When the pull is not used via the context manager or terminate() is called, there is a system in multiprocessing.util that handles finalization of all pools via an atexit handler (the Finalize) class. This class registers the _terminate_pool handler in the registry of finalizers of the module, and that registry is called on interpreter exit via _exit_function. The problem is that the "happy" path with the context manager or manual call to finalize() does some extra steps that _terminate_pool does not. The step that is not executed when the atexit() handler calls _terminate_pool is pinging the _change_notifier queue to unblock the maintenance threads.
This commit moves the notification to the _terminate_pool function so is called from both code paths.
Co-authored-by: Pablo Galindo <Pablogsal@gmail.com>
def terminate(self):
util.debug('terminating pool')
self._state = TERMINATE
- self._worker_handler._state = TERMINATE
- self._change_notifier.put(None)
self._terminate()
def join(self):
# this is guaranteed to only be called once
util.debug('finalizing pool')
+ # Notify that the worker_handler state has been changed so the
+ # _handle_workers loop can be unblocked (and exited) in order to
+ # send the finalization sentinel all the workers.
worker_handler._state = TERMINATE
+ change_notifier.put(None)
+
task_handler._state = TERMINATE
util.debug('helping task handler/workers to finish')
for (j, res) in enumerate(results):
self.assertEqual(res.get(), sqr(j))
+ def test_worker_finalization_via_atexit_handler_of_multiprocessing(self):
+ # tests cases against bpo-38744 and bpo-39360
+ cmd = '''if 1:
+ from multiprocessing import Pool
+ problem = None
+ class A:
+ def __init__(self):
+ self.pool = Pool(processes=1)
+ def test():
+ global problem
+ problem = A()
+ problem.pool.map(float, tuple(range(10)))
+ if __name__ == "__main__":
+ test()
+ '''
+ rc, out, err = test.support.script_helper.assert_python_ok('-c', cmd)
+ self.assertEqual(rc, 0)
+
#
# Test of creating a customized manager class
#
--- /dev/null
+Ensure all workers exit when finalizing a :class:`multiprocessing.Pool` implicitly via the module finalization
+handlers of multiprocessing. This fixes a deadlock situation that can be experienced when the Pool is not
+properly finalized via the context manager or a call to ``multiprocessing.Pool.terminate``. Patch by Batuhan Taskaya
+and Pablo Galindo.