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https://issues.apache.org/jira/browse/YARN-2162?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ashwin Shankar updated YARN-2162:
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Description:
minResources and maxResources in fair scheduler configs are expressed in terms
of absolute numbers X mb, Y vcores.
As a result, when we expand or shrink our hadoop cluster, we need to
recalculate and change minResources/maxResources accordingly, which is pretty
inconvenient.
We can circumvent this problem if we can optionally configure these properties
in terms of percentage of cluster capacity.
was:
minResources and maxResources in fair scheduler configs are expressed in terms
of absolute numbers X mb, Y vcores.
As a result, when we expand or shrink our hadoop cluster, we need to
recalculate and change minResources/maxResources accordingly, which is pretty
inconvenient.
We can circumvent this problem if we can (optionally) configure these
properties in terms of percentage of cluster capacity.
> Fair Scheduler :ability to configure minResources and maxResources in terms
> of percentage
> -----------------------------------------------------------------------------------------
>
> Key: YARN-2162
> URL: https://issues.apache.org/jira/browse/YARN-2162
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: scheduler
> Reporter: Ashwin Shankar
> Labels: scheduler
>
> minResources and maxResources in fair scheduler configs are expressed in
> terms of absolute numbers X mb, Y vcores.
> As a result, when we expand or shrink our hadoop cluster, we need to
> recalculate and change minResources/maxResources accordingly, which is pretty
> inconvenient.
> We can circumvent this problem if we can optionally configure these
> properties in terms of percentage of cluster capacity.
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