Description
Bug report
multiprocessing.managers uses convert_to_error(kind, result) to make a raisable exception out of result when a call has responded with some sort of error. If kind == "#ERROR", then result is already an exception and the caller raises it directly—but because result was created in a frame at or under the caller, this creates a reference cycle result → result.__traceback__ → (some frame).f_locals['result'].
In particular, every time I've used a manager queue I've expected frequent occurrences of queue.Empty, and the buildup of reference cycles sporadically wakes up the garbage collector and wrecks my hopes of consistent latency.
I'm including an example script below. PR coming in a moment, so please let me know if I should expand the example into a test and bundle that in. (Please also feel free to tell me if this is a misuse of queue.Empty and I should buzz off.)
Your environment
- CPython versions tested on: 3.11.3
- Operating system and architecture:
uname -asaysLinux delia 6.3.2-arch1-1 #1 SMP PREEMPT_DYNAMIC Thu, 11 May 2023 16:40:42 +0000 x86_64 GNU/Linux
Minimal example
Output
net allocations: 0
got from queue: [0, 1, 2, 3, 4]
net allocations: 23
garbage produced: Counter({<class 'traceback'>: 3, <class 'frame'>: 3, <class 'list'>: 1, <class '_queue.Empty'>: 1})
net allocations: 0
Script
#!/usr/bin/env python
import collections
import gc
import multiprocessing
import queue
import time
def sender(q):
for i in range(5):
q.put_nowait(i)
def get_all_available(q):
result = []
try:
while True:
result.append(q.get_nowait())
except queue.Empty:
...
return result
def main():
q = multiprocessing.Manager().Queue()
p = multiprocessing.Process(target=sender, args=(q,))
p.start()
# take control of gc
gc.disable()
gc.collect()
gc.set_debug(gc.DEBUG_SAVEALL)
time.sleep(0.1) # just in case the new process took a while to create
print('net allocations: ', gc.get_count()[0])
# trigger a queue.Empty
print('got from queue: ', get_all_available(q))
# check for collectable garbage and print it
print('net allocations: ', gc.get_count()[0])
gc.collect()
print('garbage produced:', collections.Counter(type(x) for x in gc.garbage))
gc.set_debug(0)
gc.garbage.clear()
gc.collect()
print('net allocations: ', gc.get_count()[0])
# clean up
p.join()
if __name__ == '__main__':
main()