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https://issues.apache.org/jira/browse/YARN-3415?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14386042#comment-14386042
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Hadoop QA commented on YARN-3415:
---------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12708063/YARN-3415.000.patch
against trunk revision 3d9132d.
{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 2.0.3) 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.TestRMHA
org.apache.hadoop.yarn.server.resourcemanager.TestRMAdminService
org.apache.hadoop.yarn.server.resourcemanager.webapp.TestRMWebappAuthentication
org.apache.hadoop.yarn.server.resourcemanager.TestMoveApplication
org.apache.hadoop.yarn.server.resourcemanager.recovery.TestZKRMStateStore
Test results:
https://builds.apache.org/job/PreCommit-YARN-Build/7143//testReport/
Console output: https://builds.apache.org/job/PreCommit-YARN-Build/7143//console
This message is automatically generated.
> Non-AM containers can be counted towards amResourceUsage of a fairscheduler
> queue
> ---------------------------------------------------------------------------------
>
> Key: YARN-3415
> URL: https://issues.apache.org/jira/browse/YARN-3415
> Project: Hadoop YARN
> Issue Type: Bug
> Components: fairscheduler
> Affects Versions: 2.6.0
> Reporter: Rohit Agarwal
> Assignee: zhihai xu
> Priority: Critical
> Attachments: YARN-3415.000.patch
>
>
> We encountered this problem while running a spark cluster. The
> amResourceUsage for a queue became artificially high and then the cluster got
> deadlocked because the maxAMShare constrain kicked in and no new AM got
> admitted to the cluster.
> I have described the problem in detail here:
> https://github.com/apache/spark/pull/5233#issuecomment-87160289
> In summary - the condition for adding the container's memory towards
> amResourceUsage is fragile. It depends on the number of live containers
> belonging to the app. We saw that the spark AM went down without explicitly
> releasing its requested containers and then one of those containers memory
> was counted towards amResource.
> cc - [~sandyr]
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