distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- WARNING - Memory use is high but worker has no data to store to disk
- Semaphore gets released too often
- Persistent client connection
- KeyError: pickle-protocol when running df.npartitions
- Dask requires consistent Python hashing
- Semaphore and other objects as task condition
- Cluster dies with "failed to deserialize" and "IndexError: pop from empty list"
- Timed out trying to connect ... : connect() didn't finish in time
- Super weird bug when passing a simple dict using Futures
- Capability to cancel dask jobs started with fire_and_forget
- Docs
- Python not yet supported