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Posted to commits@hive.apache.org by jc...@apache.org on 2018/07/19 20:59:51 UTC
[13/18] hive git commit: HIVE-17896: TopNKey: Create a standalone
vectorizable TopNKey operator (Teddy Choi,
reviewed by Jesus Camacho Rodriguez)
http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query15.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query15.q.out b/ql/src/test/results/clientpositive/perf/tez/query15.q.out
index b593a2e..3c7ae66 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query15.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query15.q.out
@@ -52,81 +52,83 @@ Stage-0
limit:100
Stage-1
Reducer 5 vectorized
- File Output Operator [FS_98]
- Limit [LIM_97] (rows=100 width=135)
+ File Output Operator [FS_99]
+ Limit [LIM_98] (rows=100 width=135)
Number of rows:100
- Select Operator [SEL_96] (rows=174233858 width=135)
+ Select Operator [SEL_97] (rows=174233858 width=135)
Output:["_col0","_col1"]
<-Reducer 4 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_95]
- Group By Operator [GBY_94] (rows=174233858 width=135)
+ SHUFFLE [RS_96]
+ Group By Operator [GBY_95] (rows=174233858 width=135)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
<-Reducer 3 [SIMPLE_EDGE]
SHUFFLE [RS_25]
PartitionCols:_col0
Group By Operator [GBY_24] (rows=348467716 width=135)
Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col4
- Select Operator [SEL_23] (rows=348467716 width=135)
- Output:["_col4","_col7"]
- Filter Operator [FIL_22] (rows=348467716 width=135)
- predicate:((_col3) IN ('CA', 'WA', 'GA') or (_col7 > 500) or (substr(_col4, 1, 5)) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792'))
- Merge Join Operator [MERGEJOIN_76] (rows=348467716 width=135)
- Conds:RS_19._col0=RS_20._col1(Inner),Output:["_col3","_col4","_col7"]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_19]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_74] (rows=88000001 width=860)
- Conds:RS_79._col1=RS_82._col0(Inner),Output:["_col0","_col3","_col4"]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_79]
- PartitionCols:_col1
- Select Operator [SEL_78] (rows=80000000 width=860)
- Output:["_col0","_col1"]
- Filter Operator [FIL_77] (rows=80000000 width=860)
- predicate:(c_current_addr_sk is not null and c_customer_sk is not null)
- TableScan [TS_0] (rows=80000000 width=860)
- default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"]
- <-Map 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_82]
- PartitionCols:_col0
- Select Operator [SEL_81] (rows=40000000 width=1014)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_80] (rows=40000000 width=1014)
- predicate:ca_address_sk is not null
- TableScan [TS_3] (rows=40000000 width=1014)
- default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state","ca_zip"]
- <-Reducer 8 [SIMPLE_EDGE]
- SHUFFLE [RS_20]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_75] (rows=316788826 width=135)
- Conds:RS_93._col0=RS_85._col0(Inner),Output:["_col1","_col2"]
- <-Map 9 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_85]
- PartitionCols:_col0
- Select Operator [SEL_84] (rows=18262 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_83] (rows=18262 width=1119)
- predicate:((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null)
- TableScan [TS_9] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"]
- <-Map 7 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_93]
- PartitionCols:_col0
- Select Operator [SEL_92] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_91] (rows=287989836 width=135)
- predicate:((cs_sold_date_sk BETWEEN DynamicValue(RS_13_date_dim_d_date_sk_min) AND DynamicValue(RS_13_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_13_date_dim_d_date_sk_bloom_filter))) and cs_bill_customer_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_sales_price"]
- <-Reducer 10 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_90]
- Group By Operator [GBY_89] (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_88]
- Group By Operator [GBY_87] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_86] (rows=18262 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_84]
+ Top N Key Operator [TNK_44] (rows=348467716 width=135)
+ keys:_col4,sort order:+,top n:100
+ Select Operator [SEL_23] (rows=348467716 width=135)
+ Output:["_col4","_col7"]
+ Filter Operator [FIL_22] (rows=348467716 width=135)
+ predicate:((_col3) IN ('CA', 'WA', 'GA') or (_col7 > 500) or (substr(_col4, 1, 5)) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792'))
+ Merge Join Operator [MERGEJOIN_77] (rows=348467716 width=135)
+ Conds:RS_19._col0=RS_20._col1(Inner),Output:["_col3","_col4","_col7"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_19]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_75] (rows=88000001 width=860)
+ Conds:RS_80._col1=RS_83._col0(Inner),Output:["_col0","_col3","_col4"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_80]
+ PartitionCols:_col1
+ Select Operator [SEL_79] (rows=80000000 width=860)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_78] (rows=80000000 width=860)
+ predicate:(c_current_addr_sk is not null and c_customer_sk is not null)
+ TableScan [TS_0] (rows=80000000 width=860)
+ default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"]
+ <-Map 6 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_83]
+ PartitionCols:_col0
+ Select Operator [SEL_82] (rows=40000000 width=1014)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_81] (rows=40000000 width=1014)
+ predicate:ca_address_sk is not null
+ TableScan [TS_3] (rows=40000000 width=1014)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state","ca_zip"]
+ <-Reducer 8 [SIMPLE_EDGE]
+ SHUFFLE [RS_20]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_76] (rows=316788826 width=135)
+ Conds:RS_94._col0=RS_86._col0(Inner),Output:["_col1","_col2"]
+ <-Map 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_86]
+ PartitionCols:_col0
+ Select Operator [SEL_85] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_84] (rows=18262 width=1119)
+ predicate:((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null)
+ TableScan [TS_9] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"]
+ <-Map 7 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_94]
+ PartitionCols:_col0
+ Select Operator [SEL_93] (rows=287989836 width=135)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_92] (rows=287989836 width=135)
+ predicate:((cs_sold_date_sk BETWEEN DynamicValue(RS_13_date_dim_d_date_sk_min) AND DynamicValue(RS_13_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_13_date_dim_d_date_sk_bloom_filter))) and cs_bill_customer_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_sales_price"]
+ <-Reducer 10 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_91]
+ Group By Operator [GBY_90] (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_89]
+ Group By Operator [GBY_88] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_87] (rows=18262 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_85]
http://git-wip-us.apache.org/repos/asf/hive/blob/851c8aba/ql/src/test/results/clientpositive/perf/tez/query17.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query17.q.out b/ql/src/test/results/clientpositive/perf/tez/query17.q.out
index 620d88a..e185775 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query17.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query17.q.out
@@ -112,199 +112,201 @@ Stage-0
limit:100
Stage-1
Reducer 7 vectorized
- File Output Operator [FS_269]
- Limit [LIM_268] (rows=100 width=88)
+ File Output Operator [FS_270]
+ Limit [LIM_269] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_267] (rows=421657640 width=88)
+ Select Operator [SEL_268] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"]
<-Reducer 6 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_266]
- Select Operator [SEL_265] (rows=421657640 width=88)
+ SHUFFLE [RS_267]
+ Select Operator [SEL_266] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
- Group By Operator [GBY_264] (rows=421657640 width=88)
+ Group By Operator [GBY_265] (rows=421657640 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","count(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)","sum(VALUE._col7)","count(VALUE._col8)","sum(VALUE._col9)","sum(VALUE._col10)","sum(VALUE._col11)"],keys:KEY._col0, KEY._col1, KEY._col2
<-Reducer 5 [SIMPLE_EDGE]
SHUFFLE [RS_50]
PartitionCols:_col0, _col1, _col2
Group By Operator [GBY_49] (rows=843315281 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"],aggregations:["count(_col3)","sum(_col3)","sum(_col7)","sum(_col6)","count(_col4)","sum(_col4)","sum(_col9)","sum(_col8)","count(_col5)","sum(_col5)","sum(_col11)","sum(_col10)"],keys:_col0, _col1, _col2
- Select Operator [SEL_47] (rows=843315281 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"]
- Merge Join Operator [MERGEJOIN_212] (rows=843315281 width=88)
- Conds:RS_44._col3=RS_250._col0(Inner),Output:["_col5","_col9","_col10","_col14","_col21","_col25"]
- <-Map 20 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_250]
- PartitionCols:_col0
- Select Operator [SEL_249] (rows=1704 width=1910)
- Output:["_col0","_col1"]
- Filter Operator [FIL_248] (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_state"]
- <-Reducer 4 [SIMPLE_EDGE]
- SHUFFLE [RS_44]
- PartitionCols:_col3
- Merge Join Operator [MERGEJOIN_211] (rows=766650239 width=88)
- Conds:RS_41._col1, _col2, _col4=RS_42._col7, _col8, _col9(Inner),Output:["_col3","_col5","_col9","_col10","_col14","_col21"]
- <-Reducer 11 [SIMPLE_EDGE]
- SHUFFLE [RS_42]
- PartitionCols:_col7, _col8, _col9
- Merge Join Operator [MERGEJOIN_210] (rows=348467716 width=135)
- Conds:RS_28._col2, _col1=RS_29._col1, _col2(Inner),Output:["_col3","_col7","_col8","_col9","_col10"]
- <-Reducer 13 [SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_29]
- PartitionCols:_col1, _col2
- Merge Join Operator [MERGEJOIN_209] (rows=63350266 width=77)
- Conds:RS_241._col0=RS_223._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
- <-Map 8 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_223]
- PartitionCols:_col0
- Select Operator [SEL_218] (rows=36525 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_215] (rows=36525 width=1119)
- predicate:((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null)
- TableScan [TS_3] (rows=73049 width=1119)
- default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_quarter_name"]
- <-Map 19 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_241]
- PartitionCols:_col0
- Select Operator [SEL_240] (rows=57591150 width=77)
- Output:["_col0","_col1","_col2","_col3","_col4"]
- Filter Operator [FIL_239] (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_15] (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_return_quantity"]
- <-Reducer 10 [SIMPLE_EDGE]
- SHUFFLE [RS_28]
- PartitionCols:_col2, _col1
- Merge Join Operator [MERGEJOIN_208] (rows=316788826 width=135)
- Conds:RS_263._col0=RS_221._col0(Inner),Output:["_col1","_col2","_col3"]
- <-Map 8 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_221]
- PartitionCols:_col0
- Select Operator [SEL_217] (rows=36525 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_214] (rows=36525 width=1119)
- predicate:((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null)
- Please refer to the previous TableScan [TS_3]
- <-Map 18 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_263]
- PartitionCols:_col0
- Select Operator [SEL_262] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2","_col3"]
- Filter Operator [FIL_261] (rows=287989836 width=135)
- predicate:((cs_bill_customer_sk BETWEEN DynamicValue(RS_29_store_returns_sr_customer_sk_min) AND DynamicValue(RS_29_store_returns_sr_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_29_store_returns_sr_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_29_store_returns_sr_item_sk_min) AND DynamicValue(RS_29_store_returns_sr_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_29_store_returns_sr_item_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_39_item_i_item_sk_min) AND DynamicValue(RS_39_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_39_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_26_d3_d_date_sk_min) AND DynamicValue(RS_26_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_26_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_9] (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_quantity"]
- <-Reducer 14 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_244]
- 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=63350264)"]
- <-Reducer 13 [CUSTOM_SIMPLE_EDGE]
- PARTITION_ONLY_SHUFFLE [RS_110]
- Group By Operator [GBY_109] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
- Select Operator [SEL_108] (rows=63350266 width=77)
- Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_209]
- <-Reducer 15 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_247]
- Group By Operator [GBY_245] (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_125]
- Group By Operator [GBY_124] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
- Select Operator [SEL_123] (rows=63350266 width=77)
- Output:["_col0"]
- Please refer to the previous Merge Join Operator [MERGEJOIN_209]
- <-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_238]
- Group By Operator [GBY_236] (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
- SHUFFLE [RS_235]
- Group By Operator [GBY_234] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_233] (rows=462000 width=1436)
- Output:["_col0"]
- Select Operator [SEL_231] (rows=462000 width=1436)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_230] (rows=462000 width=1436)
- predicate:i_item_sk is not null
- TableScan [TS_6] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"]
- <-Reducer 12 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_260]
- Group By Operator [GBY_259] (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_227]
- Group By Operator [GBY_225] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_222] (rows=36525 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_217]
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_41]
- PartitionCols:_col1, _col2, _col4
- Merge Join Operator [MERGEJOIN_207] (rows=696954748 width=88)
- Conds:RS_38._col1=RS_232._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col9","_col10"]
- <-Map 16 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_232]
- PartitionCols:_col0
- Please refer to the previous Select Operator [SEL_231]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_38]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_206] (rows=633595212 width=88)
- Conds:RS_258._col0=RS_219._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
- <-Map 8 [SIMPLE_EDGE] vectorized
- PARTITION_ONLY_SHUFFLE [RS_219]
- PartitionCols:_col0
- Select Operator [SEL_216] (rows=36524 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_213] (rows=36524 width=1119)
- predicate:((d_quarter_name = '2000Q1') and d_date_sk is not null)
- Please refer to the previous TableScan [TS_3]
- <-Map 1 [SIMPLE_EDGE] vectorized
- SHUFFLE [RS_258]
- PartitionCols:_col0
- Select Operator [SEL_257] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
- Filter Operator [FIL_256] (rows=575995635 width=88)
- predicate:((ss_customer_sk BETWEEN DynamicValue(RS_29_store_returns_sr_customer_sk_min) AND DynamicValue(RS_29_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_29_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_29_store_returns_sr_item_sk_min) AND DynamicValue(RS_29_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_29_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_39_item_i_item_sk_min) AND DynamicValue(RS_39_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_39_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_quantity"]
- <-Reducer 14 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_243]
- Please refer to the previous Group By Operator [GBY_242]
- <-Reducer 15 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_246]
- Please refer to the previous Group By Operator [GBY_245]
- <-Reducer 17 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_237]
- Please refer to the previous Group By Operator [GBY_236]
- <-Reducer 21 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_255]
- Group By Operator [GBY_254] (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_253]
- Group By Operator [GBY_252] (rows=1 width=12)
- Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
- Select Operator [SEL_251] (rows=1704 width=1910)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_249]
- <-Reducer 9 [BROADCAST_EDGE] vectorized
- BROADCAST [RS_229]
- Group By Operator [GBY_228] (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_226]
- 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_220] (rows=36524 width=1119)
- Output:["_col0"]
- Please refer to the previous Select Operator [SEL_216]
+ Top N Key Operator [TNK_93] (rows=843315281 width=88)
+ keys:_col0, _col1, _col2,sort order:+++,top n:100
+ Select Operator [SEL_47] (rows=843315281 width=88)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"]
+ Merge Join Operator [MERGEJOIN_213] (rows=843315281 width=88)
+ Conds:RS_44._col3=RS_251._col0(Inner),Output:["_col5","_col9","_col10","_col14","_col21","_col25"]
+ <-Map 20 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_251]
+ PartitionCols:_col0
+ Select Operator [SEL_250] (rows=1704 width=1910)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_249] (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_state"]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_44]
+ PartitionCols:_col3
+ Merge Join Operator [MERGEJOIN_212] (rows=766650239 width=88)
+ Conds:RS_41._col1, _col2, _col4=RS_42._col7, _col8, _col9(Inner),Output:["_col3","_col5","_col9","_col10","_col14","_col21"]
+ <-Reducer 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_42]
+ PartitionCols:_col7, _col8, _col9
+ Merge Join Operator [MERGEJOIN_211] (rows=348467716 width=135)
+ Conds:RS_28._col2, _col1=RS_29._col1, _col2(Inner),Output:["_col3","_col7","_col8","_col9","_col10"]
+ <-Reducer 13 [SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_29]
+ PartitionCols:_col1, _col2
+ Merge Join Operator [MERGEJOIN_210] (rows=63350266 width=77)
+ Conds:RS_242._col0=RS_224._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_224]
+ PartitionCols:_col0
+ Select Operator [SEL_219] (rows=36525 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_216] (rows=36525 width=1119)
+ predicate:((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null)
+ TableScan [TS_3] (rows=73049 width=1119)
+ default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_quarter_name"]
+ <-Map 19 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_242]
+ PartitionCols:_col0
+ Select Operator [SEL_241] (rows=57591150 width=77)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_240] (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_15] (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_return_quantity"]
+ <-Reducer 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_28]
+ PartitionCols:_col2, _col1
+ Merge Join Operator [MERGEJOIN_209] (rows=316788826 width=135)
+ Conds:RS_264._col0=RS_222._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_222]
+ PartitionCols:_col0
+ Select Operator [SEL_218] (rows=36525 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_215] (rows=36525 width=1119)
+ predicate:((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null)
+ Please refer to the previous TableScan [TS_3]
+ <-Map 18 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_264]
+ PartitionCols:_col0
+ Select Operator [SEL_263] (rows=287989836 width=135)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_262] (rows=287989836 width=135)
+ predicate:((cs_bill_customer_sk BETWEEN DynamicValue(RS_29_store_returns_sr_customer_sk_min) AND DynamicValue(RS_29_store_returns_sr_customer_sk_max) and in_bloom_filter(cs_bill_customer_sk, DynamicValue(RS_29_store_returns_sr_customer_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_29_store_returns_sr_item_sk_min) AND DynamicValue(RS_29_store_returns_sr_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_29_store_returns_sr_item_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_39_item_i_item_sk_min) AND DynamicValue(RS_39_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_39_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_26_d3_d_date_sk_min) AND DynamicValue(RS_26_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_26_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_9] (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_quantity"]
+ <-Reducer 14 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_245]
+ 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=63350264)"]
+ <-Reducer 13 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_111]
+ Group By Operator [GBY_110] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
+ Select Operator [SEL_109] (rows=63350266 width=77)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_210]
+ <-Reducer 15 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_248]
+ Group By Operator [GBY_246] (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_126]
+ Group By Operator [GBY_125] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=63350264)"]
+ Select Operator [SEL_124] (rows=63350266 width=77)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_210]
+ <-Reducer 17 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_239]
+ Group By Operator [GBY_237] (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
+ SHUFFLE [RS_236]
+ Group By Operator [GBY_235] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_234] (rows=462000 width=1436)
+ Output:["_col0"]
+ Select Operator [SEL_232] (rows=462000 width=1436)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_231] (rows=462000 width=1436)
+ predicate:i_item_sk is not null
+ TableScan [TS_6] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"]
+ <-Reducer 12 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_261]
+ Group By Operator [GBY_260] (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_228]
+ Group By Operator [GBY_226] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_223] (rows=36525 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_218]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_41]
+ PartitionCols:_col1, _col2, _col4
+ Merge Join Operator [MERGEJOIN_208] (rows=696954748 width=88)
+ Conds:RS_38._col1=RS_233._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col9","_col10"]
+ <-Map 16 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_233]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_232]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_38]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_207] (rows=633595212 width=88)
+ Conds:RS_259._col0=RS_220._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_220]
+ PartitionCols:_col0
+ Select Operator [SEL_217] (rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_214] (rows=36524 width=1119)
+ predicate:((d_quarter_name = '2000Q1') and d_date_sk is not null)
+ Please refer to the previous TableScan [TS_3]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_259]
+ PartitionCols:_col0
+ Select Operator [SEL_258] (rows=575995635 width=88)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Filter Operator [FIL_257] (rows=575995635 width=88)
+ predicate:((ss_customer_sk BETWEEN DynamicValue(RS_29_store_returns_sr_customer_sk_min) AND DynamicValue(RS_29_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_29_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_29_store_returns_sr_item_sk_min) AND DynamicValue(RS_29_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_29_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_39_item_i_item_sk_min) AND DynamicValue(RS_39_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_39_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_ma
x) 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_quantity"]
+ <-Reducer 14 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_244]
+ Please refer to the previous Group By Operator [GBY_243]
+ <-Reducer 15 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_247]
+ Please refer to the previous Group By Operator [GBY_246]
+ <-Reducer 17 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_238]
+ Please refer to the previous Group By Operator [GBY_237]
+ <-Reducer 21 [BROADCAST_EDGE] vectorized
+ 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)"]
+ <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_254]
+ Group By Operator [GBY_253] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_252] (rows=1704 width=1910)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_250]
+ <-Reducer 9 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_230]
+ 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 8 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_227]
+ Group By Operator [GBY_225] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_221] (rows=36524 width=1119)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_217]