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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2014/09/16 23:21:33 UTC
[jira] [Commented] (SPARK-3554) handle large dataset in closure of
PySpark
[ https://issues.apache.org/jira/browse/SPARK-3554?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14136250#comment-14136250 ]
Apache Spark commented on SPARK-3554:
-------------------------------------
User 'davies' has created a pull request for this issue:
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
>
> 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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