distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Improve configuration/composition of Prometheus metric collection
- Issues with tasks completing on workers after being released and re-submitted
- Prometheus: expose cumulative worker utilisation instead of spot metric
- Tasks with worker restrictions get stuck in `no-worker` when required worker is removed
- Prometheus metrics improvements
- Fix worker startup in IPv6 only environment
- as_completed(futures, with_results=True, raise_errors=raise_errors) gets struck in an infinite loop
- Are timeouts in Worker.close antipatterns?
- Alternative `worker_client` usage model
- Restart can kill a worker
- Docs
- Python not yet supported