http://git-wip-us.apache.org/repos/asf/hive/blob/09b6f9a3/ql/src/test/results/clientpositive/perf/query72.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query72.q.out b/ql/src/test/results/clientpositive/perf/query72.q.out new file mode 100644 index 0000000..c56bffd --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/query72.q.out @@ -0,0 +1,352 @@ +PREHOOK: query: explain select i_item_desc ,w_warehouse_name ,d1.d_week_seq ,count(case when p_promo_sk is null then 1 else 0 end) no_promo ,count(case when p_promo_sk is not null then 1 else 0 end) promo ,count(*) total_cnt from catalog_sales join inventory on (catalog_sales.cs_item_sk = inventory.inv_item_sk) join warehouse on (warehouse.w_warehouse_sk=inventory.inv_warehouse_sk) join item on (item.i_item_sk = catalog_sales.cs_item_sk) join customer_demographics on (catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk) join household_demographics on (catalog_sales.cs_bill_hdemo_sk = household_demographics.hd_demo_sk) join date_dim d1 on (catalog_sales.cs_sold_date_sk = d1.d_date_sk) join date_dim d2 on (inventory.inv_date_sk = d2.d_date_sk) join date_dim d3 on (catalog_sales.cs_ship_date_sk = d3.d_date_sk) left outer join promotion on (catalog_sales.cs_promo_sk=promotion.p_promo_sk) left outer join catalog_returns on (catalog_returns.cr_item_sk = catalog_sales.cs_item _sk and catalog_returns.cr_order_number = catalog_sales.cs_order_number) where d1.d_week_seq = d2.d_week_seq and inv_quantity_on_hand < cs_quantity and d3.d_date > d1.d_date + 5 and hd_buy_potential = '1001-5000' and d1.d_year = 2001 and hd_buy_potential = '1001-5000' and cd_marital_status = 'M' and d1.d_year = 2001 group by i_item_desc,w_warehouse_name,d1.d_week_seq order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain select i_item_desc ,w_warehouse_name ,d1.d_week_seq ,count(case when p_promo_sk is null then 1 else 0 end) no_promo ,count(case when p_promo_sk is not null then 1 else 0 end) promo ,count(*) total_cnt from catalog_sales join inventory on (catalog_sales.cs_item_sk = inventory.inv_item_sk) join warehouse on (warehouse.w_warehouse_sk=inventory.inv_warehouse_sk) join item on (item.i_item_sk = catalog_sales.cs_item_sk) join customer_demographics on (catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk) join household_demographics on (catalog_sales.cs_bill_hdemo_sk = household_demographics.hd_demo_sk) join date_dim d1 on (catalog_sales.cs_sold_date_sk = d1.d_date_sk) join date_dim d2 on (inventory.inv_date_sk = d2.d_date_sk) join date_dim d3 on (catalog_sales.cs_ship_date_sk = d3.d_date_sk) left outer join promotion on (catalog_sales.cs_promo_sk=promotion.p_promo_sk) left outer join catalog_returns on (catalog_returns.cr_item_sk = catalog_sales.cs_ite m_sk and catalog_returns.cr_order_number = catalog_sales.cs_order_number) where d1.d_week_seq = d2.d_week_seq and inv_quantity_on_hand < cs_quantity and d3.d_date > d1.d_date + 5 and hd_buy_potential = '1001-5000' and d1.d_year = 2001 and hd_buy_potential = '1001-5000' and cd_marital_status = 'M' and d1.d_year = 2001 group by i_item_desc,w_warehouse_name,d1.d_week_seq order by total_cnt desc, i_item_desc, w_warehouse_name, d_week_seq limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Map 22 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) +Reducer 11 <- Map 23 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE) +Reducer 12 <- Reducer 11 (SIMPLE_EDGE) +Reducer 13 <- Reducer 12 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 14 (SIMPLE_EDGE) +Reducer 3 <- Map 15 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 16 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Map 17 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Map 18 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Map 19 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE) +Reducer 8 <- Map 20 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) +Reducer 9 <- Map 21 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 13 + File Output Operator [FS_90] + compressed:false + Statistics:Num rows: 100 Data size: 143600 Basic stats: COMPLETE Column stats: NONE + table:{"input format:":"org.apache.hadoop.mapred.TextInputFormat","output format:":"org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat","serde:":"org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"} + Limit [LIM_89] + Number of rows:100 + Statistics:Num rows: 100 Data size: 143600 Basic stats: COMPLETE Column stats: NONE + Select Operator [SEL_88] + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"] + | Statistics:Num rows: 165056 Data size: 237066834 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 12 [SIMPLE_EDGE] + Reduce Output Operator [RS_87] + key expressions:_col5 (type: bigint), _col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order:-+++ + Statistics:Num rows: 165056 Data size: 237066834 Basic stats: COMPLETE Column stats: NONE + value expressions:_col3 (type: bigint), _col4 (type: bigint) + Group By Operator [GBY_85] + | aggregations:["count(VALUE._col0)","count(VALUE._col1)","count(VALUE._col2)"] + | keys:KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int) + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"] + | Statistics:Num rows: 165056 Data size: 237066834 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 11 [SIMPLE_EDGE] + Reduce Output Operator [RS_84] + key expressions:_col0 (type: string), _col1 (type: string), _col2 (type: int) + Map-reduce partition columns:_col0 (type: string), _col1 (type: string), _col2 (type: int) + sort order:+++ + Statistics:Num rows: 330112 Data size: 474133669 Basic stats: COMPLETE Column stats: NONE + value expressions:_col3 (type: bigint), _col4 (type: bigint), _col5 (type: bigint) + Group By Operator [GBY_83] + aggregations:["count(_col3)","count(_col4)","count()"] + keys:_col0 (type: string), _col1 (type: string), _col2 (type: int) + outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"] + Statistics:Num rows: 330112 Data size: 474133669 Basic stats: COMPLETE Column stats: NONE + Select Operator [SEL_81] + outputColumnNames:["_col0","_col1","_col2","_col3","_col4"] + Statistics:Num rows: 330112 Data size: 474133669 Basic stats: COMPLETE Column stats: NONE + Merge Join Operator [MERGEJOIN_159] + | condition map:[{"":"Left Outer Join0 to 1"}] + | keys:{"0":"_col4 (type: int), _col6 (type: int)","1":"_col0 (type: int), _col1 (type: int)"} + | outputColumnNames:["_col13","_col15","_col22","_col28"] + | Statistics:Num rows: 330112 Data size: 474133669 Basic stats: COMPLETE Column stats: NONE + |<-Map 23 [SIMPLE_EDGE] + | Reduce Output Operator [RS_79] + | key expressions:_col0 (type: int), _col1 (type: int) + | Map-reduce partition columns:_col0 (type: int), _col1 (type: int) + | sort order:++ + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Select Operator [SEL_74] + | outputColumnNames:["_col0","_col1"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | TableScan [TS_73] + | alias:catalog_returns + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + |<-Reducer 10 [SIMPLE_EDGE] + Reduce Output Operator [RS_78] + key expressions:_col4 (type: int), _col6 (type: int) + Map-reduce partition columns:_col4 (type: int), _col6 (type: int) + sort order:++ + Statistics:Num rows: 300102 Data size: 431030599 Basic stats: COMPLETE Column stats: NONE + value expressions:_col13 (type: string), _col15 (type: string), _col22 (type: int), _col28 (type: int) + Merge Join Operator [MERGEJOIN_158] + | condition map:[{"":"Left Outer Join0 to 1"}] + | keys:{"0":"_col5 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col4","_col6","_col13","_col15","_col22","_col28"] + | Statistics:Num rows: 300102 Data size: 431030599 Basic stats: COMPLETE Column stats: NONE + |<-Map 22 [SIMPLE_EDGE] + | Reduce Output Operator [RS_76] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE + | Select Operator [SEL_72] + | outputColumnNames:["_col0"] + | Statistics:Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_71] + | alias:promotion + | Statistics:Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 9 [SIMPLE_EDGE] + Reduce Output Operator [RS_75] + key expressions:_col5 (type: int) + Map-reduce partition columns:_col5 (type: int) + sort order:+ + Statistics:Num rows: 272820 Data size: 391845991 Basic stats: COMPLETE Column stats: NONE + value expressions:_col4 (type: int), _col6 (type: int), _col13 (type: string), _col15 (type: string), _col22 (type: int) + Select Operator [SEL_70] + outputColumnNames:["_col13","_col15","_col22","_col4","_col5","_col6"] + Statistics:Num rows: 272820 Data size: 391845991 Basic stats: COMPLETE Column stats: NONE + Filter Operator [FIL_137] + predicate:(UDFToDouble(_col27) > (UDFToDouble(_col21) + 5.0)) (type: boolean) + Statistics:Num rows: 272820 Data size: 391845991 Basic stats: COMPLETE Column stats: NONE + Merge Join Operator [MERGEJOIN_157] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col1 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col4","_col5","_col6","_col13","_col15","_col21","_col22","_col27"] + | Statistics:Num rows: 818460 Data size: 1175537975 Basic stats: COMPLETE Column stats: NONE + |<-Map 21 [SIMPLE_EDGE] + | Reduce Output Operator [RS_67] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + | value expressions:_col1 (type: string) + | Select Operator [SEL_33] + | outputColumnNames:["_col0","_col1"] + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_147] + | predicate:d_date_sk is not null (type: boolean) + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_31] + | alias:d1 + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 8 [SIMPLE_EDGE] + Reduce Output Operator [RS_65] + key expressions:_col1 (type: int) + Map-reduce partition columns:_col1 (type: int) + sort order:+ + Statistics:Num rows: 744055 Data size: 1068670864 Basic stats: COMPLETE Column stats: NONE + value expressions:_col4 (type: int), _col5 (type: int), _col6 (type: int), _col13 (type: string), _col15 (type: string), _col21 (type: string), _col22 (type: int) + Merge Join Operator [MERGEJOIN_156] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col8 (type: int), _col22 (type: int)","1":"_col0 (type: int), _col1 (type: int)"} + | outputColumnNames:["_col1","_col4","_col5","_col6","_col13","_col15","_col21","_col22"] + | Statistics:Num rows: 744055 Data size: 1068670864 Basic stats: COMPLETE Column stats: NONE + |<-Map 20 [SIMPLE_EDGE] + | Reduce Output Operator [RS_62] + | key expressions:_col0 (type: int), _col1 (type: int) + | Map-reduce partition columns:_col0 (type: int), _col1 (type: int) + | sort order:++ + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + | Select Operator [SEL_30] + | outputColumnNames:["_col0","_col1"] + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_146] + | predicate:(d_week_seq is not null and d_date_sk is not null) (type: boolean) + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_28] + | alias:d1 + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 7 [SIMPLE_EDGE] + Reduce Output Operator [RS_60] + key expressions:_col8 (type: int), _col22 (type: int) + Map-reduce partition columns:_col8 (type: int), _col22 (type: int) + sort order:++ + Statistics:Num rows: 676414 Data size: 971518947 Basic stats: COMPLETE Column stats: NONE + value expressions:_col1 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col13 (type: string), _col15 (type: string), _col21 (type: string) + Merge Join Operator [MERGEJOIN_155] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col0 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col1","_col4","_col5","_col6","_col8","_col13","_col15","_col21","_col22"] + | Statistics:Num rows: 676414 Data size: 971518947 Basic stats: COMPLETE Column stats: NONE + |<-Map 19 [SIMPLE_EDGE] + | Reduce Output Operator [RS_57] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + | value expressions:_col1 (type: string), _col2 (type: int) + | Select Operator [SEL_27] + | outputColumnNames:["_col0","_col1","_col2"] + | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_145] + | predicate:((d_date_sk is not null and (d_year = 2001)) and d_week_seq is not null) (type: boolean) + | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_25] + | alias:d1 + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 6 [SIMPLE_EDGE] + Reduce Output Operator [RS_55] + key expressions:_col0 (type: int) + Map-reduce partition columns:_col0 (type: int) + sort order:+ + Statistics:Num rows: 614922 Data size: 883199024 Basic stats: COMPLETE Column stats: NONE + value expressions:_col1 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col8 (type: int), _col13 (type: string), _col15 (type: string) + Merge Join Operator [MERGEJOIN_154] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col3 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col0","_col1","_col4","_col5","_col6","_col8","_col13","_col15"] + | Statistics:Num rows: 614922 Data size: 883199024 Basic stats: COMPLETE Column stats: NONE + |<-Map 18 [SIMPLE_EDGE] + | Reduce Output Operator [RS_52] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE + | Select Operator [SEL_24] + | outputColumnNames:["_col0"] + | Statistics:Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_144] + | predicate:((hd_buy_potential = '1001-5000') and hd_demo_sk is not null) (type: boolean) + | Statistics:Num rows: 3600 Data size: 385200 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_22] + | alias:household_demographics + | Statistics:Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 5 [SIMPLE_EDGE] + Reduce Output Operator [RS_50] + key expressions:_col3 (type: int) + Map-reduce partition columns:_col3 (type: int) + sort order:+ + Statistics:Num rows: 559020 Data size: 802908187 Basic stats: COMPLETE Column stats: NONE + value expressions:_col0 (type: int), _col1 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col8 (type: int), _col13 (type: string), _col15 (type: string) + Merge Join Operator [MERGEJOIN_153] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col2 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col0","_col1","_col3","_col4","_col5","_col6","_col8","_col13","_col15"] + | Statistics:Num rows: 559020 Data size: 802908187 Basic stats: COMPLETE Column stats: NONE + |<-Map 17 [SIMPLE_EDGE] + | Reduce Output Operator [RS_47] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 9900 Data size: 3585529 Basic stats: COMPLETE Column stats: NONE + | Select Operator [SEL_21] + | outputColumnNames:["_col0"] + | Statistics:Num rows: 9900 Data size: 3585529 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_143] + | predicate:((cd_marital_status = 'M') and cd_demo_sk is not null) (type: boolean) + | Statistics:Num rows: 9900 Data size: 3585529 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_19] + | alias:customer_demographics + | Statistics:Num rows: 19800 Data size: 7171059 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 4 [SIMPLE_EDGE] + Reduce Output Operator [RS_45] + key expressions:_col2 (type: int) + Map-reduce partition columns:_col2 (type: int) + sort order:+ + Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE + value expressions:_col0 (type: int), _col1 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col8 (type: int), _col13 (type: string), _col15 (type: string) + Merge Join Operator [MERGEJOIN_152] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col4 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col8","_col13","_col15"] + | Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE + |<-Map 16 [SIMPLE_EDGE] + | Reduce Output Operator [RS_42] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + | value expressions:_col1 (type: string) + | Select Operator [SEL_18] + | outputColumnNames:["_col0","_col1"] + | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_142] + | predicate:i_item_sk is not null (type: boolean) + | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_16] + | alias:item + | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 3 [SIMPLE_EDGE] + Reduce Output Operator [RS_40] + key expressions:_col4 (type: int) + Map-reduce partition columns:_col4 (type: int) + sort order:+ + Statistics:Num rows: 29 Data size: 30582 Basic stats: COMPLETE Column stats: NONE + value expressions:_col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col5 (type: int), _col6 (type: int), _col8 (type: int), _col13 (type: string) + Merge Join Operator [MERGEJOIN_151] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col10 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col8","_col13"] + | Statistics:Num rows: 29 Data size: 30582 Basic stats: COMPLETE Column stats: NONE + |<-Map 15 [SIMPLE_EDGE] + | Reduce Output Operator [RS_37] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE + | value expressions:_col1 (type: string) + | Select Operator [SEL_15] + | outputColumnNames:["_col0","_col1"] + | Statistics:Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_141] + | predicate:w_warehouse_sk is not null (type: boolean) + | Statistics:Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_13] + | alias:warehouse + | Statistics:Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 2 [SIMPLE_EDGE] + Reduce Output Operator [RS_35] + key expressions:_col10 (type: int) + Map-reduce partition columns:_col10 (type: int) + sort order:+ + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + value expressions:_col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: int), _col8 (type: int) + Select Operator [SEL_12] + outputColumnNames:["_col0","_col1","_col10","_col2","_col3","_col4","_col5","_col6","_col8"] + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + Filter Operator [FIL_138] + predicate:(_col11 < _col7) (type: boolean) + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + Merge Join Operator [MERGEJOIN_150] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col4 (type: int)","1":"_col1 (type: int)"} + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col10","_col11"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + |<-Map 1 [SIMPLE_EDGE] + | Reduce Output Operator [RS_7] + | key expressions:_col4 (type: int) + | Map-reduce partition columns:_col4 (type: int) + | sort order:+ + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | value expressions:_col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: int), _col5 (type: int), _col6 (type: int), _col7 (type: int) + | Select Operator [SEL_2] + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Filter Operator [FIL_139] + | predicate:((((cs_item_sk is not null and cs_bill_cdemo_sk is not null) and cs_bill_hdemo_sk is not null) and cs_sold_date_sk is not null) and cs_ship_date_sk is not null) (type: boolean) + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | TableScan [TS_0] + | alias:catalog_sales + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + |<-Map 14 [SIMPLE_EDGE] + Reduce Output Operator [RS_9] + key expressions:_col1 (type: int) + Map-reduce partition columns:_col1 (type: int) + sort order:+ + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + value expressions:_col0 (type: int), _col2 (type: int), _col3 (type: int) + Select Operator [SEL_5] + outputColumnNames:["_col0","_col1","_col2","_col3"] + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + Filter Operator [FIL_140] + predicate:((inv_item_sk is not null and inv_warehouse_sk is not null) and inv_date_sk is not null) (type: boolean) + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + TableScan [TS_3] + alias:inventory + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE +
http://git-wip-us.apache.org/repos/asf/hive/blob/09b6f9a3/ql/src/test/results/clientpositive/perf/query73.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query73.q.out b/ql/src/test/results/clientpositive/perf/query73.q.out new file mode 100644 index 0000000..3ab3df5 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/query73.q.out @@ -0,0 +1,177 @@ +PREHOOK: query: explain select c_last_name ,c_first_name ,c_salutation ,c_preferred_cust_flag ,ss_ticket_number ,cnt from (select ss_ticket_number ,ss_customer_sk ,count(*) cnt from store_sales,date_dim,store,household_demographics where store_sales.ss_sold_date_sk = date_dim.d_date_sk and store_sales.ss_store_sk = store.s_store_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and date_dim.d_dom between 1 and 2 and (household_demographics.hd_buy_potential = '1001-5000' or household_demographics.hd_buy_potential = '5001-10000') and household_demographics.hd_vehicle_count > 0 and case when household_demographics.hd_vehicle_count > 0 then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1 and date_dim.d_year in (1998,1998+1,1998+2) and store.s_county in ('Kittitas County','Adams County','Richland County','Furnas County') group by ss_ticket_number,ss_customer_sk) dj,customer where dj.ss_customer_sk = customer.c_customer_sk an d cnt between 1 and 5 order by cnt desc +PREHOOK: type: QUERY +POSTHOOK: query: explain select c_last_name ,c_first_name ,c_salutation ,c_preferred_cust_flag ,ss_ticket_number ,cnt from (select ss_ticket_number ,ss_customer_sk ,count(*) cnt from store_sales,date_dim,store,household_demographics where store_sales.ss_sold_date_sk = date_dim.d_date_sk and store_sales.ss_store_sk = store.s_store_sk and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk and date_dim.d_dom between 1 and 2 and (household_demographics.hd_buy_potential = '1001-5000' or household_demographics.hd_buy_potential = '5001-10000') and household_demographics.hd_vehicle_count > 0 and case when household_demographics.hd_vehicle_count > 0 then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count else null end > 1 and date_dim.d_year in (1998,1998+1,1998+2) and store.s_county in ('Kittitas County','Adams County','Richland County','Furnas County') group by ss_ticket_number,ss_customer_sk) dj,customer where dj.ss_customer_sk = customer.c_customer_sk a nd cnt between 1 and 5 order by cnt desc +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) +Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 10 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Map 11 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 6 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:-1 + Stage-1 + Reducer 7 + File Output Operator [FS_45] + compressed:false + Statistics:Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + table:{"input format:":"org.apache.hadoop.mapred.TextInputFormat","output format:":"org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat","serde:":"org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe"} + Select Operator [SEL_44] + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"] + | Statistics:Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 6 [SIMPLE_EDGE] + Reduce Output Operator [RS_43] + key expressions:_col5 (type: bigint) + sort order:- + Statistics:Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + value expressions:_col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int) + Select Operator [SEL_42] + outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"] + Statistics:Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + Merge Join Operator [MERGEJOIN_69] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col1 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col0","_col2","_col4","_col5","_col6","_col7"] + | Statistics:Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + |<-Map 11 [SIMPLE_EDGE] + | Reduce Output Operator [RS_40] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + | value expressions:_col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string) + | Select Operator [SEL_36] + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4"] + | Statistics:Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_65] + | predicate:c_customer_sk is not null (type: boolean) + | Statistics:Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_34] + | alias:customer + | Statistics:Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 5 [SIMPLE_EDGE] + Reduce Output Operator [RS_38] + key expressions:_col1 (type: int) + Map-reduce partition columns:_col1 (type: int) + sort order:+ + Statistics:Num rows: 6076 Data size: 6799525 Basic stats: COMPLETE Column stats: NONE + value expressions:_col0 (type: int), _col2 (type: bigint) + Select Operator [SEL_31] + outputColumnNames:["_col0","_col1","_col2"] + Statistics:Num rows: 6076 Data size: 6799525 Basic stats: COMPLETE Column stats: NONE + Filter Operator [FIL_60] + predicate:_col2 BETWEEN 1 AND 5 (type: boolean) + Statistics:Num rows: 6076 Data size: 6799525 Basic stats: COMPLETE Column stats: NONE + Group By Operator [GBY_30] + | aggregations:["count(VALUE._col0)"] + | keys:KEY._col0 (type: int), KEY._col1 (type: int) + | outputColumnNames:["_col0","_col1","_col2"] + | Statistics:Num rows: 12152 Data size: 13599051 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 4 [SIMPLE_EDGE] + Reduce Output Operator [RS_29] + key expressions:_col0 (type: int), _col1 (type: int) + Map-reduce partition columns:_col0 (type: int), _col1 (type: int) + sort order:++ + Statistics:Num rows: 24305 Data size: 27199223 Basic stats: COMPLETE Column stats: NONE + value expressions:_col2 (type: bigint) + Group By Operator [GBY_28] + aggregations:["count()"] + keys:_col1 (type: int), _col4 (type: int) + outputColumnNames:["_col0","_col1","_col2"] + Statistics:Num rows: 24305 Data size: 27199223 Basic stats: COMPLETE Column stats: NONE + Merge Join Operator [MERGEJOIN_68] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col2 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col1","_col4"] + | Statistics:Num rows: 24305 Data size: 27199223 Basic stats: COMPLETE Column stats: NONE + |<-Map 10 [SIMPLE_EDGE] + | Reduce Output Operator [RS_25] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 800 Data size: 85600 Basic stats: COMPLETE Column stats: NONE + | Select Operator [SEL_11] + | outputColumnNames:["_col0"] + | Statistics:Num rows: 800 Data size: 85600 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_64] + | predicate:(((((hd_buy_potential = '1001-5000') or (hd_buy_potential = '5001-10000')) and (hd_vehicle_count > 0)) and (CASE WHEN ((hd_vehicle_count > 0)) THEN ((UDFToDouble(hd_dep_count) / UDFToDouble(hd_vehicle_count))) ELSE (null) END > 1.0)) and hd_demo_sk is not null) (type: boolean) + | Statistics:Num rows: 800 Data size: 85600 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_9] + | alias:household_demographics + | Statistics:Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 3 [SIMPLE_EDGE] + Reduce Output Operator [RS_23] + key expressions:_col2 (type: int) + Map-reduce partition columns:_col2 (type: int) + sort order:+ + Statistics:Num rows: 22096 Data size: 24726566 Basic stats: COMPLETE Column stats: NONE + value expressions:_col1 (type: int), _col4 (type: int) + Merge Join Operator [MERGEJOIN_67] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col3 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col1","_col2","_col4"] + | Statistics:Num rows: 22096 Data size: 24726566 Basic stats: COMPLETE Column stats: NONE + |<-Map 9 [SIMPLE_EDGE] + | Reduce Output Operator [RS_20] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE + | Select Operator [SEL_8] + | outputColumnNames:["_col0"] + | Statistics:Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_63] + | predicate:((s_county) IN ('Kittitas County', 'Adams County', 'Richland County', 'Furnas County') and s_store_sk is not null) (type: boolean) + | Statistics:Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_6] + | alias:store + | Statistics:Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 2 [SIMPLE_EDGE] + Reduce Output Operator [RS_18] + key expressions:_col3 (type: int) + Map-reduce partition columns:_col3 (type: int) + sort order:+ + Statistics:Num rows: 20088 Data size: 22478696 Basic stats: COMPLETE Column stats: NONE + value expressions:_col1 (type: int), _col2 (type: int), _col4 (type: int) + Merge Join Operator [MERGEJOIN_66] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col0 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col1","_col2","_col3","_col4"] + | Statistics:Num rows: 20088 Data size: 22478696 Basic stats: COMPLETE Column stats: NONE + |<-Map 1 [SIMPLE_EDGE] + | Reduce Output Operator [RS_13] + | key expressions:_col0 (type: int) + | Map-reduce partition columns:_col0 (type: int) + | sort order:+ + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | value expressions:_col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int) + | Select Operator [SEL_2] + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Filter Operator [FIL_61] + | predicate:(((ss_sold_date_sk is not null and ss_store_sk is not null) and ss_hdemo_sk is not null) and ss_customer_sk is not null) (type: boolean) + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | TableScan [TS_0] + | alias:store_sales + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + |<-Map 8 [SIMPLE_EDGE] + Reduce Output Operator [RS_15] + key expressions:_col0 (type: int) + Map-reduce partition columns:_col0 (type: int) + sort order:+ + Statistics:Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Select Operator [SEL_5] + outputColumnNames:["_col0"] + Statistics:Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Filter Operator [FIL_62] + predicate:(((d_year) IN (1998, 1999, 2000) and d_dom BETWEEN 1 AND 2) and d_date_sk is not null) (type: boolean) + Statistics:Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + TableScan [TS_3] + alias:date_dim + Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE +
