and ca_gmt_offset = -6
- group by i_item_id),
- cs as (
- select
- i_item_id,sum(cs_ext_sales_price) total_sales
- from
- catalog_sales,
- date_dim,
- customer_address,
- item
- where
- i_item_id in (select
- i_item_id
-from
- item
-where i_category in ('Children'))
- and cs_item_sk = i_item_sk
- and cs_sold_date_sk = d_date_sk
- and d_year = 1999
- and d_moy = 9
- and cs_bill_addr_sk = ca_address_sk
- and ca_gmt_offset = -6
- group by i_item_id),
- ws as (
- select
- i_item_id,sum(ws_ext_sales_price) total_sales
- from
- web_sales,
- date_dim,
- customer_address,
- item
- where
- i_item_id in (select
- i_item_id
-from
- item
-where i_category in ('Children'))
- and ws_item_sk = i_item_sk
- and ws_sold_date_sk = d_date_sk
- and d_year = 1999
- and d_moy = 9
- and ws_bill_addr_sk = ca_address_sk
- and ca_gmt_offset = -6
- group by i_item_id)
- select
- i_item_id
-,sum(total_sales) total_sales
- from (select * from ss
- union all
- select * from cs
- union all
- select * from ws) tmp1
- group by i_item_id
- order by i_item_id
- ,total_sales
- limit 100
-POSTHOOK: type: QUERY
-Plan optimized by CBO.
-
-Vertex dependency in root stage
-Reducer 10 <- Reducer 9 (SIMPLE_EDGE), Union 5 (CONTAINS)
-Reducer 11 <- Map 1 (SIMPLE_EDGE), Reducer 17 (ONE_TO_ONE_EDGE)
-Reducer 12 <- Reducer 11 (SIMPLE_EDGE), Reducer 25 (SIMPLE_EDGE)
-Reducer 13 <- Reducer 12 (SIMPLE_EDGE), Union 5 (CONTAINS)
-Reducer 15 <- Map 14 (SIMPLE_EDGE)
-Reducer 16 <- Map 14 (SIMPLE_EDGE)
-Reducer 17 <- Map 14 (SIMPLE_EDGE)
-Reducer 19 <- Map 18 (SIMPLE_EDGE), Map 21 (SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 15 (ONE_TO_ONE_EDGE)
-Reducer 20 <- Map 26 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE)
-Reducer 22 <- Map 21 (SIMPLE_EDGE), Map 27 (SIMPLE_EDGE)
-Reducer 23 <- Map 26 (SIMPLE_EDGE), Reducer 22 (SIMPLE_EDGE)
-Reducer 24 <- Map 21 (SIMPLE_EDGE), Map 28 (SIMPLE_EDGE)
-Reducer 25 <- Map 26 (SIMPLE_EDGE), Reducer 24 (SIMPLE_EDGE)
-Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE)
-Reducer 4 <- Reducer 3 (SIMPLE_EDGE), Union 5 (CONTAINS)
-Reducer 6 <- Union 5 (SIMPLE_EDGE)
-Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
-Reducer 8 <- Map 1 (SIMPLE_EDGE), Reducer 16 (ONE_TO_ONE_EDGE)
-Reducer 9 <- Reducer 23 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE)
-
-Stage-0
- Fetch Operator
- limit:100
- Stage-1
- Reducer 7
- File Output Operator [FS_121]
- Limit [LIM_120] (rows=100 width=108)
- Number of rows:100
- Select Operator [SEL_119] (rows=335408073 width=108)
- Output:["_col0","_col1"]
- <-Reducer 6 [SIMPLE_EDGE]
- SHUFFLE [RS_118]
- Group By Operator [GBY_116] (rows=335408073 width=108)
- Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
- <-Union 5 [SIMPLE_EDGE]
- <-Reducer 10 [CONTAINS]
- Reduce Output Operator [RS_115]
- PartitionCols:_col0
- Group By Operator [GBY_114] (rows=670816147 width=108)
- Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0
- Group By Operator [GBY_72] (rows=191657247 width=135)
- Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
- <-Reducer 9 [SIMPLE_EDGE]
- SHUFFLE [RS_71]
- PartitionCols:_col0
- Group By Operator [GBY_70] (rows=383314495 width=135)
- Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1
- Merge Join Operator [MERGEJOIN_183] (rows=383314495 width=135)
- Conds:RS_66._col0=RS_67._col4(Inner),Output:["_col1","_col8"]
- <-Reducer 23 [SIMPLE_EDGE]
- SHUFFLE [RS_67]
- PartitionCols:_col4
- Select Operator [SEL_62] (rows=348467716 width=135)
- Output:["_col4","_col5"]
- Merge Join Operator [MERGEJOIN_178] (rows=348467716 width=135)
- Conds:RS_59._col1=RS_60._col0(Inner),Output:["_col2","_col3"]
- <-Map 26 [SIMPLE_EDGE]
- SHUFFLE [RS_60]
- PartitionCols:_col0
- Select Operator [SEL_18] (rows=20000000 width=1014)
- Output:["_col0"]
- Filter Operator [FIL_162] (rows=20000000 width=1014)
- predicate:((ca_gmt_offset = -6) and ca_address_sk is not null)
- TableScan [TS_16] (rows=40000000 width=1014)
- default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_gmt_offset"]
- <-Reducer 22 [SIMPLE_EDGE]
- SHUFFLE [RS_59]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_177] (rows=316788826 width=135)
- Conds:RS_56._col0=RS_57._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 21 [SIMPLE_EDGE]
- SHUFFLE [RS_57]
- PartitionCols:_col0
- Select Operator [SEL_15] (rows=18262 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_161] (rows=18262 width=1119)
- predicate:((d_moy = 9) and (d_year = 1999) and d_date_sk is not null)
- TableScan [TS_13] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"]
- <-Map 27 [SIMPLE_EDGE]
- SHUFFLE [RS_56]
- PartitionCols:_col0
- Select Operator [SEL_49] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_165] (rows=287989836 width=135)
- predicate:(cs_bill_addr_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null)
- TableScan [TS_47] (rows=287989836 width=135)
- default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_addr_sk","cs_item_sk","cs_ext_sales_price"]
- <-Reducer 8 [SIMPLE_EDGE]
- SHUFFLE [RS_66]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_176] (rows=508200 width=1436)
- Conds:RS_63._col1=RS_64._col0(Inner),Output:["_col0","_col1"]
- <-Map 1 [SIMPLE_EDGE]
- SHUFFLE [RS_63]
- PartitionCols:_col1
- Select Operator [SEL_2] (rows=462000 width=1436)
- Output:["_col0","_col1"]
- Filter Operator [FIL_158] (rows=462000 width=1436)
- predicate:(i_item_id is not null and i_item_sk is not null)
- TableScan [TS_0] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"]
- <-Reducer 16 [ONE_TO_ONE_EDGE]
- FORWARD [RS_64]
- PartitionCols:_col0
- Group By Operator [GBY_45] (rows=115500 width=1436)
- Output:["_col0"],keys:KEY._col0
- <-Map 14 [SIMPLE_EDGE]
- SHUFFLE [RS_44]
- PartitionCols:_col0
- Group By Operator [GBY_6] (rows=231000 width=1436)
- Output:["_col0"],keys:i_item_id
- Select Operator [SEL_5] (rows=231000 width=1436)
- Output:["i_item_id"]
- Filter Operator [FIL_159] (rows=231000 width=1436)
- predicate:((i_category) IN ('Children') and i_item_id is not null)
- TableScan [TS_3] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_id","i_category"]
- <-Reducer 13 [CONTAINS]
- Reduce Output Operator [RS_115]
- PartitionCols:_col0
- Group By Operator [GBY_114] (rows=670816147 width=108)
- Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0
- Group By Operator [GBY_110] (rows=95833781 width=135)
- Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
- <-Reducer 12 [SIMPLE_EDGE]
- SHUFFLE [RS_109]
- PartitionCols:_col0
- Group By Operator [GBY_108] (rows=191667562 width=135)
- Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1
- Merge Join Operator [MERGEJOIN_184] (rows=191667562 width=135)
- Conds:RS_104._col0=RS_105._col3(Inner),Output:["_col1","_col8"]
- <-Reducer 11 [SIMPLE_EDGE]
- SHUFFLE [RS_104]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_179] (rows=508200 width=1436)
- Conds:RS_101._col1=RS_102._col0(Inner),Output:["_col0","_col1"]
- <-Map 1 [SIMPLE_EDGE]
- SHUFFLE [RS_101]
- PartitionCols:_col1
- Please refer to the previous Select Operator [SEL_2]
- <-Reducer 17 [ONE_TO_ONE_EDGE]
- FORWARD [RS_102]
- PartitionCols:_col0
- Group By Operator [GBY_83] (rows=115500 width=1436)
- Output:["_col0"],keys:KEY._col0
- <-Map 14 [SIMPLE_EDGE]
- SHUFFLE [RS_82]
- PartitionCols:_col0
- Please refer to the previous Group By Operator [GBY_6]
- <-Reducer 25 [SIMPLE_EDGE]
- SHUFFLE [RS_105]
- PartitionCols:_col3
- Select Operator [SEL_100] (rows=174243235 width=135)
- Output:["_col3","_col5"]
- Merge Join Operator [MERGEJOIN_181] (rows=174243235 width=135)
- Conds:RS_97._col2=RS_98._col0(Inner),Output:["_col1","_col3"]
- <-Map 26 [SIMPLE_EDGE]
- SHUFFLE [RS_98]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_18]
- <-Reducer 24 [SIMPLE_EDGE]
- SHUFFLE [RS_97]
- PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_180] (rows=158402938 width=135)
- Conds:RS_94._col0=RS_95._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 21 [SIMPLE_EDGE]
- SHUFFLE [RS_95]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_15]
- <-Map 28 [SIMPLE_EDGE]
- SHUFFLE [RS_94]
- PartitionCols:_col0
- Select Operator [SEL_87] (rows=144002668 width=135)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_170] (rows=144002668 width=135)
- predicate:(ws_bill_addr_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null)
- TableScan [TS_85] (rows=144002668 width=135)
- default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_bill_addr_sk","ws_ext_sales_price"]
- <-Reducer 4 [CONTAINS]
- Reduce Output Operator [RS_115]
- PartitionCols:_col0
- Group By Operator [GBY_114] (rows=670816147 width=108)
- Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0
- Group By Operator [GBY_35] (rows=383325119 width=88)
- Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_34]
- PartitionCols:_col0
- Group By Operator [GBY_33] (rows=766650239 width=88)
- Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1
- Merge Join Operator [MERGEJOIN_182] (rows=766650239 width=88)
- Conds:RS_29._col0=RS_30._col3(Inner),Output:["_col1","_col8"]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_29]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_173] (rows=508200 width=1436)
- Conds:RS_26._col1=RS_27._col0(Inner),Output:["_col0","_col1"]
- <-Map 1 [SIMPLE_EDGE]
- SHUFFLE [RS_26]
- PartitionCols:_col1
- Please refer to the previous Select Operator [SEL_2]
- <-Reducer 15 [ONE_TO_ONE_EDGE]
- FORWARD [RS_27]
- PartitionCols:_col0
- Group By Operator [GBY_8] (rows=115500 width=1436)
- Output:["_col0"],keys:KEY._col0
- <-Map 14 [SIMPLE_EDGE]
- SHUFFLE [RS_7]
- PartitionCols:_col0
- Please refer to the previous Group By Operator [GBY_6]
- <-Reducer 20 [SIMPLE_EDGE]
- SHUFFLE [RS_30]
- PartitionCols:_col3
- Select Operator [SEL_25] (rows=696954748 width=88)
- Output:["_col3","_col5"]
- Merge Join Operator [MERGEJOIN_175] (rows=696954748 width=88)
- Conds:RS_22._col2=RS_23._col0(Inner),Output:["_col1","_col3"]
- <-Map 26 [SIMPLE_EDGE]
- SHUFFLE [RS_23]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_18]
- <-Reducer 19 [SIMPLE_EDGE]
- SHUFFLE [RS_22]
- PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_174] (rows=633595212 width=88)
- Conds:RS_19._col0=RS_20._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 21 [SIMPLE_EDGE]
- SHUFFLE [RS_20]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_15]
- <-Map 18 [SIMPLE_EDGE]
- SHUFFLE [RS_19]
- PartitionCols:_col0
- Select Operator [SEL_12] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_160] (rows=575995635 width=88)
- predicate:(ss_addr_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null)
- TableScan [TS_10] (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"]
-