[issue26903] ProcessPoolExecutor(max_workers=64) crashes on Windows
Tim Peters
report at bugs.python.org
Sat May 7 14:23:03 EDT 2016
Tim Peters added the comment:
Just noting that the `multiprocessing` module can be used instead. In the example, add
import multiprocessing as mp
and change
with concurrent.futures.ProcessPoolExecutor() as executor:
to
with mp.Pool() as executor:
That's all it takes. On my 4-core Win10 box (8 logical cores), that continued to work fine even when passing 1024 to mp.Pool() (although it obviously burned time and RAM to create over a thousand processes).
Some quick Googling strongly suggests there's no reasonably general way to overcome the Windows-defined MAXIMUM_WAIT_OBJECTS=64 for implementations that call the Windows WaitForMultipleObjects().
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nosy: +tim.peters
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<http://bugs.python.org/issue26903>
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