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()
But the code has type error: TypeError: map() takes at least 3 arguments (2 given)
How can I solve it? Any further ideas to accelerate extracting?
You need to change pool.map(tar.extractall('E:\\')
to something like pool.map(tar.extractall(),"list_of_all_files")
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.
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()