Is Python Suitable for Large Find & Replace Operations?
desertgarden at netscape.com
Tue Jun 14 04:10:10 CEST 2005
To give an example of processing a lot of data, I used Python to read
and process every word in a single text file that contained the entire
King James Bible version. It processed it within about one second --
split the words, etc. Worked quite well.
Hope this helps,
> Here's the scenario:
> You have many hundred gigabytes of data... possible even a terabyte or
> two. Within this data, you have private, sensitive information (US
> social security numbers) about your company's clients. Your company has
> generated its own unique ID numbers to replace the social security numbers.
> Now, management would like the IT guys to go thru the old data and
> replace as many SSNs with the new ID numbers as possible. You have a tab
> delimited txt file that maps the SSNs to the new ID numbers. There are
> 500,000 of these number pairs. What is the most efficient way to
> approach this? I have done small-scale find and replace programs before,
> but the scale of this is larger than what I'm accustomed to.
> Any suggestions on how to approach this are much appreciated.
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