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https://issues.apache.org/jira/browse/YARN-2026?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14045275#comment-14045275
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Hadoop QA commented on YARN-2026:
---------------------------------

{color:red}-1 overall{color}.  Here are the results of testing the latest 
attachment 
  http://issues.apache.org/jira/secure/attachment/12652693/YARN-2026-v2.txt
  against trunk revision .

    {color:green}+1 @author{color}.  The patch does not contain any @author 
tags.

    {color:green}+1 tests included{color}.  The patch appears to include 1 new 
or modified test files.

    {color:green}+1 javac{color}.  The applied patch does not increase the 
total number of javac compiler warnings.

    {color:green}+1 javadoc{color}.  There were no new javadoc warning messages.

    {color:green}+1 eclipse:eclipse{color}.  The patch built with 
eclipse:eclipse.

    {color:green}+1 findbugs{color}.  The patch does not introduce any new 
Findbugs (version 1.3.9) warnings.

    {color:green}+1 release audit{color}.  The applied patch does not increase 
the total number of release audit warnings.

    {color:red}-1 core tests{color}.  The patch failed these unit tests in 
hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager:

                  
org.apache.hadoop.yarn.server.resourcemanager.webapp.TestRMWebServicesAppsModification
                  
org.apache.hadoop.yarn.server.resourcemanager.ahs.TestRMApplicationHistoryWriter
                  
org.apache.hadoop.yarn.server.resourcemanager.TestWorkPreservingRMRestart
                  
org.apache.hadoop.yarn.server.resourcemanager.applicationsmanager.TestAMRestart
                  
org.apache.hadoop.yarn.server.resourcemanager.TestSubmitApplicationWithRMHA

    {color:green}+1 contrib tests{color}.  The patch passed contrib unit tests.

Test results: 
https://builds.apache.org/job/PreCommit-YARN-Build/4099//testReport/
Console output: https://builds.apache.org/job/PreCommit-YARN-Build/4099//console

This message is automatically generated.

> Fair scheduler : Fair share for inactive queues causes unfair allocation in 
> some scenarios
> ------------------------------------------------------------------------------------------
>
>                 Key: YARN-2026
>                 URL: https://issues.apache.org/jira/browse/YARN-2026
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: scheduler
>            Reporter: Ashwin Shankar
>            Assignee: Ashwin Shankar
>              Labels: scheduler
>         Attachments: YARN-2026-v1.txt, YARN-2026-v2.txt
>
>
> Problem1- While using hierarchical queues in fair scheduler,there are few 
> scenarios where we have seen a leaf queue with least fair share can take 
> majority of the cluster and starve a sibling parent queue which has greater 
> weight/fair share and preemption doesn’t kick in to reclaim resources.
> The root cause seems to be that fair share of a parent queue is distributed 
> to all its children irrespective of whether its an active or an inactive(no 
> apps running) queue. Preemption based on fair share kicks in only if the 
> usage of a queue is less than 50% of its fair share and if it has demands 
> greater than that. When there are many queues under a parent queue(with high 
> fair share),the child queue’s fair share becomes really low. As a result when 
> only few of these child queues have apps running,they reach their *tiny* fair 
> share quickly and preemption doesn’t happen even if other leaf 
> queues(non-sibling) are hogging the cluster.
> This can be solved by dividing fair share of parent queue only to active 
> child queues.
> Here is an example describing the problem and proposed solution:
> root.lowPriorityQueue is a leaf queue with weight 2
> root.HighPriorityQueue is parent queue with weight 8
> root.HighPriorityQueue has 10 child leaf queues : 
> root.HighPriorityQueue.childQ(1..10)
> Above config,results in root.HighPriorityQueue having 80% fair share
> and each of its ten child queue would have 8% fair share. Preemption would 
> happen only if the child queue is <4% (0.5*8=4). 
> Lets say at the moment no apps are running in any of the 
> root.HighPriorityQueue.childQ(1..10) and few apps are running in 
> root.lowPriorityQueue which is taking up 95% of the cluster.
> Up till this point,the behavior of FS is correct.
> Now,lets say root.HighPriorityQueue.childQ1 got a big job which requires 30% 
> of the cluster. It would get only the available 5% in the cluster and 
> preemption wouldn't kick in since its above 4%(half fair share).This is bad 
> considering childQ1 is under a highPriority parent queue which has *80% fair 
> share*.
> Until root.lowPriorityQueue starts relinquishing containers,we would see the 
> following allocation on the scheduler page:
> *root.lowPriorityQueue = 95%*
> *root.HighPriorityQueue.childQ1=5%*
> This can be solved by distributing a parent’s fair share only to active 
> queues.
> So in the example above,since childQ1 is the only active queue
> under root.HighPriorityQueue, it would get all its parent’s fair share i.e. 
> 80%.
> This would cause preemption to reclaim the 30% needed by childQ1 from 
> root.lowPriorityQueue after fairSharePreemptionTimeout seconds.
> Problem2 - Also note that similar situation can happen between 
> root.HighPriorityQueue.childQ1 and root.HighPriorityQueue.childQ2,if childQ2 
> hogs the cluster. childQ2 can take up 95% cluster and childQ1 would be stuck 
> at 5%,until childQ2 starts relinquishing containers. We would like each of 
> childQ1 and childQ2 to get half of root.HighPriorityQueue  fair share ie 
> 40%,which would ensure childQ1 gets upto 40% resource if needed through 
> preemption.



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