Python equivalent of piping file output to gzip in Perl using a pipe

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南方客
南方客 2021-02-14 02:13

I need to figure out how to write file output to a compressed file in Python, similar to the two-liner below:

open ZIPPED, \"| gzip -c > zipped.gz\";
print ZI         


        
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  • 2021-02-14 02:17

    Make sure you use the same compression level when comparing speeds. By default, linux gzip uses level 6, while python uses level 9. I tested this in Python 3.6.8 using gzip version 1.5, compressing 600MB of data from MySQL dump. With default settings:

    python module takes 9.24 seconds and makes a file 47.1 MB
    subprocess gzip takes 8.61 seconds and makes a file 48.5 MB

    After changing it to level 6 so they match:
    python module takes 8.09 seconds and makes a file 48.6 MB
    subprocess gzip takes 8.55 seconds and makes a file 48.5 MB

    # subprocess method
    start = time.time()
    with open(outfile, 'wb') as f:
        subprocess.run(['gzip'], input=dump, stdout=f, check=True)
    print('subprocess finished after {:.2f} seconds'.format(time.time() - start))
    
    # gzip method
    start = time.time()
    with gzip.open(outfile2, 'wb', compresslevel=6) as z:
        z.write(dump)
    print('gzip module finished after {:.2f} seconds'.format(time.time() - start))
    
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  • 2021-02-14 02:18

    ChristopheD's suggestion of using the subprocess module is an appropriate answer to this question. However, it's not clear to me that it will solve your performance problems. You would have to measure the performance of the new code to be sure.

    To convert your sample code:

    import subprocess
    
    p = subprocess.Popen("gzip -c > zipped.gz", shell=True, stdin=subprocess.PIPE)
    p.communicate("Hello World\n")
    

    Since you need to send large amounts of data to the sub-process, you should consider using the stdin attribute of the Popen object. For example:

    import subprocess
    
    p = subprocess.Popen("gzip -c > zipped.gz", shell=True, stdin=subprocess.PIPE)
    p.stdin.write("Some data")
    
    # Write more data here...
    
    p.communicate() # Finish writing data and wait for subprocess to finish
    

    You may also find the discussion at this question helpful.

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  • 2021-02-14 02:30

    In addition to @srgerg's answer I want to apply same approach by disabling shell option shell=False, which is also done on @Moishe Lettvin's answer and recommended on (https://stackoverflow.com/a/3172488/2402577).

    import subprocess
    def zip():
        f = open("zipped.gz", "w")
        p1 = subprocess.Popen(["echo", "Hello World"], stdout=subprocess.PIPE)
        p2 = subprocess.Popen(["gzip", "-9c"], stdin=p1.stdout, stdout=f)
        p1.stdout.close()
        p2.communicate()
        f.close()
    

    Please not that originally I am using this p1s output for git diff as:

    p1 = subprocess.Popen(["git", "diff"], stdout=subprocess.PIPE)

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  • 2021-02-14 02:36

    Try something like this:

    from subprocess import Popen, PIPE
    f = open('zipped.gz', 'w')
    pipe = Popen('gzip', stdin=PIPE, stdout=f)
    pipe.communicate('Hello world\n')
    f.close()
    
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  • 2021-02-14 02:39

    Using the gzip module is the official one-way-to-do-it and it's unlikely that any other pure python approach will go faster. This is especially true because the size of your data rules out in-memory options. Most likely, the fastest way is to write the full file to disk and use subprocess to call gz on that file.

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