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https://issues.apache.org/jira/browse/HIVE-15104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16217849#comment-16217849
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Hive QA commented on HIVE-15104:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12893666/HIVE-15104.10.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 5 failed/errored test(s), 11319 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[subquery_multi]
(batchId=110)
org.apache.hadoop.hive.cli.control.TestDanglingQOuts.checkDanglingQOut
(batchId=205)
org.apache.hadoop.hive.ql.parse.TestReplicationScenarios.testConstraints
(batchId=222)
org.apache.hadoop.hive.ql.parse.authorization.plugin.sqlstd.TestOperation2Privilege.checkHiveOperationTypeMatch
(batchId=270)
org.apache.hive.jdbc.TestTriggersWorkloadManager.testTriggerHighShuffleBytes
(batchId=229)
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/7456/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/7456/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-7456/
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: 12893666 - PreCommit-HIVE-Build
> Hive on Spark generate more shuffle data than hive on mr
> --------------------------------------------------------
>
> Key: HIVE-15104
> URL: https://issues.apache.org/jira/browse/HIVE-15104
> Project: Hive
> Issue Type: Bug
> Components: Spark
> Affects Versions: 1.2.1
> Reporter: wangwenli
> Assignee: Rui Li
> Attachments: HIVE-15104.1.patch, HIVE-15104.10.patch,
> HIVE-15104.2.patch, HIVE-15104.3.patch, HIVE-15104.4.patch,
> HIVE-15104.5.patch, HIVE-15104.6.patch, HIVE-15104.7.patch,
> HIVE-15104.8.patch, HIVE-15104.9.patch, TPC-H 100G.xlsx
>
>
> the same sql, running on spark and mr engine, will generate different size
> of shuffle data.
> i think it is because of hive on mr just serialize part of HiveKey, but hive
> on spark which using kryo will serialize full of Hivekey object.
> what is your opionion?
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