You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hive.apache.org by se...@apache.org on 2017/10/03 22:55:08 UTC
[02/50] [abbrv] hive git commit: HIVE-17543: Enable PerfCliDriver for
HoS (Sahil Takiar, reviewed by Peter Vary) (addendum)
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query9.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query9.q.out b/ql/src/test/results/clientpositive/perf/tez/query9.q.out
new file mode 100644
index 0000000..24de6f2
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/query9.q.out
@@ -0,0 +1,414 @@
+Warning: Shuffle Join MERGEJOIN[171][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 2' is a cross product
+Warning: Shuffle Join MERGEJOIN[172][tables = [$hdt$_0, $hdt$_1, $hdt$_2]] in Stage 'Reducer 3' is a cross product
+Warning: Shuffle Join MERGEJOIN[173][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3]] in Stage 'Reducer 4' is a cross product
+Warning: Shuffle Join MERGEJOIN[174][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4]] in Stage 'Reducer 5' is a cross product
+Warning: Shuffle Join MERGEJOIN[175][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5]] in Stage 'Reducer 6' is a cross product
+Warning: Shuffle Join MERGEJOIN[176][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6]] in Stage 'Reducer 7' is a cross product
+Warning: Shuffle Join MERGEJOIN[177][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6, $hdt$_7]] in Stage 'Reducer 8' is a cross product
+Warning: Shuffle Join MERGEJOIN[178][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6, $hdt$_7, $hdt$_8]] in Stage 'Reducer 9' is a cross product
+Warning: Shuffle Join MERGEJOIN[179][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6, $hdt$_7, $hdt$_8, $hdt$_9]] in Stage 'Reducer 10' is a cross product
+Warning: Shuffle Join MERGEJOIN[180][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6, $hdt$_7, $hdt$_8, $hdt$_9, $hdt$_10]] in Stage 'Reducer 11' is a cross product
+Warning: Shuffle Join MERGEJOIN[181][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6, $hdt$_7, $hdt$_8, $hdt$_9, $hdt$_10, $hdt$_11]] in Stage 'Reducer 12' is a cross product
+Warning: Shuffle Join MERGEJOIN[182][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6, $hdt$_7, $hdt$_8, $hdt$_9, $hdt$_10, $hdt$_11, $hdt$_12]] in Stage 'Reducer 13' is a cross product
+Warning: Shuffle Join MERGEJOIN[183][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6, $hdt$_7, $hdt$_8, $hdt$_9, $hdt$_10, $hdt$_11, $hdt$_12, $hdt$_13]] in Stage 'Reducer 14' is a cross product
+Warning: Shuffle Join MERGEJOIN[184][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6, $hdt$_7, $hdt$_8, $hdt$_9, $hdt$_10, $hdt$_11, $hdt$_12, $hdt$_13, $hdt$_14]] in Stage 'Reducer 15' is a cross product
+Warning: Shuffle Join MERGEJOIN[185][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5, $hdt$_6, $hdt$_7, $hdt$_8, $hdt$_9, $hdt$_10, $hdt$_11, $hdt$_12, $hdt$_13, $hdt$_14, $hdt$_15]] in Stage 'Reducer 16' is a cross product
+PREHOOK: query: explain
+select case when (select count(*)
+ from store_sales
+ where ss_quantity between 1 and 20) > 409437
+ then (select avg(ss_ext_list_price)
+ from store_sales
+ where ss_quantity between 1 and 20)
+ else (select avg(ss_net_paid_inc_tax)
+ from store_sales
+ where ss_quantity between 1 and 20) end bucket1 ,
+ case when (select count(*)
+ from store_sales
+ where ss_quantity between 21 and 40) > 4595804
+ then (select avg(ss_ext_list_price)
+ from store_sales
+ where ss_quantity between 21 and 40)
+ else (select avg(ss_net_paid_inc_tax)
+ from store_sales
+ where ss_quantity between 21 and 40) end bucket2,
+ case when (select count(*)
+ from store_sales
+ where ss_quantity between 41 and 60) > 7887297
+ then (select avg(ss_ext_list_price)
+ from store_sales
+ where ss_quantity between 41 and 60)
+ else (select avg(ss_net_paid_inc_tax)
+ from store_sales
+ where ss_quantity between 41 and 60) end bucket3,
+ case when (select count(*)
+ from store_sales
+ where ss_quantity between 61 and 80) > 10872978
+ then (select avg(ss_ext_list_price)
+ from store_sales
+ where ss_quantity between 61 and 80)
+ else (select avg(ss_net_paid_inc_tax)
+ from store_sales
+ where ss_quantity between 61 and 80) end bucket4,
+ case when (select count(*)
+ from store_sales
+ where ss_quantity between 81 and 100) > 43571537
+ then (select avg(ss_ext_list_price)
+ from store_sales
+ where ss_quantity between 81 and 100)
+ else (select avg(ss_net_paid_inc_tax)
+ from store_sales
+ where ss_quantity between 81 and 100) end bucket5
+from reason
+where r_reason_sk = 1
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+select case when (select count(*)
+ from store_sales
+ where ss_quantity between 1 and 20) > 409437
+ then (select avg(ss_ext_list_price)
+ from store_sales
+ where ss_quantity between 1 and 20)
+ else (select avg(ss_net_paid_inc_tax)
+ from store_sales
+ where ss_quantity between 1 and 20) end bucket1 ,
+ case when (select count(*)
+ from store_sales
+ where ss_quantity between 21 and 40) > 4595804
+ then (select avg(ss_ext_list_price)
+ from store_sales
+ where ss_quantity between 21 and 40)
+ else (select avg(ss_net_paid_inc_tax)
+ from store_sales
+ where ss_quantity between 21 and 40) end bucket2,
+ case when (select count(*)
+ from store_sales
+ where ss_quantity between 41 and 60) > 7887297
+ then (select avg(ss_ext_list_price)
+ from store_sales
+ where ss_quantity between 41 and 60)
+ else (select avg(ss_net_paid_inc_tax)
+ from store_sales
+ where ss_quantity between 41 and 60) end bucket3,
+ case when (select count(*)
+ from store_sales
+ where ss_quantity between 61 and 80) > 10872978
+ then (select avg(ss_ext_list_price)
+ from store_sales
+ where ss_quantity between 61 and 80)
+ else (select avg(ss_net_paid_inc_tax)
+ from store_sales
+ where ss_quantity between 61 and 80) end bucket4,
+ case when (select count(*)
+ from store_sales
+ where ss_quantity between 81 and 100) > 43571537
+ then (select avg(ss_ext_list_price)
+ from store_sales
+ where ss_quantity between 81 and 100)
+ else (select avg(ss_net_paid_inc_tax)
+ from store_sales
+ where ss_quantity between 81 and 100) end bucket5
+from reason
+where r_reason_sk = 1
+POSTHOOK: type: QUERY
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 10 <- Reducer 34 (CUSTOM_SIMPLE_EDGE), Reducer 9 (CUSTOM_SIMPLE_EDGE)
+Reducer 11 <- Reducer 10 (CUSTOM_SIMPLE_EDGE), Reducer 18 (CUSTOM_SIMPLE_EDGE)
+Reducer 12 <- Reducer 11 (CUSTOM_SIMPLE_EDGE), Reducer 24 (CUSTOM_SIMPLE_EDGE)
+Reducer 13 <- Reducer 12 (CUSTOM_SIMPLE_EDGE), Reducer 30 (CUSTOM_SIMPLE_EDGE)
+Reducer 14 <- Reducer 13 (CUSTOM_SIMPLE_EDGE), Reducer 19 (CUSTOM_SIMPLE_EDGE)
+Reducer 15 <- Reducer 14 (CUSTOM_SIMPLE_EDGE), Reducer 25 (CUSTOM_SIMPLE_EDGE)
+Reducer 16 <- Reducer 15 (CUSTOM_SIMPLE_EDGE), Reducer 31 (CUSTOM_SIMPLE_EDGE)
+Reducer 18 <- Map 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 19 <- Map 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (CUSTOM_SIMPLE_EDGE), Reducer 20 (CUSTOM_SIMPLE_EDGE)
+Reducer 20 <- Map 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 21 <- Map 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 22 <- Map 17 (CUSTOM_SIMPLE_EDGE)
+Reducer 24 <- Map 23 (CUSTOM_SIMPLE_EDGE)
+Reducer 25 <- Map 23 (CUSTOM_SIMPLE_EDGE)
+Reducer 26 <- Map 23 (CUSTOM_SIMPLE_EDGE)
+Reducer 27 <- Map 23 (CUSTOM_SIMPLE_EDGE)
+Reducer 28 <- Map 23 (CUSTOM_SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (CUSTOM_SIMPLE_EDGE), Reducer 26 (CUSTOM_SIMPLE_EDGE)
+Reducer 30 <- Map 29 (CUSTOM_SIMPLE_EDGE)
+Reducer 31 <- Map 29 (CUSTOM_SIMPLE_EDGE)
+Reducer 32 <- Map 29 (CUSTOM_SIMPLE_EDGE)
+Reducer 33 <- Map 29 (CUSTOM_SIMPLE_EDGE)
+Reducer 34 <- Map 29 (CUSTOM_SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (CUSTOM_SIMPLE_EDGE), Reducer 32 (CUSTOM_SIMPLE_EDGE)
+Reducer 5 <- Reducer 21 (CUSTOM_SIMPLE_EDGE), Reducer 4 (CUSTOM_SIMPLE_EDGE)
+Reducer 6 <- Reducer 27 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE)
+Reducer 7 <- Reducer 33 (CUSTOM_SIMPLE_EDGE), Reducer 6 (CUSTOM_SIMPLE_EDGE)
+Reducer 8 <- Reducer 22 (CUSTOM_SIMPLE_EDGE), Reducer 7 (CUSTOM_SIMPLE_EDGE)
+Reducer 9 <- Reducer 28 (CUSTOM_SIMPLE_EDGE), Reducer 8 (CUSTOM_SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:-1
+ Stage-1
+ Reducer 16
+ File Output Operator [FS_154]
+ Select Operator [SEL_153] (rows=36 width=3135)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Merge Join Operator [MERGEJOIN_185] (rows=36 width=3135)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15"]
+ <-Reducer 15 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_150]
+ Merge Join Operator [MERGEJOIN_184] (rows=36 width=2846)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"]
+ <-Reducer 14 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_147]
+ Merge Join Operator [MERGEJOIN_183] (rows=36 width=2557)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13"]
+ <-Reducer 13 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_144]
+ Merge Join Operator [MERGEJOIN_182] (rows=36 width=2548)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12"]
+ <-Reducer 12 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_141]
+ Merge Join Operator [MERGEJOIN_181] (rows=36 width=2259)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"]
+ <-Reducer 11 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_138]
+ Merge Join Operator [MERGEJOIN_180] (rows=36 width=1970)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
+ <-Reducer 10 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_135]
+ Merge Join Operator [MERGEJOIN_179] (rows=36 width=1961)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
+ <-Reducer 34 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_133]
+ Group By Operator [GBY_64] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(VALUE._col0)"]
+ <-Map 29 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_63]
+ Group By Operator [GBY_62] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(ss_net_paid_inc_tax)"]
+ Select Operator [SEL_61] (rows=63999515 width=88)
+ Output:["ss_net_paid_inc_tax"]
+ Filter Operator [FIL_164] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 41 AND 60
+ TableScan [TS_80] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_quantity","ss_net_paid_inc_tax"]
+ <-Reducer 9 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_132]
+ Merge Join Operator [MERGEJOIN_178] (rows=36 width=1672)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ <-Reducer 28 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_130]
+ Group By Operator [GBY_57] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(VALUE._col0)"]
+ <-Map 23 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_56]
+ Group By Operator [GBY_55] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(ss_ext_list_price)"]
+ Select Operator [SEL_54] (rows=63999515 width=88)
+ Output:["ss_ext_list_price"]
+ Filter Operator [FIL_163] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 41 AND 60
+ TableScan [TS_73] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_quantity","ss_ext_list_price"]
+ <-Reducer 8 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_129]
+ Merge Join Operator [MERGEJOIN_177] (rows=36 width=1383)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
+ <-Reducer 22 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_127]
+ Group By Operator [GBY_50] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count(VALUE._col0)"]
+ <-Map 17 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_49]
+ Group By Operator [GBY_48] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count()"]
+ Select Operator [SEL_47] (rows=63999515 width=88)
+ Filter Operator [FIL_162] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 41 AND 60
+ TableScan [TS_66] (rows=575995635 width=88)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_quantity"]
+ <-Reducer 7 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_126]
+ Merge Join Operator [MERGEJOIN_176] (rows=36 width=1374)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
+ <-Reducer 33 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_124]
+ Group By Operator [GBY_43] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(VALUE._col0)"]
+ <-Map 29 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_42]
+ Group By Operator [GBY_41] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(ss_net_paid_inc_tax)"]
+ Select Operator [SEL_40] (rows=63999515 width=88)
+ Output:["ss_net_paid_inc_tax"]
+ Filter Operator [FIL_161] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 21 AND 40
+ Please refer to the previous TableScan [TS_80]
+ <-Reducer 6 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_123]
+ Merge Join Operator [MERGEJOIN_175] (rows=36 width=1085)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4","_col5"]
+ <-Reducer 27 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_121]
+ Group By Operator [GBY_36] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(VALUE._col0)"]
+ <-Map 23 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_35]
+ Group By Operator [GBY_34] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(ss_ext_list_price)"]
+ Select Operator [SEL_33] (rows=63999515 width=88)
+ Output:["ss_ext_list_price"]
+ Filter Operator [FIL_160] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 21 AND 40
+ Please refer to the previous TableScan [TS_73]
+ <-Reducer 5 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_120]
+ Merge Join Operator [MERGEJOIN_174] (rows=36 width=796)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3","_col4"]
+ <-Reducer 21 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_118]
+ Group By Operator [GBY_29] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count(VALUE._col0)"]
+ <-Map 17 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_28]
+ Group By Operator [GBY_27] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count()"]
+ Select Operator [SEL_26] (rows=63999515 width=88)
+ Filter Operator [FIL_159] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 21 AND 40
+ Please refer to the previous TableScan [TS_66]
+ <-Reducer 4 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_117]
+ Merge Join Operator [MERGEJOIN_173] (rows=36 width=787)
+ Conds:(Left Outer),Output:["_col1","_col2","_col3"]
+ <-Reducer 3 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_114]
+ Merge Join Operator [MERGEJOIN_172] (rows=36 width=498)
+ Conds:(Left Outer),Output:["_col1","_col2"]
+ <-Reducer 2 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_111]
+ Merge Join Operator [MERGEJOIN_171] (rows=36 width=209)
+ Conds:(Left Outer),Output:["_col1"]
+ <-Map 1 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_108]
+ Select Operator [SEL_2] (rows=36 width=200)
+ Filter Operator [FIL_155] (rows=36 width=200)
+ predicate:(r_reason_sk = 1)
+ TableScan [TS_0] (rows=72 width=200)
+ default@reason,reason,Tbl:COMPLETE,Col:NONE,Output:["r_reason_sk"]
+ <-Reducer 20 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_109]
+ Group By Operator [GBY_8] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count(VALUE._col0)"]
+ <-Map 17 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_7]
+ Group By Operator [GBY_6] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count()"]
+ Select Operator [SEL_5] (rows=63999515 width=88)
+ Filter Operator [FIL_156] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 1 AND 20
+ Please refer to the previous TableScan [TS_66]
+ <-Reducer 26 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_112]
+ Group By Operator [GBY_15] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(VALUE._col0)"]
+ <-Map 23 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_14]
+ Group By Operator [GBY_13] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(ss_ext_list_price)"]
+ Select Operator [SEL_12] (rows=63999515 width=88)
+ Output:["ss_ext_list_price"]
+ Filter Operator [FIL_157] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 1 AND 20
+ Please refer to the previous TableScan [TS_73]
+ <-Reducer 32 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_115]
+ Group By Operator [GBY_22] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(VALUE._col0)"]
+ <-Map 29 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_21]
+ Group By Operator [GBY_20] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(ss_net_paid_inc_tax)"]
+ Select Operator [SEL_19] (rows=63999515 width=88)
+ Output:["ss_net_paid_inc_tax"]
+ Filter Operator [FIL_158] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 1 AND 20
+ Please refer to the previous TableScan [TS_80]
+ <-Reducer 18 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_136]
+ Group By Operator [GBY_71] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count(VALUE._col0)"]
+ <-Map 17 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_70]
+ Group By Operator [GBY_69] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count()"]
+ Select Operator [SEL_68] (rows=63999515 width=88)
+ Filter Operator [FIL_165] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 61 AND 80
+ Please refer to the previous TableScan [TS_66]
+ <-Reducer 24 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_139]
+ Group By Operator [GBY_78] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(VALUE._col0)"]
+ <-Map 23 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_77]
+ Group By Operator [GBY_76] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(ss_ext_list_price)"]
+ Select Operator [SEL_75] (rows=63999515 width=88)
+ Output:["ss_ext_list_price"]
+ Filter Operator [FIL_166] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 61 AND 80
+ Please refer to the previous TableScan [TS_73]
+ <-Reducer 30 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_142]
+ Group By Operator [GBY_85] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(VALUE._col0)"]
+ <-Map 29 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_84]
+ Group By Operator [GBY_83] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(ss_net_paid_inc_tax)"]
+ Select Operator [SEL_82] (rows=63999515 width=88)
+ Output:["ss_net_paid_inc_tax"]
+ Filter Operator [FIL_167] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 61 AND 80
+ Please refer to the previous TableScan [TS_80]
+ <-Reducer 19 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_145]
+ Group By Operator [GBY_92] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count(VALUE._col0)"]
+ <-Map 17 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_91]
+ Group By Operator [GBY_90] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count()"]
+ Select Operator [SEL_89] (rows=63999515 width=88)
+ Filter Operator [FIL_168] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 81 AND 100
+ Please refer to the previous TableScan [TS_66]
+ <-Reducer 25 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_148]
+ Group By Operator [GBY_99] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(VALUE._col0)"]
+ <-Map 23 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_98]
+ Group By Operator [GBY_97] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(ss_ext_list_price)"]
+ Select Operator [SEL_96] (rows=63999515 width=88)
+ Output:["ss_ext_list_price"]
+ Filter Operator [FIL_169] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 81 AND 100
+ Please refer to the previous TableScan [TS_73]
+ <-Reducer 31 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_151]
+ Group By Operator [GBY_106] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(VALUE._col0)"]
+ <-Map 29 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_105]
+ Group By Operator [GBY_104] (rows=1 width=288)
+ Output:["_col0"],aggregations:["avg(ss_net_paid_inc_tax)"]
+ Select Operator [SEL_103] (rows=63999515 width=88)
+ Output:["ss_net_paid_inc_tax"]
+ Filter Operator [FIL_170] (rows=63999515 width=88)
+ predicate:ss_quantity BETWEEN 81 AND 100
+ Please refer to the previous TableScan [TS_80]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query90.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query90.q.out b/ql/src/test/results/clientpositive/perf/tez/query90.q.out
new file mode 100644
index 0000000..d63ce1b
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/query90.q.out
@@ -0,0 +1,170 @@
+Warning: Shuffle Join MERGEJOIN[92][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 6' is a cross product
+PREHOOK: query: explain
+select cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio
+ from ( select count(*) amc
+ from web_sales, household_demographics , time_dim, web_page
+ where ws_sold_time_sk = time_dim.t_time_sk
+ and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
+ and ws_web_page_sk = web_page.wp_web_page_sk
+ and time_dim.t_hour between 6 and 6+1
+ and household_demographics.hd_dep_count = 8
+ and web_page.wp_char_count between 5000 and 5200) at,
+ ( select count(*) pmc
+ from web_sales, household_demographics , time_dim, web_page
+ where ws_sold_time_sk = time_dim.t_time_sk
+ and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
+ and ws_web_page_sk = web_page.wp_web_page_sk
+ and time_dim.t_hour between 14 and 14+1
+ and household_demographics.hd_dep_count = 8
+ and web_page.wp_char_count between 5000 and 5200) pt
+ order by am_pm_ratio
+ limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+select cast(amc as decimal(15,4))/cast(pmc as decimal(15,4)) am_pm_ratio
+ from ( select count(*) amc
+ from web_sales, household_demographics , time_dim, web_page
+ where ws_sold_time_sk = time_dim.t_time_sk
+ and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
+ and ws_web_page_sk = web_page.wp_web_page_sk
+ and time_dim.t_hour between 6 and 6+1
+ and household_demographics.hd_dep_count = 8
+ and web_page.wp_char_count between 5000 and 5200) at,
+ ( select count(*) pmc
+ from web_sales, household_demographics , time_dim, web_page
+ where ws_sold_time_sk = time_dim.t_time_sk
+ and ws_ship_hdemo_sk = household_demographics.hd_demo_sk
+ and ws_web_page_sk = web_page.wp_web_page_sk
+ and time_dim.t_hour between 14 and 14+1
+ and household_demographics.hd_dep_count = 8
+ and web_page.wp_char_count between 5000 and 5200) pt
+ order by am_pm_ratio
+ limit 100
+POSTHOOK: type: QUERY
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 10 <- Map 14 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
+Reducer 11 <- Reducer 10 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE)
+Reducer 3 <- Map 13 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 14 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (CUSTOM_SIMPLE_EDGE)
+Reducer 6 <- Reducer 11 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE)
+Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE)
+Reducer 9 <- Map 13 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 7
+ File Output Operator [FS_59]
+ Limit [LIM_58] (rows=1 width=17)
+ Number of rows:100
+ Select Operator [SEL_57] (rows=1 width=17)
+ Output:["_col0"]
+ <-Reducer 6 [SIMPLE_EDGE]
+ SHUFFLE [RS_56]
+ Select Operator [SEL_55] (rows=1 width=17)
+ Output:["_col0"]
+ Merge Join Operator [MERGEJOIN_92] (rows=1 width=17)
+ Conds:(Inner),Output:["_col0","_col1"]
+ <-Reducer 11 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_53]
+ Group By Operator [GBY_50] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count(VALUE._col0)"]
+ <-Reducer 10 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_49]
+ Group By Operator [GBY_48] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count()"]
+ Merge Join Operator [MERGEJOIN_91] (rows=191667562 width=135)
+ Conds:RS_44._col1=RS_45._col0(Inner)
+ <-Map 14 [SIMPLE_EDGE]
+ SHUFFLE [RS_45]
+ PartitionCols:_col0
+ Select Operator [SEL_11] (rows=3600 width=107)
+ Output:["_col0"]
+ Filter Operator [FIL_81] (rows=3600 width=107)
+ predicate:((hd_dep_count = 8) and hd_demo_sk is not null)
+ TableScan [TS_9] (rows=7200 width=107)
+ default@household_demographics,household_demographics,Tbl:COMPLETE,Col:NONE,Output:["hd_demo_sk","hd_dep_count"]
+ <-Reducer 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_44]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_90] (rows=174243235 width=135)
+ Conds:RS_41._col0=RS_42._col0(Inner),Output:["_col1"]
+ <-Map 13 [SIMPLE_EDGE]
+ SHUFFLE [RS_42]
+ PartitionCols:_col0
+ Select Operator [SEL_34] (rows=9600 width=471)
+ Output:["_col0"]
+ Filter Operator [FIL_84] (rows=9600 width=471)
+ predicate:(t_hour BETWEEN 14 AND 15 and t_time_sk is not null)
+ TableScan [TS_6] (rows=86400 width=471)
+ default@time_dim,time_dim,Tbl:COMPLETE,Col:NONE,Output:["t_time_sk","t_hour"]
+ <-Reducer 8 [SIMPLE_EDGE]
+ SHUFFLE [RS_41]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_89] (rows=158402938 width=135)
+ Conds:RS_38._col2=RS_39._col0(Inner),Output:["_col0","_col1"]
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_38]
+ PartitionCols:_col2
+ Select Operator [SEL_2] (rows=144002668 width=135)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_78] (rows=144002668 width=135)
+ predicate:(ws_ship_hdemo_sk is not null and ws_sold_time_sk is not null and ws_web_page_sk is not null)
+ TableScan [TS_0] (rows=144002668 width=135)
+ default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_time_sk","ws_ship_hdemo_sk","ws_web_page_sk"]
+ <-Map 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_39]
+ PartitionCols:_col0
+ Select Operator [SEL_5] (rows=511 width=585)
+ Output:["_col0"]
+ Filter Operator [FIL_79] (rows=511 width=585)
+ predicate:(wp_char_count BETWEEN 5000 AND 5200 and wp_web_page_sk is not null)
+ TableScan [TS_3] (rows=4602 width=585)
+ default@web_page,web_page,Tbl:COMPLETE,Col:NONE,Output:["wp_web_page_sk","wp_char_count"]
+ <-Reducer 5 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_52]
+ Group By Operator [GBY_24] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count(VALUE._col0)"]
+ <-Reducer 4 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_23]
+ Group By Operator [GBY_22] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count()"]
+ Merge Join Operator [MERGEJOIN_88] (rows=191667562 width=135)
+ Conds:RS_18._col1=RS_19._col0(Inner)
+ <-Map 14 [SIMPLE_EDGE]
+ SHUFFLE [RS_19]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_11]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_18]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_87] (rows=174243235 width=135)
+ Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1"]
+ <-Map 13 [SIMPLE_EDGE]
+ SHUFFLE [RS_16]
+ PartitionCols:_col0
+ Select Operator [SEL_8] (rows=9600 width=471)
+ Output:["_col0"]
+ Filter Operator [FIL_80] (rows=9600 width=471)
+ predicate:(t_hour BETWEEN 6 AND 7 and t_time_sk is not null)
+ Please refer to the previous TableScan [TS_6]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_15]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_86] (rows=158402938 width=135)
+ Conds:RS_12._col2=RS_13._col0(Inner),Output:["_col0","_col1"]
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_12]
+ PartitionCols:_col2
+ Please refer to the previous Select Operator [SEL_2]
+ <-Map 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_13]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_5]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query91.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query91.q.out b/ql/src/test/results/clientpositive/perf/tez/query91.q.out
new file mode 100644
index 0000000..f808a50
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/query91.q.out
@@ -0,0 +1,184 @@
+PREHOOK: query: explain
+select
+ cc_call_center_id Call_Center,
+ cc_name Call_Center_Name,
+ cc_manager Manager,
+ sum(cr_net_loss) Returns_Loss
+from
+ call_center,
+ catalog_returns,
+ date_dim,
+ customer,
+ customer_address,
+ customer_demographics,
+ household_demographics
+where
+ cr_call_center_sk = cc_call_center_sk
+and cr_returned_date_sk = d_date_sk
+and cr_returning_customer_sk= c_customer_sk
+and cd_demo_sk = c_current_cdemo_sk
+and hd_demo_sk = c_current_hdemo_sk
+and ca_address_sk = c_current_addr_sk
+and d_year = 1999
+and d_moy = 11
+and ( (cd_marital_status = 'M' and cd_education_status = 'Unknown')
+ or(cd_marital_status = 'W' and cd_education_status = 'Advanced Degree'))
+and hd_buy_potential like '0-500%'
+and ca_gmt_offset = -7
+group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status
+order by sum(cr_net_loss) desc
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+select
+ cc_call_center_id Call_Center,
+ cc_name Call_Center_Name,
+ cc_manager Manager,
+ sum(cr_net_loss) Returns_Loss
+from
+ call_center,
+ catalog_returns,
+ date_dim,
+ customer,
+ customer_address,
+ customer_demographics,
+ household_demographics
+where
+ cr_call_center_sk = cc_call_center_sk
+and cr_returned_date_sk = d_date_sk
+and cr_returning_customer_sk= c_customer_sk
+and cd_demo_sk = c_current_cdemo_sk
+and hd_demo_sk = c_current_hdemo_sk
+and ca_address_sk = c_current_addr_sk
+and d_year = 1999
+and d_moy = 11
+and ( (cd_marital_status = 'M' and cd_education_status = 'Unknown')
+ or(cd_marital_status = 'W' and cd_education_status = 'Advanced Degree'))
+and hd_buy_potential like '0-500%'
+and ca_gmt_offset = -7
+group by cc_call_center_id,cc_name,cc_manager,cd_marital_status,cd_education_status
+order by sum(cr_net_loss) desc
+POSTHOOK: type: QUERY
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 10 <- Map 13 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
+Reducer 11 <- Map 14 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE)
+Reducer 12 <- Map 15 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
+Reducer 3 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 12 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:-1
+ Stage-1
+ Reducer 6
+ File Output Operator [FS_48]
+ Select Operator [SEL_46] (rows=58564004 width=860)
+ Output:["_col0","_col1","_col2","_col3"]
+ <-Reducer 5 [SIMPLE_EDGE]
+ SHUFFLE [RS_45]
+ Select Operator [SEL_44] (rows=58564004 width=860)
+ Output:["_col0","_col1","_col2","_col6"]
+ Group By Operator [GBY_43] (rows=58564004 width=860)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_42]
+ PartitionCols:_col0, _col1, _col2, _col3, _col4
+ Group By Operator [GBY_41] (rows=117128008 width=860)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col3)"],keys:_col8, _col9, _col10, _col18, _col19
+ Merge Join Operator [MERGEJOIN_82] (rows=117128008 width=860)
+ Conds:RS_37._col1=RS_38._col2(Inner),Output:["_col3","_col8","_col9","_col10","_col18","_col19"]
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_38]
+ PartitionCols:_col2
+ Select Operator [SEL_30] (rows=106480005 width=860)
+ Output:["_col2","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_81] (rows=106480005 width=860)
+ Conds:RS_27._col2=RS_28._col0(Inner),Output:["_col0","_col5","_col6"]
+ <-Map 15 [SIMPLE_EDGE]
+ SHUFFLE [RS_28]
+ PartitionCols:_col0
+ Select Operator [SEL_20] (rows=3600 width=107)
+ Output:["_col0"]
+ Filter Operator [FIL_76] (rows=3600 width=107)
+ predicate:((hd_buy_potential like '0-500%') and hd_demo_sk is not null)
+ TableScan [TS_18] (rows=7200 width=107)
+ default@household_demographics,household_demographics,Tbl:COMPLETE,Col:NONE,Output:["hd_demo_sk","hd_buy_potential"]
+ <-Reducer 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_27]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_80] (rows=96800003 width=860)
+ Conds:RS_24._col3=RS_25._col0(Inner),Output:["_col0","_col2","_col5","_col6"]
+ <-Map 14 [SIMPLE_EDGE]
+ SHUFFLE [RS_25]
+ PartitionCols:_col0
+ Select Operator [SEL_17] (rows=20000000 width=1014)
+ Output:["_col0"]
+ Filter Operator [FIL_75] (rows=20000000 width=1014)
+ predicate:((ca_gmt_offset = -7) and ca_address_sk is not null)
+ TableScan [TS_15] (rows=40000000 width=1014)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_gmt_offset"]
+ <-Reducer 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_24]
+ PartitionCols:_col3
+ Merge Join Operator [MERGEJOIN_79] (rows=88000001 width=860)
+ Conds:RS_21._col1=RS_22._col0(Inner),Output:["_col0","_col2","_col3","_col5","_col6"]
+ <-Map 13 [SIMPLE_EDGE]
+ SHUFFLE [RS_22]
+ PartitionCols:_col0
+ Select Operator [SEL_14] (rows=930900 width=385)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_74] (rows=930900 width=385)
+ predicate:((((cd_marital_status = 'M') and (cd_education_status = 'Unknown')) or ((cd_marital_status = 'W') and (cd_education_status = 'Advanced Degree'))) and ((cd_education_status = 'Unknown') or (cd_education_status = 'Advanced Degree')) and ((cd_marital_status = 'M') or (cd_marital_status = 'W')) and cd_demo_sk is not null)
+ TableScan [TS_12] (rows=1861800 width=385)
+ default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_marital_status","cd_education_status"]
+ <-Map 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_21]
+ PartitionCols:_col1
+ Select Operator [SEL_11] (rows=80000000 width=860)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_73] (rows=80000000 width=860)
+ predicate:(c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_current_hdemo_sk is not null and c_customer_sk is not null)
+ TableScan [TS_9] (rows=80000000 width=860)
+ default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_cdemo_sk","c_current_hdemo_sk","c_current_addr_sk"]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_37]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_78] (rows=34846646 width=106)
+ Conds:RS_34._col2=RS_35._col0(Inner),Output:["_col1","_col3","_col8","_col9","_col10"]
+ <-Map 8 [SIMPLE_EDGE]
+ SHUFFLE [RS_35]
+ PartitionCols:_col0
+ Select Operator [SEL_8] (rows=60 width=2045)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_72] (rows=60 width=2045)
+ predicate:cc_call_center_sk is not null
+ TableScan [TS_6] (rows=60 width=2045)
+ default@call_center,call_center,Tbl:COMPLETE,Col:NONE,Output:["cc_call_center_sk","cc_call_center_id","cc_name","cc_manager"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_34]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_77] (rows=31678769 width=106)
+ Conds:RS_31._col0=RS_32._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_31]
+ PartitionCols:_col0
+ Select Operator [SEL_2] (rows=28798881 width=106)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_70] (rows=28798881 width=106)
+ predicate:(cr_call_center_sk is not null and cr_returned_date_sk is not null and cr_returning_customer_sk is not null)
+ TableScan [TS_0] (rows=28798881 width=106)
+ default@catalog_returns,catalog_returns,Tbl:COMPLETE,Col:NONE,Output:["cr_returned_date_sk","cr_returning_customer_sk","cr_call_center_sk","cr_net_loss"]
+ <-Map 7 [SIMPLE_EDGE]
+ SHUFFLE [RS_32]
+ PartitionCols:_col0
+ Select Operator [SEL_5] (rows=18262 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_71] (rows=18262 width=1119)
+ predicate:((d_moy = 11) and (d_year = 1999) 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_year","d_moy"]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query92.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query92.q.out b/ql/src/test/results/clientpositive/perf/tez/query92.q.out
new file mode 100644
index 0000000..adcbd833
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/query92.q.out
@@ -0,0 +1,155 @@
+PREHOOK: query: explain
+select
+ sum(ws_ext_discount_amt) as `Excess Discount Amount`
+from
+ web_sales
+ ,item
+ ,date_dim
+where
+i_manufact_id = 269
+and i_item_sk = ws_item_sk
+and d_date between '1998-03-18' and
+ (cast('1998-03-18' as date) + 90 days)
+and d_date_sk = ws_sold_date_sk
+and ws_ext_discount_amt
+ > (
+ SELECT
+ 1.3 * avg(ws_ext_discount_amt)
+ FROM
+ web_sales
+ ,date_dim
+ WHERE
+ ws_item_sk = i_item_sk
+ and d_date between '1998-03-18' and
+ (cast('1998-03-18' as date) + 90 days)
+ and d_date_sk = ws_sold_date_sk
+ )
+order by sum(ws_ext_discount_amt)
+limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+select
+ sum(ws_ext_discount_amt) as `Excess Discount Amount`
+from
+ web_sales
+ ,item
+ ,date_dim
+where
+i_manufact_id = 269
+and i_item_sk = ws_item_sk
+and d_date between '1998-03-18' and
+ (cast('1998-03-18' as date) + 90 days)
+and d_date_sk = ws_sold_date_sk
+and ws_ext_discount_amt
+ > (
+ SELECT
+ 1.3 * avg(ws_ext_discount_amt)
+ FROM
+ web_sales
+ ,date_dim
+ WHERE
+ ws_item_sk = i_item_sk
+ and d_date between '1998-03-18' and
+ (cast('1998-03-18' as date) + 90 days)
+ and d_date_sk = ws_sold_date_sk
+ )
+order by sum(ws_ext_discount_amt)
+limit 100
+POSTHOOK: type: QUERY
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (CUSTOM_SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
+Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Map 10 (SIMPLE_EDGE), Reducer 7 (ONE_TO_ONE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:-1
+ Stage-1
+ Reducer 5
+ File Output Operator [FS_43]
+ Limit [LIM_41] (rows=1 width=112)
+ Number of rows:100
+ Select Operator [SEL_40] (rows=1 width=112)
+ Output:["_col0"]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_39]
+ Select Operator [SEL_38] (rows=1 width=112)
+ Output:["_col1"]
+ Group By Operator [GBY_37] (rows=1 width=112)
+ Output:["_col0"],aggregations:["sum(VALUE._col0)"]
+ <-Reducer 3 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_36]
+ Group By Operator [GBY_35] (rows=1 width=112)
+ Output:["_col0"],aggregations:["sum(_col2)"]
+ Select Operator [SEL_34] (rows=58081078 width=135)
+ Output:["_col2"]
+ Filter Operator [FIL_33] (rows=58081078 width=135)
+ predicate:(_col2 > _col5)
+ Merge Join Operator [MERGEJOIN_64] (rows=174243235 width=135)
+ Conds:RS_30._col1=RS_31._col2(Inner),Output:["_col2","_col5"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_30]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_61] (rows=158402938 width=135)
+ Conds:RS_27._col0=RS_28._col0(Inner),Output:["_col1","_col2"]
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_27]
+ PartitionCols:_col0
+ Select Operator [SEL_2] (rows=144002668 width=135)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_56] (rows=144002668 width=135)
+ predicate:(ws_item_sk is not null and ws_sold_date_sk is not null)
+ TableScan [TS_0] (rows=144002668 width=135)
+ default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_ext_discount_amt"]
+ <-Map 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_28]
+ PartitionCols:_col0
+ Select Operator [SEL_5] (rows=8116 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_57] (rows=8116 width=1119)
+ predicate:(CAST( d_date AS TIMESTAMP) BETWEEN 1998-03-18 00:00:00.0 AND 1998-06-16 01:00:00.0 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_date"]
+ <-Reducer 8 [SIMPLE_EDGE]
+ SHUFFLE [RS_31]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_63] (rows=87121617 width=135)
+ Conds:RS_23._col1=RS_24._col0(Inner),Output:["_col0","_col2"]
+ <-Map 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_24]
+ PartitionCols:_col0
+ Select Operator [SEL_22] (rows=231000 width=1436)
+ Output:["_col0"]
+ Filter Operator [FIL_60] (rows=231000 width=1436)
+ predicate:((i_manufact_id = 269) and i_item_sk is not null)
+ TableScan [TS_20] (rows=462000 width=1436)
+ default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_manufact_id"]
+ <-Reducer 7 [ONE_TO_ONE_EDGE]
+ FORWARD [RS_23]
+ PartitionCols:_col1
+ Select Operator [SEL_19] (rows=79201469 width=135)
+ Output:["_col0","_col1"]
+ Group By Operator [GBY_18] (rows=79201469 width=135)
+ Output:["_col0","_col1"],aggregations:["avg(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 6 [SIMPLE_EDGE]
+ SHUFFLE [RS_17]
+ PartitionCols:_col0
+ Group By Operator [GBY_16] (rows=158402938 width=135)
+ Output:["_col0","_col1"],aggregations:["avg(_col2)"],keys:_col1
+ Merge Join Operator [MERGEJOIN_62] (rows=158402938 width=135)
+ Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col1","_col2"]
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_12]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_2]
+ <-Map 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_13]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_5]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query93.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query93.q.out b/ql/src/test/results/clientpositive/perf/tez/query93.q.out
new file mode 100644
index 0000000..ca55d1c
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/query93.q.out
@@ -0,0 +1,98 @@
+PREHOOK: query: explain
+select ss_customer_sk
+ ,sum(act_sales) sumsales
+ from (select ss_item_sk
+ ,ss_ticket_number
+ ,ss_customer_sk
+ ,case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price
+ else (ss_quantity*ss_sales_price) end act_sales
+ from store_sales left outer join store_returns on (sr_item_sk = ss_item_sk
+ and sr_ticket_number = ss_ticket_number)
+ ,reason
+ where sr_reason_sk = r_reason_sk
+ and r_reason_desc = 'Did not like the warranty') t
+ group by ss_customer_sk
+ order by sumsales, ss_customer_sk
+limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+select ss_customer_sk
+ ,sum(act_sales) sumsales
+ from (select ss_item_sk
+ ,ss_ticket_number
+ ,ss_customer_sk
+ ,case when sr_return_quantity is not null then (ss_quantity-sr_return_quantity)*ss_sales_price
+ else (ss_quantity*ss_sales_price) end act_sales
+ from store_sales left outer join store_returns on (sr_item_sk = ss_item_sk
+ and sr_ticket_number = ss_ticket_number)
+ ,reason
+ where sr_reason_sk = r_reason_sk
+ and r_reason_desc = 'Did not like the warranty') t
+ group by ss_customer_sk
+ order by sumsales, ss_customer_sk
+limit 100
+POSTHOOK: type: QUERY
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE)
+Reducer 3 <- Map 7 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 5
+ File Output Operator [FS_24]
+ Limit [LIM_23] (rows=100 width=88)
+ Number of rows:100
+ Select Operator [SEL_22] (rows=316797606 width=88)
+ Output:["_col0","_col1"]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_21]
+ Group By Operator [GBY_19] (rows=316797606 width=88)
+ Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_18]
+ PartitionCols:_col0
+ Group By Operator [GBY_17] (rows=633595212 width=88)
+ Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0
+ Select Operator [SEL_15] (rows=633595212 width=88)
+ Output:["_col0","_col1"]
+ Merge Join Operator [MERGEJOIN_34] (rows=633595212 width=88)
+ Conds:RS_12._col0, _col2=RS_13._col0, _col2(Inner),Output:["_col3","_col7","_col9","_col10"]
+ <-Map 7 [SIMPLE_EDGE]
+ SHUFFLE [RS_13]
+ PartitionCols:_col0, _col2
+ Select Operator [SEL_8] (rows=575995635 width=88)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_32] (rows=575995635 width=88)
+ predicate:(ss_item_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_item_sk","ss_customer_sk","ss_ticket_number","ss_quantity","ss_sales_price"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_12]
+ PartitionCols:_col0, _col2
+ Merge Join Operator [MERGEJOIN_33] (rows=63350266 width=77)
+ Conds:RS_9._col1=RS_10._col0(Inner),Output:["_col0","_col2","_col3"]
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_9]
+ PartitionCols:_col1
+ Select Operator [SEL_2] (rows=57591150 width=77)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_30] (rows=57591150 width=77)
+ predicate:(sr_item_sk is not null and sr_reason_sk is not null and sr_ticket_number is not null)
+ TableScan [TS_0] (rows=57591150 width=77)
+ default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_item_sk","sr_reason_sk","sr_ticket_number","sr_return_quantity"]
+ <-Map 6 [SIMPLE_EDGE]
+ SHUFFLE [RS_10]
+ PartitionCols:_col0
+ Select Operator [SEL_5] (rows=36 width=200)
+ Output:["_col0"]
+ Filter Operator [FIL_31] (rows=36 width=200)
+ predicate:((r_reason_desc = 'Did not like the warranty') and r_reason_sk is not null)
+ TableScan [TS_3] (rows=72 width=200)
+ default@reason,reason,Tbl:COMPLETE,Col:NONE,Output:["r_reason_sk","r_reason_desc"]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query94.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/query94.q.out b/ql/src/test/results/clientpositive/perf/tez/query94.q.out
new file mode 100644
index 0000000..8a9e5ca
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/query94.q.out
@@ -0,0 +1,188 @@
+PREHOOK: query: explain
+select
+ count(distinct ws_order_number) as `order count`
+ ,sum(ws_ext_ship_cost) as `total shipping cost`
+ ,sum(ws_net_profit) as `total net profit`
+from
+ web_sales ws1
+ ,date_dim
+ ,customer_address
+ ,web_site
+where
+ d_date between '1999-5-01' and
+ (cast('1999-5-01' as date) + 60 days)
+and ws1.ws_ship_date_sk = d_date_sk
+and ws1.ws_ship_addr_sk = ca_address_sk
+and ca_state = 'TX'
+and ws1.ws_web_site_sk = web_site_sk
+and web_company_name = 'pri'
+and exists (select *
+ from web_sales ws2
+ where ws1.ws_order_number = ws2.ws_order_number
+ and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
+and not exists(select *
+ from web_returns wr1
+ where ws1.ws_order_number = wr1.wr_order_number)
+order by count(distinct ws_order_number)
+limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+select
+ count(distinct ws_order_number) as `order count`
+ ,sum(ws_ext_ship_cost) as `total shipping cost`
+ ,sum(ws_net_profit) as `total net profit`
+from
+ web_sales ws1
+ ,date_dim
+ ,customer_address
+ ,web_site
+where
+ d_date between '1999-5-01' and
+ (cast('1999-5-01' as date) + 60 days)
+and ws1.ws_ship_date_sk = d_date_sk
+and ws1.ws_ship_addr_sk = ca_address_sk
+and ca_state = 'TX'
+and ws1.ws_web_site_sk = web_site_sk
+and web_company_name = 'pri'
+and exists (select *
+ from web_sales ws2
+ where ws1.ws_order_number = ws2.ws_order_number
+ and ws1.ws_warehouse_sk <> ws2.ws_warehouse_sk)
+and not exists(select *
+ from web_returns wr1
+ where ws1.ws_order_number = wr1.wr_order_number)
+order by count(distinct ws_order_number)
+limit 100
+POSTHOOK: type: QUERY
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 13 <- Map 12 (SIMPLE_EDGE)
+Reducer 15 <- Map 14 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
+Reducer 3 <- Map 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 11 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 13 (ONE_TO_ONE_EDGE), Reducer 15 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
+Reducer 7 <- Reducer 6 (CUSTOM_SIMPLE_EDGE)
+Reducer 8 <- Reducer 7 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:-1
+ Stage-1
+ Reducer 8
+ File Output Operator [FS_50]
+ Limit [LIM_48] (rows=1 width=344)
+ Number of rows:100
+ Select Operator [SEL_47] (rows=1 width=344)
+ Output:["_col0","_col1","_col2"]
+ <-Reducer 7 [SIMPLE_EDGE]
+ SHUFFLE [RS_46]
+ Select Operator [SEL_45] (rows=1 width=344)
+ Output:["_col1","_col2","_col3"]
+ Group By Operator [GBY_78] (rows=1 width=344)
+ Output:["_col0","_col1","_col2"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"]
+ <-Reducer 6 [CUSTOM_SIMPLE_EDGE]
+ PARTITION_ONLY_SHUFFLE [RS_77]
+ Group By Operator [GBY_76] (rows=1 width=344)
+ Output:["_col0","_col1","_col2"],aggregations:["count(_col0)","sum(_col1)","sum(_col2)"]
+ Group By Operator [GBY_75] (rows=210834322 width=135)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0
+ <-Reducer 5 [SIMPLE_EDGE]
+ SHUFFLE [RS_74]
+ PartitionCols:_col0
+ Group By Operator [GBY_73] (rows=210834322 width=135)
+ Output:["_col0","_col2","_col3"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col4
+ Select Operator [SEL_41] (rows=210834322 width=135)
+ Output:["_col4","_col5","_col6"]
+ Filter Operator [FIL_40] (rows=210834322 width=135)
+ predicate:_col16 is null
+ Select Operator [SEL_39] (rows=421668645 width=135)
+ Output:["_col4","_col5","_col6","_col16"]
+ Merge Join Operator [MERGEJOIN_82] (rows=421668645 width=135)
+ Conds:RS_35._col4=RS_36._col0(Left Outer),RS_35._col4=RS_37._col1(Inner),Output:["_col3","_col4","_col5","_col6","_col14","_col15"],residual filter predicates:{(_col3 <> _col15)}
+ <-Reducer 13 [ONE_TO_ONE_EDGE]
+ FORWARD [RS_36]
+ PartitionCols:_col0
+ Select Operator [SEL_18] (rows=7199233 width=92)
+ Output:["_col0","_col1"]
+ Group By Operator [GBY_17] (rows=7199233 width=92)
+ Output:["_col0"],keys:KEY._col0
+ <-Map 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_16]
+ PartitionCols:_col0
+ Group By Operator [GBY_15] (rows=14398467 width=92)
+ Output:["_col0"],keys:wr_order_number
+ Filter Operator [FIL_71] (rows=14398467 width=92)
+ predicate:wr_order_number is not null
+ TableScan [TS_12] (rows=14398467 width=92)
+ default@web_returns,wr1,Tbl:COMPLETE,Col:NONE,Output:["wr_order_number"]
+ <-Reducer 15 [SIMPLE_EDGE]
+ SHUFFLE [RS_37]
+ PartitionCols:_col1
+ Select Operator [SEL_25] (rows=72001334 width=135)
+ Output:["_col0","_col1"]
+ Group By Operator [GBY_24] (rows=72001334 width=135)
+ Output:["_col0","_col1"],keys:KEY._col0, KEY._col1
+ <-Map 14 [SIMPLE_EDGE]
+ SHUFFLE [RS_23]
+ PartitionCols:_col0, _col1
+ Group By Operator [GBY_22] (rows=144002668 width=135)
+ Output:["_col0","_col1"],keys:ws_order_number, ws_warehouse_sk
+ Filter Operator [FIL_72] (rows=144002668 width=135)
+ predicate:(ws_order_number is not null and ws_warehouse_sk is not null)
+ TableScan [TS_19] (rows=144002668 width=135)
+ default@web_sales,ws2,Tbl:COMPLETE,Col:NONE,Output:["ws_warehouse_sk","ws_order_number"]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_35]
+ PartitionCols:_col4
+ Merge Join Operator [MERGEJOIN_81] (rows=191667562 width=135)
+ Conds:RS_32._col2=RS_33._col0(Inner),Output:["_col3","_col4","_col5","_col6"]
+ <-Map 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_33]
+ PartitionCols:_col0
+ Select Operator [SEL_11] (rows=42 width=1850)
+ Output:["_col0"]
+ Filter Operator [FIL_70] (rows=42 width=1850)
+ predicate:((web_company_name = 'pri') and web_site_sk is not null)
+ TableScan [TS_9] (rows=84 width=1850)
+ default@web_site,web_site,Tbl:COMPLETE,Col:NONE,Output:["web_site_sk","web_company_name"]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_32]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_80] (rows=174243235 width=135)
+ Conds:RS_29._col1=RS_30._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6"]
+ <-Map 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_30]
+ PartitionCols:_col0
+ Select Operator [SEL_8] (rows=20000000 width=1014)
+ Output:["_col0"]
+ Filter Operator [FIL_69] (rows=20000000 width=1014)
+ predicate:((ca_state = 'TX') and ca_address_sk is not null)
+ TableScan [TS_6] (rows=40000000 width=1014)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_29]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_79] (rows=158402938 width=135)
+ Conds:RS_26._col0=RS_27._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6"]
+ <-Map 1 [SIMPLE_EDGE]
+ SHUFFLE [RS_26]
+ PartitionCols:_col0
+ Select Operator [SEL_2] (rows=144002668 width=135)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"]
+ Filter Operator [FIL_67] (rows=144002668 width=135)
+ predicate:(ws_ship_addr_sk is not null and ws_ship_date_sk is not null and ws_web_site_sk is not null)
+ TableScan [TS_0] (rows=144002668 width=135)
+ default@web_sales,ws1,Tbl:COMPLETE,Col:NONE,Output:["ws_ship_date_sk","ws_ship_addr_sk","ws_web_site_sk","ws_warehouse_sk","ws_order_number","ws_ext_ship_cost","ws_net_profit"]
+ <-Map 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_27]
+ PartitionCols:_col0
+ Select Operator [SEL_5] (rows=8116 width=1119)
+ Output:["_col0"]
+ Filter Operator [FIL_68] (rows=8116 width=1119)
+ predicate:(CAST( d_date AS TIMESTAMP) BETWEEN 1999-05-01 00:00:00.0 AND 1999-06-30 00:00:00.0 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_date"]
+