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Posted to commits@hive.apache.org by ha...@apache.org on 2015/12/15 23:15:49 UTC
[22/27] hive git commit: HIVE-11107 : Support for Performance
regression test suite with TPCDS (Hari Subramaniyan,
reviewed by Ashutosh Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/09b6f9a3/ql/src/test/results/clientpositive/perf/query26.q.out
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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
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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
+