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https://issues.apache.org/jira/browse/BEAM-1865?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15961645#comment-15961645
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ASF GitHub Bot commented on BEAM-1865:
--------------------------------------

GitHub user vikkyrk opened a pull request:

    https://github.com/apache/beam/pull/2470

    [BEAM-1865]: Fix GroupByKeyInputVisitor for Direct Runner

    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
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     - [ ] Replace `<Jira issue #>` in the title with the actual Jira issue
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    ---
    
    - Also handle `None` input types which is the case when 
`TypeOptions.pipeline_type_check` is disabled.

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

    $ git pull https://github.com/vikkyrk/incubator-beam py_gbk_type_check

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

    https://github.com/apache/beam/pull/2470.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 #2470
    
----
commit c7f1a44dc5259164f326bef23ff4620b4ffbcb77
Author: Vikas Kedigehalli <[email protected]>
Date:   2017-04-08T02:22:27Z

    Fix GroupByKeyInputVisitor for Direct Runner

----


> Input Coder of GroupByKey should be a KV Coder in the Python SDK
> ----------------------------------------------------------------
>
>                 Key: BEAM-1865
>                 URL: https://issues.apache.org/jira/browse/BEAM-1865
>             Project: Beam
>          Issue Type: Bug
>          Components: sdk-py
>            Reporter: Vikas Kedigehalli
>            Assignee: Vikas Kedigehalli
>
> `Any` type is consistent with `KV` in python. The coder for `Any` type is a 
> fallback coder or a `FastPrimitivesCoder`, but for a `GroupByKey` operation 
> this needs to be a `TupleCoder` to ensure that the generated pipeline 
> representation is runnable on a runner in a different language (in the Fn API 
> world)



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