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Posted to commits@hive.apache.org by se...@apache.org on 2018/10/26 21:11:31 UTC
[21/75] [abbrv] [partial] hive git commit: HIVE-20718: Add perf cli
driver with constraints (Jesus Camacho Rodriguez,
reviewed by Ashutosh Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query28.q.out
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diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query28.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query28.q.out
new file mode 100644
index 0000000..c7fd970
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query28.q.out
@@ -0,0 +1,296 @@
+Warning: Shuffle Join MERGEJOIN[102][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 4' is a cross product
+Warning: Shuffle Join MERGEJOIN[103][tables = [$hdt$_0, $hdt$_1, $hdt$_2]] in Stage 'Reducer 5' is a cross product
+Warning: Shuffle Join MERGEJOIN[104][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3]] in Stage 'Reducer 6' is a cross product
+Warning: Shuffle Join MERGEJOIN[105][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4]] in Stage 'Reducer 7' is a cross product
+Warning: Shuffle Join MERGEJOIN[106][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5]] in Stage 'Reducer 8' is a cross product
+PREHOOK: query: explain
+select *
+from (select avg(ss_list_price) B1_LP
+ ,count(ss_list_price) B1_CNT
+ ,count(distinct ss_list_price) B1_CNTD
+ from store_sales
+ where ss_quantity between 0 and 5
+ and (ss_list_price between 11 and 11+10
+ or ss_coupon_amt between 460 and 460+1000
+ or ss_wholesale_cost between 14 and 14+20)) B1,
+ (select avg(ss_list_price) B2_LP
+ ,count(ss_list_price) B2_CNT
+ ,count(distinct ss_list_price) B2_CNTD
+ from store_sales
+ where ss_quantity between 6 and 10
+ and (ss_list_price between 91 and 91+10
+ or ss_coupon_amt between 1430 and 1430+1000
+ or ss_wholesale_cost between 32 and 32+20)) B2,
+ (select avg(ss_list_price) B3_LP
+ ,count(ss_list_price) B3_CNT
+ ,count(distinct ss_list_price) B3_CNTD
+ from store_sales
+ where ss_quantity between 11 and 15
+ and (ss_list_price between 66 and 66+10
+ or ss_coupon_amt between 920 and 920+1000
+ or ss_wholesale_cost between 4 and 4+20)) B3,
+ (select avg(ss_list_price) B4_LP
+ ,count(ss_list_price) B4_CNT
+ ,count(distinct ss_list_price) B4_CNTD
+ from store_sales
+ where ss_quantity between 16 and 20
+ and (ss_list_price between 142 and 142+10
+ or ss_coupon_amt between 3054 and 3054+1000
+ or ss_wholesale_cost between 80 and 80+20)) B4,
+ (select avg(ss_list_price) B5_LP
+ ,count(ss_list_price) B5_CNT
+ ,count(distinct ss_list_price) B5_CNTD
+ from store_sales
+ where ss_quantity between 21 and 25
+ and (ss_list_price between 135 and 135+10
+ or ss_coupon_amt between 14180 and 14180+1000
+ or ss_wholesale_cost between 38 and 38+20)) B5,
+ (select avg(ss_list_price) B6_LP
+ ,count(ss_list_price) B6_CNT
+ ,count(distinct ss_list_price) B6_CNTD
+ from store_sales
+ where ss_quantity between 26 and 30
+ and (ss_list_price between 28 and 28+10
+ or ss_coupon_amt between 2513 and 2513+1000
+ or ss_wholesale_cost between 42 and 42+20)) B6
+limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@store_sales
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+select *
+from (select avg(ss_list_price) B1_LP
+ ,count(ss_list_price) B1_CNT
+ ,count(distinct ss_list_price) B1_CNTD
+ from store_sales
+ where ss_quantity between 0 and 5
+ and (ss_list_price between 11 and 11+10
+ or ss_coupon_amt between 460 and 460+1000
+ or ss_wholesale_cost between 14 and 14+20)) B1,
+ (select avg(ss_list_price) B2_LP
+ ,count(ss_list_price) B2_CNT
+ ,count(distinct ss_list_price) B2_CNTD
+ from store_sales
+ where ss_quantity between 6 and 10
+ and (ss_list_price between 91 and 91+10
+ or ss_coupon_amt between 1430 and 1430+1000
+ or ss_wholesale_cost between 32 and 32+20)) B2,
+ (select avg(ss_list_price) B3_LP
+ ,count(ss_list_price) B3_CNT
+ ,count(distinct ss_list_price) B3_CNTD
+ from store_sales
+ where ss_quantity between 11 and 15
+ and (ss_list_price between 66 and 66+10
+ or ss_coupon_amt between 920 and 920+1000
+ or ss_wholesale_cost between 4 and 4+20)) B3,
+ (select avg(ss_list_price) B4_LP
+ ,count(ss_list_price) B4_CNT
+ ,count(distinct ss_list_price) B4_CNTD
+ from store_sales
+ where ss_quantity between 16 and 20
+ and (ss_list_price between 142 and 142+10
+ or ss_coupon_amt between 3054 and 3054+1000
+ or ss_wholesale_cost between 80 and 80+20)) B4,
+ (select avg(ss_list_price) B5_LP
+ ,count(ss_list_price) B5_CNT
+ ,count(distinct ss_list_price) B5_CNTD
+ from store_sales
+ where ss_quantity between 21 and 25
+ and (ss_list_price between 135 and 135+10
+ or ss_coupon_amt between 14180 and 14180+1000
+ or ss_wholesale_cost between 38 and 38+20)) B5,
+ (select avg(ss_list_price) B6_LP
+ ,count(ss_list_price) B6_CNT
+ ,count(distinct ss_list_price) B6_CNTD
+ from store_sales
+ where ss_quantity between 26 and 30
+ and (ss_list_price between 28 and 28+10
+ or ss_coupon_amt between 2513 and 2513+1000
+ or ss_wholesale_cost between 42 and 42+20)) B6
+limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@store_sales
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 10 <- Reducer 9 (CUSTOM_SIMPLE_EDGE)
+Reducer 11 <- Map 1 (SIMPLE_EDGE)
+Reducer 12 <- Reducer 11 (CUSTOM_SIMPLE_EDGE)
+Reducer 13 <- Map 1 (SIMPLE_EDGE)
+Reducer 14 <- Reducer 13 (CUSTOM_SIMPLE_EDGE)
+Reducer 15 <- Map 1 (SIMPLE_EDGE)
+Reducer 16 <- Reducer 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 17 <- Map 1 (SIMPLE_EDGE)
+Reducer 18 <- Reducer 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (CUSTOM_SIMPLE_EDGE)
+Reducer 4 <- Reducer 10 (CUSTOM_SIMPLE_EDGE), Reducer 3 (CUSTOM_SIMPLE_EDGE)
+Reducer 5 <- Reducer 12 (CUSTOM_SIMPLE_EDGE), Reducer 4 (CUSTOM_SIMPLE_EDGE)
+Reducer 6 <- Reducer 14 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE)
+Reducer 7 <- Reducer 16 (CUSTOM_SIMPLE_EDGE), Reducer 6 (CUSTOM_SIMPLE_EDGE)
+Reducer 8 <- Reducer 18 (CUSTOM_SIMPLE_EDGE), Reducer 7 (CUSTOM_SIMPLE_EDGE)
+Reducer 9 <- Map 1 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 8
+ File Output Operator [FS_59]
+ Limit [LIM_58] (rows=1 width=768)
+ Number of rows:100
+ Select Operator [SEL_57] (rows=1 width=768)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17"]
+ Merge Join Operator [MERGEJOIN_106] (rows=1 width=768)
+ Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17"]
+ <-Reducer 18 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_166]
+ Select Operator [SEL_165] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_164] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"]
+ <-Reducer 17 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_163]
+ Group By Operator [GBY_162] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col1)","count(_col2)","count(_col0)"]
+ Group By Operator [GBY_161] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_130]
+ PartitionCols:_col0
+ Group By Operator [GBY_124] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(ss_list_price)","count(ss_list_price)"],keys:ss_list_price
+ Select Operator [SEL_118] (rows=15237978 width=324)
+ Output:["ss_list_price"]
+ Filter Operator [FIL_112] (rows=15237978 width=324)
+ predicate:((ss_list_price BETWEEN 91 AND 101 or ss_coupon_amt BETWEEN 1430 AND 2430 or ss_wholesale_cost BETWEEN 32 AND 52) and ss_quantity BETWEEN 6 AND 10)
+ TableScan [TS_0] (rows=575995635 width=324)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_quantity","ss_wholesale_cost","ss_list_price","ss_coupon_amt"]
+ <-Reducer 7 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_54]
+ Merge Join Operator [MERGEJOIN_105] (rows=1 width=640)
+ Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"]
+ <-Reducer 16 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_160]
+ Select Operator [SEL_159] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_158] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"]
+ <-Reducer 15 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_157]
+ Group By Operator [GBY_156] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col1)","count(_col2)","count(_col0)"]
+ Group By Operator [GBY_155] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_129]
+ PartitionCols:_col0
+ Group By Operator [GBY_123] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(ss_list_price)","count(ss_list_price)"],keys:ss_list_price
+ Select Operator [SEL_117] (rows=15237978 width=324)
+ Output:["ss_list_price"]
+ Filter Operator [FIL_111] (rows=15237978 width=324)
+ predicate:((ss_list_price BETWEEN 66 AND 76 or ss_coupon_amt BETWEEN 920 AND 1920 or ss_wholesale_cost BETWEEN 4 AND 24) and ss_quantity BETWEEN 11 AND 15)
+ Please refer to the previous TableScan [TS_0]
+ <-Reducer 6 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_51]
+ Merge Join Operator [MERGEJOIN_104] (rows=1 width=512)
+ Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"]
+ <-Reducer 14 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_154]
+ Select Operator [SEL_153] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_152] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"]
+ <-Reducer 13 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_151]
+ Group By Operator [GBY_150] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col1)","count(_col2)","count(_col0)"]
+ Group By Operator [GBY_149] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_128]
+ PartitionCols:_col0
+ Group By Operator [GBY_122] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(ss_list_price)","count(ss_list_price)"],keys:ss_list_price
+ Select Operator [SEL_116] (rows=15237978 width=324)
+ Output:["ss_list_price"]
+ Filter Operator [FIL_110] (rows=15237978 width=324)
+ predicate:((ss_list_price BETWEEN 142 AND 152 or ss_coupon_amt BETWEEN 3054 AND 4054 or ss_wholesale_cost BETWEEN 80 AND 100) and ss_quantity BETWEEN 16 AND 20)
+ Please refer to the previous TableScan [TS_0]
+ <-Reducer 5 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_48]
+ Merge Join Operator [MERGEJOIN_103] (rows=1 width=384)
+ Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ <-Reducer 12 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_148]
+ Select Operator [SEL_147] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_146] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"]
+ <-Reducer 11 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_145]
+ Group By Operator [GBY_144] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col1)","count(_col2)","count(_col0)"]
+ Group By Operator [GBY_143] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_127]
+ PartitionCols:_col0
+ Group By Operator [GBY_121] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(ss_list_price)","count(ss_list_price)"],keys:ss_list_price
+ Select Operator [SEL_115] (rows=15237978 width=324)
+ Output:["ss_list_price"]
+ Filter Operator [FIL_109] (rows=15237978 width=324)
+ predicate:((ss_list_price BETWEEN 135 AND 145 or ss_coupon_amt BETWEEN 14180 AND 15180 or ss_wholesale_cost BETWEEN 38 AND 58) and ss_quantity BETWEEN 21 AND 25)
+ Please refer to the previous TableScan [TS_0]
+ <-Reducer 4 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_45]
+ Merge Join Operator [MERGEJOIN_102] (rows=1 width=256)
+ Conds:(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ <-Reducer 10 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_142]
+ Select Operator [SEL_141] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_140] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"]
+ <-Reducer 9 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_139]
+ Group By Operator [GBY_138] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col1)","count(_col2)","count(_col0)"]
+ Group By Operator [GBY_137] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_126]
+ PartitionCols:_col0
+ Group By Operator [GBY_120] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(ss_list_price)","count(ss_list_price)"],keys:ss_list_price
+ Select Operator [SEL_114] (rows=15237978 width=324)
+ Output:["ss_list_price"]
+ Filter Operator [FIL_108] (rows=15237978 width=324)
+ predicate:((ss_list_price BETWEEN 28 AND 38 or ss_coupon_amt BETWEEN 2513 AND 3513 or ss_wholesale_cost BETWEEN 42 AND 62) and ss_quantity BETWEEN 26 AND 30)
+ Please refer to the previous TableScan [TS_0]
+ <-Reducer 3 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_136]
+ Select Operator [SEL_135] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_134] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"]
+ <-Reducer 2 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_133]
+ Group By Operator [GBY_132] (rows=1 width=128)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col1)","count(_col2)","count(_col0)"]
+ Group By Operator [GBY_131] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_125]
+ PartitionCols:_col0
+ Group By Operator [GBY_119] (rows=7618989 width=226)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(ss_list_price)","count(ss_list_price)"],keys:ss_list_price
+ Select Operator [SEL_113] (rows=15237978 width=324)
+ Output:["ss_list_price"]
+ Filter Operator [FIL_107] (rows=15237978 width=324)
+ predicate:((ss_list_price BETWEEN 11 AND 21 or ss_coupon_amt BETWEEN 460 AND 1460 or ss_wholesale_cost BETWEEN 14 AND 34) and ss_quantity BETWEEN 0 AND 5)
+ Please refer to the previous TableScan [TS_0]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query29.q.out
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diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query29.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query29.q.out
new file mode 100644
index 0000000..715f1ce
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query29.q.out
@@ -0,0 +1,328 @@
+PREHOOK: query: explain
+select
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ ,sum(ss_quantity) as store_sales_quantity
+ ,sum(sr_return_quantity) as store_returns_quantity
+ ,sum(cs_quantity) as catalog_sales_quantity
+ from
+ store_sales
+ ,store_returns
+ ,catalog_sales
+ ,date_dim d1
+ ,date_dim d2
+ ,date_dim d3
+ ,store
+ ,item
+ where
+ d1.d_moy = 4
+ and d1.d_year = 1999
+ and d1.d_date_sk = ss_sold_date_sk
+ and i_item_sk = ss_item_sk
+ and s_store_sk = ss_store_sk
+ and ss_customer_sk = sr_customer_sk
+ and ss_item_sk = sr_item_sk
+ and ss_ticket_number = sr_ticket_number
+ and sr_returned_date_sk = d2.d_date_sk
+ and d2.d_moy between 4 and 4 + 3
+ and d2.d_year = 1999
+ and sr_customer_sk = cs_bill_customer_sk
+ and sr_item_sk = cs_item_sk
+ and cs_sold_date_sk = d3.d_date_sk
+ and d3.d_year in (1999,1999+1,1999+2)
+ group by
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ order by
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@catalog_sales
+PREHOOK: Input: default@date_dim
+PREHOOK: Input: default@item
+PREHOOK: Input: default@store
+PREHOOK: Input: default@store_returns
+PREHOOK: Input: default@store_sales
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+select
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ ,sum(ss_quantity) as store_sales_quantity
+ ,sum(sr_return_quantity) as store_returns_quantity
+ ,sum(cs_quantity) as catalog_sales_quantity
+ from
+ store_sales
+ ,store_returns
+ ,catalog_sales
+ ,date_dim d1
+ ,date_dim d2
+ ,date_dim d3
+ ,store
+ ,item
+ where
+ d1.d_moy = 4
+ and d1.d_year = 1999
+ and d1.d_date_sk = ss_sold_date_sk
+ and i_item_sk = ss_item_sk
+ and s_store_sk = ss_store_sk
+ and ss_customer_sk = sr_customer_sk
+ and ss_item_sk = sr_item_sk
+ and ss_ticket_number = sr_ticket_number
+ and sr_returned_date_sk = d2.d_date_sk
+ and d2.d_moy between 4 and 4 + 3
+ and d2.d_year = 1999
+ and sr_customer_sk = cs_bill_customer_sk
+ and sr_item_sk = cs_item_sk
+ and cs_sold_date_sk = d3.d_date_sk
+ and d3.d_year in (1999,1999+1,1999+2)
+ group by
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ order by
+ i_item_id
+ ,i_item_desc
+ ,s_store_id
+ ,s_store_name
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@catalog_sales
+POSTHOOK: Input: default@date_dim
+POSTHOOK: Input: default@item
+POSTHOOK: Input: default@store
+POSTHOOK: Input: default@store_returns
+POSTHOOK: Input: default@store_sales
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Map 1 <- Reducer 9 (BROADCAST_EDGE)
+Map 10 <- Reducer 16 (BROADCAST_EDGE), Reducer 18 (BROADCAST_EDGE), Reducer 19 (BROADCAST_EDGE), Reducer 20 (BROADCAST_EDGE), Reducer 6 (BROADCAST_EDGE), Reducer 7 (BROADCAST_EDGE)
+Reducer 11 <- Map 10 (SIMPLE_EDGE), Map 15 (SIMPLE_EDGE)
+Reducer 12 <- Reducer 11 (SIMPLE_EDGE), Reducer 17 (SIMPLE_EDGE)
+Reducer 13 <- Map 22 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
+Reducer 14 <- Map 23 (SIMPLE_EDGE), Reducer 13 (SIMPLE_EDGE)
+Reducer 16 <- Map 15 (CUSTOM_SIMPLE_EDGE)
+Reducer 17 <- Map 15 (SIMPLE_EDGE), Map 21 (SIMPLE_EDGE)
+Reducer 18 <- Reducer 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 19 <- Reducer 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Reducer 20 <- Reducer 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 3 <- Reducer 14 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Reducer 2 (CUSTOM_SIMPLE_EDGE)
+Reducer 7 <- Reducer 2 (CUSTOM_SIMPLE_EDGE)
+Reducer 9 <- Map 8 (CUSTOM_SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 5 vectorized
+ File Output Operator [FS_250]
+ Limit [LIM_249] (rows=100 width=496)
+ Number of rows:100
+ Select Operator [SEL_248] (rows=21091879 width=496)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
+ <-Reducer 4 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_247]
+ Group By Operator [GBY_246] (rows=21091879 width=496)
+ 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 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_47]
+ PartitionCols:_col0, _col1, _col2, _col3
+ Group By Operator [GBY_46] (rows=21091879 width=496)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col13)","sum(_col19)","sum(_col3)"],keys:_col6, _col7, _col22, _col23
+ Top N Key Operator [TNK_91] (rows=4156223234 width=483)
+ keys:_col6, _col7, _col22, _col23,sort order:++++,top n:100
+ Merge Join Operator [MERGEJOIN_203] (rows=4156223234 width=483)
+ Conds:RS_42._col2, _col1=RS_43._col11, _col12(Inner),Output:["_col3","_col6","_col7","_col13","_col19","_col22","_col23"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_42]
+ PartitionCols:_col2, _col1
+ Merge Join Operator [MERGEJOIN_197] (rows=7638375 width=10)
+ Conds:RS_214._col0=RS_206._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_206]
+ PartitionCols:_col0
+ Select Operator [SEL_205] (rows=1957 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_204] (rows=1957 width=8)
+ predicate:(d_year) IN (1999, 2000, 2001)
+ TableScan [TS_3] (rows=73049 width=8)
+ default@date_dim,d3,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_214]
+ PartitionCols:_col0
+ Select Operator [SEL_213] (rows=285117831 width=15)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_212] (rows=285117831 width=15)
+ predicate:((cs_sold_date_sk BETWEEN DynamicValue(RS_40_d3_d_date_sk_min) AND DynamicValue(RS_40_d3_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_40_d3_d_date_sk_bloom_filter))) and cs_bill_customer_sk is not null and cs_sold_date_sk is not null)
+ TableScan [TS_0] (rows=287989836 width=15)
+ default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_quantity"]
+ <-Reducer 9 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_211]
+ Group By Operator [GBY_210] (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_209]
+ Group By Operator [GBY_208] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_207] (rows=1957 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_205]
+ <-Reducer 14 [SIMPLE_EDGE]
+ SHUFFLE [RS_43]
+ PartitionCols:_col11, _col12
+ Select Operator [SEL_38] (rows=21091879 width=484)
+ Output:["_col1","_col2","_col8","_col11","_col12","_col14","_col17","_col18"]
+ Merge Join Operator [MERGEJOIN_202] (rows=21091879 width=484)
+ Conds:RS_35._col3=RS_245._col0(Inner),Output:["_col5","_col8","_col9","_col11","_col14","_col15","_col17","_col18"]
+ <-Map 23 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_245]
+ PartitionCols:_col0
+ Select Operator [SEL_244] (rows=1704 width=192)
+ Output:["_col0","_col1","_col2"]
+ TableScan [TS_24] (rows=1704 width=192)
+ default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_store_id","s_store_name"]
+ <-Reducer 13 [SIMPLE_EDGE]
+ SHUFFLE [RS_35]
+ PartitionCols:_col3
+ Merge Join Operator [MERGEJOIN_201] (rows=21091879 width=298)
+ Conds:RS_32._col1=RS_243._col0(Inner),Output:["_col3","_col5","_col8","_col9","_col11","_col14","_col15"]
+ <-Map 22 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_243]
+ PartitionCols:_col0
+ Select Operator [SEL_242] (rows=462000 width=288)
+ Output:["_col0","_col1","_col2"]
+ TableScan [TS_22] (rows=462000 width=288)
+ default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id","i_item_desc"]
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_32]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_200] (rows=21091879 width=18)
+ Conds:RS_29._col1, _col2, _col4=RS_30._col1, _col2, _col3(Inner),Output:["_col1","_col3","_col5","_col8","_col9","_col11"]
+ <-Reducer 17 [SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_30]
+ PartitionCols:_col1, _col2, _col3
+ Merge Join Operator [MERGEJOIN_199] (rows=5384572 width=13)
+ Conds:RS_228._col0=RS_221._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
+ <-Map 15 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_221]
+ PartitionCols:_col0
+ Select Operator [SEL_218] (rows=201 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_216] (rows=201 width=12)
+ predicate:((d_year = 1999) and d_moy BETWEEN 4 AND 7)
+ TableScan [TS_9] (rows=73049 width=12)
+ default@date_dim,d1,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year","d_moy"]
+ <-Map 21 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_228]
+ PartitionCols:_col0
+ Select Operator [SEL_227] (rows=53632139 width=19)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_226] (rows=53632139 width=19)
+ predicate:(sr_customer_sk is not null and sr_returned_date_sk is not null)
+ TableScan [TS_12] (rows=57591150 width=19)
+ default@store_returns,store_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_return_quantity"]
+ <-Reducer 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_29]
+ PartitionCols:_col1, _col2, _col4
+ Merge Join Operator [MERGEJOIN_198] (rows=13737330 width=8)
+ Conds:RS_241._col0=RS_219._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"]
+ <-Map 15 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_219]
+ PartitionCols:_col0
+ Select Operator [SEL_217] (rows=50 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_215] (rows=50 width=12)
+ predicate:((d_moy = 4) and (d_year = 1999))
+ Please refer to the previous TableScan [TS_9]
+ <-Map 10 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_241]
+ PartitionCols:_col0
+ Select Operator [SEL_240] (rows=501694138 width=23)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Filter Operator [FIL_239] (rows=501694138 width=23)
+ predicate:((ss_customer_sk BETWEEN DynamicValue(RS_30_store_returns_sr_customer_sk_min) AND DynamicValue(RS_30_store_returns_sr_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_30_store_returns_sr_customer_sk_bloom_filter))) and (ss_customer_sk BETWEEN DynamicValue(RS_42_catalog_sales_cs_bill_customer_sk_min) AND DynamicValue(RS_42_catalog_sales_cs_bill_customer_sk_max) and in_bloom_filter(ss_customer_sk, DynamicValue(RS_42_catalog_sales_cs_bill_customer_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_30_store_returns_sr_item_sk_min) AND DynamicValue(RS_30_store_returns_sr_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_30_store_returns_sr_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_42_catalog_sales_cs_item_sk_min) AND DynamicValue(RS_42_catalog_sales_cs_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_42_catalog_sales_cs_item_sk_bloom_filter))) and (ss_sold_da
te_sk BETWEEN DynamicValue(RS_27_d1_d_date_sk_min) AND DynamicValue(RS_27_d1_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_27_d1_d_date_sk_bloom_filter))) and (ss_ticket_number BETWEEN DynamicValue(RS_30_store_returns_sr_ticket_number_min) AND DynamicValue(RS_30_store_returns_sr_ticket_number_max) and in_bloom_filter(ss_ticket_number, DynamicValue(RS_30_store_returns_sr_ticket_number_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null)
+ TableScan [TS_6] (rows=575995635 width=23)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_quantity"]
+ <-Reducer 16 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_225]
+ Group By Operator [GBY_224] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 15 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_223]
+ Group By Operator [GBY_222] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_220] (rows=50 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_217]
+ <-Reducer 18 [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)"]
+ <-Reducer 17 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_119]
+ Group By Operator [GBY_118] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_117] (rows=5384572 width=8)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_199]
+ <-Reducer 19 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_232]
+ Group By Operator [GBY_231] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Reducer 17 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_124]
+ Group By Operator [GBY_123] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_122] (rows=5384572 width=5)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_199]
+ <-Reducer 20 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_234]
+ Group By Operator [GBY_233] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=3507020)"]
+ <-Reducer 17 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_129]
+ Group By Operator [GBY_128] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=3507020)"]
+ Select Operator [SEL_127] (rows=5384572 width=8)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_199]
+ <-Reducer 6 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_236]
+ Group By Operator [GBY_235] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Reducer 2 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_144]
+ Group By Operator [GBY_143] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_142] (rows=7638375 width=8)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_197]
+ <-Reducer 7 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_238]
+ 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)"]
+ <-Reducer 2 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_149]
+ Group By Operator [GBY_148] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_147] (rows=7638375 width=6)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_197]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query3.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query3.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query3.q.out
new file mode 100644
index 0000000..0cca24c
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query3.q.out
@@ -0,0 +1,135 @@
+PREHOOK: query: explain
+select dt.d_year
+ ,item.i_brand_id brand_id
+ ,item.i_brand brand
+ ,sum(ss_ext_sales_price) sum_agg
+ from date_dim dt
+ ,store_sales
+ ,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+ and store_sales.ss_item_sk = item.i_item_sk
+ and item.i_manufact_id = 436
+ and dt.d_moy=12
+ group by dt.d_year
+ ,item.i_brand
+ ,item.i_brand_id
+ order by dt.d_year
+ ,sum_agg desc
+ ,brand_id
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@date_dim
+PREHOOK: Input: default@item
+PREHOOK: Input: default@store_sales
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+select dt.d_year
+ ,item.i_brand_id brand_id
+ ,item.i_brand brand
+ ,sum(ss_ext_sales_price) sum_agg
+ from date_dim dt
+ ,store_sales
+ ,item
+ where dt.d_date_sk = store_sales.ss_sold_date_sk
+ and store_sales.ss_item_sk = item.i_item_sk
+ and item.i_manufact_id = 436
+ and dt.d_moy=12
+ group by dt.d_year
+ ,item.i_brand
+ ,item.i_brand_id
+ order by dt.d_year
+ ,sum_agg desc
+ ,brand_id
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@date_dim
+POSTHOOK: Input: default@item
+POSTHOOK: Input: default@store_sales
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Map 1 <- Reducer 7 (BROADCAST_EDGE), Reducer 9 (BROADCAST_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE)
+Reducer 3 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
+Reducer 7 <- Map 6 (CUSTOM_SIMPLE_EDGE)
+Reducer 9 <- Map 8 (CUSTOM_SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 5 vectorized
+ File Output Operator [FS_77]
+ Limit [LIM_76] (rows=100 width=220)
+ Number of rows:100
+ Select Operator [SEL_75] (rows=274400 width=220)
+ Output:["_col0","_col1","_col2","_col3"]
+ <-Reducer 4 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_74]
+ Group By Operator [GBY_73] (rows=274400 width=220)
+ Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_17]
+ PartitionCols:_col0, _col1, _col2
+ Group By Operator [GBY_16] (rows=274400 width=220)
+ Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col2)"],keys:_col7, _col4, _col5
+ Merge Join Operator [MERGEJOIN_53] (rows=589741 width=108)
+ Conds:RS_12._col0=RS_64._col0(Inner),Output:["_col2","_col4","_col5","_col7"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_64]
+ PartitionCols:_col0
+ Select Operator [SEL_63] (rows=5619 width=8)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_62] (rows=5619 width=12)
+ predicate:(d_moy = 12)
+ TableScan [TS_6] (rows=73049 width=12)
+ default@date_dim,dt,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year","d_moy"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_12]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_52] (rows=7666836 width=104)
+ Conds:RS_72._col1=RS_56._col0(Inner),Output:["_col0","_col2","_col4","_col5"]
+ <-Map 6 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_56]
+ PartitionCols:_col0
+ Select Operator [SEL_55] (rows=669 width=107)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_54] (rows=669 width=111)
+ predicate:(i_manufact_id = 436)
+ TableScan [TS_3] (rows=462000 width=111)
+ default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_brand_id","i_brand","i_manufact_id"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_72]
+ PartitionCols:_col1
+ Select Operator [SEL_71] (rows=550076554 width=114)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_70] (rows=550076554 width=114)
+ predicate:((ss_item_sk BETWEEN DynamicValue(RS_10_item_i_item_sk_min) AND DynamicValue(RS_10_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_10_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_13_dt_d_date_sk_min) AND DynamicValue(RS_13_dt_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_13_dt_d_date_sk_bloom_filter))) and ss_sold_date_sk is not null)
+ TableScan [TS_0] (rows=575995635 width=114)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_item_sk","ss_ext_sales_price"]
+ <-Reducer 7 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_61]
+ Group By Operator [GBY_60] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 6 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_59]
+ Group By Operator [GBY_58] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_57] (rows=669 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_55]
+ <-Reducer 9 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_69]
+ Group By Operator [GBY_68] (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_67]
+ Group By Operator [GBY_66] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_65] (rows=5619 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_63]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query30.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query30.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query30.q.out
new file mode 100644
index 0000000..7924edd
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query30.q.out
@@ -0,0 +1,221 @@
+PREHOOK: query: explain
+with customer_total_return as
+ (select wr_returning_customer_sk as ctr_customer_sk
+ ,ca_state as ctr_state,
+ sum(wr_return_amt) as ctr_total_return
+ from web_returns
+ ,date_dim
+ ,customer_address
+ where wr_returned_date_sk = d_date_sk
+ and d_year =2002
+ and wr_returning_addr_sk = ca_address_sk
+ group by wr_returning_customer_sk
+ ,ca_state)
+ select c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
+ ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
+ ,c_last_review_date,ctr_total_return
+ from customer_total_return ctr1
+ ,customer_address
+ ,customer
+ where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+ from customer_total_return ctr2
+ where ctr1.ctr_state = ctr2.ctr_state)
+ and ca_address_sk = c_current_addr_sk
+ and ca_state = 'IL'
+ and ctr1.ctr_customer_sk = c_customer_sk
+ order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
+ ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
+ ,c_last_review_date,ctr_total_return
+limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@customer
+PREHOOK: Input: default@customer_address
+PREHOOK: Input: default@date_dim
+PREHOOK: Input: default@web_returns
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+with customer_total_return as
+ (select wr_returning_customer_sk as ctr_customer_sk
+ ,ca_state as ctr_state,
+ sum(wr_return_amt) as ctr_total_return
+ from web_returns
+ ,date_dim
+ ,customer_address
+ where wr_returned_date_sk = d_date_sk
+ and d_year =2002
+ and wr_returning_addr_sk = ca_address_sk
+ group by wr_returning_customer_sk
+ ,ca_state)
+ select c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
+ ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
+ ,c_last_review_date,ctr_total_return
+ from customer_total_return ctr1
+ ,customer_address
+ ,customer
+ where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+ from customer_total_return ctr2
+ where ctr1.ctr_state = ctr2.ctr_state)
+ and ca_address_sk = c_current_addr_sk
+ and ca_state = 'IL'
+ and ctr1.ctr_customer_sk = c_customer_sk
+ order by c_customer_id,c_salutation,c_first_name,c_last_name,c_preferred_cust_flag
+ ,c_birth_day,c_birth_month,c_birth_year,c_birth_country,c_login,c_email_address
+ ,c_last_review_date,ctr_total_return
+limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@customer
+POSTHOOK: Input: default@customer_address
+POSTHOOK: Input: default@date_dim
+POSTHOOK: Input: default@web_returns
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 10 <- Reducer 9 (SIMPLE_EDGE)
+Reducer 12 <- Map 11 (SIMPLE_EDGE), Map 14 (SIMPLE_EDGE)
+Reducer 13 <- Map 11 (SIMPLE_EDGE), Map 14 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 6 <- Map 5 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
+Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Reducer 10 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE)
+Reducer 9 <- Map 5 (SIMPLE_EDGE), Reducer 13 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 4 vectorized
+ File Output Operator [FS_210]
+ Limit [LIM_209] (rows=100 width=942)
+ Number of rows:100
+ Select Operator [SEL_208] (rows=691171 width=942)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12"]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_63]
+ Select Operator [SEL_62] (rows=691171 width=942)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12"]
+ Merge Join Operator [MERGEJOIN_177] (rows=691171 width=942)
+ Conds:RS_59._col0=RS_60._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col17"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_59]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_171] (rows=1568628 width=834)
+ Conds:RS_180._col2=RS_187._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
+ <-Map 5 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_187]
+ PartitionCols:_col0
+ Select Operator [SEL_184] (rows=784314 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_181] (rows=784314 width=90)
+ predicate:(ca_state = 'IL')
+ TableScan [TS_3] (rows=40000000 width=90)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_state"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_180]
+ PartitionCols:_col2
+ Select Operator [SEL_179] (rows=80000000 width=849)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
+ Filter Operator [FIL_178] (rows=80000000 width=849)
+ predicate:c_current_addr_sk is not null
+ TableScan [TS_0] (rows=80000000 width=849)
+ default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_customer_id","c_current_addr_sk","c_salutation","c_first_name","c_last_name","c_preferred_cust_flag","c_birth_day","c_birth_month","c_birth_year","c_birth_country","c_login","c_email_address","c_last_review_date"]
+ <-Reducer 8 [SIMPLE_EDGE]
+ SHUFFLE [RS_60]
+ PartitionCols:_col0
+ Select Operator [SEL_55] (rows=704993 width=227)
+ Output:["_col0","_col2"]
+ Filter Operator [FIL_54] (rows=704993 width=227)
+ predicate:(_col2 > _col3)
+ Merge Join Operator [MERGEJOIN_176] (rows=2114980 width=227)
+ Conds:RS_202._col1=RS_207._col1(Inner),Output:["_col0","_col2","_col3"]
+ <-Reducer 10 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_207]
+ PartitionCols:_col1
+ Select Operator [SEL_206] (rows=6 width=198)
+ Output:["_col0","_col1"]
+ Group By Operator [GBY_205] (rows=6 width=206)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col2)","count(_col2)"],keys:_col0
+ Select Operator [SEL_204] (rows=2537976 width=201)
+ Output:["_col0","_col2"]
+ Group By Operator [GBY_203] (rows=2537976 width=201)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1
+ <-Reducer 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_43]
+ PartitionCols:_col0
+ Group By Operator [GBY_42] (rows=3923529 width=201)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col6, _col1
+ Merge Join Operator [MERGEJOIN_175] (rows=3923529 width=184)
+ Conds:RS_38._col2=RS_189._col0(Inner),Output:["_col1","_col3","_col6"]
+ <-Map 5 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_189]
+ PartitionCols:_col0
+ Select Operator [SEL_186] (rows=40000000 width=90)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_183] (rows=40000000 width=90)
+ predicate:ca_state is not null
+ Please refer to the previous TableScan [TS_3]
+ <-Reducer 13 [SIMPLE_EDGE]
+ SHUFFLE [RS_38]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_174] (rows=3923529 width=101)
+ Conds:RS_195._col0=RS_199._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 11 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_195]
+ PartitionCols:_col0
+ Select Operator [SEL_193] (rows=13130761 width=118)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_191] (rows=13130761 width=118)
+ predicate:(wr_returned_date_sk is not null and wr_returning_addr_sk is not null)
+ TableScan [TS_6] (rows=14398467 width=118)
+ default@web_returns,web_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["wr_returned_date_sk","wr_returning_customer_sk","wr_returning_addr_sk","wr_return_amt"]
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_199]
+ PartitionCols:_col0
+ Select Operator [SEL_197] (rows=652 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_196] (rows=652 width=8)
+ predicate:(d_year = 2002)
+ TableScan [TS_9] (rows=73049 width=8)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year"]
+ <-Reducer 7 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_202]
+ PartitionCols:_col1
+ Select Operator [SEL_201] (rows=2114980 width=201)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_200] (rows=2114980 width=201)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1
+ <-Reducer 6 [SIMPLE_EDGE]
+ SHUFFLE [RS_23]
+ PartitionCols:_col0, _col1
+ Group By Operator [GBY_22] (rows=3746772 width=201)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col6, _col1
+ Merge Join Operator [MERGEJOIN_173] (rows=3746772 width=184)
+ Conds:RS_18._col2=RS_188._col0(Inner),Output:["_col1","_col3","_col6"]
+ <-Map 5 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_188]
+ PartitionCols:_col0
+ Select Operator [SEL_185] (rows=40000000 width=90)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_182] (rows=40000000 width=90)
+ predicate:ca_state is not null
+ Please refer to the previous TableScan [TS_3]
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_18]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_172] (rows=3746772 width=101)
+ Conds:RS_194._col0=RS_198._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 11 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_194]
+ PartitionCols:_col0
+ Select Operator [SEL_192] (rows=12539215 width=118)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_190] (rows=12539215 width=118)
+ predicate:(wr_returned_date_sk is not null and wr_returning_addr_sk is not null and wr_returning_customer_sk is not null)
+ Please refer to the previous TableScan [TS_6]
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_198]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_197]
+