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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Commented] (BEAM-15) Applying windowing to cached RDDs fails
Date Sun, 28 Aug 2016 14:04:21 GMT


ASF GitHub Bot commented on BEAM-15:

GitHub user staslev opened a pull request:

    [BEAM-15] Fixed StorageLevel inconsistency between DStream and RDD

    Be sure to do all of the following to help us incorporate your contribution
    quickly and easily:
     - [ ] Make sure the PR title is formatted like:
       `[BEAM-<Jira issue #>] Description of pull request`
     - [ ] Make sure tests pass via `mvn clean verify`. (Even better, enable
           Travis-CI on your fork and ensure the whole test matrix passes).
     - [ ] Replace `<Jira issue #>` in the title with the actual Jira issue
           number, if there is one.
     - [ ] If this contribution is large, please file an Apache
           [Individual Contributor License Agreement](
    R: @amitsela 

You can merge this pull request into a Git repository by running:

    $ git pull BEAM-15-fix-incompatible-StorageLevel

Alternatively you can review and apply these changes as the patch at:

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #901
commit ddbba4348f21dd6868a53014b882d5b85781790e
Author: Stas Levin <>
Date:   2016-08-28T13:09:42Z

    Fixed StorageLevel inconsistency between DStream and RDD persist methods.


> Applying windowing to cached RDDs fails
> ---------------------------------------
>                 Key: BEAM-15
>                 URL:
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-spark
>            Reporter: Amit Sela
>            Assignee: Amit Sela
> The Spark runner caches RDDs that are accessed more than once. If applying window operations
to a cached RDD, it will fail because windowed RDDs will try to cache with a different cache
level - windowing cache level is StorageLevel.MEMORY_ONLY_SER and RDD cache level is StorageLevel.MEMORY_ONLY.

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