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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (BEAM-3209) Update documentation on support for reading/writing BQ date partitioned tables
Date Fri, 17 Nov 2017 23:36:00 GMT

    [ https://issues.apache.org/jira/browse/BEAM-3209?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16257753#comment-16257753
] 

ASF GitHub Bot commented on BEAM-3209:
--------------------------------------

GitHub user chamikaramj opened a pull request:

    https://github.com/apache/beam/pull/4147

    [BEAM-3209] Clarify documentation on support for reading from/writing to time par…

    …titioned BQ tables.
    
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    ---


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

    $ git pull https://github.com/chamikaramj/beam clarify_time_partitioned_documentation

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

    https://github.com/apache/beam/pull/4147.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 #4147
    
----
commit 39dbcda6fd45240aa4d7c1c04438896a9a114b2c
Author: chamikara@google.com <chamikara@google.com>
Date:   2017-11-17T23:29:57Z

    Clarify documentation on support for reading from/writing to time partitioned BQ tables.

----


> Update documentation on support for reading/writing BQ date partitioned tables
> ------------------------------------------------------------------------------
>
>                 Key: BEAM-3209
>                 URL: https://issues.apache.org/jira/browse/BEAM-3209
>             Project: Beam
>          Issue Type: Improvement
>          Components: sdk-py-core
>            Reporter: Chamikara Jayalath
>            Assignee: Chamikara Jayalath
>
> Python BigQuery sink currently does not support writing date partitioned tables but Python
BQ I/O is expected to support reading from and writing to single partitions. We should clarify
the documentation (py docs) around this.



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