http://git-wip-us.apache.org/repos/asf/hive/blob/0f7163fa/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 6b35492..080b03a 100644
--- a/ql/src/test/results/clientpositive/perf/tez/query17.q.out
+++ b/ql/src/test/results/clientpositive/perf/tez/query17.q.out
@@ -89,224 +89,225 @@ POSTHOOK: type: QUERY
Plan optimized by CBO.
Vertex dependency in root stage
-Map 1 <- Reducer 14 (BROADCAST_EDGE), Reducer 15 (BROADCAST_EDGE), Reducer 17
(BROADCAST_EDGE), Reducer 21 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE)
-Map 18 <- Reducer 12 (BROADCAST_EDGE), Reducer 14 (BROADCAST_EDGE), Reducer 15
(BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE)
-Reducer 10 <- Map 18 (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 19 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
-Reducer 14 <- Reducer 13 (CUSTOM_SIMPLE_EDGE)
-Reducer 15 <- Reducer 13 (CUSTOM_SIMPLE_EDGE)
-Reducer 17 <- Map 16 (CUSTOM_SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
-Reducer 21 <- Map 20 (CUSTOM_SIMPLE_EDGE)
-Reducer 3 <- Map 16 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Reducer 11 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
-Reducer 5 <- Map 20 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Map 1 <- Reducer 8 (BROADCAST_EDGE)
+Map 13 <- Reducer 12 (BROADCAST_EDGE), Reducer 16 (BROADCAST_EDGE), Reducer 17
(BROADCAST_EDGE), Reducer 18 (BROADCAST_EDGE), Reducer 20 (BROADCAST_EDGE),
Reducer 22 (BROADCAST_EDGE)
+Reducer 10 <- Map 19 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
+Reducer 11 <- Map 7 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE)
+Reducer 12 <- Map 7 (CUSTOM_SIMPLE_EDGE)
+Reducer 14 <- Map 13 (SIMPLE_EDGE), Map 15 (SIMPLE_EDGE)
+Reducer 16 <- Map 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 17 <- Map 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 18 <- Map 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
+Reducer 20 <- Map 19 (CUSTOM_SIMPLE_EDGE)
+Reducer 22 <- Map 21 (CUSTOM_SIMPLE_EDGE)
+Reducer 3 <- Reducer 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 21 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
-Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
-Reducer 9 <- Map 8 (CUSTOM_SIMPLE_EDGE)
+Reducer 8 <- Map 7 (CUSTOM_SIMPLE_EDGE)
+Reducer 9 <- Map 7 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE)
Stage-0
Fetch Operator
limit:100
Stage-1
- Reducer 7 vectorized
+ Reducer 6 vectorized
File Output Operator [FS_270]
Limit [LIM_269] (rows=100 width=88)
Number of rows:100
- Select Operator [SEL_268] (rows=421657640 width=88)
+ Select Operator [SEL_268] (rows=510205767 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"]
- <-Reducer 6 [SIMPLE_EDGE] vectorized
+ <-Reducer 5 [SIMPLE_EDGE] vectorized
SHUFFLE [RS_267]
- Select Operator [SEL_266] (rows=421657640 width=88)
+ Select Operator [SEL_266] (rows=510205767 width=88)
Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
- Group By Operator [GBY_265] (rows=421657640 width=88)
+ Group By Operator [GBY_265] (rows=510205767 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]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_49]
PartitionCols:_col0, _col1, _col2
- Group By Operator [GBY_49] (rows=843315281 width=88)
+ Group By Operator [GBY_48] (rows=1020411534 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
- Top N Key Operator [TNK_93] (rows=843315281 width=88)
+ Top N Key Operator [TNK_95] (rows=1020411534 width=88)
keys:_col0, _col1, _col2,sort order:+++,top n:100
- Select Operator [SEL_47] (rows=843315281 width=88)
+ Select Operator [SEL_46] (rows=1020411534 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]
+ Merge Join Operator [MERGEJOIN_207] (rows=1020411534
width=88)
+
Conds:RS_43._col11=RS_256._col0(Inner),Output:["_col3","_col7","_col15","_col20","_col24","_col25"]
+ <-Map 21 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_256]
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=73049 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_216]
(rows=73049 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=73049 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_215]
(rows=73049 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=73049 width=1119)
- Output:["_col0"]
- Please refer to the
previous Select Operator [SEL_218]
- <-Reducer 3 [SIMPLE_EDGE]
+ Select Operator [SEL_255] (rows=462000
width=1436)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_254] (rows=462000
width=1436)
+ predicate:i_item_sk is not null
+ TableScan [TS_34] (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_43]
+ PartitionCols:_col11
+ Merge Join Operator [MERGEJOIN_206]
(rows=927646829 width=88)
+ Conds:RS_40._col1, _col2=RS_41._col12,
_col11(Inner),Output:["_col3","_col7","_col11","_col15","_col20"]
+ <-Reducer 10 [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:_col12, _col11
+ Select Operator [SEL_33] (rows=843315281
width=88)
+
Output:["_col1","_col5","_col9","_col11","_col12","_col14"]
+ Merge Join Operator [MERGEJOIN_205]
(rows=843315281 width=88)
+
Conds:RS_30._col3=RS_248._col0(Inner),Output:["_col1","_col5","_col7","_col8","_col10","_col16"]
+ <-Map 19 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_248]
+ PartitionCols:_col0
+ Select Operator [SEL_247] (rows=1704
width=1910)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_246] (rows=1704
width=1910)
+ predicate:s_store_sk is not null
+ TableScan [TS_18] (rows=1704
width=1910)
+
default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_state"]
+ <-Reducer 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_30]
+ PartitionCols:_col3
+ Merge Join Operator [MERGEJOIN_204]
(rows=766650239 width=88)
+
Conds:RS_27._col6=RS_214._col0(Inner),Output:["_col1","_col3","_col5","_col7","_col8","_col10"]
+ <-Map 7 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_214]
+ PartitionCols:_col0
+ Select Operator [SEL_210]
(rows=73049 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_208]
(rows=73049 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,d3,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_quarter_name"]
+ <-Reducer 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_27]
+ PartitionCols:_col6
+ Merge Join Operator
[MERGEJOIN_203] (rows=696954748 width=88)
+
Conds:RS_24._col0=RS_215._col0(Inner),Output:["_col1","_col3","_col5","_col6","_col7","_col8","_col10"]
+ <-Map 7 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_215]
+ PartitionCols:_col0
+ Select Operator [SEL_211]
(rows=36524 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_209]
(rows=36524 width=1119)
+ predicate:((d_quarter_name
= '2000Q1') and d_date_sk is not null)
+ Please refer to the
previous TableScan [TS_3]
+ <-Reducer 14 [SIMPLE_EDGE]
+ SHUFFLE [RS_24]
+ PartitionCols:_col0
+ Merge Join Operator
[MERGEJOIN_202] (rows=633595212 width=88)
+ Conds:RS_264._col1, _col2,
_col4=RS_228._col1, _col2,
_col3(Inner),Output:["_col0","_col1","_col3","_col5","_col6","_col7","_col8","_col10"]
+ <-Map 15 [SIMPLE_EDGE]
vectorized
+ PARTITION_ONLY_SHUFFLE
[RS_228]
+ PartitionCols:_col1,
_col2, _col3
+ Select Operator [SEL_227]
(rows=57591150 width=77)
+
Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator
[FIL_226] (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_9]
(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"]
+ <-Map 13 [SIMPLE_EDGE]
vectorized
+ SHUFFLE [RS_264]
+ PartitionCols:_col1,
_col2, _col4
+ Select Operator [SEL_263]
(rows=575995635 width=88)
+
Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Filter Operator
[FIL_262] (rows=575995635 width=88)
+
predicate:((ss_customer_sk BETWEEN
DynamicValue(RS_22_store_returns_sr_customer_sk_min) AND
DynamicValue(RS_22_store_returns_sr_customer_sk_max) and
in_bloom_filter(ss_customer_sk,
DynamicValue(RS_22_store_returns_sr_customer_sk_bloom_filter))) and (ss_item_sk
BETWEEN DynamicValue(RS_22_store_returns_sr_item_sk_min) AND
DynamicValue(RS_22_store_returns_sr_item_sk_max) and
in_bloom_filter(ss_item_sk,
DynamicValue(RS_22_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk
BETWEEN DynamicValue(RS_44_item_i_item_sk_min) AND
DynamicValue(RS_44_item_i_item_sk_max) and in_bloom_filter(ss_item_sk,
DynamicValue(RS_44_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN
DynamicValue(RS_25_d1_d_date_sk_min) AND DynamicValue(RS_25_d1_d_date_sk_max)
and in_bloom_filter(ss_sold_date_sk,
DynamicValue(RS_25_d1_d_date_sk_bloom_filter))) and (ss_store_sk BETWEEN
DynamicValue(RS_31_store_s_store_sk_min) AND DynamicValue(RS_31_store_s_s
tore_sk_max) and in_bloom_filter(ss_store_sk,
DynamicValue(RS_31_store_s_store_sk_bloom_filter))) and (ss_ticket_number
BETWEEN DynamicValue(RS_22_store_returns_sr_ticket_number_min) AND
DynamicValue(RS_22_store_returns_sr_ticket_number_max) and
in_bloom_filter(ss_ticket_number,
DynamicValue(RS_22_store_returns_sr_ticket_number_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_6]
(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 12
[BROADCAST_EDGE] vectorized
+ BROADCAST [RS_245]
+ Group By Operator
[GBY_244] (rows=1 width=12)
+
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2,
expectedEntries=1000000)"]
+ <-Map 7
[CUSTOM_SIMPLE_EDGE] vectorized
+ 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_216] (rows=36524 width=1119)
+
Output:["_col0"]
+ Please
refer to the previous Select Operator [SEL_211]
+ <-Reducer 16
[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=57591152)"]
+ <-Map 15
[CUSTOM_SIMPLE_EDGE] vectorized
+
PARTITION_ONLY_SHUFFLE [RS_235]
+ Group By
Operator [GBY_232] (rows=1 width=12)
+
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0,
expectedEntries=57591152)"]
+ Select
Operator [SEL_229] (rows=57591150 width=77)
+
Output:["_col0"]
+ Please
refer to the previous Select Operator [SEL_227]
+ <-Reducer 17
[BROADCAST_EDGE] vectorized
+ BROADCAST [RS_241]
+ Group By Operator
[GBY_240] (rows=1 width=12)
+
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2,
expectedEntries=57591152)"]
+ <-Map 15
[CUSTOM_SIMPLE_EDGE] vectorized
+
PARTITION_ONLY_SHUFFLE [RS_236]
+ Group By
Operator [GBY_233] (rows=1 width=12)
+
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0,
expectedEntries=57591152)"]
+ Select
Operator [SEL_230] (rows=57591150 width=77)
+
Output:["_col0"]
+ Please
refer to the previous Select Operator [SEL_227]
+ <-Reducer 18
[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=57591152)"]
+ <-Map 15
[CUSTOM_SIMPLE_EDGE] vectorized
+
PARTITION_ONLY_SHUFFLE [RS_237]
+ Group By
Operator [GBY_234] (rows=1 width=12)
+
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0,
expectedEntries=57591152)"]
+ Select
Operator [SEL_231] (rows=57591150 width=77)
+
Output:["_col0"]
+ Please
refer to the previous Select Operator [SEL_227]
+ <-Reducer 20
[BROADCAST_EDGE] vectorized
+ BROADCAST [RS_253]
+ Group By Operator
[GBY_252] (rows=1 width=12)
+
Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2,
expectedEntries=1000000)"]
+ <-Map 19
[CUSTOM_SIMPLE_EDGE] vectorized
+
PARTITION_ONLY_SHUFFLE [RS_251]
+ Group By
Operator [GBY_250] (rows=1 width=12)
+
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0,
expectedEntries=1000000)"]
+ Select
Operator [SEL_249] (rows=1704 width=1910)
+
Output:["_col0"]
+ Please
refer to the previous Select Operator [SEL_247]
+ <-Reducer 22
[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 21
[CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_259]
+ Group By
Operator [GBY_258] (rows=1 width=12)
+
Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0,
expectedEntries=1000000)"]
+ Select
Operator [SEL_257] (rows=462000 width=1436)
+
Output:["_col0"]
+ Please
refer to the previous Select Operator [SEL_255]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_40]
+ PartitionCols:_col1, _col2
+ Merge Join Operator [MERGEJOIN_201]
(rows=316788826 width=135)
+
Conds:RS_225._col0=RS_212._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 7 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_212]
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]
+ Please refer to the previous Select
Operator [SEL_210]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_225]
+ PartitionCols:_col0
+ Select Operator [SEL_224]
(rows=287989836 width=135)
+
Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_223]
(rows=287989836 width=135)
+ predicate:((cs_sold_date_sk BETWEEN
DynamicValue(RS_38_d3_d_date_sk_min) AND DynamicValue(RS_38_d3_d_date_sk_max)
and in_bloom_filter(cs_sold_date_sk,
DynamicValue(RS_38_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_0] (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 8 [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 7 [CUSTOM_SIMPLE_EDGE]
vectorized
+ 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=73049 width=1119)
+ Output:["_col0"]
+ Please refer to the
previous Select Operator [SEL_210]
