http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query81.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query81.q.out b/ql/src/test/results/clientpositive/perf/tez/query81.q.out new file mode 100644 index 0000000..5fb04b2 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query81.q.out @@ -0,0 +1,214 @@ +PREHOOK: query: explain +with customer_total_return as + (select cr_returning_customer_sk as ctr_customer_sk + ,ca_state as ctr_state, + sum(cr_return_amt_inc_tax) as ctr_total_return + from catalog_returns + ,date_dim + ,customer_address + where cr_returned_date_sk = d_date_sk + and d_year =1998 + and cr_returning_addr_sk = ca_address_sk + group by cr_returning_customer_sk + ,ca_state ) + select c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name + ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset + ,ca_location_type,ctr_total_return + from customer_total_return ctr1 + ,customer_address + ,customer + where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 + from customer_total_return ctr2 + where ctr1.ctr_state = ctr2.ctr_state) + and ca_address_sk = c_current_addr_sk + and ca_state = 'IL' + and ctr1.ctr_customer_sk = c_customer_sk + order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name + ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset + ,ca_location_type,ctr_total_return + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +with customer_total_return as + (select cr_returning_customer_sk as ctr_customer_sk + ,ca_state as ctr_state, + sum(cr_return_amt_inc_tax) as ctr_total_return + from catalog_returns + ,date_dim + ,customer_address + where cr_returned_date_sk = d_date_sk + and d_year =1998 + and cr_returning_addr_sk = ca_address_sk + group by cr_returning_customer_sk + ,ca_state ) + select c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name + ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset + ,ca_location_type,ctr_total_return + from customer_total_return ctr1 + ,customer_address + ,customer + where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2 + from customer_total_return ctr2 + where ctr1.ctr_state = ctr2.ctr_state) + and ca_address_sk = c_current_addr_sk + and ca_state = 'IL' + and ctr1.ctr_customer_sk = c_customer_sk + order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name + ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset + ,ca_location_type,ctr_total_return + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Reducer 13 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) +Reducer 11 <- Map 14 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE) +Reducer 12 <- Map 15 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE) +Reducer 13 <- Reducer 12 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE) +Reducer 3 <- Reducer 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +Reducer 7 <- Map 14 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE) +Reducer 8 <- Map 15 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) +Reducer 9 <- Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:-1 + Stage-1 + Reducer 4 + File Output Operator [FS_67] + Select Operator [SEL_66] (rows=100 width=860) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15"] + Limit [LIM_65] (rows=100 width=860) + Number of rows:100 + Select Operator [SEL_64] (rows=96800003 width=860) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_63] + Select Operator [SEL_62] (rows=96800003 width=860) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"] + Merge Join Operator [MERGEJOIN_108] (rows=96800003 width=860) + Conds:RS_59._col0=RS_60._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col7","_col8","_col9","_col10","_col11","_col12","_col14","_col15","_col16","_col17","_col20"] + <-Reducer 10 [SIMPLE_EDGE] + SHUFFLE [RS_60] + PartitionCols:_col0 + Select Operator [SEL_55] (rows=8066666 width=1014) + Output:["_col0","_col2"] + Filter Operator [FIL_54] (rows=8066666 width=1014) + predicate:(_col2 > CASE WHEN (_col4 is null) THEN (null) ELSE (_col3) END) + Merge Join Operator [MERGEJOIN_107] (rows=24200000 width=1014) + Conds:RS_51._col1=RS_52._col2(Inner),Output:["_col0","_col2","_col3","_col4"] + <-Reducer 13 [SIMPLE_EDGE] + SHUFFLE [RS_52] + PartitionCols:_col2 + Select Operator [SEL_50] (rows=11000000 width=1014) + Output:["_col0","_col1","_col2"] + Group By Operator [GBY_49] (rows=11000000 width=1014) + Output:["_col0","_col1"],aggregations:["avg(_col2)"],keys:_col0 + Select Operator [SEL_45] (rows=22000000 width=1014) + Output:["_col0","_col2"] + Group By Operator [GBY_44] (rows=22000000 width=1014) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1 + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_43] + PartitionCols:_col0 + Group By Operator [GBY_42] (rows=44000000 width=1014) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col7, _col1 + Merge Join Operator [MERGEJOIN_106] (rows=44000000 width=1014) + Conds:RS_38._col2=RS_39._col0(Inner),Output:["_col1","_col3","_col7"] + <-Map 15 [SIMPLE_EDGE] + SHUFFLE [RS_39] + PartitionCols:_col0 + Select Operator [SEL_34] (rows=40000000 width=1014) + Output:["_col0","_col1"] + Filter Operator [FIL_101] (rows=40000000 width=1014) + predicate:(ca_address_sk is not null and ca_state is not null) + TableScan [TS_12] (rows=40000000 width=1014) + default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state"] + <-Reducer 11 [SIMPLE_EDGE] + SHUFFLE [RS_38] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_105] (rows=31678769 width=106) + Conds:RS_35._col0=RS_36._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_36] + PartitionCols:_col0 + Select Operator [SEL_11] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_97] (rows=36524 width=1119) + predicate:((d_year = 1998) and d_date_sk is not null) + TableScan [TS_9] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Map 6 [SIMPLE_EDGE] + SHUFFLE [RS_35] + PartitionCols:_col0 + Select Operator [SEL_28] (rows=28798881 width=106) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_99] (rows=28798881 width=106) + predicate:(cr_returned_date_sk is not null and cr_returning_addr_sk is not null) + TableScan [TS_6] (rows=28798881 width=106) + default@catalog_returns,catalog_returns,Tbl:COMPLETE,Col:NONE,Output:["cr_returned_date_sk","cr_returning_customer_sk","cr_returning_addr_sk","cr_return_amt_inc_tax"] + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_51] + PartitionCols:_col1 + Select Operator [SEL_25] (rows=22000000 width=1014) + Output:["_col0","_col1","_col2"] + Group By Operator [GBY_24] (rows=22000000 width=1014) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1 + <-Reducer 8 [SIMPLE_EDGE] + SHUFFLE [RS_23] + PartitionCols:_col0, _col1 + Group By Operator [GBY_22] (rows=44000000 width=1014) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col7, _col1 + Merge Join Operator [MERGEJOIN_104] (rows=44000000 width=1014) + Conds:RS_18._col2=RS_19._col0(Inner),Output:["_col1","_col3","_col7"] + <-Map 15 [SIMPLE_EDGE] + SHUFFLE [RS_19] + PartitionCols:_col0 + Select Operator [SEL_14] (rows=40000000 width=1014) + Output:["_col0","_col1"] + Filter Operator [FIL_98] (rows=40000000 width=1014) + predicate:ca_address_sk is not null + Please refer to the previous TableScan [TS_12] + <-Reducer 7 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_103] (rows=31678769 width=106) + Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col1","_col2","_col3"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_16] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_11] + <-Map 6 [SIMPLE_EDGE] + SHUFFLE [RS_15] + PartitionCols:_col0 + Select Operator [SEL_8] (rows=28798881 width=106) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_96] (rows=28798881 width=106) + predicate:(cr_returned_date_sk is not null and cr_returning_addr_sk is not null and cr_returning_customer_sk is not null) + Please refer to the previous TableScan [TS_6] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_59] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_102] (rows=88000001 width=860) + Conds:RS_56._col2=RS_57._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col5","_col7","_col8","_col9","_col10","_col11","_col12","_col14","_col15","_col16","_col17"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_56] + PartitionCols:_col2 + Select Operator [SEL_2] (rows=80000000 width=860) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_94] (rows=80000000 width=860) + predicate:(c_current_addr_sk is not null and c_customer_sk is not null) + TableScan [TS_0] (rows=80000000 width=860) + default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_customer_id","c_current_addr_sk","c_salutation","c_first_name","c_last_name"] + <-Map 5 [SIMPLE_EDGE] + SHUFFLE [RS_57] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=20000000 width=1014) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col8","_col9","_col10","_col11"] + Filter Operator [FIL_95] (rows=20000000 width=1014) + predicate:((ca_state = 'IL') and ca_address_sk is not null) + TableScan [TS_3] (rows=40000000 width=1014) + default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_street_number","ca_street_name","ca_street_type","ca_suite_number","ca_city","ca_county","ca_state","ca_zip","ca_country","ca_gmt_offset","ca_location_type"] +
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query82.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query82.q.out b/ql/src/test/results/clientpositive/perf/tez/query82.q.out new file mode 100644 index 0000000..037c2ff --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query82.q.out @@ -0,0 +1,103 @@ +PREHOOK: query: explain +select i_item_id + ,i_item_desc + ,i_current_price + from item, inventory, date_dim, store_sales + where i_current_price between 30 and 30+30 + and inv_item_sk = i_item_sk + and d_date_sk=inv_date_sk + and d_date between cast('2002-05-30' as date) and (cast('2002-05-30' as date) + 60 days) + and i_manufact_id in (437,129,727,663) + and inv_quantity_on_hand between 100 and 500 + and ss_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, store_sales + where i_current_price between 30 and 30+30 + and inv_item_sk = i_item_sk + and d_date_sk=inv_date_sk + and d_date between cast('2002-05-30' as date) and (cast('2002-05-30' as date) + 60 days) + and i_manufact_id in (437,129,727,663) + and inv_quantity_on_hand between 100 and 500 + and ss_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=88) + Number of rows:100 + Select Operator [SEL_26] (rows=633595212 width=88) + Output:["_col0","_col1","_col2"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_25] + Group By Operator [GBY_23] (rows=633595212 width=88) + 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=1267190424 width=88) + Output:["_col0","_col1","_col2"],keys:_col2, _col3, _col4 + Merge Join Operator [MERGEJOIN_44] (rows=1267190424 width=88) + 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=575995635 width=88) + Output:["_col0"] + Filter Operator [FIL_39] (rows=575995635 width=88) + predicate:ss_item_sk is not null + TableScan [TS_0] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_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 (437, 129, 727, 663) and i_current_price BETWEEN 30 AND 60 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 2002-05-30 00:00:00.0 AND 2002-07-29 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/query83.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query83.q.out b/ql/src/test/results/clientpositive/perf/tez/query83.q.out new file mode 100644 index 0000000..2a3a946 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query83.q.out @@ -0,0 +1,372 @@ +PREHOOK: query: explain +with sr_items as + (select i_item_id item_id, + sum(sr_return_quantity) sr_item_qty + from store_returns, + item, + date_dim + where sr_item_sk = i_item_sk + and d_date in + (select d_date + from date_dim + where d_week_seq in + (select d_week_seq + from date_dim + where d_date in ('1998-01-02','1998-10-15','1998-11-10'))) + and sr_returned_date_sk = d_date_sk + group by i_item_id), + cr_items as + (select i_item_id item_id, + sum(cr_return_quantity) cr_item_qty + from catalog_returns, + item, + date_dim + where cr_item_sk = i_item_sk + and d_date in + (select d_date + from date_dim + where d_week_seq in + (select d_week_seq + from date_dim + where d_date in ('1998-01-02','1998-10-15','1998-11-10'))) + and cr_returned_date_sk = d_date_sk + group by i_item_id), + wr_items as + (select i_item_id item_id, + sum(wr_return_quantity) wr_item_qty + from web_returns, + item, + date_dim + where wr_item_sk = i_item_sk + and d_date in + (select d_date + from date_dim + where d_week_seq in + (select d_week_seq + from date_dim + where d_date in ('1998-01-02','1998-10-15','1998-11-10'))) + and wr_returned_date_sk = d_date_sk + group by i_item_id) + select sr_items.item_id + ,sr_item_qty + ,sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev + ,cr_item_qty + ,cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev + ,wr_item_qty + ,wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev + ,(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average + from sr_items + ,cr_items + ,wr_items + where sr_items.item_id=cr_items.item_id + and sr_items.item_id=wr_items.item_id + order by sr_items.item_id + ,sr_item_qty + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +with sr_items as + (select i_item_id item_id, + sum(sr_return_quantity) sr_item_qty + from store_returns, + item, + date_dim + where sr_item_sk = i_item_sk + and d_date in + (select d_date + from date_dim + where d_week_seq in + (select d_week_seq + from date_dim + where d_date in ('1998-01-02','1998-10-15','1998-11-10'))) + and sr_returned_date_sk = d_date_sk + group by i_item_id), + cr_items as + (select i_item_id item_id, + sum(cr_return_quantity) cr_item_qty + from catalog_returns, + item, + date_dim + where cr_item_sk = i_item_sk + and d_date in + (select d_date + from date_dim + where d_week_seq in + (select d_week_seq + from date_dim + where d_date in ('1998-01-02','1998-10-15','1998-11-10'))) + and cr_returned_date_sk = d_date_sk + group by i_item_id), + wr_items as + (select i_item_id item_id, + sum(wr_return_quantity) wr_item_qty + from web_returns, + item, + date_dim + where wr_item_sk = i_item_sk + and d_date in + (select d_date + from date_dim + where d_week_seq in + (select d_week_seq + from date_dim + where d_date in ('1998-01-02','1998-10-15','1998-11-10'))) + and wr_returned_date_sk = d_date_sk + group by i_item_id) + select sr_items.item_id + ,sr_item_qty + ,sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev + ,cr_item_qty + ,cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev + ,wr_item_qty + ,wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev + ,(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average + from sr_items + ,cr_items + ,wr_items + where sr_items.item_id=cr_items.item_id + and sr_items.item_id=wr_items.item_id + order by sr_items.item_id + ,sr_item_qty + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Reducer 9 (SIMPLE_EDGE) +Reducer 11 <- Map 27 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) +Reducer 12 <- Reducer 11 (SIMPLE_EDGE), Reducer 17 (SIMPLE_EDGE) +Reducer 13 <- Reducer 12 (SIMPLE_EDGE) +Reducer 15 <- Map 14 (SIMPLE_EDGE), Reducer 20 (ONE_TO_ONE_EDGE) +Reducer 16 <- Map 14 (SIMPLE_EDGE), Reducer 22 (ONE_TO_ONE_EDGE) +Reducer 17 <- Map 14 (SIMPLE_EDGE), Reducer 24 (ONE_TO_ONE_EDGE) +Reducer 19 <- Map 18 (SIMPLE_EDGE), Map 25 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) +Reducer 20 <- Reducer 19 (SIMPLE_EDGE) +Reducer 21 <- Map 18 (SIMPLE_EDGE), Map 25 (SIMPLE_EDGE) +Reducer 22 <- Reducer 21 (SIMPLE_EDGE) +Reducer 23 <- Map 18 (SIMPLE_EDGE), Map 25 (SIMPLE_EDGE) +Reducer 24 <- Reducer 23 (SIMPLE_EDGE) +Reducer 3 <- Reducer 15 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 10 (ONE_TO_ONE_EDGE), Reducer 13 (ONE_TO_ONE_EDGE), Reducer 4 (ONE_TO_ONE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 8 <- Map 26 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) +Reducer 9 <- Reducer 16 (SIMPLE_EDGE), Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 6 + File Output Operator [FS_128] + Limit [LIM_127] (rows=100 width=77) + Number of rows:100 + Select Operator [SEL_126] (rows=76653825 width=77) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_125] + Select Operator [SEL_124] (rows=76653825 width=77) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + Merge Join Operator [MERGEJOIN_222] (rows=76653825 width=77) + Conds:RS_120._col0=RS_121._col0(Inner),RS_120._col0=RS_122._col0(Inner),Output:["_col0","_col1","_col3","_col5"] + <-Reducer 10 [ONE_TO_ONE_EDGE] + FORWARD [RS_121] + PartitionCols:_col0 + Group By Operator [GBY_78] (rows=34842647 width=77) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_77] + PartitionCols:_col0 + Group By Operator [GBY_76] (rows=69685294 width=77) + Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4 + Merge Join Operator [MERGEJOIN_220] (rows=69685294 width=77) + Conds:RS_72._col0=RS_73._col0(Inner),Output:["_col2","_col4"] + <-Reducer 16 [SIMPLE_EDGE] + SHUFFLE [RS_73] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_215] (rows=80353 width=1119) + Conds:RS_65._col1=RS_66._col0(Inner),Output:["_col0"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_65] + PartitionCols:_col1 + Select Operator [SEL_8] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_197] (rows=73049 width=1119) + predicate:(d_date is not null 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_date"] + <-Reducer 22 [ONE_TO_ONE_EDGE] + FORWARD [RS_66] + PartitionCols:_col0 + Group By Operator [GBY_63] (rows=40176 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Reducer 21 [SIMPLE_EDGE] + SHUFFLE [RS_62] + PartitionCols:_col0 + Group By Operator [GBY_61] (rows=80353 width=1119) + Output:["_col0"],keys:_col0 + Merge Join Operator [MERGEJOIN_214] (rows=80353 width=1119) + Conds:RS_57._col1=RS_58._col0(Left Semi),Output:["_col0"] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_57] + PartitionCols:_col1 + Select Operator [SEL_11] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_198] (rows=73049 width=1119) + predicate:(d_date is not null and d_week_seq is not null) + TableScan [TS_9] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date","d_week_seq"] + <-Map 25 [SIMPLE_EDGE] + SHUFFLE [RS_58] + PartitionCols:_col0 + Group By Operator [GBY_16] (rows=36525 width=1119) + Output:["_col0"],keys:_col0 + Select Operator [SEL_14] (rows=36525 width=1119) + Output:["_col0"] + Filter Operator [FIL_199] (rows=36525 width=1119) + predicate:((d_date) IN ('1998-01-02', '1998-10-15', '1998-11-10') and d_week_seq is not null) + TableScan [TS_12] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date","d_week_seq"] + <-Reducer 8 [SIMPLE_EDGE] + SHUFFLE [RS_72] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_213] (rows=63350266 width=77) + Conds:RS_69._col1=RS_70._col0(Inner),Output:["_col0","_col2","_col4"] + <-Map 7 [SIMPLE_EDGE] + SHUFFLE [RS_70] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=462000 width=1436) + Output:["_col0","_col1"] + Filter Operator [FIL_196] (rows=462000 width=1436) + predicate:(i_item_id is not null 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"] + <-Map 26 [SIMPLE_EDGE] + SHUFFLE [RS_69] + PartitionCols:_col1 + Select Operator [SEL_42] (rows=57591150 width=77) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_200] (rows=57591150 width=77) + predicate:(sr_item_sk is not null and sr_returned_date_sk is not null) + TableScan [TS_40] (rows=57591150 width=77) + default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_returned_date_sk","sr_item_sk","sr_return_quantity"] + <-Reducer 13 [ONE_TO_ONE_EDGE] + FORWARD [RS_122] + PartitionCols:_col0 + Group By Operator [GBY_118] (rows=8711072 width=92) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_117] + PartitionCols:_col0 + Group By Operator [GBY_116] (rows=17422145 width=92) + Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4 + Merge Join Operator [MERGEJOIN_221] (rows=17422145 width=92) + Conds:RS_112._col0=RS_113._col0(Inner),Output:["_col2","_col4"] + <-Reducer 11 [SIMPLE_EDGE] + SHUFFLE [RS_112] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_216] (rows=15838314 width=92) + Conds:RS_109._col1=RS_110._col0(Inner),Output:["_col0","_col2","_col4"] + <-Map 7 [SIMPLE_EDGE] + SHUFFLE [RS_110] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 27 [SIMPLE_EDGE] + SHUFFLE [RS_109] + PartitionCols:_col1 + Select Operator [SEL_82] (rows=14398467 width=92) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_205] (rows=14398467 width=92) + predicate:(wr_item_sk is not null and wr_returned_date_sk is not null) + TableScan [TS_80] (rows=14398467 width=92) + default@web_returns,web_returns,Tbl:COMPLETE,Col:NONE,Output:["wr_returned_date_sk","wr_item_sk","wr_return_quantity"] + <-Reducer 17 [SIMPLE_EDGE] + SHUFFLE [RS_113] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_218] (rows=80353 width=1119) + Conds:RS_105._col1=RS_106._col0(Inner),Output:["_col0"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_105] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_8] + <-Reducer 24 [ONE_TO_ONE_EDGE] + FORWARD [RS_106] + PartitionCols:_col0 + Group By Operator [GBY_103] (rows=40176 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Reducer 23 [SIMPLE_EDGE] + SHUFFLE [RS_102] + PartitionCols:_col0 + Group By Operator [GBY_101] (rows=80353 width=1119) + Output:["_col0"],keys:_col0 + Merge Join Operator [MERGEJOIN_217] (rows=80353 width=1119) + Conds:RS_97._col1=RS_98._col0(Left Semi),Output:["_col0"] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_97] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_11] + <-Map 25 [SIMPLE_EDGE] + SHUFFLE [RS_98] + PartitionCols:_col0 + Please refer to the previous Group By Operator [GBY_16] + <-Reducer 4 [ONE_TO_ONE_EDGE] + FORWARD [RS_120] + PartitionCols:_col0 + Group By Operator [GBY_38] (rows=17423323 width=106) + Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0 + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_37] + PartitionCols:_col0 + Group By Operator [GBY_36] (rows=34846646 width=106) + Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4 + Merge Join Operator [MERGEJOIN_219] (rows=34846646 width=106) + Conds:RS_32._col0=RS_33._col0(Inner),Output:["_col2","_col4"] + <-Reducer 15 [SIMPLE_EDGE] + SHUFFLE [RS_33] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_212] (rows=80353 width=1119) + Conds:RS_25._col1=RS_26._col0(Inner),Output:["_col0"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_25] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_8] + <-Reducer 20 [ONE_TO_ONE_EDGE] + FORWARD [RS_26] + PartitionCols:_col0 + Group By Operator [GBY_23] (rows=40176 width=1119) + Output:["_col0"],keys:KEY._col0 + <-Reducer 19 [SIMPLE_EDGE] + SHUFFLE [RS_22] + PartitionCols:_col0 + Group By Operator [GBY_21] (rows=80353 width=1119) + Output:["_col0"],keys:_col0 + Merge Join Operator [MERGEJOIN_211] (rows=80353 width=1119) + Conds:RS_17._col1=RS_18._col0(Left Semi),Output:["_col0"] + <-Map 18 [SIMPLE_EDGE] + SHUFFLE [RS_17] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_11] + <-Map 25 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col0 + Please refer to the previous Group By Operator [GBY_16] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_32] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_210] (rows=31678769 width=106) + Conds:RS_29._col1=RS_30._col0(Inner),Output:["_col0","_col2","_col4"] + <-Map 7 [SIMPLE_EDGE] + SHUFFLE [RS_30] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_29] + PartitionCols:_col1 + Select Operator [SEL_2] (rows=28798881 width=106) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_195] (rows=28798881 width=106) + predicate:(cr_item_sk is not null and cr_returned_date_sk is not null) + TableScan [TS_0] (rows=28798881 width=106) + default@catalog_returns,catalog_returns,Tbl:COMPLETE,Col:NONE,Output:["cr_returned_date_sk","cr_item_sk","cr_return_quantity"] + http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query84.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query84.q.out b/ql/src/test/results/clientpositive/perf/tez/query84.q.out new file mode 100644 index 0000000..f23cddd --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query84.q.out @@ -0,0 +1,135 @@ +PREHOOK: query: explain +select c_customer_id as customer_id + ,c_last_name || ', ' || c_first_name as customername + from customer + ,customer_address + ,customer_demographics + ,household_demographics + ,income_band + ,store_returns + where ca_city = 'Hopewell' + and c_current_addr_sk = ca_address_sk + and ib_lower_bound >= 32287 + and ib_upper_bound <= 32287 + 50000 + and ib_income_band_sk = hd_income_band_sk + and cd_demo_sk = c_current_cdemo_sk + and hd_demo_sk = c_current_hdemo_sk + and sr_cdemo_sk = cd_demo_sk + order by c_customer_id + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select c_customer_id as customer_id + ,c_last_name || ', ' || c_first_name as customername + from customer + ,customer_address + ,customer_demographics + ,household_demographics + ,income_band + ,store_returns + where ca_city = 'Hopewell' + and c_current_addr_sk = ca_address_sk + and ib_lower_bound >= 32287 + and ib_upper_bound <= 32287 + 50000 + and ib_income_band_sk = hd_income_band_sk + and cd_demo_sk = c_current_cdemo_sk + and hd_demo_sk = c_current_hdemo_sk + and sr_cdemo_sk = cd_demo_sk + order by c_customer_id + limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Map 11 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 4 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) +Reducer 3 <- Reducer 2 (SIMPLE_EDGE) +Reducer 6 <- Map 5 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE) +Reducer 7 <- Reducer 10 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:-1 + Stage-1 + Reducer 3 + File Output Operator [FS_38] + Limit [LIM_36] (rows=100 width=860) + Number of rows:100 + Select Operator [SEL_35] (rows=212960011 width=860) + Output:["_col0","_col1"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_34] + Select Operator [SEL_33] (rows=212960011 width=860) + Output:["_col1","_col2"] + Merge Join Operator [MERGEJOIN_68] (rows=212960011 width=860) + Conds:RS_29._col0=RS_30._col0(Inner),RS_30._col0=RS_31._col1(Inner),Output:["_col2","_col6","_col7"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_29] + PartitionCols:_col0 + Select Operator [SEL_2] (rows=57591150 width=77) + Output:["_col0"] + Filter Operator [FIL_59] (rows=57591150 width=77) + predicate:sr_cdemo_sk is not null + TableScan [TS_0] (rows=57591150 width=77) + default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_cdemo_sk"] + <-Map 4 [SIMPLE_EDGE] + SHUFFLE [RS_30] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=1861800 width=385) + Output:["_col0"] + Filter Operator [FIL_60] (rows=1861800 width=385) + predicate:cd_demo_sk is not null + TableScan [TS_3] (rows=1861800 width=385) + default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk"] + <-Reducer 7 [SIMPLE_EDGE] + SHUFFLE [RS_31] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_67] (rows=96800003 width=860) + Conds:RS_25._col2=RS_26._col0(Inner),Output:["_col0","_col1","_col4","_col5"] + <-Reducer 10 [SIMPLE_EDGE] + SHUFFLE [RS_26] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_66] (rows=7920 width=107) + Conds:RS_18._col1=RS_19._col0(Inner),Output:["_col0"] + <-Map 11 [SIMPLE_EDGE] + SHUFFLE [RS_19] + PartitionCols:_col0 + Select Operator [SEL_17] (rows=2 width=12) + Output:["_col0"] + Filter Operator [FIL_64] (rows=2 width=12) + predicate:((ib_lower_bound >= 32287) and (ib_upper_bound <= 82287) and ib_income_band_sk is not null) + TableScan [TS_15] (rows=20 width=12) + default@income_band,income_band,Tbl:COMPLETE,Col:NONE,Output:["ib_income_band_sk","ib_lower_bound","ib_upper_bound"] + <-Map 9 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col1 + Select Operator [SEL_14] (rows=7200 width=107) + Output:["_col0","_col1"] + Filter Operator [FIL_63] (rows=7200 width=107) + predicate:(hd_demo_sk is not null and hd_income_band_sk is not null) + TableScan [TS_12] (rows=7200 width=107) + default@household_demographics,household_demographics,Tbl:COMPLETE,Col:NONE,Output:["hd_demo_sk","hd_income_band_sk"] + <-Reducer 6 [SIMPLE_EDGE] + SHUFFLE [RS_25] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_65] (rows=88000001 width=860) + Conds:RS_22._col3=RS_23._col0(Inner),Output:["_col0","_col1","_col2","_col4","_col5"] + <-Map 5 [SIMPLE_EDGE] + SHUFFLE [RS_22] + PartitionCols:_col3 + Select Operator [SEL_8] (rows=80000000 width=860) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_61] (rows=80000000 width=860) + predicate:(c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_current_hdemo_sk is not null) + TableScan [TS_6] (rows=80000000 width=860) + default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_id","c_current_cdemo_sk","c_current_hdemo_sk","c_current_addr_sk","c_first_name","c_last_name"] + <-Map 8 [SIMPLE_EDGE] + SHUFFLE [RS_23] + PartitionCols:_col0 + Select Operator [SEL_11] (rows=20000000 width=1014) + Output:["_col0"] + Filter Operator [FIL_62] (rows=20000000 width=1014) + predicate:((ca_city = 'Hopewell') and ca_address_sk is not null) + TableScan [TS_9] (rows=40000000 width=1014) + default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_city"] + http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query85.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query85.q.out b/ql/src/test/results/clientpositive/perf/tez/query85.q.out new file mode 100644 index 0000000..90cc27e --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query85.q.out @@ -0,0 +1,304 @@ +PREHOOK: query: explain +select substr(r_reason_desc,1,20) + ,avg(ws_quantity) + ,avg(wr_refunded_cash) + ,avg(wr_fee) + from web_sales, web_returns, web_page, customer_demographics cd1, + customer_demographics cd2, customer_address, date_dim, reason + where ws_web_page_sk = wp_web_page_sk + and ws_item_sk = wr_item_sk + and ws_order_number = wr_order_number + and ws_sold_date_sk = d_date_sk and d_year = 1998 + and cd1.cd_demo_sk = wr_refunded_cdemo_sk + and cd2.cd_demo_sk = wr_returning_cdemo_sk + and ca_address_sk = wr_refunded_addr_sk + and r_reason_sk = wr_reason_sk + and + ( + ( + cd1.cd_marital_status = 'M' + and + cd1.cd_marital_status = cd2.cd_marital_status + and + cd1.cd_education_status = '4 yr Degree' + and + cd1.cd_education_status = cd2.cd_education_status + and + ws_sales_price between 100.00 and 150.00 + ) + or + ( + cd1.cd_marital_status = 'D' + and + cd1.cd_marital_status = cd2.cd_marital_status + and + cd1.cd_education_status = 'Primary' + and + cd1.cd_education_status = cd2.cd_education_status + and + ws_sales_price between 50.00 and 100.00 + ) + or + ( + cd1.cd_marital_status = 'U' + and + cd1.cd_marital_status = cd2.cd_marital_status + and + cd1.cd_education_status = 'Advanced Degree' + and + cd1.cd_education_status = cd2.cd_education_status + and + ws_sales_price between 150.00 and 200.00 + ) + ) + and + ( + ( + ca_country = 'United States' + and + ca_state in ('KY', 'GA', 'NM') + and ws_net_profit between 100 and 200 + ) + or + ( + ca_country = 'United States' + and + ca_state in ('MT', 'OR', 'IN') + and ws_net_profit between 150 and 300 + ) + or + ( + ca_country = 'United States' + and + ca_state in ('WI', 'MO', 'WV') + and ws_net_profit between 50 and 250 + ) + ) +group by r_reason_desc +order by substr(r_reason_desc,1,20) + ,avg(ws_quantity) + ,avg(wr_refunded_cash) + ,avg(wr_fee) +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select substr(r_reason_desc,1,20) + ,avg(ws_quantity) + ,avg(wr_refunded_cash) + ,avg(wr_fee) + from web_sales, web_returns, web_page, customer_demographics cd1, + customer_demographics cd2, customer_address, date_dim, reason + where ws_web_page_sk = wp_web_page_sk + and ws_item_sk = wr_item_sk + and ws_order_number = wr_order_number + and ws_sold_date_sk = d_date_sk and d_year = 1998 + and cd1.cd_demo_sk = wr_refunded_cdemo_sk + and cd2.cd_demo_sk = wr_returning_cdemo_sk + and ca_address_sk = wr_refunded_addr_sk + and r_reason_sk = wr_reason_sk + and + ( + ( + cd1.cd_marital_status = 'M' + and + cd1.cd_marital_status = cd2.cd_marital_status + and + cd1.cd_education_status = '4 yr Degree' + and + cd1.cd_education_status = cd2.cd_education_status + and + ws_sales_price between 100.00 and 150.00 + ) + or + ( + cd1.cd_marital_status = 'D' + and + cd1.cd_marital_status = cd2.cd_marital_status + and + cd1.cd_education_status = 'Primary' + and + cd1.cd_education_status = cd2.cd_education_status + and + ws_sales_price between 50.00 and 100.00 + ) + or + ( + cd1.cd_marital_status = 'U' + and + cd1.cd_marital_status = cd2.cd_marital_status + and + cd1.cd_education_status = 'Advanced Degree' + and + cd1.cd_education_status = cd2.cd_education_status + and + ws_sales_price between 150.00 and 200.00 + ) + ) + and + ( + ( + ca_country = 'United States' + and + ca_state in ('KY', 'GA', 'NM') + and ws_net_profit between 100 and 200 + ) + or + ( + ca_country = 'United States' + and + ca_state in ('MT', 'OR', 'IN') + and ws_net_profit between 150 and 300 + ) + or + ( + ca_country = 'United States' + and + ca_state in ('WI', 'MO', 'WV') + and ws_net_profit between 50 and 250 + ) + ) +group by r_reason_desc +order by substr(r_reason_desc,1,20) + ,avg(ws_quantity) + ,avg(wr_refunded_cash) + ,avg(wr_fee) +limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Reducer 9 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 11 (SIMPLE_EDGE) +Reducer 3 <- Map 12 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 13 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Map 14 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Map 15 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Map 16 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE) +Reducer 8 <- Map 16 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) +Reducer 9 <- Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:-1 + Stage-1 + Reducer 10 + File Output Operator [FS_56] + Limit [LIM_54] (rows=100 width=385) + Number of rows:100 + Select Operator [SEL_53] (rows=1023990 width=385) + Output:["_col0","_col1","_col2","_col3"] + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_52] + Select Operator [SEL_51] (rows=1023990 width=385) + Output:["_col5","_col6","_col7","_col8"] + Group By Operator [GBY_50] (rows=1023990 width=385) + Output:["_col0","_col1","_col2","_col3"],aggregations:["avg(VALUE._col0)","avg(VALUE._col1)","avg(VALUE._col2)"],keys:KEY._col0 + <-Reducer 8 [SIMPLE_EDGE] + SHUFFLE [RS_49] + PartitionCols:_col0 + Group By Operator [GBY_48] (rows=2047980 width=385) + Output:["_col0","_col1","_col2","_col3"],aggregations:["avg(_col12)","avg(_col7)","avg(_col6)"],keys:_col22 + Merge Join Operator [MERGEJOIN_106] (rows=2047980 width=385) + Conds:RS_44._col3, _col24, _col25=RS_45._col0, _col1, _col2(Inner),Output:["_col6","_col7","_col12","_col22"] + <-Map 16 [SIMPLE_EDGE] + SHUFFLE [RS_45] + PartitionCols:_col0, _col1, _col2 + Select Operator [SEL_23] (rows=1861800 width=385) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_99] (rows=1861800 width=385) + predicate:(((cd_education_status = '4 yr Degree') or (cd_education_status = 'Primary') or (cd_education_status = 'Advanced Degree')) and ((cd_marital_status = 'M') or (cd_marital_status = 'D') or (cd_marital_status = 'U')) and cd_demo_sk is not null and cd_education_status is not null and cd_marital_status is not null) + TableScan [TS_21] (rows=1861800 width=385) + default@customer_demographics,cd2,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_marital_status","cd_education_status"] + <-Reducer 7 [SIMPLE_EDGE] + SHUFFLE [RS_44] + PartitionCols:_col3, _col24, _col25 + Filter Operator [FIL_43] (rows=393687 width=135) + predicate:(((_col24 = 'D') and (_col25 = 'Primary') and _col13 BETWEEN 50 AND 100) or ((_col24 = 'M') and (_col25 = '4 yr Degree') and _col13 BETWEEN 100 AND 150) or ((_col24 = 'U') and (_col25 = 'Advanced Degree') and _col13 BETWEEN 150 AND 200)) + Merge Join Operator [MERGEJOIN_105] (rows=4724246 width=135) + Conds:RS_40._col1=RS_41._col0(Inner),Output:["_col3","_col6","_col7","_col12","_col13","_col22","_col24","_col25"] + <-Map 16 [SIMPLE_EDGE] + SHUFFLE [RS_41] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_23] + <-Reducer 6 [SIMPLE_EDGE] + SHUFFLE [RS_40] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_104] (rows=4294769 width=135) + Conds:RS_37._col4=RS_38._col0(Inner),Output:["_col1","_col3","_col6","_col7","_col12","_col13","_col22"] + <-Map 15 [SIMPLE_EDGE] + SHUFFLE [RS_38] + PartitionCols:_col0 + Select Operator [SEL_17] (rows=72 width=200) + Output:["_col0","_col1"] + Filter Operator [FIL_97] (rows=72 width=200) + predicate:r_reason_sk is not null + TableScan [TS_15] (rows=72 width=200) + default@reason,reason,Tbl:COMPLETE,Col:NONE,Output:["r_reason_sk","r_reason_desc"] + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_37] + PartitionCols:_col4 + Merge Join Operator [MERGEJOIN_103] (rows=3904336 width=135) + Conds:RS_34._col8=RS_35._col0(Inner),Output:["_col1","_col3","_col4","_col6","_col7","_col12","_col13"] + <-Map 14 [SIMPLE_EDGE] + SHUFFLE [RS_35] + PartitionCols:_col0 + Select Operator [SEL_14] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_96] (rows=36524 width=1119) + predicate:((d_year = 1998) 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"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_34] + PartitionCols:_col8 + Merge Join Operator [MERGEJOIN_102] (rows=3549397 width=135) + Conds:RS_31._col10=RS_32._col0(Inner),Output:["_col1","_col3","_col4","_col6","_col7","_col8","_col12","_col13"] + <-Map 13 [SIMPLE_EDGE] + SHUFFLE [RS_32] + PartitionCols:_col0 + Select Operator [SEL_11] (rows=4602 width=585) + Output:["_col0"] + Filter Operator [FIL_95] (rows=4602 width=585) + predicate:wp_web_page_sk is not null + TableScan [TS_9] (rows=4602 width=585) + default@web_page,web_page,Tbl:COMPLETE,Col:NONE,Output:["wp_web_page_sk"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_31] + PartitionCols:_col10 + Filter Operator [FIL_30] (rows=3226725 width=135) + predicate:(((_col16) IN ('KY', 'GA', 'NM') and _col14 BETWEEN 100 AND 200) or ((_col16) IN ('MT', 'OR', 'IN') and _col14 BETWEEN 150 AND 300) or ((_col16) IN ('WI', 'MO', 'WV') and _col14 BETWEEN 50 AND 250)) + Merge Join Operator [MERGEJOIN_101] (rows=19360357 width=135) + Conds:RS_27._col2=RS_28._col0(Inner),Output:["_col1","_col3","_col4","_col6","_col7","_col8","_col10","_col12","_col13","_col14","_col16"] + <-Map 12 [SIMPLE_EDGE] + SHUFFLE [RS_28] + PartitionCols:_col0 + Select Operator [SEL_8] (rows=10000000 width=1014) + Output:["_col0","_col1"] + Filter Operator [FIL_94] (rows=10000000 width=1014) + predicate:((ca_country = 'United States') and (ca_state) IN ('KY', 'GA', 'NM', 'MT', 'OR', 'IN', 'WI', 'MO', 'WV') and ca_address_sk is not null) + TableScan [TS_6] (rows=40000000 width=1014) + default@customer_address,customer_address,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_state","ca_country"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_27] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_100] (rows=17600325 width=135) + Conds:RS_24._col0, _col5=RS_25._col1, _col3(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col10","_col12","_col13","_col14"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_24] + PartitionCols:_col0, _col5 + Select Operator [SEL_2] (rows=14398467 width=92) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"] + Filter Operator [FIL_92] (rows=14398467 width=92) + predicate:(wr_item_sk is not null and wr_order_number is not null and wr_reason_sk is not null and wr_refunded_addr_sk is not null and wr_refunded_cdemo_sk is not null and wr_returning_cdemo_sk is not null) + TableScan [TS_0] (rows=14398467 width=92) + default@web_returns,web_returns,Tbl:COMPLETE,Col:NONE,Output:["wr_item_sk","wr_refunded_cdemo_sk","wr_refunded_addr_sk","wr_returning_cdemo_sk","wr_reason_sk","wr_order_number","wr_fee","wr_refunded_cash"] + <-Map 11 [SIMPLE_EDGE] + SHUFFLE [RS_25] + PartitionCols:_col1, _col3 + Select Operator [SEL_5] (rows=16000296 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"] + Filter Operator [FIL_93] (rows=16000296 width=135) + predicate:((ws_net_profit BETWEEN 100 AND 200 or ws_net_profit BETWEEN 150 AND 300 or ws_net_profit BETWEEN 50 AND 250) and (ws_sales_price BETWEEN 100 AND 150 or ws_sales_price BETWEEN 50 AND 100 or ws_sales_price BETWEEN 150 AND 200) and ws_item_sk is not null and ws_order_number is not null and ws_sold_date_sk is not null and ws_web_page_sk is not null) + TableScan [TS_3] (rows=144002668 width=135) + default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_web_page_sk","ws_order_number","ws_quantity","ws_sales_price","ws_net_profit"] + http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query86.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query86.q.out b/ql/src/test/results/clientpositive/perf/tez/query86.q.out new file mode 100644 index 0000000..6b59dd2 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query86.q.out @@ -0,0 +1,126 @@ +PREHOOK: query: explain +select + sum(ws_net_paid) as total_sum + ,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(ws_net_paid) desc) as rank_within_parent + from + web_sales + ,date_dim d1 + ,item + where + d1.d_month_seq between 1212 and 1212+11 + and d1.d_date_sk = ws_sold_date_sk + and i_item_sk = ws_item_sk + 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(ws_net_paid) as total_sum + ,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(ws_net_paid) desc) as rank_within_parent + from + web_sales + ,date_dim d1 + ,item + where + d1.d_month_seq between 1212 and 1212+11 + and d1.d_date_sk = ws_sold_date_sk + and i_item_sk = ws_item_sk + 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 7 (SIMPLE_EDGE) +Reducer 3 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:-1 + Stage-1 + Reducer 6 + File Output Operator [FS_30] + Limit [LIM_28] (rows=100 width=135) + Number of rows:100 + Select Operator [SEL_27] (rows=261364852 width=135) + Output:["_col0","_col1","_col2","_col3","_col4"] + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_26] + Select Operator [SEL_24] (rows=261364852 width=135) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + PTF Operator [PTF_23] (rows=261364852 width=135) + Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col4 DESC NULLS LAST","partition by:":"(grouping(_col5, 1) + grouping(_col5, 0)), CASE WHEN ((grouping(_col5, 0) = 0)) THEN (_col0) ELSE (null) END"}] + Select Operator [SEL_22] (rows=261364852 width=135) + Output:["_col0","_col1","_col4","_col5"] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_21] + PartitionCols:(grouping(_col5, 1) + grouping(_col5, 0)), CASE WHEN ((grouping(_col5, 0) = 0)) THEN (_col0) ELSE (null) END + Select Operator [SEL_20] (rows=261364852 width=135) + Output:["_col0","_col1","_col4","_col5"] + Group By Operator [GBY_19] (rows=261364852 width=135) + Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2 + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col0, _col1, _col2 + Group By Operator [GBY_17] (rows=522729705 width=135) + Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col2)"],keys:_col0, _col1, 0 + Select Operator [SEL_15] (rows=174243235 width=135) + Output:["_col0","_col1","_col2"] + Merge Join Operator [MERGEJOIN_40] (rows=174243235 width=135) + Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col2","_col6","_col7"] + <-Map 8 [SIMPLE_EDGE] + SHUFFLE [RS_13] + PartitionCols:_col0 + Select Operator [SEL_8] (rows=462000 width=1436) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_38] (rows=462000 width=1436) + predicate:i_item_sk is not null + TableScan [TS_6] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_class","i_category"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_12] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_39] (rows=158402938 width=135) + Conds:RS_9._col0=RS_10._col0(Inner),Output:["_col1","_col2"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_9] + PartitionCols:_col0 + Select Operator [SEL_2] (rows=144002668 width=135) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_36] (rows=144002668 width=135) + predicate:(ws_item_sk is not null and ws_sold_date_sk is not null) + TableScan [TS_0] (rows=144002668 width=135) + default@web_sales,web_sales,Tbl:COMPLETE,Col:NONE,Output:["ws_sold_date_sk","ws_item_sk","ws_net_paid"] + <-Map 7 [SIMPLE_EDGE] + SHUFFLE [RS_10] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=8116 width=1119) + Output:["_col0"] + Filter Operator [FIL_37] (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,d1,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_month_seq"] +
