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Re: Processing large CSV files - how to maximise throughput?

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On 24/10/2013 21:38, Victor Hooi wrote:

> Hi,
>
> We have a directory of large CSV files that we'd like to process in Python.
>
> We process each input CSV, then generate a corresponding output CSV file.
>
> input CSV -> munging text, lookups etc. -> output CSV
>
> My question is, what's the most Pythonic way of handling this? (Which I'm assuming 
>
> For the reading, I'd
>
>     with open('input.csv', 'r') as input, open('output.csv', 'w') as output:
>         csv_writer = DictWriter(output)
>         for line in DictReader(input):
>             # Do some processing for that line...
>             output = process_line(line)
>             # Write output to file
>             csv_writer.writerow(output)
>             
> So for the reading, it'll iterates over the lines one by one, and won't read it into memory which is good.
>
> For the writing - my understanding is that it writes a line to the file object each loop iteration, however, this will only get flushed to disk every now and then, based on my system default buffer size, right?
>
> So if the output file is going to get large, there isn't anything I need to take into account for conserving memory?

No, the system will flush so often that you'll never use much memory.

>
> Also, if I'm trying to maximise throughput of the above, is there anything I could try? The processing in process_line is quite line - just a bunch of string splits and regexes.

If you want help optimizing process_line(), you'd have to show us the
source.  For the regex, you can precompile it and not have to build it
each time.  Or just write the equivalent Python code, which many times
is faster than a regex.


>
> If I have multiple large CSV files to deal with, and I'm on a multi-core machine, is there anything else I can do to boost throughput?

Start multiple processes.  For what you're doing, there's probably no
point in multithreading.

And as always, in performance tuning, you never know till you measure.

-- 
DaveA

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Thread

Processing large CSV files - how to maximise throughput? Victor Hooi <victorhooi@gmail.com> - 2013-10-24 18:38 -0700
  Re: Processing large CSV files - how to maximise throughput? Dave Angel <davea@davea.name> - 2013-10-25 02:10 +0000
    Re: Processing large CSV files - how to maximise throughput? Steven D'Aprano <steve+comp.lang.python@pearwood.info> - 2013-10-25 03:35 +0000
      Re: Processing large CSV files - how to maximise throughput? Dave Angel <davea@davea.name> - 2013-10-25 03:57 +0000
      Re: Processing large CSV files - how to maximise throughput? Chris Angelico <rosuav@gmail.com> - 2013-10-25 17:13 +1100
      Re: Processing large CSV files - how to maximise throughput? Stefan Behnel <stefan_ml@behnel.de> - 2013-10-25 08:39 +0200
      Re: Processing large CSV files - how to maximise throughput? Chris Angelico <rosuav@gmail.com> - 2013-10-25 18:26 +1100
      Re: Processing large CSV files - how to maximise throughput? Dave Angel <davea@davea.name> - 2013-10-25 11:24 +0000
      Re: Processing large CSV files - how to maximise throughput? Chris Angelico <rosuav@gmail.com> - 2013-10-25 22:42 +1100
  Re: Processing large CSV files - how to maximise throughput? Steven D'Aprano <steve+comp.lang.python@pearwood.info> - 2013-10-25 03:19 +0000
  Re: Processing large CSV files - how to maximise throughput? Mark Lawrence <breamoreboy@yahoo.co.uk> - 2013-10-25 04:46 +0100
  Re: Processing large CSV files - how to maximise throughput? Dennis Lee Bieber <wlfraed@ix.netcom.com> - 2013-10-25 19:44 -0400
    Re: Processing large CSV files - how to maximise throughput? Roy Smith <roy@panix.com> - 2013-10-25 20:22 -0400
  Re: Processing large CSV files - how to maximise throughput? Walter Hurry <walterhurry@lavabit.com> - 2013-10-26 08:53 +0000

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