python multiprocessing process.terminate signal code example
Example: python multiprocessing terminate
You might run the child processes as daemons in the background.
process.daemon = True
Any errors and hangs (or an infinite loop) in a daemon process will not affect the main process, and it will only be terminated once the main process exits.
This will work for simple problems until you run into a lot of child daemon processes which will keep reaping memories from the parent process without any explicit control.
Best way is to set up a Queue to have all the child processes communicate to the parent process so that we can join them and clean up nicely. Here is some simple code that will check if a child processing is hanging (aka time.sleep(1000)), and send a message to the queue for the main process to take action on it:
import multiprocessing as mp
import time
import queue
running_flag = mp.Value("i", 1)
def worker(running_flag, q):
count = 1
while True:
if running_flag.value:
print "working {0} ...".format(count)
count += 1
q.put(count)
time.sleep(1)
if count > 3:
print "hanging..."
time.sleep(1000)
def watchdog(q):
"""
This check the queue for updates and send a signal to it
when the child process isn't sending anything for too long
"""
while True:
try:
msg = q.get(timeout=10.0)
except queue.Empty as e:
print "[WATCHDOG]: Maybe WORKER is slacking"
q.put("KILL WORKER")
def main():
"""The main process"""
q = mp.Queue()
workr = mp.Process(target=worker, args=(running_flag, q))
wdog = mp.Process(target=watchdog, args=(q,))
wdog.daemon = True
workr.start()
print "[MAIN]: starting process P1"
wdog.start()
while True:
msg = q.get()
if msg == "KILL WATCHDOG":
print "[MAIN]: Terminating slacking WORKER"
workr.terminate()
time.sleep(0.1)
if not workr.is_alive():
print "[MAIN]: WORKER is a goner"
workr.join(timeout=1.0)
print "[MAIN]: Joined WORKER successfully!"
q.close()
break
if __name__ == '__main__':
main()
Without terminating worker, attempt to join() it to the main process would have blocked forever since worker has never finished.