http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query33.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query33.q.out b/ql/src/test/results/clientpositive/perf/query33.q.out deleted file mode 100644 index 0810c28..0000000 --- a/ql/src/test/results/clientpositive/perf/query33.q.out +++ /dev/null @@ -1,393 +0,0 @@ -PREHOOK: query: explain -with ss as ( - select - i_manufact_id,sum(ss_ext_sales_price) total_sales - from - store_sales, - date_dim, - customer_address, - item - where - i_manufact_id in (select - i_manufact_id -from - item -where i_category in ('Books')) - and ss_item_sk = i_item_sk - and ss_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 3 - and ss_addr_sk = ca_address_sk - and ca_gmt_offset = -6 - group by i_manufact_id), - cs as ( - select - i_manufact_id,sum(cs_ext_sales_price) total_sales - from - catalog_sales, - date_dim, - customer_address, - item - where - i_manufact_id in (select - i_manufact_id -from - item -where i_category in ('Books')) - and cs_item_sk = i_item_sk - and cs_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 3 - and cs_bill_addr_sk = ca_address_sk - and ca_gmt_offset = -6 - group by i_manufact_id), - ws as ( - select - i_manufact_id,sum(ws_ext_sales_price) total_sales - from - web_sales, - date_dim, - customer_address, - item - where - i_manufact_id in (select - i_manufact_id -from - item -where i_category in ('Books')) - and ws_item_sk = i_item_sk - and ws_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 3 - and ws_bill_addr_sk = ca_address_sk - and ca_gmt_offset = -6 - group by i_manufact_id) - select i_manufact_id ,sum(total_sales) total_sales - from (select * from ss - union all - select * from cs - union all - select * from ws) tmp1 - group by i_manufact_id - order by total_sales -limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -with ss as ( - select - i_manufact_id,sum(ss_ext_sales_price) total_sales - from - store_sales, - date_dim, - customer_address, - item - where - i_manufact_id in (select - i_manufact_id -from - item -where i_category in ('Books')) - and ss_item_sk = i_item_sk - and ss_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 3 - and ss_addr_sk = ca_address_sk - and ca_gmt_offset = -6 - group by i_manufact_id), - cs as ( - select - i_manufact_id,sum(cs_ext_sales_price) total_sales - from - catalog_sales, - date_dim, - customer_address, - item - where - i_manufact_id in (select - i_manufact_id -from - item -where i_category in ('Books')) - and cs_item_sk = i_item_sk - and cs_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 3 - and cs_bill_addr_sk = ca_address_sk - and ca_gmt_offset = -6 - group by i_manufact_id), - ws as ( - select - i_manufact_id,sum(ws_ext_sales_price) total_sales - from - web_sales, - date_dim, - customer_address, - item - where - i_manufact_id in (select - i_manufact_id -from - item -where i_category in ('Books')) - and ws_item_sk = i_item_sk - and ws_sold_date_sk = d_date_sk - and d_year = 1999 - and d_moy = 3 - and ws_bill_addr_sk = ca_address_sk - and ca_gmt_offset = -6 - group by i_manufact_id) - select i_manufact_id ,sum(total_sales) total_sales - from (select * from ss - union all - select * from cs - union all - select * from ws) tmp1 - group by i_manufact_id - order by total_sales -limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 10 <- Reducer 9 (SIMPLE_EDGE), Union 5 (CONTAINS) -Reducer 11 <- Map 1 (SIMPLE_EDGE), Reducer 17 (ONE_TO_ONE_EDGE) -Reducer 12 <- Reducer 11 (SIMPLE_EDGE), Reducer 25 (SIMPLE_EDGE) -Reducer 13 <- Reducer 12 (SIMPLE_EDGE), Union 5 (CONTAINS) -Reducer 15 <- Map 14 (SIMPLE_EDGE) -Reducer 16 <- Map 14 (SIMPLE_EDGE) -Reducer 17 <- Map 14 (SIMPLE_EDGE) -Reducer 19 <- Map 18 (SIMPLE_EDGE), Map 21 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 15 (ONE_TO_ONE_EDGE) -Reducer 20 <- Map 26 (SIMPLE_EDGE), Reducer 19 (SIMPLE_EDGE) -Reducer 22 <- Map 21 (SIMPLE_EDGE), Map 27 (SIMPLE_EDGE) -Reducer 23 <- Map 26 (SIMPLE_EDGE), Reducer 22 (SIMPLE_EDGE) -Reducer 24 <- Map 21 (SIMPLE_EDGE), Map 28 (SIMPLE_EDGE) -Reducer 25 <- Map 26 (SIMPLE_EDGE), Reducer 24 (SIMPLE_EDGE) -Reducer 3 <- Reducer 2 (SIMPLE_EDGE), Reducer 20 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE), Union 5 (CONTAINS) -Reducer 6 <- Union 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (SIMPLE_EDGE) -Reducer 8 <- Map 1 (SIMPLE_EDGE), Reducer 16 (ONE_TO_ONE_EDGE) -Reducer 9 <- Reducer 23 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 7 - File Output Operator [FS_121] - Limit [LIM_120] (rows=100 width=108) - Number of rows:100 - Select Operator [SEL_119] (rows=335408073 width=108) - Output:["_col0","_col1"] - <-Reducer 6 [SIMPLE_EDGE] - SHUFFLE [RS_118] - Group By Operator [GBY_116] (rows=335408073 width=108) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Union 5 [SIMPLE_EDGE] - <-Reducer 10 [CONTAINS] - Reduce Output Operator [RS_115] - PartitionCols:_col0 - Group By Operator [GBY_114] (rows=670816147 width=108) - Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 - Group By Operator [GBY_72] (rows=191657247 width=135) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 9 [SIMPLE_EDGE] - SHUFFLE [RS_71] - PartitionCols:_col0 - Group By Operator [GBY_70] (rows=383314495 width=135) - Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1 - Merge Join Operator [MERGEJOIN_183] (rows=383314495 width=135) - Conds:RS_66._col0=RS_67._col4(Inner),Output:["_col1","_col8"] - <-Reducer 23 [SIMPLE_EDGE] - SHUFFLE [RS_67] - PartitionCols:_col4 - Select Operator [SEL_62] (rows=348467716 width=135) - Output:["_col4","_col5"] - Merge Join Operator [MERGEJOIN_178] (rows=348467716 width=135) - Conds:RS_59._col1=RS_60._col0(Inner),Output:["_col2","_col3"] - <-Map 26 [SIMPLE_EDGE] - SHUFFLE [RS_60] - PartitionCols:_col0 - Select Operator [SEL_18] (rows=20000000 width=1014) - Output:["_col0"] - Filter Operator [FIL_162] (rows=20000000 width=1014) - predicate:((ca_gmt_offset = -6) and ca_address_sk is not null) - TableScan [TS_16] (rows=40000000 width=1014) - default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_gmt_offset"] - <-Reducer 22 [SIMPLE_EDGE] - SHUFFLE [RS_59] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_177] (rows=316788826 width=135) - Conds:RS_56._col0=RS_57._col0(Inner),Output:["_col1","_col2","_col3"] - <-Map 21 [SIMPLE_EDGE] - SHUFFLE [RS_57] - PartitionCols:_col0 - Select Operator [SEL_15] (rows=18262 width=1119) - Output:["_col0"] - Filter Operator [FIL_161] (rows=18262 width=1119) - predicate:((d_moy = 3) and (d_year = 1999) and d_date_sk is not null) - TableScan [TS_13] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] - <-Map 27 [SIMPLE_EDGE] - SHUFFLE [RS_56] - PartitionCols:_col0 - Select Operator [SEL_49] (rows=287989836 width=135) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_165] (rows=287989836 width=135) - predicate:(cs_bill_addr_sk is not null and cs_item_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_47] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_addr_sk","cs_item_sk","cs_ext_sales_price"] - <-Reducer 8 [SIMPLE_EDGE] - SHUFFLE [RS_66] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_176] (rows=508200 width=1436) - Conds:RS_63._col1=RS_64._col0(Inner),Output:["_col0","_col1"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_63] - PartitionCols:_col1 - Select Operator [SEL_2] (rows=462000 width=1436) - Output:["_col0","_col1"] - Filter Operator [FIL_158] (rows=462000 width=1436) - predicate:(i_item_sk is not null and i_manufact_id is not null) - TableScan [TS_0] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_manufact_id"] - <-Reducer 16 [ONE_TO_ONE_EDGE] - FORWARD [RS_64] - PartitionCols:_col0 - Group By Operator [GBY_45] (rows=115500 width=1436) - Output:["_col0"],keys:KEY._col0 - <-Map 14 [SIMPLE_EDGE] - SHUFFLE [RS_44] - PartitionCols:_col0 - Group By Operator [GBY_6] (rows=231000 width=1436) - Output:["_col0"],keys:i_manufact_id - Select Operator [SEL_5] (rows=231000 width=1436) - Output:["i_manufact_id"] - Filter Operator [FIL_159] (rows=231000 width=1436) - predicate:((i_category) IN ('Books') and i_manufact_id is not null) - TableScan [TS_3] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_category","i_manufact_id"] - <-Reducer 13 [CONTAINS] - Reduce Output Operator [RS_115] - PartitionCols:_col0 - Group By Operator [GBY_114] (rows=670816147 width=108) - Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 - Group By Operator [GBY_110] (rows=95833781 width=135) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_109] - PartitionCols:_col0 - Group By Operator [GBY_108] (rows=191667562 width=135) - Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1 - Merge Join Operator [MERGEJOIN_184] (rows=191667562 width=135) - Conds:RS_104._col0=RS_105._col3(Inner),Output:["_col1","_col8"] - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_104] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_179] (rows=508200 width=1436) - Conds:RS_101._col1=RS_102._col0(Inner),Output:["_col0","_col1"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_101] - PartitionCols:_col1 - Please refer to the previous Select Operator [SEL_2] - <-Reducer 17 [ONE_TO_ONE_EDGE] - FORWARD [RS_102] - PartitionCols:_col0 - Group By Operator [GBY_83] (rows=115500 width=1436) - Output:["_col0"],keys:KEY._col0 - <-Map 14 [SIMPLE_EDGE] - SHUFFLE [RS_82] - PartitionCols:_col0 - Please refer to the previous Group By Operator [GBY_6] - <-Reducer 25 [SIMPLE_EDGE] - SHUFFLE [RS_105] - PartitionCols:_col3 - Select Operator [SEL_100] (rows=174243235 width=135) - Output:["_col3","_col5"] - Merge Join Operator [MERGEJOIN_181] (rows=174243235 width=135) - Conds:RS_97._col2=RS_98._col0(Inner),Output:["_col1","_col3"] - <-Map 26 [SIMPLE_EDGE] - SHUFFLE [RS_98] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_18] - <-Reducer 24 [SIMPLE_EDGE] - SHUFFLE [RS_97] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_180] (rows=158402938 width=135) - Conds:RS_94._col0=RS_95._col0(Inner),Output:["_col1","_col2","_col3"] - <-Map 21 [SIMPLE_EDGE] - SHUFFLE [RS_95] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_15] - <-Map 28 [SIMPLE_EDGE] - SHUFFLE [RS_94] - PartitionCols:_col0 - Select Operator [SEL_87] (rows=144002668 width=135) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_170] (rows=144002668 width=135) - predicate:(ws_bill_addr_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) - TableScan [TS_85] (rows=144002668 width=135) - default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_bill_addr_sk","ws_ext_sales_price"] - <-Reducer 4 [CONTAINS] - Reduce Output Operator [RS_115] - PartitionCols:_col0 - Group By Operator [GBY_114] (rows=670816147 width=108) - Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0 - Group By Operator [GBY_35] (rows=383325119 width=88) - Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_34] - PartitionCols:_col0 - Group By Operator [GBY_33] (rows=766650239 width=88) - Output:["_col0","_col1"],aggregations:["sum(_col8)"],keys:_col1 - Merge Join Operator [MERGEJOIN_182] (rows=766650239 width=88) - Conds:RS_29._col0=RS_30._col3(Inner),Output:["_col1","_col8"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_29] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_173] (rows=508200 width=1436) - Conds:RS_26._col1=RS_27._col0(Inner),Output:["_col0","_col1"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_26] - PartitionCols:_col1 - Please refer to the previous Select Operator [SEL_2] - <-Reducer 15 [ONE_TO_ONE_EDGE] - FORWARD [RS_27] - PartitionCols:_col0 - Group By Operator [GBY_8] (rows=115500 width=1436) - Output:["_col0"],keys:KEY._col0 - <-Map 14 [SIMPLE_EDGE] - SHUFFLE [RS_7] - PartitionCols:_col0 - Please refer to the previous Group By Operator [GBY_6] - <-Reducer 20 [SIMPLE_EDGE] - SHUFFLE [RS_30] - PartitionCols:_col3 - Select Operator [SEL_25] (rows=696954748 width=88) - Output:["_col3","_col5"] - Merge Join Operator [MERGEJOIN_175] (rows=696954748 width=88) - Conds:RS_22._col2=RS_23._col0(Inner),Output:["_col1","_col3"] - <-Map 26 [SIMPLE_EDGE] - SHUFFLE [RS_23] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_18] - <-Reducer 19 [SIMPLE_EDGE] - SHUFFLE [RS_22] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_174] (rows=633595212 width=88) - Conds:RS_19._col0=RS_20._col0(Inner),Output:["_col1","_col2","_col3"] - <-Map 21 [SIMPLE_EDGE] - SHUFFLE [RS_20] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_15] - <-Map 18 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Select Operator [SEL_12] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_160] (rows=575995635 width=88) - predicate:(ss_addr_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null) - TableScan [TS_10] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_addr_sk","ss_ext_sales_price"] -
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query34.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query34.q.out b/ql/src/test/results/clientpositive/perf/query34.q.out deleted file mode 100644 index c85b4d0..0000000 --- a/ql/src/test/results/clientpositive/perf/query34.q.out +++ /dev/null @@ -1,156 +0,0 @@ -PREHOOK: query: explain -select c_last_name - ,c_first_name - ,c_salutation - ,c_preferred_cust_flag - ,ss_ticket_number - ,cnt from - (select ss_ticket_number - ,ss_customer_sk - ,count(*) cnt - from store_sales,date_dim,store,household_demographics - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_store_sk = store.s_store_sk - and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk - and (date_dim.d_dom between 1 and 3 or date_dim.d_dom between 25 and 28) - and (household_demographics.hd_buy_potential = '>10000' or - household_demographics.hd_buy_potential = 'unknown') - and household_demographics.hd_vehicle_count > 0 - and (case when household_demographics.hd_vehicle_count > 0 - then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count - else null - end) > 1.2 - and date_dim.d_year in (2000,2000+1,2000+2) - and store.s_county in ('Mobile County','Maverick County','Huron County','Kittitas County', - 'Fairfield County','Jackson County','Barrow County','Pennington County') - group by ss_ticket_number,ss_customer_sk) dn,customer - where ss_customer_sk = c_customer_sk - and cnt between 15 and 20 - order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc -PREHOOK: type: QUERY -POSTHOOK: query: explain -select c_last_name - ,c_first_name - ,c_salutation - ,c_preferred_cust_flag - ,ss_ticket_number - ,cnt from - (select ss_ticket_number - ,ss_customer_sk - ,count(*) cnt - from store_sales,date_dim,store,household_demographics - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_store_sk = store.s_store_sk - and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk - and (date_dim.d_dom between 1 and 3 or date_dim.d_dom between 25 and 28) - and (household_demographics.hd_buy_potential = '>10000' or - household_demographics.hd_buy_potential = 'unknown') - and household_demographics.hd_vehicle_count > 0 - and (case when household_demographics.hd_vehicle_count > 0 - then household_demographics.hd_dep_count/ household_demographics.hd_vehicle_count - else null - end) > 1.2 - and date_dim.d_year in (2000,2000+1,2000+2) - and store.s_county in ('Mobile County','Maverick County','Huron County','Kittitas County', - 'Fairfield County','Jackson County','Barrow County','Pennington County') - group by ss_ticket_number,ss_customer_sk) dn,customer - where ss_customer_sk = c_customer_sk - and cnt between 15 and 20 - order by c_last_name,c_first_name,c_salutation,c_preferred_cust_flag desc -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) -Reducer 3 <- Reducer 2 (SIMPLE_EDGE) -Reducer 5 <- Map 4 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) -Reducer 6 <- Map 10 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Map 11 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE) -Reducer 8 <- Reducer 7 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:-1 - Stage-1 - Reducer 3 - File Output Operator [FS_37] - Select Operator [SEL_36] (rows=88000001 width=860) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_35] - Select Operator [SEL_34] (rows=88000001 width=860) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Merge Join Operator [MERGEJOIN_60] (rows=88000001 width=860) - Conds:RS_31._col0=RS_32._col1(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col7"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_31] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=80000000 width=860) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_52] (rows=80000000 width=860) - predicate: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_salutation","c_first_name","c_last_name","c_preferred_cust_flag"] - <-Reducer 8 [SIMPLE_EDGE] - SHUFFLE [RS_32] - PartitionCols:_col1 - Filter Operator [FIL_29] (rows=42591679 width=88) - predicate:_col2 BETWEEN 15 AND 20 - Select Operator [SEL_28] (rows=383325119 width=88) - Output:["_col0","_col1","_col2"] - Group By Operator [GBY_27] (rows=383325119 width=88) - Output:["_col0","_col1","_col2"],aggregations:["count(VALUE._col0)"],keys:KEY._col0, KEY._col1 - <-Reducer 7 [SIMPLE_EDGE] - SHUFFLE [RS_26] - PartitionCols:_col0, _col1 - Group By Operator [GBY_25] (rows=766650239 width=88) - Output:["_col0","_col1","_col2"],aggregations:["count()"],keys:_col1, _col4 - Merge Join Operator [MERGEJOIN_59] (rows=766650239 width=88) - Conds:RS_21._col3=RS_22._col0(Inner),Output:["_col1","_col4"] - <-Map 11 [SIMPLE_EDGE] - SHUFFLE [RS_22] - PartitionCols:_col0 - Select Operator [SEL_14] (rows=852 width=1910) - Output:["_col0"] - Filter Operator [FIL_56] (rows=852 width=1910) - predicate:((s_county) IN ('Mobile County', 'Maverick County', 'Huron County', 'Kittitas County', 'Fairfield County', 'Jackson County', 'Barrow County', 'Pennington County') and s_store_sk is not null) - TableScan [TS_12] (rows=1704 width=1910) - default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_county"] - <-Reducer 6 [SIMPLE_EDGE] - SHUFFLE [RS_21] - PartitionCols:_col3 - Merge Join Operator [MERGEJOIN_58] (rows=696954748 width=88) - Conds:RS_18._col2=RS_19._col0(Inner),Output:["_col1","_col3","_col4"] - <-Map 10 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=1200 width=107) - Output:["_col0"] - Filter Operator [FIL_55] (rows=1200 width=107) - predicate:(((hd_buy_potential = '>10000') or (hd_buy_potential = 'unknown')) and (hd_vehicle_count > 0) and CASE WHEN ((hd_vehicle_count > 0)) THEN (((UDFToDouble(hd_dep_count) / UDFToDouble(hd_vehicle_count)) > 1.2)) ELSE (null) END and hd_demo_sk is not null) - TableScan [TS_9] (rows=7200 width=107) - default@household_demographics,household_demographics,Tbl:COMPLETE,Col:NONE,Output:["hd_demo_sk","hd_buy_potential","hd_dep_count","hd_vehicle_count"] - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_57] (rows=633595212 width=88) - Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1","_col2","_col3","_col4"] - <-Map 4 [SIMPLE_EDGE] - SHUFFLE [RS_15] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_53] (rows=575995635 width=88) - predicate:(ss_customer_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) - TableScan [TS_3] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk","ss_hdemo_sk","ss_store_sk","ss_ticket_number"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=8116 width=1119) - Output:["_col0"] - Filter Operator [FIL_54] (rows=8116 width=1119) - predicate:((d_dom BETWEEN 1 AND 3 or d_dom BETWEEN 25 AND 28) and (d_year) IN (2000, 2001, 2002) and d_date_sk is not null) - TableScan [TS_6] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_dom"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query35.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query35.q.out b/ql/src/test/results/clientpositive/perf/query35.q.out deleted file mode 100644 index a72f578..0000000 --- a/ql/src/test/results/clientpositive/perf/query35.q.out +++ /dev/null @@ -1,284 +0,0 @@ -PREHOOK: query: explain -select - ca_state, - cd_gender, - cd_marital_status, - count(*) cnt1, - avg(cd_dep_count), - max(cd_dep_count), - sum(cd_dep_count), - cd_dep_employed_count, - count(*) cnt2, - avg(cd_dep_employed_count), - max(cd_dep_employed_count), - sum(cd_dep_employed_count), - cd_dep_college_count, - count(*) cnt3, - avg(cd_dep_college_count), - max(cd_dep_college_count), - sum(cd_dep_college_count) - from - customer c,customer_address ca,customer_demographics - where - c.c_current_addr_sk = ca.ca_address_sk and - cd_demo_sk = c.c_current_cdemo_sk and - exists (select * - from store_sales,date_dim - where c.c_customer_sk = ss_customer_sk and - ss_sold_date_sk = d_date_sk and - d_year = 1999 and - d_qoy < 4) and - (exists (select * - from web_sales,date_dim - where c.c_customer_sk = ws_bill_customer_sk and - ws_sold_date_sk = d_date_sk and - d_year = 1999 and - d_qoy < 4) or - exists (select * - from catalog_sales,date_dim - where c.c_customer_sk = cs_ship_customer_sk and - cs_sold_date_sk = d_date_sk and - d_year = 1999 and - d_qoy < 4)) - group by ca_state, - cd_gender, - cd_marital_status, - cd_dep_count, - cd_dep_employed_count, - cd_dep_college_count - order by ca_state, - cd_gender, - cd_marital_status, - cd_dep_count, - cd_dep_employed_count, - cd_dep_college_count - limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select - ca_state, - cd_gender, - cd_marital_status, - count(*) cnt1, - avg(cd_dep_count), - max(cd_dep_count), - sum(cd_dep_count), - cd_dep_employed_count, - count(*) cnt2, - avg(cd_dep_employed_count), - max(cd_dep_employed_count), - sum(cd_dep_employed_count), - cd_dep_college_count, - count(*) cnt3, - avg(cd_dep_college_count), - max(cd_dep_college_count), - sum(cd_dep_college_count) - from - customer c,customer_address ca,customer_demographics - where - c.c_current_addr_sk = ca.ca_address_sk and - cd_demo_sk = c.c_current_cdemo_sk and - exists (select * - from store_sales,date_dim - where c.c_customer_sk = ss_customer_sk and - ss_sold_date_sk = d_date_sk and - d_year = 1999 and - d_qoy < 4) and - (exists (select * - from web_sales,date_dim - where c.c_customer_sk = ws_bill_customer_sk and - ws_sold_date_sk = d_date_sk and - d_year = 1999 and - d_qoy < 4) or - exists (select * - from catalog_sales,date_dim - where c.c_customer_sk = cs_ship_customer_sk and - cs_sold_date_sk = d_date_sk and - d_year = 1999 and - d_qoy < 4)) - group by ca_state, - cd_gender, - cd_marital_status, - cd_dep_count, - cd_dep_employed_count, - cd_dep_college_count - order by ca_state, - cd_gender, - cd_marital_status, - cd_dep_count, - cd_dep_employed_count, - cd_dep_college_count - limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 11 <- Map 10 (SIMPLE_EDGE), Map 13 (SIMPLE_EDGE) -Reducer 12 <- Reducer 11 (SIMPLE_EDGE) -Reducer 14 <- Map 13 (SIMPLE_EDGE), Map 18 (SIMPLE_EDGE) -Reducer 15 <- Reducer 14 (SIMPLE_EDGE) -Reducer 16 <- Map 13 (SIMPLE_EDGE), Map 19 (SIMPLE_EDGE) -Reducer 17 <- Reducer 16 (SIMPLE_EDGE) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 12 (ONE_TO_ONE_EDGE), Reducer 15 (ONE_TO_ONE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 17 (ONE_TO_ONE_EDGE), Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:-1 - Stage-1 - Reducer 7 - File Output Operator [FS_75] - Limit [LIM_73] (rows=100 width=88) - Number of rows:100 - Select Operator [SEL_72] (rows=383325119 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16"] - <-Reducer 6 [SIMPLE_EDGE] - SHUFFLE [RS_71] - Select Operator [SEL_70] (rows=383325119 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col9","_col10","_col11","_col12","_col14","_col15","_col16","_col17"] - Group By Operator [GBY_69] (rows=383325119 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15"],aggregations:["count(VALUE._col0)","avg(VALUE._col1)","max(VALUE._col2)","sum(VALUE._col3)","avg(VALUE._col4)","max(VALUE._col5)","sum(VALUE._col6)","avg(VALUE._col7)","max(VALUE._col8)","sum(VALUE._col9)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5 - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_68] - PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5 - Group By Operator [GBY_67] (rows=766650239 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15"],aggregations:["count()","avg(_col8)","max(_col8)","sum(_col8)","avg(_col9)","max(_col9)","sum(_col9)","avg(_col10)","max(_col10)","sum(_col10)"],keys:_col4, _col6, _col7, _col8, _col9, _col10 - Select Operator [SEL_66] (rows=766650239 width=88) - Output:["_col4","_col6","_col7","_col8","_col9","_col10"] - Filter Operator [FIL_65] (rows=766650239 width=88) - predicate:(_col13 is not null or _col15 is not null) - Merge Join Operator [MERGEJOIN_113] (rows=766650239 width=88) - Conds:RS_62._col0=RS_63._col0(Left Outer),Output:["_col4","_col6","_col7","_col8","_col9","_col10","_col13","_col15"] - <-Reducer 17 [ONE_TO_ONE_EDGE] - FORWARD [RS_63] - PartitionCols:_col0 - Select Operator [SEL_61] (rows=158394413 width=135) - Output:["_col0","_col1"] - Group By Operator [GBY_60] (rows=158394413 width=135) - Output:["_col0"],keys:KEY._col0 - <-Reducer 16 [SIMPLE_EDGE] - SHUFFLE [RS_59] - PartitionCols:_col0 - Group By Operator [GBY_58] (rows=316788826 width=135) - Output:["_col0"],keys:_col1 - Merge Join Operator [MERGEJOIN_111] (rows=316788826 width=135) - Conds:RS_54._col0=RS_55._col0(Inner),Output:["_col1"] - <-Map 13 [SIMPLE_EDGE] - SHUFFLE [RS_55] - PartitionCols:_col0 - Select Operator [SEL_14] (rows=12174 width=1119) - Output:["_col0"] - Filter Operator [FIL_102] (rows=12174 width=1119) - predicate:((d_qoy < 4) and (d_year = 1999) 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","d_qoy"] - <-Map 19 [SIMPLE_EDGE] - SHUFFLE [RS_54] - PartitionCols:_col0 - Select Operator [SEL_50] (rows=287989836 width=135) - Output:["_col0","_col1"] - Filter Operator [FIL_105] (rows=287989836 width=135) - predicate:(cs_ship_customer_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_48] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_ship_customer_sk"] - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_62] - PartitionCols:_col0 - Select Operator [SEL_47] (rows=696954748 width=88) - Output:["_col0","_col4","_col6","_col7","_col8","_col9","_col10","_col13"] - Merge Join Operator [MERGEJOIN_112] (rows=696954748 width=88) - Conds:RS_43._col0=RS_44._col0(Left Outer),RS_43._col0=RS_45._col0(Inner),Output:["_col0","_col4","_col6","_col7","_col8","_col9","_col10","_col12"] - <-Reducer 12 [ONE_TO_ONE_EDGE] - FORWARD [RS_44] - PartitionCols:_col0 - Select Operator [SEL_22] (rows=79201469 width=135) - Output:["_col0","_col1"] - Group By Operator [GBY_21] (rows=79201469 width=135) - Output:["_col0"],keys:KEY._col0 - <-Reducer 11 [SIMPLE_EDGE] - SHUFFLE [RS_20] - PartitionCols:_col0 - Group By Operator [GBY_19] (rows=158402938 width=135) - Output:["_col0"],keys:_col1 - Merge Join Operator [MERGEJOIN_109] (rows=158402938 width=135) - Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1"] - <-Map 13 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_14] - <-Map 10 [SIMPLE_EDGE] - SHUFFLE [RS_15] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=144002668 width=135) - Output:["_col0","_col1"] - Filter Operator [FIL_101] (rows=144002668 width=135) - predicate:(ws_bill_customer_sk is not null and ws_sold_date_sk is not null) - TableScan [TS_9] (rows=144002668 width=135) - default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_bill_customer_sk"] - <-Reducer 15 [ONE_TO_ONE_EDGE] - FORWARD [RS_45] - PartitionCols:_col0 - Group By Operator [GBY_35] (rows=316797606 width=88) - Output:["_col0"],keys:KEY._col0 - <-Reducer 14 [SIMPLE_EDGE] - SHUFFLE [RS_34] - PartitionCols:_col0 - Group By Operator [GBY_33] (rows=633595212 width=88) - Output:["_col0"],keys:_col1 - Merge Join Operator [MERGEJOIN_110] (rows=633595212 width=88) - Conds:RS_29._col0=RS_30._col0(Inner),Output:["_col1"] - <-Map 13 [SIMPLE_EDGE] - SHUFFLE [RS_30] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_14] - <-Map 18 [SIMPLE_EDGE] - SHUFFLE [RS_29] - PartitionCols:_col0 - Select Operator [SEL_25] (rows=575995635 width=88) - Output:["_col0","_col1"] - Filter Operator [FIL_103] (rows=575995635 width=88) - predicate:(ss_customer_sk is not null and ss_sold_date_sk is not null) - TableScan [TS_23] (rows=575995635 width=88) - default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_customer_sk"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_43] - PartitionCols:_col0 - Merge Join Operator [MERGEJOIN_108] (rows=96800003 width=860) - Conds:RS_40._col1=RS_41._col0(Inner),Output:["_col0","_col4","_col6","_col7","_col8","_col9","_col10"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_41] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=1861800 width=385) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - Filter Operator [FIL_100] (rows=1861800 width=385) - predicate:cd_demo_sk is not null - TableScan [TS_6] (rows=1861800 width=385) - default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_gender","cd_marital_status","cd_dep_count","cd_dep_employed_count","cd_dep_college_count"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_40] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_107] (rows=88000001 width=860) - Conds:RS_37._col2=RS_38._col0(Inner),Output:["_col0","_col1","_col4"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_37] - PartitionCols:_col2 - Select Operator [SEL_2] (rows=80000000 width=860) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_98] (rows=80000000 width=860) - predicate:(c_current_addr_sk is not null and c_current_cdemo_sk is not null) - TableScan [TS_0] (rows=80000000 width=860) - default@customer,c,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_cdemo_sk","c_current_addr_sk"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_38] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=40000000 width=1014) - Output:["_col0","_col1"] - Filter Operator [FIL_99] (rows=40000000 width=1014) - predicate:ca_address_sk is not null - TableScan [TS_3] (rows=40000000 width=1014) - default@customer_address,ca,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query36.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query36.q.out b/ql/src/test/results/clientpositive/perf/query36.q.out deleted file mode 100644 index dee62b5..0000000 --- a/ql/src/test/results/clientpositive/perf/query36.q.out +++ /dev/null @@ -1,149 +0,0 @@ -PREHOOK: query: explain -select - sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin - ,i_category - ,i_class - ,grouping(i_category)+grouping(i_class) as lochierarchy - ,rank() over ( - partition by grouping(i_category)+grouping(i_class), - case when grouping(i_class) = 0 then i_category end - order by sum(ss_net_profit)/sum(ss_ext_sales_price) asc) as rank_within_parent - from - store_sales - ,date_dim d1 - ,item - ,store - where - d1.d_year = 1999 - and d1.d_date_sk = ss_sold_date_sk - and i_item_sk = ss_item_sk - and s_store_sk = ss_store_sk - and s_state in ('SD','FL','MI','LA', - 'MO','SC','AL','GA') - group by rollup(i_category,i_class) - order by - lochierarchy desc - ,case when lochierarchy = 0 then i_category end - ,rank_within_parent - limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select - sum(ss_net_profit)/sum(ss_ext_sales_price) as gross_margin - ,i_category - ,i_class - ,grouping(i_category)+grouping(i_class) as lochierarchy - ,rank() over ( - partition by grouping(i_category)+grouping(i_class), - case when grouping(i_class) = 0 then i_category end - order by sum(ss_net_profit)/sum(ss_ext_sales_price) asc) as rank_within_parent - from - store_sales - ,date_dim d1 - ,item - ,store - where - d1.d_year = 1999 - and d1.d_date_sk = ss_sold_date_sk - and i_item_sk = ss_item_sk - and s_store_sk = ss_store_sk - and s_state in ('SD','FL','MI','LA', - 'MO','SC','AL','GA') - group by rollup(i_category,i_class) - order by - lochierarchy desc - ,case when lochierarchy = 0 then i_category end - ,rank_within_parent - limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Map 10 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) -Reducer 5 <- Reducer 4 (SIMPLE_EDGE) -Reducer 6 <- Reducer 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:-1 - Stage-1 - Reducer 7 - File Output Operator [FS_36] - Limit [LIM_34] (rows=100 width=88) - Number of rows:100 - Select Operator [SEL_33] (rows=1149975358 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"] - <-Reducer 6 [SIMPLE_EDGE] - SHUFFLE [RS_32] - Select Operator [SEL_30] (rows=1149975358 width=88) - Output:["_col0","_col1","_col2","_col3","_col4","_col5"] - PTF Operator [PTF_29] (rows=1149975358 width=88) - Function definitions:[{},{"name:":"windowingtablefunction","order by:":"(_col4 / _col5) ASC NULLS FIRST","partition by:":"(grouping(_col6, 1) + grouping(_col6, 0)), CASE WHEN ((grouping(_col6, 0) = 0)) THEN (_col0) ELSE (null) END"}] - Select Operator [SEL_28] (rows=1149975358 width=88) - Output:["_col0","_col1","_col4","_col5","_col6"] - <-Reducer 5 [SIMPLE_EDGE] - SHUFFLE [RS_27] - PartitionCols:(grouping(_col6, 1) + grouping(_col6, 0)), CASE WHEN ((grouping(_col6, 0) = 0)) THEN (_col0) ELSE (null) END - Select Operator [SEL_26] (rows=1149975358 width=88) - Output:["_col0","_col1","_col4","_col5","_col6"] - Group By Operator [GBY_25] (rows=1149975358 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Reducer 4 [SIMPLE_EDGE] - SHUFFLE [RS_24] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_23] (rows=2299950717 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"],aggregations:["sum(_col2)","sum(_col3)"],keys:_col0, _col1, 0 - Select Operator [SEL_21] (rows=766650239 width=88) - Output:["_col0","_col1","_col2","_col3"] - Merge Join Operator [MERGEJOIN_52] (rows=766650239 width=88) - Conds:RS_18._col1=RS_19._col0(Inner),Output:["_col3","_col4","_col10","_col11"] - <-Map 10 [SIMPLE_EDGE] - SHUFFLE [RS_19] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=462000 width=1436) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_49] (rows=462000 width=1436) - predicate:i_item_sk is not null - TableScan [TS_9] (rows=462000 width=1436) - default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_class","i_category"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_51] (rows=696954748 width=88) - Conds:RS_15._col2=RS_16._col0(Inner),Output:["_col1","_col3","_col4"] - <-Map 9 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=852 width=1910) - Output:["_col0"] - Filter Operator [FIL_48] (rows=852 width=1910) - predicate:((s_state) IN ('SD', 'FL', 'MI', 'LA', 'MO', 'SC', 'AL', 'GA') and s_store_sk is not null) - TableScan [TS_6] (rows=1704 width=1910) - default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_state"] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_15] - PartitionCols:_col2 - Merge Join Operator [MERGEJOIN_50] (rows=633595212 width=88) - Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col1","_col2","_col3","_col4"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=575995635 width=88) - Output:["_col0","_col1","_col2","_col3","_col4"] - Filter Operator [FIL_46] (rows=575995635 width=88) - predicate:(ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk 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_store_sk","ss_ext_sales_price","ss_net_profit"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=36524 width=1119) - Output:["_col0"] - Filter Operator [FIL_47] (rows=36524 width=1119) - predicate:((d_year = 1999) 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_year"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query37.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query37.q.out b/ql/src/test/results/clientpositive/perf/query37.q.out deleted file mode 100644 index d5af964..0000000 --- a/ql/src/test/results/clientpositive/perf/query37.q.out +++ /dev/null @@ -1,103 +0,0 @@ -PREHOOK: query: explain -select i_item_id - ,i_item_desc - ,i_current_price - from item, inventory, date_dim, catalog_sales - where i_current_price between 22 and 22 + 30 - and inv_item_sk = i_item_sk - and d_date_sk=inv_date_sk - and d_date between cast('2001-06-02' as date) and (cast('2001-06-02' as date) + 60 days) - and i_manufact_id in (678,964,918,849) - and inv_quantity_on_hand between 100 and 500 - and cs_item_sk = i_item_sk - group by i_item_id,i_item_desc,i_current_price - order by i_item_id - limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select i_item_id - ,i_item_desc - ,i_current_price - from item, inventory, date_dim, catalog_sales - where i_current_price between 22 and 22 + 30 - and inv_item_sk = i_item_sk - and d_date_sk=inv_date_sk - and d_date between cast('2001-06-02' as date) and (cast('2001-06-02' as date) + 60 days) - and i_manufact_id in (678,964,918,849) - and inv_quantity_on_hand between 100 and 500 - and cs_item_sk = i_item_sk - group by i_item_id,i_item_desc,i_current_price - order by i_item_id - limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) -Reducer 3 <- Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE) -Reducer 7 <- Map 6 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 4 - File Output Operator [FS_28] - Limit [LIM_27] (rows=100 width=135) - Number of rows:100 - Select Operator [SEL_26] (rows=316788826 width=135) - Output:["_col0","_col1","_col2"] - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_25] - Group By Operator [GBY_23] (rows=316788826 width=135) - Output:["_col0","_col1","_col2"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_22] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_21] (rows=633577652 width=135) - Output:["_col0","_col1","_col2"],keys:_col2, _col3, _col4 - Merge Join Operator [MERGEJOIN_44] (rows=633577652 width=135) - Conds:RS_16._col0=RS_17._col0(Inner),RS_17._col0=RS_18._col1(Inner),Output:["_col2","_col3","_col4"] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_16] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=287989836 width=135) - Output:["_col0"] - Filter Operator [FIL_39] (rows=287989836 width=135) - predicate:cs_item_sk is not null - TableScan [TS_0] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_item_sk"] - <-Map 5 [SIMPLE_EDGE] - SHUFFLE [RS_17] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=25666 width=1436) - Output:["_col0","_col1","_col2","_col3"] - Filter Operator [FIL_40] (rows=25666 width=1436) - predicate:((i_manufact_id) IN (678, 964, 918, 849) and i_current_price BETWEEN 22 AND 52 and i_item_sk is not null) - TableScan [TS_3] (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_manufact_id"] - <-Reducer 7 [SIMPLE_EDGE] - SHUFFLE [RS_18] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_43] (rows=4593600 width=15) - Conds:RS_12._col0=RS_13._col0(Inner),Output:["_col1"] - <-Map 6 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=4176000 width=15) - Output:["_col0","_col1"] - Filter Operator [FIL_41] (rows=4176000 width=15) - predicate:(inv_date_sk is not null and inv_item_sk is not null and inv_quantity_on_hand BETWEEN 100 AND 500) - TableScan [TS_6] (rows=37584000 width=15) - default@inventory,inventory,Tbl:COMPLETE,Col:NONE,Output:["inv_date_sk","inv_item_sk","inv_quantity_on_hand"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Select Operator [SEL_11] (rows=8116 width=1119) - Output:["_col0"] - Filter Operator [FIL_42] (rows=8116 width=1119) - predicate:(CAST( d_date AS TIMESTAMP) BETWEEN 2001-06-02 00:00:00.0 AND 2001-08-01 00:00:00.0 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_date"] - http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/query38.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/query38.q.out b/ql/src/test/results/clientpositive/perf/query38.q.out deleted file mode 100644 index 199bed7..0000000 --- a/ql/src/test/results/clientpositive/perf/query38.q.out +++ /dev/null @@ -1,212 +0,0 @@ -PREHOOK: query: explain -select count(*) from ( - select distinct c_last_name, c_first_name, d_date - from store_sales, date_dim, customer - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212 + 11 - intersect - select distinct c_last_name, c_first_name, d_date - from catalog_sales, date_dim, customer - where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk - and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212 + 11 - intersect - select distinct c_last_name, c_first_name, d_date - from web_sales, date_dim, customer - where web_sales.ws_sold_date_sk = date_dim.d_date_sk - and web_sales.ws_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212 + 11 -) hot_cust -limit 100 -PREHOOK: type: QUERY -POSTHOOK: query: explain -select count(*) from ( - select distinct c_last_name, c_first_name, d_date - from store_sales, date_dim, customer - where store_sales.ss_sold_date_sk = date_dim.d_date_sk - and store_sales.ss_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212 + 11 - intersect - select distinct c_last_name, c_first_name, d_date - from catalog_sales, date_dim, customer - where catalog_sales.cs_sold_date_sk = date_dim.d_date_sk - and catalog_sales.cs_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212 + 11 - intersect - select distinct c_last_name, c_first_name, d_date - from web_sales, date_dim, customer - where web_sales.ws_sold_date_sk = date_dim.d_date_sk - and web_sales.ws_bill_customer_sk = customer.c_customer_sk - and d_month_seq between 1212 and 1212 + 11 -) hot_cust -limit 100 -POSTHOOK: type: QUERY -Plan optimized by CBO. - -Vertex dependency in root stage -Reducer 10 <- Map 15 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) -Reducer 11 <- Reducer 10 (SIMPLE_EDGE), Union 5 (CONTAINS) -Reducer 12 <- Map 17 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 13 <- Map 15 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE) -Reducer 14 <- Reducer 13 (SIMPLE_EDGE), Union 5 (CONTAINS) -Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) -Reducer 3 <- Map 15 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) -Reducer 4 <- Reducer 3 (SIMPLE_EDGE), Union 5 (CONTAINS) -Reducer 6 <- Union 5 (SIMPLE_EDGE) -Reducer 7 <- Reducer 6 (CUSTOM_SIMPLE_EDGE) -Reducer 9 <- Map 16 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) - -Stage-0 - Fetch Operator - limit:100 - Stage-1 - Reducer 7 - File Output Operator [FS_89] - Limit [LIM_88] (rows=1 width=16) - Number of rows:100 - Group By Operator [GBY_86] (rows=1 width=16) - Output:["_col0"],aggregations:["count(VALUE._col0)"] - <-Reducer 6 [CUSTOM_SIMPLE_EDGE] - PARTITION_ONLY_SHUFFLE [RS_85] - Group By Operator [GBY_84] (rows=1 width=16) - Output:["_col0"],aggregations:["count()"] - Select Operator [SEL_82] (rows=1 width=108) - Filter Operator [FIL_81] (rows=1 width=108) - predicate:(_col3 = 3) - Select Operator [SEL_114] (rows=152458212 width=108) - Output:["_col3"] - Group By Operator [GBY_80] (rows=152458212 width=108) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Union 5 [SIMPLE_EDGE] - <-Reducer 11 [CONTAINS] - Reduce Output Operator [RS_79] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_78] (rows=304916424 width=108) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count(_col3)"],keys:_col0, _col1, _col2 - Group By Operator [GBY_48] (rows=87116929 width=135) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count()"],keys:_col1, _col0, _col2 - Select Operator [SEL_44] (rows=174233858 width=135) - Output:["_col0","_col1","_col2"] - Group By Operator [GBY_43] (rows=174233858 width=135) - Output:["_col0","_col1","_col2"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Reducer 10 [SIMPLE_EDGE] - SHUFFLE [RS_42] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_41] (rows=348467716 width=135) - Output:["_col0","_col1","_col2"],keys:_col7, _col6, _col3 - Merge Join Operator [MERGEJOIN_118] (rows=348467716 width=135) - Conds:RS_37._col1=RS_38._col0(Inner),Output:["_col3","_col6","_col7"] - <-Map 15 [SIMPLE_EDGE] - SHUFFLE [RS_38] - PartitionCols:_col0 - Select Operator [SEL_8] (rows=80000000 width=860) - Output:["_col0","_col1","_col2"] - Filter Operator [FIL_107] (rows=80000000 width=860) - predicate:c_customer_sk is not null - TableScan [TS_6] (rows=80000000 width=860) - default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_first_name","c_last_name"] - <-Reducer 9 [SIMPLE_EDGE] - SHUFFLE [RS_37] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_117] (rows=316788826 width=135) - Conds:RS_34._col0=RS_35._col0(Inner),Output:["_col1","_col3"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_35] - PartitionCols:_col0 - Select Operator [SEL_5] (rows=8116 width=1119) - Output:["_col0","_col1"] - Filter Operator [FIL_106] (rows=8116 width=1119) - predicate:(d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) - TableScan [TS_3] (rows=73049 width=1119) - default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_date","d_month_seq"] - <-Map 16 [SIMPLE_EDGE] - SHUFFLE [RS_34] - PartitionCols:_col0 - Select Operator [SEL_27] (rows=287989836 width=135) - Output:["_col0","_col1"] - Filter Operator [FIL_108] (rows=287989836 width=135) - predicate:(cs_bill_customer_sk is not null and cs_sold_date_sk is not null) - TableScan [TS_25] (rows=287989836 width=135) - default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_sold_date_sk","cs_bill_customer_sk"] - <-Reducer 14 [CONTAINS] - Reduce Output Operator [RS_79] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_78] (rows=304916424 width=108) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count(_col3)"],keys:_col0, _col1, _col2 - Group By Operator [GBY_74] (rows=43560808 width=135) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count()"],keys:_col1, _col0, _col2 - Select Operator [SEL_70] (rows=87121617 width=135) - Output:["_col0","_col1","_col2"] - Group By Operator [GBY_69] (rows=87121617 width=135) - Output:["_col0","_col1","_col2"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Reducer 13 [SIMPLE_EDGE] - SHUFFLE [RS_68] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_67] (rows=174243235 width=135) - Output:["_col0","_col1","_col2"],keys:_col7, _col6, _col3 - Merge Join Operator [MERGEJOIN_120] (rows=174243235 width=135) - Conds:RS_63._col1=RS_64._col0(Inner),Output:["_col3","_col6","_col7"] - <-Map 15 [SIMPLE_EDGE] - SHUFFLE [RS_64] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 12 [SIMPLE_EDGE] - SHUFFLE [RS_63] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_119] (rows=158402938 width=135) - Conds:RS_60._col0=RS_61._col0(Inner),Output:["_col1","_col3"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_61] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_5] - <-Map 17 [SIMPLE_EDGE] - SHUFFLE [RS_60] - PartitionCols:_col0 - Select Operator [SEL_53] (rows=144002668 width=135) - Output:["_col0","_col1"] - Filter Operator [FIL_111] (rows=144002668 width=135) - predicate:(ws_bill_customer_sk is not null and ws_sold_date_sk is not null) - TableScan [TS_51] (rows=144002668 width=135) - default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_bill_customer_sk"] - <-Reducer 4 [CONTAINS] - Reduce Output Operator [RS_79] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_78] (rows=304916424 width=108) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count(_col3)"],keys:_col0, _col1, _col2 - Group By Operator [GBY_23] (rows=174238687 width=88) - Output:["_col0","_col1","_col2","_col3"],aggregations:["count()"],keys:_col1, _col0, _col2 - Select Operator [SEL_19] (rows=348477374 width=88) - Output:["_col0","_col1","_col2"] - Group By Operator [GBY_18] (rows=348477374 width=88) - Output:["_col0","_col1","_col2"],keys:KEY._col0, KEY._col1, KEY._col2 - <-Reducer 3 [SIMPLE_EDGE] - SHUFFLE [RS_17] - PartitionCols:_col0, _col1, _col2 - Group By Operator [GBY_16] (rows=696954748 width=88) - Output:["_col0","_col1","_col2"],keys:_col7, _col6, _col3 - Merge Join Operator [MERGEJOIN_116] (rows=696954748 width=88) - Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col3","_col6","_col7"] - <-Map 15 [SIMPLE_EDGE] - SHUFFLE [RS_13] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_8] - <-Reducer 2 [SIMPLE_EDGE] - SHUFFLE [RS_12] - PartitionCols:_col1 - Merge Join Operator [MERGEJOIN_115] (rows=633595212 width=88) - Conds:RS_9._col0=RS_10._col0(Inner),Output:["_col1","_col3"] - <-Map 8 [SIMPLE_EDGE] - SHUFFLE [RS_10] - PartitionCols:_col0 - Please refer to the previous Select Operator [SEL_5] - <-Map 1 [SIMPLE_EDGE] - SHUFFLE [RS_9] - PartitionCols:_col0 - Select Operator [SEL_2] (rows=575995635 width=88) - Output:["_col0","_col1"] - Filter Operator [FIL_105] (rows=575995635 width=88) - predicate:(ss_customer_sk is not null and ss_sold_date_sk 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_customer_sk"] -
