[ 
https://issues.apache.org/jira/browse/HIVE-11297?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16032558#comment-16032558
 ] 

Hive QA commented on HIVE-11297:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12870495/HIVE-11297.1.patch

{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.

{color:red}ERROR:{color} -1 due to 4 failed/errored test(s), 10813 tests 
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestAccumuloCliDriver.testCliDriver[accumulo_queries]
 (batchId=228)
org.apache.hadoop.hive.cli.TestBeeLineDriver.testCliDriver[insert_overwrite_local_directory_1]
 (batchId=237)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query14] 
(batchId=232)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query23] 
(batchId=232)
{noformat}

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/5495/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/5495/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-5495/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
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: 4 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12870495 - PreCommit-HIVE-Build

> Combine op trees for partition info generating tasks [Spark branch]
> -------------------------------------------------------------------
>
>                 Key: HIVE-11297
>                 URL: https://issues.apache.org/jira/browse/HIVE-11297
>             Project: Hive
>          Issue Type: Bug
>    Affects Versions: spark-branch
>            Reporter: Chao Sun
>            Assignee: liyunzhang_intel
>         Attachments: HIVE-11297.1.patch
>
>
> Currently, for dynamic partition pruning in Spark, if a small table generates 
> partition info for more than one partition columns, multiple operator trees 
> are created, which all start from the same table scan op, but have different 
> spark partition pruning sinks.
> As an optimization, we can combine these op trees and so don't have to do 
> table scan multiple times.



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