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Posted to issues@spark.apache.org by "Josh Rosen (JIRA)" <ji...@apache.org> on 2014/09/19 03:12:33 UTC
[jira] [Resolved] (SPARK-3554) handle large dataset in closure of
PySpark
[ https://issues.apache.org/jira/browse/SPARK-3554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Josh Rosen resolved SPARK-3554.
-------------------------------
Resolution: Fixed
Fix Version/s: 1.2.0
Issue resolved by pull request 2417
[https://github.com/apache/spark/pull/2417]
> handle large dataset in closure of PySpark
> ------------------------------------------
>
> Key: SPARK-3554
> URL: https://issues.apache.org/jira/browse/SPARK-3554
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Reporter: Davies Liu
> Assignee: Davies Liu
> Fix For: 1.2.0
>
>
> Sometimes there are large dataset used in closure and user forget to use broadcast for it, then the serialized command will become huge.
> py4j can not handle large objects efficiently, we should compress the serialized command and user broadcast for it if it's huge.
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