A机器负责发送任务和接受结果：
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#task_master.pyimport random,time,queuefrom multiprocessing.managers import BaseManagertask_queue = queue.Queue()result_queue = queue.Queue()class QueueManager(BaseManager): passif __name__ == '__main__': print("master start.") QueueManager.register('get_task_queue',callable = lambda:task_queue) QueueManager.register('get_result_queue',callable = lambda:result_queue) manager = QueueManager(address = ('10.10.100.11',9833),authkey=b'abc') manager.start() task = manager.get_task_queue() result = manager.get_result_queue() for i in range(10): n = random.randint(0,1000) print('put task %d ...' % n) task.put(n) print('try get results...') for i in range(10): r = result.get(timeout = 100) print('Result:%s' % r) manager.shutdown() print('master exit.') |
B机器负责处理任务和发送结果：
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#task_worker.pyimport sys,time,queuefrom multiprocessing.managers import BaseManagerclass QueueManager(BaseManager): passQueueManager.register('get_task_queue')QueueManager.register('get_result_queue')server_addr = '10.10.100.11'print('connect to server %s...' % server_addr)m = QueueManager(address=(server_addr,9833),authkey=b'abc')m.connect()task = m.get_task_queue()result = m.get_result_queue()for i in range(10): try: n = task.get(timeout = 10) print('run task %d * %d' %(n,n)) r = '%d * %d = %d' %(n,n,n*n) time.sleep(1) result.put(r) except Queue.Empty: print('task queue is empty')print('worker exit'） |
