http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query43.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query43.q.out b/ql/src/test/results/clientpositive/perf/spark/query43.q.out new file mode 100644 index 0000000..da08c7a --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query43.q.out @@ -0,0 +1,184 @@ +PREHOOK: query: explain +select s_store_name, s_store_id, + sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales, + sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales, + sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales, + sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales, + sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales, + sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales, + sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales + from date_dim, store_sales, store + where d_date_sk = ss_sold_date_sk and + s_store_sk = ss_store_sk and + s_gmt_offset = -6 and + d_year = 1998 + group by s_store_name, s_store_id + order by s_store_name, s_store_id,sun_sales,mon_sales,tue_sales,wed_sales,thu_sales,fri_sales,sat_sales + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select s_store_name, s_store_id, + sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales, + sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales, + sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales, + sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales, + sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales, + sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales, + sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales + from date_dim, store_sales, store + where d_date_sk = ss_sold_date_sk and + s_store_sk = ss_store_sk and + s_gmt_offset = -6 and + d_year = 1998 + group by s_store_name, s_store_id + order by s_store_name, s_store_id,sun_sales,mon_sales,tue_sales,wed_sales,thu_sales,fri_sales,sat_sales + limit 100 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-1 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Spark +#### A masked pattern was here #### + Vertices: + Map 6 + Map Operator Tree: + TableScan + alias: store + Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((s_gmt_offset = -6) and s_store_sk is not null) (type: boolean) + Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: s_store_sk (type: int), s_store_id (type: string), s_store_name (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 398), Map 5 (PARTITION-LEVEL SORT, 398) + Reducer 3 <- Reducer 2 (GROUP, 481) + Reducer 4 <- Reducer 3 (SORT, 1) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean) + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_sold_date_sk (type: int), ss_store_sk (type: int), ss_sales_price (type: decimal(7,2)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col2 (type: decimal(7,2)) + Map 5 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((d_year = 1998) and d_date_sk is not null) (type: boolean) + Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_date_sk (type: int), d_day_name (type: string) + outputColumnNames: _col0, _col2 + Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: string) + Reducer 2 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col2, _col5 + Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col2, _col5, _col7, _col8 + input vertices: + 1 Map 6 + Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: string), _col7 (type: string), CASE WHEN ((_col5 = 'Sunday')) THEN (_col2) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col5 = 'Monday')) THEN (_col2) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col5 = 'Tuesday')) THEN (_col2) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col5 = 'Wednesday')) THEN (_col2) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col5 = 'Thursday')) THEN (_col2) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col5 = 'Friday')) THEN (_col2) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col5 = 'Saturday')) THEN (_col2) ELSE (null) END (type: decimal(7,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col2), sum(_col3), sum(_col4), sum(_col5), sum(_col6), sum(_col7), sum(_col8) + keys: _col0 (type: string), _col1 (type: string) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string) + Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + value expressions: _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)), _col8 (type: decimal(17,2)) + Reducer 3 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4), sum(VALUE._col5), sum(VALUE._col6) + keys: KEY._col0 (type: string), KEY._col1 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)), _col8 (type: decimal(17,2)) + sort order: +++++++++ + Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + Reducer 4 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: decimal(17,2)), KEY.reducesinkkey3 (type: decimal(17,2)), KEY.reducesinkkey4 (type: decimal(17,2)), KEY.reducesinkkey5 (type: decimal(17,2)), KEY.reducesinkkey6 (type: decimal(17,2)), KEY.reducesinkkey7 (type: decimal(17,2)), KEY.reducesinkkey8 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8 + Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink +
http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query44.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query44.q.out b/ql/src/test/results/clientpositive/perf/spark/query44.q.out new file mode 100644 index 0000000..4c90d24 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query44.q.out @@ -0,0 +1,486 @@ +Warning: Shuffle Join JOIN[36][tables = [$hdt$_2, $hdt$_3, $hdt$_1]] in Work 'Reducer 8' is a cross product +Warning: Shuffle Join JOIN[81][tables = [$hdt$_4, $hdt$_5, $hdt$_3]] in Work 'Reducer 19' is a cross product +PREHOOK: query: explain +select asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing +from(select * + from (select item_sk,rank() over (order by rank_col asc) rnk + from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col + from store_sales ss1 + where ss_store_sk = 410 + group by ss_item_sk + having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col + from store_sales + where ss_store_sk = 410 + and ss_hdemo_sk is null + group by ss_store_sk))V1)V11 + where rnk < 11) asceding, + (select * + from (select item_sk,rank() over (order by rank_col desc) rnk + from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col + from store_sales ss1 + where ss_store_sk = 410 + group by ss_item_sk + having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col + from store_sales + where ss_store_sk = 410 + and ss_hdemo_sk is null + group by ss_store_sk))V2)V21 + where rnk < 11) descending, +item i1, +item i2 +where asceding.rnk = descending.rnk + and i1.i_item_sk=asceding.item_sk + and i2.i_item_sk=descending.item_sk +order by asceding.rnk +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select asceding.rnk, i1.i_product_name best_performing, i2.i_product_name worst_performing +from(select * + from (select item_sk,rank() over (order by rank_col asc) rnk + from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col + from store_sales ss1 + where ss_store_sk = 410 + group by ss_item_sk + having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col + from store_sales + where ss_store_sk = 410 + and ss_hdemo_sk is null + group by ss_store_sk))V1)V11 + where rnk < 11) asceding, + (select * + from (select item_sk,rank() over (order by rank_col desc) rnk + from (select ss_item_sk item_sk,avg(ss_net_profit) rank_col + from store_sales ss1 + where ss_store_sk = 410 + group by ss_item_sk + having avg(ss_net_profit) > 0.9*(select avg(ss_net_profit) rank_col + from store_sales + where ss_store_sk = 410 + and ss_hdemo_sk is null + group by ss_store_sk))V2)V21 + where rnk < 11) descending, +item i1, +item i2 +where asceding.rnk = descending.rnk + and i1.i_item_sk=asceding.item_sk + and i2.i_item_sk=descending.item_sk +order by asceding.rnk +limit 100 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 11 <- Map 10 (GROUP, 100) + Reducer 13 <- Map 12 (GROUP, 199) + Reducer 15 <- Map 14 (PARTITION-LEVEL SORT, 1009), Reducer 20 (PARTITION-LEVEL SORT, 1009) + Reducer 17 <- Map 16 (GROUP, 100) + Reducer 18 <- Reducer 17 (GROUP, 1) + Reducer 19 <- Reducer 18 (PARTITION-LEVEL SORT, 1), Reducer 22 (PARTITION-LEVEL SORT, 1), Reducer 24 (PARTITION-LEVEL SORT, 1) + Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 1009), Reducer 9 (PARTITION-LEVEL SORT, 1009) + Reducer 20 <- Reducer 19 (PARTITION-LEVEL SORT, 1009) + Reducer 22 <- Map 10 (GROUP, 100) + Reducer 24 <- Map 12 (GROUP, 199) + Reducer 3 <- Reducer 15 (PARTITION-LEVEL SORT, 1009), Reducer 2 (PARTITION-LEVEL SORT, 1009) + Reducer 4 <- Reducer 3 (SORT, 1) + Reducer 8 <- Reducer 11 (PARTITION-LEVEL SORT, 1), Reducer 13 (PARTITION-LEVEL SORT, 1), Reducer 18 (PARTITION-LEVEL SORT, 1) + Reducer 9 <- Reducer 8 (PARTITION-LEVEL SORT, 1009) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: i1 + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: i_item_sk is not null (type: boolean) + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: i_item_sk (type: int), i_product_name (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string) + Map 10 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((ss_store_sk = 410) and ss_hdemo_sk is null) (type: boolean) + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_net_profit (type: decimal(7,2)) + outputColumnNames: _col1 + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(_col1) + keys: 410 (type: int) + mode: hash + outputColumnNames: _col0, _col1 + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 12 + Map Operator Tree: + TableScan + alias: ss1 + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (ss_store_sk = 410) (type: boolean) + Statistics: Num rows: 287997817 Data size: 25407250999 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_item_sk (type: int), ss_net_profit (type: decimal(7,2)) + outputColumnNames: ss_item_sk, ss_net_profit + Statistics: Num rows: 287997817 Data size: 25407250999 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(ss_net_profit) + keys: ss_item_sk (type: int) + mode: hash + outputColumnNames: _col0, _col1 + Statistics: Num rows: 287997817 Data size: 25407250999 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 287997817 Data size: 25407250999 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: struct<count:bigint,sum:decimal(17,2),input:decimal(7,2)>) + Map 14 + Map Operator Tree: + TableScan + alias: i2 + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: i_item_sk is not null (type: boolean) + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: i_item_sk (type: int), i_product_name (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string) + Map 16 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((ss_store_sk = 410) and ss_hdemo_sk is null) (type: boolean) + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + Group By Operator + keys: 410 (type: int) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + Reducer 11 + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + keys: KEY._col0 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1 + Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: decimal(11,6)) + outputColumnNames: _col0 + Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: decimal(11,6)) + Reducer 13 + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + keys: KEY._col0 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1 + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int), _col1 (type: decimal(11,6)) + Reducer 15 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col3 + Statistics: Num rows: 1267180808338276 Data size: 234986744609712256 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col3 (type: int) + sort order: + + Map-reduce partition columns: _col3 (type: int) + Statistics: Num rows: 1267180808338276 Data size: 234986744609712256 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string) + Reducer 17 + Reduce Operator Tree: + Group By Operator + keys: KEY._col0 (type: int) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count() + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint) + Reducer 18 + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (sq_count_check(_col0) <= 1) (type: boolean) + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + Select Operator + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 8 Basic stats: COMPLETE Column stats: NONE + Reducer 19 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + Inner Join 0 to 2 + keys: + 0 + 1 + 2 + outputColumnNames: _col1, _col2, _col3 + Statistics: Num rows: 10367842752596232 Data size: 1922618777862369774 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (_col3 > (0.9 * _col1)) (type: boolean) + Statistics: Num rows: 3455947584198744 Data size: 640872925954123264 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: 0 (type: int), _col3 (type: decimal(11,6)) + sort order: +- + Map-reduce partition columns: 0 (type: int) + Statistics: Num rows: 3455947584198744 Data size: 640872925954123264 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + value expressions: _col2 (type: int) + Reducer 2 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col3 + Statistics: Num rows: 1267180808338276 Data size: 234986744609712256 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col3 (type: int) + sort order: + + Map-reduce partition columns: _col3 (type: int) + Statistics: Num rows: 1267180808338276 Data size: 234986744609712256 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string) + Reducer 20 + Reduce Operator Tree: + Select Operator + expressions: VALUE._col2 (type: int), KEY.reducesinkkey1 (type: decimal(11,6)) + outputColumnNames: _col2, _col3 + Statistics: Num rows: 3455947584198744 Data size: 640872925954123264 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col3: decimal(11,6) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 DESC NULLS LAST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col3 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 3455947584198744 Data size: 640872925954123264 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((rank_window_0 < 11) and _col2 is not null) (type: boolean) + Statistics: Num rows: 1151982528066248 Data size: 213624308651374400 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 1151982528066248 Data size: 213624308651374400 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 1151982528066248 Data size: 213624308651374400 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int) + Reducer 22 + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + keys: KEY._col0 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1 + Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: decimal(11,6)) + outputColumnNames: _col0 + Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 71999454 Data size: 6351812727 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: decimal(11,6)) + Reducer 24 + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + keys: KEY._col0 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1 + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 143998908 Data size: 12703625455 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int), _col1 (type: decimal(11,6)) + Reducer 3 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col3 (type: int) + 1 _col3 (type: int) + outputColumnNames: _col1, _col3, _col5 + Statistics: Num rows: 1393898919384048 Data size: 258485424673204064 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col3 (type: int), _col1 (type: string), _col5 (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 1393898919384048 Data size: 258485424673204064 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Statistics: Num rows: 1393898919384048 Data size: 258485424673204064 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + value expressions: _col1 (type: string), _col2 (type: string) + Reducer 4 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), VALUE._col0 (type: string), VALUE._col1 (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 1393898919384048 Data size: 258485424673204064 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 18500 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 18500 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + Reducer 8 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + Inner Join 0 to 2 + keys: + 0 + 1 + 2 + outputColumnNames: _col1, _col2, _col3 + Statistics: Num rows: 10367842752596232 Data size: 1922618777862369774 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (_col3 > (0.9 * _col1)) (type: boolean) + Statistics: Num rows: 3455947584198744 Data size: 640872925954123264 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: 0 (type: int), _col3 (type: decimal(11,6)) + sort order: ++ + Map-reduce partition columns: 0 (type: int) + Statistics: Num rows: 3455947584198744 Data size: 640872925954123264 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + value expressions: _col2 (type: int) + Reducer 9 + Reduce Operator Tree: + Select Operator + expressions: VALUE._col2 (type: int), KEY.reducesinkkey1 (type: decimal(11,6)) + outputColumnNames: _col2, _col3 + Statistics: Num rows: 3455947584198744 Data size: 640872925954123264 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col2: int, _col3: decimal(11,6) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 ASC NULLS FIRST + partition by: 0 + raw input shape: + window functions: + window function definition + alias: rank_window_0 + arguments: _col3 + name: rank + window function: GenericUDAFRankEvaluator + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + isPivotResult: true + Statistics: Num rows: 3455947584198744 Data size: 640872925954123264 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((rank_window_0 < 11) and _col2 is not null) (type: boolean) + Statistics: Num rows: 1151982528066248 Data size: 213624308651374400 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: int), rank_window_0 (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 1151982528066248 Data size: 213624308651374400 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 1151982528066248 Data size: 213624308651374400 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int) + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query45.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query45.q.out b/ql/src/test/results/clientpositive/perf/spark/query45.q.out new file mode 100644 index 0000000..07af4e2 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query45.q.out @@ -0,0 +1,374 @@ +Warning: Map Join MAPJOIN[67][bigTable=?] in task 'Stage-1:MAPRED' is a cross product +PREHOOK: query: explain +select ca_zip, ca_county, sum(ws_sales_price) + from web_sales, customer, customer_address, date_dim, item + where ws_bill_customer_sk = c_customer_sk + and c_current_addr_sk = ca_address_sk + and ws_item_sk = i_item_sk + and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', '85392', '85460', '80348', '81792') + or + i_item_id in (select i_item_id + from item + where i_item_sk in (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) + ) + ) + and ws_sold_date_sk = d_date_sk + and d_qoy = 2 and d_year = 2000 + group by ca_zip, ca_county + order by ca_zip, ca_county + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select ca_zip, ca_county, sum(ws_sales_price) + from web_sales, customer, customer_address, date_dim, item + where ws_bill_customer_sk = c_customer_sk + and c_current_addr_sk = ca_address_sk + and ws_item_sk = i_item_sk + and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475', '85392', '85460', '80348', '81792') + or + i_item_id in (select i_item_id + from item + where i_item_sk in (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) + ) + ) + and ws_sold_date_sk = d_date_sk + and d_qoy = 2 and d_year = 2000 + group by ca_zip, ca_county + order by ca_zip, ca_county + limit 100 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-1 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Spark + Edges: + Reducer 16 <- Map 15 (GROUP, 1) +#### A masked pattern was here #### + Vertices: + Map 15 + Map Operator Tree: + TableScan + alias: item + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (i_item_sk) IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) (type: boolean) + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: i_item_id (type: string) + outputColumnNames: i_item_id + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: count(), count(i_item_id) + mode: hash + outputColumnNames: _col0, _col1 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + sort order: + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: bigint), _col1 (type: bigint) + Reducer 16 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Group By Operator + aggregations: count(VALUE._col0), count(VALUE._col1) + mode: mergepartial + outputColumnNames: _col0, _col1 + Statistics: Num rows: 1 Data size: 16 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 + 1 + + Stage: Stage-1 + Spark + Edges: + Reducer 11 <- Map 10 (GROUP, 3) + Reducer 13 <- Map 12 (PARTITION-LEVEL SORT, 154), Map 14 (PARTITION-LEVEL SORT, 154) + Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 855), Map 6 (PARTITION-LEVEL SORT, 855) + Reducer 3 <- Reducer 2 (PARTITION-LEVEL SORT, 777), Reducer 9 (PARTITION-LEVEL SORT, 777) + Reducer 4 <- Reducer 3 (GROUP, 230) + Reducer 5 <- Reducer 4 (SORT, 1) + Reducer 8 <- Map 7 (PARTITION-LEVEL SORT, 7), Reducer 11 (PARTITION-LEVEL SORT, 7) + Reducer 9 <- Reducer 13 (PARTITION-LEVEL SORT, 174), Reducer 8 (PARTITION-LEVEL SORT, 174) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: customer + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean) + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: c_customer_sk (type: int), c_current_addr_sk (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int) + Map 10 + Map Operator Tree: + TableScan + alias: item + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (i_item_sk) IN (2, 3, 5, 7, 11, 13, 17, 19, 23, 29) (type: boolean) + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: i_item_id (type: string) + outputColumnNames: i_item_id + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + Group By Operator + keys: i_item_id (type: string) + mode: hash + outputColumnNames: _col0 + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + Map 12 + Map Operator Tree: + TableScan + alias: web_sales + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (ws_bill_customer_sk is not null and ws_item_sk is not null and ws_sold_date_sk is not null) (type: boolean) + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ws_sold_date_sk (type: int), ws_item_sk (type: int), ws_bill_customer_sk (type: int), ws_sales_price (type: decimal(7,2)) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: decimal(7,2)) + Map 14 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((d_qoy = 2) and (d_year = 2000) and d_date_sk is not null) (type: boolean) + Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_date_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Map 6 + Map Operator Tree: + TableScan + alias: customer_address + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ca_address_sk is not null (type: boolean) + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ca_address_sk (type: int), ca_county (type: string), ca_zip (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string), _col2 (type: string) + Map 7 + Map Operator Tree: + TableScan + alias: item + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: i_item_sk is not null (type: boolean) + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: i_item_sk (type: int), i_item_id (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: string) + sort order: + + Map-reduce partition columns: _col1 (type: string) + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int) + Reducer 11 + Reduce Operator Tree: + Group By Operator + keys: KEY._col0 (type: string) + mode: mergepartial + outputColumnNames: _col0 + Statistics: Num rows: 115500 Data size: 165890114 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: string), true (type: boolean) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 115500 Data size: 165890114 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string) + sort order: + + Map-reduce partition columns: _col0 (type: string) + Statistics: Num rows: 115500 Data size: 165890114 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: boolean) + Reducer 13 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col2, _col3 + Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: int), _col3 (type: decimal(7,2)) + Reducer 2 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col3, _col4 + Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: string), _col4 (type: string) + Reducer 3 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col6 (type: int) + outputColumnNames: _col3, _col4, _col6, _col8, _col12 + Statistics: Num rows: 191667562 Data size: 26061245514 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 + 1 + outputColumnNames: _col3, _col4, _col6, _col8, _col12, _col16, _col17 + input vertices: + 1 Reducer 16 + Statistics: Num rows: 191667562 Data size: 29319594068 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col12 (type: decimal(7,2)), _col3 (type: string), _col4 (type: string), _col6 (type: string), _col16 (type: bigint), _col17 (type: bigint), _col8 (type: boolean) + outputColumnNames: _col3, _col7, _col8, _col13, _col14, _col15, _col17 + Statistics: Num rows: 191667562 Data size: 29319594068 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((substr(_col8, 1, 5)) IN ('85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348', '81792') or CASE WHEN ((_col14 = 0)) THEN (false) WHEN (_col17 is not null) THEN (true) WHEN (_col13 is null) THEN (null) WHEN ((_col15 < _col14)) THEN (null) ELSE (false) END) (type: boolean) + Statistics: Num rows: 191667562 Data size: 29319594068 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col3 (type: decimal(7,2)), _col7 (type: string), _col8 (type: string) + outputColumnNames: _col3, _col7, _col8 + Statistics: Num rows: 191667562 Data size: 29319594068 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col3) + keys: _col8 (type: string), _col7 (type: string) + mode: hash + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 191667562 Data size: 29319594068 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string) + Statistics: Num rows: 191667562 Data size: 29319594068 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + value expressions: _col2 (type: decimal(17,2)) + Reducer 4 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + keys: KEY._col0 (type: string), KEY._col1 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 95833781 Data size: 14659797034 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Statistics: Num rows: 95833781 Data size: 14659797034 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + value expressions: _col2 (type: decimal(17,2)) + Reducer 5 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 95833781 Data size: 14659797034 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 15200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 15200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + Reducer 8 + Reduce Operator Tree: + Join Operator + condition map: + Left Outer Join 0 to 1 + keys: + 0 _col1 (type: string) + 1 _col0 (type: string) + outputColumnNames: _col0, _col1, _col3 + Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string), _col3 (type: boolean) + Reducer 9 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col1 (type: int) + outputColumnNames: _col1, _col3, _col6, _col7 + Statistics: Num rows: 174243235 Data size: 23692040863 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col6 (type: int) + sort order: + + Map-reduce partition columns: _col6 (type: int) + Statistics: Num rows: 174243235 Data size: 23692040863 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string), _col3 (type: boolean), _col7 (type: decimal(7,2)) + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query46.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query46.q.out b/ql/src/test/results/clientpositive/perf/spark/query46.q.out new file mode 100644 index 0000000..8b0525d --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query46.q.out @@ -0,0 +1,355 @@ +PREHOOK: query: explain +select c_last_name + ,c_first_name + ,ca_city + ,bought_city + ,ss_ticket_number + ,amt,profit + from + (select ss_ticket_number + ,ss_customer_sk + ,ca_city bought_city + ,sum(ss_coupon_amt) amt + ,sum(ss_net_profit) profit + from store_sales,date_dim,store,household_demographics,customer_address + where store_sales.ss_sold_date_sk = date_dim.d_date_sk + and store_sales.ss_store_sk = store.s_store_sk + and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + and store_sales.ss_addr_sk = customer_address.ca_address_sk + and (household_demographics.hd_dep_count = 2 or + household_demographics.hd_vehicle_count= 1) + and date_dim.d_dow in (6,0) + and date_dim.d_year in (1998,1998+1,1998+2) + and store.s_city in ('Cedar Grove','Wildwood','Union','Salem','Highland Park') + group by ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city) dn,customer,customer_address current_addr + where ss_customer_sk = c_customer_sk + and customer.c_current_addr_sk = current_addr.ca_address_sk + and current_addr.ca_city <> bought_city + order by c_last_name + ,c_first_name + ,ca_city + ,bought_city + ,ss_ticket_number + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select c_last_name + ,c_first_name + ,ca_city + ,bought_city + ,ss_ticket_number + ,amt,profit + from + (select ss_ticket_number + ,ss_customer_sk + ,ca_city bought_city + ,sum(ss_coupon_amt) amt + ,sum(ss_net_profit) profit + from store_sales,date_dim,store,household_demographics,customer_address + where store_sales.ss_sold_date_sk = date_dim.d_date_sk + and store_sales.ss_store_sk = store.s_store_sk + and store_sales.ss_hdemo_sk = household_demographics.hd_demo_sk + and store_sales.ss_addr_sk = customer_address.ca_address_sk + and (household_demographics.hd_dep_count = 2 or + household_demographics.hd_vehicle_count= 1) + and date_dim.d_dow in (6,0) + and date_dim.d_year in (1998,1998+1,1998+2) + and store.s_city in ('Cedar Grove','Wildwood','Union','Salem','Highland Park') + group by ss_ticket_number,ss_customer_sk,ss_addr_sk,ca_city) dn,customer,customer_address current_addr + where ss_customer_sk = c_customer_sk + and customer.c_current_addr_sk = current_addr.ca_address_sk + and current_addr.ca_city <> bought_city + order by c_last_name + ,c_first_name + ,ca_city + ,bought_city + ,ss_ticket_number + limit 100 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-1 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Spark +#### A masked pattern was here #### + Vertices: + Map 11 + Map Operator Tree: + TableScan + alias: store + Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((s_city) IN ('Cedar Grove', 'Wildwood', 'Union', 'Salem', 'Highland Park') and s_store_sk is not null) (type: boolean) + Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: s_store_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 852 Data size: 1628138 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col4 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + Map 12 + Map Operator Tree: + TableScan + alias: household_demographics + Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (((hd_dep_count = 2) or (hd_vehicle_count = 1)) and hd_demo_sk is not null) (type: boolean) + Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: hd_demo_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 7200 Data size: 770400 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 855), Map 5 (PARTITION-LEVEL SORT, 855) + Reducer 3 <- Reducer 2 (PARTITION-LEVEL SORT, 882), Reducer 9 (PARTITION-LEVEL SORT, 882) + Reducer 4 <- Reducer 3 (SORT, 1) + Reducer 7 <- Map 10 (PARTITION-LEVEL SORT, 398), Map 6 (PARTITION-LEVEL SORT, 398) + Reducer 8 <- Map 13 (PARTITION-LEVEL SORT, 846), Reducer 7 (PARTITION-LEVEL SORT, 846) + Reducer 9 <- Reducer 8 (GROUP, 582) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: customer + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean) + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: c_customer_sk (type: int), c_current_addr_sk (type: int), c_first_name (type: string), c_last_name (type: string) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int), _col2 (type: string), _col3 (type: string) + Map 10 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((d_dow) IN (6, 0) and (d_year) IN (1998, 1999, 2000) and d_date_sk is not null) (type: boolean) + Statistics: Num rows: 18263 Data size: 20436297 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_date_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 18263 Data size: 20436297 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 18263 Data size: 20436297 Basic stats: COMPLETE Column stats: NONE + Map 13 + Map Operator Tree: + TableScan + alias: customer_address + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ca_address_sk is not null (type: boolean) + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ca_address_sk (type: int), ca_city (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string) + Map 5 + Map Operator Tree: + TableScan + alias: current_addr + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ca_address_sk is not null (type: boolean) + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ca_address_sk (type: int), ca_city (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string) + Map 6 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (ss_addr_sk is not null and ss_customer_sk is not null and ss_hdemo_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean) + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_sold_date_sk (type: int), ss_customer_sk (type: int), ss_hdemo_sk (type: int), ss_addr_sk (type: int), ss_store_sk (type: int), ss_ticket_number (type: int), ss_coupon_amt (type: decimal(7,2)), ss_net_profit (type: decimal(7,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: int), _col5 (type: int), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)) + Reducer 2 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col2, _col3, _col5 + Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: string), _col3 (type: string), _col5 (type: string) + Reducer 3 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col1 (type: int) + outputColumnNames: _col2, _col3, _col5, _col6, _col8, _col9, _col10 + Statistics: Num rows: 463823414 Data size: 40918636263 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (_col5 <> _col8) (type: boolean) + Statistics: Num rows: 463823414 Data size: 40918636263 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col3 (type: string), _col2 (type: string), _col5 (type: string), _col8 (type: string), _col6 (type: int), _col9 (type: decimal(17,2)), _col10 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 463823414 Data size: 40918636263 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int) + sort order: +++++ + Statistics: Num rows: 463823414 Data size: 40918636263 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + value expressions: _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)) + Reducer 4 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: int), VALUE._col0 (type: decimal(17,2)), VALUE._col1 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 463823414 Data size: 40918636263 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + Reducer 7 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col4 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col2, _col3, _col5, _col6, _col7 + input vertices: + 1 Map 11 + Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col3, _col5, _col6, _col7 + input vertices: + 1 Map 12 + Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col3 (type: int) + sort order: + + Map-reduce partition columns: _col3 (type: int) + Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col5 (type: int), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2)) + Reducer 8 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col3 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col3, _col5, _col6, _col7, _col17 + Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col6), sum(_col7) + keys: _col1 (type: int), _col17 (type: string), _col3 (type: int), _col5 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int), _col1 (type: string), _col2 (type: int), _col3 (type: int) + sort order: ++++ + Map-reduce partition columns: _col0 (type: int), _col1 (type: string), _col2 (type: int), _col3 (type: int) + Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE + value expressions: _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)) + Reducer 9 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1) + keys: KEY._col0 (type: int), KEY._col1 (type: string), KEY._col2 (type: int), KEY._col3 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col3 (type: int), _col0 (type: int), _col1 (type: string), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int), _col2 (type: string), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)) + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink +
