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Posted to commits@beam.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2017/05/25 20:52:04 UTC

[jira] [Commented] (BEAM-2365) Use highest protocol for pickle coder.

    [ https://issues.apache.org/jira/browse/BEAM-2365?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16025376#comment-16025376 ] 

ASF GitHub Bot commented on BEAM-2365:
--------------------------------------

GitHub user robertwb opened a pull request:

    https://github.com/apache/beam/pull/3226

    [BEAM-2365] Use the highest pickle protocol available.

    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`.
     - [ ] 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](https://www.apache.org/licenses/icla.pdf).
    
    ---


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

    $ git pull https://github.com/robertwb/incubator-beam pickle

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

    https://github.com/apache/beam/pull/3226.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 #3226
    
----
commit a2a5353f348c3c42ccf7b560a8c8dee42e21f035
Author: Robert Bradshaw <ro...@gmail.com>
Date:   2017-05-25T20:49:48Z

    [BEAM-2365] Use the highest pickle protocol available.

----


> Use highest protocol for pickle coder.
> --------------------------------------
>
>                 Key: BEAM-2365
>                 URL: https://issues.apache.org/jira/browse/BEAM-2365
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py
>            Reporter: Robert Bradshaw
>            Assignee: Robert Bradshaw
>
> E.g. for large NumPy arrays, this is a 3x reduction in size and a 61x reduction in cpu. 
> Note that dill already does this (but the FastPrimitivesCoder intentionally uses cPickle instead). 



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