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Hadoop QA commented on MAPREDUCE-7274: -------------------------------------- | (x) *{color:red}-1 overall{color}* | \\ \\ || Vote || Subsystem || Runtime || Comment || | {color:blue}0{color} | {color:blue} reexec {color} | {color:blue} 0m 0s{color} | {color:blue} Docker mode activated. {color} | | {color:red}-1{color} | {color:red} patch {color} | {color:red} 0m 10s{color} | {color:red} MAPREDUCE-7274 does not apply to branch-3.2.0. Rebase required? Wrong Branch? See https://wiki.apache.org/hadoop/HowToContribute for help. {color} | \\ \\ || Subsystem || Report/Notes || | JIRA Issue | MAPREDUCE-7274 | | JIRA Patch URL | https://issues.apache.org/jira/secure/attachment/13000898/MAPREDUCE-7274-branch-3.2.0.patch | | Console output | https://builds.apache.org/job/PreCommit-MAPREDUCE-Build/7770/console | | versions | git=2.17.1 | | Powered by | Apache Yetus 0.12.0 https://yetus.apache.org | This message was automatically generated. > Enable to limit running map and reduce tasks when job is running > ---------------------------------------------------------------- > > Key: MAPREDUCE-7274 > URL: https://issues.apache.org/jira/browse/MAPREDUCE-7274 > Project: Hadoop Map/Reduce > Issue Type: New Feature > Components: mr-am, mrv2 > Affects Versions: 3.2.0 > Reporter: Chengwei Wang > Priority: Major > Attachments: MAPREDUCE-7274-branch-3.2.0.patch > > > MRv2 enabled users to control the number of map or reduce tasks running > simultaneously by configuration *_mapreduce.job.running.map.limit_* or > _*mapreduce.job.running.reduce.limit*._ But users can only set limit number > before submitting the job to rm. So, it's meaningful to enable users to set > the limit of running map or reduce tasks when job is running, which can help > users to restrict resource usage of job and give resources to high-priority > job. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: mapreduce-issues-unsubscr...@hadoop.apache.org For additional commands, e-mail: mapreduce-issues-h...@hadoop.apache.org