distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- distributed.utils - ERROR while running dask.distributed on local cluster
- WARNING - Couldn't gather 1 keys, rescheduling even with --contact-address flag
- async Client with sync LocalCluster
- Futures unpickled on Client/Worker are attached to the wrong Client
- Tasks are not stolen if worker runs out of memory
- pickle cache of submitted functions generate object collusion
- client.submit not working with client.upload_file after first time
- What might cause a a dask graph to freeze/hang when there's only 1 worker but work with no problems when there's 2 workers or above
- Serialization with `"msgpack"` doesn't preserve `list`s
- Nested `scatter` calls lead to `KeyError`
- Docs
- Python not yet supported