同步的方法基本與多線程相同。
1) Lock
當多個進程需要訪問共享資源的時候，Lock可以用來避免訪問的沖突。
import multiprocessing
import sys
def worker_with(lock, f):
with lock:
fs = open(f,"a+")
fs.write('Lock acquired via with\n')
fs.close()
def worker_no_with(lock, f):
lock.acquire()
try:
fs = open(f,"a+")
fs.write('Lock acquired directly\n')
fs.close()
finally:
lock.release()
if __name__ == "__main__":
f = "file.txt"
lock = multiprocessing.Lock()
w = multiprocessing.Process(target=worker_with, args=(lock, f))
nw = multiprocessing.Process(target=worker_no_with, args=(lock, f))
w.start()
nw.start()
w.join()
nw.join()
在上面的例子中，如果兩個進程沒有使用lock來同步,則他們對同一個文件的寫操作可能會出現混亂。
2）Semaphore
Semaphore用來控制對共享資源的訪問數量，例如池的最大連接數。
import multiprocessing
import time
def worker(s,i):
s.acquire()
print(multiprocessing.current_process().name + " acquire")
time.sleep(i)
print(multiprocessing.current_process().name + " release")
s.release()
if __name__ == "__main__":
s = multiprocessing.Semaphore(2)
for i in range(5):
p = multiprocessing.Process(target=worker, args=(s,i*2))
p.start()
上面的實例中使用semaphore限制了最多有2個進程同時執行。
3）Event
Event用來實現進程間同步通信。
import multiprocessing
import time
def wait_for_event(e):
"""Wait for the event to be set before doing anything"""
print ('wait_for_event: starting')
e.wait()
print ('wait_for_event: e.is_set()->' + str(e.is_set()))
def wait_for_event_timeout(e, t):
"""Wait t seconds and then timeout"""
print ('wait_for_event_timeout: starting')
e.wait(t)
print ('wait_for_event_timeout: e.is_set()->' + str(e.is_set()))
if __name__ == '__main__':
e = multiprocessing.Event()
w1 = multiprocessing.Process(name='block',
target=wait_for_event,
args=(e,))
w1.start()
w2 = multiprocessing.Process(name='non-block',
target=wait_for_event_timeout,
args=(e, 2))
w2.start()
time.sleep(3)
e.set()
print ('main: event is set')
#the output is:
#wait_for_event_timeout: starting
#wait_for_event: starting
#wait_for_event_timeout: e.is_set()->False
#main: event is set
#wait_for_event: e.is_set()->True
