http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query54.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query54.q.out b/ql/src/test/results/clientpositive/perf/tez/query54.q.out new file mode 100644 index 0000000..e6b9b28 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query54.q.out @@ -0,0 +1,386 @@ +Warning: Shuffle Join MERGEJOIN[184][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3]] in Stage 'Reducer 4' is a cross product +Warning: Shuffle Join MERGEJOIN[185][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4]] in Stage 'Reducer 5' is a cross product +Warning: Shuffle Join MERGEJOIN[183][tables = [$hdt$_1, $hdt$_2]] in Stage 'Reducer 30' is a cross product +Warning: Shuffle Join MERGEJOIN[186][tables = [$hdt$_1, $hdt$_2, $hdt$_0]] in Stage 'Reducer 6' is a cross product +PREHOOK: query: explain +with my_customers as ( + select distinct c_customer_sk + , c_current_addr_sk + from + ( select cs_sold_date_sk sold_date_sk, + cs_bill_customer_sk customer_sk, + cs_item_sk item_sk + from catalog_sales + union all + select ws_sold_date_sk sold_date_sk, + ws_bill_customer_sk customer_sk, + ws_item_sk item_sk + from web_sales + ) cs_or_ws_sales, + item, + date_dim, + customer + where sold_date_sk = d_date_sk + and item_sk = i_item_sk + and i_category = 'Jewelry' + and i_class = 'consignment' + and c_customer_sk = cs_or_ws_sales.customer_sk + and d_moy = 3 + and d_year = 1999 + ) + , my_revenue as ( + select c_customer_sk, + sum(ss_ext_sales_price) as revenue + from my_customers, + store_sales, + customer_address, + store, + date_dim + where c_current_addr_sk = ca_address_sk + and ca_county = s_county + and ca_state = s_state + and ss_sold_date_sk = d_date_sk + and c_customer_sk = ss_customer_sk + and d_month_seq between (select distinct d_month_seq+1 + from date_dim where d_year = 1999 and d_moy = 3) + and (select distinct d_month_seq+3 + from date_dim where d_year = 1999 and d_moy = 3) + group by c_customer_sk + ) + , segments as + (select cast((revenue/50) as int) as segment + from my_revenue + ) + select segment, count(*) as num_customers, segment*50 as segment_base + from segments + group by segment + order by segment, num_customers + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +with my_customers as ( + select distinct c_customer_sk + , c_current_addr_sk + from + ( select cs_sold_date_sk sold_date_sk, + cs_bill_customer_sk customer_sk, + cs_item_sk item_sk + from catalog_sales + union all + select ws_sold_date_sk sold_date_sk, + ws_bill_customer_sk customer_sk, + ws_item_sk item_sk + from web_sales + ) cs_or_ws_sales, + item, + date_dim, + customer + where sold_date_sk = d_date_sk + and item_sk = i_item_sk + and i_category = 'Jewelry' + and i_class = 'consignment' + and c_customer_sk = cs_or_ws_sales.customer_sk + and d_moy = 3 + and d_year = 1999 + ) + , my_revenue as ( + select c_customer_sk, + sum(ss_ext_sales_price) as revenue + from my_customers, + store_sales, + customer_address, + store, + date_dim + where c_current_addr_sk = ca_address_sk + and ca_county = s_county + and ca_state = s_state + and ss_sold_date_sk = d_date_sk + and c_customer_sk = ss_customer_sk + and d_month_seq between (select distinct d_month_seq+1 + from date_dim where d_year = 1999 and d_moy = 3) + and (select distinct d_month_seq+3 + from date_dim where d_year = 1999 and d_moy = 3) + group by c_customer_sk + ) + , segments as + (select cast((revenue/50) as int) as segment + from my_revenue + ) + select segment, count(*) as num_customers, segment*50 as segment_base + from segments + group by segment + order by segment, num_customers + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Map 15 <- Union 16 (CONTAINS) +Map 21 <- Union 16 (CONTAINS) +Reducer 12 <- Map 11 (SIMPLE_EDGE), Map 14 (SIMPLE_EDGE) +Reducer 13 <- Reducer 12 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE) +Reducer 17 <- Map 22 (SIMPLE_EDGE), Union 16 (SIMPLE_EDGE) +Reducer 18 <- Map 23 (SIMPLE_EDGE), Reducer 17 (SIMPLE_EDGE) +Reducer 19 <- Map 24 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 10 (SIMPLE_EDGE) +Reducer 20 <- Reducer 19 (SIMPLE_EDGE) +Reducer 26 <- Map 25 (SIMPLE_EDGE) +Reducer 27 <- Reducer 26 (CUSTOM_SIMPLE_EDGE) +Reducer 28 <- Map 25 (SIMPLE_EDGE) +Reducer 29 <- Map 25 (SIMPLE_EDGE) +Reducer 3 <- Reducer 13 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 30 <- Reducer 29 (CUSTOM_SIMPLE_EDGE), Reducer 32 (CUSTOM_SIMPLE_EDGE) +Reducer 31 <- Map 25 (SIMPLE_EDGE) +Reducer 32 <- Reducer 31 (CUSTOM_SIMPLE_EDGE) +Reducer 4 <- Reducer 27 (CUSTOM_SIMPLE_EDGE), Reducer 3 (CUSTOM_SIMPLE_EDGE) +Reducer 5 <- Reducer 28 (CUSTOM_SIMPLE_EDGE), Reducer 4 (CUSTOM_SIMPLE_EDGE) +Reducer 6 <- Reducer 30 (CUSTOM_SIMPLE_EDGE), Reducer 5 (CUSTOM_SIMPLE_EDGE) +Reducer 7 <- Reducer 6 (SIMPLE_EDGE) +Reducer 8 <- Reducer 7 (SIMPLE_EDGE) +Reducer 9 <- Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 9 + File Output Operator [FS_130] + Limit [LIM_129] (rows=100 width=158) + Number of rows:100 + Select Operator [SEL_128] (rows=1614130953450400 width=158) + Output:["_col0","_col1","_col2"] + <-Reducer 8 [SIMPLE_EDGE] + SHUFFLE [RS_127] + Select Operator [SEL_126] (rows=1614130953450400 width=158) + Output:["_col0","_col1","_col2"] + Group By Operator [GBY_125] (rows=1614130953450400 width=158) + Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0 + <-Reducer 7 [SIMPLE_EDGE] + SHUFFLE [RS_124] + PartitionCols:_col0 + Group By Operator [GBY_123] (rows=3228261906900801 width=158) + Output:["_col0","_col1"],aggregations:["count()"],keys:_col0 + Select Operator [SEL_121] (rows=3228261906900801 width=158) + Output:["_col0"] + Group By Operator [GBY_120] (rows=3228261906900801 width=158) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 6 [SIMPLE_EDGE] + SHUFFLE [RS_119] + PartitionCols:_col0 + Group By Operator [GBY_118] (rows=6456523813801603 width=158) + Output:["_col0","_col1"],aggregations:["sum(_col4)"],keys:_col0 + Select Operator [SEL_117] (rows=6456523813801603 width=158) + Output:["_col0","_col4"] + Filter Operator [FIL_116] (rows=6456523813801603 width=158) + predicate:_col11 BETWEEN _col13 AND _col15 + Select Operator [SEL_115] (rows=58108714324214428 width=158) + Output:["_col0","_col4","_col11","_col13","_col15"] + Merge Join Operator [MERGEJOIN_186] (rows=58108714324214428 width=158) + Conds:(Inner),Output:["_col0","_col2","_col6","_col13","_col15"] + <-Reducer 30 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_112] + Merge Join Operator [MERGEJOIN_183] (rows=9131 width=1128) + Conds:(Right Outer),Output:["_col0"] + <-Reducer 29 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_109] + Group By Operator [GBY_6] (rows=9131 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Map 25 [SIMPLE_EDGE] + SHUFFLE [RS_5] + PartitionCols:_col0 + Group By Operator [GBY_4] (rows=18262 width=1119) + Output:["_col0"],keys:_col0 + Select Operator [SEL_2] (rows=18262 width=1119) + Output:["_col0"] + Filter Operator [FIL_174] (rows=18262 width=1119) + predicate:((d_moy = 3) and (d_year = 1999)) + TableScan [TS_73] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_month_seq","d_year","d_moy"] + <-Reducer 32 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_110] + Select Operator [SEL_22] (rows=1 width=8) + Filter Operator [FIL_21] (rows=1 width=8) + predicate:(sq_count_check(_col0) <= 1) + Group By Operator [GBY_19] (rows=1 width=8) + Output:["_col0"],aggregations:["count(VALUE._col0)"] + <-Reducer 31 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_18] + Group By Operator [GBY_17] (rows=1 width=8) + Output:["_col0"],aggregations:["count()"] + Select Operator [SEL_15] (rows=9131 width=1119) + Group By Operator [GBY_14] (rows=9131 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Map 25 [SIMPLE_EDGE] + SHUFFLE [RS_13] + PartitionCols:_col0 + Group By Operator [GBY_12] (rows=18262 width=1119) + Output:["_col0"],keys:_col0 + Select Operator [SEL_10] (rows=18262 width=1119) + Output:["_col0"] + Please refer to the previous Filter Operator [FIL_174] + <-Reducer 5 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_113] + Select Operator [SEL_108] (rows=6363893803988 width=1217) + Output:["_col0","_col4","_col11","_col13"] + Merge Join Operator [MERGEJOIN_185] (rows=6363893803988 width=1217) + Conds:(Left Outer),Output:["_col2","_col4","_col10","_col13"] + <-Reducer 28 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_106] + Group By Operator [GBY_94] (rows=9131 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Map 25 [SIMPLE_EDGE] + SHUFFLE [RS_93] + PartitionCols:_col0 + Group By Operator [GBY_77] (rows=18262 width=1119) + Output:["_col0"],keys:_col0 + Select Operator [SEL_75] (rows=18262 width=1119) + Output:["_col0"] + Please refer to the previous Filter Operator [FIL_174] + <-Reducer 4 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_105] + Merge Join Operator [MERGEJOIN_184] (rows=696954748 width=97) + Conds:(Inner),Output:["_col2","_col4","_col10"] + <-Reducer 27 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_103] + Select Operator [SEL_87] (rows=1 width=8) + Filter Operator [FIL_86] (rows=1 width=8) + predicate:(sq_count_check(_col0) <= 1) + Group By Operator [GBY_84] (rows=1 width=8) + Output:["_col0"],aggregations:["count(VALUE._col0)"] + <-Reducer 26 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_83] + Group By Operator [GBY_82] (rows=1 width=8) + Output:["_col0"],aggregations:["count()"] + Select Operator [SEL_80] (rows=9131 width=1119) + Group By Operator [GBY_79] (rows=9131 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Map 25 [SIMPLE_EDGE] + SHUFFLE [RS_78] + PartitionCols:_col0 + Please refer to the previous Group By Operator [GBY_77] + <-Reducer 3 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_102] + Merge Join Operator [MERGEJOIN_182] (rows=696954748 width=88) + Conds:RS_99._col1=RS_100._col5(Inner),Output:["_col2","_col4","_col10"] + <-Reducer 13 [SIMPLE_EDGE] + SHUFFLE [RS_100] + PartitionCols:_col5 + Merge Join Operator [MERGEJOIN_181] (rows=316240138 width=135) + Conds:RS_69._col0=RS_70._col1(Inner),Output:["_col5"] + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_69] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_177] (rows=44000000 width=1014) + Conds:RS_66._col1, _col2=RS_67._col0, _col1(Inner),Output:["_col0"] + <-Map 11 [SIMPLE_EDGE] + SHUFFLE [RS_66] + PartitionCols:_col1, _col2 + Select Operator [SEL_31] (rows=40000000 width=1014) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_167] (rows=40000000 width=1014) + predicate:(ca_address_sk is not null and ca_county is not null and ca_state is not null) + TableScan [TS_29] (rows=40000000 width=1014) + default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_county","ca_state"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_67] + PartitionCols:_col0, _col1 + Select Operator [SEL_34] (rows=1704 width=1910) + Output:["_col0","_col1"] + Filter Operator [FIL_168] (rows=1704 width=1910) + predicate:(s_county is not null and s_state is not null) + TableScan [TS_32] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_county","s_state"] + <-Reducer 20 [SIMPLE_EDGE] + SHUFFLE [RS_70] + PartitionCols:_col1 + Select Operator [SEL_65] (rows=287491029 width=135) + Output:["_col0","_col1"] + Group By Operator [GBY_64] (rows=287491029 width=135) + Output:["_col0","_col1"],keys:KEY._col0, KEY._col1 + <-Reducer 19 [SIMPLE_EDGE] + SHUFFLE [RS_63] + PartitionCols:_col0, _col1 + Group By Operator [GBY_62] (rows=574982058 width=135) + Output:["_col0","_col1"],keys:_col10, _col9 + Merge Join Operator [MERGEJOIN_180] (rows=574982058 width=135) + Conds:RS_58._col1=RS_59._col0(Inner),Output:["_col9","_col10"] + <-Map 24 [SIMPLE_EDGE] + SHUFFLE [RS_59] + PartitionCols:_col0 + Select Operator [SEL_51] (rows=80000000 width=860) + Output:["_col0","_col1"] + Filter Operator [FIL_173] (rows=80000000 width=860) + predicate:(c_current_addr_sk is not null and c_customer_sk is not null) + TableScan [TS_49] (rows=80000000 width=860) + default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"] + <-Reducer 18 [SIMPLE_EDGE] + SHUFFLE [RS_58] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_179] (rows=522710951 width=135) + Conds:RS_55._col2=RS_56._col0(Inner),Output:["_col1"] + <-Map 23 [SIMPLE_EDGE] + SHUFFLE [RS_56] + PartitionCols:_col0 + Select Operator [SEL_48] (rows=115500 width=1436) + Output:["_col0"] + Filter Operator [FIL_172] (rows=115500 width=1436) + predicate:((i_category = 'Jewelry') and (i_class = 'consignment') and i_item_sk is not null) + TableScan [TS_46] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_class","i_category"] + <-Reducer 17 [SIMPLE_EDGE] + SHUFFLE [RS_55] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_178] (rows=475191764 width=135) + Conds:Union 16._col0=RS_53._col0(Inner),Output:["_col1","_col2"] + <-Map 22 [SIMPLE_EDGE] + SHUFFLE [RS_53] + PartitionCols:_col0 + Select Operator [SEL_45] (rows=18262 width=1119) + Output:["_col0"] + Filter Operator [FIL_171] (rows=18262 width=1119) + predicate:((d_moy = 3) and (d_year = 1999) and d_date_sk is not null) + TableScan [TS_43] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] + <-Union 16 [SIMPLE_EDGE] + <-Map 15 [CONTAINS] + Reduce Output Operator [RS_52] + PartitionCols:_col0 + Select Operator [SEL_37] (rows=287989836 width=135) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_169] (rows=287989836 width=135) + predicate:(cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_35] (rows=287989836 width=135) + Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk"] + <-Map 21 [CONTAINS] + Reduce Output Operator [RS_52] + PartitionCols:_col0 + Select Operator [SEL_40] (rows=144002668 width=135) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_170] (rows=144002668 width=135) + predicate:(ws_bill_customer_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_38] (rows=144002668 width=135) + Output:["ws_sold_date_sk","ws_item_sk","ws_bill_customer_sk"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_99] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_176] (rows=633595212 width=88) + Conds:RS_96._col0=RS_97._col0(Inner),Output:["_col1","_col2","_col4"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_96] + PartitionCols:_col0 + Select Operator [SEL_25] (rows=575995635 width=88) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_165] (rows=575995635 width=88) + predicate:(ss_customer_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_23] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk","ss_ext_sales_price"] + <-Map 10 [SIMPLE_EDGE] + SHUFFLE [RS_97] + PartitionCols:_col0 + Select Operator [SEL_28] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_166] (rows=73049 width=1119) + predicate:d_date_sk is not null + TableScan [TS_26] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_month_seq"] +
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query55.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query55.q.out b/ql/src/test/results/clientpositive/perf/tez/query55.q.out new file mode 100644 index 0000000..27ea1c3 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query55.q.out @@ -0,0 +1,88 @@ +PREHOOK: query: explain +select i_brand_id brand_id, i_brand brand, + sum(ss_ext_sales_price) ext_price + from date_dim, store_sales, item + where d_date_sk = ss_sold_date_sk + and ss_item_sk = i_item_sk + and i_manager_id=36 + and d_moy=12 + and d_year=2001 + group by i_brand, i_brand_id + order by ext_price desc, i_brand_id +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select i_brand_id brand_id, i_brand brand, + sum(ss_ext_sales_price) ext_price + from date_dim, store_sales, item + where d_date_sk = ss_sold_date_sk + and ss_item_sk = i_item_sk + and i_manager_id=36 + and d_moy=12 + and d_year=2001 + group by i_brand, i_brand_id + order by ext_price desc, i_brand_id +limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +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=348477374 width=88) + Output:["_col0","_col1","_col2"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_21] + Group By Operator [GBY_18] (rows=348477374 width=88) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1 + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_17] + PartitionCols:_col0, _col1 + Group By Operator [GBY_16] (rows=696954748 width=88) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col2)"],keys:_col7, _col8 + Merge Join Operator [MERGEJOIN_34] (rows=696954748 width=88) + Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col2","_col7","_col8"] + <-Map 7 [SIMPLE_EDGE] + SHUFFLE [RS_13] + PartitionCols:_col0 + Select Operator [SEL_8] (rows=231000 width=1436) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_32] (rows=231000 width=1436) + predicate:((i_manager_id = 36) and i_item_sk is not null) + TableScan [TS_6] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_brand","i_manager_id"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_12] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_33] (rows=633595212 width=88) + Conds:RS_9._col0=RS_10._col0(Inner),Output:["_col1","_col2"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_9] + PartitionCols:_col0 + Select Operator [SEL_2] (rows=575995635 width=88) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_30] (rows=575995635 width=88) + predicate:(ss_item_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_0] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_ext_sales_price"] + <-Map 6 [SIMPLE_EDGE] + SHUFFLE [RS_10] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=18262 width=1119) + Output:["_col0"] + Filter Operator [FIL_31] (rows=18262 width=1119) + predicate:((d_moy = 12) and (d_year = 2001) 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/query56.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query56.q.out b/ql/src/test/results/clientpositive/perf/tez/query56.q.out new file mode 100644 index 0000000..4041740 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query56.q.out @@ -0,0 +1,379 @@ +PREHOOK: query: explain +with ss as ( + select i_item_id,sum(ss_ext_sales_price) total_sales + from + store_sales, + date_dim, + customer_address, + item + where i_item_id in (select + i_item_id +from item +where i_color in ('orchid','chiffon','lace')) + and ss_item_sk = i_item_sk + and ss_sold_date_sk = d_date_sk + and d_year = 2000 + and d_moy = 1 + and ss_addr_sk = ca_address_sk + and ca_gmt_offset = -8 + group by i_item_id), + cs as ( + select i_item_id,sum(cs_ext_sales_price) total_sales + from + catalog_sales, + date_dim, + customer_address, + item + where + i_item_id in (select + i_item_id +from item +where i_color in ('orchid','chiffon','lace')) + and cs_item_sk = i_item_sk + and cs_sold_date_sk = d_date_sk + and d_year = 2000 + and d_moy = 1 + and cs_bill_addr_sk = ca_address_sk + and ca_gmt_offset = -8 + group by i_item_id), + ws as ( + select i_item_id,sum(ws_ext_sales_price) total_sales + from + web_sales, + date_dim, + customer_address, + item + where + i_item_id in (select + i_item_id +from item +where i_color in ('orchid','chiffon','lace')) + and ws_item_sk = i_item_sk + and ws_sold_date_sk = d_date_sk + and d_year = 2000 + and d_moy = 1 + and ws_bill_addr_sk = ca_address_sk + and ca_gmt_offset = -8 + group by i_item_id) + select i_item_id ,sum(total_sales) total_sales + from (select * from ss + union all + select * from cs + union all + select * from ws) tmp1 + group by i_item_id + order by total_sales + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +with ss as ( + select i_item_id,sum(ss_ext_sales_price) total_sales + from + store_sales, + date_dim, + customer_address, + item + where i_item_id in (select + i_item_id +from item +where i_color in ('orchid','chiffon','lace')) + and ss_item_sk = i_item_sk + and ss_sold_date_sk = d_date_sk + and d_year = 2000 + and d_moy = 1 + and ss_addr_sk = ca_address_sk + and ca_gmt_offset = -8 + group by i_item_id), + cs as ( + select i_item_id,sum(cs_ext_sales_price) total_sales + from + catalog_sales, + date_dim, + customer_address, + item + where + i_item_id in (select + i_item_id +from item +where i_color in ('orchid','chiffon','lace')) + and cs_item_sk = i_item_sk + and cs_sold_date_sk = d_date_sk + and d_year = 2000 + and d_moy = 1 + and cs_bill_addr_sk = ca_address_sk + and ca_gmt_offset = -8 + group by i_item_id), + ws as ( + select i_item_id,sum(ws_ext_sales_price) total_sales + from + web_sales, + date_dim, + customer_address, + item + where + i_item_id in (select + i_item_id +from item +where i_color in ('orchid','chiffon','lace')) + and ws_item_sk = i_item_sk + and ws_sold_date_sk = d_date_sk + and d_year = 2000 + and d_moy = 1 + and ws_bill_addr_sk = ca_address_sk + and ca_gmt_offset = -8 + group by i_item_id) + select i_item_id ,sum(total_sales) total_sales + from (select * from ss + union all + select * from cs + union all + select * from ws) tmp1 + group by i_item_id + order by total_sales + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Reducer 9 (SIMPLE_EDGE), Union 5 (CONTAINS) +Reducer 11 <- Map 1 (SIMPLE_EDGE), Reducer 17 (ONE_TO_ONE_EDGE) +Reducer 12 <- Reducer 11 (SIMPLE_EDGE), Reducer 25 (SIMPLE_EDGE) +Reducer 13 <- Reducer 12 (SIMPLE_EDGE), Union 5 (CONTAINS) +Reducer 15 <- Map 14 (SIMPLE_EDGE) +Reducer 16 <- Map 14 (SIMPLE_EDGE) +Reducer 17 <- Map 14 (SIMPLE_EDGE) +Reducer 19 <- Map 18 (SIMPLE_EDGE), Map 21 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 15 (ONE_TO_ONE_EDGE) +Reducer 20 <- Map 26 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE) +Reducer 22 <- Map 21 (SIMPLE_EDGE), Map 27 (SIMPLE_EDGE) +Reducer 23 <- Map 26 (SIMPLE_EDGE), Reducer 22 (SIMPLE_EDGE) +Reducer 24 <- Map 21 (SIMPLE_EDGE), Map 28 (SIMPLE_EDGE) +Reducer 25 <- Map 26 (SIMPLE_EDGE), Reducer 24 (SIMPLE_EDGE) +Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE) +Reducer 4 <- Reducer 3 (SIMPLE_EDGE), Union 5 (CONTAINS) +Reducer 6 <- Union 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 6 (SIMPLE_EDGE) +Reducer 8 <- Map 1 (SIMPLE_EDGE), Reducer 16 (ONE_TO_ONE_EDGE) +Reducer 9 <- Reducer 23 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 7 + File Output Operator [FS_121] + Limit [LIM_120] (rows=100 width=108) + Number of rows:100 + Select Operator [SEL_119] (rows=335408073 width=108) + Output:["_col0","_col1"] + <-Reducer 6 [SIMPLE_EDGE] + SHUFFLE [RS_118] + Group By Operator [GBY_116] (rows=335408073 width=108) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Union 5 [SIMPLE_EDGE] + <-Reducer 10 [CONTAINS] + Reduce Output Operator [RS_115] + PartitionCols:_col0 + Group By Operator [GBY_114] (rows=670816147 width=108) + Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 + Group By Operator [GBY_72] (rows=191657247 width=135) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_71] + PartitionCols:_col0 + Group By Operator [GBY_70] (rows=383314495 width=135) + Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1 + Merge Join Operator [MERGEJOIN_183] (rows=383314495 width=135) + Conds:RS_66._col0=RS_67._col4(Inner),Output:["_col1","_col8"] + <-Reducer 23 [SIMPLE_EDGE] + SHUFFLE [RS_67] + PartitionCols:_col4 + Select Operator [SEL_62] (rows=348467716 width=135) + Output:["_col4","_col5"] + Merge Join Operator [MERGEJOIN_178] (rows=348467716 width=135) + Conds:RS_59._col1=RS_60._col0(Inner),Output:["_col2","_col3"] + <-Map 26 [SIMPLE_EDGE] + SHUFFLE [RS_60] + PartitionCols:_col0 + Select Operator [SEL_18] (rows=20000000 width=1014) + Output:["_col0"] + Filter Operator [FIL_162] (rows=20000000 width=1014) + predicate:((ca_gmt_offset = -8) and ca_address_sk is not null) + TableScan [TS_16] (rows=40000000 width=1014) + default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_gmt_offset"] + <-Reducer 22 [SIMPLE_EDGE] + SHUFFLE [RS_59] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_177] (rows=316788826 width=135) + Conds:RS_56._col0=RS_57._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_57] + PartitionCols:_col0 + Select Operator [SEL_15] (rows=18262 width=1119) + Output:["_col0"] + Filter Operator [FIL_161] (rows=18262 width=1119) + predicate:((d_moy = 1) and (d_year = 2000) and d_date_sk is not null) + TableScan [TS_13] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] + <-Map 27 [SIMPLE_EDGE] + SHUFFLE [RS_56] + PartitionCols:_col0 + Select Operator [SEL_49] (rows=287989836 width=135) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_165] (rows=287989836 width=135) + predicate:(cs_bill_addr_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_47] (rows=287989836 width=135) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_addr_sk","cs_item_sk","cs_ext_sales_price"] + <-Reducer 8 [SIMPLE_EDGE] + SHUFFLE [RS_66] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_176] (rows=508200 width=1436) + Conds:RS_63._col1=RS_64._col0(Inner),Output:["_col0","_col1"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_63] + PartitionCols:_col1 + Select Operator [SEL_2] (rows=462000 width=1436) + Output:["_col0","_col1"] + Filter Operator [FIL_158] (rows=462000 width=1436) + predicate:(i_item_id is not null and i_item_sk is not null) + TableScan [TS_0] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"] + <-Reducer 16 [ONE_TO_ONE_EDGE] + FORWARD [RS_64] + PartitionCols:_col0 + Group By Operator [GBY_45] (rows=115500 width=1436) + Output:["_col0"],keys:KEY._col0 + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_44] + PartitionCols:_col0 + Group By Operator [GBY_6] (rows=231000 width=1436) + Output:["_col0"],keys:i_item_id + Select Operator [SEL_5] (rows=231000 width=1436) + Output:["i_item_id"] + Filter Operator [FIL_159] (rows=231000 width=1436) + predicate:((i_color) IN ('orchid', 'chiffon', 'lace') and i_item_id is not null) + TableScan [TS_3] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_id","i_color"] + <-Reducer 13 [CONTAINS] + Reduce Output Operator [RS_115] + PartitionCols:_col0 + Group By Operator [GBY_114] (rows=670816147 width=108) + Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 + Group By Operator [GBY_110] (rows=95833781 width=135) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_109] + PartitionCols:_col0 + Group By Operator [GBY_108] (rows=191667562 width=135) + Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1 + Merge Join Operator [MERGEJOIN_184] (rows=191667562 width=135) + Conds:RS_104._col0=RS_105._col3(Inner),Output:["_col1","_col8"] + <-Reducer 11 [SIMPLE_EDGE] + SHUFFLE [RS_104] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_179] (rows=508200 width=1436) + Conds:RS_101._col1=RS_102._col0(Inner),Output:["_col0","_col1"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_101] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_2] + <-Reducer 17 [ONE_TO_ONE_EDGE] + FORWARD [RS_102] + PartitionCols:_col0 + Group By Operator [GBY_83] (rows=115500 width=1436) + Output:["_col0"],keys:KEY._col0 + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_82] + PartitionCols:_col0 + Please refer to the previous Group By Operator [GBY_6] + <-Reducer 25 [SIMPLE_EDGE] + SHUFFLE [RS_105] + PartitionCols:_col3 + Select Operator [SEL_100] (rows=174243235 width=135) + Output:["_col3","_col5"] + Merge Join Operator [MERGEJOIN_181] (rows=174243235 width=135) + Conds:RS_97._col2=RS_98._col0(Inner),Output:["_col1","_col3"] + <-Map 26 [SIMPLE_EDGE] + SHUFFLE [RS_98] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_18] + <-Reducer 24 [SIMPLE_EDGE] + SHUFFLE [RS_97] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_180] (rows=158402938 width=135) + Conds:RS_94._col0=RS_95._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_95] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_15] + <-Map 28 [SIMPLE_EDGE] + SHUFFLE [RS_94] + PartitionCols:_col0 + Select Operator [SEL_87] (rows=144002668 width=135) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_170] (rows=144002668 width=135) + predicate:(ws_bill_addr_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_85] (rows=144002668 width=135) + default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_bill_addr_sk","ws_ext_sales_price"] + <-Reducer 4 [CONTAINS] + Reduce Output Operator [RS_115] + PartitionCols:_col0 + Group By Operator [GBY_114] (rows=670816147 width=108) + Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 + Group By Operator [GBY_35] (rows=383325119 width=88) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_34] + PartitionCols:_col0 + Group By Operator [GBY_33] (rows=766650239 width=88) + Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1 + Merge Join Operator [MERGEJOIN_182] (rows=766650239 width=88) + Conds:RS_29._col0=RS_30._col3(Inner),Output:["_col1","_col8"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_29] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_173] (rows=508200 width=1436) + Conds:RS_26._col1=RS_27._col0(Inner),Output:["_col0","_col1"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_26] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_2] + <-Reducer 15 [ONE_TO_ONE_EDGE] + FORWARD [RS_27] + PartitionCols:_col0 + Group By Operator [GBY_8] (rows=115500 width=1436) + Output:["_col0"],keys:KEY._col0 + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_7] + PartitionCols:_col0 + Please refer to the previous Group By Operator [GBY_6] + <-Reducer 20 [SIMPLE_EDGE] + SHUFFLE [RS_30] + PartitionCols:_col3 + Select Operator [SEL_25] (rows=696954748 width=88) + Output:["_col3","_col5"] + Merge Join Operator [MERGEJOIN_175] (rows=696954748 width=88) + Conds:RS_22._col2=RS_23._col0(Inner),Output:["_col1","_col3"] + <-Map 26 [SIMPLE_EDGE] + SHUFFLE [RS_23] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_18] + <-Reducer 19 [SIMPLE_EDGE] + SHUFFLE [RS_22] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_174] (rows=633595212 width=88) + Conds:RS_19._col0=RS_20._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_20] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_15] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_19] + PartitionCols:_col0 + Select Operator [SEL_12] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_160] (rows=575995635 width=88) + predicate:(ss_addr_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null) + TableScan [TS_10] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_addr_sk","ss_ext_sales_price"] + http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query57.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query57.q.out b/ql/src/test/results/clientpositive/perf/tez/query57.q.out new file mode 100644 index 0000000..1a1bbf1 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query57.q.out @@ -0,0 +1,319 @@ +PREHOOK: query: explain +with v1 as( + select i_category, i_brand, + cc_name, + d_year, d_moy, + sum(cs_sales_price) sum_sales, + avg(sum(cs_sales_price)) over + (partition by i_category, i_brand, + cc_name, d_year) + avg_monthly_sales, + rank() over + (partition by i_category, i_brand, + cc_name + order by d_year, d_moy) rn + from item, catalog_sales, date_dim, call_center + where cs_item_sk = i_item_sk and + cs_sold_date_sk = d_date_sk and + cc_call_center_sk= cs_call_center_sk and + ( + d_year = 2000 or + ( d_year = 2000-1 and d_moy =12) or + ( d_year = 2000+1 and d_moy =1) + ) + group by i_category, i_brand, + cc_name , d_year, d_moy), + v2 as( + select v1.i_category, v1.i_brand + ,v1.d_year, v1.d_moy + ,v1.avg_monthly_sales + ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum + from v1, v1 v1_lag, v1 v1_lead + where v1.i_category = v1_lag.i_category and + v1.i_category = v1_lead.i_category and + v1.i_brand = v1_lag.i_brand and + v1.i_brand = v1_lead.i_brand and + v1. cc_name = v1_lag. cc_name and + v1. cc_name = v1_lead. cc_name and + v1.rn = v1_lag.rn + 1 and + v1.rn = v1_lead.rn - 1) + select * + from v2 + where d_year = 2000 and + avg_monthly_sales > 0 and + case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1 + order by sum_sales - avg_monthly_sales, 3 + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +with v1 as( + select i_category, i_brand, + cc_name, + d_year, d_moy, + sum(cs_sales_price) sum_sales, + avg(sum(cs_sales_price)) over + (partition by i_category, i_brand, + cc_name, d_year) + avg_monthly_sales, + rank() over + (partition by i_category, i_brand, + cc_name + order by d_year, d_moy) rn + from item, catalog_sales, date_dim, call_center + where cs_item_sk = i_item_sk and + cs_sold_date_sk = d_date_sk and + cc_call_center_sk= cs_call_center_sk and + ( + d_year = 2000 or + ( d_year = 2000-1 and d_moy =12) or + ( d_year = 2000+1 and d_moy =1) + ) + group by i_category, i_brand, + cc_name , d_year, d_moy), + v2 as( + select v1.i_category, v1.i_brand + ,v1.d_year, v1.d_moy + ,v1.avg_monthly_sales + ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum + from v1, v1 v1_lag, v1 v1_lead + where v1.i_category = v1_lag.i_category and + v1.i_category = v1_lead.i_category and + v1.i_brand = v1_lag.i_brand and + v1.i_brand = v1_lead.i_brand and + v1. cc_name = v1_lag. cc_name and + v1. cc_name = v1_lead. cc_name and + v1.rn = v1_lag.rn + 1 and + v1.rn = v1_lead.rn - 1) + select * + from v2 + where d_year = 2000 and + avg_monthly_sales > 0 and + case when avg_monthly_sales > 0 then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1 + order by sum_sales - avg_monthly_sales, 3 + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Map 21 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) +Reducer 11 <- Map 22 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE) +Reducer 12 <- Reducer 11 (SIMPLE_EDGE) +Reducer 13 <- Reducer 12 (SIMPLE_EDGE) +Reducer 14 <- Map 1 (SIMPLE_EDGE), Map 20 (SIMPLE_EDGE) +Reducer 15 <- Map 21 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE) +Reducer 16 <- Map 22 (SIMPLE_EDGE), Reducer 15 (SIMPLE_EDGE) +Reducer 17 <- Reducer 16 (SIMPLE_EDGE) +Reducer 18 <- Reducer 17 (SIMPLE_EDGE) +Reducer 19 <- Reducer 18 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 20 (SIMPLE_EDGE) +Reducer 3 <- Map 21 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 22 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 13 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE) +Reducer 8 <- Reducer 7 (SIMPLE_EDGE) +Reducer 9 <- Map 1 (SIMPLE_EDGE), Map 20 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:-1 + Stage-1 + Reducer 8 + File Output Operator [FS_112] + Limit [LIM_110] (rows=100 width=135) + Number of rows:100 + Select Operator [SEL_109] (rows=421645952 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + <-Reducer 7 [SIMPLE_EDGE] + SHUFFLE [RS_108] + Select Operator [SEL_107] (rows=421645952 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] + Merge Join Operator [MERGEJOIN_189] (rows=421645952 width=135) + Conds:RS_103._col0, _col2, _col1, (_col6 + 1)=RS_104._col0, _col2, _col1, _col7(Inner),RS_104._col0, _col2, _col1, _col7=RS_105._col0, _col2, _col1, (_col6 - 1)(Inner),Output:["_col5","_col7","_col8","_col10","_col11","_col12","_col13","_col20"] + <-Reducer 13 [SIMPLE_EDGE] + SHUFFLE [RS_103] + PartitionCols:_col0, _col2, _col1, (_col6 + 1) + Select Operator [SEL_29] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col5","_col6"] + Filter Operator [FIL_164] (rows=191657247 width=135) + predicate:rank_window_0 is not null + PTF Operator [PTF_28] (rows=191657247 width=135) + Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col3 ASC NULLS FIRST, _col4 ASC NULLS FIRST","partition by:":"_col0, _col1, _col2"}] + Select Operator [SEL_27] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_26] + PartitionCols:_col0, _col1, _col2 + Select Operator [SEL_25] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Group By Operator [GBY_24] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4 + <-Reducer 11 [SIMPLE_EDGE] + SHUFFLE [RS_23] + PartitionCols:_col0, _col1, _col2, _col3, _col4 + Group By Operator [GBY_22] (rows=383314495 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col3)"],keys:_col5, _col6, _col8, _col10, _col11 + Merge Join Operator [MERGEJOIN_182] (rows=383314495 width=135) + Conds:RS_18._col2=RS_19._col0(Inner),Output:["_col3","_col5","_col6","_col8","_col10","_col11"] + <-Map 22 [SIMPLE_EDGE] + SHUFFLE [RS_19] + PartitionCols:_col0 + Select Operator [SEL_81] (rows=462000 width=1436) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_179] (rows=462000 width=1436) + predicate:(i_brand is not null and i_category is not null and i_item_sk is not null) + TableScan [TS_79] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand","i_category"] + <-Reducer 10 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_181] (rows=348467716 width=135) + Conds:RS_15._col1=RS_16._col0(Inner),Output:["_col2","_col3","_col5","_col6","_col8"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_16] + PartitionCols:_col0 + Select Operator [SEL_78] (rows=60 width=2045) + Output:["_col0","_col1"] + Filter Operator [FIL_178] (rows=60 width=2045) + predicate:(cc_call_center_sk is not null and cc_name is not null) + TableScan [TS_76] (rows=60 width=2045) + default@call_center,call_center,Tbl:COMPLETE,Col:NONE,Output:["cc_call_center_sk","cc_name"] + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_15] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_180] (rows=316788826 width=135) + Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col1","_col2","_col3","_col5","_col6"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_12] + PartitionCols:_col0 + Select Operator [SEL_72] (rows=287989836 width=135) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_176] (rows=287989836 width=135) + predicate:(cs_call_center_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) + TableScan [TS_70] (rows=287989836 width=135) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_call_center_sk","cs_item_sk","cs_sales_price"] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_13] + PartitionCols:_col0 + Select Operator [SEL_75] (rows=73048 width=1119) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_177] (rows=73048 width=1119) + predicate:(((d_year = 2000) or ((d_year = 1999) and (d_moy = 12)) or ((d_year = 2001) and (d_moy = 1))) and d_date_sk is not null) + TableScan [TS_73] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] + <-Reducer 19 [SIMPLE_EDGE] + SHUFFLE [RS_104] + PartitionCols:_col0, _col2, _col1, _col7 + Select Operator [SEL_67] (rows=15971437 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + Filter Operator [FIL_169] (rows=15971437 width=135) + predicate:CASE WHEN ((_col0 > 0)) THEN (((abs((_col6 - _col0)) / _col0) > 0.1)) ELSE (null) END + Select Operator [SEL_66] (rows=31942874 width=135) + Output:["rank_window_1","_col0","_col1","_col2","_col3","_col4","_col5","_col6"] + Filter Operator [FIL_170] (rows=31942874 width=135) + predicate:((_col0 > 0) and (_col4 = 2000) and rank_window_1 is not null) + PTF Operator [PTF_65] (rows=191657247 width=135) + Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col4 ASC NULLS FIRST, _col5 ASC NULLS FIRST","partition by:":"_col1, _col2, _col3"}] + Select Operator [SEL_64] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] + <-Reducer 18 [SIMPLE_EDGE] + SHUFFLE [RS_63] + PartitionCols:_col0, _col1, _col2 + Select Operator [SEL_62] (rows=191657247 width=135) + Output:["avg_window_0","_col0","_col1","_col2","_col3","_col4","_col5"] + PTF Operator [PTF_61] (rows=191657247 width=135) + Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col0 ASC NULLS FIRST, _col1 ASC NULLS FIRST, _col2 ASC NULLS FIRST, _col3 ASC NULLS FIRST","partition by:":"_col0, _col1, _col2, _col3"}] + Select Operator [SEL_60] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + <-Reducer 17 [SIMPLE_EDGE] + SHUFFLE [RS_59] + PartitionCols:_col0, _col1, _col2, _col3 + Select Operator [SEL_58] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Group By Operator [GBY_57] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4 + <-Reducer 16 [SIMPLE_EDGE] + SHUFFLE [RS_56] + PartitionCols:_col0, _col1, _col2, _col3, _col4 + Group By Operator [GBY_55] (rows=383314495 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col3)"],keys:_col5, _col6, _col8, _col10, _col11 + Merge Join Operator [MERGEJOIN_185] (rows=383314495 width=135) + Conds:RS_51._col2=RS_52._col0(Inner),Output:["_col3","_col5","_col6","_col8","_col10","_col11"] + <-Map 22 [SIMPLE_EDGE] + SHUFFLE [RS_52] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_81] + <-Reducer 15 [SIMPLE_EDGE] + SHUFFLE [RS_51] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_184] (rows=348467716 width=135) + Conds:RS_48._col1=RS_49._col0(Inner),Output:["_col2","_col3","_col5","_col6","_col8"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_49] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_78] + <-Reducer 14 [SIMPLE_EDGE] + SHUFFLE [RS_48] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_183] (rows=316788826 width=135) + Conds:RS_45._col0=RS_46._col0(Inner),Output:["_col1","_col2","_col3","_col5","_col6"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_45] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_72] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_46] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_75] + <-Reducer 6 [SIMPLE_EDGE] + SHUFFLE [RS_105] + PartitionCols:_col0, _col2, _col1, (_col6 - 1) + Select Operator [SEL_99] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col5","_col6"] + Filter Operator [FIL_175] (rows=191657247 width=135) + predicate:rank_window_0 is not null + PTF Operator [PTF_98] (rows=191657247 width=135) + Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col3 ASC NULLS FIRST, _col4 ASC NULLS FIRST","partition by:":"_col0, _col1, _col2"}] + Select Operator [SEL_97] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_96] + PartitionCols:_col0, _col1, _col2 + Select Operator [SEL_95] (rows=191657247 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Group By Operator [GBY_94] (rows=191657247 width=135) + 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_93] + PartitionCols:_col0, _col1, _col2, _col3, _col4 + Group By Operator [GBY_92] (rows=383314495 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col3)"],keys:_col5, _col6, _col8, _col10, _col11 + Merge Join Operator [MERGEJOIN_188] (rows=383314495 width=135) + Conds:RS_88._col2=RS_89._col0(Inner),Output:["_col3","_col5","_col6","_col8","_col10","_col11"] + <-Map 22 [SIMPLE_EDGE] + SHUFFLE [RS_89] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_81] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_88] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_187] (rows=348467716 width=135) + Conds:RS_85._col1=RS_86._col0(Inner),Output:["_col2","_col3","_col5","_col6","_col8"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_86] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_78] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_85] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_186] (rows=316788826 width=135) + Conds:RS_82._col0=RS_83._col0(Inner),Output:["_col1","_col2","_col3","_col5","_col6"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_82] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_72] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_83] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_75] +
