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https://issues.apache.org/jira/browse/YARN-5140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Oleksandr Kalinin updated YARN-5140:
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Summary: NM usercache fill up with burst of jobs leading to rapid temp IO
FS fill up and potentially NM outage (was: NM usercache fill up with burst of
jobs leads to NM outage)
> NM usercache fill up with burst of jobs leading to rapid temp IO FS fill up
> and potentially NM outage
> -----------------------------------------------------------------------------------------------------
>
> Key: YARN-5140
> URL: https://issues.apache.org/jira/browse/YARN-5140
> Project: Hadoop YARN
> Issue Type: Bug
> Components: nodemanager
> Affects Versions: 2.7.0
> Environment: Linux RHEL 6.7, Hadoop 2.7.0
> Reporter: Oleksandr Kalinin
>
> A burst or rapid rate of submitted jobs with substantial NM usercache
> resource localization footprint may lead to rapid fill up of the NM local
> temporary IO FS (/tmp by default) with negative consequences in terms of
> stability.
> The core issue seems to be the fact that NM continues to localize the
> resources beyond the maximum local cache size
> (yarn.nodemanager.localizer.cache.target-size-mb , default 10G). Since
> maximum local cache size is effectively not taken into account when
> localizing new resources (note that default cache cleanup interval is 10 min
> controlled by yarn.nodemanager.localizer.cache.cleanup.interval-ms), this
> basically leads to sort of self-destruction scenario : once /tmp FS
> utilization reaches the threshold of 90%, NM will automatically de-register
> from RM, effectively leading to NM outage.
> This issue may offline many NMs simultaneously at the same time and thus is
> quite critical in terms of platform stability.
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