[Python] Deprecate --enable_streaming_engine flag since it is always enabled.#35917
[Python] Deprecate --enable_streaming_engine flag since it is always enabled.#35917scwhittle merged 2 commits intoapache:masterfrom
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…enabled. Remove weird verification if experiment is set.
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Summary of Changes
Hello @scwhittle, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request deprecates the --enable_streaming_engine flag within the Apache Beam Python SDK. As Python pipelines now inherently utilize the Streaming Engine, this flag's default behavior is updated to True, and a previously problematic validation check that caused failures when the flag was unset but experiments were present has been removed. This change simplifies pipeline option handling and removes unnecessary complexity.
Highlights
- Flag Deprecation: The --enable_streaming_engine flag's default value is changed from False to True, and its help text is updated to indicate its deprecated status, clarifying that all Python pipelines now use Streaming Engine.
- Validation Logic Removal: Redundant and error-prone validation logic in dataflow_runner.py has been removed. This previously caused failures if the --enable_streaming_engine flag was not explicitly set but related streaming engine experiments were enabled.
- Test Case Update: A relevant test case in dataflow_runner_test.py has been updated to reflect the deprecation, no longer explicitly setting the --enable_streaming_engine flag.
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| default=True, | ||
| action='store_true', | ||
| help='Enable Windmill Service for this Dataflow job. ') | ||
| help='Deprecated. All Python pipelines use Streaming Engine. ') |
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nit: All Python pipelines on Dataflow?
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No longer formatting errors, the test failure appears unrelated. |
Remove weird verification if flag was unset but experiment was set, which caused failure even if we otherwise ignore the flag by overwriting it.
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