stankiewicz opened a new pull request, #40333:
URL: https://github.com/apache/beam/pull/40333
Fixes #39667
## Description
This PR updates `dataflow_cloudml_benchmark_tests_py_versions` in
`sdks/python/test-suites/gradle.properties` from `3.10` to `3.11`.
### Background & Root Cause
The Dataflow TensorFlow Transform benchmark suite
(`:sdks:python:test-suites:dataflow:tftTests`) experienced a worker startup and
execution regression (sdk boot latency ballooned from ~1.5 minutes to ~6
minutes).
Investigation of worker startup logs revealed a pip dependency resolution
conflict triggered by `cloudml/requirements.txt`:
1. **Mutually Exclusive Protobuf Range on Python 3.10:**
* `tensorflow-metadata==1.21.0` (required by `tfx_bsl` and
`tensorflow-transform`) contains a Python `<3.11`-specific constraint:
`protobuf<=6.32;python_version<"3.11"`.
* Beam master recently bumped `google-cloud-bigtable` to `>=2.42.0`,
which strictly requires `protobuf>=6.33.5`.
* On Python 3.10, these ranges do not overlap.
2. **Pip Backtracking & On-Worker Compilation:**
* Pip rejects the pre-installed Beam master build and resolves the
conflict by temporarily downloading `apache-beam==2.75.0` and downgrading
`pyarrow` to `23.0.1`.
* Right after, Gradle's staged `--extra_package` (`apache-beam.tar.gz`)
forces a reinstall of master code, which compiles all Cython/C++ extensions
from source directly on the worker VM. This alone consumes over 4 minutes of
100% CPU on each worker before the harness can even start.
### Solution
In `tensorflow-metadata==1.21.0`'s `setup.py`, the protobuf constraint for
Python 3.11+ has no upper bound:
```python
'protobuf>=4.25.2;python_version>="3.11"'
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