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From "Andrew Or (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-1823) ExternalAppendOnlyMap can still OOM if one key is very large
Date Wed, 14 May 2014 01:44:15 GMT

     [ https://issues.apache.org/jira/browse/SPARK-1823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Andrew Or updated SPARK-1823:
-----------------------------

    Fix Version/s: 1.1.0

> 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: 1.0.0
>            Reporter: Andrew Or
>             Fix For: 1.1.0
>
>
> 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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