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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/14 06:24:14 UTC

[jira] [Commented] (SPARK-9021) Have pyspark's RDD.aggregate() make a deepcopy of zeroValue for each partition

    [ https://issues.apache.org/jira/browse/SPARK-9021?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14625789#comment-14625789 ] 

Apache Spark commented on SPARK-9021:
-------------------------------------

User 'njhwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/7378

> Have pyspark's RDD.aggregate() make a deepcopy of zeroValue for each partition
> ------------------------------------------------------------------------------
>
>                 Key: SPARK-9021
>                 URL: https://issues.apache.org/jira/browse/SPARK-9021
>             Project: Spark
>          Issue Type: Bug
>          Components: PySpark
>    Affects Versions: 1.4.0
>         Environment: Ubuntu 14.04 LTS
>            Reporter: Nicholas Hwang
>
> Please see pull request for more information.
> I initially "patched" this arguably unexpected behavior by serializing zeroValue, but ended up mimicking the deepcopy approach used by other RDD methods. I also contemplated having fold/aggregate accept "zero value generator functions" instead of an actual object, but that obviously changes the API.
> Looking forward to hearing back and/or being educated on how I'm inappropriately using this functionality (relatively new to Spark and functional programming). Thanks!



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