distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Fix detection of existing tasks
- Reading data from zarr or netcdf files loads all data into memory with distributed scheduler
- Add config to control default direct_to_worker value
- `Client.compute` doesn't materialize delayed chunk of persisted array if provided as a dict value
- Simplify hosing of Dask Scheduler Dashboard behind the proxy
- GC stalls scheduler for up to a minute with large task graph
- Remove subgraph callable
- Use IO task marker in scheduling
- `RuntimeError: Not enough arguments provided: missing keys` in `dask.persist` with mix of `Future` and `Delayed`
- Bump codecov/codecov-action from 3 to 5
- Docs
- Python not yet supported