Do I understand how to use a hash? Probably not. I was thinking this could be as simple as key/value pairs, with the value being an array. Maybe not the best approach. (I may look into using the value part as a pointer to an array, if I can't store the array in the value directly. The array would be a .csv file's data. This might be memory intensive, maybe not).

I think the simplest approach would be to continue with the DBI::CSV approach overall - the data is completely legible and editable; and maybe most important, something I can wrap my head around. The advantage here, as you pointed out, is that the data is fairly linear and not really related across tables; a flat file will do (at least for now).

I'll shift the question then: given multiple .csv files, how can I read them into one db? Do I need to play tricks with the database handle? Because if I can master that trick, I can use simple date naming to id the .csv file and any historical query we run can load the .csv's that match the date range. (That's what I thought I could do with the hash). Deletion of historical data on a date basis is really simple also.

I looked at the NetCDF but I think getting that to run on windows is going to be a bit of a PITA.

In reply to Re^4: More than one way to skin an architecture by mcoblentz
in thread More than one way to skin an architecture by mcoblentz

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