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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Commented] (BEAM-551) Support Dynamic PipelineOptions
Date Wed, 30 Nov 2016 00:57:59 GMT


ASF GitHub Bot commented on BEAM-551:

GitHub user sammcveety opened a pull request:

    [BEAM-551] Changes to BigQuery validation to support dynamic values

    R: @dhalperi 

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

    $ git pull sgmc/bqstream

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 #1459
commit e8d5e82748bfa1c2801cd06291c73f7d12799cc8
Author: Sam McVeety <>
Date:   2016-11-30T00:55:48Z

    Fix tests


> Support Dynamic PipelineOptions
> -------------------------------
>                 Key: BEAM-551
>                 URL:
>             Project: Beam
>          Issue Type: New Feature
>          Components: beam-model
>            Reporter: Sam McVeety
>            Assignee: Frances Perry
>            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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