bpo-39104: Fix hanging ProcessPoolExecutor on shutdown nowait with pickling failure (GH-17670)

As reported initially by @rad-pat in #6084, the following script causes a deadlock.

```
from concurrent.futures import ProcessPoolExecutor


class ObjectWithPickleError():
    """Triggers a RuntimeError when sending job to the workers"""

    def __reduce__(self):
        raise RuntimeError()


if __name__ == "__main__":
    e = ProcessPoolExecutor()
    f = e.submit(id, ObjectWithPickleError())
    e.shutdown(wait=False)
    f.result()  # Deadlock on get
```

This is caused by the fact that the main process is closing communication channels that might be necessary to the `queue_management_thread` later. To avoid this, this PR let the `queue_management_thread` manage all the closing.



https://bugs.python.org/issue39104



Automerge-Triggered-By: @pitrou
This commit is contained in:
Thomas Moreau 2020-02-16 19:09:26 +01:00 committed by GitHub
parent 1ed61617a4
commit a5cbab552d
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GPG key ID: 4AEE18F83AFDEB23
3 changed files with 106 additions and 29 deletions

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@ -415,13 +415,32 @@ class ThreadPoolShutdownTest(ThreadPoolMixin, ExecutorShutdownTest, BaseTestCase
def test_del_shutdown(self):
executor = futures.ThreadPoolExecutor(max_workers=5)
executor.map(abs, range(-5, 5))
res = executor.map(abs, range(-5, 5))
threads = executor._threads
del executor
for t in threads:
t.join()
# Make sure the results were all computed before the
# executor got shutdown.
assert all([r == abs(v) for r, v in zip(res, range(-5, 5))])
def test_shutdown_no_wait(self):
# Ensure that the executor cleans up the threads when calling
# shutdown with wait=False
executor = futures.ThreadPoolExecutor(max_workers=5)
res = executor.map(abs, range(-5, 5))
threads = executor._threads
executor.shutdown(wait=False)
for t in threads:
t.join()
# Make sure the results were all computed before the
# executor got shutdown.
assert all([r == abs(v) for r, v in zip(res, range(-5, 5))])
def test_thread_names_assigned(self):
executor = futures.ThreadPoolExecutor(
max_workers=5, thread_name_prefix='SpecialPool')
@ -488,7 +507,7 @@ class ProcessPoolShutdownTest(ExecutorShutdownTest):
def test_del_shutdown(self):
executor = futures.ProcessPoolExecutor(max_workers=5)
list(executor.map(abs, range(-5, 5)))
res = executor.map(abs, range(-5, 5))
queue_management_thread = executor._queue_management_thread
processes = executor._processes
call_queue = executor._call_queue
@ -502,6 +521,31 @@ class ProcessPoolShutdownTest(ExecutorShutdownTest):
p.join()
call_queue.join_thread()
# Make sure the results were all computed before the
# executor got shutdown.
assert all([r == abs(v) for r, v in zip(res, range(-5, 5))])
def test_shutdown_no_wait(self):
# Ensure that the executor cleans up the processes when calling
# shutdown with wait=False
executor = futures.ProcessPoolExecutor(max_workers=5)
res = executor.map(abs, range(-5, 5))
processes = executor._processes
call_queue = executor._call_queue
queue_management_thread = executor._queue_management_thread
executor.shutdown(wait=False)
# Make sure that all the executor resources were properly cleaned by
# the shutdown process
queue_management_thread.join()
for p in processes.values():
p.join()
call_queue.join_thread()
# Make sure the results were all computed before the executor got
# shutdown.
assert all([r == abs(v) for r, v in zip(res, range(-5, 5))])
create_executor_tests(ProcessPoolShutdownTest,
executor_mixins=(ProcessPoolForkMixin,
@ -1086,6 +1130,32 @@ class ExecutorDeadlockTest:
with self.assertRaises(BrokenProcessPool):
f.result()
def test_shutdown_deadlock_pickle(self):
# Test that the pool calling shutdown with wait=False does not cause
# a deadlock if a task fails at pickle after the shutdown call.
# Reported in bpo-39104.
self.executor.shutdown(wait=True)
with self.executor_type(max_workers=2,
mp_context=get_context(self.ctx)) as executor:
self.executor = executor # Allow clean up in fail_on_deadlock
# Start the executor and get the queue_management_thread to collect
# the threads and avoid dangling thread that should be cleaned up
# asynchronously.
executor.submit(id, 42).result()
queue_manager = executor._queue_management_thread
# Submit a task that fails at pickle and shutdown the executor
# without waiting
f = executor.submit(id, ErrorAtPickle())
executor.shutdown(wait=False)
with self.assertRaises(PicklingError):
f.result()
# Make sure the executor is eventually shutdown and do not leave
# dangling threads
queue_manager.join()
create_executor_tests(ExecutorDeadlockTest,
executor_mixins=(ProcessPoolForkMixin,