distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Dashboard memory/CPU increases when dashboard is used, making scheduler unresponsive
- [Retrospective] Use of ContextVars for passing stimulus_id's within the Scheduler
- Missing test: duplicates in Worker.ready
- Better description and warnings for using `n_workers=auto`
- How should our test matrix look like?
- Possible lead for `WARNING - full garbage collections took XY% CPU time recently` on CI
- Scheduler-side task prioritization is partially untested
- Refactor report generation logic into a separate repository
- enable `xfail_strict=True` - and stop using `@pytest.mark.xfail` for flaky tests
- as_completed can run into infinite loop when worker restarts
- Docs
- Python not yet supported