How do I catch a Ctrl+C in multiprocess python program and exit all processes gracefully, I need the solution to work both on unix and windows. I've tried the following:
import multiprocessing
import time
import signal
import sys
jobs = []
def worker():
signal.signal(signal.SIGINT, signal_handler)
while(True):
time.sleep(1.1234)
print "Working..."
def signal_handler(signal, frame):
print 'You pressed Ctrl+C!'
# for p in jobs:
# p.terminate()
sys.exit(0)
if __name__ == "__main__":
for i in range(50):
p = multiprocessing.Process(target=worker)
jobs.append(p)
p.start()
And it's kind of working, but I don't think it's the right solution.
The previously accepted solution has race conditions and it does not work with map
and async
functions.
The correct way to handle Ctrl+C/SIGINT
with multiprocessing.Pool
is to:
SIGINT
before a process Pool
is created. This way created child processes inherit SIGINT
handler.SIGINT
handler in the parent process after a Pool
has been created.map_async
and apply_async
instead of blocking map
and apply
.Putting it together:
#!/bin/env python
from __future__ import print_function
import multiprocessing
import os
import signal
import time
def run_worker(delay):
print("In a worker process", os.getpid())
time.sleep(delay)
def main():
print("Initializng 2 workers")
original_sigint_handler = signal.signal(signal.SIGINT, signal.SIG_IGN)
pool = multiprocessing.Pool(2)
signal.signal(signal.SIGINT, original_sigint_handler)
try:
print("Starting 2 jobs of 5 seconds each")
res = pool.map_async(run_worker, [5, 5])
print("Waiting for results")
res.get(60) # Without the timeout this blocking call ignores all signals.
except KeyboardInterrupt:
print("Caught KeyboardInterrupt, terminating workers")
pool.terminate()
else:
print("Normal termination")
pool.close()
pool.join()
if __name__ == "__main__":
main()
As @YakovShklarov noted, there is a window of time between ignoring the signal and unignoring it in the parent process, during which the signal can be lost. Using pthread_sigmask
instead to temporarily block the delivery of the signal in the parent process would prevent the signal from being lost, however, it is not available in Python-2.