I want to quickly bzip2 compress several hundred gigabytes of data
using my 8 core , 16 GB ram workstation.
Currently I am using a simple python script to compress a whole
directory tree using bzip2 and a system call coupled to an os.walk
call.
I see that the bzip2 only uses a single cpu while the other cpus
remain relatively idle.
I am a newbie in queue and threaded processes . But I am wondering how
I can implement this such that I can have four bzip2 running threads
(actually I guess os.system threads ), each using probably their own
cpu , that deplete files from a queue as they bzip them.
Thanks for your suggestions in advance
hari
My single thread script is pasted here .
import os
import sys
for roots, dirlist , filelist in os.walk(os.curdir):
for file in [os.path.join(roots,filegot) for filegot in filelist]:
if "bz2" not in file:
print "Compressing %s" % (file)
os.system("bzip2 %s" % file)
print ":DONE"
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