GitHub user dtolpin opened a pull request:
https://github.com/apache/spark/pull/9887
[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/9887.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 #9887
----
commit 3f777e10abc68fc0c389c8bf55ad56c7c33ea095
Author: David Tolpin <[email protected]>
Date: 2015-11-17T20:37:21Z
invFunc=none work properly with python's reduceByKeyAndWindow
commit e76be0123aca50f055595fb6acb64b7defa981cf
Author: David Tolpin <[email protected]>
Date: 2015-11-19T11:44:12Z
added unit test for reduceByKeyAndWindow with invFunc=None
commit ba8baa9814fd104b107341037a2c1f6b33df0c16
Author: David Tolpin <[email protected]>
Date: 2015-11-21T22:49:21Z
reduceByKeyAndWindow with invFunc=None does require checkpointing
commit d54b880cc96462d418b2155db733881750d31365
Author: David Tolpin <[email protected]>
Date: 2015-11-21T22:50:50Z
merged with upstream
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