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From davies <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-3886] [PySpark] use AutoBatchedSerializ...
Date Thu, 09 Oct 2014 23:43:11 GMT
GitHub user davies opened a pull request:

    https://github.com/apache/spark/pull/2740

    [SPARK-3886] [PySpark] use AutoBatchedSerializer by default

    Use AutoBatchedSerializer by default, which will choose the proper batch size based on
size of serialized objects, let the size of serialized batch fall in into  [64k - 640k].
    
    In JVM, the serializer will also track the objects in batch to figure out duplicated objects,
larger batch may cause OOM in JVM. 

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/davies/spark batchsize

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/spark/pull/2740.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #2740
    
----
commit 185f2b9d8546333c4232fb06e01c022adf5c416c
Author: Davies Liu <davies.liu@gmail.com>
Date:   2014-10-09T23:38:38Z

    use AutoBatchedSerializer by default

----


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