Python Distributed Process 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 processes: Performing tasks, feedback results

This part of the content and the official website tutorial, some discrepancy

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# Inherit from Basemanager QueueManager

Class QueueManager (Basemanager):

Pass

# get the corresponding queue from the network

Queuemanager.register ("get_queue_t")

Queuemanager.register ("Get_queue_rs")

# Connect to the server, which is the machine running task_master.py:

SERVER_IP = "127.0.0.1"

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

Manager = QueueManager (server_ip, address=, authkey=b "love8013") # Ensure that the port and key are consistent

# from the network connection

Manager.connect ()

# Get a Queue object accessed over the network

t = manager.get_queue_t ()

rs = Manager.get_queue_rs ()

Print ("1")

# read a task from the task queue and write results to the result queue

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. ')

Python Distributed Process Worker