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From "Ahmed Hussein (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (YARN-9597) Memory efficiency in speculator
Date Mon, 03 Jun 2019 23:42:00 GMT

    [ https://issues.apache.org/jira/browse/YARN-9597?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16855155#comment-16855155
] 

Ahmed Hussein commented on YARN-9597:
-------------------------------------

By looking at previous Jira reports, it is clear that "memory leakage" is a persistent bug.

My concern is how many Hadoop modules have hidden bloating data structures? If this is a
common issue, would it be useful to investigate test-cases/tools to detect memory leaks in
Hadoop?

[~stevel@apache.org] are you aware of ongoing efforts in that direction?

> Memory efficiency in speculator 
> --------------------------------
>
>                 Key: YARN-9597
>                 URL: https://issues.apache.org/jira/browse/YARN-9597
>             Project: Hadoop YARN
>          Issue Type: Improvement
>            Reporter: Ahmed Hussein
>            Priority: Minor
>
> The data structures in speculator and runtime-estimator are bloating. Data elements such
as (taskID, TA-ID, task stats, tasks speculated, tasks finished..etc) are added to the concurrent
maps but never removed.
> For long running jobs, there are couple of issues:
>  # memory leakage: the speculator memory usage increases over time. 
>  # performance: keeping large structures in the heap affects the performance due to
locality and cache misses.
> *Suggested Fixes:*
> - When a TA transitions to {{MoveContainerToSucceededFinishingTransition}}, the TA notifies
the speculator. The latter handles the event by cleaning the internal structure accordingly.
> - When a task transitions is failed/killed, the speculator is notified to clean the internal
data structure.
>  



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