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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/01/13 19:34:34 UTC

[jira] [Commented] (SPARK-5223) Use pickle instead of MapConvert and ListConvert in MLlib Python API

    [ https://issues.apache.org/jira/browse/SPARK-5223?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14275671#comment-14275671 ] 

Apache Spark commented on SPARK-5223:
-------------------------------------

User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/4023

> Use pickle instead of MapConvert and ListConvert in MLlib Python API
> --------------------------------------------------------------------
>
>                 Key: SPARK-5223
>                 URL: https://issues.apache.org/jira/browse/SPARK-5223
>             Project: Spark
>          Issue Type: Bug
>          Components: MLlib, PySpark
>            Reporter: Davies Liu
>            Priority: Critical
>
> It will introduce problems if the object in dict/list/tuple can not support by py4j, such as Vector.
> Also, pickle may have better performance for larger object (less RPC).
> In some cases that the object in dict/list can not be pickled (such as JavaObject), we should still use MapConvert/ListConvert.



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