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https://issues.apache.org/jira/browse/YARN-4280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kuhu Shukla updated YARN-4280:
------------------------------
    Attachment: YARN-4280.007.patch

Thank you so much [~leftnoteasy] for the detailed review and offline 
explanation. I have rectified the patch for Point#1, which subtracts 
max(child.headroom,none()) from parentLimits if QUEUE_SKIPPED is received.

For point 2. I think it would still work as follows:

Given the queue configuration in the above example with all queues 
max-capacity=100%, when the first QUEUE_SKIPPED is received from a1 to a, the 
parent limit for a will be set to (50-2) since childlimits.getHeadroom will be 
2. Now when {{getResourceLimitsOfChild}} is called with parentLimits=48, the 
value of {{parentMaxAvailableResource}} will be zero and the childLimit for a2 
will be (0+24) which would inhibit a2 to go through with assignment request of 
1. 

Let me know your thoughts/concerns regarding this. Thanks a lot!


> CapacityScheduler reservations may not prevent indefinite postponement on a 
> busy cluster
> ----------------------------------------------------------------------------------------
>
>                 Key: YARN-4280
>                 URL: https://issues.apache.org/jira/browse/YARN-4280
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: capacity scheduler
>    Affects Versions: 2.6.1, 2.8.0, 2.7.1
>            Reporter: Kuhu Shukla
>            Assignee: Kuhu Shukla
>         Attachments: YARN-4280.001.patch, YARN-4280.002.patch, 
> YARN-4280.003.patch, YARN-4280.004.patch, YARN-4280.005.patch, 
> YARN-4280.006.patch, YARN-4280.007.patch
>
>
> Consider the following scenario:
> There are 2 queues A(25% of the total capacity) and B(75%), both can run at 
> total cluster capacity. There are 2 applications, appX that runs on Queue A, 
> always asking for 1G containers(non-AM) and appY runs on Queue B asking for 2 
> GB containers.
> The user limit is high enough for the application to reach 100% of the 
> cluster resource. 
> appX is running at total cluster capacity, full with 1G containers releasing 
> only one container at a time. appY comes in with a request of 2GB container 
> but only 1 GB is free. Ideally, since appY is in the underserved queue, it 
> has higher priority and should reserve for its 2 GB request. Since this 
> request puts the alloc+reserve above total capacity of the cluster, 
> reservation is not made. appX comes in with a 1GB request and since 1GB is 
> still available, the request is allocated. 
> This can continue indefinitely causing priority inversion.



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