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. -- http://mail.python.org/mailman/listinfo/python-list
