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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Commented] (BEAM-551) Support Dynamic PipelineOptions
Date Wed, 07 Dec 2016 23:30:58 GMT


ASF GitHub Bot commented on BEAM-551:

GitHub user sammcveety opened a pull request:

    [BEAM-551] Fix handling of TextIO.Sink

    R: @dhalperi 
    Directory needs to be parameterized.

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

    $ git pull sgmc/text_io_write

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

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #1545
commit d017fde2d063765a73b290e1b1e1b849f147910f
Author: Sam McVeety <>
Date:   2016-12-07T21:27:53Z

    [BEAM-551] Fix handling of TextIO.Sink

commit 9309c9389d9e9fa2cae3f7378692d0484ddc54b2
Author: Sam McVeety <>
Date:   2016-12-07T22:09:41Z

    Fix test


> Support Dynamic PipelineOptions
> -------------------------------
>                 Key: BEAM-551
>                 URL:
>             Project: Beam
>          Issue Type: New Feature
>          Components: beam-model
>            Reporter: Sam McVeety
>            Assignee: Sam McVeety
>            Priority: Minor
> During the graph construction phase, the given SDK generates an initial
> execution graph for the program.  At execution time, this graph is
> executed, either locally or by a service.  Currently, Beam only supports
> parameterization at graph construction time.  Both Flink and Spark supply
> functionality that allows a pre-compiled job to be run without SDK
> interaction with updated runtime parameters.
> In its current incarnation, Dataflow can read values of PipelineOptions at
> job submission time, but this requires the presence of an SDK to properly
> encode these values into the job.  We would like to build a common layer
> into the Beam model so that these dynamic options can be properly provided
> to jobs.
> Please see
> for the high-level model, and
> for
> the specific API proposal.

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