damccorm opened a new pull request, #41162:
URL: https://github.com/apache/beam/pull/41162
### Description
Optimizes `_OutputHandler.handle_process_batch_outputs` in
`sdks/python/apache_beam/runners/common.py` and `common.pxd`:
1. **Return early when `results is None`, hoist `empty_windowed_value`, and
inline `TaggedOutput` check:**
- Avoids allocating `results = []` when `results is None`.
- Hoists `empty_windowed_value =
windowed_input_batch.as_empty_windowed_value()` (typed as `WindowedValue` in
`common.pxd`) outside the `for result in results:` loop when
`_process_batch_yields_elements` is true.
- Inlines `isinstance(result, TaggedOutput)` instead of calling
`self._handle_tagged_output(result)` on every batch output.
### Benchmarks & Performance Impact
- **Microbenchmark:** [`bench_11_output_handler_batch_fastpath`
(`c2feb961eef`)](https://github.com/damccorm/beam/blob/c2feb961eef2e7d2410825aab9537c62a95e6790/sdks/python/apache_beam/testing/benchmarks/python_sdk_perf/microbenchmarks.py#L203-L214)
(on branch
[`perf/py-benchmarks-suite`](https://github.com/damccorm/beam/tree/perf/py-benchmarks-suite))
— 300,000 `handle_process_batch_outputs` calls improved by **1.38x
(`-27.5%`)**.
- **End-to-End Cloud Dataflow Benchmark (`core_window_row_combine`):**
Included in [`run_core_window_row_combine_pipeline`
(`c2feb961eef`)](https://github.com/damccorm/beam/blob/c2feb961eef2e7d2410825aab9537c62a95e6790/sdks/python/apache_beam/testing/benchmarks/python_sdk_perf/dataflow_e2e_benchmarks.py#L274-L302)
(3,000,000 generated events -> 9,000,000 sliding-windowed elements on a single
`n2-standard-4` worker), which improved end-to-end worker stage execution time
by **1.80x (`-44.5%`, `599.6s` -> `332.9s`)** and reduced total billable
Dataflow vCPU/Memory/PD usage by **`-26.1%` (`1,134` -> `838` vCPU-s)**.
### Testing
- Verified with `pytest sdks/python/apache_beam/runners/common_test.py`.
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