Thank you Thomas, that's helpful. Though I really like the future interface, I've used it many times while I never used `multiprocessing.pool.Pool` or its `AsyncResult`. I worry that some of the expectations I've grown to have from `Future` objects would be broken here.

It would be nice if this feature existed in `concurrent.futures`.


Thanks,
Ram.

On Sat, Jun 26, 2021 at 7:28 PM Thomas Grainger <tagrain@gmail.com> wrote:
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, <tagrain@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, <ram@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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