Python 多进程锁multiprocess Lock
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Lock
当多个进程需要访问共享资源的时候,Lock可以用来避免访问的冲突。
import multiprocessingimport sysdef 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,如果两个进程没有使用lock来同步,则他们对同一个文件的写操作可能会出现混乱。
Semaphore
Semaphore用来控制对共享资源的访问数量,例如池的最大连接数。
import multiprocessingimport 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()
上面的实例中使用semaphore限制了最多有2个进程同时执行。
Event
Event用来实现进程间同步通信。
import multiprocessingimport timedef 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
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