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https://issues.apache.org/jira/browse/HIVE-9428?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14287036#comment-14287036
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Hive QA commented on HIVE-9428:
-------------------------------
{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/12693800/HIVE-9428.2-spark.patch
{color:red}ERROR:{color} -1 due to 4 failed/errored test(s), 7351 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestEncryptedHDFSCliDriver.testCliDriver_encryption_join_with_different_encryption_keys
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver_optimize_nullscan
org.apache.hive.hcatalog.streaming.TestStreaming.testRemainingTransactions
org.apache.hive.hcatalog.streaming.TestStreaming.testTransactionBatchCommit_Json
{noformat}
Test results:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/665/testReport
Console output:
http://ec2-174-129-184-35.compute-1.amazonaws.com/jenkins/job/PreCommit-HIVE-SPARK-Build/665/console
Test logs:
http://ec2-50-18-27-0.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-SPARK-Build-665/
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: 4 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12693800 - PreCommit-HIVE-SPARK-Build
> LocalSparkJobStatus may return failed job as successful [Spark Branch]
> ----------------------------------------------------------------------
>
> Key: HIVE-9428
> URL: https://issues.apache.org/jira/browse/HIVE-9428
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Rui Li
> Assignee: Rui Li
> Priority: Minor
> Attachments: HIVE-9428.1-spark.patch, HIVE-9428.2-spark.patch
>
>
> Future is done doesn't necessarily mean the job is successful. We should rely
> on SparkJobInfo to get job status whenever it's available.
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