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Posted to commits@hive.apache.org by px...@apache.org on 2017/05/31 00:01:15 UTC
[08/15] hive git commit: HIVE-16764: Support numeric as same as
decimal (Pengcheng Xiong, reviewed by Ashutosh Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/86b18772/ql/src/test/results/clientpositive/perf/query54.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query54.q.out b/ql/src/test/results/clientpositive/perf/query54.q.out
index e1f5135..3cbcbe3 100644
--- a/ql/src/test/results/clientpositive/perf/query54.q.out
+++ b/ql/src/test/results/clientpositive/perf/query54.q.out
@@ -1,175 +1,396 @@
-PREHOOK: query: explain with my_customers as ( select c_customer_sk , c_current_addr_sk from ( select cs_sold_date_sk sold_date_sk, cs_bill_customer_sk customer_sk, cs_item_sk item_sk from catalog_sales union all select ws_sold_date_sk sold_date_sk, ws_bill_customer_sk customer_sk, ws_item_sk item_sk from web_sales ) cs_or_ws_sales, item, date_dim, customer where sold_date_sk = d_date_sk and item_sk = i_item_sk and i_category = 'Jewelry' and i_class = 'football' and c_customer_sk = cs_or_ws_sales.customer_sk and d_moy = 3 and d_year = 2000 group by c_customer_sk , c_current_addr_sk ) , my_revenue as ( select c_customer_sk, sum(ss_ext_sales_price) as revenue from my_customers, store_sales, customer_address, store, date_dim where c_current_addr_sk = ca_address_sk and ca_county = s_county and ca_state = s_state and ss_sold_date_sk = d_date_sk and c_customer_sk = ss_customer_sk and d_month_seq between (1203) and (1205) group by c_customer_sk ) , segments as (select cast((revenue/50) as
int) as segment from my_revenue ) select segment, count(*) as num_customers, segment*50 as segment_base from segments group by segment order by segment, num_customers limit 100
+Warning: Shuffle Join MERGEJOIN[191][tables = [$hdt$_1, $hdt$_2]] in Stage 'Reducer 3' is a cross product
+Warning: Shuffle Join MERGEJOIN[188][tables = [$hdt$_1, $hdt$_2, $hdt$_3, $hdt$_0, $hdt$_4]] in Stage 'Reducer 12' is a cross product
+Warning: Shuffle Join MERGEJOIN[190][tables = [$hdt$_1, $hdt$_2, $hdt$_3, $hdt$_0, $hdt$_4, $hdt$_5, $hdt$_6]] in Stage 'Reducer 14' is a cross product
+Warning: Shuffle Join MERGEJOIN[192][tables = [$hdt$_1, $hdt$_2, $hdt$_0]] in Stage 'Reducer 4' is a cross product
+PREHOOK: query: explain
+with my_customers as (
+ select distinct c_customer_sk
+ , c_current_addr_sk
+ from
+ ( select cs_sold_date_sk sold_date_sk,
+ cs_bill_customer_sk customer_sk,
+ cs_item_sk item_sk
+ from catalog_sales
+ union all
+ select ws_sold_date_sk sold_date_sk,
+ ws_bill_customer_sk customer_sk,
+ ws_item_sk item_sk
+ from web_sales
+ ) cs_or_ws_sales,
+ item,
+ date_dim,
+ customer
+ where sold_date_sk = d_date_sk
+ and item_sk = i_item_sk
+ and i_category = 'Jewelry'
+ and i_class = 'consignment'
+ and c_customer_sk = cs_or_ws_sales.customer_sk
+ and d_moy = 3
+ and d_year = 1999
+ )
+ , my_revenue as (
+ select c_customer_sk,
+ sum(ss_ext_sales_price) as revenue
+ from my_customers,
+ store_sales,
+ customer_address,
+ store,
+ date_dim
+ where c_current_addr_sk = ca_address_sk
+ and ca_county = s_county
+ and ca_state = s_state
+ and ss_sold_date_sk = d_date_sk
+ and c_customer_sk = ss_customer_sk
+ and d_month_seq between (select distinct d_month_seq+1
+ from date_dim where d_year = 1999 and d_moy = 3)
+ and (select distinct d_month_seq+3
+ from date_dim where d_year = 1999 and d_moy = 3)
+ group by c_customer_sk
+ )
+ , segments as
+ (select cast((revenue/50) as int) as segment
+ from my_revenue
+ )
+ select segment, count(*) as num_customers, segment*50 as segment_base
+ from segments
+ group by segment
+ order by segment, num_customers
+ limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain with my_customers as ( select c_customer_sk , c_current_addr_sk from ( select cs_sold_date_sk sold_date_sk, cs_bill_customer_sk customer_sk, cs_item_sk item_sk from catalog_sales union all select ws_sold_date_sk sold_date_sk, ws_bill_customer_sk customer_sk, ws_item_sk item_sk from web_sales ) cs_or_ws_sales, item, date_dim, customer where sold_date_sk = d_date_sk and item_sk = i_item_sk and i_category = 'Jewelry' and i_class = 'football' and c_customer_sk = cs_or_ws_sales.customer_sk and d_moy = 3 and d_year = 2000 group by c_customer_sk , c_current_addr_sk ) , my_revenue as ( select c_customer_sk, sum(ss_ext_sales_price) as revenue from my_customers, store_sales, customer_address, store, date_dim where c_current_addr_sk = ca_address_sk and ca_county = s_county and ca_state = s_state and ss_sold_date_sk = d_date_sk and c_customer_sk = ss_customer_sk and d_month_seq between (1203) and (1205) group by c_customer_sk ) , segments as (select cast((revenue/50) as
int) as segment from my_revenue ) select segment, count(*) as num_customers, segment*50 as segment_base from segments group by segment order by segment, num_customers limit 100
+POSTHOOK: query: explain
+with my_customers as (
+ select distinct c_customer_sk
+ , c_current_addr_sk
+ from
+ ( select cs_sold_date_sk sold_date_sk,
+ cs_bill_customer_sk customer_sk,
+ cs_item_sk item_sk
+ from catalog_sales
+ union all
+ select ws_sold_date_sk sold_date_sk,
+ ws_bill_customer_sk customer_sk,
+ ws_item_sk item_sk
+ from web_sales
+ ) cs_or_ws_sales,
+ item,
+ date_dim,
+ customer
+ where sold_date_sk = d_date_sk
+ and item_sk = i_item_sk
+ and i_category = 'Jewelry'
+ and i_class = 'consignment'
+ and c_customer_sk = cs_or_ws_sales.customer_sk
+ and d_moy = 3
+ and d_year = 1999
+ )
+ , my_revenue as (
+ select c_customer_sk,
+ sum(ss_ext_sales_price) as revenue
+ from my_customers,
+ store_sales,
+ customer_address,
+ store,
+ date_dim
+ where c_current_addr_sk = ca_address_sk
+ and ca_county = s_county
+ and ca_state = s_state
+ and ss_sold_date_sk = d_date_sk
+ and c_customer_sk = ss_customer_sk
+ and d_month_seq between (select distinct d_month_seq+1
+ from date_dim where d_year = 1999 and d_moy = 3)
+ and (select distinct d_month_seq+3
+ from date_dim where d_year = 1999 and d_moy = 3)
+ group by c_customer_sk
+ )
+ , segments as
+ (select cast((revenue/50) as int) as segment
+ from my_revenue
+ )
+ select segment, count(*) as num_customers, segment*50 as segment_base
+ from segments
+ group by segment
+ order by segment, num_customers
+ limit 100
POSTHOOK: type: QUERY
Plan optimized by CBO.
Vertex dependency in root stage
-Map 12 <- Union 13 (CONTAINS)
-Map 18 <- Union 13 (CONTAINS)
-Reducer 10 <- Reducer 17 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
-Reducer 14 <- Map 19 (SIMPLE_EDGE), Union 13 (SIMPLE_EDGE)
-Reducer 15 <- Map 20 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE)
-Reducer 16 <- Map 21 (SIMPLE_EDGE), Reducer 15 (SIMPLE_EDGE)
-Reducer 17 <- Reducer 16 (SIMPLE_EDGE)
-Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
-Reducer 3 <- Reducer 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
-Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Map 21 <- Union 22 (CONTAINS)
+Map 27 <- Union 22 (CONTAINS)
+Reducer 10 <- Map 1 (SIMPLE_EDGE)
+Reducer 11 <- Reducer 10 (CUSTOM_SIMPLE_EDGE)
+Reducer 12 <- Reducer 11 (CUSTOM_SIMPLE_EDGE), Reducer 19 (CUSTOM_SIMPLE_EDGE)
+Reducer 13 <- Map 32 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
+Reducer 14 <- Reducer 13 (CUSTOM_SIMPLE_EDGE), Reducer 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 15 <- Map 1 (SIMPLE_EDGE)
+Reducer 17 <- Map 16 (SIMPLE_EDGE), Map 20 (SIMPLE_EDGE)
+Reducer 18 <- Reducer 17 (SIMPLE_EDGE), Reducer 26 (SIMPLE_EDGE)
+Reducer 19 <- Map 31 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE)
+Reducer 23 <- Map 28 (SIMPLE_EDGE), Union 22 (SIMPLE_EDGE)
+Reducer 24 <- Map 29 (SIMPLE_EDGE), Reducer 23 (SIMPLE_EDGE)
+Reducer 25 <- Map 30 (SIMPLE_EDGE), Reducer 24 (SIMPLE_EDGE)
+Reducer 26 <- Reducer 25 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (CUSTOM_SIMPLE_EDGE), Reducer 9 (CUSTOM_SIMPLE_EDGE)
+Reducer 4 <- Reducer 14 (CUSTOM_SIMPLE_EDGE), Reducer 3 (CUSTOM_SIMPLE_EDGE)
Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
-Reducer 9 <- Map 11 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Map 1 (SIMPLE_EDGE)
+Reducer 9 <- Reducer 8 (CUSTOM_SIMPLE_EDGE)
Stage-0
Fetch Operator
limit:100
Stage-1
- Reducer 6
- File Output Operator [FS_69]
- Limit [LIM_68] (rows=100 width=88)
+ Reducer 7
+ File Output Operator [FS_129]
+ Limit [LIM_128] (rows=100 width=158)
Number of rows:100
- Select Operator [SEL_67] (rows=174238687 width=88)
+ Select Operator [SEL_127] (rows=1614130953450400 width=158)
Output:["_col0","_col1","_col2"]
- <-Reducer 5 [SIMPLE_EDGE]
- SHUFFLE [RS_66]
- Select Operator [SEL_65] (rows=174238687 width=88)
+ <-Reducer 6 [SIMPLE_EDGE]
+ SHUFFLE [RS_126]
+ Select Operator [SEL_125] (rows=1614130953450400 width=158)
Output:["_col0","_col1","_col2"]
- Group By Operator [GBY_64] (rows=174238687 width=88)
+ Group By Operator [GBY_124] (rows=1614130953450400 width=158)
Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
- <-Reducer 4 [SIMPLE_EDGE]
- SHUFFLE [RS_63]
+ <-Reducer 5 [SIMPLE_EDGE]
+ SHUFFLE [RS_123]
PartitionCols:_col0
- Group By Operator [GBY_62] (rows=348477374 width=88)
+ Group By Operator [GBY_122] (rows=3228261906900801 width=158)
Output:["_col0","_col1"],aggregations:["count()"],keys:_col0
- Select Operator [SEL_60] (rows=348477374 width=88)
+ Select Operator [SEL_120] (rows=3228261906900801 width=158)
Output:["_col0"]
- Group By Operator [GBY_59] (rows=348477374 width=88)
+ Group By Operator [GBY_119] (rows=3228261906900801 width=158)
Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
- <-Reducer 3 [SIMPLE_EDGE]
- SHUFFLE [RS_58]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_118]
PartitionCols:_col0
- Group By Operator [GBY_57] (rows=696954748 width=88)
- Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col10
- Merge Join Operator [MERGEJOIN_117] (rows=696954748 width=88)
- Conds:RS_53._col1=RS_54._col5(Inner),Output:["_col2","_col10"]
- <-Reducer 10 [SIMPLE_EDGE]
- SHUFFLE [RS_54]
- PartitionCols:_col5
- Merge Join Operator [MERGEJOIN_116] (rows=316240138 width=135)
- Conds:RS_46._col0=RS_47._col1(Inner),Output:["_col5"]
- <-Reducer 17 [SIMPLE_EDGE]
- SHUFFLE [RS_47]
- PartitionCols:_col1
- Select Operator [SEL_42] (rows=287491029 width=135)
- Output:["_col0","_col1"]
- Group By Operator [GBY_41] (rows=287491029 width=135)
- Output:["_col0","_col1"],keys:KEY._col0, KEY._col1
- <-Reducer 16 [SIMPLE_EDGE]
- SHUFFLE [RS_40]
- PartitionCols:_col0, _col1
- Group By Operator [GBY_39] (rows=574982058 width=135)
- Output:["_col0","_col1"],keys:_col10, _col9
- Merge Join Operator [MERGEJOIN_115] (rows=574982058 width=135)
- Conds:RS_35._col1=RS_36._col0(Inner),Output:["_col9","_col10"]
- <-Map 21 [SIMPLE_EDGE]
- SHUFFLE [RS_36]
+ Group By Operator [GBY_117] (rows=6456523813801603 width=158)
+ Output:["_col0","_col1"],aggregations:["sum(_col4)"],keys:_col0
+ Select Operator [SEL_116] (rows=6456523813801603 width=158)
+ Output:["_col0","_col4"]
+ Filter Operator [FIL_115] (rows=6456523813801603 width=158)
+ predicate:_col11 BETWEEN _col13 AND _col15
+ Select Operator [SEL_114] (rows=58108714324214428 width=158)
+ Output:["_col0","_col4","_col11","_col13","_col15"]
+ Merge Join Operator [MERGEJOIN_192] (rows=58108714324214428 width=158)
+ Conds:(Inner),Output:["_col0","_col2","_col6","_col13","_col15"]
+ <-Reducer 14 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_112]
+ Select Operator [SEL_107] (rows=6363893803988 width=1217)
+ Output:["_col0","_col4","_col11","_col13"]
+ Merge Join Operator [MERGEJOIN_190] (rows=6363893803988 width=1217)
+ Conds:(Left Outer),Output:["_col5","_col9","_col12","_col13"]
+ <-Reducer 13 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_104]
+ Merge Join Operator [MERGEJOIN_189] (rows=696954748 width=97)
+ Conds:RS_101._col7=RS_102._col0(Inner),Output:["_col5","_col9","_col12"]
+ <-Map 32 [SIMPLE_EDGE]
+ SHUFFLE [RS_102]
PartitionCols:_col0
- Select Operator [SEL_28] (rows=80000000 width=860)
+ Select Operator [SEL_80] (rows=73049 width=1119)
Output:["_col0","_col1"]
- Filter Operator [FIL_110] (rows=80000000 width=860)
- predicate:(c_customer_sk is not null and c_current_addr_sk is not null)
- TableScan [TS_26] (rows=80000000 width=860)
- default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"]
- <-Reducer 15 [SIMPLE_EDGE]
- SHUFFLE [RS_35]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_114] (rows=522710951 width=135)
- Conds:RS_32._col2=RS_33._col0(Inner),Output:["_col1"]
- <-Map 20 [SIMPLE_EDGE]
- SHUFFLE [RS_33]
- PartitionCols:_col0
- Select Operator [SEL_25] (rows=115500 width=1436)
- Output:["_col0"]
- Filter Operator [FIL_109] (rows=115500 width=1436)
- predicate:((i_category = 'Jewelry') and (i_class = 'football') and i_item_sk is not null)
- TableScan [TS_23] (rows=462000 width=1436)
- default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_class","i_category"]
- <-Reducer 14 [SIMPLE_EDGE]
- SHUFFLE [RS_32]
- PartitionCols:_col2
- Merge Join Operator [MERGEJOIN_113] (rows=475191764 width=135)
- Conds:Union 13._col0=RS_30._col0(Inner),Output:["_col1","_col2"]
- <-Map 19 [SIMPLE_EDGE]
- SHUFFLE [RS_30]
- PartitionCols:_col0
- Select Operator [SEL_22] (rows=18262 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_108] (rows=18262 width=1119)
- predicate:((d_moy = 3) and (d_year = 2000) and d_date_sk is not null)
- TableScan [TS_20] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"]
- <-Union 13 [SIMPLE_EDGE]
- <-Map 12 [CONTAINS]
- Reduce Output Operator [RS_29]
- PartitionCols:_col0
- Select Operator [SEL_14] (rows=287989836 width=135)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_106] (rows=287989836 width=135)
- predicate:(cs_item_sk is not null and cs_sold_date_sk is not null and cs_bill_customer_sk is not null)
- TableScan [TS_12] (rows=287989836 width=135)
- Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk"]
- <-Map 18 [CONTAINS]
- Reduce Output Operator [RS_29]
+ Filter Operator [FIL_180] (rows=73049 width=1119)
+ predicate:d_date_sk is not null
+ TableScan [TS_78] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_month_seq"]
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_101]
+ PartitionCols:_col7
+ Merge Join Operator [MERGEJOIN_188] (rows=633595212 width=97)
+ Conds:(Inner),Output:["_col5","_col7","_col9"]
+ <-Reducer 11 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_99]
+ Select Operator [SEL_77] (rows=1 width=8)
+ Filter Operator [FIL_76] (rows=1 width=8)
+ predicate:(sq_count_check(_col0) <= 1)
+ Group By Operator [GBY_74] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count(VALUE._col0)"]
+ <-Reducer 10 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_73]
+ Group By Operator [GBY_72] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count()"]
+ Select Operator [SEL_70] (rows=9131 width=1119)
+ Group By Operator [GBY_69] (rows=9131 width=1119)
+ Output:["_col0"],keys:KEY._col0
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_68]
+ PartitionCols:_col0
+ Group By Operator [GBY_67] (rows=18262 width=1119)
+ Output:["_col0"],keys:_col0
+ Select Operator [SEL_65] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_179] (rows=18262 width=1119)
+ predicate:((d_year = 1999) and (d_moy = 3))
+ TableScan [TS_0] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_month_seq","d_year","d_moy"]
+ <-Reducer 19 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_98]
+ Merge Join Operator [MERGEJOIN_187] (rows=633595212 width=88)
+ Conds:RS_95._col5=RS_96._col1(Inner),Output:["_col5","_col7","_col9"]
+ <-Map 31 [SIMPLE_EDGE]
+ SHUFFLE [RS_96]
+ PartitionCols:_col1
+ Select Operator [SEL_62] (rows=575995635 width=88)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_178] (rows=575995635 width=88)
+ predicate:(ss_customer_sk is not null and ss_sold_date_sk is not null)
+ TableScan [TS_60] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk","ss_ext_sales_price"]
+ <-Reducer 18 [SIMPLE_EDGE]
+ SHUFFLE [RS_95]
+ PartitionCols:_col5
+ Merge Join Operator [MERGEJOIN_186] (rows=316240138 width=135)
+ Conds:RS_92._col0=RS_93._col1(Inner),Output:["_col5"]
+ <-Reducer 17 [SIMPLE_EDGE]
+ SHUFFLE [RS_92]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_182] (rows=44000000 width=1014)
+ Conds:RS_89._col1, _col2=RS_90._col0, _col1(Inner),Output:["_col0"]
+ <-Map 16 [SIMPLE_EDGE]
+ SHUFFLE [RS_89]
+ PartitionCols:_col1, _col2
+ Select Operator [SEL_25] (rows=40000000 width=1014)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_171] (rows=40000000 width=1014)
+ predicate:(ca_address_sk is not null and ca_county is not null and ca_state is not null)
+ TableScan [TS_23] (rows=40000000 width=1014)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_county","ca_state"]
+ <-Map 20 [SIMPLE_EDGE]
+ SHUFFLE [RS_90]
+ PartitionCols:_col0, _col1
+ Select Operator [SEL_28] (rows=1704 width=1910)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_172] (rows=1704 width=1910)
+ predicate:(s_county is not null and s_state is not null)
+ TableScan [TS_26] (rows=1704 width=1910)
+ default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_county","s_state"]
+ <-Reducer 26 [SIMPLE_EDGE]
+ SHUFFLE [RS_93]
+ PartitionCols:_col1
+ Select Operator [SEL_59] (rows=287491029 width=135)
+ Output:["_col0","_col1"]
+ Group By Operator [GBY_58] (rows=287491029 width=135)
+ Output:["_col0","_col1"],keys:KEY._col0, KEY._col1
+ <-Reducer 25 [SIMPLE_EDGE]
+ SHUFFLE [RS_57]
+ PartitionCols:_col0, _col1
+ Group By Operator [GBY_56] (rows=574982058 width=135)
+ Output:["_col0","_col1"],keys:_col10, _col9
+ Merge Join Operator [MERGEJOIN_185] (rows=574982058 width=135)
+ Conds:RS_52._col1=RS_53._col0(Inner),Output:["_col9","_col10"]
+ <-Map 30 [SIMPLE_EDGE]
+ SHUFFLE [RS_53]
+ PartitionCols:_col0
+ Select Operator [SEL_45] (rows=80000000 width=860)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_177] (rows=80000000 width=860)
+ predicate:(c_customer_sk is not null and c_current_addr_sk is not null)
+ TableScan [TS_43] (rows=80000000 width=860)
+ default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"]
+ <-Reducer 24 [SIMPLE_EDGE]
+ SHUFFLE [RS_52]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_184] (rows=522710951 width=135)
+ Conds:RS_49._col2=RS_50._col0(Inner),Output:["_col1"]
+ <-Map 29 [SIMPLE_EDGE]
+ SHUFFLE [RS_50]
+ PartitionCols:_col0
+ Select Operator [SEL_42] (rows=115500 width=1436)
+ Output:["_col0"]
+ Filter Operator [FIL_176] (rows=115500 width=1436)
+ predicate:((i_category = 'Jewelry') and (i_class = 'consignment') and i_item_sk is not null)
+ TableScan [TS_40] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_class","i_category"]
+ <-Reducer 23 [SIMPLE_EDGE]
+ SHUFFLE [RS_49]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_183] (rows=475191764 width=135)
+ Conds:Union 22._col0=RS_47._col0(Inner),Output:["_col1","_col2"]
+ <-Map 28 [SIMPLE_EDGE]
+ SHUFFLE [RS_47]
+ PartitionCols:_col0
+ Select Operator [SEL_39] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_175] (rows=18262 width=1119)
+ predicate:((d_moy = 3) and (d_year = 1999) and d_date_sk is not null)
+ TableScan [TS_37] (rows=73049 width=1119)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"]
+ <-Union 22 [SIMPLE_EDGE]
+ <-Map 21 [CONTAINS]
+ Reduce Output Operator [RS_46]
+ PartitionCols:_col0
+ Select Operator [SEL_31] (rows=287989836 width=135)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_173] (rows=287989836 width=135)
+ predicate:(cs_item_sk is not null and cs_sold_date_sk is not null and cs_bill_customer_sk is not null)
+ TableScan [TS_29] (rows=287989836 width=135)
+ Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk"]
+ <-Map 27 [CONTAINS]
+ Reduce Output Operator [RS_46]
+ PartitionCols:_col0
+ Select Operator [SEL_34] (rows=144002668 width=135)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_174] (rows=144002668 width=135)
+ predicate:(ws_item_sk is not null and ws_sold_date_sk is not null and ws_bill_customer_sk is not null)
+ TableScan [TS_32] (rows=144002668 width=135)
+ Output:["ws_sold_date_sk","ws_item_sk","ws_bill_customer_sk"]
+ <-Reducer 15 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_105]
+ Group By Operator [GBY_87] (rows=9131 width=1119)
+ Output:["_col0"],keys:KEY._col0
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_86]
+ PartitionCols:_col0
+ Group By Operator [GBY_85] (rows=18262 width=1119)
+ Output:["_col0"],keys:_col0
+ Select Operator [SEL_83] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_181] (rows=18262 width=1119)
+ predicate:((d_year = 1999) and (d_moy = 3))
+ Please refer to the previous TableScan [TS_0]
+ <-Reducer 3 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_111]
+ Merge Join Operator [MERGEJOIN_191] (rows=9131 width=1128)
+ Conds:(Right Outer),Output:["_col0"]
+ <-Reducer 2 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_108]
+ Group By Operator [GBY_6] (rows=9131 width=1119)
+ Output:["_col0"],keys:KEY._col0
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_5]
+ PartitionCols:_col0
+ Group By Operator [GBY_4] (rows=18262 width=1119)
+ Output:["_col0"],keys:_col0
+ Select Operator [SEL_2] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_169] (rows=18262 width=1119)
+ predicate:((d_year = 1999) and (d_moy = 3))
+ Please refer to the previous TableScan [TS_0]
+ <-Reducer 9 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_109]
+ Select Operator [SEL_22] (rows=1 width=8)
+ Filter Operator [FIL_21] (rows=1 width=8)
+ predicate:(sq_count_check(_col0) <= 1)
+ Group By Operator [GBY_19] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count(VALUE._col0)"]
+ <-Reducer 8 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_18]
+ Group By Operator [GBY_17] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count()"]
+ Select Operator [SEL_15] (rows=9131 width=1119)
+ Group By Operator [GBY_14] (rows=9131 width=1119)
+ Output:["_col0"],keys:KEY._col0
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_13]
PartitionCols:_col0
- Select Operator [SEL_17] (rows=144002668 width=135)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_107] (rows=144002668 width=135)
- predicate:(ws_item_sk is not null and ws_sold_date_sk is not null and ws_bill_customer_sk is not null)
- TableScan [TS_15] (rows=144002668 width=135)
- Output:["ws_sold_date_sk","ws_item_sk","ws_bill_customer_sk"]
- <-Reducer 9 [SIMPLE_EDGE]
- SHUFFLE [RS_46]
- PartitionCols:_col0
- Merge Join Operator [MERGEJOIN_112] (rows=44000000 width=1014)
- Conds:RS_43._col1, _col2=RS_44._col0, _col1(Inner),Output:["_col0"]
- <-Map 11 [SIMPLE_EDGE]
- SHUFFLE [RS_44]
- PartitionCols:_col0, _col1
- Select Operator [SEL_11] (rows=1704 width=1910)
- Output:["_col0","_col1"]
- Filter Operator [FIL_105] (rows=1704 width=1910)
- predicate:(s_county is not null and s_state is not null)
- TableScan [TS_9] (rows=1704 width=1910)
- default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_county","s_state"]
- <-Map 8 [SIMPLE_EDGE]
- SHUFFLE [RS_43]
- PartitionCols:_col1, _col2
- Select Operator [SEL_8] (rows=40000000 width=1014)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_104] (rows=40000000 width=1014)
- predicate:(ca_address_sk is not null and ca_county is not null and ca_state is not null)
- TableScan [TS_6] (rows=40000000 width=1014)
- default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_county","ca_state"]
- <-Reducer 2 [SIMPLE_EDGE]
- SHUFFLE [RS_53]
- PartitionCols:_col1
- Merge Join Operator [MERGEJOIN_111] (rows=633595212 width=88)
- Conds:RS_50._col0=RS_51._col0(Inner),Output:["_col1","_col2"]
- <-Map 1 [SIMPLE_EDGE]
- SHUFFLE [RS_50]
- PartitionCols:_col0
- Select Operator [SEL_2] (rows=575995635 width=88)
- Output:["_col0","_col1","_col2"]
- Filter Operator [FIL_102] (rows=575995635 width=88)
- predicate:(ss_customer_sk is not null and ss_sold_date_sk is not null)
- TableScan [TS_0] (rows=575995635 width=88)
- default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk","ss_ext_sales_price"]
- <-Map 7 [SIMPLE_EDGE]
- SHUFFLE [RS_51]
- PartitionCols:_col0
- Select Operator [SEL_5] (rows=8116 width=1119)
- Output:["_col0"]
- Filter Operator [FIL_103] (rows=8116 width=1119)
- predicate:(d_month_seq BETWEEN 1203 AND 1205 and d_date_sk is not null)
- TableScan [TS_3] (rows=73049 width=1119)
- default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_month_seq"]
+ Group By Operator [GBY_12] (rows=18262 width=1119)
+ Output:["_col0"],keys:_col0
+ Select Operator [SEL_10] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_170] (rows=18262 width=1119)
+ predicate:((d_year = 1999) and (d_moy = 3))
+ Please refer to the previous TableScan [TS_0]
http://git-wip-us.apache.org/repos/asf/hive/blob/86b18772/ql/src/test/results/clientpositive/perf/query55.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query55.q.out b/ql/src/test/results/clientpositive/perf/query55.q.out
index 7948b6d..7125422 100644
--- a/ql/src/test/results/clientpositive/perf/query55.q.out
+++ b/ql/src/test/results/clientpositive/perf/query55.q.out
@@ -1,6 +1,28 @@
-PREHOOK: query: explain select i_brand_id brand_id, i_brand brand, sum(ss_ext_sales_price) ext_price from date_dim, store_sales, item where date_dim.d_date_sk = store_sales.ss_sold_date_sk and store_sales.ss_item_sk = item.i_item_sk and i_manager_id=36 and d_moy=12 and d_year=2001 group by i_brand, i_brand_id order by ext_price desc, i_brand_id limit 100
+PREHOOK: query: explain
+select i_brand_id brand_id, i_brand brand,
+ sum(ss_ext_sales_price) ext_price
+ from date_dim, store_sales, item
+ where d_date_sk = ss_sold_date_sk
+ and ss_item_sk = i_item_sk
+ and i_manager_id=36
+ and d_moy=12
+ and d_year=2001
+ group by i_brand, i_brand_id
+ order by ext_price desc, i_brand_id
+limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain select i_brand_id brand_id, i_brand brand, sum(ss_ext_sales_price) ext_price from date_dim, store_sales, item where date_dim.d_date_sk = store_sales.ss_sold_date_sk and store_sales.ss_item_sk = item.i_item_sk and i_manager_id=36 and d_moy=12 and d_year=2001 group by i_brand, i_brand_id order by ext_price desc, i_brand_id limit 100
+POSTHOOK: query: explain
+select i_brand_id brand_id, i_brand brand,
+ sum(ss_ext_sales_price) ext_price
+ from date_dim, store_sales, item
+ where d_date_sk = ss_sold_date_sk
+ and ss_item_sk = i_item_sk
+ and i_manager_id=36
+ and d_moy=12
+ and d_year=2001
+ group by i_brand, i_brand_id
+ order by ext_price desc, i_brand_id
+limit 100
POSTHOOK: type: QUERY
Plan optimized by CBO.
http://git-wip-us.apache.org/repos/asf/hive/blob/86b18772/ql/src/test/results/clientpositive/perf/query56.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query56.q.out b/ql/src/test/results/clientpositive/perf/query56.q.out
index 9e710e0..4ec7201 100644
--- a/ql/src/test/results/clientpositive/perf/query56.q.out
+++ b/ql/src/test/results/clientpositive/perf/query56.q.out
@@ -1,4 +1,5 @@
-PREHOOK: query: explain with ss as (
+PREHOOK: query: explain
+with ss as (
select i_item_id,sum(ss_ext_sales_price) total_sales
from
store_sales,
@@ -64,7 +65,8 @@ where i_color in ('orchid','chiffon','lace'))
order by total_sales
limit 100
PREHOOK: type: QUERY
-POSTHOOK: query: explain with ss as (
+POSTHOOK: query: explain
+with ss as (
select i_item_id,sum(ss_ext_sales_price) total_sales
from
store_sales,