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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-3554) handle large dataset in closure of PySpark
Date Tue, 16 Sep 2014 21:21:33 GMT

    [ 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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