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https://issues.apache.org/jira/browse/HIVE-21385?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16785199#comment-16785199
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Hive QA commented on HIVE-21385:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12961190/HIVE-21385.01.patch

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

{color:red}ERROR:{color} -1 due to 1 failed/errored test(s), 15818 tests 
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.ql.exec.tez.TestDynamicPartitionPruner.testSingleSourceMultipleFiltersOrdering1
 (batchId=319)
{noformat}

Test results: 
https://builds.apache.org/job/PreCommit-HIVE-Build/16353/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/16353/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-16353/

Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 1 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12961190 - PreCommit-HIVE-Build

> Allow disabling pushdown of non-splittable computation to JDBC sources
> ----------------------------------------------------------------------
>
>                 Key: HIVE-21385
>                 URL: https://issues.apache.org/jira/browse/HIVE-21385
>             Project: Hive
>          Issue Type: Improvement
>          Components: CBO, StorageHandler
>            Reporter: Jesus Camacho Rodriguez
>            Assignee: Jesus Camacho Rodriguez
>            Priority: Major
>         Attachments: HIVE-21385.01.patch, HIVE-21385.patch
>
>
> Until pushdown is cost-based decision, we will be able to enable / disable 
> pushdown of operators that prevent reading results from the JDBC connection 
> in parallel.



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