使用 Python 提取 tar 文件的最快方法 [英] Fastest way to extract tar files using Python

问题描述

我必须提取数百个 tar.bz 文件，每个文件大小为 5GB.所以尝试了以下代码:

I have to extract hundreds of tar.bz files each with size of 5GB. So tried the following code:

import tarfile
from multiprocessing import Pool

files = glob.glob('D:\\*.tar.bz') ##All my files are in D
for f in files:

   tar = tarfile.open (f, 'r:bz2')
   pool = Pool(processes=5)

   pool.map(tar.extractall('E:\\') ###I want to extract them in E
   tar.close()

但是代码有类型错误:类型错误:map() 至少需要 3 个参数(给定 2 个)

But the code has type error: TypeError: map() takes at least 3 arguments (2 given)

我该如何解决?还有其他加速提取的想法吗?

How can I solve it? Any further ideas to accelerate extracting?

推荐答案

您需要将 pool.map(tar.extractall('E:\\') 更改为类似 pool 的内容.map(tar.extractall(),"list_of_all_files")

You need to change pool.map(tar.extractall('E:\\') to something like pool.map(tar.extractall(),"list_of_all_files")

请注意，map() 需要 2 个参数，第一个是函数，第二个是可迭代的，然后将函数应用于可迭代的每个项目并返回结果列表.

Note that map() takes 2 argument first is a function , second is a iterable , and Apply function to every item of iterable and return a list of the results.

您需要将 TarInfo 对象传递给另一个进程:

Edit : you need to pass a TarInfo object into the other process :

def test_multiproc():
    files = glob.glob('D:\\*.tar.bz2')
    pool  = Pool(processes=5)
    result = pool.map(read_files, files)


def read_files(name):

 t = tarfile.open (name, 'r:bz2')
 t.extractall('E:\\')
 t.close()

>>>test_multiproc()

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