damccorm opened a new pull request, #41136:
URL: https://github.com/apache/beam/pull/41136
### Description
Optimizes `IntervalWindow.__lt__`, `intersects`, and `union` in
`sdks/python/apache_beam/transforms/window.py`:
1. **Compare `_start_micros` and `_end_micros` directly:**
- Previously, `IntervalWindow.__lt__`, `intersects`, and `union` accessed
`self.start` and `self.end`, lazily allocating `Timestamp` wrapper objects on
every comparison or merge.
- Comparing `self._start_micros` and `self._end_micros` directly avoids
`Timestamp` materialization and object comparisons.
### Benchmarks & Performance Impact
- **Microbenchmark:** [`bench_06_interval_window_ops`
(`c2feb961eef`)](https://github.com/damccorm/beam/blob/c2feb961eef2e7d2410825aab9537c62a95e6790/sdks/python/apache_beam/testing/benchmarks/python_sdk_perf/microbenchmarks.py#L134-L143)
(on branch
[`perf/py-benchmarks-suite`](https://github.com/damccorm/beam/tree/perf/py-benchmarks-suite))
— 500,000 `IntervalWindow` `<`, `intersects()`, and `union()` operations
improved by **3.10x (`-67.7%`)**.
- **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/transforms/window_test.py`.
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