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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/01/13 20:01:34 UTC

[jira] [Commented] (SPARK-5224) parallelize list/ndarray is really slow

    [ https://issues.apache.org/jira/browse/SPARK-5224?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14275711#comment-14275711 ] 

Apache Spark commented on SPARK-5224:
-------------------------------------

User 'davies' has created a pull request for this issue:
https://github.com/apache/spark/pull/4024

> parallelize list/ndarray is really slow
> ---------------------------------------
>
>                 Key: SPARK-5224
>                 URL: https://issues.apache.org/jira/browse/SPARK-5224
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.2.0
>            Reporter: Davies Liu
>            Priority: Blocker
>
> After the default batchSize changed to 0 (batched based on the size of object), but parallelize() still use BatchedSerializer with batchSize=1.
> Also, BatchedSerializer did not work well with list and numpy.ndarray



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