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https://issues.apache.org/jira/browse/YARN-689?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13660779#comment-13660779
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Alejandro Abdelnur commented on YARN-689:
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The headroom needed to run a container, given all the typical dependencies, is
significant. Having the multiplier decoupled from the minimum allows a better
tuning of the cluster to maximize utilization/allocation.
As I was trying to exemplify in the description, take the current min default
is 1GB, MRAM (via YARNRunner) asks for 1.5GB as default, meaning you are
getting alway 2GB.
> Add multiplier unit to resourcecapabilities
> -------------------------------------------
>
> Key: YARN-689
> URL: https://issues.apache.org/jira/browse/YARN-689
> Project: Hadoop YARN
> Issue Type: Bug
> Components: api, scheduler
> Affects Versions: 2.0.4-alpha
> Reporter: Alejandro Abdelnur
> Assignee: Alejandro Abdelnur
> Attachments: YARN-689.patch
>
>
> Currently we overloading the minimum resource value as the actual multiplier
> used by the scheduler.
> Today with a minimum memory set to 1GB, requests for 1.5GB are always
> translated to allocation of 2GB.
> We should decouple the minimum allocation from the multiplier.
> The multiplier should also be exposed to the client via the
> RegisterApplicationMasterResponse
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