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https://issues.apache.org/jira/browse/BEAM-115?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kenneth Knowles updated BEAM-115:
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Component/s: (was: runner-core)
beam-model-runner-api
> Beam Runner API
> ---------------
>
> Key: BEAM-115
> URL: https://issues.apache.org/jira/browse/BEAM-115
> Project: Beam
> Issue Type: Improvement
> Components: beam-model-runner-api
> 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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