distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Import errors on workers should be visible in output
- Massive memory (100GB) used by dask-scheduler
- Memory leaks with sleep despite no data exchange or use of Pandas
- as_completed with multiple clients can be error-prone
- Track retry counts
- Race condition in distributed.utils.All
- Improve dask dashboard displaying of nested tasks execution
- Huge memory leak and processes do not restart automatically
- Get actor from other client having it's id
- "Event loop is closed" in multithreaded environment
- Docs
- Python not yet supported