[jira] [Updated] (SPARK-20150) Add permsize statistics for worker memory which may be very useful for the memory usage assessment

["Jinhua Fu (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-20150?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Jinhua Fu updated SPARK-20150:
------------------------------
    Summary: Add permsize statistics for worker memory which may be very useful for the memory usage assessment  (was: Can the spark add a mechanism for permsize statistics which may be very useful for the memory usage assessment)

> Add permsize statistics for worker memory which may be very useful for the memory usage assessment
> --------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-20150
>                 URL: https://issues.apache.org/jira/browse/SPARK-20150
>             Project: Spark
>          Issue Type: Wish
>          Components: Web UI
>    Affects Versions: 2.0.2
>            Reporter: Jinhua Fu
>
> It seems worker memory only be assigned to executor heap which is usually not enough for estimating the whole clauster memory usage,especially when memory becomes a bottleneck of the clauster.In many case,we found a executor's real memory usage was much larger than its heap size which make me have to check for every application's real memory expenditure.
> This can be improved by adding a mechanism for Non-Heap(permsize) statistics,only shown for extra memory usage which has no effect on the current worker memory allocation and statistics.The permsize can be obtained easily from executor java options.



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