distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- SpecCluster: add option to *not* shut down the scheduler when the cluster is closed
- "TypeError: h5py objects cannot be pickled" when applying map_blocks to dask array constructed from HDF5 dataset
- [PoC] Remote debugger based on `debugpy`
- Use Expr instead of HLG
- Remove IP lookup from `inproc` protocol
- While registering a scheduler plugin get TypeError: PooledRPCCall.__getattr__.<locals>.send_recv_from_rpc() takes 0 positional arguments but 1 was given
- Multiple semaphores render scheduler unresponsive and crash entire cluster
- Behavior change in Future / task resolution for Client.submit with complicated arguments
- 🐛 Clean tuples dict keys from workers_info in /api/v1/retire_workers.
- Add keyword to allow disabling config forwarding in SSHCluster
- Docs
- Python not yet supported