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From "Richard Chen (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-2172) Suspend/Resume Hadoop Jobs
Date Wed, 30 Jul 2014 02:45:38 GMT

     [ https://issues.apache.org/jira/browse/YARN-2172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel

Richard Chen updated YARN-2172:

    Attachment: hadoop_job_suspend_resume.patch

Hadoop Job Suspend and Resume svn patch file

> Suspend/Resume Hadoop Jobs
> --------------------------
>                 Key: YARN-2172
>                 URL: https://issues.apache.org/jira/browse/YARN-2172
>             Project: Hadoop YARN
>          Issue Type: New Feature
>          Components: resourcemanager, webapp
>    Affects Versions: 2.2.0
>         Environment: CentOS 6.5, Hadoop 2.2.0
>            Reporter: Richard Chen
>              Labels: hadoop, jobs, resume, suspend
>             Fix For: 2.2.0
>         Attachments: Hadoop Job Suspend Resume Design.docx, hadoop_job_suspend_resume.patch
>   Original Estimate: 336h
>  Remaining Estimate: 336h
> In a multi-application cluster environment, jobs running inside Hadoop YARN may be of
lower-priority than jobs running outside Hadoop YARN like HBase. To give way to other higher-priority
jobs inside Hadoop, a user or some cluster-level resource scheduling service should be able
to suspend and/or resume some particular jobs within Hadoop YARN.
> When target jobs inside Hadoop are suspended, those already allocated and running task
containers will continue to run until their completion or active preemption by other ways.
But no more new containers would be allocated to the target jobs. In contrast, when suspended
jobs are put into resume mode, they will continue to run from the previous job progress and
have new task containers allocated to complete the rest of the jobs.
> My team has completed its implementation and our tests showed it works in a rather solid

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