GitHub user dtolpin opened a pull request:
https://github.com/apache/spark/pull/9888
[SPARK-11904] [PySpark] reduceByKeyAndWindow does not require checkpointing
when invFunc is None
when invFunc is None, `reduceByKeyAndWindow(func, None, winsize,
slidesize)` is equivalent to
reduceByKey(func).window(winsize, slidesize).reduceByKey(winsize,
slidesize)
and no checkpoint is necessary. The corresponding Scala code does exactly
that, but Python code always creates a windowed stream with obligatory
checkpointing. The patch fixes this.
I do not know how to unit-test this.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/dtolpin/spark master
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/9888.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 #9888
----
commit 6730f72d2d9aa2c535abc9719e589369cc7b4cdb
Author: David Tolpin <[email protected]>
Date: 2015-11-21T23:22:31Z
invFunc=None does not require checkpointing
reduceByKeyAndWindow(func, None, window_size, slide_size) is equivalent to
reduceByKey(func).window(window_size, slide_size).reduceByKey(func) and should
not require checkpointing.
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