distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Replace worker use of `threading.local()` with ContextVar
- FargateCluster timeout on exit
- Tests can't run in parallel because of fixed ports
- Creating a Client with set_as_default=False sets client as default
- Memory leak in gather()
- self.connection.run("cmd /c ver") causing problems
- `xarray` data objects not being accounted in the worker's managed memory
- Slow execution time on very large k8s-backed dask cluster
- Deadlock - task not running
- Scheduler underestimates data transfer cost for small transfers
- Docs
- Python not yet supported