[jira] [Comment Edited] (SPARK-1823) ExternalAppendOnlyMap can still OOM if one key is very large

["Josh Rosen (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-1823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14148208#comment-14148208 ] 

Josh Rosen edited comment on SPARK-1823 at 9/25/14 7:42 PM:
------------------------------------------------------------

SPARK-3074 is a related issue for large group-bys PySpark.


was (Author: joshrosen):
SPARK-3074 is a related issue for PySpark.

> ExternalAppendOnlyMap can still OOM if one key is very large
> ------------------------------------------------------------
>
>                 Key: SPARK-1823
>                 URL: https://issues.apache.org/jira/browse/SPARK-1823
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 1.0.2, 1.1.0
>            Reporter: Andrew Or
>
> If the values for one key do not collectively fit into memory, then the map will still OOM when you merge the spilled contents back in.
> This is a problem especially for PySpark, since we hash the keys (Python objects) before a shuffle, and there are only so many integers out there in the world, so there could potentially be many collisions.



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