[ 
https://issues.apache.org/jira/browse/HIVE-7985?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14180893#comment-14180893
 ] 

Hive QA commented on HIVE-7985:
-------------------------------



{color:red}Overall{color}: -1 at least one tests failed

Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12676432/HIVE-7985.2.patch

{color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 6576 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_annotate_stats_join_pkfk
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_udaf_histogram_numeric
org.apache.hive.minikdc.TestJdbcWithMiniKdc.testNegativeTokenAuth
{noformat}

Test results: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/1402/testReport
Console output: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/1402/console
Test logs: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-1402/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 3 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12676432 - PreCommit-HIVE-TRUNK-Build

> With CBO enabled cross product is generated when a subquery is present
> ----------------------------------------------------------------------
>
>                 Key: HIVE-7985
>                 URL: https://issues.apache.org/jira/browse/HIVE-7985
>             Project: Hive
>          Issue Type: Bug
>          Components: CBO
>    Affects Versions: 0.14.0
>            Reporter: Mostafa Mokhtar
>            Assignee: Laljo John Pullokkaran
>            Priority: Critical
>             Fix For: 0.14.0
>
>         Attachments: HIVE-7985.1.patch, HIVE-7985.2.patch, HIVE-7985.patch
>
>
> This is a regression introduced in the latest build of the CBO branch.
> Removing the subquery for item will remove the cross products
> Query
> {code}
> select i_item_id,sum(ss_ext_sales_price) total_sales from store_sales, 
> date_dim, item where item.i_item_id in (select i.i_item_id from item i where 
> i_color in ('purple','burlywood','indian')) and ss_item_sk = i_item_sk and 
> ss_sold_date_sk = d_date_sk and d_year = 2001 and d_moy = 1 group by 
> i_item_id;
> {code}
> {code}
> Warning: Map Join MAPJOIN[38][bigTable=?] in task 'Map 1' is a cross product
> Warning: Map Join MAPJOIN[39][bigTable=store_sales] in task 'Map 4' is a 
> cross product
> OK
> STAGE DEPENDENCIES:
>   Stage-1 is a root stage
>   Stage-0 depends on stages: Stage-1
> STAGE PLANS:
>   Stage: Stage-1
>     Tez
>       Edges:
>         Map 1 <- Map 3 (BROADCAST_EDGE)
>         Map 4 <- Map 1 (BROADCAST_EDGE), Map 2 (BROADCAST_EDGE)
>         Reducer 5 <- Map 4 (SIMPLE_EDGE)
>       DagName: mmokhtar_20140904141313_9c253f7e-aad1-4ca4-9be1-ea45e3d34496:1
>       Vertices:
>         Map 1
>             Map Operator Tree:
>                 TableScan
>                   alias: item
>                   filterExpr: (true and i_item_id is not null) (type: boolean)
>                   Statistics: Num rows: 462000 Data size: 663862160 Basic 
> stats: COMPLETE Column stats: NONE
>                   Filter Operator
>                     predicate: i_item_id is not null (type: boolean)
>                     Statistics: Num rows: 231000 Data size: 331931080 Basic 
> stats: COMPLETE Column stats: NONE
>                     Map Join Operator
>                       condition map:
>                            Inner Join 0 to 1
>                       condition expressions:
>                         0 {i_item_sk} {i_item_id}
>                         1 {d_date_sk}
>                       keys:
>                         0
>                         1
>                       outputColumnNames: _col0, _col1, _col25
>                       input vertices:
>                         1 Map 3
>                       Statistics: Num rows: 254100 Data size: 365124192 Basic 
> stats: COMPLETE Column stats: NONE
>                       Select Operator
>                         expressions: _col0 (type: int), _col1 (type: string), 
> _col25 (type: int)
>                         outputColumnNames: _col0, _col1, _col25
>                         Statistics: Num rows: 254100 Data size: 365124192 
> Basic stats: COMPLETE Column stats: NONE
>                         Reduce Output Operator
>                           sort order:
>                           Statistics: Num rows: 254100 Data size: 365124192 
> Basic stats: COMPLETE Column stats: NONE
>                           value expressions: _col0 (type: int), _col1 (type: 
> string), _col25 (type: int)
>             Execution mode: vectorized
>         Map 2
>             Map Operator Tree:
>                 TableScan
>                   alias: i
>                   filterExpr: ((i_color) IN ('purple', 'burlywood', 'indian') 
> and i_item_id is not null) (type: boolean)
>                   Statistics: Num rows: 462000 Data size: 663862160 Basic 
> stats: COMPLETE Column stats: NONE
>                   Filter Operator
>                     predicate: ((i_color) IN ('purple', 'burlywood', 
> 'indian') and i_item_id is not null) (type: boolean)
>                     Statistics: Num rows: 115500 Data size: 165965540 Basic 
> stats: COMPLETE Column stats: NONE
>                     Select Operator
>                       expressions: i_item_id (type: string)
>                       outputColumnNames: _col0
>                       Statistics: Num rows: 115500 Data size: 165965540 Basic 
> stats: COMPLETE Column stats: NONE
>                       Group By Operator
>                         keys: _col0 (type: string)
>                         mode: hash
>                         outputColumnNames: _col0
>                         Statistics: Num rows: 115500 Data size: 165965540 
> 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: 165965540 
> Basic stats: COMPLETE Column stats: NONE
>             Execution mode: vectorized
>         Map 3
>             Map Operator Tree:
>                 TableScan
>                   alias: date_dim
>                   filterExpr: ((d_year = 2001) and (d_moy = 1)) (type: 
> boolean)
>                   Statistics: Num rows: 73049 Data size: 81741831 Basic 
> stats: COMPLETE Column stats: NONE
>                   Filter Operator
>                     predicate: ((d_year = 2001) and (d_moy = 1)) (type: 
> boolean)
>                     Statistics: Num rows: 18262 Data size: 20435178 Basic 
> stats: COMPLETE Column stats: NONE
>                     Reduce Output Operator
>                       sort order:
>                       Statistics: Num rows: 18262 Data size: 20435178 Basic 
> stats: COMPLETE Column stats: NONE
>                       value expressions: d_date_sk (type: int)
>             Execution mode: vectorized
>         Map 4
>             Map Operator Tree:
>                 TableScan
>                   alias: store_sales
>                   Statistics: Num rows: 82510879939 Data size: 7203833257964 
> Basic stats: COMPLETE Column stats: NONE
>                   Map Join Operator
>                     condition map:
>                          Inner Join 0 to 1
>                     condition expressions:
>                       0 {ss_sold_date_sk} {ss_item_sk} {ss_ext_sales_price}
>                       1 {_col0} {_col1} {_col25}
>                     keys:
>                       0
>                       1
>                     outputColumnNames: _col0, _col2, _col15, _col27, _col28, 
> _col52
>                     input vertices:
>                       1 Map 1
>                     Statistics: Num rows: 90761969664 Data size: 
> 7924217282560 Basic stats: COMPLETE Column stats: NONE
>                     Filter Operator
>                       predicate: ((_col2 = _col27) and (_col0 = _col52)) 
> (type: boolean)
>                       Statistics: Num rows: 22690492416 Data size: 
> 1981054320640 Basic stats: COMPLETE Column stats: NONE
>                       Select Operator
>                         expressions: _col15 (type: float), _col28 (type: 
> string)
>                         outputColumnNames: _col15, _col59
>                         Statistics: Num rows: 22690492416 Data size: 
> 1981054320640 Basic stats: COMPLETE Column stats: NONE
>                         Map Join Operator
>                           condition map:
>                                Left Semi Join 0 to 1
>                           condition expressions:
>                             0 {_col15} {_col59}
>                             1
>                           keys:
>                             0 _col59 (type: string)
>                             1 _col0 (type: string)
>                           outputColumnNames: _col15, _col59
>                           input vertices:
>                             1 Map 2
>                           Statistics: Num rows: 24959541248 Data size: 
> 2179159818240 Basic stats: COMPLETE Column stats: NONE
>                           Select Operator
>                             expressions: _col59 (type: string), _col15 (type: 
> float)
>                             outputColumnNames: _col0, _col1
>                             Statistics: Num rows: 24959541248 Data size: 
> 2179159818240 Basic stats: COMPLETE Column stats: NONE
>                             Group By Operator
>                               aggregations: sum(_col1)
>                               keys: _col0 (type: string)
>                               mode: hash
>                               outputColumnNames: _col0, _col1
>                               Statistics: Num rows: 24959541248 Data size: 
> 2179159818240 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: 24959541248 Data size: 
> 2179159818240 Basic stats: COMPLETE Column stats: NONE
>                                 value expressions: _col1 (type: double)
>             Execution mode: vectorized
>         Reducer 5
>             Reduce Operator Tree:
>               Group By Operator
>                 aggregations: sum(VALUE._col0)
>                 keys: KEY._col0 (type: string)
>                 mode: mergepartial
>                 outputColumnNames: _col0, _col1
>                 Statistics: Num rows: 12479770624 Data size: 1089579909120 
> Basic stats: COMPLETE Column stats: NONE
>                 Select Operator
>                   expressions: _col0 (type: string), _col1 (type: double)
>                   outputColumnNames: _col0, _col1
>                   Statistics: Num rows: 12479770624 Data size: 1089579909120 
> Basic stats: COMPLETE Column stats: NONE
>                   File Output Operator
>                     compressed: false
>                     Statistics: Num rows: 12479770624 Data size: 
> 1089579909120 Basic stats: COMPLETE Column stats: NONE
>                     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
>   Stage: Stage-0
>     Fetch Operator
>       limit: -1
>       Processor Tree:
>         ListSink
> {code}
> No cross product generated for this query
> {code}
>  select i_item_id,sum(ss_ext_sales_price) total_sales
>  from
>         store_sales,
>         date_dim,
>          item
> where i_color in ('purple','burlywood','indian')
>  and     ss_item_sk              = i_item_sk
>  and     ss_sold_date_sk         = d_date_sk
>  and     d_year                  = 2001
>  and     d_moy                   = 1
>  group by i_item_id;
> {code}



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