GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/4024
[SPARK-5224] improve performance of parallelize list/ndarray
After the default batchSize changed to 0 (batched based on the size of
object), but parallelize() still use BatchedSerializer with batchSize=1, this
PR will use batchSize=1024 for parallelize by default.
Also, BatchedSerializer did not work well with list and numpy.ndarray, this
improve BatchedSerializer by using __len__ and __getslice__.
-------|--------|------------
| before | after
numpy.ndarray | 32s | 0.7s
-------|----|
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/davies/spark opt_numpy
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/4024.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 #4024
----
commit 7618c7c930b0a4bad5469523ba38d52b6eab4589
Author: Davies Liu <[email protected]>
Date: 2015-01-13T18:48:00Z
improve performance of parallelize list/ndarray
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