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https://issues.apache.org/jira/browse/YARN-3273?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14350035#comment-14350035
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Rohith commented on YARN-3273:
------------------------------
There are 4 metrics are displayed.
# Application current headroom : this is the headroom being sent to application
master in heartbeat. Once the application is over, this value displayed as 0.
# Used Application Master Resource : fetched from queueUsage. If the 1st
application AM itself has greater than Max AM Resources then the application is
submitted with higher resource only. This is current behaviour. Because of this
if user is submitted with higher resource(1st app) then the User AM Resource
display higher value than Max AM resource.
# Used Application Master Resource per user : fetched from UserInfo. Display
list of active users used resources per queue level
# Max Resources Per User : This is calculated with the calculation below.
{code}
public synchronized Resource getUserResourceLimit() {
return Resources.multiplyAndNormalizeUp(resourceCalculator,
absoluteCapacityResource, (userLimit / 100.0f) * userLimitFactor,
minimumAllocation);
}
{code}
Kindly review the patch
> Improve web UI to facilitate scheduling analysis and debugging
> --------------------------------------------------------------
>
> Key: YARN-3273
> URL: https://issues.apache.org/jira/browse/YARN-3273
> Project: Hadoop YARN
> Issue Type: Improvement
> Reporter: Jian He
> Assignee: Rohith
> Attachments: 0001-YARN-3273-v1.patch,
> YARN-3273-am-resource-used-AND-User-limit.PNG,
> YARN-3273-application-headroom.PNG
>
>
> Job may be stuck for reasons such as:
> - hitting queue capacity
> - hitting user-limit,
> - hitting AM-resource-percentage
> The first queueCapacity is already shown on the UI.
> We may surface things like:
> - what is user's current usage and user-limit;
> - what is the AM resource usage and limit;
> - what is the application's current HeadRoom;
>
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