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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (BEAM-1467) Use well-known coder types for known window coders
Date Sat, 11 Feb 2017 17:45:42 GMT

    [ https://issues.apache.org/jira/browse/BEAM-1467?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15862465#comment-15862465
] 

ASF GitHub Bot commented on BEAM-1467:
--------------------------------------

GitHub user dhalperi opened a pull request:

    https://github.com/apache/beam/pull/1984

    [BEAM-1467] Add cross-SDK implementations and tests of IntervalWindowCoder

    - Implement an `IntervalWindowCoder` for Python SDK and test it
    - Add test data for `IntervalWindow` to `standard_coders.yaml` and test both SDKs
    - Add utilities to Java SDK's `CommonCoderTest` to enable more easy generation of test
data in future.

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

    $ git pull https://github.com/dhalperi/beam interval-window-coder

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

    https://github.com/apache/beam/pull/1984.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 #1984
    
----
commit 5ba5a95ce440a4a5babf3ae02df07ac32c7207ad
Author: Dan Halperin <dhalperi@google.com>
Date:   2017-02-10T19:56:00Z

    Add cross-SDK implementations and tests of IntervalWindowCoder

----


> Use well-known coder types for known window coders
> --------------------------------------------------
>
>                 Key: BEAM-1467
>                 URL: https://issues.apache.org/jira/browse/BEAM-1467
>             Project: Beam
>          Issue Type: Improvement
>          Components: beam-model-fn-api, beam-model-runner-api
>            Reporter: Daniel Halperin
>            Assignee: Daniel Halperin
>            Priority: Minor
>
> Known window types include:
> * GlobalWindow
> * IntervalWindow
> Standardizing the name and encodings of these windows will enable many more pipelines
to work across the Fn API with low overhead.



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