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From tgroh <>
Subject [GitHub] incubator-beam pull request: [BEAM-22] Support Unbounded PCollecti...
Date Mon, 29 Feb 2016 19:05:06 GMT
GitHub user tgroh opened a pull request:

    [BEAM-22] Support Unbounded PCollections in same-process execution

    This completes the implementation of the InProcessPipelineRunner, which is capable of
running over unbounded inputs.
    Existing Unit Tests built on the DirectPipelineRunner all pass, with the exception of
ParDoTest, which has a gap in immutability and encodability testing. This change does not
migrate existing unit tests to run on the InProcessPipelineRunner.

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

    $ git pull in_process_pipeline_runner

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 #3
commit aa49f92aec9fe89e9c6ffd0c972219e283685387
Author: Thomas Groh <>
Date:   2016-02-27T01:28:37Z

    Implement InProcessEvaluationContext
    This is the primary "global state" object for the evaluation of a
    Pipeline using the InProcessPipelineRunner, and is responsible for
    properly routing information about the state of the pipeline to
    transform evaluators.
    Remove the InProcessEvaluationContext from the InProcessPipelineRunner
    class, and implement as a class directly. Fix associated imports.

commit 54fe0ff31c1f94248b9a59612482f83529edf81f
Author: Thomas Groh <>
Date:   2016-02-27T01:29:43Z

    Add ExecutorServiceParallelExecutor as an InProcessExecutor
    This is responsible for scheduling transform evaluations and
    communicating results back to the evaluation context. The executor
    handle PTransforms that block arbitarily waiting for additional input.

commit 5feea5b79903c85baf8677351ad65557efb523f3
Author: Thomas Groh <>
Date:   2016-02-27T01:30:13Z

    Implement InProcessPipelineRunner#run
    Appropriately construct an evaluation context and executor, and start
    the pipeline when run is called.
    Implement runner-provided ExecutionContext and StepContext abstractions.


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