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From "Oleksandr Kalinin (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (YARN-5140) NM usercache fill up with burst of jobs leading to rapid temp IO FS fill up and potentially NM outage
Date Sat, 30 Jul 2016 12:19:20 GMT

     [ https://issues.apache.org/jira/browse/YARN-5140?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Oleksandr Kalinin updated YARN-5140:
------------------------------------
    Priority: Minor  (was: Major)

> 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
>            Priority: Minor
>
> 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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