Currently, multiprocessing.Pool._worker_handler() checks every 100 ms if a worker exited using time.sleep(0.1). It causes a latency if worker exit frequently and the pool has to execute a large number of tasks. Worst case: --- import multiprocessing import time CONCURRENCY = 1 NTASK = 100 def noop(): pass with multiprocessing.Pool(CONCURRENCY, maxtasksperchild=1) as pool: start_time = time.monotonic() results = [pool.apply_async(noop, ()) for _ in range(NTASK)] for result in results: result.get() dt = time.monotonic() - start_time pool.terminate() pool.join() print("Total: %.1f sec" % dt) --- Output: --- Total: 10.2 sec --- The worst case is a pool of 1 process, each worker only executes a single task and the task does nothing (minimize task execution time): the latency is 100 ms per task, which means 10 seconds for 100 tasks. Using SIGCHLD signal to be notified when a worker completes would allow to avoid polling: reduce the latency and reduce CPU usage (the thread doesn't have to be awaken every 100 ms anymore).

asyncio uses SIGCHLD signal to be notified when a child process completes. SafeChildWatcher calls os.waitpid(pid, os.WNOHANG) on each child process, whereas FastChildWatcher() uses os.waitpid(-1, os.WNOHANG).

See also bpo-35479: multiprocessing.Pool.join() always takes at least 100 ms.

How do you use SIGCHLD on Windows? There is actually a portable (and robust) solution: use Process.sentinel https://docs.python.org/3/library/multiprocessing.html#multiprocessing.Process.sentinel There is another issue: Pool is currently subclassed by ThreadPool. You'll probably have to make the two implementations diverge a bit.

> How do you use SIGCHLD on Windows? I'm only proposing to use a signal when it's available, on UNIX. So have multiple implementations of the function, depending on the ability to get notified on completion without polling. On Windows, maybe we could use a dedicated thread to set an event once WaitForSingleObject/WaitForMultipleObjects completes? The design of my bpo-35479 change is to replace polling with one or multiple events. Maybe we can use an event to wakeup _worker_handler() when something happens, but have different wants to signal this event. I have to investigate how Process.sentinel can be used here. I might be interesting to use asyncio internally, but I'm not sure if it's possible ;-)

Using asyncio internally would be an interesting long-term goal, at least for the process pool version. Perhaps a first step is to find out how to await a multiprocessing Connection or Queue, or make async versions of these classes.

> I have to investigate how Process.sentinel can be used here. Look how concurrent.futures uses it: https://github.com/python/cpython/blob/master/Lib/concurrent/futures/process.py#L348 This also means: 1) we could redirect people to ProcessPoolExecutor instead of trying to backport all its features into multiprocessing.Pool 2) we could try to refactor the ProcessPoolExecutor implementation into a common backend for both ProcessPoolExecutor and multiprocessing.Pool

@Antoine Do you think we should start planning one of these long term solutions or we should start trying to use Process.sentinel as a short term solution for this particular issue?

If using Process.sentinel looks easy enough, then go for it. Existing users of multiprocessing.Pool will benefit.

 New changeset 7c994549dcffd0d9d3bb37475e6374f356e7240e by Pablo Galindo in branch 'master': bpo-35493: Use Process.sentinel instead of sleeping for polling worker status in multiprocessing.Pool (#11488) https://github.com/python/cpython/commit/7c994549dcffd0d9d3bb37475e6374f356e7240e 

This change seems to be causing a deadlock in multiprocessing shut-down: bpo-38501

And also https://bugs.python.org/issue38744 on Linux and FreeBSD