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Posted to yarn-issues@hadoop.apache.org by "Zac Zhou (JIRA)" <ji...@apache.org> on 2018/12/15 16:32:00 UTC

[jira] [Updated] (YARN-8489) Need to support "dominant" component concept inside YARN service

     [ https://issues.apache.org/jira/browse/YARN-8489?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Zac Zhou updated YARN-8489:
---------------------------
    Attachment: YARN-8489.002.patch

> Need to support "dominant" component concept inside YARN service
> ----------------------------------------------------------------
>
>                 Key: YARN-8489
>                 URL: https://issues.apache.org/jira/browse/YARN-8489
>             Project: Hadoop YARN
>          Issue Type: Task
>          Components: yarn-native-services
>            Reporter: Wangda Tan
>            Assignee: Zac Zhou
>            Priority: Major
>         Attachments: YARN-8489.001.patch, YARN-8489.002.patch
>
>
> Existing YARN service support termination policy for different restart policies. For example ALWAYS means service will not be terminated. And NEVER means if all component terminated, service will be terminated.
> The name "dominant" might not be most appropriate , we can figure out better names. But in simple, it means, a dominant component which final state will determine job's final state regardless of other components.
> Use cases: 
> 1) Tensorflow job has master/worker/services/tensorboard. Once master goes to final state, no matter if it is succeeded or failed, we should terminate ps/tensorboard/workers. And the mark the job to succeeded/failed. 
> 2) Not sure if it is a real-world use case: A service which has multiple component, some component is not restartable. For such services, if a component is failed, we should mark the whole service to failed. 



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