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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 05:35:26 UTC
[jira] [Updated] (SPARK-1823) ExternalAppendOnlyMap can still OOM
if one key is very large
[ https://issues.apache.org/jira/browse/SPARK-1823?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-1823:
--------------------------------
Labels: bulk-closed (was: )
> 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
> Priority: Major
> Labels: bulk-closed
>
> 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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