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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:14:01 UTC

[jira] [Resolved] (SPARK-9103) Tracking spark's memory usage

     [ https://issues.apache.org/jira/browse/SPARK-9103?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-9103.
---------------------------------
    Resolution: Incomplete

> Tracking spark's memory usage
> -----------------------------
>
>                 Key: SPARK-9103
>                 URL: https://issues.apache.org/jira/browse/SPARK-9103
>             Project: Spark
>          Issue Type: Umbrella
>          Components: Spark Core, Web UI
>            Reporter: Zhang, Liye
>            Priority: Major
>              Labels: bulk-closed
>         Attachments: Tracking Spark Memory Usage - Phase 1.pdf
>
>
> Currently spark only provides little memory usage information (RDD cache on webUI) for the executors. User have no idea on what is the memory consumption when they are running spark applications with a lot of memory used in spark executors. Especially when they encounter the OOM, it’s really hard to know what is the cause of the problem. So it would be helpful to give out the detail memory consumption information for each part of spark, so that user can clearly have a picture of where the memory is exactly used. 
> The memory usage info to expose should include but not limited to shuffle, cache, network, serializer, etc.
> User can optionally choose to open this functionality since this is mainly for debugging and tuning.



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