What is demo in python
DEMO is the abbreviation of "demonstration". The Chinese meaning of DEMO is "demonstration", "display", "sample", "sample", and "prototype". It is often used to refer to things that have the function and meaning of demonstration or display.
Example: python simple distributed demo (recommended learning: Python video tutorial)
A server is the master and B server is the worker.
Execute taskManger.py on server A
# coding:utf-8 import random,time,Queue from multiprocessing.managers import BaseManager #实现第一步:建立task_queue和result_queue,用来存放任务和结果 task_queue=Queue.Queue() result_queue=Queue.Queue() class Queuemanager(BaseManager): pass #实现第二步:把创建的两个队列注册在网络上,利用register方法,callable参数关联了Queue对象, # 将Queue对象在网络中暴露 Queuemanager.register('get_task_queue',callable=lambda:task_queue) Queuemanager.register('get_result_queue',callable=lambda:result_queue) #实现第三步:绑定端口8001,设置验证口令‘qiye’。这个相当于对象的初始化 manager=Queuemanager(address=('',8001),authkey='lsf') #实现第四步:启动管理,监听信息通道 manager.start() #实现第五步:通过管理实例的方法获得通过网络访问的Queue对象 task=manager.get_task_queue() result=manager.get_result_queue() #实现第六步:添加任务 for url in ["ImageUrl_"+str(i) for i in range(10)]: print 'put task %s ...' %url task.put(url) #获取返回结果 print 'try get result...' for i in range(10): print 'result is %s' %result.get(timeout=10) #关闭管理 manager.shutdown()
Execute worker script taskWorker.py on server B
#coding:utf-8 import time from multiprocessing.managers import BaseManager # 创建类似的QueueManager: class QueueManager(BaseManager): pass # 实现第一步:使用QueueManager注册获取Queue的方法名称 QueueManager.register('get_task_queue') QueueManager.register('get_result_queue') # 实现第二步:连接到服务器: server_addr = '127.0.0.1' print('Connect to server %s...' % server_addr) # 端口和验证口令注意保持与服务进程设置的完全一致: m = QueueManager(address=(server_addr, 8001), authkey='lsf') # 从网络连接: m.connect() # 实现第三步:获取Queue的对象: task = m.get_task_queue() result = m.get_result_queue() # 实现第四步:从task队列取任务,并把结果写入result队列: while(not task.empty()): image_url = task.get(True,timeout=5) print('run task download %s...' % image_url) time.sleep(1) result.put('%s--->success'%image_url) # 处理结束: print('worker exit.')
For more Python related technical articles, please visit Python Learn in the tutorial column!
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