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Posted to commits@hive.apache.org by se...@apache.org on 2018/06/26 04:16:32 UTC
[13/58] [abbrv] [partial] hive git commit: HIVE-12342 : Set default
value of hive.optimize.index.filter to true (Igor Kryvenko via Ashutosh
Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/f2c4f319/ql/src/test/results/clientpositive/perf/tez/query24.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query24.q.out b/ql/src/test/results/clientpositive/perf/tez/query24.q.out
index 68a1504..9fcec42 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query24.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query24.q.out
@@ -1,4 +1,4 @@
-Warning: Shuffle Join MERGEJOIN[154][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 8' is a cross product
+Warning: Shuffle Join MERGEJOIN[286][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 8' is a cross product
PREHOOK: query: explain
with ssales as
(select c_last_name
@@ -100,20 +100,32 @@ POSTHOOK: type: QUERY
Plan optimized by CBO.
Vertex dependency in root stage
-Reducer 10 <- Map 18 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
-Reducer 11 <- Map 16 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE)
-Reducer 12 <- Map 19 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE)
-Reducer 13 <- Map 20 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
+Map 1 <- Reducer 10 (BROADCAST_EDGE), Reducer 18 (BROADCAST_EDGE), Reducer 23 (BROADCAST_EDGE), Reducer 26 (BROADCAST_EDGE), Reducer 27 (BROADCAST_EDGE)
+Map 31 <- Reducer 16 (BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE), Reducer 24 (BROADCAST_EDGE), Reducer 28 (BROADCAST_EDGE), Reducer 29 (BROADCAST_EDGE)
+Reducer 10 <- Map 9 (CUSTOM_SIMPLE_EDGE)
+Reducer 11 <- Map 9 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE)
+Reducer 12 <- Map 25 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE)
+Reducer 13 <- Map 30 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
Reducer 14 <- Reducer 13 (SIMPLE_EDGE)
Reducer 15 <- Reducer 14 (CUSTOM_SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 16 (SIMPLE_EDGE)
+Reducer 16 <- Map 9 (CUSTOM_SIMPLE_EDGE)
+Reducer 18 <- Map 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 19 <- Map 17 (SIMPLE_EDGE), Map 31 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
+Reducer 20 <- Map 22 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE)
+Reducer 21 <- Map 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 23 <- Map 22 (CUSTOM_SIMPLE_EDGE)
+Reducer 24 <- Map 22 (CUSTOM_SIMPLE_EDGE)
+Reducer 26 <- Map 25 (CUSTOM_SIMPLE_EDGE)
+Reducer 27 <- Map 25 (CUSTOM_SIMPLE_EDGE)
+Reducer 28 <- Map 25 (CUSTOM_SIMPLE_EDGE)
+Reducer 29 <- Map 25 (CUSTOM_SIMPLE_EDGE)
Reducer 3 <- Map 17 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Map 18 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Map 19 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
-Reducer 6 <- Map 20 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
+Reducer 4 <- Map 22 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Map 25 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Map 30 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
Reducer 8 <- Reducer 15 (CUSTOM_SIMPLE_EDGE), Reducer 7 (CUSTOM_SIMPLE_EDGE)
-Reducer 9 <- Map 1 (SIMPLE_EDGE), Map 17 (SIMPLE_EDGE)
Stage-0
Fetch Operator
@@ -125,166 +137,281 @@ Stage-0
Output:["_col0","_col1","_col2","_col3"]
Filter Operator [FIL_89] (rows=77303902 width=321)
predicate:(_col3 > _col4)
- Merge Join Operator [MERGEJOIN_154] (rows=231911707 width=321)
+ Merge Join Operator [MERGEJOIN_286] (rows=231911707 width=321)
Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4"]
<-Reducer 15 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_192]
- Select Operator [SEL_191] (rows=1 width=232)
+ PARTITION_ONLY_SHUFFLE [RS_376]
+ Select Operator [SEL_375] (rows=1 width=232)
Output:["_col0"]
- Group By Operator [GBY_190] (rows=1 width=232)
+ Group By Operator [GBY_374] (rows=1 width=232)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"]
<-Reducer 14 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_189]
- Group By Operator [GBY_188] (rows=1 width=232)
+ PARTITION_ONLY_SHUFFLE [RS_373]
+ Group By Operator [GBY_372] (rows=1 width=232)
Output:["_col0","_col1"],aggregations:["sum(_col10)","count(_col10)"]
- Select Operator [SEL_187] (rows=463823414 width=88)
+ Select Operator [SEL_371] (rows=463823414 width=88)
Output:["_col10"]
- Group By Operator [GBY_186] (rows=463823414 width=88)
+ Group By Operator [GBY_370] (rows=463823414 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6, KEY._col7, KEY._col8, KEY._col9
<-Reducer 13 [SIMPLE_EDGE]
SHUFFLE [RS_78]
PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9
Group By Operator [GBY_77] (rows=927646829 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"],aggregations:["sum(_col4)"],keys:_col11, _col12, _col6, _col8, _col15, _col16, _col17, _col18, _col19, _col22
- Merge Join Operator [MERGEJOIN_153] (rows=927646829 width=88)
- Conds:RS_73._col9, _col13=RS_180._col1, upper(_col2)(Inner),Output:["_col4","_col6","_col8","_col11","_col12","_col15","_col16","_col17","_col18","_col19","_col22"]
- <-Map 20 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_180]
+ Merge Join Operator [MERGEJOIN_285] (rows=927646829 width=88)
+ Conds:RS_73._col9, _col13=RS_351._col1, upper(_col2)(Inner),Output:["_col4","_col6","_col8","_col11","_col12","_col15","_col16","_col17","_col18","_col19","_col22"]
+ <-Map 30 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_351]
PartitionCols:_col1, upper(_col2)
- Select Operator [SEL_178] (rows=40000000 width=1014)
+ Select Operator [SEL_349] (rows=40000000 width=1014)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_177] (rows=40000000 width=1014)
+ Filter Operator [FIL_348] (rows=40000000 width=1014)
predicate:(ca_zip is not null and upper(ca_country) is not null)
TableScan [TS_15] (rows=40000000 width=1014)
default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_state","ca_zip","ca_country"]
<-Reducer 12 [SIMPLE_EDGE]
SHUFFLE [RS_73]
PartitionCols:_col9, _col13
- Merge Join Operator [MERGEJOIN_152] (rows=843315281 width=88)
- Conds:RS_70._col0, _col3=RS_176._col0, _col1(Inner),Output:["_col4","_col6","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17","_col18","_col19"]
- <-Map 19 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_176]
+ Merge Join Operator [MERGEJOIN_284] (rows=843315281 width=88)
+ Conds:RS_70._col0, _col3=RS_330._col0, _col1(Inner),Output:["_col4","_col6","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17","_col18","_col19"]
+ <-Map 25 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_330]
PartitionCols:_col0, _col1
- Select Operator [SEL_174] (rows=57591150 width=77)
+ Select Operator [SEL_326] (rows=57591150 width=77)
Output:["_col0","_col1"]
- Filter Operator [FIL_173] (rows=57591150 width=77)
+ Filter Operator [FIL_325] (rows=57591150 width=77)
predicate:(sr_item_sk is not null and sr_ticket_number is not null)
TableScan [TS_12] (rows=57591150 width=77)
default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_item_sk","sr_ticket_number"]
<-Reducer 11 [SIMPLE_EDGE]
SHUFFLE [RS_70]
PartitionCols:_col0, _col3
- Merge Join Operator [MERGEJOIN_151] (rows=766650239 width=88)
- Conds:RS_67._col0=RS_164._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17","_col18","_col19"]
- <-Map 16 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_164]
+ Merge Join Operator [MERGEJOIN_283] (rows=766650239 width=88)
+ Conds:RS_67._col0=RS_293._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col8","_col9","_col11","_col12","_col13","_col15","_col16","_col17","_col18","_col19"]
+ <-Map 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_293]
PartitionCols:_col0
- Select Operator [SEL_162] (rows=462000 width=1436)
+ Select Operator [SEL_290] (rows=462000 width=1436)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Filter Operator [FIL_160] (rows=462000 width=1436)
+ Filter Operator [FIL_288] (rows=462000 width=1436)
predicate: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_current_price","i_size","i_color","i_units","i_manager_id"]
- <-Reducer 10 [SIMPLE_EDGE]
+ <-Reducer 20 [SIMPLE_EDGE]
SHUFFLE [RS_67]
PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_150] (rows=696954748 width=88)
- Conds:RS_64._col1=RS_172._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col8","_col9","_col11","_col12","_col13"]
- <-Map 18 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_172]
+ Merge Join Operator [MERGEJOIN_282] (rows=696954748 width=88)
+ Conds:RS_64._col1=RS_317._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col8","_col9","_col11","_col12","_col13"]
+ <-Map 22 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_317]
PartitionCols:_col0
- Select Operator [SEL_170] (rows=80000000 width=860)
+ Select Operator [SEL_314] (rows=80000000 width=860)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_169] (rows=80000000 width=860)
+ Filter Operator [FIL_313] (rows=80000000 width=860)
predicate:(c_birth_country is not null and c_customer_sk is not null)
TableScan [TS_9] (rows=80000000 width=860)
default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_first_name","c_last_name","c_birth_country"]
- <-Reducer 9 [SIMPLE_EDGE]
+ <-Reducer 19 [SIMPLE_EDGE]
SHUFFLE [RS_64]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_149] (rows=633595212 width=88)
- Conds:RS_158._col2=RS_168._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col8","_col9"]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_158]
- PartitionCols:_col2
- Select Operator [SEL_156] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_155] (rows=575995635 width=88)
- predicate:(ss_customer_sk is not null and ss_item_sk is not null and ss_store_sk is not null and ss_ticket_number is not null)
- TableScan [TS_0] (rows=575995635 width=88)
- default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"]
+ Merge Join Operator [MERGEJOIN_281] (rows=633595212 width=88)
+ Conds:RS_369._col2=RS_305._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col8","_col9"]
<-Map 17 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_168]
+ SHUFFLE [RS_305]
PartitionCols:_col0
- Select Operator [SEL_166] (rows=852 width=1910)
+ Select Operator [SEL_302] (rows=852 width=1910)
Output:["_col0","_col1","_col3","_col4"]
- Filter Operator [FIL_165] (rows=852 width=1910)
+ Filter Operator [FIL_301] (rows=852 width=1910)
predicate:((s_market_id = 7) and s_store_sk is not null and s_zip is not null)
TableScan [TS_6] (rows=1704 width=1910)
default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_name","s_market_id","s_state","s_zip"]
+ <-Map 31 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_369]
+ PartitionCols:_col2
+ Select Operator [SEL_368] (rows=575995635 width=88)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_367] (rows=575995635 width=88)
+ predicate:((ss_customer_sk BETWEEN DynamicValue(RS_65_customer_c_customer_sk_min) AND DynamicValue(RS_65_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_65_customer_c_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_68_item_i_item_sk_min) AND DynamicValue(RS_68_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_68_item_i_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_71_store_returns_sr_item_sk_min) AND DynamicValue(RS_71_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_71_store_returns_sr_item_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_62_store_s_store_sk_min) AND DynamicValue(RS_62_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_62_store_s_store_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_71_store_returns_sr_ticket_number_min) AND DynamicValue(RS_71_stor
e_returns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_71_store_returns_sr_ticket_number_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_store_sk is not null and ss_ticket_number is not null)
+ TableScan [TS_43] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"]
+ <-Reducer 16 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_362]
+ Group By Operator [GBY_361] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 9 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_298]
+ Group By Operator [GBY_296] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_294] (rows=462000 width=1436)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_290]
+ <-Reducer 21 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_358]
+ Group By Operator [GBY_357] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 17 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_310]
+ Group By Operator [GBY_308] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_306] (rows=852 width=1910)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_302]
+ <-Reducer 24 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_360]
+ Group By Operator [GBY_359] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=80000000)"]
+ <-Map 22 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_322]
+ Group By Operator [GBY_320] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=80000000)"]
+ Select Operator [SEL_318] (rows=80000000 width=860)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_314]
+ <-Reducer 28 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_364]
+ Group By Operator [GBY_363] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"]
+ <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_339]
+ Group By Operator [GBY_335] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"]
+ Select Operator [SEL_331] (rows=57591150 width=77)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_326]
+ <-Reducer 29 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_366]
+ Group By Operator [GBY_365] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"]
+ <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_340]
+ Group By Operator [GBY_336] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"]
+ Select Operator [SEL_332] (rows=57591150 width=77)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_326]
<-Reducer 7 [CUSTOM_SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_185]
- Select Operator [SEL_184] (rows=231911707 width=88)
+ PARTITION_ONLY_SHUFFLE [RS_356]
+ Select Operator [SEL_355] (rows=231911707 width=88)
Output:["_col0","_col1","_col2","_col3"]
- Group By Operator [GBY_183] (rows=231911707 width=88)
+ Group By Operator [GBY_354] (rows=231911707 width=88)
Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col9)"],keys:_col1, _col2, _col7
- Select Operator [SEL_182] (rows=463823414 width=88)
+ Select Operator [SEL_353] (rows=463823414 width=88)
Output:["_col1","_col2","_col7","_col9"]
- Group By Operator [GBY_181] (rows=463823414 width=88)
+ Group By Operator [GBY_352] (rows=463823414 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6, KEY._col7, KEY._col8
<-Reducer 6 [SIMPLE_EDGE]
SHUFFLE [RS_35]
PartitionCols:_col0, _col1, _col2
Group By Operator [GBY_34] (rows=927646829 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"],aggregations:["sum(_col4)"],keys:_col17, _col18, _col12, _col22, _col6, _col7, _col9, _col10, _col14
- Merge Join Operator [MERGEJOIN_148] (rows=927646829 width=88)
- Conds:RS_30._col15, _col19=RS_179._col1, upper(_col2)(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col17","_col18","_col22"]
- <-Map 20 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_179]
+ Merge Join Operator [MERGEJOIN_280] (rows=927646829 width=88)
+ Conds:RS_30._col15, _col19=RS_350._col1, upper(_col2)(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col17","_col18","_col22"]
+ <-Map 30 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_350]
PartitionCols:_col1, upper(_col2)
- Please refer to the previous Select Operator [SEL_178]
+ Please refer to the previous Select Operator [SEL_349]
<-Reducer 5 [SIMPLE_EDGE]
SHUFFLE [RS_30]
PartitionCols:_col15, _col19
- Merge Join Operator [MERGEJOIN_147] (rows=843315281 width=88)
- Conds:RS_27._col0, _col3=RS_175._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15","_col17","_col18","_col19"]
- <-Map 19 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_175]
+ Merge Join Operator [MERGEJOIN_279] (rows=843315281 width=88)
+ Conds:RS_27._col0, _col3=RS_327._col0, _col1(Inner),Output:["_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15","_col17","_col18","_col19"]
+ <-Map 25 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_327]
PartitionCols:_col0, _col1
- Please refer to the previous Select Operator [SEL_174]
+ Please refer to the previous Select Operator [SEL_326]
<-Reducer 4 [SIMPLE_EDGE]
SHUFFLE [RS_27]
PartitionCols:_col0, _col3
- Merge Join Operator [MERGEJOIN_146] (rows=766650239 width=88)
- Conds:RS_24._col1=RS_171._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15","_col17","_col18","_col19"]
- <-Map 18 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_171]
+ Merge Join Operator [MERGEJOIN_278] (rows=766650239 width=88)
+ Conds:RS_24._col1=RS_315._col0(Inner),Output:["_col0","_col3","_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15","_col17","_col18","_col19"]
+ <-Map 22 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_315]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_170]
+ Please refer to the previous Select Operator [SEL_314]
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_24]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_145] (rows=696954748 width=88)
- Conds:RS_21._col2=RS_167._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15"]
+ Merge Join Operator [MERGEJOIN_277] (rows=696954748 width=88)
+ Conds:RS_21._col2=RS_303._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col6","_col7","_col9","_col10","_col12","_col14","_col15"]
<-Map 17 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_167]
+ SHUFFLE [RS_303]
PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_166]
+ Please refer to the previous Select Operator [SEL_302]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_21]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_144] (rows=633595212 width=88)
- Conds:RS_157._col0=RS_163._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col9","_col10"]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_157]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_156]
- <-Map 16 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_163]
+ Merge Join Operator [MERGEJOIN_276] (rows=633595212 width=88)
+ Conds:RS_347._col0=RS_291._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col6","_col7","_col9","_col10"]
+ <-Map 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_291]
PartitionCols:_col0
- Select Operator [SEL_161] (rows=231000 width=1436)
+ Select Operator [SEL_289] (rows=231000 width=1436)
Output:["_col0","_col1","_col2","_col4","_col5"]
- Filter Operator [FIL_159] (rows=231000 width=1436)
+ Filter Operator [FIL_287] (rows=231000 width=1436)
predicate:((i_color = 'orchid') and i_item_sk is not null)
Please refer to the previous TableScan [TS_3]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_347]
+ PartitionCols:_col0
+ Select Operator [SEL_346] (rows=575995635 width=88)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_345] (rows=575995635 width=88)
+ predicate:((ss_customer_sk BETWEEN DynamicValue(RS_25_customer_c_customer_sk_min) AND DynamicValue(RS_25_customer_c_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_25_customer_c_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_19_item_i_item_sk_min) AND DynamicValue(RS_19_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_19_item_i_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_28_store_returns_sr_item_sk_min) AND DynamicValue(RS_28_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_28_store_returns_sr_item_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_22_store_s_store_sk_min) AND DynamicValue(RS_22_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_22_store_s_store_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_28_store_returns_sr_ticket_number_min) AND DynamicValue(RS_28_store_re
turns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_28_store_returns_sr_ticket_number_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_store_sk is not null and ss_ticket_number is not null)
+ TableScan [TS_0] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_sales_price"]
+ <-Reducer 10 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_300]
+ Group By Operator [GBY_299] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 9 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_297]
+ Group By Operator [GBY_295] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_292] (rows=231000 width=1436)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_289]
+ <-Reducer 18 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_312]
+ Group By Operator [GBY_311] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 17 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_309]
+ Group By Operator [GBY_307] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_304] (rows=852 width=1910)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_302]
+ <-Reducer 23 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_324]
+ Group By Operator [GBY_323] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=80000000)"]
+ <-Map 22 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_321]
+ Group By Operator [GBY_319] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=80000000)"]
+ Select Operator [SEL_316] (rows=80000000 width=860)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_314]
+ <-Reducer 26 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_342]
+ Group By Operator [GBY_341] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"]
+ <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_337]
+ Group By Operator [GBY_333] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"]
+ Select Operator [SEL_328] (rows=57591150 width=77)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_326]
+ <-Reducer 27 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_344]
+ Group By Operator [GBY_343] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=57591152)"]
+ <-Map 25 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_338]
+ Group By Operator [GBY_334] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=57591152)"]
+ Select Operator [SEL_329] (rows=57591150 width=77)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_326]
http://git-wip-us.apache.org/repos/asf/hive/blob/f2c4f319/ql/src/test/results/clientpositive/perf/tez/query25.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query25.q.out b/ql/src/test/results/clientpositive/perf/tez/query25.q.out
index 9af27f8..a885cf3 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query25.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query25.q.out
@@ -95,135 +95,212 @@ POSTHOOK: type: QUERY
Plan optimized by CBO.
Vertex dependency in root stage
-Reducer 10 <- Reducer 11 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
-Reducer 11 <- Map 13 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Map 1 <- Reducer 19 (BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE)
+Map 16 <- Reducer 12 (BROADCAST_EDGE), Reducer 14 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 19 (BROADCAST_EDGE)
+Reducer 10 <- Map 16 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Reducer 11 <- Reducer 10 (SIMPLE_EDGE), Reducer 13 (SIMPLE_EDGE)
+Reducer 12 <- Map 8 (CUSTOM_SIMPLE_EDGE)
+Reducer 13 <- Map 17 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Reducer 14 <- Reducer 13 (CUSTOM_SIMPLE_EDGE)
+Reducer 15 <- Reducer 13 (CUSTOM_SIMPLE_EDGE)
+Reducer 19 <- Map 18 (CUSTOM_SIMPLE_EDGE)
Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
-Reducer 3 <- Reducer 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Map 14 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Map 15 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 21 <- Map 20 (CUSTOM_SIMPLE_EDGE)
+Reducer 3 <- Reducer 11 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 18 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Map 20 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
-Reducer 9 <- Map 12 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Reducer 9 <- Map 8 (CUSTOM_SIMPLE_EDGE)
Stage-0
Fetch Operator
limit:100
Stage-1
Reducer 7 vectorized
- File Output Operator [FS_130]
- Limit [LIM_129] (rows=100 width=88)
+ File Output Operator [FS_259]
+ Limit [LIM_258] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_128] (rows=421657640 width=88)
+ Select Operator [SEL_257] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
<-Reducer 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_127]
- Group By Operator [GBY_126] (rows=421657640 width=88)
+ SHUFFLE [RS_256]
+ Group By Operator [GBY_255] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3
<-Reducer 5 [SIMPLE_EDGE]
SHUFFLE [RS_49]
PartitionCols:_col0, _col1, _col2, _col3
Group By Operator [GBY_48] (rows=843315281 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col5)","sum(_col20)","sum(_col12)"],keys:_col25, _col26, _col28, _col29
- Merge Join Operator [MERGEJOIN_101] (rows=843315281 width=88)
- Conds:RS_44._col3=RS_125._col0(Inner),Output:["_col5","_col12","_col20","_col25","_col26","_col28","_col29"]
- <-Map 15 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_125]
+ Merge Join Operator [MERGEJOIN_205] (rows=843315281 width=88)
+ Conds:RS_44._col3=RS_234._col0(Inner),Output:["_col5","_col12","_col20","_col25","_col26","_col28","_col29"]
+ <-Map 20 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_234]
PartitionCols:_col0
- Select Operator [SEL_124] (rows=1704 width=1910)
+ Select Operator [SEL_233] (rows=1704 width=1910)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_123] (rows=1704 width=1910)
+ Filter Operator [FIL_232] (rows=1704 width=1910)
predicate:s_store_sk is not null
TableScan [TS_32] (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_44]
PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_100] (rows=766650239 width=88)
- Conds:RS_41._col1=RS_122._col0(Inner),Output:["_col3","_col5","_col12","_col20","_col25","_col26"]
- <-Map 14 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_122]
+ Merge Join Operator [MERGEJOIN_204] (rows=766650239 width=88)
+ Conds:RS_41._col1=RS_225._col0(Inner),Output:["_col3","_col5","_col12","_col20","_col25","_col26"]
+ <-Map 18 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_225]
PartitionCols:_col0
- Select Operator [SEL_121] (rows=462000 width=1436)
+ Select Operator [SEL_224] (rows=462000 width=1436)
Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_120] (rows=462000 width=1436)
+ Filter Operator [FIL_223] (rows=462000 width=1436)
predicate:i_item_sk is not null
TableScan [TS_29] (rows=462000 width=1436)
default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"]
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_41]
PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_99] (rows=696954748 width=88)
+ Merge Join Operator [MERGEJOIN_203] (rows=696954748 width=88)
Conds:RS_38._col1, _col2, _col4=RS_39._col8, _col9, _col10(Inner),Output:["_col1","_col3","_col5","_col12","_col20"]
- <-Reducer 10 [SIMPLE_EDGE]
+ <-Reducer 11 [SIMPLE_EDGE]
SHUFFLE [RS_39]
PartitionCols:_col8, _col9, _col10
- Merge Join Operator [MERGEJOIN_98] (rows=348467716 width=135)
+ Merge Join Operator [MERGEJOIN_202] (rows=348467716 width=135)
Conds:RS_25._col2, _col1=RS_26._col1, _col2(Inner),Output:["_col3","_col8","_col9","_col10","_col11"]
- <-Reducer 11 [SIMPLE_EDGE]
- SHUFFLE [RS_26]
+ <-Reducer 13 [SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_26]
PartitionCols:_col1, _col2
- Merge Join Operator [MERGEJOIN_97] (rows=63350266 width=77)
- Conds:RS_119._col0=RS_113._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
+ Merge Join Operator [MERGEJOIN_201] (rows=63350266 width=77)
+ Conds:RS_247._col0=RS_216._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
<-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_113]
+ PARTITION_ONLY_SHUFFLE [RS_216]
PartitionCols:_col0
- Select Operator [SEL_110] (rows=4058 width=1119)
+ Select Operator [SEL_211] (rows=4058 width=1119)
Output:["_col0"]
- Filter Operator [FIL_107] (rows=4058 width=1119)
+ Filter Operator [FIL_208] (rows=4058 width=1119)
predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10)
TableScan [TS_3] (rows=73049 width=1119)
default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"]
- <-Map 13 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_119]
+ <-Map 17 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_247]
PartitionCols:_col0
- Select Operator [SEL_118] (rows=57591150 width=77)
+ Select Operator [SEL_246] (rows=57591150 width=77)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_117] (rows=57591150 width=77)
+ Filter Operator [FIL_245] (rows=57591150 width=77)
predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null)
TableScan [TS_12] (rows=57591150 width=77)
default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_net_loss"]
- <-Reducer 9 [SIMPLE_EDGE]
+ <-Reducer 10 [SIMPLE_EDGE]
SHUFFLE [RS_25]
PartitionCols:_col2, _col1
- Merge Join Operator [MERGEJOIN_96] (rows=316788826 width=135)
- Conds:RS_116._col0=RS_112._col0(Inner),Output:["_col1","_col2","_col3"]
+ Merge Join Operator [MERGEJOIN_200] (rows=316788826 width=135)
+ Conds:RS_254._col0=RS_214._col0(Inner),Output:["_col1","_col2","_col3"]
<-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_112]
+ PARTITION_ONLY_SHUFFLE [RS_214]
PartitionCols:_col0
- Select Operator [SEL_109] (rows=4058 width=1119)
+ Select Operator [SEL_210] (rows=4058 width=1119)
Output:["_col0"]
- Filter Operator [FIL_106] (rows=4058 width=1119)
+ Filter Operator [FIL_207] (rows=4058 width=1119)
predicate:((d_year = 2000) and d_date_sk is not null and d_moy BETWEEN 4 AND 10)
Please refer to the previous TableScan [TS_3]
- <-Map 12 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_116]
+ <-Map 16 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_254]
PartitionCols:_col0
- Select Operator [SEL_115] (rows=287989836 width=135)
+ Select Operator [SEL_253] (rows=287989836 width=135)
Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_114] (rows=287989836 width=135)
- predicate:(cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null)
+ Filter Operator [FIL_252] (rows=287989836 width=135)
+ predicate:((cs_bill_customer_sk BETWEEN DynamicValue(RS_26_store_returns_sr_customer_sk_min) AND DynamicValue(RS_26_store_returns_sr_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_26_store_returns_sr_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_26_store_returns_sr_item_sk_min) AND DynamicValue(RS_26_store_returns_sr_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_26_store_returns_sr_item_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_23_d3_d_date_sk_min) AND DynamicValue(RS_23_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_23_d3_d_date_sk_bloom_filter))) 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_6] (rows=287989836 width=135)
default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_net_profit"]
+ <-Reducer 19 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_231]
+ Group By Operator [GBY_229] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 18 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_228]
+ Group By Operator [GBY_227] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_226] (rows=462000 width=1436)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_224]
+ <-Reducer 12 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_244]
+ Group By Operator [GBY_243] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_220]
+ Group By Operator [GBY_218] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_215] (rows=4058 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_210]
+ <-Reducer 14 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_249]
+ Group By Operator [GBY_248] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=63350264)"]
+ <-Reducer 13 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_137]
+ Group By Operator [GBY_136] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
+ Select Operator [SEL_135] (rows=63350266 width=77)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_201]
+ <-Reducer 15 [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=63350264)"]
+ <-Reducer 13 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_142]
+ Group By Operator [GBY_141] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
+ Select Operator [SEL_140] (rows=63350266 width=77)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_201]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_38]
PartitionCols:_col1, _col2, _col4
- Merge Join Operator [MERGEJOIN_95] (rows=633595212 width=88)
- Conds:RS_104._col0=RS_111._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
+ Merge Join Operator [MERGEJOIN_199] (rows=633595212 width=88)
+ Conds:RS_242._col0=RS_212._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
<-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_111]
+ PARTITION_ONLY_SHUFFLE [RS_212]
PartitionCols:_col0
- Select Operator [SEL_108] (rows=18262 width=1119)
+ Select Operator [SEL_209] (rows=18262 width=1119)
Output:["_col0"]
- Filter Operator [FIL_105] (rows=18262 width=1119)
+ Filter Operator [FIL_206] (rows=18262 width=1119)
predicate:((d_moy = 4) and (d_year = 2000) and d_date_sk is not null)
Please refer to the previous TableScan [TS_3]
<-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_104]
+ SHUFFLE [RS_242]
PartitionCols:_col0
- Select Operator [SEL_103] (rows=575995635 width=88)
+ Select Operator [SEL_241] (rows=575995635 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- 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 and ss_store_sk is not null and ss_ticket_number is not null)
+ Filter Operator [FIL_240] (rows=575995635 width=88)
+ predicate:((ss_item_sk BETWEEN DynamicValue(RS_42_item_i_item_sk_min) AND DynamicValue(RS_42_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_42_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_36_d1_d_date_sk_min) AND DynamicValue(RS_36_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_36_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN DynamicValue(RS_45_store_s_store_sk_min) AND DynamicValue(RS_45_store_s_store_sk_max) and in_bloom_filter(ss_store_sk, DynamicValue(RS_45_store_s_store_sk_bloom_filter))) and ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number 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_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_net_profit"]
+ <-Reducer 19 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_230]
+ Please refer to the previous Group By Operator [GBY_229]
+ <-Reducer 21 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_239]
+ Group By Operator [GBY_238] (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
+ SHUFFLE [RS_237]
+ Group By Operator [GBY_236] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_235] (rows=1704 width=1910)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_233]
+ <-Reducer 9 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_222]
+ Group By Operator [GBY_221] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_219]
+ Group By Operator [GBY_217] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_213] (rows=18262 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_209]
http://git-wip-us.apache.org/repos/asf/hive/blob/f2c4f319/ql/src/test/results/clientpositive/perf/tez/query26.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query26.q.out b/ql/src/test/results/clientpositive/perf/tez/query26.q.out
index f113113..0c6c0f8 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query26.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query26.q.out
@@ -41,94 +41,143 @@ POSTHOOK: type: QUERY
Plan optimized by CBO.
Vertex dependency in root stage
+Map 1 <- Reducer 11 (BROADCAST_EDGE), Reducer 13 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE)
+Reducer 11 <- Map 10 (CUSTOM_SIMPLE_EDGE)
+Reducer 13 <- Map 12 (CUSTOM_SIMPLE_EDGE)
+Reducer 15 <- Map 14 (CUSTOM_SIMPLE_EDGE)
Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
-Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Map 10 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Map 11 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 3 <- Map 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 12 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Map 14 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 9 <- Map 8 (CUSTOM_SIMPLE_EDGE)
Stage-0
Fetch Operator
limit:100
Stage-1
Reducer 7 vectorized
- File Output Operator [FS_79]
- Limit [LIM_78] (rows=100 width=135)
+ File Output Operator [FS_139]
+ Limit [LIM_138] (rows=100 width=135)
Number of rows:100
- Select Operator [SEL_77] (rows=210822976 width=135)
+ Select Operator [SEL_137] (rows=210822976 width=135)
Output:["_col0","_col1","_col2","_col3","_col4"]
<-Reducer 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_76]
- Select Operator [SEL_75] (rows=210822976 width=135)
+ SHUFFLE [RS_136]
+ Select Operator [SEL_135] (rows=210822976 width=135)
Output:["_col0","_col1","_col2","_col3","_col4"]
- Group By Operator [GBY_74] (rows=210822976 width=135)
+ Group By Operator [GBY_134] (rows=210822976 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],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)"],keys:KEY._col0
<-Reducer 5 [SIMPLE_EDGE]
SHUFFLE [RS_29]
PartitionCols:_col0
Group By Operator [GBY_28] (rows=421645953 width=135)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(_col4)","count(_col4)","sum(_col5)","count(_col5)","sum(_col7)","count(_col7)","sum(_col6)","count(_col6)"],keys:_col18
- Merge Join Operator [MERGEJOIN_58] (rows=421645953 width=135)
- Conds:RS_24._col2=RS_73._col0(Inner),Output:["_col4","_col5","_col6","_col7","_col18"]
- <-Map 11 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_73]
+ Merge Join Operator [MERGEJOIN_98] (rows=421645953 width=135)
+ Conds:RS_24._col2=RS_125._col0(Inner),Output:["_col4","_col5","_col6","_col7","_col18"]
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_125]
PartitionCols:_col0
- Select Operator [SEL_72] (rows=462000 width=1436)
+ Select Operator [SEL_124] (rows=462000 width=1436)
Output:["_col0","_col1"]
- Filter Operator [FIL_71] (rows=462000 width=1436)
+ Filter Operator [FIL_123] (rows=462000 width=1436)
predicate:i_item_sk is not null
TableScan [TS_12] (rows=462000 width=1436)
default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"]
<-Reducer 4 [SIMPLE_EDGE]
SHUFFLE [RS_24]
PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_57] (rows=383314495 width=135)
- Conds:RS_21._col3=RS_70._col0(Inner),Output:["_col2","_col4","_col5","_col6","_col7"]
- <-Map 10 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_70]
+ Merge Join Operator [MERGEJOIN_97] (rows=383314495 width=135)
+ Conds:RS_21._col3=RS_117._col0(Inner),Output:["_col2","_col4","_col5","_col6","_col7"]
+ <-Map 12 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_117]
PartitionCols:_col0
- Select Operator [SEL_69] (rows=2300 width=1179)
+ Select Operator [SEL_116] (rows=2300 width=1179)
Output:["_col0"]
- Filter Operator [FIL_68] (rows=2300 width=1179)
+ Filter Operator [FIL_115] (rows=2300 width=1179)
predicate:(((p_channel_email = 'N') or (p_channel_event = 'N')) and p_promo_sk is not null)
TableScan [TS_9] (rows=2300 width=1179)
default@promotion,promotion,Tbl:COMPLETE,Col:NONE,Output:["p_promo_sk","p_channel_email","p_channel_event"]
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_21]
PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_56] (rows=348467716 width=135)
- Conds:RS_18._col0=RS_67._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6","_col7"]
- <-Map 9 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_67]
+ Merge Join Operator [MERGEJOIN_96] (rows=348467716 width=135)
+ Conds:RS_18._col0=RS_109._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6","_col7"]
+ <-Map 10 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_109]
PartitionCols:_col0
- Select Operator [SEL_66] (rows=36524 width=1119)
+ Select Operator [SEL_108] (rows=36524 width=1119)
Output:["_col0"]
- Filter Operator [FIL_65] (rows=36524 width=1119)
+ Filter Operator [FIL_107] (rows=36524 width=1119)
predicate:((d_year = 1998) and d_date_sk is not null)
TableScan [TS_6] (rows=73049 width=1119)
default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"]
<-Reducer 2 [SIMPLE_EDGE]
SHUFFLE [RS_18]
PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_55] (rows=316788826 width=135)
- Conds:RS_61._col1=RS_64._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7"]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_61]
- PartitionCols:_col1
- Select Operator [SEL_60] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
- Filter Operator [FIL_59] (rows=287989836 width=135)
- predicate:(cs_bill_cdemo_sk is not null and cs_item_sk is not null and cs_promo_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_bill_cdemo_sk","cs_item_sk","cs_promo_sk","cs_quantity","cs_list_price","cs_sales_price","cs_coupon_amt"]
+ Merge Join Operator [MERGEJOIN_95] (rows=316788826 width=135)
+ Conds:RS_133._col1=RS_101._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7"]
<-Map 8 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_64]
+ PARTITION_ONLY_SHUFFLE [RS_101]
PartitionCols:_col0
- Select Operator [SEL_63] (rows=232725 width=385)
+ Select Operator [SEL_100] (rows=232725 width=385)
Output:["_col0"]
- Filter Operator [FIL_62] (rows=232725 width=385)
+ Filter Operator [FIL_99] (rows=232725 width=385)
predicate:((cd_education_status = 'Primary') and (cd_gender = 'F') and (cd_marital_status = 'W') and cd_demo_sk is not null)
TableScan [TS_3] (rows=1861800 width=385)
default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_gender","cd_marital_status","cd_education_status"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_133]
+ PartitionCols:_col1
+ Select Operator [SEL_132] (rows=287989836 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
+ Filter Operator [FIL_131] (rows=287989836 width=135)
+ predicate:((cs_bill_cdemo_sk BETWEEN DynamicValue(RS_16_customer_demographics_cd_demo_sk_min) AND DynamicValue(RS_16_customer_demographics_cd_demo_sk_max) and in_bloom_filter(cs_bill_cdemo_sk, DynamicValue(RS_16_customer_demographics_cd_demo_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_25_item_i_item_sk_min) AND DynamicValue(RS_25_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_25_item_i_item_sk_bloom_filter))) and (cs_promo_sk BETWEEN DynamicValue(RS_22_promotion_p_promo_sk_min) AND DynamicValue(RS_22_promotion_p_promo_sk_max) and in_bloom_filter(cs_promo_sk, DynamicValue(RS_22_promotion_p_promo_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_19_date_dim_d_date_sk_min) AND DynamicValue(RS_19_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_19_date_dim_d_date_sk_bloom_filter))) and cs_bill_cdemo_sk is not null and cs_item_sk is not null and cs_promo_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_bill_cdemo_sk","cs_item_sk","cs_promo_sk","cs_quantity","cs_list_price","cs_sales_price","cs_coupon_amt"]
+ <-Reducer 11 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_114]
+ Group By Operator [GBY_113] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 10 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_112]
+ Group By Operator [GBY_111] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_110] (rows=36524 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_108]
+ <-Reducer 13 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_122]
+ Group By Operator [GBY_121] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 12 [CUSTOM_SIMPLE_EDGE] vectorized
+ 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=1000000)"]
+ Select Operator [SEL_118] (rows=2300 width=1179)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_116]
+ <-Reducer 15 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_130]
+ Group By Operator [GBY_129] (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
+ SHUFFLE [RS_128]
+ Group By Operator [GBY_127] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_126] (rows=462000 width=1436)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_124]
+ <-Reducer 9 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_106]
+ Group By Operator [GBY_105] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 8 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_104]
+ Group By Operator [GBY_103] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_102] (rows=232725 width=385)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_100]