distributed
https://github.com/dask/distributed
Python
A distributed task scheduler for Dask
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- Issues
- Merge Scheduler Bokeh Servers
- Consider allowing local_clients to stay within the threadpool
- Documentation for IPython backend - set_options needs the client instance method
- NBytes estimates on pandas dataframes with strings are overly pessimistic
- Scheduler should track which tasks are spawned by other tasks
- Reduce communication latency
- exception on worker termination
- Cryptic error when package not installed on worker
- Add op_diagnotics to core.py::Server
- Investigate bridging Spark DataFrames to Dask DataFrames
- Docs
- Python not yet supported