GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/1912
[SPARK-1065] [PySpark] improve supporting for large broadcast
Passing large object by py4j is very slow (cost much memory), so pass
broadcast objects via files (similar to parallelize()).
Add an option to keep object in driver (it's False by default) to save
memory in driver.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/davies/spark broadcast
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/1912.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 #1912
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commit 62261891e7cfd89935676f77eddf2e2a66f7f9d2
Author: Davies Liu <davies....@gmail.com>
Date: 2014-08-13T00:25:55Z
improve large broadcast
Passing large object by py4j is very slow (cost much memory),
so pass broadcast objects via files (similar to parallelize()).
Add an option to keep object in driver (it's False by default)
to save memory in driver.
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