Mostafa Mokhtar created HIVE-8731: ------------------------------------- Summary: TPC-DS Q49 : More rows are returned than the limit set in the query Key: HIVE-8731 URL: https://issues.apache.org/jira/browse/HIVE-8731 Project: Hive Issue Type: Bug Components: Vectorization Affects Versions: 0.14.0 Reporter: Mostafa Mokhtar Assignee: Matt McCline Priority: Critical Fix For: 0.14.0
TPC-DS query 49 returns more rows than that set in limit. Query {code} set hive.cbo.enable=true; set hive.stats.fetch.column.stats=true; set hive.exec.dynamic.partition.mode=nonstrict; set hive.tez.auto.reducer.parallelism=true; set hive.auto.convert.join.noconditionaltask.size=1280000000; set hive.exec.reducers.bytes.per.reducer=100000000; set hive.txn.manager=org.apache.hadoop.hive.ql.lockmgr.DummyTxnManager; set hive.support.concurrency=false; set hive.tez.exec.print.summary=true; explain select 'web' as channel ,web.item ,web.return_ratio ,web.return_rank ,web.currency_rank from ( select item ,return_ratio ,currency_ratio ,rank() over (order by return_ratio) as return_rank ,rank() over (order by currency_ratio) as currency_rank from ( select ws.ws_item_sk as item ,(cast(sum(coalesce(wr.wr_return_quantity,0)) as decimal(15,4))/ cast(sum(coalesce(ws.ws_quantity,0)) as decimal(15,4) )) as return_ratio ,(cast(sum(coalesce(wr.wr_return_amt,0)) as decimal(15,4))/ cast(sum(coalesce(ws.ws_net_paid,0)) as decimal(15,4) )) as currency_ratio from web_sales ws left outer join web_returns wr on (ws.ws_order_number = wr.wr_order_number and ws.ws_item_sk = wr.wr_item_sk) ,date_dim where wr.wr_return_amt > 10000 and ws.ws_net_profit > 1 and ws.ws_net_paid > 0 and ws.ws_quantity > 0 and ws.ws_sold_date_sk = date_dim.d_date_sk and d_year = 2000 and d_moy = 12 group by ws.ws_item_sk ) in_web ) web where ( web.return_rank <= 10 or web.currency_rank <= 10 ) union all select 'catalog' as channel ,catalog.item ,catalog.return_ratio ,catalog.return_rank ,catalog.currency_rank from ( select item ,return_ratio ,currency_ratio ,rank() over (order by return_ratio) as return_rank ,rank() over (order by currency_ratio) as currency_rank from ( select cs.cs_item_sk as item ,(cast(sum(coalesce(cr.cr_return_quantity,0)) as decimal(15,4))/ cast(sum(coalesce(cs.cs_quantity,0)) as decimal(15,4) )) as return_ratio ,(cast(sum(coalesce(cr.cr_return_amount,0)) as decimal(15,4))/ cast(sum(coalesce(cs.cs_net_paid,0)) as decimal(15,4) )) as currency_ratio from catalog_sales cs left outer join catalog_returns cr on (cs.cs_order_number = cr.cr_order_number and cs.cs_item_sk = cr.cr_item_sk) ,date_dim where cr.cr_return_amount > 10000 and cs.cs_net_profit > 1 and cs.cs_net_paid > 0 and cs.cs_quantity > 0 and cs_sold_date_sk = d_date_sk and d_year = 2000 and d_moy = 12 group by cs.cs_item_sk ) in_cat ) catalog where ( catalog.return_rank <= 10 or catalog.currency_rank <=10 ) union all select 'store' as channel ,store.item ,store.return_ratio ,store.return_rank ,store.currency_rank from ( select item ,return_ratio ,currency_ratio ,rank() over (order by return_ratio) as return_rank ,rank() over (order by currency_ratio) as currency_rank from ( select sts.ss_item_sk as item ,(cast(sum(coalesce(sr.sr_return_quantity,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_quantity,0)) as decimal(15,4) )) as return_ratio ,(cast(sum(coalesce(sr.sr_return_amt,0)) as decimal(15,4))/cast(sum(coalesce(sts.ss_net_paid,0)) as decimal(15,4) )) as currency_ratio from store_sales sts left outer join store_returns sr on (sts.ss_ticket_number = sr.sr_ticket_number and sts.ss_item_sk = sr.sr_item_sk) ,date_dim where sr.sr_return_amt > 10000 and sts.ss_net_profit > 1 and sts.ss_net_paid > 0 and sts.ss_quantity > 0 and ss_sold_date_sk = d_date_sk and d_year = 2000 and d_moy = 12 group by sts.ss_item_sk ) in_store ) store where ( store.return_rank <= 10 or store.currency_rank <= 10 ) order by 1,4,5 limit 100 {code} Explain {code} OK STAGE DEPENDENCIES: Stage-1 is a root stage Stage-0 depends on stages: Stage-1 STAGE PLANS: Stage: Stage-1 Tez Edges: Map 11 <- Map 2 (BROADCAST_EDGE) Map 16 <- Map 1 (BROADCAST_EDGE) Map 9 <- Map 10 (BROADCAST_EDGE) Reducer 12 <- Map 11 (SIMPLE_EDGE), Map 23 (SIMPLE_EDGE) Reducer 13 <- Reducer 12 (SIMPLE_EDGE) Reducer 14 <- Reducer 13 (SIMPLE_EDGE) Reducer 15 <- Reducer 14 (SIMPLE_EDGE), Union 8 (CONTAINS) Reducer 17 <- Map 16 (SIMPLE_EDGE), Map 22 (SIMPLE_EDGE) Reducer 18 <- Reducer 17 (SIMPLE_EDGE) Reducer 19 <- Reducer 18 (SIMPLE_EDGE) Reducer 20 <- Reducer 19 (SIMPLE_EDGE) Reducer 21 <- Reducer 20 (SIMPLE_EDGE), Union 8 (CONTAINS) Reducer 4 <- Map 3 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE) Reducer 5 <- Reducer 4 (SIMPLE_EDGE) Reducer 6 <- Reducer 5 (SIMPLE_EDGE) Reducer 7 <- Reducer 6 (SIMPLE_EDGE), Union 8 (CONTAINS) DagName: mmokhtar_20141104031616_2feed955-8bb2-41e9-a7be-247a5fd102f0:1 Vertices: Map 1 Map Operator Tree: TableScan alias: date_dim filterExpr: (((d_year = 2000) and (d_moy = 12)) and d_date_sk is not null) (type: boolean) Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((d_year = 2000) and (d_moy = 12)) and d_date_sk is not null) (type: boolean) Statistics: Num rows: 652 Data size: 7824 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: d_date_sk (type: int) outputColumnNames: _col0 Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: int) sort order: + Map-reduce partition columns: _col0 (type: int) Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int) outputColumnNames: _col0 Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator keys: _col0 (type: int) mode: hash outputColumnNames: _col0 Statistics: Num rows: 326 Data size: 1304 Basic stats: COMPLETE Column stats: COMPLETE Dynamic Partitioning Event Operator Target Input: sts Partition key expr: ss_sold_date_sk Statistics: Num rows: 326 Data size: 1304 Basic stats: COMPLETE Column stats: COMPLETE Target column: ss_sold_date_sk Target Vertex: Map 16 Execution mode: vectorized Map 10 Map Operator Tree: TableScan alias: date_dim filterExpr: (((d_year = 2000) and (d_moy = 12)) and d_date_sk is not null) (type: boolean) Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((d_year = 2000) and (d_moy = 12)) and d_date_sk is not null) (type: boolean) Statistics: Num rows: 652 Data size: 7824 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: d_date_sk (type: int) outputColumnNames: _col0 Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: int) sort order: + Map-reduce partition columns: _col0 (type: int) Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int) outputColumnNames: _col0 Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator keys: _col0 (type: int) mode: hash outputColumnNames: _col0 Statistics: Num rows: 326 Data size: 1304 Basic stats: COMPLETE Column stats: COMPLETE Dynamic Partitioning Event Operator Target Input: ws Partition key expr: ws_sold_date_sk Statistics: Num rows: 326 Data size: 1304 Basic stats: COMPLETE Column stats: COMPLETE Target column: ws_sold_date_sk Target Vertex: Map 9 Execution mode: vectorized Map 11 Map Operator Tree: TableScan alias: cs filterExpr: (((((cs_net_profit > 1.0) and (cs_net_paid > 0.0)) and (cs_quantity > 0)) and cs_order_number is not null) and cs_item_sk is not null) (type: boolean) Statistics: Num rows: 43005109025 Data size: 5569553841288 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((((cs_net_profit > 1.0) and (cs_net_paid > 0.0)) and (cs_quantity > 0)) and cs_order_number is not null) and cs_item_sk is not null) (type: boolean) Statistics: Num rows: 712248037 Data size: 15504677212 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: cs_item_sk (type: int), cs_order_number (type: int), cs_quantity (type: int), cs_net_paid (type: float), cs_sold_date_sk (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col5 Statistics: Num rows: 712248037 Data size: 12655685064 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {_col0} {_col1} {_col2} {_col3} 1 keys: 0 _col5 (type: int) 1 _col0 (type: int) outputColumnNames: _col0, _col1, _col2, _col3 input vertices: 1 Map 2 Statistics: Num rows: 795181027 Data size: 12722896432 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: float) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 795181027 Data size: 12722896432 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col1 (type: int), _col0 (type: int) sort order: ++ Map-reduce partition columns: _col1 (type: int), _col0 (type: int) Statistics: Num rows: 795181027 Data size: 12722896432 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col2 (type: int), _col3 (type: float) Execution mode: vectorized Map 16 Map Operator Tree: TableScan alias: sts filterExpr: (((((ss_net_profit > 1.0) and (ss_net_paid > 0.0)) and (ss_quantity > 0)) and ss_ticket_number is not null) and ss_item_sk is not null) (type: boolean) Statistics: Num rows: 82510879939 Data size: 6873789738208 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((((ss_net_profit > 1.0) and (ss_net_paid > 0.0)) and (ss_quantity > 0)) and ss_ticket_number is not null) and ss_item_sk is not null) (type: boolean) Statistics: Num rows: 911486684 Data size: 19059525624 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: ss_item_sk (type: int), ss_ticket_number (type: int), ss_quantity (type: int), ss_net_paid (type: float), ss_sold_date_sk (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col5 Statistics: Num rows: 911486684 Data size: 15499570644 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {_col0} {_col1} {_col2} {_col3} 1 keys: 0 _col5 (type: int) 1 _col0 (type: int) outputColumnNames: _col0, _col1, _col2, _col3 input vertices: 1 Map 1 Statistics: Num rows: 1017618695 Data size: 16281899120 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: float) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 1017618695 Data size: 16281899120 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col1 (type: int), _col0 (type: int) sort order: ++ Map-reduce partition columns: _col1 (type: int), _col0 (type: int) Statistics: Num rows: 1017618695 Data size: 16281899120 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col2 (type: int), _col3 (type: float) Execution mode: vectorized Map 2 Map Operator Tree: TableScan alias: date_dim filterExpr: (((d_year = 2000) and (d_moy = 12)) and d_date_sk is not null) (type: boolean) Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((d_year = 2000) and (d_moy = 12)) and d_date_sk is not null) (type: boolean) Statistics: Num rows: 652 Data size: 7824 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: d_date_sk (type: int) outputColumnNames: _col0 Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: int) sort order: + Map-reduce partition columns: _col0 (type: int) Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int) outputColumnNames: _col0 Statistics: Num rows: 652 Data size: 2608 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator keys: _col0 (type: int) mode: hash outputColumnNames: _col0 Statistics: Num rows: 326 Data size: 1304 Basic stats: COMPLETE Column stats: COMPLETE Dynamic Partitioning Event Operator Target Input: cs Partition key expr: cs_sold_date_sk Statistics: Num rows: 326 Data size: 1304 Basic stats: COMPLETE Column stats: COMPLETE Target column: cs_sold_date_sk Target Vertex: Map 11 Execution mode: vectorized Map 22 Map Operator Tree: TableScan alias: sr filterExpr: (((sr_return_amt > 10000.0) and sr_ticket_number is not null) and sr_item_sk is not null) (type: boolean) Statistics: Num rows: 8332595709 Data size: 599630285540 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((sr_return_amt > 10000.0) and sr_ticket_number is not null) and sr_item_sk is not null) (type: boolean) Statistics: Num rows: 828937940 Data size: 10816321020 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: sr_item_sk (type: int), sr_ticket_number (type: int), sr_return_quantity (type: int), sr_return_amt (type: float) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 828937940 Data size: 10816321020 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col1 (type: int), _col0 (type: int) sort order: ++ Map-reduce partition columns: _col1 (type: int), _col0 (type: int) Statistics: Num rows: 828937940 Data size: 10816321020 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col2 (type: int), _col3 (type: float) Execution mode: vectorized Map 23 Map Operator Tree: TableScan alias: cr filterExpr: (((cr_return_amount > 10000.0) and cr_order_number is not null) and cr_item_sk is not null) (type: boolean) Statistics: Num rows: 4320980099 Data size: 431907559456 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((cr_return_amount > 10000.0) and cr_order_number is not null) and cr_item_sk is not null) (type: boolean) Statistics: Num rows: 644267320 Data size: 8780816984 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: cr_item_sk (type: int), cr_order_number (type: int), cr_return_quantity (type: int), cr_return_amount (type: float) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 644267320 Data size: 8780816984 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col1 (type: int), _col0 (type: int) sort order: ++ Map-reduce partition columns: _col1 (type: int), _col0 (type: int) Statistics: Num rows: 644267320 Data size: 8780816984 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col2 (type: int), _col3 (type: float) Execution mode: vectorized Map 3 Map Operator Tree: TableScan alias: wr filterExpr: (((wr_return_amt > 10000.0) and wr_order_number is not null) and wr_item_sk is not null) (type: boolean) Statistics: Num rows: 2062802370 Data size: 185695406284 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((wr_return_amt > 10000.0) and wr_order_number is not null) and wr_item_sk is not null) (type: boolean) Statistics: Num rows: 687600790 Data size: 10872009264 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: wr_item_sk (type: int), wr_order_number (type: int), wr_return_quantity (type: int), wr_return_amt (type: float) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 687600790 Data size: 10872009264 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col1 (type: int), _col0 (type: int) sort order: ++ Map-reduce partition columns: _col1 (type: int), _col0 (type: int) Statistics: Num rows: 687600790 Data size: 10872009264 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col2 (type: int), _col3 (type: float) Execution mode: vectorized Map 9 Map Operator Tree: TableScan alias: ws filterExpr: (((((ws_net_profit > 1.0) and (ws_net_paid > 0.0)) and (ws_quantity > 0)) and ws_order_number is not null) and ws_item_sk is not null) (type: boolean) Statistics: Num rows: 21594638446 Data size: 2850189889652 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: (((((ws_net_profit > 1.0) and (ws_net_paid > 0.0)) and (ws_quantity > 0)) and ws_order_number is not null) and ws_item_sk is not null) (type: boolean) Statistics: Num rows: 799801423 Data size: 19194435896 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: ws_item_sk (type: int), ws_order_number (type: int), ws_quantity (type: int), ws_net_paid (type: float), ws_sold_date_sk (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col5 Statistics: Num rows: 799801423 Data size: 15995230204 Basic stats: COMPLETE Column stats: COMPLETE Map Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {_col0} {_col1} {_col2} {_col3} 1 keys: 0 _col5 (type: int) 1 _col0 (type: int) outputColumnNames: _col0, _col1, _col2, _col3 input vertices: 1 Map 10 Statistics: Num rows: 892928985 Data size: 14286863760 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int), _col1 (type: int), _col2 (type: int), _col3 (type: float) outputColumnNames: _col0, _col1, _col2, _col3 Statistics: Num rows: 892928985 Data size: 14286863760 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col1 (type: int), _col0 (type: int) sort order: ++ Map-reduce partition columns: _col1 (type: int), _col0 (type: int) Statistics: Num rows: 892928985 Data size: 14286863760 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col2 (type: int), _col3 (type: float) Execution mode: vectorized Reducer 12 Reduce Operator Tree: Merge Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {VALUE._col0} {VALUE._col1} 1 {KEY.reducesinkkey1} {VALUE._col0} {VALUE._col1} outputColumnNames: _col2, _col3, _col4, _col6, _col7 Statistics: Num rows: 750469116 Data size: 9005629392 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col4 (type: int), COALESCE(_col2,0) (type: int), COALESCE(_col6,0) (type: int), COALESCE(_col3,0) (type: float), COALESCE(_col7,0) (type: float) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 750469116 Data size: 9005629392 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator aggregations: sum(_col1), sum(_col2), sum(_col3), sum(_col4) keys: _col0 (type: int) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 461643 Data size: 16619148 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: int) sort order: + Map-reduce partition columns: _col0 (type: int) Statistics: Num rows: 461643 Data size: 16619148 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: double), _col4 (type: double) Reducer 13 Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3) keys: KEY._col0 (type: int) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 5073 Data size: 182628 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int), (CAST( _col1 AS decimal(15,4)) / CAST( _col2 AS decimal(15,4))) (type: decimal(35,20)), (CAST( _col3 AS decimal(15,4)) / CAST( _col4 AS decimal(15,4))) (type: decimal(35,20)) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 5073 Data size: 1156644 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: 0 (type: int), _col1 (type: decimal(35,20)) sort order: ++ Map-reduce partition columns: 0 (type: int) Statistics: Num rows: 5073 Data size: 1156644 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col0 (type: int), _col1 (type: decimal(35,20)), _col2 (type: decimal(35,20)) Execution mode: vectorized Reducer 14 Reduce Operator Tree: Extract Statistics: Num rows: 5073 Data size: 1156644 Basic stats: COMPLETE Column stats: COMPLETE PTF Operator Statistics: Num rows: 5073 Data size: 1156644 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: 0 (type: int), _col2 (type: decimal(35,20)) sort order: ++ Map-reduce partition columns: 0 (type: int) Statistics: Num rows: 5073 Data size: 1156644 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _wcol0 (type: int), _col0 (type: int), _col1 (type: decimal(35,20)), _col2 (type: decimal(35,20)) Reducer 15 Reduce Operator Tree: Extract PTF Operator Filter Operator predicate: ((_col0 <= 10) or (_wcol1 <= 10)) (type: boolean) Select Operator expressions: 'catalog' (type: string), _col1 (type: int), _col2 (type: decimal(35,20)), _col0 (type: int), _wcol1 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Select Operator expressions: _col0 (type: string), _col1 (type: int), _col2 (type: decimal(35,20)), _col3 (type: int), _col4 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 File Output Operator compressed: false table: input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe Reducer 17 Reduce Operator Tree: Merge Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {VALUE._col0} {VALUE._col1} 1 {KEY.reducesinkkey1} {VALUE._col0} {VALUE._col1} outputColumnNames: _col2, _col3, _col4, _col6, _col7 Statistics: Num rows: 5092708834 Data size: 61112506008 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col4 (type: int), COALESCE(_col2,0) (type: int), COALESCE(_col6,0) (type: int), COALESCE(_col3,0) (type: float), COALESCE(_col7,0) (type: float) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 5092708834 Data size: 61112506008 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator aggregations: sum(_col1), sum(_col2), sum(_col3), sum(_col4) keys: _col0 (type: int) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 2194632 Data size: 79006752 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: int) sort order: + Map-reduce partition columns: _col0 (type: int) Statistics: Num rows: 2194632 Data size: 79006752 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: double), _col4 (type: double) Reducer 18 Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3) keys: KEY._col0 (type: int) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 3586 Data size: 129096 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int), (CAST( _col1 AS decimal(15,4)) / CAST( _col2 AS decimal(15,4))) (type: decimal(35,20)), (CAST( _col3 AS decimal(15,4)) / CAST( _col4 AS decimal(15,4))) (type: decimal(35,20)) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 3586 Data size: 817608 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: 0 (type: int), _col1 (type: decimal(35,20)) sort order: ++ Map-reduce partition columns: 0 (type: int) Statistics: Num rows: 3586 Data size: 817608 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col0 (type: int), _col1 (type: decimal(35,20)), _col2 (type: decimal(35,20)) Execution mode: vectorized Reducer 19 Reduce Operator Tree: Extract Statistics: Num rows: 3586 Data size: 817608 Basic stats: COMPLETE Column stats: COMPLETE PTF Operator Statistics: Num rows: 3586 Data size: 817608 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: 0 (type: int), _col2 (type: decimal(35,20)) sort order: ++ Map-reduce partition columns: 0 (type: int) Statistics: Num rows: 3586 Data size: 817608 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _wcol0 (type: int), _col0 (type: int), _col1 (type: decimal(35,20)), _col2 (type: decimal(35,20)) Reducer 20 Reduce Operator Tree: Extract Statistics: Num rows: 3586 Data size: 817608 Basic stats: COMPLETE Column stats: COMPLETE PTF Operator Statistics: Num rows: 3586 Data size: 817608 Basic stats: COMPLETE Column stats: COMPLETE Filter Operator predicate: ((_col0 <= 10) or (_wcol1 <= 10)) (type: boolean) Statistics: Num rows: 2390 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE Select Operator expressions: 'store' (type: string), _col1 (type: int), _col2 (type: decimal(35,20)), _col0 (type: int), _wcol1 (type: int), 1 (type: int), 4 (type: int), 5 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 Statistics: Num rows: 2390 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE Reduce Output Operator key expressions: _col5 (type: int), _col6 (type: int), _col7 (type: int) sort order: +++ Statistics: Num rows: 2390 Data size: 0 Basic stats: PARTIAL Column stats: COMPLETE TopN Hash Memory Usage: 0.04 value expressions: _col0 (type: string), _col1 (type: int), _col2 (type: decimal(35,20)), _col3 (type: int), _col4 (type: int) Reducer 21 Reduce Operator Tree: Select Operator expressions: VALUE._col0 (type: string), VALUE._col1 (type: int), VALUE._col2 (type: decimal(35,20)), VALUE._col3 (type: int), VALUE._col4 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Limit Number of rows: 100 Select Operator expressions: _col0 (type: string), _col1 (type: int), _col2 (type: decimal(35,20)), _col3 (type: int), _col4 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Select Operator expressions: _col0 (type: string), _col1 (type: int), _col2 (type: decimal(35,20)), _col3 (type: int), _col4 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 File Output Operator compressed: false table: input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe Execution mode: vectorized Reducer 4 Reduce Operator Tree: Merge Join Operator condition map: Inner Join 0 to 1 condition expressions: 0 {VALUE._col0} {VALUE._col1} 1 {KEY.reducesinkkey1} {VALUE._col0} {VALUE._col1} outputColumnNames: _col2, _col3, _col4, _col6, _col7 Statistics: Num rows: 375616827 Data size: 4507401924 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col4 (type: int), COALESCE(_col2,0) (type: int), COALESCE(_col6,0) (type: int), COALESCE(_col3,0) (type: float), COALESCE(_col7,0) (type: float) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 375616827 Data size: 4507401924 Basic stats: COMPLETE Column stats: COMPLETE Group By Operator aggregations: sum(_col1), sum(_col2), sum(_col3), sum(_col4) keys: _col0 (type: int) mode: hash outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 232622 Data size: 8374392 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: _col0 (type: int) sort order: + Map-reduce partition columns: _col0 (type: int) Statistics: Num rows: 232622 Data size: 8374392 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col1 (type: bigint), _col2 (type: bigint), _col3 (type: double), _col4 (type: double) Reducer 5 Reduce Operator Tree: Group By Operator aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3) keys: KEY._col0 (type: int) mode: mergepartial outputColumnNames: _col0, _col1, _col2, _col3, _col4 Statistics: Num rows: 5057 Data size: 182052 Basic stats: COMPLETE Column stats: COMPLETE Select Operator expressions: _col0 (type: int), (CAST( _col1 AS decimal(15,4)) / CAST( _col2 AS decimal(15,4))) (type: decimal(35,20)), (CAST( _col3 AS decimal(15,4)) / CAST( _col4 AS decimal(15,4))) (type: decimal(35,20)) outputColumnNames: _col0, _col1, _col2 Statistics: Num rows: 5057 Data size: 1152996 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: 0 (type: int), _col1 (type: decimal(35,20)) sort order: ++ Map-reduce partition columns: 0 (type: int) Statistics: Num rows: 5057 Data size: 1152996 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _col0 (type: int), _col1 (type: decimal(35,20)), _col2 (type: decimal(35,20)) Execution mode: vectorized Reducer 6 Reduce Operator Tree: Extract Statistics: Num rows: 5057 Data size: 1152996 Basic stats: COMPLETE Column stats: COMPLETE PTF Operator Statistics: Num rows: 5057 Data size: 1152996 Basic stats: COMPLETE Column stats: COMPLETE Reduce Output Operator key expressions: 0 (type: int), _col2 (type: decimal(35,20)) sort order: ++ Map-reduce partition columns: 0 (type: int) Statistics: Num rows: 5057 Data size: 1152996 Basic stats: COMPLETE Column stats: COMPLETE value expressions: _wcol0 (type: int), _col0 (type: int), _col1 (type: decimal(35,20)), _col2 (type: decimal(35,20)) Reducer 7 Reduce Operator Tree: Extract PTF Operator Filter Operator predicate: ((_col0 <= 10) or (_wcol1 <= 10)) (type: boolean) Select Operator expressions: 'web' (type: string), _col1 (type: int), _col2 (type: decimal(35,20)), _col0 (type: int), _wcol1 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 Select Operator expressions: _col0 (type: string), _col1 (type: int), _col2 (type: decimal(35,20)), _col3 (type: int), _col4 (type: int) outputColumnNames: _col0, _col1, _col2, _col3, _col4 File Output Operator compressed: false table: input format: org.apache.hadoop.mapred.TextInputFormat output format: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe Union 8 Vertex: Union 8 Stage: Stage-0 Fetch Operator limit: -1 Processor Tree: ListSink {code} Results {code} OK web 55255 0.37373737373737373737 1072 1 web 305651 0.38383838383838383838 1138 2 web 336757 0.38461538461538461538 1142 3 web 256885 0.39 1191 4 web 229082 0.39175257731958762887 1204 5 web 151723 0.4 1265 6 web 293861 0.4 1265 6 web 178178 0.4 1265 8 web 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