And it's on Python stdlib 3
https://docs.python.org/3/library/multiprocessing.html#multiprocessing.pool.Pool

On Sat, 26 Jun 2021, 17:24 Thomas Grainger, <tagr...@gmail.com> wrote:

> billiard a multiprocessing py2 fork/backport has
> https://billiard.readthedocs.io/en/latest/library/multiprocessing.html#multiprocessing.pool.multiprocessing.Pool
> with maxtasksperchild
>
> On Sat, 26 Jun 2021, 16:57 Ram Rachum, <r...@rachum.com> wrote:
>
>> Hi guys,
>>
>> I want to have a version of `concurrent.futures.ProcessPoolExecutor` in
>> which every worker process shuts down after each task. I want this because
>> I believe I have a memory leak in my program that I wasn't able to fix.
>> (Possibly it's in C extensions that I use.)
>>
>> Since I'm going to use a process pool anyway, I'm hoping to sidestep this
>> memory leak by launching every task on a worker process that shuts down
>> after it's done.
>>
>> A few years back when I was working at Dell, they did something similar.
>> They had a Python server that had a memory leak, and they worked around it
>> by having a process that can be easily restarted, and then they restarted
>> it often.
>>
>> The plan is that each new work item will run on a fresh process that has
>> no memory leaks from previous work items.
>>
>> I looked at the `futures/process.py` file to see whether I could subclass
>> `ProcessPoolExecutor` and add this functionality, and boy oh boy this is
>> not easy.
>>
>> Do you think it's worthwhile to add this feature to `ProcessPoolExecutor`?
>>
>>
>> Thanks,
>> Ram.
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