Is Python Suitable for Large Find & Replace Operations?
rbt
rbt at athop1.ath.vt.edu
Thu Jun 16 09:34:45 EDT 2005
On Tue, 2005-06-14 at 19:51 +0200, Gilles Lenfant wrote:
> rbt a écrit :
> > 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.
>
> Are this huge amount of data to rearch/replace stored in an RDBMS or in
> flat file(s) with markup (XML, CSV, ...) ?
>
> --
> Gilles
The data is in files. Mostly Word documents and excel spreadsheets. The
SSN map I have is a plain text file that has a format like this:
ssn-xx-xxxx new-id-xxxx
ssn-xx-xxxx new-id-xxxx
etc.
There are a bit more than 500K of these pairs.
Thank you,
rbt
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