hadoop-yarn-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "zhihai xu (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-3415) Non-AM containers can be counted towards amResourceUsage of a fairscheduler queue
Date Sun, 29 Mar 2015 23:06:53 GMT

    [ https://issues.apache.org/jira/browse/YARN-3415?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14386003#comment-14386003

zhihai xu commented on YARN-3415:

I uploaded a patch YARN-3415.000.patch for review.
The patch fixed two bugs and did 4 minor code optimizations.
bugs fixed:
1. Checking whether the AM is running before call addAMResourceUsage.
We should only addAMResourceUsage when AM is not running.
Without this fix, the test will fail because queue AmResourceUsage is changed by non-AM container.
2. Don’t check non-AM container for queue MaxAMShare limitation.
Without this fix, the test will fail because non-AM container allocation is rejected due to
MaxAMShare limitation.

code optimizations:
1. remove redundant check for getLiveContainers().size() when addAMResourceUsage in FSAppAttempt.
2. remove redundant check for getLiveContainers().size() when check queue MaxAMShare(canRunAppAM)
in FSAppAttempt.
3. remove redundant check for app.getAMResource() in FSLeafQueue#removeApp.
I didn’t check app.getUnmanagedAM() here, instead I add comments: AmRunning is set to true
only when getUnmanagedAM() is false.
But checking app.getUnmanagedAM() is also ok for me.
4. check application.isAmRunning() instead of application.getLiveContainers().isEmpty() in
Because application.getLiveContainers() will consume much more CPU power than application.isAmRunning().
FairScheduler#allocate is a function which will be called very frequently.

> 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]

This message was sent by Atlassian JIRA

View raw message