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Posted to github@beam.apache.org by "shunping (via GitHub)" <gi...@apache.org> on 2025/12/08 04:00:43 UTC
[I] [Bug]: pytest retry configuration is not effective [beam]
shunping opened a new issue, #37038:
URL: https://github.com/apache/beam/issues/37038
### What happened?
Looking at workflow file: https://github.com/apache/beam/blob/e927f2d02c0fef783914708fbd3333cd3dda30bc/.github/workflows/beam_PreCommit_Python.yml#L114
It seems that we enabled a retry setting for pytest. However, when looking at the log (e.g. https://github.com/apache/beam/actions/runs/20010300018/job/57378762026), I don't see the option is effective. Particularly, the retry setting needs pytest plugin `pytest-rerunfailures`, but I could not see that in our plugin list below.
```
py310-cloud: commands[1]> bash /runner/_work/beam/beam/sdks/python/test-suites/tox/py310/build/srcs/sdks/python/scripts/run_pytest.sh py310-cloud ''"'"'--ignore=apache_beam/dataframe/ --ignore=apache_beam/ml/ --ignore=apache_beam/examples/ --ignore=apache_beam/runners/ --ignore=apache_beam/transforms/'"'"''
pytest_args:
posargs: --ignore=apache_beam/dataframe/ --ignore=apache_beam/ml/ --ignore=apache_beam/examples/ --ignore=apache_beam/runners/ --ignore=apache_beam/transforms/
Running parallel tests with: pytest -m "not no_xdist" --ignore=apache_beam/dataframe/ --ignore=apache_beam/ml/ --ignore=apache_beam/examples/ --ignore=apache_beam/runners/ --ignore=apache_beam/transforms/
--- Applying global testcontainers timeout configuration ---
Successfully set waiting utils config
============================= test session starts ==============================
platform linux -- Python 3.10.17, pytest-8.4.2, pluggy-1.6.0 -- /runner/_work/beam/beam/sdks/python/test-suites/tox/py310/build/srcs/sdks/python/target/.tox-py310-cloud/py310-cloud/bin/python
cachedir: target/.tox-py310-cloud/py310-cloud/.pytest_cache
hypothesis profile 'ci' -> database=None, deadline=None, print_blob=True, derandomize=True, suppress_health_check=(HealthCheck.too_slow,)
rootdir: /runner/_work/beam/beam/sdks/python/test-suites/tox/py310/build/srcs/sdks/python
configfile: pytest.ini
plugins: requests-mock-1.12.1, hypothesis-6.148.3, anyio-4.12.0, xdist-3.8.0, timeout-2.4.0 <-------- no retry failure plugin
timeout: 600.0s
timeout method: signal
timeout func_only: False
created: 6/6 workers
6 workers [4105 items]
```
### Issue Priority
Priority: 2 (default / most bugs should be filed as P2)
### Issue Components
- [ ] Component: Python SDK
- [ ] Component: Java SDK
- [ ] Component: Go SDK
- [ ] Component: Typescript SDK
- [ ] Component: IO connector
- [ ] Component: Beam YAML
- [ ] Component: Beam examples
- [ ] Component: Beam playground
- [ ] Component: Beam katas
- [ ] Component: Website
- [ ] Component: Infrastructure
- [ ] Component: Spark Runner
- [ ] Component: Flink Runner
- [ ] Component: Samza Runner
- [ ] Component: Twister2 Runner
- [ ] Component: Hazelcast Jet Runner
- [ ] Component: Google Cloud Dataflow Runner
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Re: [I] [Bug]: pytest retry configuration is not effective [beam]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] closed issue #37038: [Bug]: pytest retry configuration is not effective
URL: https://github.com/apache/beam/issues/37038
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Re: [I] [Bug]: pytest retry configuration is not effective [beam]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #37038:
URL: https://github.com/apache/beam/issues/37038#issuecomment-4642750097
This issue has been closed due to lack of activity. If you think that is incorrect, you can reopen the issue at any time.
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Re: [I] [Bug]: pytest retry configuration is not effective [beam]
Posted by "github-actions[bot] (via GitHub)" <gi...@apache.org>.
github-actions[bot] commented on issue #37038:
URL: https://github.com/apache/beam/issues/37038#issuecomment-4406573206
This issue has been marked as stale due to 150 days of inactivity. It will be closed in 30 days if no further activity occurs. If you think that’s incorrect or this issue still needs to be addressed, please simply write any comment. If closed, you can reopen the issue at any time. Thank you for your contributions.
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