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https://issues.apache.org/jira/browse/BEAM-2390?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16106801#comment-16106801
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ASF GitHub Bot commented on BEAM-2390:
--------------------------------------

GitHub user reuvenlax opened a pull request:

    https://github.com/apache/beam/pull/3663

    [BEAM-2390] Add support for TimePartitioning in BigQueryIO

    TimePartitioning is made part of TableDestination, so dynamic tables can 
have different partitioning parameters.


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

    $ git pull https://github.com/reuvenlax/incubator-beam time_partitioning

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

    https://github.com/apache/beam/pull/3663.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 #3663
    
----
commit b8d88bc78ae28bc60fe4254adae1e3b09d7eacb1
Author: Reuven Lax <[email protected]>
Date:   2017-07-31T04:42:59Z

    Add support for TimePartitioning in streaming.

----


> allow user to use .setTimePartitioning in BigQueryIO.write
> ----------------------------------------------------------
>
>                 Key: BEAM-2390
>                 URL: https://issues.apache.org/jira/browse/BEAM-2390
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-java-gcp
>    Affects Versions: 2.0.0
>            Reporter: Eric Johston
>            Assignee: Eric Johston
>              Labels: easyfix, features, newbie
>             Fix For: 2.2.0
>
>   Original Estimate: 2h
>  Remaining Estimate: 2h
>
> Currently when writing to a table with BigQueryIO sink, there is no way to 
> create a new table that is date partitioned. This would be very useful, since 
> currently the only way to do this is  by manually creating a table ahead of 
> time. We should be able to leverage the automatic table creation 
> functionality for date partitioned tables.
> The best way to do this would be to have a withTimePartitioning method in the 
> BigQueryIO class.



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