python 多线程大文件_Python实现模拟分割大文件及多线程处理的方法

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：

#!/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()

希望本文所述对大家Python程序设计有所帮助。