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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Commented] (BEAM-551) Support Dynamic PipelineOptions
Date Sun, 20 Nov 2016 04:36:58 GMT


ASF GitHub Bot commented on BEAM-551:

GitHub user sammcveety reopened a pull request:

    [BEAM-551] PubsubIO with ValueProvider

    R: @davorbonaci  

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

    $ git pull sgmc/pubsub_new

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 #1230
commit e06fd8ce238971d1b235ce01f527f7cedb058127
Author: sammcveety <>
Date:   2016-10-20T16:29:04Z

    Add NestedValueProvider

commit 54af0b970701115ba3843d02f85cb25086101734
Author: Sam McVeety <>
Date:   2016-10-30T02:02:51Z

    Demonstrate PubsubIO with NVP

commit a3730dcf3c7072e11fe6340dd3b757bf64b18f52
Author: Sam McVeety <>
Date:   2016-10-30T03:47:42Z

    Fix null pointer issues

commit 4a2d2637a4c09049500b22231674536e4ae20706
Author: Sam McVeety <>
Date:   2016-11-01T20:42:11Z

    Merge branch 'master' into sgmc/pubsub_new

commit 6cb4822e18e1f6850e855b0f7ce2d9737cc73002
Author: Sam McVeety <>
Date:   2016-11-01T21:07:36Z

    Fix up tests

commit 57e52a23b46b76a3e45884c33c52a0331f0d4e8a
Author: Sam McVeety <>
Date:   2016-11-02T15:48:48Z

    Address comments.

commit a94526af16465be54a9792a41a5ead9162e7c3c7
Author: Sam McVeety <>
Date:   2016-11-03T22:26:06Z

    Address comments

commit a8811ace2cce6f685bb4875562355a8e664fa5bd
Author: Sam McVeety <>
Date:   2016-11-14T19:17:50Z

    Address builder comments


> 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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