distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- 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
- Dont start http server in Scheduler.__init__
- Consider candidates that don't hold any dependencies in `decide_worker`
- Rebalance during a moving cluster
- `test_AllProgress_lost_key` flaky
- Improve work stealing for scaling situations
- Dask hangs indefinitely on unit test during client.scatter
- Docs
- Python not yet supported