gh-89240: limit multiprocessing.Pool to 61 workers on windows

Author: aisk

Doc/library/multiprocessing.rst

@@ -2209,6 +2209,10 @@ with the :class:`Pool` class.
 
    *processes* is the number of worker processes to use.  If *processes* is
    ``None`` then the number returned by :func:`os.cpu_count` is used.
+   On Windows, *processes* must be equal or lower than ``61``. If it is not
+   then :exc:`ValueError` will be raised. If *processes* is ``None``, then
+   the default chosen will be at most ``61``, even if more processors are
+   available.
 
    If *initializer* is not ``None`` then each worker process will call
    ``initializer(*initargs)`` when it starts.

Lib/multiprocessing/pool.py

@@ -17,6 +17,7 @@
 import itertools
 import os
 import queue
+import sys
 import threading
 import time
 import traceback
@@ -175,6 +176,10 @@ class Pool(object):
     Class which supports an async version of applying functions to arguments.
     '''
     _wrap_exception = True
+    # On Windows, WaitForMultipleObjects is used to wait for processes to
+    # finish. It can wait on, at most, 64 objects. There is an overhead of three
+    # objects.
+    _MAX_WINDOWS_WORKERS = 64 - 3
 
     @staticmethod
     def Process(ctx, *args, **kwds):
@@ -201,8 +206,12 @@ def __init__(self, processes=None, initializer=None, initargs=(),
 
         if processes is None:
             processes = os.cpu_count() or 1
+            if sys.platform == 'win32':
+                processes = min(processes, self._MAX_WINDOWS_WORKERS)
         if processes < 1:
             raise ValueError("Number of processes must be at least 1")
+        if sys.platform == 'win32' and processes > self._MAX_WINDOWS_WORKERS:
+            raise ValueError(f"max_workers must be <= {self._MAX_WINDOWS_WORKERS}")
         if maxtasksperchild is not None:
             if not isinstance(maxtasksperchild, int) or maxtasksperchild <= 0:
                 raise ValueError("maxtasksperchild must be a positive int or None")
@@ -920,6 +929,7 @@ def _set(self, i, obj):
 
 class ThreadPool(Pool):
     _wrap_exception = False
+    _MAX_WINDOWS_WORKERS = float("inf")
 
     @staticmethod
     def Process(ctx, *args, **kwds):

Lib/test/_test_multiprocessing.py

@@ -2772,6 +2772,18 @@ def test_resource_warning(self):
             pool = None
             support.gc_collect()
 
+class TestPoolMaxWorkers(unittest.TestCase):
+    @unittest.skipUnless(sys.platform=='win32', 'Windows-only process limit')
+    def test_max_workers_too_large(self):
+        with self.assertRaisesRegex(ValueError, "max_workers must be <= 61"):
+            multiprocessing.pool.Pool(62)
+
+        # ThreadPool have no limit.
+        p = multiprocessing.pool.ThreadPool(62)
+        p.close()
+        p.join()
+
+
 def raising():
     raise KeyError("key")
 

Misc/NEWS.d/next/Library/2023-03-22-22-45-13.gh-issue-89240.rtEHSo.rst

@@ -0,0 +1,2 @@
+Limit :class:`processes` in ``multiprocessing.Pool`` to 61 to work around a
+WaitForMultipleObjects limitation.