Python 分布式进程Worker

#!/usr/bin/env python

# -*- coding:utf-8 -*-

# author: Changhua Gong

import random, time, queue

from multiprocessing.managers import BaseManager

from queue import Queue

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worker进程：执行任务，反馈结果

这部分内容与官网教程，有些出入

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# 从BaseManager继承QueueManager

class QueueManager(BaseManager):

pass

# 从网络上获取对应的queue

QueueManager.register("get_queue_t")

QueueManager.register("get_queue_rs")

# 连接到服务器，也就是运行task_master.py的机器:

server_ip = "127.0.0.1"

print("Connect to server...%s" % server_ip)

manager = QueueManager(address=(server_ip, 5000), authkey=b"love8013")  # 保证端口和密匙一致

# 从网络连接

manager.connect()

# 获得通过网络访问的Queue对象

t = manager.get_queue_t()

rs = manager.get_queue_rs()

print("1")

# 从task队列中读取任务，并将结果写会result队列

for i in range(10):

try:

n = t.get(timeout=1)

print(‘run task %d * %d...‘ % (n, n))

r = ‘%d * %d = %d‘ % (n, n, n*n)

time.sleep(1)

rs.put(r)

except Queue.Empty:

print(‘task queue is empty.‘)

print(‘worker exit.‘)