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https://issues.apache.org/jira/browse/HIVE-15104?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16017527#comment-16017527
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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/12868935/HIVE-15104.3.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 3 failed/errored test(s), 10738 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[explainanalyze_3]
(batchId=97)
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[explainuser_3]
(batchId=97)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query24]
(batchId=231)
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/5349/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/5349/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-5349/
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: 3 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12868935 - 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-15104.2.patch,
> HIVE-15104.3.patch
>
>
> 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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