If I understand correctly, you wish to obtain the following for each file:

Where the files are distributed over six servers.

This probably depends upon how you are planning to collect all the data, but my personal approach would be to have a small script running on each of the six servers performing the hashing and sending each result back to a common collector. This assumes network connectivity.

I think it would be relatively easy to calculate the tuple of the five items for each server with a script and issue them over the network back to a central collection script. Each server can be hashing and issuing results simultaneously to the same collector.

While there may be a lot of data to hash, the actual results are going to be small. Therefore, as you know exactly what you are obtaining (the five items of data) I would just go the easiest route and throw them in a table in DBD::SQLite.

Then, once you have all the data in your DB, you can perform offline analysis as much as you want, relatively cheaply.

As a side note, I'd probably go with SHA-256 rather than MD5 as MD5 collisions are more common, and it's not that much more computationally expensive.

In reply to Re: Alternatives to DB for comparable lists by mxb
in thread Alternatives to DB for comparable lists by peterrowse

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