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https://issues.apache.org/jira/browse/YARN-611?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14105827#comment-14105827
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Xuan Gong commented on YARN-611:
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bq. the policies should be YARN services if they are starting things like 
Timers...it even allows the RM to start them as children and integrate with its 
shutdown.

AppRetryPolicy is specified for each application, so I do not make them as YARN 
services. But definitely remove the Timers, use daemon Thread instead.

bq. it's not a sliding window, just a fixed time period like "24 h". I don't 
see that as bad...it is nice to understand. Its just if we do have a 24 window, 
it would be nice to sync that with the real world day. A smaller window like 
hour is less of an issue, as when you start a cluster you will be at most 30 
minutes off an hour.

Good point. I did not make the change in this patch. But will make changes in 
next patch. Reset application retry count per day LGTM

> Add an AM retry count reset window to YARN RM
> ---------------------------------------------
>
>                 Key: YARN-611
>                 URL: https://issues.apache.org/jira/browse/YARN-611
>             Project: Hadoop YARN
>          Issue Type: Bug
>          Components: resourcemanager
>    Affects Versions: 2.0.3-alpha
>            Reporter: Chris Riccomini
>            Assignee: Xuan Gong
>         Attachments: YARN-611.1.patch, YARN-611.2.patch, YARN-611.3.patch, 
> YARN-611.4.patch, YARN-611.4.rebase.patch, YARN-611.5.patch
>
>
> YARN currently has the following config:
> yarn.resourcemanager.am.max-retries
> This config defaults to 2, and defines how many times to retry a "failed" AM 
> before failing the whole YARN job. YARN counts an AM as failed if the node 
> that it was running on dies (the NM will timeout, which counts as a failure 
> for the AM), or if the AM dies.
> This configuration is insufficient for long running (or infinitely running) 
> YARN jobs, since the machine (or NM) that the AM is running on will 
> eventually need to be restarted (or the machine/NM will fail). In such an 
> event, the AM has not done anything wrong, but this is counted as a "failure" 
> by the RM. Since the retry count for the AM is never reset, eventually, at 
> some point, the number of machine/NM failures will result in the AM failure 
> count going above the configured value for 
> yarn.resourcemanager.am.max-retries. Once this happens, the RM will mark the 
> job as failed, and shut it down. This behavior is not ideal.
> I propose that we add a second configuration:
> yarn.resourcemanager.am.retry-count-window-ms
> This configuration would define a window of time that would define when an AM 
> is "well behaved", and it's safe to reset its failure count back to zero. 
> Every time an AM fails the RmAppImpl would check the last time that the AM 
> failed. If the last failure was less than retry-count-window-ms ago, and the 
> new failure count is > max-retries, then the job should fail. If the AM has 
> never failed, the retry count is < max-retries, or if the last failure was 
> OUTSIDE the retry-count-window-ms, then the job should be restarted. 
> Additionally, if the last failure was outside the retry-count-window-ms, then 
> the failure count should be set back to 0.
> This would give developers a way to have well-behaved AMs run forever, while 
> still failing mis-behaving AMs after a short period of time.
> I think the work to be done here is to change the RmAppImpl to actually look 
> at app.attempts, and see if there have been more than max-retries failures in 
> the last retry-count-window-ms milliseconds. If there have, then the job 
> should fail, if not, then the job should go forward. Additionally, we might 
> also need to add an endTime in either RMAppAttemptImpl or 
> RMAppFailedAttemptEvent, so that the RmAppImpl can check the time of the 
> failure.
> Thoughts?



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