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Posted to commits@hive.apache.org by jc...@apache.org on 2018/10/24 23:12:37 UTC
[3/6] hive git commit: HIVE-20788: Extended SJ reduction may
backtrack columns incorrectly when creating filters (Jesus Camacho Rodriguez,
reviewed by Deepak Jaiswal)
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/query60.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query60.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query60.q.out
index cb94e4f..5ba912a 100644
--- a/ql/src/test/results/clientpositive/perf/tez/constraints/query60.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query60.q.out
@@ -203,57 +203,57 @@ Stage-0
limit:100
Stage-1
Reducer 7 vectorized
- File Output Operator [FS_375]
- Limit [LIM_374] (rows=100 width=212)
+ File Output Operator [FS_371]
+ Limit [LIM_370] (rows=100 width=212)
Number of rows:100
- Select Operator [SEL_373] (rows=1717 width=212)
+ Select Operator [SEL_369] (rows=1717 width=212)
Output:["_col0","_col1"]
<-Reducer 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_372]
- Group By Operator [GBY_371] (rows=1717 width=212)
+ SHUFFLE [RS_368]
+ Group By Operator [GBY_367] (rows=1717 width=212)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Union 5 [SIMPLE_EDGE]
<-Reducer 10 [CONTAINS] vectorized
- Reduce Output Operator [RS_388]
+ Reduce Output Operator [RS_384]
PartitionCols:_col0
- Group By Operator [GBY_387] (rows=1717 width=212)
+ Group By Operator [GBY_383] (rows=1717 width=212)
Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0
- Top N Key Operator [TNK_386] (rows=5151 width=212)
+ Top N Key Operator [TNK_382] (rows=5151 width=212)
keys:_col0,sort order:+,top n:100
- Group By Operator [GBY_385] (rows=1717 width=212)
+ Group By Operator [GBY_381] (rows=1717 width=212)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 9 [SIMPLE_EDGE]
SHUFFLE [RS_69]
PartitionCols:_col0
Group By Operator [GBY_68] (rows=1717 width=212)
Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1
- Merge Join Operator [MERGEJOIN_305] (rows=746132 width=100)
+ Merge Join Operator [MERGEJOIN_301] (rows=746132 width=100)
Conds:RS_64._col0=RS_65._col3(Inner),Output:["_col1","_col7"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_64]
PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_295] (rows=34340 width=104)
- Conds:RS_323._col1=RS_329._col0(Inner),Output:["_col0","_col1"]
+ Merge Join Operator [MERGEJOIN_291] (rows=34340 width=104)
+ Conds:RS_319._col1=RS_325._col0(Inner),Output:["_col0","_col1"]
<-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_323]
+ SHUFFLE [RS_319]
PartitionCols:_col1
- Select Operator [SEL_322] (rows=462000 width=104)
+ Select Operator [SEL_318] (rows=462000 width=104)
Output:["_col0","_col1"]
TableScan [TS_0] (rows=462000 width=104)
default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id"]
<-Reducer 16 [ONE_TO_ONE_EDGE] vectorized
- FORWARD [RS_329]
+ FORWARD [RS_325]
PartitionCols:_col0
- Group By Operator [GBY_328] (rows=23100 width=100)
+ Group By Operator [GBY_324] (rows=23100 width=100)
Output:["_col0"],keys:KEY._col0
<-Map 15 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_327]
+ SHUFFLE [RS_323]
PartitionCols:_col0
- Group By Operator [GBY_326] (rows=23100 width=100)
+ Group By Operator [GBY_322] (rows=23100 width=100)
Output:["_col0"],keys:i_item_id
- Select Operator [SEL_325] (rows=46200 width=190)
+ Select Operator [SEL_321] (rows=46200 width=190)
Output:["i_item_id"]
- Filter Operator [FIL_324] (rows=46200 width=190)
+ Filter Operator [FIL_320] (rows=46200 width=190)
predicate:(i_category = 'Children')
TableScan [TS_2] (rows=462000 width=190)
default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_id","i_category"]
@@ -262,235 +262,235 @@ Stage-0
PartitionCols:_col3
Select Operator [SEL_60] (rows=1550375 width=13)
Output:["_col3","_col4"]
- Merge Join Operator [MERGEJOIN_300] (rows=1550375 width=13)
- Conds:RS_57._col1=RS_350._col0(Inner),Output:["_col2","_col3"]
+ Merge Join Operator [MERGEJOIN_296] (rows=1550375 width=13)
+ Conds:RS_57._col1=RS_346._col0(Inner),Output:["_col2","_col3"]
<-Map 28 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_350]
+ PARTITION_ONLY_SHUFFLE [RS_346]
PartitionCols:_col0
- Select Operator [SEL_347] (rows=8000000 width=4)
+ Select Operator [SEL_343] (rows=8000000 width=4)
Output:["_col0"]
- Filter Operator [FIL_346] (rows=8000000 width=112)
+ Filter Operator [FIL_342] (rows=8000000 width=112)
predicate:(ca_gmt_offset = -6)
TableScan [TS_15] (rows=40000000 width=112)
default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_gmt_offset"]
<-Reducer 22 [SIMPLE_EDGE]
SHUFFLE [RS_57]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_299] (rows=7751872 width=98)
- Conds:RS_384._col0=RS_334._col0(Inner),Output:["_col1","_col2","_col3"]
+ Merge Join Operator [MERGEJOIN_295] (rows=7751872 width=98)
+ Conds:RS_380._col0=RS_330._col0(Inner),Output:["_col1","_col2","_col3"]
<-Map 20 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_334]
+ PARTITION_ONLY_SHUFFLE [RS_330]
PartitionCols:_col0
- Select Operator [SEL_331] (rows=50 width=4)
+ Select Operator [SEL_327] (rows=50 width=4)
Output:["_col0"]
- Filter Operator [FIL_330] (rows=50 width=12)
+ Filter Operator [FIL_326] (rows=50 width=12)
predicate:((d_moy = 9) and (d_year = 1999))
TableScan [TS_12] (rows=73049 width=12)
default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year","d_moy"]
<-Map 32 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_384]
+ SHUFFLE [RS_380]
PartitionCols:_col0
- Select Operator [SEL_383] (rows=285117733 width=123)
+ Select Operator [SEL_379] (rows=285117733 width=123)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_382] (rows=285117733 width=123)
+ Filter Operator [FIL_378] (rows=285117733 width=123)
predicate:((cs_bill_addr_sk BETWEEN DynamicValue(RS_58_customer_address_ca_address_sk_min) AND DynamicValue(RS_58_customer_address_ca_address_sk_max) and in_bloom_filter(cs_bill_addr_sk, DynamicValue(RS_58_customer_address_ca_address_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_64_item_i_item_sk_min) AND DynamicValue(RS_64_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_64_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_55_date_dim_d_date_sk_min) AND DynamicValue(RS_55_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_55_date_dim_d_date_sk_bloom_filter))) and cs_bill_addr_sk is not null and cs_sold_date_sk is not null)
TableScan [TS_45] (rows=287989836 width=123)
default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_addr_sk","cs_item_sk","cs_ext_sales_price"]
<-Reducer 11 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_381]
- Group By Operator [GBY_380] (rows=1 width=12)
+ BROADCAST [RS_377]
+ Group By Operator [GBY_376] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Reducer 2 [CUSTOM_SIMPLE_EDGE]
- SHUFFLE [RS_240]
- Group By Operator [GBY_239] (rows=1 width=12)
+ SHUFFLE [RS_238]
+ Group By Operator [GBY_237] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_238] (rows=34340 width=4)
+ Select Operator [SEL_236] (rows=34340 width=4)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_295]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_291]
<-Reducer 24 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_377]
- Group By Operator [GBY_376] (rows=1 width=12)
+ BROADCAST [RS_373]
+ Group By Operator [GBY_372] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_342]
- Group By Operator [GBY_339] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_338]
+ Group By Operator [GBY_335] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_335] (rows=50 width=4)
+ Select Operator [SEL_331] (rows=50 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_331]
+ Please refer to the previous Select Operator [SEL_327]
<-Reducer 30 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_379]
- Group By Operator [GBY_378] (rows=1 width=12)
+ BROADCAST [RS_375]
+ Group By Operator [GBY_374] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"]
<-Map 28 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_358]
- Group By Operator [GBY_355] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_354]
+ Group By Operator [GBY_351] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"]
- Select Operator [SEL_351] (rows=8000000 width=4)
+ Select Operator [SEL_347] (rows=8000000 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_347]
+ Please refer to the previous Select Operator [SEL_343]
<-Reducer 13 [CONTAINS] vectorized
- Reduce Output Operator [RS_401]
+ Reduce Output Operator [RS_397]
PartitionCols:_col0
- Group By Operator [GBY_400] (rows=1717 width=212)
+ Group By Operator [GBY_396] (rows=1717 width=212)
Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0
- Top N Key Operator [TNK_399] (rows=5151 width=212)
+ Top N Key Operator [TNK_395] (rows=5151 width=212)
keys:_col0,sort order:+,top n:100
- Group By Operator [GBY_398] (rows=1717 width=212)
+ Group By Operator [GBY_394] (rows=1717 width=212)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 12 [SIMPLE_EDGE]
SHUFFLE [RS_106]
PartitionCols:_col0
Group By Operator [GBY_105] (rows=1717 width=212)
Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1
- Merge Join Operator [MERGEJOIN_306] (rows=379339 width=201)
+ Merge Join Operator [MERGEJOIN_302] (rows=379339 width=201)
Conds:RS_101._col0=RS_102._col2(Inner),Output:["_col1","_col7"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_101]
PartitionCols:_col0
- Please refer to the previous Merge Join Operator [MERGEJOIN_295]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_291]
<-Reducer 26 [SIMPLE_EDGE]
SHUFFLE [RS_102]
PartitionCols:_col2
Select Operator [SEL_97] (rows=788222 width=110)
Output:["_col2","_col4"]
- Merge Join Operator [MERGEJOIN_303] (rows=788222 width=110)
- Conds:RS_94._col2=RS_352._col0(Inner),Output:["_col1","_col3"]
+ Merge Join Operator [MERGEJOIN_299] (rows=788222 width=110)
+ Conds:RS_94._col2=RS_348._col0(Inner),Output:["_col1","_col3"]
<-Map 28 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_352]
+ PARTITION_ONLY_SHUFFLE [RS_348]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_347]
+ Please refer to the previous Select Operator [SEL_343]
<-Reducer 25 [SIMPLE_EDGE]
SHUFFLE [RS_94]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_302] (rows=3941109 width=118)
- Conds:RS_397._col0=RS_336._col0(Inner),Output:["_col1","_col2","_col3"]
+ Merge Join Operator [MERGEJOIN_298] (rows=3941109 width=118)
+ Conds:RS_393._col0=RS_332._col0(Inner),Output:["_col1","_col2","_col3"]
<-Map 20 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_336]
+ PARTITION_ONLY_SHUFFLE [RS_332]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_331]
+ Please refer to the previous Select Operator [SEL_327]
<-Map 33 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_397]
+ SHUFFLE [RS_393]
PartitionCols:_col0
- Select Operator [SEL_396] (rows=143931246 width=123)
+ Select Operator [SEL_392] (rows=143931246 width=123)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_395] (rows=143931246 width=123)
+ Filter Operator [FIL_391] (rows=143931246 width=123)
predicate:((ws_bill_addr_sk BETWEEN DynamicValue(RS_95_customer_address_ca_address_sk_min) AND DynamicValue(RS_95_customer_address_ca_address_sk_max) and in_bloom_filter(ws_bill_addr_sk, DynamicValue(RS_95_customer_address_ca_address_sk_bloom_filter))) and (ws_item_sk BETWEEN DynamicValue(RS_101_item_i_item_sk_min) AND DynamicValue(RS_101_item_i_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_101_item_i_item_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_92_date_dim_d_date_sk_min) AND DynamicValue(RS_92_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_92_date_dim_d_date_sk_bloom_filter))) and ws_bill_addr_sk is not null and ws_sold_date_sk is not null)
TableScan [TS_82] (rows=144002668 width=123)
default@web_sales,web_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_sold_date_sk","ws_item_sk","ws_bill_addr_sk","ws_ext_sales_price"]
<-Reducer 14 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_394]
- Group By Operator [GBY_393] (rows=1 width=12)
+ BROADCAST [RS_390]
+ Group By Operator [GBY_389] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Reducer 2 [CUSTOM_SIMPLE_EDGE]
- SHUFFLE [RS_286]
- Group By Operator [GBY_285] (rows=1 width=12)
+ SHUFFLE [RS_278]
+ Group By Operator [GBY_277] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_284] (rows=34340 width=4)
+ Select Operator [SEL_276] (rows=34340 width=4)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_295]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_291]
<-Reducer 27 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_390]
- Group By Operator [GBY_389] (rows=1 width=12)
+ BROADCAST [RS_386]
+ Group By Operator [GBY_385] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_343]
- Group By Operator [GBY_340] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_339]
+ Group By Operator [GBY_336] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_337] (rows=50 width=4)
+ Select Operator [SEL_333] (rows=50 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_331]
+ Please refer to the previous Select Operator [SEL_327]
<-Reducer 31 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_392]
- Group By Operator [GBY_391] (rows=1 width=12)
+ BROADCAST [RS_388]
+ Group By Operator [GBY_387] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"]
<-Map 28 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_359]
- Group By Operator [GBY_356] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_355]
+ Group By Operator [GBY_352] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"]
- Select Operator [SEL_353] (rows=8000000 width=4)
+ Select Operator [SEL_349] (rows=8000000 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_347]
+ Please refer to the previous Select Operator [SEL_343]
<-Reducer 4 [CONTAINS] vectorized
- Reduce Output Operator [RS_370]
+ Reduce Output Operator [RS_366]
PartitionCols:_col0
- Group By Operator [GBY_369] (rows=1717 width=212)
+ Group By Operator [GBY_365] (rows=1717 width=212)
Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0
- Top N Key Operator [TNK_368] (rows=5151 width=212)
+ Top N Key Operator [TNK_364] (rows=5151 width=212)
keys:_col0,sort order:+,top n:100
- Group By Operator [GBY_367] (rows=1717 width=212)
+ Group By Operator [GBY_363] (rows=1717 width=212)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_33]
PartitionCols:_col0
Group By Operator [GBY_32] (rows=1717 width=212)
Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1
- Merge Join Operator [MERGEJOIN_304] (rows=1384530 width=100)
+ Merge Join Operator [MERGEJOIN_300] (rows=1384530 width=100)
Conds:RS_28._col0=RS_29._col2(Inner),Output:["_col1","_col7"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_28]
PartitionCols:_col0
- Please refer to the previous Merge Join Operator [MERGEJOIN_295]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_291]
<-Reducer 19 [SIMPLE_EDGE]
SHUFFLE [RS_29]
PartitionCols:_col2
Select Operator [SEL_24] (rows=2876890 width=4)
Output:["_col2","_col4"]
- Merge Join Operator [MERGEJOIN_297] (rows=2876890 width=4)
- Conds:RS_21._col2=RS_348._col0(Inner),Output:["_col1","_col3"]
+ Merge Join Operator [MERGEJOIN_293] (rows=2876890 width=4)
+ Conds:RS_21._col2=RS_344._col0(Inner),Output:["_col1","_col3"]
<-Map 28 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_348]
+ PARTITION_ONLY_SHUFFLE [RS_344]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_347]
+ Please refer to the previous Select Operator [SEL_343]
<-Reducer 18 [SIMPLE_EDGE]
SHUFFLE [RS_21]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_296] (rows=14384447 width=4)
- Conds:RS_366._col0=RS_332._col0(Inner),Output:["_col1","_col2","_col3"]
+ Merge Join Operator [MERGEJOIN_292] (rows=14384447 width=4)
+ Conds:RS_362._col0=RS_328._col0(Inner),Output:["_col1","_col2","_col3"]
<-Map 20 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_332]
+ PARTITION_ONLY_SHUFFLE [RS_328]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_331]
+ Please refer to the previous Select Operator [SEL_327]
<-Map 17 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_366]
+ SHUFFLE [RS_362]
PartitionCols:_col0
- Select Operator [SEL_365] (rows=525327191 width=118)
+ Select Operator [SEL_361] (rows=525327191 width=118)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_364] (rows=525327191 width=118)
+ Filter Operator [FIL_360] (rows=525327191 width=118)
predicate:((ss_addr_sk BETWEEN DynamicValue(RS_22_customer_address_ca_address_sk_min) AND DynamicValue(RS_22_customer_address_ca_address_sk_max) and in_bloom_filter(ss_addr_sk, DynamicValue(RS_22_customer_address_ca_address_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_28_item_i_item_sk_min) AND DynamicValue(RS_28_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_28_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_19_date_dim_d_date_sk_min) AND DynamicValue(RS_19_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_19_date_dim_d_date_sk_bloom_filter))) and ss_addr_sk is not null and ss_sold_date_sk is not null)
TableScan [TS_9] (rows=575995635 width=118)
default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_item_sk","ss_addr_sk","ss_ext_sales_price"]
<-Reducer 21 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_345]
- Group By Operator [GBY_344] (rows=1 width=12)
+ BROADCAST [RS_341]
+ Group By Operator [GBY_340] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_341]
- Group By Operator [GBY_338] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_337]
+ Group By Operator [GBY_334] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_333] (rows=50 width=4)
+ Select Operator [SEL_329] (rows=50 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_331]
+ Please refer to the previous Select Operator [SEL_327]
<-Reducer 29 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_361]
- Group By Operator [GBY_360] (rows=1 width=12)
+ BROADCAST [RS_357]
+ Group By Operator [GBY_356] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"]
<-Map 28 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_357]
- Group By Operator [GBY_354] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_353]
+ Group By Operator [GBY_350] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"]
- Select Operator [SEL_349] (rows=8000000 width=4)
+ Select Operator [SEL_345] (rows=8000000 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_347]
+ Please refer to the previous Select Operator [SEL_343]
<-Reducer 8 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_363]
- Group By Operator [GBY_362] (rows=1 width=12)
+ BROADCAST [RS_359]
+ Group By Operator [GBY_358] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Reducer 2 [CUSTOM_SIMPLE_EDGE]
- SHUFFLE [RS_204]
- Group By Operator [GBY_203] (rows=1 width=12)
+ SHUFFLE [RS_198]
+ Group By Operator [GBY_197] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_202] (rows=34340 width=4)
+ Select Operator [SEL_196] (rows=34340 width=4)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_295]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_291]
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/constraints/query95.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query95.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query95.q.out
index c286c74..fd709f9 100644
--- a/ql/src/test/results/clientpositive/perf/tez/constraints/query95.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query95.q.out
@@ -98,37 +98,37 @@ Stage-0
limit:-1
Stage-1
Reducer 9 vectorized
- File Output Operator [FS_265]
- Limit [LIM_264] (rows=1 width=240)
+ File Output Operator [FS_273]
+ Limit [LIM_272] (rows=1 width=240)
Number of rows:100
- Select Operator [SEL_263] (rows=1 width=240)
+ Select Operator [SEL_271] (rows=1 width=240)
Output:["_col0","_col1","_col2"]
<-Reducer 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_262]
- Select Operator [SEL_261] (rows=1 width=240)
+ SHUFFLE [RS_270]
+ Select Operator [SEL_269] (rows=1 width=240)
Output:["_col1","_col2","_col3"]
- Group By Operator [GBY_260] (rows=1 width=232)
+ Group By Operator [GBY_268] (rows=1 width=232)
Output:["_col0","_col1","_col2"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"]
<-Reducer 7 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_259]
- Group By Operator [GBY_258] (rows=1 width=232)
+ PARTITION_ONLY_SHUFFLE [RS_267]
+ Group By Operator [GBY_266] (rows=1 width=232)
Output:["_col0","_col1","_col2"],aggregations:["count(_col0)","sum(_col1)","sum(_col2)"]
- Group By Operator [GBY_257] (rows=143895019 width=228)
+ Group By Operator [GBY_265] (rows=143895019 width=228)
Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0
<-Reducer 6 [SIMPLE_EDGE]
SHUFFLE [RS_101]
PartitionCols:_col0
Group By Operator [GBY_100] (rows=143895019 width=228)
Output:["_col0","_col2","_col3"],aggregations:["sum(_col4)","sum(_col5)"],keys:_col3
- Merge Join Operator [MERGEJOIN_219] (rows=83469759007 width=227)
+ Merge Join Operator [MERGEJOIN_227] (rows=83469759007 width=227)
Conds:RS_47._col3=RS_48._col0(Inner),Output:["_col3","_col4","_col5"]
<-Reducer 19 [ONE_TO_ONE_EDGE]
FORWARD [RS_48]
PartitionCols:_col0
Select Operator [SEL_34] (rows=1384229738 width=4)
Output:["_col0"]
- Merge Join Operator [MERGEJOIN_213] (rows=1384229738 width=4)
- Conds:RS_31._col0=RS_256.wr_order_number(Inner),Output:["_col14"]
+ Merge Join Operator [MERGEJOIN_221] (rows=1384229738 width=4)
+ Conds:RS_31._col0=RS_264.wr_order_number(Inner),Output:["_col14"]
<-Reducer 18 [ONE_TO_ONE_EDGE]
FORWARD [RS_31]
PartitionCols:_col0
@@ -136,129 +136,129 @@ Stage-0
Output:["_col0"]
Filter Operator [FIL_28] (rows=1411940834 width=11)
predicate:(_col0 <> _col2)
- Merge Join Operator [MERGEJOIN_212] (rows=1411940834 width=11)
- Conds:RS_252._col1=RS_255._col1(Inner),Output:["_col0","_col1","_col2"]
+ Merge Join Operator [MERGEJOIN_220] (rows=1411940834 width=11)
+ Conds:RS_260._col1=RS_263._col1(Inner),Output:["_col0","_col1","_col2"]
<-Map 17 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_252]
+ SHUFFLE [RS_260]
PartitionCols:_col1
- Select Operator [SEL_251] (rows=144002668 width=7)
+ Select Operator [SEL_259] (rows=144002668 width=7)
Output:["_col0","_col1"]
- Filter Operator [FIL_250] (rows=144002668 width=7)
+ Filter Operator [FIL_258] (rows=144002668 width=7)
predicate:(in_bloom_filter(ws_order_number, DynamicValue(RS_44_ws1_ws_order_number_bloom_filter)) and ws_order_number BETWEEN DynamicValue(RS_44_ws1_ws_order_number_min) AND DynamicValue(RS_44_ws1_ws_order_number_max))
TableScan [TS_21] (rows=144002668 width=7)
default@web_sales,ws1,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_warehouse_sk","ws_order_number"]
<-Reducer 10 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_248]
- Group By Operator [GBY_247] (rows=1 width=12)
+ BROADCAST [RS_256]
+ Group By Operator [GBY_255] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Reducer 4 [CUSTOM_SIMPLE_EDGE]
- SHUFFLE [RS_163]
- Group By Operator [GBY_162] (rows=1 width=12)
+ SHUFFLE [RS_179]
+ Group By Operator [GBY_178] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_161] (rows=5022875 width=8)
+ Select Operator [SEL_177] (rows=5022875 width=8)
Output:["_col0"]
- Merge Join Operator [MERGEJOIN_216] (rows=5022875 width=227)
- Conds:RS_41._col2=RS_238._col0(Inner),Output:["_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_224] (rows=5022875 width=227)
+ Conds:RS_41._col2=RS_246._col0(Inner),Output:["_col3","_col4","_col5"]
<-Map 15 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_238]
+ SHUFFLE [RS_246]
PartitionCols:_col0
- Select Operator [SEL_237] (rows=12 width=4)
+ Select Operator [SEL_245] (rows=12 width=4)
Output:["_col0"]
- Filter Operator [FIL_236] (rows=12 width=92)
+ Filter Operator [FIL_244] (rows=12 width=92)
predicate:(web_company_name = 'pri')
TableScan [TS_9] (rows=84 width=92)
default@web_site,web_site,Tbl:COMPLETE,Col:COMPLETE,Output:["web_site_sk","web_company_name"]
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_41]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_215] (rows=15673790 width=231)
- Conds:RS_38._col1=RS_230._col0(Inner),Output:["_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_223] (rows=15673790 width=231)
+ Conds:RS_38._col1=RS_238._col0(Inner),Output:["_col2","_col3","_col4","_col5"]
<-Map 13 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_230]
+ SHUFFLE [RS_238]
PartitionCols:_col0
- Select Operator [SEL_229] (rows=784314 width=4)
+ Select Operator [SEL_237] (rows=784314 width=4)
Output:["_col0"]
- Filter Operator [FIL_228] (rows=784314 width=90)
+ Filter Operator [FIL_236] (rows=784314 width=90)
predicate:(ca_state = 'TX')
TableScan [TS_6] (rows=40000000 width=90)
default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_state"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_38]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_214] (rows=15987241 width=235)
- Conds:RS_246._col0=RS_222._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_222] (rows=15987241 width=235)
+ Conds:RS_254._col0=RS_230._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
<-Map 11 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_222]
+ SHUFFLE [RS_230]
PartitionCols:_col0
- Select Operator [SEL_221] (rows=8116 width=98)
+ Select Operator [SEL_229] (rows=8116 width=98)
Output:["_col0"]
- Filter Operator [FIL_220] (rows=8116 width=98)
+ Filter Operator [FIL_228] (rows=8116 width=98)
predicate:CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'1999-05-01 00:00:00' AND TIMESTAMP'1999-06-30 00:00:00'
TableScan [TS_3] (rows=73049 width=98)
default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_date"]
<-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_246]
+ SHUFFLE [RS_254]
PartitionCols:_col0
- Select Operator [SEL_245] (rows=143895019 width=239)
+ Select Operator [SEL_253] (rows=143895019 width=239)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Filter Operator [FIL_244] (rows=143895019 width=239)
+ Filter Operator [FIL_252] (rows=143895019 width=239)
predicate:((ws_ship_addr_sk BETWEEN DynamicValue(RS_39_customer_address_ca_address_sk_min) AND DynamicValue(RS_39_customer_address_ca_address_sk_max) and in_bloom_filter(ws_ship_addr_sk, DynamicValue(RS_39_customer_address_ca_address_sk_bloom_filter))) and (ws_ship_date_sk BETWEEN DynamicValue(RS_36_date_dim_d_date_sk_min) AND DynamicValue(RS_36_date_dim_d_date_sk_max) and in_bloom_filter(ws_ship_date_sk, DynamicValue(RS_36_date_dim_d_date_sk_bloom_filter))) and (ws_web_site_sk BETWEEN DynamicValue(RS_42_web_site_web_site_sk_min) AND DynamicValue(RS_42_web_site_web_site_sk_max) and in_bloom_filter(ws_web_site_sk, DynamicValue(RS_42_web_site_web_site_sk_bloom_filter))) and ws_ship_addr_sk is not null and ws_ship_date_sk is not null and ws_web_site_sk is not null)
TableScan [TS_0] (rows=144002668 width=239)
default@web_sales,ws1,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_ship_date_sk","ws_ship_addr_sk","ws_web_site_sk","ws_order_number","ws_ext_ship_cost","ws_net_profit"]
<-Reducer 12 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_227]
- Group By Operator [GBY_226] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 11 [CUSTOM_SIMPLE_EDGE] vectorized
- SHUFFLE [RS_225]
- Group By Operator [GBY_224] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_223] (rows=8116 width=4)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_221]
- <-Reducer 14 [BROADCAST_EDGE] vectorized
BROADCAST [RS_235]
Group By Operator [GBY_234] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 13 [CUSTOM_SIMPLE_EDGE] vectorized
+ <-Map 11 [CUSTOM_SIMPLE_EDGE] vectorized
SHUFFLE [RS_233]
Group By Operator [GBY_232] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_231] (rows=784314 width=4)
+ Select Operator [SEL_231] (rows=8116 width=4)
Output:["_col0"]
Please refer to the previous Select Operator [SEL_229]
- <-Reducer 16 [BROADCAST_EDGE] vectorized
+ <-Reducer 14 [BROADCAST_EDGE] vectorized
BROADCAST [RS_243]
Group By Operator [GBY_242] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
- <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized
+ <-Map 13 [CUSTOM_SIMPLE_EDGE] vectorized
SHUFFLE [RS_241]
Group By Operator [GBY_240] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_239] (rows=12 width=4)
+ Select Operator [SEL_239] (rows=784314 width=4)
Output:["_col0"]
Please refer to the previous Select Operator [SEL_237]
+ <-Reducer 16 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_251]
+ Group By Operator [GBY_250] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_249]
+ Group By Operator [GBY_248] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_247] (rows=12 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_245]
<-Map 20 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_255]
+ SHUFFLE [RS_263]
PartitionCols:_col1
- Select Operator [SEL_254] (rows=144002668 width=7)
+ Select Operator [SEL_262] (rows=144002668 width=7)
Output:["_col0","_col1"]
- Filter Operator [FIL_253] (rows=144002668 width=7)
+ Filter Operator [FIL_261] (rows=144002668 width=7)
predicate:(in_bloom_filter(ws_order_number, DynamicValue(RS_44_ws1_ws_order_number_bloom_filter)) and ws_order_number BETWEEN DynamicValue(RS_44_ws1_ws_order_number_min) AND DynamicValue(RS_44_ws1_ws_order_number_max))
TableScan [TS_23] (rows=144002668 width=7)
default@web_sales,ws2,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_warehouse_sk","ws_order_number"]
<-Reducer 10 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_249]
- Please refer to the previous Group By Operator [GBY_247]
+ BROADCAST [RS_257]
+ Please refer to the previous Group By Operator [GBY_255]
<-Map 21 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_256]
+ SHUFFLE [RS_264]
PartitionCols:wr_order_number
TableScan [TS_30] (rows=14398467 width=4)
default@web_returns,web_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["wr_order_number"]
<-Reducer 5 [ONE_TO_ONE_EDGE]
FORWARD [RS_47]
PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_218] (rows=482885639 width=227)
+ Merge Join Operator [MERGEJOIN_226] (rows=482885639 width=227)
Conds:RS_44._col3=RS_45._col0(Inner),Output:["_col3","_col4","_col5"]
<-Reducer 18 [ONE_TO_ONE_EDGE]
FORWARD [RS_45]
@@ -267,5 +267,5 @@ Stage-0
<-Reducer 4 [SIMPLE_EDGE]
SHUFFLE [RS_44]
PartitionCols:_col3
- Please refer to the previous Merge Join Operator [MERGEJOIN_216]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_224]
http://git-wip-us.apache.org/repos/asf/hive/blob/3cbc13e9/ql/src/test/results/clientpositive/perf/tez/query18.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query18.q.out b/ql/src/test/results/clientpositive/perf/tez/query18.q.out
index 1fa1b9e..58fb7a7 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query18.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query18.q.out
@@ -99,16 +99,16 @@ Stage-0
limit:100
Stage-1
Reducer 6 vectorized
- File Output Operator [FS_184]
- Limit [LIM_183] (rows=100 width=1165)
+ File Output Operator [FS_182]
+ Limit [LIM_181] (rows=100 width=1165)
Number of rows:100
- Select Operator [SEL_182] (rows=10969055 width=1165)
+ Select Operator [SEL_180] (rows=10969055 width=1165)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
<-Reducer 5 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_181]
- Select Operator [SEL_180] (rows=10969055 width=1165)
+ SHUFFLE [RS_179]
+ Select Operator [SEL_178] (rows=10969055 width=1165)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
- Group By Operator [GBY_179] (rows=10969055 width=1229)
+ Group By Operator [GBY_177] (rows=10969055 width=1229)
Output:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","sum(VALUE._col2)","count(VALUE._col3)","sum(VALUE._col4)","count(VALUE._col5)","sum(VALUE._col6)","count(VALUE._col7)","sum(VALUE._col8)","count(VALUE._col9)","sum(VALUE._col10)","count(VALUE._col11)","sum(VALUE._col12)","count(VALUE._col13)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4
<-Reducer 4 [SIMPLE_EDGE]
SHUFFLE [RS_43]
@@ -117,42 +117,42 @@ Stage-0
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"],aggregations:["sum(_col4)","count(_col4)","sum(_col5)","count(_col5)","sum(_col6)","count(_col6)","sum(_col7)","count(_col7)","sum(_col8)","count(_col8)","sum(_col9)","count(_col9)","sum(_col10)","count(_col10)"],keys:_col0, _col1, _col2, _col3, 0L
Select Operator [SEL_40] (rows=2193811 width=618)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
- Merge Join Operator [MERGEJOIN_145] (rows=2193811 width=618)
+ Merge Join Operator [MERGEJOIN_143] (rows=2193811 width=618)
Conds:RS_37._col0=RS_38._col3(Inner),Output:["_col4","_col6","_col7","_col8","_col11","_col16","_col17","_col18","_col19","_col20","_col26"]
<-Reducer 3 [SIMPLE_EDGE]
PARTITION_ONLY_SHUFFLE [RS_37]
PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_141] (rows=4959744 width=287)
- Conds:RS_34._col1=RS_154._col0(Inner),Output:["_col0","_col4","_col6","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_139] (rows=4959744 width=287)
+ Conds:RS_34._col1=RS_152._col0(Inner),Output:["_col0","_col4","_col6","_col7","_col8"]
<-Map 9 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_154]
+ SHUFFLE [RS_152]
PartitionCols:_col0
- Select Operator [SEL_153] (rows=1861800 width=4)
+ Select Operator [SEL_151] (rows=1861800 width=4)
Output:["_col0"]
- Filter Operator [FIL_152] (rows=1861800 width=4)
+ Filter Operator [FIL_150] (rows=1861800 width=4)
predicate:cd_demo_sk is not null
TableScan [TS_6] (rows=1861800 width=4)
default@customer_demographics,cd2,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_34]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_140] (rows=4890586 width=290)
- Conds:RS_148._col2=RS_151._col0(Inner),Output:["_col0","_col1","_col4","_col6","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_138] (rows=4890586 width=290)
+ Conds:RS_146._col2=RS_149._col0(Inner),Output:["_col0","_col1","_col4","_col6","_col7","_col8"]
<-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_148]
+ SHUFFLE [RS_146]
PartitionCols:_col2
- Select Operator [SEL_147] (rows=35631408 width=19)
+ Select Operator [SEL_145] (rows=35631408 width=19)
Output:["_col0","_col1","_col2","_col4"]
- Filter Operator [FIL_146] (rows=35631408 width=19)
+ Filter Operator [FIL_144] (rows=35631408 width=19)
predicate:((c_birth_month) IN (9, 5, 12, 4, 1, 10) and c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_customer_sk is not null)
TableScan [TS_0] (rows=80000000 width=19)
default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_current_cdemo_sk","c_current_addr_sk","c_birth_month","c_birth_year"]
<-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_151]
+ SHUFFLE [RS_149]
PartitionCols:_col0
- Select Operator [SEL_150] (rows=5490196 width=285)
+ Select Operator [SEL_148] (rows=5490196 width=285)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_149] (rows=5490196 width=285)
+ Filter Operator [FIL_147] (rows=5490196 width=285)
predicate:((ca_state) IN ('ND', 'WI', 'AL', 'NC', 'OK', 'MS', 'TN') and ca_address_sk is not null)
TableScan [TS_3] (rows=40000000 width=285)
default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_county","ca_state","ca_country"]
@@ -161,85 +161,85 @@ Stage-0
PartitionCols:_col3
Select Operator [SEL_30] (rows=15983481 width=529)
Output:["_col1","_col3","_col6","_col7","_col8","_col9","_col10","_col16"]
- Merge Join Operator [MERGEJOIN_144] (rows=15983481 width=529)
- Conds:RS_27._col3=RS_178._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col8","_col14","_col16"]
+ Merge Join Operator [MERGEJOIN_142] (rows=15983481 width=529)
+ Conds:RS_27._col3=RS_176._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col8","_col14","_col16"]
<-Map 18 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_178]
+ SHUFFLE [RS_176]
PartitionCols:_col0
- Select Operator [SEL_177] (rows=462000 width=104)
+ Select Operator [SEL_175] (rows=462000 width=104)
Output:["_col0","_col1"]
- Filter Operator [FIL_176] (rows=462000 width=104)
+ Filter Operator [FIL_174] (rows=462000 width=104)
predicate:i_item_sk is not null
TableScan [TS_18] (rows=462000 width=104)
default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id"]
<-Reducer 12 [SIMPLE_EDGE]
SHUFFLE [RS_27]
PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_143] (rows=15983481 width=433)
- Conds:RS_24._col2=RS_165._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col14"]
+ Merge Join Operator [MERGEJOIN_141] (rows=15983481 width=433)
+ Conds:RS_24._col2=RS_163._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col14"]
<-Map 16 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_165]
+ PARTITION_ONLY_SHUFFLE [RS_163]
PartitionCols:_col0
- Select Operator [SEL_164] (rows=103433 width=184)
+ Select Operator [SEL_162] (rows=103433 width=184)
Output:["_col0","_col3"]
- Filter Operator [FIL_163] (rows=103433 width=187)
+ Filter Operator [FIL_161] (rows=103433 width=187)
predicate:((cd_education_status = 'College') and (cd_gender = 'M') and cd_demo_sk is not null)
TableScan [TS_15] (rows=1861800 width=187)
default@customer_demographics,cd1,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk","cd_gender","cd_education_status","cd_dep_count"]
<-Reducer 11 [SIMPLE_EDGE]
SHUFFLE [RS_24]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_142] (rows=100578970 width=459)
- Conds:RS_175._col0=RS_157._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_140] (rows=100578970 width=459)
+ Conds:RS_173._col0=RS_155._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
<-Map 14 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_157]
+ PARTITION_ONLY_SHUFFLE [RS_155]
PartitionCols:_col0
- Select Operator [SEL_156] (rows=652 width=8)
+ Select Operator [SEL_154] (rows=652 width=8)
Output:["_col0"]
- Filter Operator [FIL_155] (rows=652 width=8)
+ Filter Operator [FIL_153] (rows=652 width=8)
predicate:((d_year = 2001) and d_date_sk is not null)
TableScan [TS_12] (rows=73049 width=8)
default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year"]
<-Map 10 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_175]
+ SHUFFLE [RS_173]
PartitionCols:_col0
- Select Operator [SEL_174] (rows=283692098 width=466)
+ Select Operator [SEL_172] (rows=283692098 width=466)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
- Filter Operator [FIL_173] (rows=283692098 width=466)
+ Filter Operator [FIL_171] (rows=283692098 width=466)
predicate:((cs_bill_cdemo_sk BETWEEN DynamicValue(RS_25_cd1_cd_demo_sk_min) AND DynamicValue(RS_25_cd1_cd_demo_sk_max) and in_bloom_filter(cs_bill_cdemo_sk, DynamicValue(RS_25_cd1_cd_demo_sk_bloom_filter))) and (cs_bill_customer_sk BETWEEN DynamicValue(RS_37_customer_c_customer_sk_min) AND DynamicValue(RS_37_customer_c_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_37_customer_c_customer_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_22_date_dim_d_date_sk_min) AND DynamicValue(RS_22_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_22_date_dim_d_date_sk_bloom_filter))) and cs_bill_cdemo_sk is not null and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null)
TableScan [TS_9] (rows=287989836 width=466)
default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_bill_cdemo_sk","cs_item_sk","cs_quantity","cs_list_price","cs_sales_price","cs_coupon_amt","cs_net_profit"]
<-Reducer 15 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_162]
- Group By Operator [GBY_161] (rows=1 width=12)
+ BROADCAST [RS_160]
+ Group By Operator [GBY_159] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 14 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_160]
- Group By Operator [GBY_159] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_158]
+ Group By Operator [GBY_157] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_158] (rows=652 width=4)
+ Select Operator [SEL_156] (rows=652 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_156]
+ Please refer to the previous Select Operator [SEL_154]
<-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_170]
- Group By Operator [GBY_169] (rows=1 width=12)
+ BROADCAST [RS_168]
+ Group By Operator [GBY_167] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
<-Map 16 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_168]
- Group By Operator [GBY_167] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_166]
+ Group By Operator [GBY_165] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_166] (rows=103433 width=4)
+ Select Operator [SEL_164] (rows=103433 width=4)
Output:["_col0"]
- Please refer to the previous Select Operator [SEL_164]
+ Please refer to the previous Select Operator [SEL_162]
<-Reducer 7 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_172]
- Group By Operator [GBY_171] (rows=1 width=12)
+ BROADCAST [RS_170]
+ Group By Operator [GBY_169] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=4890586)"]
<-Reducer 3 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_126]
- Group By Operator [GBY_125] (rows=1 width=12)
+ PARTITION_ONLY_SHUFFLE [RS_120]
+ Group By Operator [GBY_119] (rows=1 width=12)
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=4890586)"]
- Select Operator [SEL_124] (rows=4959744 width=4)
+ Select Operator [SEL_118] (rows=4959744 width=4)
Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_141]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_139]