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Posted to yarn-issues@hadoop.apache.org by "Ruslan Dautkhanov (JIRA)" <ji...@apache.org> on 2018/05/11 16:16:00 UTC
[jira] [Commented] (YARN-6567) Flexible Workload Management
[ https://issues.apache.org/jira/browse/YARN-6567?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16472194#comment-16472194 ]
Ruslan Dautkhanov commented on YARN-6567:
-----------------------------------------
That would be great to have something like this
> Flexible Workload Management
> ----------------------------
>
> Key: YARN-6567
> URL: https://issues.apache.org/jira/browse/YARN-6567
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: scheduler
> Reporter: Ajai Omtri
> Priority: Minor
> Labels: features
>
> Yarn workload management can be little more dynamic.
> 1. Create yarn pool by specifying more than one Secondary AD group.
> Scenario:
> In a multi-tenant cluster there can be hundreds of AD groups per tenant and hundreds of users per AD group. We want a way to group like workloads into single yarn pool by specifying multiple secondary AD Groups.
> Ex: All the ETL workloads of tenants needs to go into one yarn pool. This requires addition of all ETL related AD groups into one yarn pool.
> 2. Demotions
> Scenario: A particular workload/job has been started in a high priority yarn pool based on the assumption that it would finish quickly but due to some data issue/change in the code/query etc. - now it is running longer and consuming high amounts of resources for long time. In this case we want to demote this to a lower resource allocated yarn pool. We don’t want this one run-away workload/job to dominate the cluster because our assumption was wrong.
> Ex: If any workload in the yarn pool runs for X minutes and/or consumes Y resources either alert me or push to another yarn pool. User can keep demoting and can push to a yarn pool which has capped resources - like Penalty box.
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