问题
import multiprocessing as mp
import time
def build(q):
print 'I build things'
time.sleep(10)
#return 42
q.put(42)
def run(q):
num = q.get()
print num
if num == 42:
print 'I run after build is done'
return
else:
raise Exception("I don't know build..I guess")
def get_number(q):
q.put(3)
if __name__ == '__main__':
queue = mp.Queue()
run_p = mp.Process(name='run process', target=run, args=(queue,))
build_p = mp.Process(name='build process', target=build, args=(queue,))
s3 = mp.Process(name='s3', target=get_number, args=(queue,))
build_p.start()
run_p.start()
s3.start()
print 'waiting on build'
build_p.join(1) # timeout set to 1 second
s3.join()
print 'waiting on run'
run_p.join()
queue.close()
print 'waiting on queue'
queue.join_thread()
print 'done'
My goal is to send build
and run
into different workers, and run
has to get result back from build
in order to proceed.
The above revised code based on your help will actually return exception, because s3
is returned before build
has the chance.
The value in the front of the queue is now 3. How can we make sure we get the answer back from build
process?
Thanks.
回答1:
Your question is a little murky..the problem you are describing sounds synchronous so 3 processes are a little overkill.
Assuming you are just trying to pass values to run you could use the queue object.
import multiprocessing as mp
import time
def build(q):
print 'I build things'
time.sleep(5)
q.put(42)
return
def run(q):
while True:
num = q.get()
if num == 42:
print 'I run after build is done'
return
else:
print 'not the right number...'
def get_number():
return 41
if __name__ == '__main__':
queue = mp.Queue()
run_p = mp.Process(name='run process', target=run, args=(queue,))
build_p = mp.Process(name='build process', target=build, args=(queue,))
run_p.start()
build_p.start()
print 'waiting on build'
build_p.join()
print 'waiting on run'
run_p.join()
queue.close()
print 'waiting on queue'
queue.join_thread()
print 'done'
来源:https://stackoverflow.com/questions/11216702/in-python-how-do-you-get-data-back-from-a-particular-process-using-multiprocess