http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query33.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query33.q.out b/ql/src/test/results/clientpositive/perf/tez/query33.q.out new file mode 100644 index 0000000..0810c28 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query33.q.out @@ -0,0 +1,393 @@ +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/tez/query34.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query34.q.out b/ql/src/test/results/clientpositive/perf/tez/query34.q.out new file mode 100644 index 0000000..c85b4d0 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query34.q.out @@ -0,0 +1,156 @@ +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/tez/query35.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query35.q.out b/ql/src/test/results/clientpositive/perf/tez/query35.q.out new file mode 100644 index 0000000..a72f578 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query35.q.out @@ -0,0 +1,284 @@ +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/tez/query36.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query36.q.out b/ql/src/test/results/clientpositive/perf/tez/query36.q.out new file mode 100644 index 0000000..dee62b5 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query36.q.out @@ -0,0 +1,149 @@ +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/tez/query37.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query37.q.out b/ql/src/test/results/clientpositive/perf/tez/query37.q.out new file mode 100644 index 0000000..d5af964 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query37.q.out @@ -0,0 +1,103 @@ +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/tez/query38.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query38.q.out b/ql/src/test/results/clientpositive/perf/tez/query38.q.out new file mode 100644 index 0000000..199bed7 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query38.q.out @@ -0,0 +1,212 @@ +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"] +
