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https://issues.apache.org/jira/browse/BEAM-115?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15263240#comment-15263240
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ASF GitHub Bot commented on BEAM-115:
-------------------------------------
GitHub user kennknowles opened a pull request:
https://github.com/apache/incubator-beam/pull/262
[BEAM-115] Make in-process GroupByKey consistent with Beam model
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---
The commits in this PR stand individual but have strong dependencies. They
each build towards making the `InProcessPipelineRunner` correspond to the
intended runner API / Beam model.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/kennknowles/incubator-beam InProcessGroupByKey
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/incubator-beam/pull/262.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #262
----
commit 6f3eeb4fada9fa72763980f26af8949141dbbe51
Author: Kenneth Knowles <k...@google.com>
Date: 2016-04-28T22:50:32Z
Add WindowMatchers.isWindowedValue(<value matcher>)
commit 34ec15d6a5923287f4db0db63083c37b87c030b7
Author: Kenneth Knowles <k...@google.com>
Date: 2016-04-28T22:51:40Z
Add accessors for sub-coders of KeyedWorkItemCoder
commit 91643088f4032898cf67973b032d86a528eca199
Author: Kenneth Knowles <k...@google.com>
Date: 2016-04-28T23:12:21Z
Encapsulate cloning behavior of in-process ParDo evaluator
This will make way for using the evluator in contexts where cloning
is not appropriate, such as evaluator GroupAlsoByWindow
commit 753787ff0eb10c524f336e9af837ed442f005121
Author: Kenneth Knowles <k...@google.com>
Date: 2016-04-28T23:13:24Z
Make in-process GroupByKey respect future Beam model
This introduces top-level classes:
- 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: https://issues.apache.org/jira/browse/BEAM-115
> 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 override.
> - 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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