How to decompress *.bz2 file in memory with python? The bz2 file comes from a csv file.
I use the code below to decompress it in memory, it works, but it brings some dirty data such as filename of the csv file and author name of it, is there any other better way to handle it?
#!/usr/bin/python
# -*- coding: utf-8 -*-
import StringIO
import bz2
with open("/app/tmp/res_test.tar.bz2", "rb") as f:
content = f.read()
compressedFile = StringIO.StringIO(content)
decompressedFile = bz2.decompress(compressedFile.buf)
compressedFile.seek(0)
with open("/app/tmp/decompress_test", 'w') as outfile:
outfile.write(decompressedFile)
I found this question, it is in gzip, however my data is in bz2 format, I try to do as instructed in it, but it seems that bz2 could not handle it in this way.
Edit:
No matter the answer of @metatoaster or the code above, both of them will bring some more dirty data into the final decompressed file.
For example: my original data is attached below and in csv format with the name res_test.csv:
Then I cd into the directory where the file is in and compress it with tar -cjf res_test.tar.bz2 res_test.csv
and get the compressed file res_test.tar.bz2, this file could simulate the bz2 data that I will get from internet and I wish to decompress it in memory without cache it into disk first, but what I get is data below and contains too much dirty data:
The data is still there, but submerged in noise, does it possible to decompress it into pure data just the same as the original data instead of decompress it and extract real data from too much noise?