http://git-wip-us.apache.org/repos/asf/hive/blob/09b6f9a3/ql/src/test/results/clientpositive/perf/query26.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query26.q.out b/ql/src/test/results/clientpositive/perf/query26.q.out new file mode 100644 index 0000000..d364aec --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/query26.q.out @@ -0,0 +1,174 @@ +PREHOOK: query: explain select i_item_id, avg(cs_quantity) agg1, avg(cs_list_price) agg2, avg(cs_coupon_amt) agg3, avg(cs_sales_price) agg4 from catalog_sales, customer_demographics, date_dim, item, promotion where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk and catalog_sales.cs_item_sk = item.i_item_sk and catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk and catalog_sales.cs_promo_sk = promotion.p_promo_sk and cd_gender = 'F' and cd_marital_status = 'W' and cd_education_status = 'Primary' and (p_channel_email = 'N' or p_channel_event = 'N') and d_year = 1998 group by i_item_id order by i_item_id limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain select i_item_id, avg(cs_quantity) agg1, avg(cs_list_price) agg2, avg(cs_coupon_amt) agg3, avg(cs_sales_price) agg4 from catalog_sales, customer_demographics, date_dim, item, promotion where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk and catalog_sales.cs_item_sk = item.i_item_sk and catalog_sales.cs_bill_cdemo_sk = customer_demographics.cd_demo_sk and catalog_sales.cs_promo_sk = promotion.p_promo_sk and cd_gender = 'F' and cd_marital_status = 'W' and cd_education_status = 'Primary' and (p_channel_email = 'N' or p_channel_event = 'N') and d_year = 1998 group by i_item_id order by i_item_id limit 100 +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 <- Map 11 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 6 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 7 + File Output Operator [FS_43] + 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_42] + Number of rows:100 + Statistics:Num rows: 100 Data size: 143600 Basic stats: COMPLETE Column stats: NONE + Select Operator [SEL_41] + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4"] + | Statistics:Num rows: 279510 Data size: 401454093 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 6 [SIMPLE_EDGE] + Reduce Output Operator [RS_40] + key expressions:_col0 (type: string) + sort order:+ + Statistics:Num rows: 279510 Data size: 401454093 Basic stats: COMPLETE Column stats: NONE + value expressions:_col1 (type: double), _col2 (type: decimal(11,6)), _col3 (type: decimal(11,6)), _col4 (type: decimal(11,6)) + Group By Operator [GBY_38] + | aggregations:["avg(VALUE._col0)","avg(VALUE._col1)","avg(VALUE._col2)","avg(VALUE._col3)"] + | keys:KEY._col0 (type: string) + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4"] + | Statistics:Num rows: 279510 Data size: 401454093 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 5 [SIMPLE_EDGE] + Reduce Output Operator [RS_37] + key expressions:_col0 (type: string) + Map-reduce partition columns:_col0 (type: string) + sort order:+ + Statistics:Num rows: 559020 Data size: 802908187 Basic stats: COMPLETE Column stats: NONE + value expressions:_col1 (type: struct<count:bigint,sum:double,input:int>), _col2 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>), _col3 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>), _col4 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Group By Operator [GBY_36] + aggregations:["avg(_col4)","avg(_col5)","avg(_col7)","avg(_col6)"] + keys:_col15 (type: string) + outputColumnNames:["_col0","_col1","_col2","_col3","_col4"] + Statistics:Num rows: 559020 Data size: 802908187 Basic stats: COMPLETE Column stats: NONE + Select Operator [SEL_35] + outputColumnNames:["_col15","_col4","_col5","_col7","_col6"] + Statistics:Num rows: 559020 Data size: 802908187 Basic stats: COMPLETE Column stats: NONE + Merge Join Operator [MERGEJOIN_66] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col3 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col4","_col5","_col6","_col7","_col15"] + | Statistics:Num rows: 559020 Data size: 802908187 Basic stats: COMPLETE Column stats: NONE + |<-Map 11 [SIMPLE_EDGE] + | Reduce Output Operator [RS_33] + | 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_14] + | outputColumnNames:["_col0"] + | Statistics:Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_62] + | predicate:(((p_channel_email = 'N') or (p_channel_event = 'N')) and p_promo_sk is not null) (type: boolean) + | Statistics:Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_12] + | alias:promotion + | Statistics:Num rows: 2300 Data size: 2713420 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 4 [SIMPLE_EDGE] + Reduce Output Operator [RS_31] + key expressions:_col3 (type: int) + Map-reduce partition columns:_col3 (type: int) + sort order:+ + Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE + value expressions:_col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col15 (type: string) + Merge Join Operator [MERGEJOIN_65] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col2 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col3","_col4","_col5","_col6","_col7","_col15"] + | Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE + |<-Map 10 [SIMPLE_EDGE] + | Reduce Output Operator [RS_28] + | 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_11] + | outputColumnNames:["_col0","_col1"] + | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_61] + | predicate:i_item_sk is not null (type: boolean) + | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_9] + | alias:item + | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 3 [SIMPLE_EDGE] + Reduce Output Operator [RS_26] + key expressions:_col2 (type: int) + Map-reduce partition columns:_col2 (type: int) + sort order:+ + Statistics:Num rows: 40176 Data size: 44957392 Basic stats: COMPLETE Column stats: NONE + value expressions:_col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)) + Merge Join Operator [MERGEJOIN_64] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col0 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col2","_col3","_col4","_col5","_col6","_col7"] + | Statistics:Num rows: 40176 Data size: 44957392 Basic stats: COMPLETE Column stats: NONE + |<-Map 9 [SIMPLE_EDGE] + | Reduce Output Operator [RS_23] + | 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 + | Select Operator [SEL_8] + | outputColumnNames:["_col0"] + | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_60] + | predicate:((d_year = 1998) and d_date_sk is not null) (type: boolean) + | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_6] + | alias:date_dim + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 2 [SIMPLE_EDGE] + Reduce Output Operator [RS_21] + key expressions:_col0 (type: int) + Map-reduce partition columns:_col0 (type: int) + sort order:+ + Statistics:Num rows: 2722 Data size: 986020 Basic stats: COMPLETE Column stats: NONE + value expressions:_col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)) + Merge Join Operator [MERGEJOIN_63] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col1 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col0","_col2","_col3","_col4","_col5","_col6","_col7"] + | Statistics:Num rows: 2722 Data size: 986020 Basic stats: COMPLETE Column stats: NONE + |<-Map 1 [SIMPLE_EDGE] + | Reduce Output Operator [RS_16] + | 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), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)) + | 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_58] + | predicate:(((cs_bill_cdemo_sk is not null and cs_sold_date_sk is not null) and cs_item_sk is not null) and cs_promo_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 8 [SIMPLE_EDGE] + Reduce Output Operator [RS_18] + key expressions:_col0 (type: int) + Map-reduce partition columns:_col0 (type: int) + sort order:+ + Statistics:Num rows: 2475 Data size: 896382 Basic stats: COMPLETE Column stats: NONE + Select Operator [SEL_5] + outputColumnNames:["_col0"] + Statistics:Num rows: 2475 Data size: 896382 Basic stats: COMPLETE Column stats: NONE + Filter Operator [FIL_59] + predicate:((((cd_gender = 'F') and (cd_marital_status = 'W')) and (cd_education_status = 'Primary')) and cd_demo_sk is not null) (type: boolean) + Statistics:Num rows: 2475 Data size: 896382 Basic stats: COMPLETE Column stats: NONE + TableScan [TS_3] + alias:customer_demographics + Statistics:Num rows: 19800 Data size: 7171059 Basic stats: COMPLETE Column stats: NONE +
http://git-wip-us.apache.org/repos/asf/hive/blob/09b6f9a3/ql/src/test/results/clientpositive/perf/query27.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query27.q.out b/ql/src/test/results/clientpositive/perf/query27.q.out new file mode 100644 index 0000000..bf5d56e --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/query27.q.out @@ -0,0 +1,178 @@ +PREHOOK: query: explain select i_item_id, s_state, avg(ss_quantity) agg1, avg(ss_list_price) agg2, avg(ss_coupon_amt) agg3, avg(ss_sales_price) agg4 from store_sales, customer_demographics, date_dim, store, item where store_sales.ss_sold_date_sk = date_dim.d_date_sk and store_sales.ss_item_sk = item.i_item_sk and store_sales.ss_store_sk = store.s_store_sk and store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk and customer_demographics.cd_gender = 'F' and customer_demographics.cd_marital_status = 'D' and customer_demographics.cd_education_status = 'Unknown' and date_dim.d_year = 1998 and store.s_state in ('KS','AL', 'MN', 'AL', 'SC', 'VT') group by i_item_id, s_state order by i_item_id ,s_state limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain select i_item_id, s_state, avg(ss_quantity) agg1, avg(ss_list_price) agg2, avg(ss_coupon_amt) agg3, avg(ss_sales_price) agg4 from store_sales, customer_demographics, date_dim, store, item where store_sales.ss_sold_date_sk = date_dim.d_date_sk and store_sales.ss_item_sk = item.i_item_sk and store_sales.ss_store_sk = store.s_store_sk and store_sales.ss_cdemo_sk = customer_demographics.cd_demo_sk and customer_demographics.cd_gender = 'F' and customer_demographics.cd_marital_status = 'D' and customer_demographics.cd_education_status = 'Unknown' and date_dim.d_year = 1998 and store.s_state in ('KS','AL', 'MN', 'AL', 'SC', 'VT') group by i_item_id, s_state order by i_item_id ,s_state limit 100 +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 <- Map 11 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 6 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 7 + File Output Operator [FS_43] + 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_42] + Number of rows:100 + Statistics:Num rows: 100 Data size: 143600 Basic stats: COMPLETE Column stats: NONE + Select Operator [SEL_41] + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"] + | Statistics:Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 6 [SIMPLE_EDGE] + Reduce Output Operator [RS_40] + key expressions:_col0 (type: string), _col1 (type: string) + sort order:++ + Statistics:Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE + value expressions:_col2 (type: double), _col3 (type: decimal(11,6)), _col4 (type: decimal(11,6)), _col5 (type: decimal(11,6)) + Select Operator [SEL_39] + outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"] + Statistics:Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE + Group By Operator [GBY_38] + | aggregations:["avg(VALUE._col0)","avg(VALUE._col1)","avg(VALUE._col2)","avg(VALUE._col3)"] + | keys:KEY._col0 (type: string), KEY._col1 (type: string) + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"] + | Statistics:Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 5 [SIMPLE_EDGE] + Reduce Output Operator [RS_37] + key expressions:_col0 (type: string), _col1 (type: string) + Map-reduce partition columns:_col0 (type: string), _col1 (type: string) + sort order:++ + Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE + value expressions:_col2 (type: struct<count:bigint,sum:double,input:int>), _col3 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>), _col4 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>), _col5 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Group By Operator [GBY_36] + aggregations:["avg(_col4)","avg(_col5)","avg(_col7)","avg(_col6)"] + keys:_col15 (type: string), _col17 (type: string) + outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"] + Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE + Select Operator [SEL_35] + outputColumnNames:["_col15","_col17","_col4","_col5","_col7","_col6"] + Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE + Merge Join Operator [MERGEJOIN_66] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col1 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col4","_col5","_col6","_col7","_col15","_col17"] + | Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE + |<-Map 11 [SIMPLE_EDGE] + | Reduce Output Operator [RS_33] + | 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_14] + | outputColumnNames:["_col0","_col1"] + | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_62] + | predicate:i_item_sk is not null (type: boolean) + | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_12] + | alias:item + | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 4 [SIMPLE_EDGE] + Reduce Output Operator [RS_31] + key expressions:_col1 (type: int) + Map-reduce partition columns:_col1 (type: int) + sort order:+ + Statistics:Num rows: 44193 Data size: 49453132 Basic stats: COMPLETE Column stats: NONE + value expressions:_col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col15 (type: string) + Merge Join Operator [MERGEJOIN_65] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col3 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col1","_col4","_col5","_col6","_col7","_col15"] + | Statistics:Num rows: 44193 Data size: 49453132 Basic stats: COMPLETE Column stats: NONE + |<-Map 10 [SIMPLE_EDGE] + | Reduce Output Operator [RS_28] + | 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 + | value expressions:_col1 (type: string) + | Select Operator [SEL_11] + | outputColumnNames:["_col0","_col1"] + | Statistics:Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_61] + | predicate:((s_state) IN ('KS', 'AL', 'MN', 'AL', 'SC', 'VT') and s_store_sk is not null) (type: boolean) + | Statistics:Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_9] + | alias:store + | Statistics:Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 3 [SIMPLE_EDGE] + Reduce Output Operator [RS_26] + key expressions:_col3 (type: int) + Map-reduce partition columns:_col3 (type: int) + sort order:+ + Statistics:Num rows: 40176 Data size: 44957392 Basic stats: COMPLETE Column stats: NONE + value expressions:_col1 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)) + Merge Join Operator [MERGEJOIN_64] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col0 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col1","_col3","_col4","_col5","_col6","_col7"] + | Statistics:Num rows: 40176 Data size: 44957392 Basic stats: COMPLETE Column stats: NONE + |<-Map 9 [SIMPLE_EDGE] + | Reduce Output Operator [RS_23] + | 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 + | Select Operator [SEL_8] + | outputColumnNames:["_col0"] + | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + | Filter Operator [FIL_60] + | predicate:((d_year = 1998) and d_date_sk is not null) (type: boolean) + | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + | TableScan [TS_6] + | alias:date_dim + | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 2 [SIMPLE_EDGE] + Reduce Output Operator [RS_21] + key expressions:_col0 (type: int) + Map-reduce partition columns:_col0 (type: int) + sort order:+ + Statistics:Num rows: 2722 Data size: 986020 Basic stats: COMPLETE Column stats: NONE + value expressions:_col1 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)) + Merge Join Operator [MERGEJOIN_63] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{"0":"_col2 (type: int)","1":"_col0 (type: int)"} + | outputColumnNames:["_col0","_col1","_col3","_col4","_col5","_col6","_col7"] + | Statistics:Num rows: 2722 Data size: 986020 Basic stats: COMPLETE Column stats: NONE + |<-Map 1 [SIMPLE_EDGE] + | Reduce Output Operator [RS_16] + | key expressions:_col2 (type: int) + | Map-reduce partition columns:_col2 (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), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)) + | 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_58] + | predicate:(((ss_cdemo_sk is not null and ss_sold_date_sk is not null) and ss_store_sk is not null) and ss_item_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_18] + key expressions:_col0 (type: int) + Map-reduce partition columns:_col0 (type: int) + sort order:+ + Statistics:Num rows: 2475 Data size: 896382 Basic stats: COMPLETE Column stats: NONE + Select Operator [SEL_5] + outputColumnNames:["_col0"] + Statistics:Num rows: 2475 Data size: 896382 Basic stats: COMPLETE Column stats: NONE + Filter Operator [FIL_59] + predicate:((((cd_gender = 'F') and (cd_marital_status = 'D')) and (cd_education_status = 'Unknown')) and cd_demo_sk is not null) (type: boolean) + Statistics:Num rows: 2475 Data size: 896382 Basic stats: COMPLETE Column stats: NONE + TableScan [TS_3] + alias:customer_demographics + Statistics:Num rows: 19800 Data size: 7171059 Basic stats: COMPLETE Column stats: NONE + http://git-wip-us.apache.org/repos/asf/hive/blob/09b6f9a3/ql/src/test/results/clientpositive/perf/query28.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query28.q.out b/ql/src/test/results/clientpositive/perf/query28.q.out new file mode 100644 index 0000000..51ae16f --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/query28.q.out @@ -0,0 +1,357 @@ +Warning: Shuffle Join MERGEJOIN[76][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 3' is a cross product +Warning: Shuffle Join MERGEJOIN[77][tables = [$hdt$_0, $hdt$_1, $hdt$_2]] in Stage 'Reducer 4' is a cross product +Warning: Shuffle Join MERGEJOIN[78][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3]] in Stage 'Reducer 5' is a cross product +Warning: Shuffle Join MERGEJOIN[79][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4]] in Stage 'Reducer 6' is a cross product +Warning: Shuffle Join MERGEJOIN[80][tables = [$hdt$_0, $hdt$_1, $hdt$_2, $hdt$_3, $hdt$_4, $hdt$_5]] in Stage 'Reducer 7' is a cross product +PREHOOK: query: explain select * +from (select avg(ss_list_price) B1_LP + ,count(ss_list_price) B1_CNT + ,count(distinct ss_list_price) B1_CNTD + from store_sales + where ss_quantity between 0 and 5 + and (ss_list_price between 11 and 11+10 + or ss_coupon_amt between 460 and 460+1000 + or ss_wholesale_cost between 14 and 14+20)) B1, + (select avg(ss_list_price) B2_LP + ,count(ss_list_price) B2_CNT + ,count(distinct ss_list_price) B2_CNTD + from store_sales + where ss_quantity between 6 and 10 + and (ss_list_price between 91 and 91+10 + or ss_coupon_amt between 1430 and 1430+1000 + or ss_wholesale_cost between 32 and 32+20)) B2, + (select avg(ss_list_price) B3_LP + ,count(ss_list_price) B3_CNT + ,count(distinct ss_list_price) B3_CNTD + from store_sales + where ss_quantity between 11 and 15 + and (ss_list_price between 66 and 66+10 + or ss_coupon_amt between 920 and 920+1000 + or ss_wholesale_cost between 4 and 4+20)) B3, + (select avg(ss_list_price) B4_LP + ,count(ss_list_price) B4_CNT + ,count(distinct ss_list_price) B4_CNTD + from store_sales + where ss_quantity between 16 and 20 + and (ss_list_price between 142 and 142+10 + or ss_coupon_amt between 3054 and 3054+1000 + or ss_wholesale_cost between 80 and 80+20)) B4, + (select avg(ss_list_price) B5_LP + ,count(ss_list_price) B5_CNT + ,count(distinct ss_list_price) B5_CNTD + from store_sales + where ss_quantity between 21 and 25 + and (ss_list_price between 135 and 135+10 + or ss_coupon_amt between 14180 and 14180+1000 + or ss_wholesale_cost between 38 and 38+20)) B5, + (select avg(ss_list_price) B6_LP + ,count(ss_list_price) B6_CNT + ,count(distinct ss_list_price) B6_CNTD + from store_sales + where ss_quantity between 26 and 30 + and (ss_list_price between 28 and 28+10 + or ss_coupon_amt between 2513 and 2513+1000 + or ss_wholesale_cost between 42 and 42+20)) B6 +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain select * +from (select avg(ss_list_price) B1_LP + ,count(ss_list_price) B1_CNT + ,count(distinct ss_list_price) B1_CNTD + from store_sales + where ss_quantity between 0 and 5 + and (ss_list_price between 11 and 11+10 + or ss_coupon_amt between 460 and 460+1000 + or ss_wholesale_cost between 14 and 14+20)) B1, + (select avg(ss_list_price) B2_LP + ,count(ss_list_price) B2_CNT + ,count(distinct ss_list_price) B2_CNTD + from store_sales + where ss_quantity between 6 and 10 + and (ss_list_price between 91 and 91+10 + or ss_coupon_amt between 1430 and 1430+1000 + or ss_wholesale_cost between 32 and 32+20)) B2, + (select avg(ss_list_price) B3_LP + ,count(ss_list_price) B3_CNT + ,count(distinct ss_list_price) B3_CNTD + from store_sales + where ss_quantity between 11 and 15 + and (ss_list_price between 66 and 66+10 + or ss_coupon_amt between 920 and 920+1000 + or ss_wholesale_cost between 4 and 4+20)) B3, + (select avg(ss_list_price) B4_LP + ,count(ss_list_price) B4_CNT + ,count(distinct ss_list_price) B4_CNTD + from store_sales + where ss_quantity between 16 and 20 + and (ss_list_price between 142 and 142+10 + or ss_coupon_amt between 3054 and 3054+1000 + or ss_wholesale_cost between 80 and 80+20)) B4, + (select avg(ss_list_price) B5_LP + ,count(ss_list_price) B5_CNT + ,count(distinct ss_list_price) B5_CNTD + from store_sales + where ss_quantity between 21 and 25 + and (ss_list_price between 135 and 135+10 + or ss_coupon_amt between 14180 and 14180+1000 + or ss_wholesale_cost between 38 and 38+20)) B5, + (select avg(ss_list_price) B6_LP + ,count(ss_list_price) B6_CNT + ,count(distinct ss_list_price) B6_CNTD + from store_sales + where ss_quantity between 26 and 30 + and (ss_list_price between 28 and 28+10 + or ss_coupon_amt between 2513 and 2513+1000 + or ss_wholesale_cost between 42 and 42+20)) B6 +limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 11 <- Map 10 (SIMPLE_EDGE) +Reducer 13 <- Map 12 (SIMPLE_EDGE) +Reducer 15 <- Map 14 (SIMPLE_EDGE) +Reducer 17 <- Map 16 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE) +Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) +Reducer 4 <- Reducer 11 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 13 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 15 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 17 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE) +Reducer 9 <- Map 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 7 + File Output Operator [FS_64] + compressed:false + Statistics:Num rows: 1 Data size: 215 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_63] + Number of rows:100 + Statistics:Num rows: 1 Data size: 215 Basic stats: COMPLETE Column stats: NONE + Select Operator [SEL_62] + outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17"] + Statistics:Num rows: 1 Data size: 215 Basic stats: COMPLETE Column stats: NONE + Merge Join Operator [MERGEJOIN_80] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{} + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17"] + | Statistics:Num rows: 1 Data size: 215 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 17 [SIMPLE_EDGE] + | Reduce Output Operator [RS_60] + | sort order: + | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + | value expressions:_col0 (type: decimal(11,6)), _col1 (type: bigint), _col2 (type: bigint) + | Group By Operator [GBY_40] + | | aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(DISTINCT KEY._col0:0._col0)"] + | | outputColumnNames:["_col0","_col1","_col2"] + | | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + | |<-Map 16 [SIMPLE_EDGE] + | Reduce Output Operator [RS_39] + | key expressions:_col0 (type: decimal(7,2)) + | sort order:+ + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | value expressions:_col1 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>), _col2 (type: bigint) + | Group By Operator [GBY_38] + | aggregations:["avg(ss_list_price)","count(ss_list_price)","count(DISTINCT ss_list_price)"] + | keys:ss_list_price (type: decimal(7,2)) + | outputColumnNames:["_col0","_col1","_col2","_col3"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Select Operator [SEL_37] + | outputColumnNames:["ss_list_price"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Filter Operator [FIL_75] + | predicate:(ss_quantity BETWEEN 6 AND 10 and (ss_list_price BETWEEN 91 AND 101 or ss_coupon_amt BETWEEN 1430 AND 2430 or ss_wholesale_cost BETWEEN 32 AND 52)) (type: boolean) + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | TableScan [TS_35] + | alias:store_sales + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + |<-Reducer 6 [SIMPLE_EDGE] + Reduce Output Operator [RS_59] + sort order: + Statistics:Num rows: 1 Data size: 196 Basic stats: COMPLETE Column stats: NONE + value expressions:_col0 (type: decimal(11,6)), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(11,6)), _col4 (type: bigint), _col5 (type: bigint), _col6 (type: decimal(11,6)), _col7 (type: bigint), _col8 (type: bigint), _col9 (type: decimal(11,6)), _col10 (type: bigint), _col11 (type: bigint), _col12 (type: decimal(11,6)), _col13 (type: bigint), _col14 (type: bigint) + Merge Join Operator [MERGEJOIN_79] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{} + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"] + | Statistics:Num rows: 1 Data size: 196 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 15 [SIMPLE_EDGE] + | Reduce Output Operator [RS_57] + | sort order: + | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + | value expressions:_col0 (type: decimal(11,6)), _col1 (type: bigint), _col2 (type: bigint) + | Group By Operator [GBY_33] + | | aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(DISTINCT KEY._col0:0._col0)"] + | | outputColumnNames:["_col0","_col1","_col2"] + | | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + | |<-Map 14 [SIMPLE_EDGE] + | Reduce Output Operator [RS_32] + | key expressions:_col0 (type: decimal(7,2)) + | sort order:+ + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | value expressions:_col1 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>), _col2 (type: bigint) + | Group By Operator [GBY_31] + | aggregations:["avg(ss_list_price)","count(ss_list_price)","count(DISTINCT ss_list_price)"] + | keys:ss_list_price (type: decimal(7,2)) + | outputColumnNames:["_col0","_col1","_col2","_col3"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Select Operator [SEL_30] + | outputColumnNames:["ss_list_price"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Filter Operator [FIL_74] + | predicate:(ss_quantity BETWEEN 11 AND 15 and (ss_list_price BETWEEN 66 AND 76 or ss_coupon_amt BETWEEN 920 AND 1920 or ss_wholesale_cost BETWEEN 4 AND 24)) (type: boolean) + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | TableScan [TS_28] + | alias:store_sales + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + |<-Reducer 5 [SIMPLE_EDGE] + Reduce Output Operator [RS_56] + sort order: + Statistics:Num rows: 1 Data size: 179 Basic stats: COMPLETE Column stats: NONE + value expressions:_col0 (type: decimal(11,6)), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(11,6)), _col4 (type: bigint), _col5 (type: bigint), _col6 (type: decimal(11,6)), _col7 (type: bigint), _col8 (type: bigint), _col9 (type: decimal(11,6)), _col10 (type: bigint), _col11 (type: bigint) + Merge Join Operator [MERGEJOIN_78] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{} + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"] + | Statistics:Num rows: 1 Data size: 179 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 13 [SIMPLE_EDGE] + | Reduce Output Operator [RS_54] + | sort order: + | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + | value expressions:_col0 (type: decimal(11,6)), _col1 (type: bigint), _col2 (type: bigint) + | Group By Operator [GBY_26] + | | aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(DISTINCT KEY._col0:0._col0)"] + | | outputColumnNames:["_col0","_col1","_col2"] + | | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + | |<-Map 12 [SIMPLE_EDGE] + | Reduce Output Operator [RS_25] + | key expressions:_col0 (type: decimal(7,2)) + | sort order:+ + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | value expressions:_col1 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>), _col2 (type: bigint) + | Group By Operator [GBY_24] + | aggregations:["avg(ss_list_price)","count(ss_list_price)","count(DISTINCT ss_list_price)"] + | keys:ss_list_price (type: decimal(7,2)) + | outputColumnNames:["_col0","_col1","_col2","_col3"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Select Operator [SEL_23] + | outputColumnNames:["ss_list_price"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Filter Operator [FIL_73] + | predicate:(ss_quantity BETWEEN 16 AND 20 and (ss_list_price BETWEEN 142 AND 152 or ss_coupon_amt BETWEEN 3054 AND 4054 or ss_wholesale_cost BETWEEN 80 AND 100)) (type: boolean) + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | TableScan [TS_21] + | alias:store_sales + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + |<-Reducer 4 [SIMPLE_EDGE] + Reduce Output Operator [RS_53] + sort order: + Statistics:Num rows: 1 Data size: 163 Basic stats: COMPLETE Column stats: NONE + value expressions:_col0 (type: decimal(11,6)), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(11,6)), _col4 (type: bigint), _col5 (type: bigint), _col6 (type: decimal(11,6)), _col7 (type: bigint), _col8 (type: bigint) + Merge Join Operator [MERGEJOIN_77] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{} + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] + | Statistics:Num rows: 1 Data size: 163 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 11 [SIMPLE_EDGE] + | Reduce Output Operator [RS_51] + | sort order: + | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + | value expressions:_col0 (type: decimal(11,6)), _col1 (type: bigint), _col2 (type: bigint) + | Group By Operator [GBY_19] + | | aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(DISTINCT KEY._col0:0._col0)"] + | | outputColumnNames:["_col0","_col1","_col2"] + | | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + | |<-Map 10 [SIMPLE_EDGE] + | Reduce Output Operator [RS_18] + | key expressions:_col0 (type: decimal(7,2)) + | sort order:+ + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | value expressions:_col1 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>), _col2 (type: bigint) + | Group By Operator [GBY_17] + | aggregations:["avg(ss_list_price)","count(ss_list_price)","count(DISTINCT ss_list_price)"] + | keys:ss_list_price (type: decimal(7,2)) + | outputColumnNames:["_col0","_col1","_col2","_col3"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Select Operator [SEL_16] + | outputColumnNames:["ss_list_price"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Filter Operator [FIL_72] + | predicate:(ss_quantity BETWEEN 21 AND 25 and (ss_list_price BETWEEN 135 AND 145 or ss_coupon_amt BETWEEN 14180 AND 15180 or ss_wholesale_cost BETWEEN 38 AND 58)) (type: boolean) + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | TableScan [TS_14] + | alias:store_sales + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + |<-Reducer 3 [SIMPLE_EDGE] + Reduce Output Operator [RS_50] + sort order: + Statistics:Num rows: 1 Data size: 149 Basic stats: COMPLETE Column stats: NONE + value expressions:_col0 (type: decimal(11,6)), _col1 (type: bigint), _col2 (type: bigint), _col3 (type: decimal(11,6)), _col4 (type: bigint), _col5 (type: bigint) + Merge Join Operator [MERGEJOIN_76] + | condition map:[{"":"Inner Join 0 to 1"}] + | keys:{} + | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"] + | Statistics:Num rows: 1 Data size: 149 Basic stats: COMPLETE Column stats: NONE + |<-Reducer 2 [SIMPLE_EDGE] + | Reduce Output Operator [RS_47] + | sort order: + | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + | value expressions:_col0 (type: decimal(11,6)), _col1 (type: bigint), _col2 (type: bigint) + | Group By Operator [GBY_5] + | | aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(DISTINCT KEY._col0:0._col0)"] + | | outputColumnNames:["_col0","_col1","_col2"] + | | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + | |<-Map 1 [SIMPLE_EDGE] + | Reduce Output Operator [RS_4] + | key expressions:_col0 (type: decimal(7,2)) + | sort order:+ + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | value expressions:_col1 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>), _col2 (type: bigint) + | Group By Operator [GBY_3] + | aggregations:["avg(ss_list_price)","count(ss_list_price)","count(DISTINCT ss_list_price)"] + | keys:ss_list_price (type: decimal(7,2)) + | outputColumnNames:["_col0","_col1","_col2","_col3"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Select Operator [SEL_2] + | outputColumnNames:["ss_list_price"] + | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + | Filter Operator [FIL_70] + | predicate:(ss_quantity BETWEEN 0 AND 5 and (ss_list_price BETWEEN 11 AND 21 or ss_coupon_amt BETWEEN 460 AND 1460 or ss_wholesale_cost BETWEEN 14 AND 34)) (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 + |<-Reducer 9 [SIMPLE_EDGE] + Reduce Output Operator [RS_48] + sort order: + Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + value expressions:_col0 (type: decimal(11,6)), _col1 (type: bigint), _col2 (type: bigint) + Group By Operator [GBY_12] + | aggregations:["avg(VALUE._col0)","count(VALUE._col1)","count(DISTINCT KEY._col0:0._col0)"] + | outputColumnNames:["_col0","_col1","_col2"] + | Statistics:Num rows: 1 Data size: 136 Basic stats: COMPLETE Column stats: NONE + |<-Map 8 [SIMPLE_EDGE] + Reduce Output Operator [RS_11] + key expressions:_col0 (type: decimal(7,2)) + sort order:+ + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + value expressions:_col1 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>), _col2 (type: bigint) + Group By Operator [GBY_10] + aggregations:["avg(ss_list_price)","count(ss_list_price)","count(DISTINCT ss_list_price)"] + keys:ss_list_price (type: decimal(7,2)) + outputColumnNames:["_col0","_col1","_col2","_col3"] + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + Select Operator [SEL_9] + outputColumnNames:["ss_list_price"] + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + Filter Operator [FIL_71] + predicate:(ss_quantity BETWEEN 26 AND 30 and (ss_list_price BETWEEN 28 AND 38 or ss_coupon_amt BETWEEN 2513 AND 3513 or ss_wholesale_cost BETWEEN 42 AND 62)) (type: boolean) + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE + TableScan [TS_7] + alias:store_sales + Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE +