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https://issues.apache.org/jira/browse/SPARK-1823?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14323768#comment-14323768
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Mingyu Kim commented on SPARK-1823:
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[~andrewor14], is anyone working on this actively? SPARK-3074 seems to have a
reasonable fix for pyspark. Would this be simply a matter of writing a similar
patch for Scala code?
> 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
> Components: Spark Core
> 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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