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https://issues.apache.org/jira/browse/HIVE-16799?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16033897#comment-16033897
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Hive QA commented on HIVE-16799:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12870847/HIVE-16799.1.patch
{color:green}SUCCESS:{color} +1 due to 1 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 4 failed/errored test(s), 10814 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[cte_mat_4] (batchId=6)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query14]
(batchId=232)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query23]
(batchId=232)
org.apache.hive.beeline.TestBeeLineWithArgs.testQueryProgressParallel
(batchId=220)
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/5502/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/5502/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-5502/
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: 4 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12870847 - PreCommit-HIVE-Build
> Control the max number of task for a stage in a spark job
> ---------------------------------------------------------
>
> Key: HIVE-16799
> URL: https://issues.apache.org/jira/browse/HIVE-16799
> Project: Hive
> Issue Type: Improvement
> Reporter: Xuefu Zhang
> Assignee: Xuefu Zhang
> Attachments: HIVE-16799.1.patch, HIVE-16799.patch
>
>
> HIVE-16552 gives admin an option to control the maximum number of tasks a
> Spark job may have. However, this may not be sufficient as this tends to
> penalize jobs that have many stages while favoring jobs that has fewer
> stages. Ideally, we should also limit the number of tasks in a stage, which
> is closer to the maximum number of mappers or reducers in a MR job.
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