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https://issues.apache.org/jira/browse/HIVE-9774?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15105074#comment-15105074
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Hive QA commented on HIVE-9774:
-------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12782820/HIVE-9774.1-spark.patch
{color:red}ERROR:{color} -1 due to no test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 9866 tests executed
*Failed tests:*
{noformat}
TestHWISessionManager - did not produce a TEST-*.xml file
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver_mapjoin_memcheck
org.apache.hadoop.hive.cli.TestNegativeCliDriver.testNegativeCliDriver_authorization_uri_import
org.apache.hadoop.hive.metastore.TestHiveMetaStorePartitionSpecs.testGetPartitionSpecs_WithAndWithoutPartitionGrouping
org.apache.hive.jdbc.TestSSL.testSSLVersion
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/1033/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/1033/console
Test logs:
http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-1033/
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: 5 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12782820 - PreCommit-HIVE-SPARK-Build
> Print yarn application id to console [Spark Branch]
> ---------------------------------------------------
>
> Key: HIVE-9774
> URL: https://issues.apache.org/jira/browse/HIVE-9774
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Brock Noland
> Assignee: Rui Li
> Attachments: HIVE-9774.1-spark.patch
>
>
> Oozie would like to use beeline to capture the yarn application id of apps so
> that if a workflow is canceled, the job can be cancelled. When running under
> MR we print the job id but under spark we do not.
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