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
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commit 185f2b9d8546333c4232fb06e01c022adf5c416c
Author: Davies Liu <[email protected]>
Date: 2014-10-09T23:38:38Z
use AutoBatchedSerializer by default
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