http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query61.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query61.q.out b/ql/src/test/results/clientpositive/perf/tez/query61.q.out new file mode 100644 index 0000000..0b4f5fd --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query61.q.out @@ -0,0 +1,280 @@ +Warning: Shuffle Join MERGEJOIN[156][tables = [$hdt$_0, $hdt$_1]] in Stage 'Reducer 5' is a cross product +PREHOOK: query: explain +select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100 +from + (select sum(ss_ext_sales_price) promotions + from store_sales + ,store + ,promotion + ,date_dim + ,customer + ,customer_address + ,item + where ss_sold_date_sk = d_date_sk + and ss_store_sk = s_store_sk + and ss_promo_sk = p_promo_sk + and ss_customer_sk= c_customer_sk + and ca_address_sk = c_current_addr_sk + and ss_item_sk = i_item_sk + and ca_gmt_offset = -7 + and i_category = 'Electronics' + and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') + and s_gmt_offset = -7 + and d_year = 1999 + and d_moy = 11) promotional_sales, + (select sum(ss_ext_sales_price) total + from store_sales + ,store + ,date_dim + ,customer + ,customer_address + ,item + where ss_sold_date_sk = d_date_sk + and ss_store_sk = s_store_sk + and ss_customer_sk= c_customer_sk + and ca_address_sk = c_current_addr_sk + and ss_item_sk = i_item_sk + and ca_gmt_offset = -7 + and i_category = 'Electronics' + and s_gmt_offset = -7 + and d_year = 1999 + and d_moy = 11) all_sales +order by promotions, total +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select promotions,total,cast(promotions as decimal(15,4))/cast(total as decimal(15,4))*100 +from + (select sum(ss_ext_sales_price) promotions + from store_sales + ,store + ,promotion + ,date_dim + ,customer + ,customer_address + ,item + where ss_sold_date_sk = d_date_sk + and ss_store_sk = s_store_sk + and ss_promo_sk = p_promo_sk + and ss_customer_sk= c_customer_sk + and ca_address_sk = c_current_addr_sk + and ss_item_sk = i_item_sk + and ca_gmt_offset = -7 + and i_category = 'Electronics' + and (p_channel_dmail = 'Y' or p_channel_email = 'Y' or p_channel_tv = 'Y') + and s_gmt_offset = -7 + and d_year = 1999 + and d_moy = 11) promotional_sales, + (select sum(ss_ext_sales_price) total + from store_sales + ,store + ,date_dim + ,customer + ,customer_address + ,item + where ss_sold_date_sk = d_date_sk + and ss_store_sk = s_store_sk + and ss_customer_sk= c_customer_sk + and ca_address_sk = c_current_addr_sk + and ss_item_sk = i_item_sk + and ca_gmt_offset = -7 + and i_category = 'Electronics' + and s_gmt_offset = -7 + and d_year = 1999 + and d_moy = 11) all_sales +order by promotions, total +limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 12 <- Map 11 (SIMPLE_EDGE), Map 16 (SIMPLE_EDGE) +Reducer 13 <- Map 20 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE) +Reducer 14 <- Map 21 (SIMPLE_EDGE), Reducer 13 (SIMPLE_EDGE) +Reducer 15 <- Map 22 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE) +Reducer 17 <- Map 16 (SIMPLE_EDGE), Map 23 (SIMPLE_EDGE) +Reducer 18 <- Map 20 (SIMPLE_EDGE), Reducer 17 (SIMPLE_EDGE) +Reducer 19 <- Map 21 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 10 (SIMPLE_EDGE) +Reducer 3 <- Reducer 15 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Reducer 3 (CUSTOM_SIMPLE_EDGE) +Reducer 5 <- Reducer 4 (CUSTOM_SIMPLE_EDGE), Reducer 9 (CUSTOM_SIMPLE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Map 1 (SIMPLE_EDGE), Map 10 (SIMPLE_EDGE) +Reducer 8 <- Reducer 19 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) +Reducer 9 <- Reducer 8 (CUSTOM_SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 6 + File Output Operator [FS_91] + Limit [LIM_90] (rows=1 width=225) + Number of rows:100 + Select Operator [SEL_89] (rows=1 width=225) + Output:["_col0","_col1","_col2"] + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_88] + Select Operator [SEL_87] (rows=1 width=225) + Output:["_col0","_col1","_col2"] + Merge Join Operator [MERGEJOIN_156] (rows=1 width=225) + Conds:(Inner),Output:["_col0","_col1"] + <-Reducer 4 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_84] + Group By Operator [GBY_43] (rows=1 width=112) + Output:["_col0"],aggregations:["sum(VALUE._col0)"] + <-Reducer 3 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_42] + Group By Operator [GBY_41] (rows=1 width=112) + Output:["_col0"],aggregations:["sum(_col9)"] + Merge Join Operator [MERGEJOIN_154] (rows=927646829 width=88) + Conds:RS_37._col0=RS_38._col2(Inner),Output:["_col9"] + <-Reducer 15 [SIMPLE_EDGE] + SHUFFLE [RS_38] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_149] (rows=843315281 width=88) + Conds:RS_30._col4=RS_31._col0(Inner),Output:["_col2","_col5"] + <-Map 22 [SIMPLE_EDGE] + SHUFFLE [RS_31] + PartitionCols:_col0 + Select Operator [SEL_20] (rows=2300 width=1179) + Output:["_col0"] + Filter Operator [FIL_138] (rows=2300 width=1179) + predicate:(((p_channel_dmail = 'Y') or (p_channel_email = 'Y') or (p_channel_tv = 'Y')) and p_promo_sk is not null) + TableScan [TS_18] (rows=2300 width=1179) + default@promotion,promotion,Tbl:COMPLETE,Col:NONE,Output:["p_promo_sk","p_channel_dmail","p_channel_email","p_channel_tv"] + <-Reducer 14 [SIMPLE_EDGE] + SHUFFLE [RS_30] + PartitionCols:_col4 + Merge Join Operator [MERGEJOIN_148] (rows=766650239 width=88) + Conds:RS_27._col3=RS_28._col0(Inner),Output:["_col2","_col4","_col5"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_28] + PartitionCols:_col0 + Select Operator [SEL_17] (rows=852 width=1910) + Output:["_col0"] + Filter Operator [FIL_137] (rows=852 width=1910) + predicate:((s_gmt_offset = -7) and s_store_sk is not null) + TableScan [TS_15] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_gmt_offset"] + <-Reducer 13 [SIMPLE_EDGE] + SHUFFLE [RS_27] + PartitionCols:_col3 + Merge Join Operator [MERGEJOIN_147] (rows=696954748 width=88) + Conds:RS_24._col1=RS_25._col0(Inner),Output:["_col2","_col3","_col4","_col5"] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_25] + PartitionCols:_col0 + Select Operator [SEL_14] (rows=231000 width=1436) + Output:["_col0"] + Filter Operator [FIL_136] (rows=231000 width=1436) + predicate:((i_category = 'Electronics') and i_item_sk is not null) + TableScan [TS_12] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_category"] + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_24] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_146] (rows=633595212 width=88) + Conds:RS_21._col0=RS_22._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5"] + <-Map 16 [SIMPLE_EDGE] + SHUFFLE [RS_22] + PartitionCols:_col0 + Select Operator [SEL_11] (rows=18262 width=1119) + Output:["_col0"] + Filter Operator [FIL_135] (rows=18262 width=1119) + predicate:((d_moy = 11) and (d_year = 1999) and d_date_sk is not null) + TableScan [TS_9] (rows=73049 width=1119) + default@date_dim,date_dim,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year","d_moy"] + <-Map 11 [SIMPLE_EDGE] + SHUFFLE [RS_21] + PartitionCols:_col0 + Select Operator [SEL_8] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_134] (rows=575995635 width=88) + predicate:(ss_customer_sk is not null and ss_item_sk is not null and ss_promo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) + TableScan [TS_6] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_promo_sk","ss_ext_sales_price"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_37] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_145] (rows=88000001 width=860) + Conds:RS_34._col1=RS_35._col0(Inner),Output:["_col0"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_34] + PartitionCols:_col1 + Select Operator [SEL_2] (rows=80000000 width=860) + Output:["_col0","_col1"] + Filter Operator [FIL_132] (rows=80000000 width=860) + predicate:(c_current_addr_sk is not null and c_customer_sk is not null) + TableScan [TS_0] (rows=80000000 width=860) + default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_addr_sk"] + <-Map 10 [SIMPLE_EDGE] + SHUFFLE [RS_35] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=20000000 width=1014) + Output:["_col0"] + Filter Operator [FIL_133] (rows=20000000 width=1014) + predicate:((ca_gmt_offset = -7) 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_gmt_offset"] + <-Reducer 9 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_85] + Group By Operator [GBY_82] (rows=1 width=112) + Output:["_col0"],aggregations:["sum(VALUE._col0)"] + <-Reducer 8 [CUSTOM_SIMPLE_EDGE] + PARTITION_ONLY_SHUFFLE [RS_81] + Group By Operator [GBY_80] (rows=1 width=112) + Output:["_col0"],aggregations:["sum(_col8)"] + Merge Join Operator [MERGEJOIN_155] (rows=843315281 width=88) + Conds:RS_76._col0=RS_77._col2(Inner),Output:["_col8"] + <-Reducer 19 [SIMPLE_EDGE] + SHUFFLE [RS_77] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_153] (rows=766650239 width=88) + Conds:RS_69._col3=RS_70._col0(Inner),Output:["_col2","_col4"] + <-Map 21 [SIMPLE_EDGE] + SHUFFLE [RS_70] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_17] + <-Reducer 18 [SIMPLE_EDGE] + SHUFFLE [RS_69] + PartitionCols:_col3 + Merge Join Operator [MERGEJOIN_152] (rows=696954748 width=88) + Conds:RS_66._col1=RS_67._col0(Inner),Output:["_col2","_col3","_col4"] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_67] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_14] + <-Reducer 17 [SIMPLE_EDGE] + SHUFFLE [RS_66] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_151] (rows=633595212 width=88) + Conds:RS_63._col0=RS_64._col0(Inner),Output:["_col1","_col2","_col3","_col4"] + <-Map 16 [SIMPLE_EDGE] + SHUFFLE [RS_64] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_11] + <-Map 23 [SIMPLE_EDGE] + SHUFFLE [RS_63] + PartitionCols:_col0 + Select Operator [SEL_53] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_141] (rows=575995635 width=88) + predicate:(ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) + TableScan [TS_51] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_store_sk","ss_ext_sales_price"] + <-Reducer 7 [SIMPLE_EDGE] + SHUFFLE [RS_76] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_150] (rows=88000001 width=860) + Conds:RS_73._col1=RS_74._col0(Inner),Output:["_col0"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_73] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_2] + <-Map 10 [SIMPLE_EDGE] + SHUFFLE [RS_74] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] +
http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query63.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query63.q.out b/ql/src/test/results/clientpositive/perf/tez/query63.q.out new file mode 100644 index 0000000..8471441 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query63.q.out @@ -0,0 +1,143 @@ +PREHOOK: query: explain +select * +from (select i_manager_id + ,sum(ss_sales_price) sum_sales + ,avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales + from item + ,store_sales + ,date_dim + ,store + where ss_item_sk = i_item_sk + and ss_sold_date_sk = d_date_sk + and ss_store_sk = s_store_sk + and d_month_seq in (1212,1212+1,1212+2,1212+3,1212+4,1212+5,1212+6,1212+7,1212+8,1212+9,1212+10,1212+11) + and (( i_category in ('Books','Children','Electronics') + and i_class in ('personal','portable','refernece','self-help') + and i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7', + 'exportiunivamalg #9','scholaramalgamalg #9')) + or( i_category in ('Women','Music','Men') + and i_class in ('accessories','classical','fragrances','pants') + and i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1', + 'importoamalg #1'))) +group by i_manager_id, d_moy) tmp1 +where case when avg_monthly_sales > 0 then abs (sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1 +order by i_manager_id + ,avg_monthly_sales + ,sum_sales +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select * +from (select i_manager_id + ,sum(ss_sales_price) sum_sales + ,avg(sum(ss_sales_price)) over (partition by i_manager_id) avg_monthly_sales + from item + ,store_sales + ,date_dim + ,store + where ss_item_sk = i_item_sk + and ss_sold_date_sk = d_date_sk + and ss_store_sk = s_store_sk + and d_month_seq in (1212,1212+1,1212+2,1212+3,1212+4,1212+5,1212+6,1212+7,1212+8,1212+9,1212+10,1212+11) + and (( i_category in ('Books','Children','Electronics') + and i_class in ('personal','portable','refernece','self-help') + and i_brand in ('scholaramalgamalg #14','scholaramalgamalg #7', + 'exportiunivamalg #9','scholaramalgamalg #9')) + or( i_category in ('Women','Music','Men') + and i_class in ('accessories','classical','fragrances','pants') + and i_brand in ('amalgimporto #1','edu packscholar #1','exportiimporto #1', + 'importoamalg #1'))) +group by i_manager_id, d_moy) tmp1 +where case when avg_monthly_sales > 0 then abs (sum_sales - avg_monthly_sales) / avg_monthly_sales else null end > 0.1 +order by i_manager_id + ,avg_monthly_sales + ,sum_sales +limit 100 +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE) +Reducer 3 <- Map 8 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 4 <- Map 9 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE) +Reducer 5 <- Reducer 4 (SIMPLE_EDGE) +Reducer 6 <- Reducer 5 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:100 + Stage-1 + Reducer 6 + File Output Operator [FS_36] + Limit [LIM_35] (rows=100 width=88) + Number of rows:100 + Select Operator [SEL_34] (rows=191662559 width=88) + Output:["_col0","_col1","_col2"] + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_33] + Select Operator [SEL_30] (rows=191662559 width=88) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_46] (rows=191662559 width=88) + predicate:CASE WHEN ((avg_window_0 > 0)) THEN (((abs((_col2 - avg_window_0)) / avg_window_0) > 0.1)) ELSE (null) END + Select Operator [SEL_29] (rows=383325119 width=88) + Output:["avg_window_0","_col0","_col2"] + PTF Operator [PTF_28] (rows=383325119 width=88) + Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col0 ASC NULLS FIRST","partition by:":"_col0"}] + Select Operator [SEL_25] (rows=383325119 width=88) + Output:["_col0","_col2"] + Group By Operator [GBY_24] (rows=383325119 width=88) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1 + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_23] + PartitionCols:_col0 + Group By Operator [GBY_22] (rows=766650239 width=88) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col8, _col11 + Merge Join Operator [MERGEJOIN_54] (rows=766650239 width=88) + Conds:RS_18._col2=RS_19._col0(Inner),Output:["_col3","_col8","_col11"] + <-Map 9 [SIMPLE_EDGE] + SHUFFLE [RS_19] + PartitionCols:_col0 + Select Operator [SEL_11] (rows=1704 width=1910) + Output:["_col0"] + Filter Operator [FIL_50] (rows=1704 width=1910) + predicate:s_store_sk is not null + TableScan [TS_9] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_18] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_53] (rows=696954748 width=88) + Conds:RS_15._col0=RS_16._col0(Inner),Output:["_col2","_col3","_col8","_col11"] + <-Map 8 [SIMPLE_EDGE] + SHUFFLE [RS_16] + PartitionCols:_col0 + Select Operator [SEL_8] (rows=36525 width=1119) + Output:["_col0","_col2"] + Filter Operator [FIL_49] (rows=36525 width=1119) + predicate:((d_month_seq) IN (1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220, 1221, 1222, 1223) 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_month_seq","d_moy"] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_15] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_52] (rows=633595212 width=88) + Conds:RS_12._col1=RS_13._col0(Inner),Output:["_col0","_col2","_col3","_col8"] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_12] + PartitionCols:_col1 + Select Operator [SEL_2] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3"] + Filter Operator [FIL_47] (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_sales_price"] + <-Map 7 [SIMPLE_EDGE] + SHUFFLE [RS_13] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=115500 width=1436) + Output:["_col0","_col4"] + Filter Operator [FIL_48] (rows=115500 width=1436) + predicate:((((i_category) IN ('Books', 'Children', 'Electronics') and (i_class) IN ('personal', 'portable', 'refernece', 'self-help') and (i_brand) IN ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9')) or ((i_category) IN ('Women', 'Music', 'Men') and (i_class) IN ('accessories', 'classical', 'fragrances', 'pants') and (i_brand) IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1'))) and ((i_brand) IN ('scholaramalgamalg #14', 'scholaramalgamalg #7', 'exportiunivamalg #9', 'scholaramalgamalg #9') or (i_brand) IN ('amalgimporto #1', 'edu packscholar #1', 'exportiimporto #1', 'importoamalg #1')) and ((i_category) IN ('Books', 'Children', 'Electronics') or (i_category) IN ('Women', 'Music', 'Men')) and ((i_class) IN ('personal', 'portable', 'refernece', 'self-help') or (i_class) IN ('accessories', 'classical', 'fragrances', 'pants')) 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_brand","i_class","i_category","i_manager_id"] + http://git-wip-us.apache.org/repos/asf/hive/blob/9244fdc7/ql/src/test/results/clientpositive/perf/tez/query64.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/tez/query64.q.out b/ql/src/test/results/clientpositive/perf/tez/query64.q.out new file mode 100644 index 0000000..e009eaf --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/tez/query64.q.out @@ -0,0 +1,772 @@ +PREHOOK: query: explain +with cs_ui as + (select cs_item_sk + ,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund + from catalog_sales + ,catalog_returns + where cs_item_sk = cr_item_sk + and cs_order_number = cr_order_number + group by cs_item_sk + having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)), +cross_sales as + (select i_product_name product_name + ,i_item_sk item_sk + ,s_store_name store_name + ,s_zip store_zip + ,ad1.ca_street_number b_street_number + ,ad1.ca_street_name b_streen_name + ,ad1.ca_city b_city + ,ad1.ca_zip b_zip + ,ad2.ca_street_number c_street_number + ,ad2.ca_street_name c_street_name + ,ad2.ca_city c_city + ,ad2.ca_zip c_zip + ,d1.d_year as syear + ,d2.d_year as fsyear + ,d3.d_year s2year + ,count(*) cnt + ,sum(ss_wholesale_cost) s1 + ,sum(ss_list_price) s2 + ,sum(ss_coupon_amt) s3 + FROM store_sales + ,store_returns + ,cs_ui + ,date_dim d1 + ,date_dim d2 + ,date_dim d3 + ,store + ,customer + ,customer_demographics cd1 + ,customer_demographics cd2 + ,promotion + ,household_demographics hd1 + ,household_demographics hd2 + ,customer_address ad1 + ,customer_address ad2 + ,income_band ib1 + ,income_band ib2 + ,item + WHERE ss_store_sk = s_store_sk AND + ss_sold_date_sk = d1.d_date_sk AND + ss_customer_sk = c_customer_sk AND + ss_cdemo_sk= cd1.cd_demo_sk AND + ss_hdemo_sk = hd1.hd_demo_sk AND + ss_addr_sk = ad1.ca_address_sk and + ss_item_sk = i_item_sk and + ss_item_sk = sr_item_sk and + ss_ticket_number = sr_ticket_number and + ss_item_sk = cs_ui.cs_item_sk and + c_current_cdemo_sk = cd2.cd_demo_sk AND + c_current_hdemo_sk = hd2.hd_demo_sk AND + c_current_addr_sk = ad2.ca_address_sk and + c_first_sales_date_sk = d2.d_date_sk and + c_first_shipto_date_sk = d3.d_date_sk and + ss_promo_sk = p_promo_sk and + hd1.hd_income_band_sk = ib1.ib_income_band_sk and + hd2.hd_income_band_sk = ib2.ib_income_band_sk and + cd1.cd_marital_status <> cd2.cd_marital_status and + i_color in ('maroon','burnished','dim','steel','navajo','chocolate') and + i_current_price between 35 and 35 + 10 and + i_current_price between 35 + 1 and 35 + 15 +group by i_product_name + ,i_item_sk + ,s_store_name + ,s_zip + ,ad1.ca_street_number + ,ad1.ca_street_name + ,ad1.ca_city + ,ad1.ca_zip + ,ad2.ca_street_number + ,ad2.ca_street_name + ,ad2.ca_city + ,ad2.ca_zip + ,d1.d_year + ,d2.d_year + ,d3.d_year +) +select cs1.product_name + ,cs1.store_name + ,cs1.store_zip + ,cs1.b_street_number + ,cs1.b_streen_name + ,cs1.b_city + ,cs1.b_zip + ,cs1.c_street_number + ,cs1.c_street_name + ,cs1.c_city + ,cs1.c_zip + ,cs1.syear + ,cs1.cnt + ,cs1.s1 + ,cs1.s2 + ,cs1.s3 + ,cs2.s1 + ,cs2.s2 + ,cs2.s3 + ,cs2.syear + ,cs2.cnt +from cross_sales cs1,cross_sales cs2 +where cs1.item_sk=cs2.item_sk and + cs1.syear = 2000 and + cs2.syear = 2000 + 1 and + cs2.cnt <= cs1.cnt and + cs1.store_name = cs2.store_name and + cs1.store_zip = cs2.store_zip +order by cs1.product_name + ,cs1.store_name + ,cs2.cnt +PREHOOK: type: QUERY +POSTHOOK: query: explain +with cs_ui as + (select cs_item_sk + ,sum(cs_ext_list_price) as sale,sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit) as refund + from catalog_sales + ,catalog_returns + where cs_item_sk = cr_item_sk + and cs_order_number = cr_order_number + group by cs_item_sk + having sum(cs_ext_list_price)>2*sum(cr_refunded_cash+cr_reversed_charge+cr_store_credit)), +cross_sales as + (select i_product_name product_name + ,i_item_sk item_sk + ,s_store_name store_name + ,s_zip store_zip + ,ad1.ca_street_number b_street_number + ,ad1.ca_street_name b_streen_name + ,ad1.ca_city b_city + ,ad1.ca_zip b_zip + ,ad2.ca_street_number c_street_number + ,ad2.ca_street_name c_street_name + ,ad2.ca_city c_city + ,ad2.ca_zip c_zip + ,d1.d_year as syear + ,d2.d_year as fsyear + ,d3.d_year s2year + ,count(*) cnt + ,sum(ss_wholesale_cost) s1 + ,sum(ss_list_price) s2 + ,sum(ss_coupon_amt) s3 + FROM store_sales + ,store_returns + ,cs_ui + ,date_dim d1 + ,date_dim d2 + ,date_dim d3 + ,store + ,customer + ,customer_demographics cd1 + ,customer_demographics cd2 + ,promotion + ,household_demographics hd1 + ,household_demographics hd2 + ,customer_address ad1 + ,customer_address ad2 + ,income_band ib1 + ,income_band ib2 + ,item + WHERE ss_store_sk = s_store_sk AND + ss_sold_date_sk = d1.d_date_sk AND + ss_customer_sk = c_customer_sk AND + ss_cdemo_sk= cd1.cd_demo_sk AND + ss_hdemo_sk = hd1.hd_demo_sk AND + ss_addr_sk = ad1.ca_address_sk and + ss_item_sk = i_item_sk and + ss_item_sk = sr_item_sk and + ss_ticket_number = sr_ticket_number and + ss_item_sk = cs_ui.cs_item_sk and + c_current_cdemo_sk = cd2.cd_demo_sk AND + c_current_hdemo_sk = hd2.hd_demo_sk AND + c_current_addr_sk = ad2.ca_address_sk and + c_first_sales_date_sk = d2.d_date_sk and + c_first_shipto_date_sk = d3.d_date_sk and + ss_promo_sk = p_promo_sk and + hd1.hd_income_band_sk = ib1.ib_income_band_sk and + hd2.hd_income_band_sk = ib2.ib_income_band_sk and + cd1.cd_marital_status <> cd2.cd_marital_status and + i_color in ('maroon','burnished','dim','steel','navajo','chocolate') and + i_current_price between 35 and 35 + 10 and + i_current_price between 35 + 1 and 35 + 15 +group by i_product_name + ,i_item_sk + ,s_store_name + ,s_zip + ,ad1.ca_street_number + ,ad1.ca_street_name + ,ad1.ca_city + ,ad1.ca_zip + ,ad2.ca_street_number + ,ad2.ca_street_name + ,ad2.ca_city + ,ad2.ca_zip + ,d1.d_year + ,d2.d_year + ,d3.d_year +) +select cs1.product_name + ,cs1.store_name + ,cs1.store_zip + ,cs1.b_street_number + ,cs1.b_streen_name + ,cs1.b_city + ,cs1.b_zip + ,cs1.c_street_number + ,cs1.c_street_name + ,cs1.c_city + ,cs1.c_zip + ,cs1.syear + ,cs1.cnt + ,cs1.s1 + ,cs1.s2 + ,cs1.s3 + ,cs2.s1 + ,cs2.s2 + ,cs2.s3 + ,cs2.syear + ,cs2.cnt +from cross_sales cs1,cross_sales cs2 +where cs1.item_sk=cs2.item_sk and + cs1.syear = 2000 and + cs2.syear = 2000 + 1 and + cs2.cnt <= cs1.cnt and + cs1.store_name = cs2.store_name and + cs1.store_zip = cs2.store_zip +order by cs1.product_name + ,cs1.store_name + ,cs2.cnt +POSTHOOK: type: QUERY +Plan optimized by CBO. + +Vertex dependency in root stage +Reducer 10 <- Reducer 19 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE) +Reducer 11 <- Reducer 10 (SIMPLE_EDGE) +Reducer 12 <- Map 1 (SIMPLE_EDGE), Map 20 (SIMPLE_EDGE) +Reducer 13 <- Map 20 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE) +Reducer 14 <- Reducer 13 (SIMPLE_EDGE), Reducer 38 (SIMPLE_EDGE) +Reducer 15 <- Map 41 (SIMPLE_EDGE), Reducer 14 (SIMPLE_EDGE) +Reducer 16 <- Map 55 (SIMPLE_EDGE), Reducer 15 (SIMPLE_EDGE) +Reducer 17 <- Reducer 16 (SIMPLE_EDGE), Reducer 34 (SIMPLE_EDGE) +Reducer 18 <- Map 55 (SIMPLE_EDGE), Reducer 17 (SIMPLE_EDGE) +Reducer 19 <- Reducer 18 (SIMPLE_EDGE) +Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 20 (SIMPLE_EDGE) +Reducer 21 <- Map 20 (SIMPLE_EDGE), Reducer 43 (SIMPLE_EDGE) +Reducer 22 <- Map 46 (SIMPLE_EDGE), Reducer 21 (SIMPLE_EDGE) +Reducer 23 <- Reducer 22 (SIMPLE_EDGE), Reducer 37 (SIMPLE_EDGE) +Reducer 24 <- Reducer 23 (SIMPLE_EDGE), Reducer 49 (ONE_TO_ONE_EDGE) +Reducer 25 <- Map 53 (SIMPLE_EDGE), Reducer 24 (SIMPLE_EDGE) +Reducer 26 <- Map 41 (SIMPLE_EDGE), Reducer 25 (SIMPLE_EDGE) +Reducer 27 <- Map 54 (SIMPLE_EDGE), Reducer 26 (SIMPLE_EDGE) +Reducer 28 <- Map 20 (SIMPLE_EDGE), Reducer 44 (SIMPLE_EDGE) +Reducer 29 <- Map 46 (SIMPLE_EDGE), Reducer 28 (SIMPLE_EDGE) +Reducer 3 <- Map 20 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE) +Reducer 30 <- Reducer 29 (SIMPLE_EDGE), Reducer 39 (SIMPLE_EDGE) +Reducer 31 <- Reducer 30 (SIMPLE_EDGE), Reducer 51 (ONE_TO_ONE_EDGE) +Reducer 32 <- Map 53 (SIMPLE_EDGE), Reducer 31 (SIMPLE_EDGE) +Reducer 33 <- Map 41 (SIMPLE_EDGE), Reducer 32 (SIMPLE_EDGE) +Reducer 34 <- Map 54 (SIMPLE_EDGE), Reducer 33 (SIMPLE_EDGE) +Reducer 36 <- Map 35 (SIMPLE_EDGE), Map 40 (SIMPLE_EDGE) +Reducer 37 <- Map 35 (SIMPLE_EDGE), Map 40 (SIMPLE_EDGE) +Reducer 38 <- Map 35 (SIMPLE_EDGE), Map 40 (SIMPLE_EDGE) +Reducer 39 <- Map 35 (SIMPLE_EDGE), Map 40 (SIMPLE_EDGE) +Reducer 4 <- Reducer 3 (SIMPLE_EDGE), Reducer 36 (SIMPLE_EDGE) +Reducer 43 <- Map 42 (SIMPLE_EDGE), Map 45 (SIMPLE_EDGE) +Reducer 44 <- Map 42 (SIMPLE_EDGE), Map 45 (SIMPLE_EDGE) +Reducer 48 <- Map 47 (SIMPLE_EDGE), Map 52 (SIMPLE_EDGE) +Reducer 49 <- Reducer 48 (SIMPLE_EDGE) +Reducer 5 <- Map 41 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE) +Reducer 50 <- Map 47 (SIMPLE_EDGE), Map 52 (SIMPLE_EDGE) +Reducer 51 <- Reducer 50 (SIMPLE_EDGE) +Reducer 6 <- Map 55 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE) +Reducer 7 <- Reducer 27 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE) +Reducer 8 <- Map 55 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE) +Reducer 9 <- Reducer 8 (SIMPLE_EDGE) + +Stage-0 + Fetch Operator + limit:-1 + Stage-1 + Reducer 11 + File Output Operator [FS_264] + Select Operator [SEL_262] (rows=273897192 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18","_col19","_col20"] + <-Reducer 10 [SIMPLE_EDGE] + SHUFFLE [RS_261] + Select Operator [SEL_260] (rows=273897192 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col18"] + Filter Operator [FIL_259] (rows=273897192 width=88) + predicate:(_col30 <= _col13) + Merge Join Operator [MERGEJOIN_615] (rows=821691577 width=88) + Conds:RS_256._col2, _col1, _col3=RS_257._col2, _col1, _col3(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col13","_col14","_col15","_col16","_col30","_col31","_col32","_col33"] + <-Reducer 19 [SIMPLE_EDGE] + SHUFFLE [RS_257] + PartitionCols:_col2, _col1, _col3 + Select Operator [SEL_254] (rows=746992327 width=88) + Output:["_col1","_col2","_col3","_col13","_col14","_col15","_col16"] + Group By Operator [GBY_253] (rows=746992327 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6, KEY._col7, KEY._col8, KEY._col9, KEY._col10, KEY._col11, KEY._col12, KEY._col13 + <-Reducer 18 [SIMPLE_EDGE] + SHUFFLE [RS_252] + PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13 + Group By Operator [GBY_251] (rows=1493984654 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17"],aggregations:["count()","sum(_col43)","sum(_col44)","sum(_col45)"],keys:_col28, _col46, _col29, _col7, _col9, _col14, _col15, _col16, _col17, _col23, _col24, _col25, _col26, _col49 + Select Operator [SEL_250] (rows=1493984654 width=88) + Output:["_col7","_col9","_col14","_col15","_col16","_col17","_col23","_col24","_col25","_col26","_col28","_col29","_col43","_col44","_col45","_col46","_col49"] + Filter Operator [FIL_249] (rows=1493984654 width=88) + predicate:(_col56 <> _col19) + Merge Join Operator [MERGEJOIN_614] (rows=1493984654 width=88) + Conds:RS_246._col37=RS_247._col0(Inner),Output:["_col7","_col9","_col14","_col15","_col16","_col17","_col19","_col23","_col24","_col25","_col26","_col28","_col29","_col43","_col44","_col45","_col46","_col49","_col56"] + <-Map 55 [SIMPLE_EDGE] + SHUFFLE [RS_247] + PartitionCols:_col0 + Select Operator [SEL_99] (rows=1861800 width=385) + Output:["_col0","_col1"] + Filter Operator [FIL_559] (rows=1861800 width=385) + predicate:cd_demo_sk is not null + TableScan [TS_97] (rows=1861800 width=385) + default@customer_demographics,cd1,Tbl:COMPLETE,Col:NONE,Output:["cd_demo_sk","cd_marital_status"] + <-Reducer 17 [SIMPLE_EDGE] + SHUFFLE [RS_246] + PartitionCols:_col37 + Merge Join Operator [MERGEJOIN_613] (rows=1358167838 width=88) + Conds:RS_243._col0=RS_244._col16(Inner),Output:["_col7","_col9","_col14","_col15","_col16","_col17","_col19","_col23","_col24","_col25","_col26","_col28","_col29","_col37","_col43","_col44","_col45","_col46","_col49"] + <-Reducer 16 [SIMPLE_EDGE] + SHUFFLE [RS_243] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_602] (rows=128840811 width=860) + Conds:RS_240._col1=RS_241._col0(Inner),Output:["_col0","_col7","_col9","_col14","_col15","_col16","_col17","_col19"] + <-Map 55 [SIMPLE_EDGE] + SHUFFLE [RS_241] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_99] + <-Reducer 15 [SIMPLE_EDGE] + SHUFFLE [RS_240] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_601] (rows=117128008 width=860) + Conds:RS_237._col3=RS_238._col0(Inner),Output:["_col0","_col1","_col7","_col9","_col14","_col15","_col16","_col17"] + <-Map 41 [SIMPLE_EDGE] + SHUFFLE [RS_238] + PartitionCols:_col0 + Select Operator [SEL_21] (rows=40000000 width=1014) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_546] (rows=40000000 width=1014) + predicate:ca_address_sk is not null + TableScan [TS_19] (rows=40000000 width=1014) + default@customer_address,ad2,Tbl:COMPLETE,Col:NONE,Output:["ca_address_sk","ca_street_number","ca_street_name","ca_city","ca_zip"] + <-Reducer 14 [SIMPLE_EDGE] + SHUFFLE [RS_237] + PartitionCols:_col3 + Merge Join Operator [MERGEJOIN_600] (rows=106480005 width=860) + Conds:RS_234._col2=RS_235._col0(Inner),Output:["_col0","_col1","_col3","_col7","_col9"] + <-Reducer 13 [SIMPLE_EDGE] + SHUFFLE [RS_234] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_598] (rows=96800003 width=860) + Conds:RS_231._col4=RS_232._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col7","_col9"] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_232] + PartitionCols:_col0 + Select Operator [SEL_136] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_562] (rows=73049 width=1119) + predicate:d_date_sk is not null + TableScan [TS_3] (rows=73049 width=1119) + default@date_dim,d2,Tbl:COMPLETE,Col:NONE,Output:["d_date_sk","d_year"] + <-Reducer 12 [SIMPLE_EDGE] + SHUFFLE [RS_231] + PartitionCols:_col4 + Merge Join Operator [MERGEJOIN_597] (rows=88000001 width=860) + Conds:RS_228._col5=RS_229._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col7"] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_229] + PartitionCols:_col0 + Select Operator [SEL_133] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_561] (rows=73049 width=1119) + predicate:d_date_sk is not null + Please refer to the previous TableScan [TS_3] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_228] + PartitionCols:_col5 + Select Operator [SEL_2] (rows=80000000 width=860) + Output:["_col0","_col1","_col2","_col3","_col4","_col5"] + Filter Operator [FIL_541] (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 and c_customer_sk is not null and c_first_sales_date_sk is not null and c_first_shipto_date_sk is not null) + TableScan [TS_0] (rows=80000000 width=860) + default@customer,customer,Tbl:COMPLETE,Col:NONE,Output:["c_customer_sk","c_current_cdemo_sk","c_current_hdemo_sk","c_current_addr_sk","c_first_shipto_date_sk","c_first_sales_date_sk"] + <-Reducer 38 [SIMPLE_EDGE] + SHUFFLE [RS_235] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_599] (rows=7920 width=107) + Conds:RS_143._col1=RS_144._col0(Inner),Output:["_col0"] + <-Map 35 [SIMPLE_EDGE] + SHUFFLE [RS_143] + PartitionCols:_col1 + Select Operator [SEL_11] (rows=7200 width=107) + Output:["_col0","_col1"] + Filter Operator [FIL_544] (rows=7200 width=107) + predicate:(hd_demo_sk is not null and hd_income_band_sk is not null) + TableScan [TS_9] (rows=7200 width=107) + default@household_demographics,hd2,Tbl:COMPLETE,Col:NONE,Output:["hd_demo_sk","hd_income_band_sk"] + <-Map 40 [SIMPLE_EDGE] + SHUFFLE [RS_144] + PartitionCols:_col0 + Select Operator [SEL_14] (rows=20 width=12) + Output:["_col0"] + Filter Operator [FIL_545] (rows=20 width=12) + predicate:ib_income_band_sk is not null + TableScan [TS_12] (rows=20 width=12) + default@income_band,ib2,Tbl:COMPLETE,Col:NONE,Output:["ib_income_band_sk"] + <-Reducer 34 [SIMPLE_EDGE] + SHUFFLE [RS_244] + PartitionCols:_col16 + Select Operator [SEL_224] (rows=1234698008 width=88) + Output:["_col3","_col4","_col5","_col6","_col8","_col9","_col16","_col17","_col23","_col24","_col25","_col26","_col29"] + Merge Join Operator [MERGEJOIN_612] (rows=1234698008 width=88) + Conds:RS_221._col5, _col12=RS_222._col0, _col1(Inner),Output:["_col6","_col7","_col13","_col14","_col15","_col16","_col19","_col26","_col27","_col29","_col30","_col31","_col32"] + <-Map 54 [SIMPLE_EDGE] + SHUFFLE [RS_222] + PartitionCols:_col0, _col1 + Select Operator [SEL_77] (rows=57591150 width=77) + Output:["_col0","_col1"] + Filter Operator [FIL_558] (rows=57591150 width=77) + predicate:(sr_item_sk is not null and sr_ticket_number is not null) + TableScan [TS_75] (rows=57591150 width=77) + default@store_returns,store_returns,Tbl:COMPLETE,Col:NONE,Output:["sr_item_sk","sr_ticket_number"] + <-Reducer 33 [SIMPLE_EDGE] + SHUFFLE [RS_221] + PartitionCols:_col5, _col12 + Merge Join Operator [MERGEJOIN_611] (rows=1122452711 width=88) + Conds:RS_218._col9=RS_219._col0(Inner),Output:["_col5","_col6","_col7","_col12","_col13","_col14","_col15","_col16","_col19","_col26","_col27","_col29","_col30","_col31","_col32"] + <-Map 41 [SIMPLE_EDGE] + SHUFFLE [RS_219] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_21] + <-Reducer 32 [SIMPLE_EDGE] + SHUFFLE [RS_218] + PartitionCols:_col9 + Merge Join Operator [MERGEJOIN_610] (rows=1020411534 width=88) + Conds:RS_215._col10=RS_216._col0(Inner),Output:["_col5","_col6","_col7","_col9","_col12","_col13","_col14","_col15","_col16","_col19","_col26","_col27"] + <-Map 53 [SIMPLE_EDGE] + SHUFFLE [RS_216] + PartitionCols:_col0 + Select Operator [SEL_71] (rows=1704 width=1910) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_556] (rows=1704 width=1910) + predicate:(s_store_name is not null and s_store_sk is not null and s_zip is not null) + TableScan [TS_69] (rows=1704 width=1910) + default@store,store,Tbl:COMPLETE,Col:NONE,Output:["s_store_sk","s_store_name","s_zip"] + <-Reducer 31 [SIMPLE_EDGE] + SHUFFLE [RS_215] + PartitionCols:_col10 + Merge Join Operator [MERGEJOIN_609] (rows=927646829 width=88) + Conds:RS_212._col5=RS_213._col0(Inner),Output:["_col5","_col6","_col7","_col9","_col10","_col12","_col13","_col14","_col15","_col16","_col19"] + <-Reducer 30 [SIMPLE_EDGE] + SHUFFLE [RS_212] + PartitionCols:_col5 + Merge Join Operator [MERGEJOIN_608] (rows=843315281 width=88) + Conds:RS_209._col0=RS_210._col5(Inner),Output:["_col5","_col6","_col7","_col9","_col10","_col12","_col13","_col14","_col15","_col16","_col19"] + <-Reducer 29 [SIMPLE_EDGE] + SHUFFLE [RS_210] + PartitionCols:_col5 + Select Operator [SEL_180] (rows=766650239 width=88) + Output:["_col2","_col3","_col4","_col5","_col6","_col7","_col9","_col10","_col11","_col12","_col13","_col16"] + Merge Join Operator [MERGEJOIN_606] (rows=766650239 width=88) + Conds:RS_177._col7=RS_178._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col8","_col9","_col10","_col11","_col12","_col15"] + <-Map 46 [SIMPLE_EDGE] + SHUFFLE [RS_178] + PartitionCols:_col0 + Select Operator [SEL_42] (rows=2300 width=1179) + Output:["_col0"] + Filter Operator [FIL_553] (rows=2300 width=1179) + predicate:p_promo_sk is not null + TableScan [TS_40] (rows=2300 width=1179) + default@promotion,promotion,Tbl:COMPLETE,Col:NONE,Output:["p_promo_sk"] + <-Reducer 28 [SIMPLE_EDGE] + SHUFFLE [RS_177] + PartitionCols:_col7 + Merge Join Operator [MERGEJOIN_605] (rows=696954748 width=88) + Conds:RS_174._col0=RS_175._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col15"] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_175] + PartitionCols:_col0 + Select Operator [SEL_167] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_571] (rows=36524 width=1119) + predicate:((d_year = 2001) and d_date_sk is not null) + Please refer to the previous TableScan [TS_3] + <-Reducer 44 [SIMPLE_EDGE] + SHUFFLE [RS_174] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_604] (rows=633595212 width=88) + Conds:RS_171._col1=RS_172._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col15"] + <-Map 42 [SIMPLE_EDGE] + SHUFFLE [RS_171] + PartitionCols:_col1 + Select Operator [SEL_33] (rows=575995635 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"] + Filter Operator [FIL_550] (rows=575995635 width=88) + predicate:(ss_addr_sk is not null and ss_cdemo_sk is not null and ss_customer_sk is not null and ss_hdemo_sk is not null and ss_item_sk is not null and ss_promo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null and ss_ticket_number is not null) + TableScan [TS_31] (rows=575995635 width=88) + default@store_sales,store_sales,Tbl:COMPLETE,Col:NONE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk","ss_cdemo_sk","ss_hdemo_sk","ss_addr_sk","ss_store_sk","ss_promo_sk","ss_ticket_number","ss_wholesale_cost","ss_list_price","ss_coupon_amt"] + <-Map 45 [SIMPLE_EDGE] + SHUFFLE [RS_172] + PartitionCols:_col0 + Select Operator [SEL_36] (rows=2851 width=1436) + Output:["_col0","_col3"] + Filter Operator [FIL_551] (rows=2851 width=1436) + predicate:((i_color) IN ('maroon', 'burnished', 'dim', 'steel', 'navajo', 'chocolate') and i_current_price BETWEEN 35 AND 45 and i_current_price BETWEEN 36 AND 50 and i_item_sk is not null) + TableScan [TS_34] (rows=462000 width=1436) + default@item,item,Tbl:COMPLETE,Col:NONE,Output:["i_item_sk","i_current_price","i_color","i_product_name"] + <-Reducer 39 [SIMPLE_EDGE] + SHUFFLE [RS_209] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_603] (rows=7920 width=107) + Conds:RS_206._col1=RS_207._col0(Inner),Output:["_col0"] + <-Map 35 [SIMPLE_EDGE] + SHUFFLE [RS_206] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_11] + <-Map 40 [SIMPLE_EDGE] + SHUFFLE [RS_207] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_14] + <-Reducer 51 [ONE_TO_ONE_EDGE] + FORWARD [RS_213] + PartitionCols:_col0 + Select Operator [SEL_196] (rows=52798137 width=135) + Output:["_col0"] + Filter Operator [FIL_195] (rows=52798137 width=135) + predicate:(_col1 > (2 * _col2)) + Group By Operator [GBY_194] (rows=158394413 width=135) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0 + <-Reducer 50 [SIMPLE_EDGE] + SHUFFLE [RS_193] + PartitionCols:_col0 + Group By Operator [GBY_192] (rows=316788826 width=135) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col1)","sum(_col2)"],keys:_col0 + Select Operator [SEL_190] (rows=316788826 width=135) + Output:["_col0","_col1","_col2"] + Merge Join Operator [MERGEJOIN_607] (rows=316788826 width=135) + Conds:RS_187._col0, _col1=RS_188._col0, _col1(Inner),Output:["_col0","_col2","_col5","_col6","_col7"] + <-Map 47 [SIMPLE_EDGE] + SHUFFLE [RS_187] + PartitionCols:_col0, _col1 + Select Operator [SEL_55] (rows=287989836 width=135) + Output:["_col0","_col1","_col2"] + Filter Operator [FIL_554] (rows=287989836 width=135) + predicate:(cs_item_sk is not null and cs_order_number is not null) + TableScan [TS_53] (rows=287989836 width=135) + default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:NONE,Output:["cs_item_sk","cs_order_number","cs_ext_list_price"] + <-Map 52 [SIMPLE_EDGE] + SHUFFLE [RS_188] + PartitionCols:_col0, _col1 + Select Operator [SEL_58] (rows=28798881 width=106) + Output:["_col0","_col1","_col2","_col3","_col4"] + Filter Operator [FIL_555] (rows=28798881 width=106) + predicate:(cr_item_sk is not null and cr_order_number is not null) + TableScan [TS_56] (rows=28798881 width=106) + default@catalog_returns,catalog_returns,Tbl:COMPLETE,Col:NONE,Output:["cr_item_sk","cr_order_number","cr_refunded_cash","cr_reversed_charge","cr_store_credit"] + <-Reducer 9 [SIMPLE_EDGE] + SHUFFLE [RS_256] + PartitionCols:_col2, _col1, _col3 + Select Operator [SEL_126] (rows=746992327 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col13","_col14","_col15","_col16"] + Group By Operator [GBY_125] (rows=746992327 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17"],aggregations:["count(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)"],keys:KEY._col0, KEY._col1, KEY._col2, KEY._col3, KEY._col4, KEY._col5, KEY._col6, KEY._col7, KEY._col8, KEY._col9, KEY._col10, KEY._col11, KEY._col12, KEY._col13 + <-Reducer 8 [SIMPLE_EDGE] + SHUFFLE [RS_124] + PartitionCols:_col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13 + Group By Operator [GBY_123] (rows=1493984654 width=88) + Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col17"],aggregations:["count()","sum(_col43)","sum(_col44)","sum(_col45)"],keys:_col28, _col46, _col29, _col7, _col9, _col14, _col15, _col16, _col17, _col23, _col24, _col25, _col26, _col49 + Select Operator [SEL_122] (rows=1493984654 width=88) + Output:["_col7","_col9","_col14","_col15","_col16","_col17","_col23","_col24","_col25","_col26","_col28","_col29","_col43","_col44","_col45","_col46","_col49"] + Filter Operator [FIL_121] (rows=1493984654 width=88) + predicate:(_col56 <> _col19) + Merge Join Operator [MERGEJOIN_596] (rows=1493984654 width=88) + Conds:RS_118._col37=RS_119._col0(Inner),Output:["_col7","_col9","_col14","_col15","_col16","_col17","_col19","_col23","_col24","_col25","_col26","_col28","_col29","_col43","_col44","_col45","_col46","_col49","_col56"] + <-Map 55 [SIMPLE_EDGE] + SHUFFLE [RS_119] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_99] + <-Reducer 7 [SIMPLE_EDGE] + SHUFFLE [RS_118] + PartitionCols:_col37 + Merge Join Operator [MERGEJOIN_595] (rows=1358167838 width=88) + Conds:RS_115._col0=RS_116._col16(Inner),Output:["_col7","_col9","_col14","_col15","_col16","_col17","_col19","_col23","_col24","_col25","_col26","_col28","_col29","_col37","_col43","_col44","_col45","_col46","_col49"] + <-Reducer 27 [SIMPLE_EDGE] + SHUFFLE [RS_116] + PartitionCols:_col16 + Select Operator [SEL_96] (rows=1234698008 width=88) + Output:["_col3","_col4","_col5","_col6","_col8","_col9","_col16","_col17","_col23","_col24","_col25","_col26","_col29"] + Merge Join Operator [MERGEJOIN_594] (rows=1234698008 width=88) + Conds:RS_93._col5, _col12=RS_94._col0, _col1(Inner),Output:["_col6","_col7","_col13","_col14","_col15","_col16","_col19","_col26","_col27","_col29","_col30","_col31","_col32"] + <-Map 54 [SIMPLE_EDGE] + SHUFFLE [RS_94] + PartitionCols:_col0, _col1 + Please refer to the previous Select Operator [SEL_77] + <-Reducer 26 [SIMPLE_EDGE] + SHUFFLE [RS_93] + PartitionCols:_col5, _col12 + Merge Join Operator [MERGEJOIN_593] (rows=1122452711 width=88) + Conds:RS_90._col9=RS_91._col0(Inner),Output:["_col5","_col6","_col7","_col12","_col13","_col14","_col15","_col16","_col19","_col26","_col27","_col29","_col30","_col31","_col32"] + <-Map 41 [SIMPLE_EDGE] + SHUFFLE [RS_91] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_21] + <-Reducer 25 [SIMPLE_EDGE] + SHUFFLE [RS_90] + PartitionCols:_col9 + Merge Join Operator [MERGEJOIN_592] (rows=1020411534 width=88) + Conds:RS_87._col10=RS_88._col0(Inner),Output:["_col5","_col6","_col7","_col9","_col12","_col13","_col14","_col15","_col16","_col19","_col26","_col27"] + <-Map 53 [SIMPLE_EDGE] + SHUFFLE [RS_88] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_71] + <-Reducer 24 [SIMPLE_EDGE] + SHUFFLE [RS_87] + PartitionCols:_col10 + Merge Join Operator [MERGEJOIN_591] (rows=927646829 width=88) + Conds:RS_84._col5=RS_85._col0(Inner),Output:["_col5","_col6","_col7","_col9","_col10","_col12","_col13","_col14","_col15","_col16","_col19"] + <-Reducer 23 [SIMPLE_EDGE] + SHUFFLE [RS_84] + PartitionCols:_col5 + Merge Join Operator [MERGEJOIN_590] (rows=843315281 width=88) + Conds:RS_81._col0=RS_82._col5(Inner),Output:["_col5","_col6","_col7","_col9","_col10","_col12","_col13","_col14","_col15","_col16","_col19"] + <-Reducer 22 [SIMPLE_EDGE] + SHUFFLE [RS_82] + PartitionCols:_col5 + Select Operator [SEL_52] (rows=766650239 width=88) + Output:["_col2","_col3","_col4","_col5","_col6","_col7","_col9","_col10","_col11","_col12","_col13","_col16"] + Merge Join Operator [MERGEJOIN_588] (rows=766650239 width=88) + Conds:RS_49._col7=RS_50._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col8","_col9","_col10","_col11","_col12","_col15"] + <-Map 46 [SIMPLE_EDGE] + SHUFFLE [RS_50] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_42] + <-Reducer 21 [SIMPLE_EDGE] + SHUFFLE [RS_49] + PartitionCols:_col7 + Merge Join Operator [MERGEJOIN_587] (rows=696954748 width=88) + Conds:RS_46._col0=RS_47._col0(Inner),Output:["_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col15"] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_47] + PartitionCols:_col0 + Select Operator [SEL_39] (rows=36524 width=1119) + Output:["_col0"] + Filter Operator [FIL_552] (rows=36524 width=1119) + predicate:((d_year = 2000) and d_date_sk is not null) + Please refer to the previous TableScan [TS_3] + <-Reducer 43 [SIMPLE_EDGE] + SHUFFLE [RS_46] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_586] (rows=633595212 width=88) + Conds:RS_43._col1=RS_44._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col15"] + <-Map 42 [SIMPLE_EDGE] + SHUFFLE [RS_43] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_33] + <-Map 45 [SIMPLE_EDGE] + SHUFFLE [RS_44] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_36] + <-Reducer 37 [SIMPLE_EDGE] + SHUFFLE [RS_81] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_585] (rows=7920 width=107) + Conds:RS_78._col1=RS_79._col0(Inner),Output:["_col0"] + <-Map 35 [SIMPLE_EDGE] + SHUFFLE [RS_78] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_11] + <-Map 40 [SIMPLE_EDGE] + SHUFFLE [RS_79] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_14] + <-Reducer 49 [ONE_TO_ONE_EDGE] + FORWARD [RS_85] + PartitionCols:_col0 + Select Operator [SEL_68] (rows=52798137 width=135) + Output:["_col0"] + Filter Operator [FIL_67] (rows=52798137 width=135) + predicate:(_col1 > (2 * _col2)) + Group By Operator [GBY_66] (rows=158394413 width=135) + Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)"],keys:KEY._col0 + <-Reducer 48 [SIMPLE_EDGE] + SHUFFLE [RS_65] + PartitionCols:_col0 + Group By Operator [GBY_64] (rows=316788826 width=135) + Output:["_col0","_col1","_col2"],aggregations:["sum(_col1)","sum(_col2)"],keys:_col0 + Select Operator [SEL_62] (rows=316788826 width=135) + Output:["_col0","_col1","_col2"] + Merge Join Operator [MERGEJOIN_589] (rows=316788826 width=135) + Conds:RS_59._col0, _col1=RS_60._col0, _col1(Inner),Output:["_col0","_col2","_col5","_col6","_col7"] + <-Map 47 [SIMPLE_EDGE] + SHUFFLE [RS_59] + PartitionCols:_col0, _col1 + Please refer to the previous Select Operator [SEL_55] + <-Map 52 [SIMPLE_EDGE] + SHUFFLE [RS_60] + PartitionCols:_col0, _col1 + Please refer to the previous Select Operator [SEL_58] + <-Reducer 6 [SIMPLE_EDGE] + SHUFFLE [RS_115] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_584] (rows=128840811 width=860) + Conds:RS_112._col1=RS_113._col0(Inner),Output:["_col0","_col7","_col9","_col14","_col15","_col16","_col17","_col19"] + <-Map 55 [SIMPLE_EDGE] + SHUFFLE [RS_113] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_99] + <-Reducer 5 [SIMPLE_EDGE] + SHUFFLE [RS_112] + PartitionCols:_col1 + Merge Join Operator [MERGEJOIN_583] (rows=117128008 width=860) + Conds:RS_109._col3=RS_110._col0(Inner),Output:["_col0","_col1","_col7","_col9","_col14","_col15","_col16","_col17"] + <-Map 41 [SIMPLE_EDGE] + SHUFFLE [RS_110] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_21] + <-Reducer 4 [SIMPLE_EDGE] + SHUFFLE [RS_109] + PartitionCols:_col3 + Merge Join Operator [MERGEJOIN_582] (rows=106480005 width=860) + Conds:RS_106._col2=RS_107._col0(Inner),Output:["_col0","_col1","_col3","_col7","_col9"] + <-Reducer 3 [SIMPLE_EDGE] + SHUFFLE [RS_106] + PartitionCols:_col2 + Merge Join Operator [MERGEJOIN_580] (rows=96800003 width=860) + Conds:RS_103._col4=RS_104._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col7","_col9"] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_104] + PartitionCols:_col0 + Select Operator [SEL_5] (rows=73049 width=1119) + Output:["_col0","_col1"] + Filter Operator [FIL_542] (rows=73049 width=1119) + predicate:d_date_sk is not null + Please refer to the previous TableScan [TS_3] + <-Reducer 2 [SIMPLE_EDGE] + SHUFFLE [RS_103] + PartitionCols:_col4 + Merge Join Operator [MERGEJOIN_579] (rows=88000001 width=860) + Conds:RS_100._col5=RS_101._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col7"] + <-Map 20 [SIMPLE_EDGE] + SHUFFLE [RS_101] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_5] + <-Map 1 [SIMPLE_EDGE] + SHUFFLE [RS_100] + PartitionCols:_col5 + Please refer to the previous Select Operator [SEL_2] + <-Reducer 36 [SIMPLE_EDGE] + SHUFFLE [RS_107] + PartitionCols:_col0 + Merge Join Operator [MERGEJOIN_581] (rows=7920 width=107) + Conds:RS_15._col1=RS_16._col0(Inner),Output:["_col0"] + <-Map 35 [SIMPLE_EDGE] + SHUFFLE [RS_15] + PartitionCols:_col1 + Please refer to the previous Select Operator [SEL_11] + <-Map 40 [SIMPLE_EDGE] + SHUFFLE [RS_16] + PartitionCols:_col0 + Please refer to the previous Select Operator [SEL_14] +
