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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Commented] (BEAM-115) Beam Runner API
Date Fri, 29 Apr 2016 17:42:13 GMT


ASF GitHub Bot commented on BEAM-115:

GitHub user kennknowles opened a pull request:

    [BEAM-115] Make in-process GroupByKey consistent with Beam model

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    This is rebased onto #256.

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

    $ git pull InProcessGroupByKey

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 #268
commit 310f8c4477fbcc16815af69592158ea5df1a8d6d
Author: Kenneth Knowles <>
Date:   2016-04-27T22:01:48Z

    Move InProcessRunner to its own module

commit 89cfe6bf22dd5849d52237f0a9b3cd9d55e6ec11
Author: Kenneth Knowles <>
Date:   2016-04-28T22:51:40Z

    Add accessors for sub-coders of KeyedWorkItemCoder

commit 41568a8c3318ea4e15c68e2cf4d61e18c94867ce
Author: Kenneth Knowles <>
Date:   2016-04-28T23:12:21Z

    Make in-process GroupByKey respect future Beam model
    This introduces or clarifies the following transforms:
     - InProcessGroupByKey, which expands like GroupByKeyViaGroupByKeyOnly
       but with different intermediate PCollection types.
     - InProcessGroupByKeyOnly, which outputs KeyedWorkItem<K, V>. This existed
       already under a different name.
     - InProcessGroupAlsoByWindow, which is evaluated directly and
       accepts input elements of type KeyedWorkItem<K, V>.


> Beam Runner API
> ---------------
>                 Key: BEAM-115
>                 URL:
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-core
>            Reporter: Kenneth Knowles
>            Assignee: Kenneth Knowles
> The PipelineRunner API from the SDK is not ideal for the Beam technical vision.
> It has technical limitations:
>  - The user's DAG (even including library expansions) is never explicitly represented,
so it cannot be analyzed except incrementally, and cannot necessarily be reconstructed (for
example, to display it!).
>  - The flattened DAG of just primitive transforms isn't well-suited for display or transform
>  - The TransformHierarchy isn't well-suited for optimizations.
>  - The user must realistically pre-commit to a runner, and its configuration (batch vs
streaming) prior to graph construction, since the runner will be modifying the graph as it
is built.
>  - It is fairly language- and SDK-specific.
> It has usability issues (these are not from intuition, but derived from actual cases
of failure to use according to the design)
>  - The interleaving of apply() methods in PTransform/Pipeline/PipelineRunner is confusing.
>  - The TransformHierarchy, accessible only via visitor traversals, is cumbersome.
>  - The staging of construction-time vs run-time is not always obvious.
> These are just examples. This ticket tracks designing, coming to consensus, and building
an API that more simply and directly supports the technical vision.

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