[ 
https://issues.apache.org/jira/browse/HIVE-9376?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14279570#comment-14279570
 ] 

Hive QA commented on HIVE-9376:
-------------------------------



{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/12692298/HIVE-9376.1.patch

{color:red}ERROR:{color} -1 due to 2 failed/errored test(s), 7315 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.ql.TestMTQueries.testMTQueries1
org.apache.hive.hcatalog.streaming.TestStreaming.testEndpointConnection
{noformat}

Test results: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2381/testReport
Console output: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-TRUNK-Build/2381/console
Test logs: 
http://ec2-174-129-184-35.compute-1.amazonaws.com/logs/PreCommit-HIVE-TRUNK-Build-2381/

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: 2 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12692298 - PreCommit-HIVE-TRUNK-Build

> Add back some APIs which changed from 0.13 for Spark SQL
> --------------------------------------------------------
>
>                 Key: HIVE-9376
>                 URL: https://issues.apache.org/jira/browse/HIVE-9376
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: Brock Noland
>            Assignee: Brock Noland
>             Fix For: 0.15.0
>
>         Attachments: HIVE-9376.1.patch
>
>
> As [discussed on 
> HIVE-9364|https://issues.apache.org/jira/browse/HIVE-9364?focusedCommentId=14276100&page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel#comment-14276100]
>  some APIs were changed which broke SparkSQL. This change adds them back, 
> marks them as Deprecated, Unstable, and in-use by SparkSQL.



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