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https://issues.apache.org/jira/browse/SPARK-1343?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Davies Liu resolved SPARK-1343.
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Resolution: Fixed
Fix Version/s: 0.9.0
1.0.0
Target Version/s: 1.1.0
> PySpark OOMs without caching
> ----------------------------
>
> Key: SPARK-1343
> URL: https://issues.apache.org/jira/browse/SPARK-1343
> Project: Spark
> Issue Type: Bug
> Components: PySpark
> Affects Versions: 0.9.0
> Reporter: Matei Zaharia
> Assignee: Davies Liu
> Fix For: 1.0.0, 0.9.0
>
>
> There have been several reports on the list of PySpark 0.9 OOMing even if it
> does simple maps and counts, whereas 0.9 didn't. This may be due to either
> the batching added to serialization, or due to invalid serialized data which
> makes the Java side allocate an overly large array. Needs investigating for
> 1.0.
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