本文实例讲述了Python实现模拟分割大文件及多线程处理的方法。分享给大家供大家参考,具体如下:
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#!/usr/bin/env python
#--*-- coding:utf-8 --*--
from random import randint
from time import ctime
from time import sleep
import queue
import threading
class MyTask( object ):
"""具体的任务类"""
def __init__( self , name):
self .name = name
self ._work_time = randint( 1 , 5 )
def work( self ):
print ( "Task %s is start : %s, sleep time= %d" % ( self .name, ctime(), self ._work_time))
sleep( self ._work_time)
print ( "Task %s is end : %s" % ( self .name, ctime()))
class MyThread(threading.Thread):
"""多线程的类"""
def __init__( self , my_queue):
self .my_queue = my_queue
super (MyThread, self ).__init__()
def run( self ):
while True :
if self .my_queue.qsize() > 0 :
self .my_queue.get().work()
else :
break
def print_split_line(num = 30 ):
print ( "*" * num)
if __name__ = = "__main__" :
print_split_line()
import my_read_file
# 分割文件
sf = my_read_file.SplitFiles(r "F:\multiple_thread_read_file.txt" , line_count = 300 )
file_num = sf.split_file()
queue_length = file_num
my_queue = queue.LifoQueue(queue_length)
threads = []
for i in range (queue_length):
file_name = sf.get_part_file_name(i)
mt = MyTask(file_name)
my_queue.put_nowait(mt)
for i in range (queue_length):
mtd = MyThread(my_queue)
threads.append(mtd)
for i in range (queue_length):
threads[i].start()
for i in range (queue_length):
threads[i].join()
print_split_line()
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希望本文所述对大家Python程序设计有所帮助。
原文链接:http://blog.csdn.net/zhang_red/article/details/9056139