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Posted to commits@hive.apache.org by ha...@apache.org on 2015/12/15 23:15:51 UTC
[24/27] 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/query17.q.out
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diff --git a/ql/src/test/results/clientpositive/perf/query17.q.out b/ql/src/test/results/clientpositive/perf/query17.q.out
new file mode 100644
index 0000000..551ab62
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+PREHOOK: query: explain select i_item_id ,i_item_desc ,s_state ,count(ss_quantity) as store_sales_quantitycount ,avg(ss_quantity) as store_sales_quantityave ,stddev_samp(ss_quantity) as store_sales_quantitystdev ,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov ,count(sr_return_quantity) as_store_returns_quantitycount ,avg(sr_return_quantity) as_store_returns_quantityave ,stddev_samp(sr_return_quantity) as_store_returns_quantitystdev ,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov ,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitystdev ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov from store_sales ,store_returns ,catalog_sales ,date_dim d1 ,date_dim d2 ,date_dim d3 ,store ,item where d1.d_quarter_name = '2000Q1' and d1.d_date_sk = store_sales.ss_sold_date_sk and item.i_item_sk = store_s
ales.ss_item_sk and store.s_store_sk = store_sales.ss_store_sk and store_sales.ss_customer_sk = store_returns.sr_customer_sk and store_sales.ss_item_sk = store_returns.sr_item_sk and store_sales.ss_ticket_number = store_returns.sr_ticket_number and store_returns.sr_returned_date_sk = d2.d_date_sk and d2.d_quarter_name in ('2000Q1','2000Q2','2000Q3') and store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk and store_returns.sr_item_sk = catalog_sales.cs_item_sk and catalog_sales.cs_sold_date_sk = d3.d_date_sk and d3.d_quarter_name in ('2000Q1','2000Q2','2000Q3') group by i_item_id ,i_item_desc ,s_state order by i_item_id ,i_item_desc ,s_state limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain select i_item_id ,i_item_desc ,s_state ,count(ss_quantity) as store_sales_quantitycount ,avg(ss_quantity) as store_sales_quantityave ,stddev_samp(ss_quantity) as store_sales_quantitystdev ,stddev_samp(ss_quantity)/avg(ss_quantity) as store_sales_quantitycov ,count(sr_return_quantity) as_store_returns_quantitycount ,avg(sr_return_quantity) as_store_returns_quantityave ,stddev_samp(sr_return_quantity) as_store_returns_quantitystdev ,stddev_samp(sr_return_quantity)/avg(sr_return_quantity) as store_returns_quantitycov ,count(cs_quantity) as catalog_sales_quantitycount ,avg(cs_quantity) as catalog_sales_quantityave ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitystdev ,stddev_samp(cs_quantity)/avg(cs_quantity) as catalog_sales_quantitycov from store_sales ,store_returns ,catalog_sales ,date_dim d1 ,date_dim d2 ,date_dim d3 ,store ,item where d1.d_quarter_name = '2000Q1' and d1.d_date_sk = store_sales.ss_sold_date_sk and item.i_item_sk = store_
sales.ss_item_sk and store.s_store_sk = store_sales.ss_store_sk and store_sales.ss_customer_sk = store_returns.sr_customer_sk and store_sales.ss_item_sk = store_returns.sr_item_sk and store_sales.ss_ticket_number = store_returns.sr_ticket_number and store_returns.sr_returned_date_sk = d2.d_date_sk and d2.d_quarter_name in ('2000Q1','2000Q2','2000Q3') and store_returns.sr_customer_sk = catalog_sales.cs_bill_customer_sk and store_returns.sr_item_sk = catalog_sales.cs_item_sk and catalog_sales.cs_sold_date_sk = d3.d_date_sk and d3.d_quarter_name in ('2000Q1','2000Q2','2000Q3') group by i_item_id ,i_item_desc ,s_state order by i_item_id ,i_item_desc ,s_state limit 100
+POSTHOOK: type: QUERY
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 10 <- Reducer 9 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 11 (SIMPLE_EDGE)
+Reducer 3 <- Map 12 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 13 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Map 14 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Map 15 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
+Reducer 7 <- Map 16 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Map 17 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE)
+Reducer 9 <- Reducer 8 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 10
+ File Output Operator [FS_68]
+ 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_67]
+ Number of rows:100
+ Statistics:Num rows: 100 Data size: 143600 Basic stats: COMPLETE Column stats: NONE
+ Select Operator [SEL_66]
+ | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"]
+ | Statistics:Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 9 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_65]
+ key expressions:_col0 (type: string), _col1 (type: string), _col2 (type: string)
+ sort order:+++
+ Statistics:Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col3 (type: bigint), _col4 (type: double), _col5 (type: double), _col6 (type: double), _col7 (type: bigint), _col8 (type: double), _col9 (type: double), _col10 (type: double), _col11 (type: bigint), _col12 (type: double), _col13 (type: double)
+ Select Operator [SEL_63]
+ outputColumnNames:["_col0","_col1","_col10","_col11","_col12","_col13","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
+ Statistics:Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator [GBY_62]
+ | aggregations:["count(VALUE._col0)","avg(VALUE._col1)","stddev_samp(VALUE._col2)","count(VALUE._col3)","avg(VALUE._col4)","stddev_samp(VALUE._col5)","count(VALUE._col6)","avg(VALUE._col7)","stddev_samp(VALUE._col8)"]
+ | keys:KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string)
+ | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"]
+ | Statistics:Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 8 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_61]
+ key expressions:_col0 (type: string), _col1 (type: string), _col2 (type: string)
+ Map-reduce partition columns:_col0 (type: string), _col1 (type: string), _col2 (type: string)
+ sort order:+++
+ Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col3 (type: bigint), _col4 (type: struct<count:bigint,sum:double,input:int>), _col5 (type: struct<count:bigint,sum:double,variance:double>), _col6 (type: bigint), _col7 (type: struct<count:bigint,sum:double,input:int>), _col8 (type: struct<count:bigint,sum:double,variance:double>), _col9 (type: bigint), _col10 (type: struct<count:bigint,sum:double,input:int>), _col11 (type: struct<count:bigint,sum:double,variance:double>)
+ Group By Operator [GBY_60]
+ aggregations:["count(_col5)","avg(_col5)","stddev_samp(_col5)","count(_col10)","avg(_col10)","stddev_samp(_col10)","count(_col14)","avg(_col14)","stddev_samp(_col14)"]
+ keys:_col22 (type: string), _col24 (type: string), _col25 (type: string)
+ outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"]
+ Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
+ Select Operator [SEL_59]
+ outputColumnNames:["_col22","_col24","_col25","_col5","_col10","_col14"]
+ Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
+ Merge Join Operator [MERGEJOIN_118]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col1 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col5","_col10","_col14","_col22","_col24","_col25"]
+ | Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 17 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_57]
+ | 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), _col2 (type: string)
+ | Select Operator [SEL_23]
+ | outputColumnNames:["_col0","_col1","_col2"]
+ | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_111]
+ | predicate:i_item_sk is not null (type: boolean)
+ | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_21]
+ | alias:item
+ | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 7 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_55]
+ key expressions:_col1 (type: int)
+ Map-reduce partition columns:_col1 (type: int)
+ sort order:+
+ Statistics:Num rows: 53473 Data size: 59838291 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col5 (type: int), _col10 (type: int), _col14 (type: int), _col22 (type: string)
+ Merge Join Operator [MERGEJOIN_117]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col3 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col1","_col5","_col10","_col14","_col22"]
+ | Statistics:Num rows: 53473 Data size: 59838291 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 16 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_52]
+ | key expressions:_col0 (type: int)
+ | Map-reduce partition columns:_col0 (type: int)
+ | sort order:+
+ | Statistics:Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ | value expressions:_col1 (type: string)
+ | Select Operator [SEL_20]
+ | outputColumnNames:["_col0","_col1"]
+ | Statistics:Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_110]
+ | predicate:s_store_sk is not null (type: boolean)
+ | Statistics:Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_18]
+ | alias:store
+ | Statistics:Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 6 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_50]
+ key expressions:_col3 (type: int)
+ Map-reduce partition columns:_col3 (type: int)
+ sort order:+
+ Statistics:Num rows: 48612 Data size: 54398446 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col1 (type: int), _col5 (type: int), _col10 (type: int), _col14 (type: int)
+ Merge Join Operator [MERGEJOIN_116]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col11 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col1","_col3","_col5","_col10","_col14"]
+ | Statistics:Num rows: 48612 Data size: 54398446 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 15 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_47]
+ | 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_17]
+ | outputColumnNames:["_col0"]
+ | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_109]
+ | predicate:((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null) (type: boolean)
+ | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_15]
+ | alias:d1
+ | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 5 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_45]
+ key expressions:_col11 (type: int)
+ Map-reduce partition columns:_col11 (type: int)
+ sort order:+
+ Statistics:Num rows: 44193 Data size: 49453132 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col1 (type: int), _col3 (type: int), _col5 (type: int), _col10 (type: int), _col14 (type: int)
+ Merge Join Operator [MERGEJOIN_115]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col6 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col1","_col3","_col5","_col10","_col11","_col14"]
+ | Statistics:Num rows: 44193 Data size: 49453132 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 14 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_42]
+ | 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_14]
+ | outputColumnNames:["_col0"]
+ | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_108]
+ | predicate:((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null) (type: boolean)
+ | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_12]
+ | alias:d1
+ | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 4 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_40]
+ key expressions:_col6 (type: int)
+ Map-reduce partition columns:_col6 (type: int)
+ sort order:+
+ Statistics:Num rows: 40176 Data size: 44957392 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col1 (type: int), _col3 (type: int), _col5 (type: int), _col10 (type: int), _col11 (type: int), _col14 (type: int)
+ Merge Join Operator [MERGEJOIN_114]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col0 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col1","_col3","_col5","_col6","_col10","_col11","_col14"]
+ | Statistics:Num rows: 40176 Data size: 44957392 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 13 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_37]
+ | 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_11]
+ | outputColumnNames:["_col0"]
+ | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_107]
+ | predicate:((d_quarter_name = '2000Q1') and d_date_sk is not null) (type: boolean)
+ | Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_9]
+ | alias:d1
+ | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 3 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_35]
+ 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), _col3 (type: int), _col5 (type: int), _col6 (type: int), _col10 (type: int), _col11 (type: int), _col14 (type: int)
+ Merge Join Operator [MERGEJOIN_113]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col8 (type: int), _col7 (type: int)","1":"_col1 (type: int), _col2 (type: int)"}
+ | outputColumnNames:["_col0","_col1","_col3","_col5","_col6","_col10","_col11","_col14"]
+ | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ |<-Map 12 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_32]
+ | key expressions:_col1 (type: int), _col2 (type: int)
+ | Map-reduce partition columns:_col1 (type: int), _col2 (type: int)
+ | sort order:++
+ | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ | value expressions:_col0 (type: int), _col3 (type: int)
+ | Select Operator [SEL_8]
+ | outputColumnNames:["_col0","_col1","_col2","_col3"]
+ | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ | Filter Operator [FIL_106]
+ | predicate:((cs_item_sk is not null and cs_bill_customer_sk is not null) and cs_sold_date_sk is not null) (type: boolean)
+ | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ | TableScan [TS_6]
+ | alias:catalog_sales
+ | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ |<-Reducer 2 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_30]
+ key expressions:_col8 (type: int), _col7 (type: int)
+ Map-reduce partition columns:_col8 (type: int), _col7 (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), _col5 (type: int), _col6 (type: int), _col10 (type: int)
+ Merge Join Operator [MERGEJOIN_112]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col2 (type: int), _col1 (type: int), _col4 (type: int)","1":"_col2 (type: int), _col1 (type: int), _col3 (type: int)"}
+ | outputColumnNames:["_col0","_col1","_col3","_col5","_col6","_col7","_col8","_col10"]
+ | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ |<-Map 1 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_25]
+ | key expressions:_col2 (type: int), _col1 (type: int), _col4 (type: int)
+ | Map-reduce partition columns:_col2 (type: int), _col1 (type: int), _col4 (type: int)
+ | sort order:+++
+ | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ | value expressions:_col0 (type: int), _col3 (type: int), _col5 (type: int)
+ | Select Operator [SEL_2]
+ | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ | Filter Operator [FIL_104]
+ | predicate:((((ss_ticket_number is not null and ss_customer_sk is not null) and ss_item_sk is not null) and ss_sold_date_sk is not null) and ss_store_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 11 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_27]
+ key expressions:_col2 (type: int), _col1 (type: int), _col3 (type: int)
+ Map-reduce partition columns:_col2 (type: int), _col1 (type: int), _col3 (type: int)
+ sort order:+++
+ Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ value expressions:_col0 (type: int), _col4 (type: int)
+ Select Operator [SEL_5]
+ outputColumnNames:["_col0","_col1","_col2","_col3","_col4"]
+ Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ Filter Operator [FIL_105]
+ predicate:(((sr_ticket_number is not null and sr_customer_sk is not null) and sr_item_sk is not null) and sr_returned_date_sk is not null) (type: boolean)
+ Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ TableScan [TS_3]
+ alias:store_returns
+ 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/query18.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query18.q.out b/ql/src/test/results/clientpositive/perf/query18.q.out
new file mode 100644
index 0000000..4960466
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/query18.q.out
@@ -0,0 +1,236 @@
+PREHOOK: query: explain select i_item_id, ca_country, ca_state, ca_county, avg( cast(cs_quantity as decimal(12,2))) agg1, avg( cast(cs_list_price as decimal(12,2))) agg2, avg( cast(cs_coupon_amt as decimal(12,2))) agg3, avg( cast(cs_sales_price as decimal(12,2))) agg4, avg( cast(cs_net_profit as decimal(12,2))) agg5, avg( cast(c_birth_year as decimal(12,2))) agg6, avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7 from catalog_sales, date_dim, customer_demographics cd1, item, customer, customer_address, customer_demographics cd2 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 = cd1.cd_demo_sk and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk and cd1.cd_gender = 'M' and cd1.cd_education_status = 'College' and customer.c_current_cdemo_sk = cd2.cd_demo_sk and customer.c_current_addr_sk = customer_address.ca_address_sk and c_birth_month in (9,5,12,4,1,10) and d_year = 2001 and ca_state
in ('ND','WI','AL' ,'NC','OK','MS','TN') group by i_item_id, ca_country, ca_state, ca_county with rollup order by ca_country, ca_state, ca_county, i_item_id limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain select i_item_id, ca_country, ca_state, ca_county, avg( cast(cs_quantity as decimal(12,2))) agg1, avg( cast(cs_list_price as decimal(12,2))) agg2, avg( cast(cs_coupon_amt as decimal(12,2))) agg3, avg( cast(cs_sales_price as decimal(12,2))) agg4, avg( cast(cs_net_profit as decimal(12,2))) agg5, avg( cast(c_birth_year as decimal(12,2))) agg6, avg( cast(cd1.cd_dep_count as decimal(12,2))) agg7 from catalog_sales, date_dim, customer_demographics cd1, item, customer, customer_address, customer_demographics cd2 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 = cd1.cd_demo_sk and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk and cd1.cd_gender = 'M' and cd1.cd_education_status = 'College' and customer.c_current_cdemo_sk = cd2.cd_demo_sk and customer.c_current_addr_sk = customer_address.ca_address_sk and c_birth_month in (9,5,12,4,1,10) and d_year = 2001 and ca_stat
e in ('ND','WI','AL' ,'NC','OK','MS','TN') group by i_item_id, ca_country, ca_state, ca_county with rollup order by ca_country, ca_state, ca_county, i_item_id limit 100
+POSTHOOK: type: QUERY
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 10 (SIMPLE_EDGE)
+Reducer 3 <- Map 11 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 12 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Map 13 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Map 14 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
+Reducer 7 <- Map 15 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Reducer 7 (SIMPLE_EDGE)
+Reducer 9 <- Reducer 8 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 9
+ File Output Operator [FS_60]
+ compressed:false
+ Statistics:Num rows: 100 Data size: 86000 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_59]
+ Number of rows:100
+ Statistics:Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
+ Select Operator [SEL_58]
+ | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
+ | Statistics:Num rows: 133100005 Data size: 114468695810 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 8 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_57]
+ key expressions:_col1 (type: string), _col2 (type: string), _col3 (type: string), _col0 (type: string)
+ sort order:++++
+ Statistics:Num rows: 133100005 Data size: 114468695810 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col4 (type: decimal(16,6)), _col5 (type: decimal(16,6)), _col6 (type: decimal(16,6)), _col7 (type: decimal(16,6)), _col8 (type: decimal(16,6)), _col9 (type: decimal(16,6)), _col10 (type: decimal(16,6))
+ Select Operator [SEL_56]
+ outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
+ Statistics:Num rows: 133100005 Data size: 114468695810 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator [GBY_55]
+ | aggregations:["avg(VALUE._col0)","avg(VALUE._col1)","avg(VALUE._col2)","avg(VALUE._col3)","avg(VALUE._col4)","avg(VALUE._col5)","avg(VALUE._col6)"]
+ | keys:KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string)
+ | outputColumnNames:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8","_col9","_col10","_col11"]
+ | Statistics:Num rows: 133100005 Data size: 114468695810 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 7 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_54]
+ key expressions:_col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string)
+ Map-reduce partition columns:_col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string)
+ sort order:+++++
+ Statistics:Num rows: 266200010 Data size: 228937391620 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col5 (type: struct<count:bigint,sum:decimal(22,2),input:decimal(12,2)>), _col6 (type: struct<count:bigint,sum:decimal(22,2),input:decimal(12,2)>), _col7 (type: struct<count:bigint,sum:decimal(22,2),input:decimal(12,2)>), _col8 (type: struct<count:bigint,sum:decimal(22,2),input:decimal(12,2)>), _col9 (type: struct<count:bigint,sum:decimal(22,2),input:decimal(12,2)>), _col10 (type: struct<count:bigint,sum:decimal(22,2),input:decimal(12,2)>), _col11 (type: struct<count:bigint,sum:decimal(22,2),input:decimal(12,2)>)
+ Group By Operator [GBY_53]
+ aggregations:["avg(_col4)","avg(_col5)","avg(_col6)","avg(_col7)","avg(_col8)","avg(_col9)","avg(_col10)"]
+ keys:_col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), '0' (type: string)
+ outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"]
+ Statistics:Num rows: 266200010 Data size: 228937391620 Basic stats: COMPLETE Column stats: NONE
+ Select Operator [SEL_51]
+ outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
+ Statistics:Num rows: 53240002 Data size: 45787478324 Basic stats: COMPLETE Column stats: NONE
+ Merge Join Operator [MERGEJOIN_100]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col18 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col4","_col5","_col6","_col7","_col8","_col14","_col16","_col21","_col23","_col24","_col25"]
+ | Statistics:Num rows: 53240002 Data size: 45787478324 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 15 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_49]
+ | key expressions:_col0 (type: int)
+ | Map-reduce partition columns:_col0 (type: int)
+ | sort order:+
+ | Statistics:Num rows: 19800 Data size: 7171059 Basic stats: COMPLETE Column stats: NONE
+ | Select Operator [SEL_20]
+ | outputColumnNames:["_col0"]
+ | Statistics:Num rows: 19800 Data size: 7171059 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_94]
+ | predicate:cd_demo_sk is not null (type: boolean)
+ | Statistics:Num rows: 19800 Data size: 7171059 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_18]
+ | alias:cd1
+ | Statistics:Num rows: 19800 Data size: 7171059 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 6 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_47]
+ key expressions:_col18 (type: int)
+ Map-reduce partition columns:_col18 (type: int)
+ sort order:+
+ Statistics:Num rows: 48400001 Data size: 41624979393 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)), _col8 (type: decimal(7,2)), _col14 (type: int), _col16 (type: string), _col21 (type: int), _col23 (type: string), _col24 (type: string), _col25 (type: string)
+ Merge Join Operator [MERGEJOIN_99]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col19 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col4","_col5","_col6","_col7","_col8","_col14","_col16","_col18","_col21","_col23","_col24","_col25"]
+ | Statistics:Num rows: 48400001 Data size: 41624979393 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 14 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_44]
+ | key expressions:_col0 (type: int)
+ | Map-reduce partition columns:_col0 (type: int)
+ | sort order:+
+ | Statistics:Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
+ | value expressions:_col1 (type: string), _col2 (type: string), _col3 (type: string)
+ | Select Operator [SEL_17]
+ | outputColumnNames:["_col0","_col1","_col2","_col3"]
+ | Statistics:Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_93]
+ | predicate:((ca_state) IN ('ND', 'WI', 'AL', 'NC', 'OK', 'MS', 'TN') and ca_address_sk is not null) (type: boolean)
+ | Statistics:Num rows: 20000000 Data size: 20297597642 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_15]
+ | alias:customer_address
+ | Statistics:Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 5 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_42]
+ key expressions:_col19 (type: int)
+ Map-reduce partition columns:_col19 (type: int)
+ sort order:+
+ Statistics:Num rows: 44000000 Data size: 37840889538 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)), _col8 (type: decimal(7,2)), _col14 (type: int), _col16 (type: string), _col18 (type: int), _col21 (type: int)
+ Merge Join Operator [MERGEJOIN_98]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col1 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col4","_col5","_col6","_col7","_col8","_col14","_col16","_col18","_col19","_col21"]
+ | Statistics:Num rows: 44000000 Data size: 37840889538 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 13 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_39]
+ | key expressions:_col0 (type: int)
+ | Map-reduce partition columns:_col0 (type: int)
+ | sort order:+
+ | Statistics:Num rows: 40000000 Data size: 34400807926 Basic stats: COMPLETE Column stats: NONE
+ | value expressions:_col1 (type: int), _col2 (type: int), _col4 (type: int)
+ | Select Operator [SEL_14]
+ | outputColumnNames:["_col0","_col1","_col2","_col4"]
+ | Statistics:Num rows: 40000000 Data size: 34400807926 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_92]
+ | predicate:(((c_customer_sk is not null and (c_birth_month) IN (9, 5, 12, 4, 1, 10)) and c_current_addr_sk is not null) and c_current_cdemo_sk is not null) (type: boolean)
+ | Statistics:Num rows: 40000000 Data size: 34400807926 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_12]
+ | alias:customer
+ | Statistics:Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 4 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_37]
+ key expressions:_col1 (type: int)
+ Map-reduce partition columns:_col1 (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)), _col8 (type: decimal(7,2)), _col14 (type: int), _col16 (type: string)
+ Merge Join Operator [MERGEJOIN_97]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col3 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col1","_col4","_col5","_col6","_col7","_col8","_col14","_col16"]
+ | Statistics:Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 12 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_34]
+ | 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_91]
+ | 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_32]
+ key expressions:_col3 (type: int)
+ Map-reduce partition columns:_col3 (type: int)
+ sort order:+
+ Statistics:Num rows: 44193 Data size: 49453132 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)), _col8 (type: decimal(7,2)), _col14 (type: int)
+ Merge Join Operator [MERGEJOIN_96]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col2 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col14"]
+ | Statistics:Num rows: 44193 Data size: 49453132 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 11 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_29]
+ | key expressions:_col0 (type: int)
+ | Map-reduce partition columns:_col0 (type: int)
+ | sort order:+
+ | Statistics:Num rows: 4950 Data size: 1792764 Basic stats: COMPLETE Column stats: NONE
+ | value expressions:_col3 (type: int)
+ | Select Operator [SEL_8]
+ | outputColumnNames:["_col0","_col3"]
+ | Statistics:Num rows: 4950 Data size: 1792764 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_90]
+ | predicate:(((cd_gender = 'M') and (cd_education_status = 'College')) and cd_demo_sk is not null) (type: boolean)
+ | Statistics:Num rows: 4950 Data size: 1792764 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_6]
+ | alias:cd1
+ | Statistics:Num rows: 19800 Data size: 7171059 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 2 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_27]
+ 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:_col1 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col8 (type: decimal(7,2))
+ Merge Join Operator [MERGEJOIN_95]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col0 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ | Statistics:Num rows: 40176 Data size: 44957392 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 1 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_22]
+ | 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), _col5 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)), _col8 (type: decimal(7,2))
+ | Select Operator [SEL_2]
+ | outputColumnNames:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ | Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ | Filter Operator [FIL_88]
+ | predicate:(((cs_sold_date_sk is not null and cs_bill_cdemo_sk is not null) and cs_item_sk is not null) and cs_bill_customer_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 10 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_24]
+ 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_5]
+ outputColumnNames:["_col0"]
+ Statistics:Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator [FIL_89]
+ predicate:(d_date_sk is not null and (d_year = 2001)) (type: boolean)
+ Statistics:Num rows: 36524 Data size: 40870356 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
+
http://git-wip-us.apache.org/repos/asf/hive/blob/09b6f9a3/ql/src/test/results/clientpositive/perf/query19.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/query19.q.out b/ql/src/test/results/clientpositive/perf/query19.q.out
new file mode 100644
index 0000000..bf8dd21
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/query19.q.out
@@ -0,0 +1,207 @@
+PREHOOK: query: explain select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact, sum(ss_ext_sales_price) ext_price from date_dim, store_sales, item,customer,customer_address,store where date_dim.d_date_sk = store_sales.ss_sold_date_sk and store_sales.ss_item_sk = item.i_item_sk and i_manager_id=7 and d_moy=11 and d_year=1999 and store_sales.ss_customer_sk = customer.c_customer_sk and customer.c_current_addr_sk = customer_address.ca_address_sk and substr(ca_zip,1,5) <> substr(s_zip,1,5) and store_sales.ss_store_sk = store.s_store_sk group by i_brand ,i_brand_id ,i_manufact_id ,i_manufact order by ext_price desc ,i_brand ,i_brand_id ,i_manufact_id ,i_manufact limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact, sum(ss_ext_sales_price) ext_price from date_dim, store_sales, item,customer,customer_address,store where date_dim.d_date_sk = store_sales.ss_sold_date_sk and store_sales.ss_item_sk = item.i_item_sk and i_manager_id=7 and d_moy=11 and d_year=1999 and store_sales.ss_customer_sk = customer.c_customer_sk and customer.c_current_addr_sk = customer_address.ca_address_sk and substr(ca_zip,1,5) <> substr(s_zip,1,5) and store_sales.ss_store_sk = store.s_store_sk group by i_brand ,i_brand_id ,i_manufact_id ,i_manufact order by ext_price desc ,i_brand ,i_brand_id ,i_manufact_id ,i_manufact limit 100
+POSTHOOK: type: QUERY
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
+Reducer 3 <- Map 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 11 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Map 12 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Map 13 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
+Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Reducer 7 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 8
+ File Output Operator [FS_53]
+ compressed:false
+ Statistics:Num rows: 100 Data size: 86000 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_52]
+ Number of rows:100
+ Statistics:Num rows: 100 Data size: 86000 Basic stats: COMPLETE Column stats: NONE
+ Select Operator [SEL_51]
+ | outputColumnNames:["_col0","_col1","_col2","_col3","_col4"]
+ | Statistics:Num rows: 53240002 Data size: 45787477895 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 7 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_50]
+ key expressions:_col4 (type: decimal(17,2)), _col1 (type: string), _col0 (type: int), _col2 (type: int), _col3 (type: string)
+ sort order:-++++
+ Statistics:Num rows: 53240002 Data size: 45787477895 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator [GBY_47]
+ | aggregations:["sum(VALUE._col0)"]
+ | keys:KEY._col0 (type: int), KEY._col1 (type: string), KEY._col2 (type: int), KEY._col3 (type: string)
+ | outputColumnNames:["_col0","_col1","_col2","_col3","_col4"]
+ | Statistics:Num rows: 53240002 Data size: 45787477895 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 6 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_46]
+ key expressions:_col0 (type: int), _col1 (type: string), _col2 (type: int), _col3 (type: string)
+ Map-reduce partition columns:_col0 (type: int), _col1 (type: string), _col2 (type: int), _col3 (type: string)
+ sort order:++++
+ Statistics:Num rows: 106480005 Data size: 91574956652 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col4 (type: decimal(17,2))
+ Group By Operator [GBY_45]
+ aggregations:["sum(_col7)"]
+ keys:_col9 (type: int), _col10 (type: string), _col11 (type: int), _col12 (type: string)
+ outputColumnNames:["_col0","_col1","_col2","_col3","_col4"]
+ Statistics:Num rows: 106480005 Data size: 91574956652 Basic stats: COMPLETE Column stats: NONE
+ Select Operator [SEL_44]
+ outputColumnNames:["_col9","_col10","_col11","_col12","_col7"]
+ Statistics:Num rows: 106480005 Data size: 91574956652 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator [FIL_74]
+ predicate:(substr(_col17, 1, 5) <> substr(_col19, 1, 5)) (type: boolean)
+ Statistics:Num rows: 106480005 Data size: 91574956652 Basic stats: COMPLETE Column stats: NONE
+ Merge Join Operator [MERGEJOIN_85]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col6 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col7","_col9","_col10","_col11","_col12","_col17","_col19"]
+ | Statistics:Num rows: 106480005 Data size: 91574956652 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 13 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_41]
+ | key expressions:_col0 (type: int)
+ | Map-reduce partition columns:_col0 (type: int)
+ | sort order:+
+ | Statistics:Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ | value expressions:_col1 (type: string)
+ | Select Operator [SEL_17]
+ | outputColumnNames:["_col0","_col1"]
+ | Statistics:Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_80]
+ | predicate:s_store_sk is not null (type: boolean)
+ | Statistics:Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_15]
+ | alias:store
+ | Statistics:Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 5 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_39]
+ key expressions:_col6 (type: int)
+ Map-reduce partition columns:_col6 (type: int)
+ sort order:+
+ Statistics:Num rows: 96800003 Data size: 83249958789 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col7 (type: decimal(7,2)), _col9 (type: int), _col10 (type: string), _col11 (type: int), _col12 (type: string), _col17 (type: string)
+ Merge Join Operator [MERGEJOIN_84]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col15 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col6","_col7","_col9","_col10","_col11","_col12","_col17"]
+ | Statistics:Num rows: 96800003 Data size: 83249958789 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 12 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_36]
+ | key expressions:_col0 (type: int)
+ | Map-reduce partition columns:_col0 (type: int)
+ | sort order:+
+ | Statistics:Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ | value expressions:_col1 (type: string)
+ | Select Operator [SEL_14]
+ | outputColumnNames:["_col0","_col1"]
+ | Statistics:Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_79]
+ | predicate:ca_address_sk is not null (type: boolean)
+ | Statistics:Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_12]
+ | alias:customer_address
+ | Statistics:Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 4 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_34]
+ key expressions:_col15 (type: int)
+ Map-reduce partition columns:_col15 (type: int)
+ sort order:+
+ Statistics:Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col6 (type: int), _col7 (type: decimal(7,2)), _col9 (type: int), _col10 (type: string), _col11 (type: int), _col12 (type: string)
+ Merge Join Operator [MERGEJOIN_83]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col5 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col6","_col7","_col9","_col10","_col11","_col12","_col15"]
+ | Statistics:Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 11 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_31]
+ | 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: int)
+ | Select Operator [SEL_11]
+ | outputColumnNames:["_col0","_col1"]
+ | Statistics:Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_78]
+ | predicate:(c_customer_sk is not null and c_current_addr_sk is not null) (type: boolean)
+ | Statistics:Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_9]
+ | alias:customer
+ | Statistics:Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 3 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_29]
+ key expressions:_col5 (type: int)
+ Map-reduce partition columns:_col5 (type: int)
+ sort order:+
+ Statistics:Num rows: 254100 Data size: 364958258 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col6 (type: int), _col7 (type: decimal(7,2)), _col9 (type: int), _col10 (type: string), _col11 (type: int), _col12 (type: string)
+ Merge Join Operator [MERGEJOIN_82]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col4 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col5","_col6","_col7","_col9","_col10","_col11","_col12"]
+ | Statistics:Num rows: 254100 Data size: 364958258 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 10 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_26]
+ | key expressions:_col0 (type: int)
+ | Map-reduce partition columns:_col0 (type: int)
+ | sort order:+
+ | Statistics:Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
+ | value expressions:_col1 (type: int), _col2 (type: string), _col3 (type: int), _col4 (type: string)
+ | Select Operator [SEL_8]
+ | outputColumnNames:["_col0","_col1","_col2","_col3","_col4"]
+ | Statistics:Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_77]
+ | predicate:((i_manager_id = 7) and i_item_sk is not null) (type: boolean)
+ | Statistics:Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_6]
+ | alias:item
+ | Statistics:Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ |<-Reducer 2 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_24]
+ key expressions:_col4 (type: int)
+ Map-reduce partition columns:_col4 (type: int)
+ sort order:+
+ Statistics:Num rows: 20088 Data size: 22478696 Basic stats: COMPLETE Column stats: NONE
+ value expressions:_col5 (type: int), _col6 (type: int), _col7 (type: decimal(7,2))
+ Merge Join Operator [MERGEJOIN_81]
+ | condition map:[{"":"Inner Join 0 to 1"}]
+ | keys:{"0":"_col0 (type: int)","1":"_col0 (type: int)"}
+ | outputColumnNames:["_col4","_col5","_col6","_col7"]
+ | Statistics:Num rows: 20088 Data size: 22478696 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 1 [SIMPLE_EDGE]
+ | Reduce Output Operator [RS_19]
+ | 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_2]
+ | outputColumnNames:["_col0"]
+ | Statistics:Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
+ | Filter Operator [FIL_75]
+ | predicate:(((d_moy = 11) and d_date_sk is not null) and (d_year = 1999)) (type: boolean)
+ | Statistics:Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE
+ | TableScan [TS_0]
+ | alias:date_dim
+ | Statistics:Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ |<-Map 9 [SIMPLE_EDGE]
+ Reduce Output Operator [RS_21]
+ 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: decimal(7,2))
+ Select Operator [SEL_5]
+ outputColumnNames:["_col0","_col1","_col2","_col3","_col4"]
+ Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ Filter Operator [FIL_76]
+ predicate:(((ss_sold_date_sk is not null and ss_item_sk is not null) and ss_customer_sk is not null) and ss_store_sk is not null) (type: boolean)
+ Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+ TableScan [TS_3]
+ alias:store_sales
+ Statistics:Num rows: 1 Data size: 0 Basic stats: PARTIAL Column stats: NONE
+