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Posted to issues@spark.apache.org by "Josh Rosen (JIRA)" <ji...@apache.org> on 2015/01/15 20:41:34 UTC
[jira] [Resolved] (SPARK-5224) parallelize list/ndarray is really
slow
[ https://issues.apache.org/jira/browse/SPARK-5224?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Josh Rosen resolved SPARK-5224.
-------------------------------
Resolution: Fixed
Fix Version/s: 1.2.1
1.3.0
Issue resolved by pull request 4024
[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
> Fix For: 1.3.0, 1.2.1
>
>
> 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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