http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query15.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query15.q.out b/ql/src/test/results/clientpositive/perf/query15.q.out deleted file mode 100644 index cf6cf16..0000000 --- a/ql/src/test/results/clientpositive/perf/query15.q.out +++ /dev/null @@ -1,119 +0,0 @@ -PREHOOK: query: explain -select ca_zip - ,sum(cs_sales_price) - from catalog_sales - ,customer - ,customer_address - ,date_dim - where cs_bill_customer_sk = c_customer_sk - and c_current_addr_sk = ca_address_sk - and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', - '85392', '85460', '80348', '81792') - or ca_state in ('CA','WA','GA') - or cs_sales_price > 500) - and cs_sold_date_sk = d_date_sk - and d_qoy = 2 and d_year = 2000 - group by ca_zip - order by ca_zip - limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select ca_zip - ,sum(cs_sales_price) - from catalog_sales - ,customer - ,customer_address - ,date_dim - where cs_bill_customer_sk = c_customer_sk - and c_current_addr_sk = ca_address_sk - and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', - '85392', '85460', '80348', '81792') - or ca_state in ('CA','WA','GA') - or cs_sales_price > 500) - and cs_sold_date_sk = d_date_sk - and d_qoy = 2 and d_year = 2000 - group by ca_zip - order by ca_zip - limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE) -Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (SIMPLE_EDGE) -Reducer 8 <- Map 7 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 5 - File Output Operator [FS_31] - Limit [LIM_30] (rows=100 width=135) - Number of rows:100 - Select Operator [SEL_29] (rows=174233858 width=135) - Output:["_col0","_col1"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_28] - Group By Operator [GBY_26] (rows=174233858 width=135) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_25] - PartitionCols:_col0 - Group By Operator [GBY_24] (rows=348467716 width=135) - Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col4 - Select Operator [SEL_23] (rows=348467716 width=135) - Output:["_col4","_col7"] - Filter Operator [FIL_22] (rows=348467716 width=135) - predicate:((_col3) IN ('CA', 'WA', 'GA') or (_col7 > 500) or (substr(_col4, 1, 5)) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792')) - Merge Join Operator [MERGEJOIN_46] (rows=348467716 width=135) - Conds:RS_19._col0=RS_20._col1(Inner),Output:["_col3","_col4","_col7"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_44] (rows=88000001 width=860) - Conds:RS_16._col1=RS_17._col0(Inner),Output:["_col0","_col3","_col4"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col1 - Select Operator [SEL_2] (rows=80000000 width=860) - Output:["_col0","_col1"] - Filter Operator [FIL_40] (rows=80000000 width=860) - predicate:(c_current_addr_sk is not null and c_customer_sk is not null) - TableScan [TS_0] (rows=80000000 width=860) - default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"] - <-Map 6 [SIMPLE_EDGE] - SHUFFLE [RS_17] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=40000000 width=1014) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_41] (rows=40000000 width=1014) - predicate:ca_address_sk is not null - TableScan [TS_3] (rows=40000000 width=1014) - default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state","ca_zip"] - <-Reducer 8 [SIMPLE_EDGE] - SHUFFLE [RS_20] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_45] (rows=316788826 width=135) - Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col1","_col2"] - <-Map 7 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=287989836 width=135) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_42] (rows=287989836 width=135) - predicate:(cs_bill_customer_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_6] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_sales_price"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_43] (rows=18262 width=1119) - predicate:((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) - TableScan [TS_9] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_qoy"] -
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query16.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query16.q.out b/ql/src/test/results/clientpositive/perf/query16.q.out deleted file mode 100644 index b2b990e..0000000 --- a/ql/src/test/results/clientpositive/perf/query16.q.out +++ /dev/null @@ -1,192 +0,0 @@ -PREHOOK: query: explain -select - count(distinct cs_order_number) as `order count` - ,sum(cs_ext_ship_cost) as `total shipping cost` - ,sum(cs_net_profit) as `total net profit` -from - catalog_sales cs1 - ,date_dim - ,customer_address - ,call_center -where - d_date between '2001-4-01' and - (cast('2001-4-01' as date) + 60 days) -and cs1.cs_ship_date_sk = d_date_sk -and cs1.cs_ship_addr_sk = ca_address_sk -and ca_state = 'NY' -and cs1.cs_call_center_sk = cc_call_center_sk -and cc_county in ('Ziebach County','Levy County','Huron County','Franklin Parish', - 'Daviess County' -) -and exists (select * - from catalog_sales cs2 - where cs1.cs_order_number = cs2.cs_order_number - and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk) -and not exists(select * - from catalog_returns cr1 - where cs1.cs_order_number = cr1.cr_order_number) -order by count(distinct cs_order_number) -limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select - count(distinct cs_order_number) as `order count` - ,sum(cs_ext_ship_cost) as `total shipping cost` - ,sum(cs_net_profit) as `total net profit` -from - catalog_sales cs1 - ,date_dim - ,customer_address - ,call_center -where - d_date between '2001-4-01' and - (cast('2001-4-01' as date) + 60 days) -and cs1.cs_ship_date_sk = d_date_sk -and cs1.cs_ship_addr_sk = ca_address_sk -and ca_state = 'NY' -and cs1.cs_call_center_sk = cc_call_center_sk -and cc_county in ('Ziebach County','Levy County','Huron County','Franklin Parish', - 'Daviess County' -) -and exists (select * - from catalog_sales cs2 - where cs1.cs_order_number = cs2.cs_order_number - and cs1.cs_warehouse_sk <> cs2.cs_warehouse_sk) -and not exists(select * - from catalog_returns cr1 - where cs1.cs_order_number = cr1.cr_order_number) -order by count(distinct cs_order_number) -limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 13 <- Map 12 (SIMPLE_EDGE) -Reducer 15 <- Map 14 (SIMPLE_EDGE) -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 <- Reducer 13 (ONE_TO_ONE_EDGE), Reducer 15 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (CUSTOM_SIMPLE_EDGE) -Reducer 8 <- Reducer 7 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:-1 - Stage-1 - Reducer 8 - File Output Operator [FS_50] - Limit [LIM_48] (rows=1 width=344) - Number of rows:100 - Select Operator [SEL_47] (rows=1 width=344) - Output:["_col0","_col1","_col2"] - <-Reducer 7 [SIMPLE_EDGE] - SHUFFLE [RS_46] - Select Operator [SEL_45] (rows=1 width=344) - Output:["_col1","_col2","_col3"] - Group By Operator [GBY_78] (rows=1 width=344) - Output:["_col0","_col1","_col2"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)"] - <-Reducer 6 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_77] - Group By Operator [GBY_76] (rows=1 width=344) - Output:["_col0","_col1","_col2"],aggregations:["count(_col0)","sum(_col1)","sum(_col2)"] - Group By Operator [GBY_75] (rows=421645953 width=135) - Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0 - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_74] - PartitionCols:_col0 - Group By Operator [GBY_73] (rows=421645953 width=135) - Output:["_col0","_col2","_col3"],aggregations:["sum(_col5)","sum(_col6)"],keys:_col4 - Select Operator [SEL_41] (rows=421645953 width=135) - Output:["_col4","_col5","_col6"] - Filter Operator [FIL_40] (rows=421645953 width=135) - predicate:_col16 is null - Select Operator [SEL_39] (rows=843291907 width=135) - Output:["_col4","_col5","_col6","_col16"] - Merge Join Operator [MERGEJOIN_82] (rows=843291907 width=135) - Conds:RS_35._col4=RS_36._col0(Left Outer),RS_35._col4=RS_37._col1(Inner),Output:["_col3","_col4","_col5","_col6","_col14","_col15"],residual filter predicates:{(_col3 <> _col15)} - <-Reducer 13 [ONE_TO_ONE_EDGE] - FORWARD [RS_36] - PartitionCols:_col0 - Select Operator [SEL_18] (rows=14399440 width=106) - Output:["_col0","_col1"] - Group By Operator [GBY_17] (rows=14399440 width=106) - Output:["_col0"],keys:KEY._col0 - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Group By Operator [GBY_15] (rows=28798881 width=106) - Output:["_col0"],keys:cr_order_number - Filter Operator [FIL_71] (rows=28798881 width=106) - predicate:cr_order_number is not null - TableScan [TS_12] (rows=28798881 width=106) - default@catalog_returns,cr1,Tbl:COMPLETE,Col:NONE,Output:["cr_order_number"] - <-Reducer 15 [SIMPLE_EDGE] - SHUFFLE [RS_37] - PartitionCols:_col1 - Select Operator [SEL_25] (rows=143994918 width=135) - Output:["_col0","_col1"] - Group By Operator [GBY_24] (rows=143994918 width=135) - Output:["_col0","_col1"],keys:KEY._col0, KEY._col1 - <-Map 14 [SIMPLE_EDGE] - SHUFFLE [RS_23] - PartitionCols:_col0, _col1 - Group By Operator [GBY_22] (rows=287989836 width=135) - Output:["_col0","_col1"],keys:cs_order_number, cs_warehouse_sk - Filter Operator [FIL_72] (rows=287989836 width=135) - predicate:(cs_order_number is not null and cs_warehouse_sk is not null) - TableScan [TS_19] (rows=287989836 width=135) - default@catalog_sales,cs2,Tbl:COMPLETE,Col:NONE,Output:["cs_warehouse_sk","cs_order_number"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_35] - PartitionCols:_col4 - Merge Join Operator [MERGEJOIN_81] (rows=383314495 width=135) - Conds:RS_32._col2=RS_33._col0(Inner),Output:["_col3","_col4","_col5","_col6"] - <-Map 11 [SIMPLE_EDGE] - SHUFFLE [RS_33] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=30 width=2045) - Output:["_col0"] - Filter Operator [FIL_70] (rows=30 width=2045) - predicate:((cc_county) IN ('Ziebach County', 'Levy County', 'Huron County', 'Franklin Parish', 'Daviess County') and cc_call_center_sk is not null) - TableScan [TS_9] (rows=60 width=2045) - default@call_center,call_center,Tbl:COMPLETE,Col:NONE,Output:["cc_call_center_sk","cc_county"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_32] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_80] (rows=348467716 width=135) - Conds:RS_29._col1=RS_30._col0(Inner),Output:["_col2","_col3","_col4","_col5","_col6"] - <-Map 10 [SIMPLE_EDGE] - SHUFFLE [RS_30] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=20000000 width=1014) - Output:["_col0"] - Filter Operator [FIL_69] (rows=20000000 width=1014) - predicate:((ca_state = 'NY') and ca_address_sk is not null) - TableScan [TS_6] (rows=40000000 width=1014) - default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_29] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_79] (rows=316788826 width=135) - Conds:RS_26._col0=RS_27._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_26] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=287989836 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - Filter Operator [FIL_67] (rows=287989836 width=135) - predicate:(cs_call_center_sk is not null and cs_ship_addr_sk is not null and cs_ship_date_sk is not null) - TableScan [TS_0] (rows=287989836 width=135) - default@catalog_sales,cs1,Tbl:COMPLETE,Col:NONE,Output:["cs_ship_date_sk","cs_ship_addr_sk","cs_call_center_sk","cs_warehouse_sk","cs_order_number","cs_ext_ship_cost","cs_net_profit"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_27] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=8116 width=1119) - Output:["_col0"] - Filter Operator [FIL_68] (rows=8116 width=1119) - predicate:(CAST( d_date AS TIMESTAMP) BETWEEN 2001-04-01 00:00:00.0 AND 2001-05-31 01:00:00.0 and d_date_sk is not null) - TableScan [TS_3] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query17.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query17.q.out b/ql/src/test/results/clientpositive/perf/query17.q.out deleted file mode 100644 index 7c195c2..0000000 --- a/ql/src/test/results/clientpositive/perf/query17.q.out +++ /dev/null @@ -1,225 +0,0 @@ -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 = ss_sold_date_sk - and i_item_sk = ss_item_sk - and s_store_sk = ss_store_sk - and ss_customer_sk = sr_customer_sk - and ss_item_sk = sr_item_sk - and ss_ticket_number = sr_ticket_number - and sr_returned_date_sk = d2.d_date_sk - and d2.d_quarter_name in ('2000Q1','2000Q2','2000Q3') - and sr_customer_sk = cs_bill_customer_sk - and sr_item_sk = cs_item_sk - and 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 = ss_sold_date_sk - and i_item_sk = ss_item_sk - and s_store_sk = ss_store_sk - and ss_customer_sk = sr_customer_sk - and ss_item_sk = sr_item_sk - and ss_ticket_number = sr_ticket_number - and sr_returned_date_sk = d2.d_date_sk - and d2.d_quarter_name in ('2000Q1','2000Q2','2000Q3') - and sr_customer_sk = cs_bill_customer_sk - and sr_item_sk = cs_item_sk - and 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 11 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) -Reducer 11 <- Map 14 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 3 <- Map 12 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 10 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Map 15 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (SIMPLE_EDGE) -Reducer 9 <- Map 13 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 7 - File Output Operator [FS_55] - Limit [LIM_54] (rows=100 width=88) - Number of rows:100 - Select Operator [SEL_53] (rows=421657640 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"] - <-Reducer 6 [SIMPLE_EDGE] - SHUFFLE [RS_52] - Select Operator [SEL_51] (rows=421657640 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13"] - Group By Operator [GBY_50] (rows=421657640 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"],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, KEY._col1, KEY._col2 - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_49] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_48] (rows=843315281 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"],aggregations:["count(_col5)","avg(_col5)","stddev_samp(_col5)","count(_col21)","avg(_col21)","stddev_samp(_col21)","count(_col14)","avg(_col14)","stddev_samp(_col14)"],keys:_col9, _col10, _col25 - Merge Join Operator [MERGEJOIN_98] (rows=843315281 width=88) - Conds:RS_44._col3=RS_45._col0(Inner),Output:["_col5","_col9","_col10","_col14","_col21","_col25"] - <-Map 15 [SIMPLE_EDGE] - SHUFFLE [RS_45] - PartitionCols:_col0 - Select Operator [SEL_34] (rows=1704 width=1910) - Output:["_col0","_col1"] - Filter Operator [FIL_91] (rows=1704 width=1910) - predicate:s_store_sk is not null - TableScan [TS_32] (rows=1704 width=1910) - default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_state"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_44] - PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_97] (rows=766650239 width=88) - Conds:RS_41._col1, _col2, _col4=RS_42._col7, _col8, _col9(Inner),Output:["_col3","_col5","_col9","_col10","_col14","_col21"] - <-Reducer 10 [SIMPLE_EDGE] - SHUFFLE [RS_42] - PartitionCols:_col7, _col8, _col9 - Merge Join Operator [MERGEJOIN_96] (rows=348467716 width=135) - Conds:RS_28._col2, _col1=RS_29._col1, _col2(Inner),Output:["_col3","_col7","_col8","_col9","_col10"] - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_29] - PartitionCols:_col1, _col2 - Merge Join Operator [MERGEJOIN_95] (rows=63350266 width=77) - Conds:RS_21._col0=RS_22._col0(Inner),Output:["_col1","_col2","_col3","_col4"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_22] - PartitionCols:_col0 - Select Operator [SEL_20] (rows=36525 width=1119) - Output:["_col0"] - Filter Operator [FIL_90] (rows=36525 width=1119) - predicate:((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null) - TableScan [TS_3] (rows=73049 width=1119) - default@date_dim,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_quarter_name"] - <-Map 14 [SIMPLE_EDGE] - SHUFFLE [RS_21] - PartitionCols:_col0 - Select Operator [SEL_17] (rows=57591150 width=77) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_89] (rows=57591150 width=77) - predicate:(sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null) - TableScan [TS_15] (rows=57591150 width=77) - default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_customer_sk","sr_ticket_number","sr_return_quantity"] - <-Reducer 9 [SIMPLE_EDGE] - SHUFFLE [RS_28] - PartitionCols:_col2, _col1 - Merge Join Operator [MERGEJOIN_94] (rows=316788826 width=135) - Conds:RS_25._col0=RS_26._col0(Inner),Output:["_col1","_col2","_col3"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_26] - PartitionCols:_col0 - Select Operator [SEL_14] (rows=36525 width=1119) - Output:["_col0"] - Filter Operator [FIL_88] (rows=36525 width=1119) - predicate:((d_quarter_name) IN ('2000Q1', '2000Q2', '2000Q3') and d_date_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Map 13 [SIMPLE_EDGE] - SHUFFLE [RS_25] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=287989836 width=135) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_87] (rows=287989836 width=135) - predicate:(cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_9] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_item_sk","cs_quantity"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_41] - PartitionCols:_col1, _col2, _col4 - Merge Join Operator [MERGEJOIN_93] (rows=696954748 width=88) - Conds:RS_38._col1=RS_39._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col9","_col10"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_39] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=462000 width=1436) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_86] (rows=462000 width=1436) - predicate:i_item_sk is not null - TableScan [TS_6] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_38] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_92] (rows=633595212 width=88) - Conds:RS_35._col0=RS_36._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_36] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_85] (rows=36524 width=1119) - predicate:((d_quarter_name = '2000Q1') and d_date_sk is not null) - Please refer to the previous TableScan [TS_3] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_35] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_84] (rows=575995635 width=88) - predicate:(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 and ss_ticket_number is not null) - TableScan [TS_0] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ticket_number","ss_quantity"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/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 deleted file mode 100644 index 1f0ec90..0000000 --- a/ql/src/test/results/clientpositive/perf/query18.q.out +++ /dev/null @@ -1,194 +0,0 @@ -PREHOOK: query: explain -select i_item_id, - ca_country, - ca_state, - ca_county, - avg( cast(cs_quantity as numeric(12,2))) agg1, - avg( cast(cs_list_price as numeric(12,2))) agg2, - avg( cast(cs_coupon_amt as numeric(12,2))) agg3, - avg( cast(cs_sales_price as numeric(12,2))) agg4, - avg( cast(cs_net_profit as numeric(12,2))) agg5, - avg( cast(c_birth_year as numeric(12,2))) agg6, - avg( cast(cd1.cd_dep_count as numeric(12,2))) agg7 - from catalog_sales, customer_demographics cd1, - customer_demographics cd2, customer, customer_address, date_dim, item - where cs_sold_date_sk = d_date_sk and - cs_item_sk = i_item_sk and - cs_bill_cdemo_sk = cd1.cd_demo_sk and - cs_bill_customer_sk = c_customer_sk and - cd1.cd_gender = 'M' and - cd1.cd_education_status = 'College' and - c_current_cdemo_sk = cd2.cd_demo_sk and - c_current_addr_sk = 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 rollup (i_item_id, ca_country, ca_state, ca_county) - 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 numeric(12,2))) agg1, - avg( cast(cs_list_price as numeric(12,2))) agg2, - avg( cast(cs_coupon_amt as numeric(12,2))) agg3, - avg( cast(cs_sales_price as numeric(12,2))) agg4, - avg( cast(cs_net_profit as numeric(12,2))) agg5, - avg( cast(c_birth_year as numeric(12,2))) agg6, - avg( cast(cd1.cd_dep_count as numeric(12,2))) agg7 - from catalog_sales, customer_demographics cd1, - customer_demographics cd2, customer, customer_address, date_dim, item - where cs_sold_date_sk = d_date_sk and - cs_item_sk = i_item_sk and - cs_bill_cdemo_sk = cd1.cd_demo_sk and - cs_bill_customer_sk = c_customer_sk and - cd1.cd_gender = 'M' and - cd1.cd_education_status = 'College' and - c_current_cdemo_sk = cd2.cd_demo_sk and - c_current_addr_sk = 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 rollup (i_item_id, ca_country, ca_state, ca_county) - 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 10 <- Map 13 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) -Reducer 11 <- Map 14 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE) -Reducer 12 <- Map 15 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) -Reducer 3 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 12 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 6 - File Output Operator [FS_49] - Limit [LIM_48] (rows=100 width=135) - Number of rows:100 - Select Operator [SEL_47] (rows=1054114882 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"] - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_46] - Select Operator [SEL_45] (rows=1054114882 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"] - Group By Operator [GBY_44] (rows=1054114882 width=135) - Output:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8","_col9","_col10","_col11"],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, KEY._col1, KEY._col2, KEY._col3, KEY._col4 - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_43] - PartitionCols:_col0, _col1, _col2, _col3, _col4 - Group By Operator [GBY_42] (rows=2108229765 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"],aggregations:["avg(_col4)","avg(_col5)","avg(_col6)","avg(_col7)","avg(_col8)","avg(_col9)","avg(_col10)"],keys:_col0, _col1, _col2, _col3, 0 - Select Operator [SEL_40] (rows=421645953 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"] - Merge Join Operator [MERGEJOIN_83] (rows=421645953 width=135) - Conds:RS_37._col0=RS_38._col3(Inner),Output:["_col4","_col6","_col7","_col8","_col11","_col16","_col17","_col18","_col19","_col20","_col26"] - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_38] - PartitionCols:_col3 - Select Operator [SEL_30] (rows=383314495 width=135) - Output:["_col1","_col3","_col6","_col7","_col8","_col9","_col10","_col16"] - Merge Join Operator [MERGEJOIN_82] (rows=383314495 width=135) - Conds:RS_27._col3=RS_28._col0(Inner),Output:["_col1","_col4","_col5","_col6","_col7","_col8","_col14","_col16"] - <-Map 15 [SIMPLE_EDGE] - SHUFFLE [RS_28] - PartitionCols:_col0 - Select Operator [SEL_20] (rows=462000 width=1436) - Output:["_col0","_col1"] - Filter Operator [FIL_77] (rows=462000 width=1436) - predicate:i_item_sk is not null - TableScan [TS_18] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id"] - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_27] - PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_81] (rows=348467716 width=135) - Conds:RS_24._col2=RS_25._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col6","_col7","_col8","_col14"] - <-Map 14 [SIMPLE_EDGE] - SHUFFLE [RS_25] - PartitionCols:_col0 - Select Operator [SEL_17] (rows=465450 width=385) - Output:["_col0","_col3"] - Filter Operator [FIL_76] (rows=465450 width=385) - predicate:((cd_education_status = 'College') and (cd_gender = 'M') and cd_demo_sk is not null) - TableScan [TS_15] (rows=1861800 width=385) - default@customer_demographics,cd1,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_gender","cd_education_status","cd_dep_count"] - <-Reducer 10 [SIMPLE_EDGE] - SHUFFLE [RS_24] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_80] (rows=316788826 width=135) - Conds:RS_21._col0=RS_22._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] - <-Map 13 [SIMPLE_EDGE] - SHUFFLE [RS_22] - PartitionCols:_col0 - Select Operator [SEL_14] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_75] (rows=36524 width=1119) - predicate:((d_year = 2001) and d_date_sk is not null) - TableScan [TS_12] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_21] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=287989836 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"] - Filter Operator [FIL_74] (rows=287989836 width=135) - predicate:(cs_bill_cdemo_sk is not null and cs_bill_customer_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_9] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk","cs_bill_cdemo_sk","cs_item_sk","cs_quantity","cs_list_price","cs_sales_price","cs_coupon_amt","cs_net_profit"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_37] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_79] (rows=48400001 width=860) - Conds:RS_34._col1=RS_35._col0(Inner),Output:["_col0","_col4","_col6","_col7","_col8"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_35] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=1861800 width=385) - Output:["_col0"] - Filter Operator [FIL_73] (rows=1861800 width=385) - predicate:cd_demo_sk is not null - TableScan [TS_6] (rows=1861800 width=385) - default@customer_demographics,cd2,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_34] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_78] (rows=44000000 width=860) - Conds:RS_31._col2=RS_32._col0(Inner),Output:["_col0","_col1","_col4","_col6","_col7","_col8"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_31] - PartitionCols:_col2 - Select Operator [SEL_2] (rows=40000000 width=860) - Output:["_col0","_col1","_col2","_col4"] - Filter Operator [FIL_71] (rows=40000000 width=860) - predicate:((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 and c_customer_sk is not null) - TableScan [TS_0] (rows=80000000 width=860) - default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_cdemo_sk","c_current_addr_sk","c_birth_month","c_birth_year"] - <-Map 7 [SIMPLE_EDGE] - SHUFFLE [RS_32] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=20000000 width=1014) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_72] (rows=20000000 width=1014) - predicate:((ca_state) IN ('ND', 'WI', 'AL', 'NC', 'OK', 'MS', 'TN') and ca_address_sk is not null) - TableScan [TS_3] (rows=40000000 width=1014) - default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_county","ca_state","ca_country"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/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 deleted file mode 100644 index 363425f..0000000 --- a/ql/src/test/results/clientpositive/perf/query19.q.out +++ /dev/null @@ -1,161 +0,0 @@ -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 d_date_sk = ss_sold_date_sk - and ss_item_sk = i_item_sk - and i_manager_id=7 - and d_moy=11 - and d_year=1999 - and ss_customer_sk = c_customer_sk - and c_current_addr_sk = ca_address_sk - and substr(ca_zip,1,5) <> substr(s_zip,1,5) - and ss_store_sk = 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 d_date_sk = ss_sold_date_sk - and ss_item_sk = i_item_sk - and i_manager_id=7 - and d_moy=11 - and d_year=1999 - and ss_customer_sk = c_customer_sk - and c_current_addr_sk = ca_address_sk - and substr(ca_zip,1,5) <> substr(s_zip,1,5) - and ss_store_sk = 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 10 <- Map 12 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) -Reducer 3 <- Reducer 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Map 13 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) -Reducer 9 <- Map 11 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 6 - File Output Operator [FS_44] - Limit [LIM_43] (rows=100 width=88) - Number of rows:100 - Select Operator [SEL_42] (rows=421657640 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"] - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_41] - Select Operator [SEL_39] (rows=421657640 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"] - Group By Operator [GBY_38] (rows=421657640 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3 - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_37] - PartitionCols:_col0, _col1, _col2, _col3 - Group By Operator [GBY_36] (rows=843315281 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col8)"],keys:_col14, _col13, _col15, _col16 - Select Operator [SEL_35] (rows=843315281 width=88) - Output:["_col8","_col13","_col14","_col15","_col16"] - Filter Operator [FIL_34] (rows=843315281 width=88) - predicate:(substr(_col3, 1, 5) <> substr(_col19, 1, 5)) - Merge Join Operator [MERGEJOIN_73] (rows=843315281 width=88) - Conds:RS_31._col7=RS_32._col0(Inner),Output:["_col3","_col8","_col13","_col14","_col15","_col16","_col19"] - <-Map 13 [SIMPLE_EDGE] - SHUFFLE [RS_32] - PartitionCols:_col0 - Select Operator [SEL_24] (rows=1704 width=1910) - Output:["_col0","_col1"] - Filter Operator [FIL_68] (rows=1704 width=1910) - predicate:s_store_sk is not null - TableScan [TS_22] (rows=1704 width=1910) - default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_zip"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_31] - PartitionCols:_col7 - Merge Join Operator [MERGEJOIN_72] (rows=766650239 width=88) - Conds:RS_28._col0=RS_29._col2(Inner),Output:["_col3","_col7","_col8","_col13","_col14","_col15","_col16"] - <-Reducer 10 [SIMPLE_EDGE] - SHUFFLE [RS_29] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_71] (rows=696954748 width=88) - Conds:RS_18._col1=RS_19._col0(Inner),Output:["_col2","_col3","_col4","_col9","_col10","_col11","_col12"] - <-Map 12 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Select Operator [SEL_14] (rows=231000 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_67] (rows=231000 width=1436) - predicate:((i_manager_id = 7) and i_item_sk is not null) - TableScan [TS_12] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_brand_id","i_brand","i_manufact_id","i_manufact","i_manager_id"] - <-Reducer 9 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_70] (rows=633595212 width=88) - Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1","_col2","_col3","_col4"] - <-Map 11 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_66] (rows=18262 width=1119) - predicate:((d_moy = 11) and (d_year = 1999) and d_date_sk is not null) - TableScan [TS_9] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_15] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_65] (rows=575995635 width=88) - predicate:(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) - TableScan [TS_6] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ext_sales_price"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_28] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_69] (rows=88000001 width=860) - Conds:RS_25._col1=RS_26._col0(Inner),Output:["_col0","_col3"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_25] - PartitionCols:_col1 - Select Operator [SEL_2] (rows=80000000 width=860) - Output:["_col0","_col1"] - Filter Operator [FIL_63] (rows=80000000 width=860) - predicate:(c_current_addr_sk is not null and c_customer_sk is not null) - TableScan [TS_0] (rows=80000000 width=860) - default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"] - <-Map 7 [SIMPLE_EDGE] - SHUFFLE [RS_26] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=40000000 width=1014) - Output:["_col0","_col1"] - Filter Operator [FIL_64] (rows=40000000 width=1014) - predicate:ca_address_sk is not null - TableScan [TS_3] (rows=40000000 width=1014) - default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_zip"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query2.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query2.q.out b/ql/src/test/results/clientpositive/perf/query2.q.out deleted file mode 100644 index 0ba703a..0000000 --- a/ql/src/test/results/clientpositive/perf/query2.q.out +++ /dev/null @@ -1,255 +0,0 @@ -PREHOOK: query: explain -with wscs as - (select sold_date_sk - ,sales_price - from (select ws_sold_date_sk sold_date_sk - ,ws_ext_sales_price sales_price - from web_sales) x - union all - (select cs_sold_date_sk sold_date_sk - ,cs_ext_sales_price sales_price - from catalog_sales)), - wswscs as - (select d_week_seq, - sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales, - sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales, - sum(case when (d_day_name='Tuesday') then sales_price else null end) tue_sales, - sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales, - sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales, - sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales, - sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales - from wscs - ,date_dim - where d_date_sk = sold_date_sk - group by d_week_seq) - select d_week_seq1 - ,round(sun_sales1/sun_sales2,2) - ,round(mon_sales1/mon_sales2,2) - ,round(tue_sales1/tue_sales2,2) - ,round(wed_sales1/wed_sales2,2) - ,round(thu_sales1/thu_sales2,2) - ,round(fri_sales1/fri_sales2,2) - ,round(sat_sales1/sat_sales2,2) - from - (select wswscs.d_week_seq d_week_seq1 - ,sun_sales sun_sales1 - ,mon_sales mon_sales1 - ,tue_sales tue_sales1 - ,wed_sales wed_sales1 - ,thu_sales thu_sales1 - ,fri_sales fri_sales1 - ,sat_sales sat_sales1 - from wswscs,date_dim - where date_dim.d_week_seq = wswscs.d_week_seq and - d_year = 2001) y, - (select wswscs.d_week_seq d_week_seq2 - ,sun_sales sun_sales2 - ,mon_sales mon_sales2 - ,tue_sales tue_sales2 - ,wed_sales wed_sales2 - ,thu_sales thu_sales2 - ,fri_sales fri_sales2 - ,sat_sales sat_sales2 - from wswscs - ,date_dim - where date_dim.d_week_seq = wswscs.d_week_seq and - d_year = 2001+1) z - where d_week_seq1=d_week_seq2-53 - order by d_week_seq1 -PREHOOK: type: QUERY -POSTHOOK: query: explain -with wscs as - (select sold_date_sk - ,sales_price - from (select ws_sold_date_sk sold_date_sk - ,ws_ext_sales_price sales_price - from web_sales) x - union all - (select cs_sold_date_sk sold_date_sk - ,cs_ext_sales_price sales_price - from catalog_sales)), - wswscs as - (select d_week_seq, - sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales, - sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales, - sum(case when (d_day_name='Tuesday') then sales_price else null end) tue_sales, - sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales, - sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales, - sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales, - sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales - from wscs - ,date_dim - where d_date_sk = sold_date_sk - group by d_week_seq) - select d_week_seq1 - ,round(sun_sales1/sun_sales2,2) - ,round(mon_sales1/mon_sales2,2) - ,round(tue_sales1/tue_sales2,2) - ,round(wed_sales1/wed_sales2,2) - ,round(thu_sales1/thu_sales2,2) - ,round(fri_sales1/fri_sales2,2) - ,round(sat_sales1/sat_sales2,2) - from - (select wswscs.d_week_seq d_week_seq1 - ,sun_sales sun_sales1 - ,mon_sales mon_sales1 - ,tue_sales tue_sales1 - ,wed_sales wed_sales1 - ,thu_sales thu_sales1 - ,fri_sales fri_sales1 - ,sat_sales sat_sales1 - from wswscs,date_dim - where date_dim.d_week_seq = wswscs.d_week_seq and - d_year = 2001) y, - (select wswscs.d_week_seq d_week_seq2 - ,sun_sales sun_sales2 - ,mon_sales mon_sales2 - ,tue_sales tue_sales2 - ,wed_sales wed_sales2 - ,thu_sales thu_sales2 - ,fri_sales fri_sales2 - ,sat_sales sat_sales2 - from wswscs - ,date_dim - where date_dim.d_week_seq = wswscs.d_week_seq and - d_year = 2001+1) z - where d_week_seq1=d_week_seq2-53 - order by d_week_seq1 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Map 1 <- Union 2 (CONTAINS) -Map 14 <- Union 15 (CONTAINS) -Map 16 <- Union 15 (CONTAINS) -Map 8 <- Union 2 (CONTAINS) -Reducer 10 <- Map 9 (SIMPLE_EDGE), Union 15 (SIMPLE_EDGE) -Reducer 11 <- Reducer 10 (SIMPLE_EDGE) -Reducer 12 <- Map 13 (SIMPLE_EDGE), Reducer 11 (ONE_TO_ONE_EDGE) -Reducer 3 <- Map 9 (SIMPLE_EDGE), Union 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Map 13 (SIMPLE_EDGE), Reducer 4 (ONE_TO_ONE_EDGE) -Reducer 6 <- Reducer 12 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:-1 - Stage-1 - Reducer 7 - File Output Operator [FS_60] - Select Operator [SEL_59] (rows=287491028 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - <-Reducer 6 [SIMPLE_EDGE] - SHUFFLE [RS_58] - Select Operator [SEL_57] (rows=287491028 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - Merge Join Operator [MERGEJOIN_95] (rows=287491028 width=135) - Conds:RS_54._col0=RS_55.(_col0 - 53)(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col9","_col10","_col11","_col12","_col13","_col14","_col15"] - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_55] - PartitionCols:(_col0 - 53) - Merge Join Operator [MERGEJOIN_94] (rows=261355475 width=135) - Conds:RS_50._col0=RS_51._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - <-Map 13 [SIMPLE_EDGE] - SHUFFLE [RS_51] - PartitionCols:_col0 - Select Operator [SEL_49] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_90] (rows=36524 width=1119) - predicate:((d_year = 2002) and d_week_seq is not null) - TableScan [TS_20] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_week_seq","d_year"] - <-Reducer 11 [ONE_TO_ONE_EDGE] - FORWARD [RS_50] - PartitionCols:_col0 - Group By Operator [GBY_45] (rows=237595882 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)"],keys:KEY._col0 - <-Reducer 10 [SIMPLE_EDGE] - SHUFFLE [RS_44] - PartitionCols:_col0 - Group By Operator [GBY_43] (rows=475191764 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(_col1)","sum(_col2)","sum(_col3)","sum(_col4)","sum(_col5)","sum(_col6)","sum(_col7)"],keys:_col0 - Select Operator [SEL_41] (rows=475191764 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - Merge Join Operator [MERGEJOIN_93] (rows=475191764 width=135) - Conds:Union 15._col0=RS_39._col0(Inner),Output:["_col1","_col3","_col4"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_39] - PartitionCols:_col0 - Select Operator [SEL_10] (rows=73049 width=1119) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_85] (rows=73049 width=1119) - predicate:(d_date_sk is not null and d_week_seq is not null) - TableScan [TS_8] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_week_seq","d_day_name"] - <-Union 15 [SIMPLE_EDGE] - <-Map 14 [CONTAINS] - Reduce Output Operator [RS_38] - PartitionCols:_col0 - Select Operator [SEL_29] (rows=144002668 width=135) - Output:["_col0","_col1"] - Filter Operator [FIL_87] (rows=144002668 width=135) - predicate:ws_sold_date_sk is not null - TableScan [TS_27] (rows=144002668 width=135) - Output:["ws_sold_date_sk","ws_ext_sales_price"] - <-Map 16 [CONTAINS] - Reduce Output Operator [RS_38] - PartitionCols:_col0 - Select Operator [SEL_32] (rows=287989836 width=135) - Output:["_col0","_col1"] - Filter Operator [FIL_88] (rows=287989836 width=135) - predicate:cs_sold_date_sk is not null - TableScan [TS_30] (rows=287989836 width=135) - Output:["cs_sold_date_sk","cs_ext_sales_price"] - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_54] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_92] (rows=261355475 width=135) - Conds:RS_23._col0=RS_24._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - <-Map 13 [SIMPLE_EDGE] - SHUFFLE [RS_24] - PartitionCols:_col0 - Select Operator [SEL_22] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_86] (rows=36524 width=1119) - predicate:((d_year = 2001) and d_week_seq is not null) - Please refer to the previous TableScan [TS_20] - <-Reducer 4 [ONE_TO_ONE_EDGE] - FORWARD [RS_23] - PartitionCols:_col0 - Group By Operator [GBY_18] (rows=237595882 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)"],keys:KEY._col0 - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_17] - PartitionCols:_col0 - Group By Operator [GBY_16] (rows=475191764 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(_col1)","sum(_col2)","sum(_col3)","sum(_col4)","sum(_col5)","sum(_col6)","sum(_col7)"],keys:_col0 - Select Operator [SEL_14] (rows=475191764 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] - Merge Join Operator [MERGEJOIN_91] (rows=475191764 width=135) - Conds:Union 2._col0=RS_12._col0(Inner),Output:["_col1","_col3","_col4"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_10] - <-Union 2 [SIMPLE_EDGE] - <-Map 1 [CONTAINS] - Reduce Output Operator [RS_11] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=144002668 width=135) - Output:["_col0","_col1"] - Filter Operator [FIL_83] (rows=144002668 width=135) - predicate:ws_sold_date_sk is not null - TableScan [TS_0] (rows=144002668 width=135) - Output:["ws_sold_date_sk","ws_ext_sales_price"] - <-Map 8 [CONTAINS] - Reduce Output Operator [RS_11] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=287989836 width=135) - Output:["_col0","_col1"] - Filter Operator [FIL_84] (rows=287989836 width=135) - predicate:cs_sold_date_sk is not null - TableScan [TS_3] (rows=287989836 width=135) - Output:["cs_sold_date_sk","cs_ext_sales_price"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query20.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query20.q.out b/ql/src/test/results/clientpositive/perf/query20.q.out deleted file mode 100644 index c07141b..0000000 --- a/ql/src/test/results/clientpositive/perf/query20.q.out +++ /dev/null @@ -1,130 +0,0 @@ -PREHOOK: query: explain -select i_item_desc - ,i_category - ,i_class - ,i_current_price - ,sum(cs_ext_sales_price) as itemrevenue - ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over - (partition by i_class) as revenueratio - from catalog_sales - ,item - ,date_dim - where cs_item_sk = i_item_sk - and i_category in ('Jewelry', 'Sports', 'Books') - and cs_sold_date_sk = d_date_sk - and d_date between cast('2001-01-12' as date) - and (cast('2001-01-12' as date) + 30 days) - group by i_item_id - ,i_item_desc - ,i_category - ,i_class - ,i_current_price - order by i_category - ,i_class - ,i_item_id - ,i_item_desc - ,revenueratio -limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select i_item_desc - ,i_category - ,i_class - ,i_current_price - ,sum(cs_ext_sales_price) as itemrevenue - ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over - (partition by i_class) as revenueratio - from catalog_sales - ,item - ,date_dim - where cs_item_sk = i_item_sk - and i_category in ('Jewelry', 'Sports', 'Books') - and cs_sold_date_sk = d_date_sk - and d_date between cast('2001-01-12' as date) - and (cast('2001-01-12' as date) + 30 days) - group by i_item_id - ,i_item_desc - ,i_category - ,i_class - ,i_current_price - order by i_category - ,i_class - ,i_item_id - ,i_item_desc - ,revenueratio -limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) -Reducer 3 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:-1 - Stage-1 - Reducer 6 - File Output Operator [FS_29] - Limit [LIM_27] (rows=100 width=135) - Number of rows:100 - Select Operator [SEL_26] (rows=174233858 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_25] - Select Operator [SEL_23] (rows=174233858 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] - PTF Operator [PTF_22] (rows=174233858 width=135) - Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col3 ASC NULLS FIRST","partition by:":"_col3"}] - Select Operator [SEL_21] (rows=174233858 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_20] - PartitionCols:_col3 - Select Operator [SEL_19] (rows=174233858 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Group By Operator [GBY_18] (rows=174233858 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4 - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_17] - PartitionCols:_col0, _col1, _col2, _col3, _col4 - Group By Operator [GBY_16] (rows=348467716 width=135) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"],aggregations:["sum(_col2)"],keys:_col10, _col9, _col6, _col7, _col8 - Merge Join Operator [MERGEJOIN_39] (rows=348467716 width=135) - Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col2","_col6","_col7","_col8","_col9","_col10"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=231000 width=1436) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_37] (rows=231000 width=1436) - predicate:((i_category) IN ('Jewelry', 'Sports', 'Books') and i_item_sk is not null) - TableScan [TS_6] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_item_desc","i_current_price","i_class","i_category"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_38] (rows=316788826 width=135) - Conds:RS_9._col0=RS_10._col0(Inner),Output:["_col1","_col2"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_9] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=287989836 width=135) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_35] (rows=287989836 width=135) - predicate:(cs_item_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_0] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_item_sk","cs_ext_sales_price"] - <-Map 7 [SIMPLE_EDGE] - SHUFFLE [RS_10] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=8116 width=1119) - Output:["_col0"] - Filter Operator [FIL_36] (rows=8116 width=1119) - predicate:(CAST( d_date AS TIMESTAMP) BETWEEN 2001-01-12 00:00:00.0 AND 2001-02-11 00:00:00.0 and d_date_sk is not null) - TableScan [TS_3] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query21.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query21.q.out b/ql/src/test/results/clientpositive/perf/query21.q.out deleted file mode 100644 index 876e3c8..0000000 --- a/ql/src/test/results/clientpositive/perf/query21.q.out +++ /dev/null @@ -1,139 +0,0 @@ -PREHOOK: query: explain -select * - from(select w_warehouse_name - ,i_item_id - ,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date)) - then inv_quantity_on_hand - else 0 end) as inv_before - ,sum(case when (cast(d_date as date) >= cast ('1998-04-08' as date)) - then inv_quantity_on_hand - else 0 end) as inv_after - from inventory - ,warehouse - ,item - ,date_dim - where i_current_price between 0.99 and 1.49 - and i_item_sk = inv_item_sk - and inv_warehouse_sk = w_warehouse_sk - and inv_date_sk = d_date_sk - and d_date between (cast ('1998-04-08' as date) - 30 days) - and (cast ('1998-04-08' as date) + 30 days) - group by w_warehouse_name, i_item_id) x - where (case when inv_before > 0 - then inv_after / inv_before - else null - end) between 2.0/3.0 and 3.0/2.0 - order by w_warehouse_name - ,i_item_id - limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select * - from(select w_warehouse_name - ,i_item_id - ,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date)) - then inv_quantity_on_hand - else 0 end) as inv_before - ,sum(case when (cast(d_date as date) >= cast ('1998-04-08' as date)) - then inv_quantity_on_hand - else 0 end) as inv_after - from inventory - ,warehouse - ,item - ,date_dim - where i_current_price between 0.99 and 1.49 - and i_item_sk = inv_item_sk - and inv_warehouse_sk = w_warehouse_sk - and inv_date_sk = d_date_sk - and d_date between (cast ('1998-04-08' as date) - 30 days) - and (cast ('1998-04-08' as date) + 30 days) - group by w_warehouse_name, i_item_id) x - where (case when inv_before > 0 - then inv_after / inv_before - else null - end) between 2.0/3.0 and 3.0/2.0 - order by w_warehouse_name - ,i_item_id - limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) -Reducer 3 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Map 9 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 6 - File Output Operator [FS_31] - Limit [LIM_30] (rows=100 width=15) - Number of rows:100 - Select Operator [SEL_29] (rows=12506076 width=15) - Output:["_col0","_col1","_col2","_col3"] - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_28] - Filter Operator [FIL_26] (rows=12506076 width=15) - predicate:CASE WHEN ((_col2 > 0)) THEN ((UDFToDouble(_col3) / UDFToDouble(_col2)) BETWEEN 0.6666666666666666 AND 1.5) ELSE (null) END - Group By Operator [GBY_25] (rows=25012152 width=15) - Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1 - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_24] - PartitionCols:_col0, _col1 - Group By Operator [GBY_23] (rows=50024305 width=15) - Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col2)","sum(_col3)"],keys:_col0, _col1 - Select Operator [SEL_21] (rows=50024305 width=15) - Output:["_col0","_col1","_col2","_col3"] - Merge Join Operator [MERGEJOIN_47] (rows=50024305 width=15) - Conds:RS_18._col2=RS_19._col0(Inner),Output:["_col3","_col5","_col7","_col10"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=27 width=1029) - Output:["_col0","_col1"] - Filter Operator [FIL_44] (rows=27 width=1029) - predicate:w_warehouse_sk is not null - TableScan [TS_9] (rows=27 width=1029) - default@warehouse,warehouse,Tbl:COMPLETE,Col:NONE,Output:["w_warehouse_sk","w_warehouse_name"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_46] (rows=45476640 width=15) - Conds:RS_15._col1=RS_16._col0(Inner),Output:["_col2","_col3","_col5","_col7"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=51333 width=1436) - Output:["_col0","_col1"] - Filter Operator [FIL_43] (rows=51333 width=1436) - predicate:(i_current_price BETWEEN 0.99 AND 1.49 and i_item_sk is not null) - TableScan [TS_6] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_item_id","i_current_price"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_15] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_45] (rows=41342400 width=15) - Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col1","_col2","_col3","_col5"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=37584000 width=15) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_41] (rows=37584000 width=15) - predicate:(inv_date_sk is not null and inv_item_sk is not null and inv_warehouse_sk is not null) - TableScan [TS_0] (rows=37584000 width=15) - default@inventory,inventory,Tbl:COMPLETE,Col:NONE,Output:["inv_date_sk","inv_item_sk","inv_warehouse_sk","inv_quantity_on_hand"] - <-Map 7 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=8116 width=1119) - Output:["_col0","_col1"] - Filter Operator [FIL_42] (rows=8116 width=1119) - predicate:(CAST( d_date AS TIMESTAMP) BETWEEN 1998-03-08 23:00:00.0 AND 1998-05-08 00:00:00.0 and d_date_sk is not null) - TableScan [TS_3] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date"] -
