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https://issues.apache.org/jira/browse/BEAM-1294?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15871624#comment-15871624
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ASF GitHub Bot commented on BEAM-1294:
--------------------------------------

GitHub user aviemzur opened a pull request:

    https://github.com/apache/beam/pull/2033

    [BEAM-1294] Long running UnboundedSource Readers via Broadcasts

    Be sure to do all of the following to help us incorporate your contribution
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You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/aviemzur/beam unbounded-reader-cache

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

    https://github.com/apache/beam/pull/2033.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 #2033
    
----
commit 3813deeb439b4898876cde11ab7fb087f1d63500
Author: Aviem Zur <[email protected]>
Date:   2017-02-17T10:35:49Z

    [BEAM-1294] Long running UnboundedSource Readers via Broadcasts

----


> Long running UnboundedSource Readers via Broadcasts
> ---------------------------------------------------
>
>                 Key: BEAM-1294
>                 URL: https://issues.apache.org/jira/browse/BEAM-1294
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-spark
>            Reporter: Amit Sela
>            Assignee: Aviem Zur
>
> When reading from an UnboundedSource, current implementation will cause each 
> split to create a new Reader every micro-batch.
> As long as the overhead of creating a reader is relatively low, it's 
> reasonable (though I'd still be happy to get rid of), but in cases where the 
> creation overhead is large it becomes unreasonable forcing large batches.
> One way to solve this could be to create a pool of lazy-init readers to serve 
> each executor, maybe via Broadcast variables. 



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