distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- When using a local cluster, shuffle with disk
- `test_reschedule_concurrent_requests_deadlock` flaky
- TypeError when serializing tuples of dataclasses
- Replace worker use of `threading.local()` with ContextVar
- Is it intended that any error from a handler makes `Server.handle_stream` close the comm?
- Better documentation of required open ports
- Consistent worker Client instance in `get_client`
- `get_client` returns different Clients in different worker threads
- Allow NannyPlugins to handle worker process terminations
- Fix probing Windows Server
- Docs
- Python not yet supported