Python3并发写文件与Python对比
这篇文章主要介绍了Python3并发写文件原理解析,文中通过示例代码介绍的非常详细,对大家的学习或者工作具有一定的参考学习价值,需要的朋友可以参考下
使用python2在进行并发写的时候,发现文件会乱掉,就是某一行中间会插入其他行的内容。
但是在使用python3进行并发写的时候,无论是多进程,还是多线程,都没有出现这个问题,难道是python3的特性吗?
import time
import os
import multiprocessing
from multiprocessing.dummy import Pool as ThreadPool
def write(val, file):
w = open(file, "a")
for i in range(100):
w.write("%s\n" % val)
time.sleep(0.001)
def thread_write(file):
res, pools = [], ThreadPool(10)
for i in range(10):
val = str(i) * 1000
res.append(pools.apply_async(func=write, args=(val, file, )))
while res:
for ret in res:
if ret.ready():
res.remove(ret)
time.sleep(0.01)
def mutil_write(file):
pools = multiprocessing.Pool(processes=10)
res = []
for i in range(100):
res.append(pools.apply_async(thread_write, args=(file, )))
while res:
for ret in res:
if ret.ready():
res.remove(ret)
time.sleep(0.01)
if __name__ == '__main__':
file = "./write_test"
mutil_write(file)
with open(file) as fb:
lines = 0
line_len = []
for line in fb:
lines += 1
line = line.strip()
line_len.append(len(line))
if len(line) != 1000:
raise(Exception("error line: %s, len: %d" % (line, len(line))))
print("lines:%d, max len:%d, min:%d, avg:%.2f" % (lines, max(line_len), min(line_len), sum(line_len)/len(line_len)))
os.remove(file)上面代码,多进程并发写结束后,校验每一行的长度是否是设置好的长度。用python3反复运行,均通过测试没有异常。
$ python3 --version Python 3.7.4 $ python3 t.py lines:10000, max len:1000, min:1000, avg:1000.00
如果用python2,则会出现异常:
$ python2 --version
Python 2.7.15
$ python2 t.py
Traceback (most recent call last):
File "t.py", line 49, in <module>
raise(Exception("error line: %s, len: %d" % (line, len(line))))
Exception: error line: 333333333333333333333333333333333333333333333333333333333333333333333333333333333333333333330000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000, len: 1092 相关推荐
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