[ 
https://issues.apache.org/jira/browse/YARN-3633?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14551146#comment-14551146
 ] 

Hadoop QA commented on YARN-3633:
---------------------------------

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| (x) *{color:red}-1 overall{color}* |
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|| Vote || Subsystem || Runtime || Comment ||
| {color:blue}0{color} | pre-patch |  15m 17s | Pre-patch trunk compilation is 
healthy. |
| {color:green}+1{color} | @author |   0m  0s | The patch does not contain any 
@author tags. |
| {color:green}+1{color} | tests included |   0m  0s | The patch appears to 
include 1 new or modified test files. |
| {color:green}+1{color} | javac |   7m 48s | There were no new javac warning 
messages. |
| {color:green}+1{color} | javadoc |   9m 51s | There were no new javadoc 
warning messages. |
| {color:green}+1{color} | release audit |   0m 22s | The applied patch does 
not increase the total number of release audit warnings. |
| {color:red}-1{color} | checkstyle |   0m 47s | The applied patch generated  2 
new checkstyle issues (total was 120, now 120). |
| {color:green}+1{color} | whitespace |   0m  2s | The patch has no lines that 
end in whitespace. |
| {color:green}+1{color} | install |   1m 32s | mvn install still works. |
| {color:green}+1{color} | eclipse:eclipse |   0m 34s | The patch built with 
eclipse:eclipse. |
| {color:red}-1{color} | findbugs |   1m 19s | The patch appears to introduce 1 
new Findbugs (version 3.0.0) warnings. |
| {color:green}+1{color} | yarn tests |  50m 40s | Tests passed in 
hadoop-yarn-server-resourcemanager. |
| | |  88m 17s | |
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|| Reason || Tests ||
| FindBugs | module:hadoop-yarn-server-resourcemanager |
|  |  Inconsistent synchronization of 
org.apache.hadoop.yarn.server.resourcemanager.recovery.FileSystemRMStateStore.isHDFS;
 locked 66% of time  Unsynchronized access at FileSystemRMStateStore.java:66% 
of time  Unsynchronized access at FileSystemRMStateStore.java:[line 156] |
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|| Subsystem || Report/Notes ||
| Patch URL | 
http://issues.apache.org/jira/secure/attachment/12733912/YARN-3633-1.patch |
| Optional Tests | javadoc javac unit findbugs checkstyle |
| git revision | trunk / fd3cb53 |
| checkstyle |  
https://builds.apache.org/job/PreCommit-YARN-Build/8005/artifact/patchprocess/diffcheckstylehadoop-yarn-server-resourcemanager.txt
 |
| Findbugs warnings | 
https://builds.apache.org/job/PreCommit-YARN-Build/8005/artifact/patchprocess/newPatchFindbugsWarningshadoop-yarn-server-resourcemanager.html
 |
| hadoop-yarn-server-resourcemanager test log | 
https://builds.apache.org/job/PreCommit-YARN-Build/8005/artifact/patchprocess/testrun_hadoop-yarn-server-resourcemanager.txt
 |
| Test Results | 
https://builds.apache.org/job/PreCommit-YARN-Build/8005/testReport/ |
| Java | 1.7.0_55 |
| uname | Linux asf903.gq1.ygridcore.net 3.13.0-36-lowlatency #63-Ubuntu SMP 
PREEMPT Wed Sep 3 21:56:12 UTC 2014 x86_64 x86_64 x86_64 GNU/Linux |
| Console output | 
https://builds.apache.org/job/PreCommit-YARN-Build/8005/console |


This message was automatically generated.

> With Fair Scheduler, cluster can logjam when there are too many queues
> ----------------------------------------------------------------------
>
>                 Key: YARN-3633
>                 URL: https://issues.apache.org/jira/browse/YARN-3633
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: fairscheduler
>    Affects Versions: 2.6.0
>            Reporter: Rohit Agarwal
>            Assignee: Rohit Agarwal
>            Priority: Critical
>         Attachments: YARN-3633-1.patch, YARN-3633.patch
>
>
> It's possible to logjam a cluster by submitting many applications at once in 
> different queues.
> For example, let's say there is a cluster with 20GB of total memory. Let's 
> say 4 users submit applications at the same time. The fair share of each 
> queue is 5GB. Let's say that maxAMShare is 0.5. So, each queue has at most 
> 2.5GB memory for AMs. If all the users requested AMs of size 3GB - the 
> cluster logjams. Nothing gets scheduled even when 20GB of resources are 
> available.



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