distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Implement module upload plugin (#8698)
- Allow exceptions that fail pickle deserialisation to be easily identified downstream.
- Scheduler should not be considered idle while a client submits new work
- Attempting to view details of a key held by a worker results in a 404
- Client submit with workers doesn’t handle new joining workers correctly
- Memory leak when submitting futures
- Remove ``defaults`` conda channel from CI
- `Client.compute(df)` operates on larger task graphs than `df.compute()`
- Propagate reason to client-side `FutureCancelledError` when closing the scheduler
- Remove data spilling that acts on `target` threshold
- Docs
- Python not yet supported