distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Add retries to RPC
- Respect task ordering when making worker assignments
- Worker assignment for split-shuffle tasks
- `get_worker` can return the wrong worker with an async local cluster
- Infinite loop after FargateCluster shutdown fails
- dask hang in drop_by_shallow or from_pandas
- New Client/Cluster reprs add TOC items in Jupyterlab
- Is queuing on the worker "processing"?
- Memory spike and CancelledError when calling `dataframe.set_index()` on single machine
- Print detail in `validate_*` assertions
- Docs
- Python not yet supported