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The data would be offline, i.e. on the user's computer.
I realize that speed depends on the specs and the implementation, but it should be possible to give a ballpark estimate of some sort. I.e. let's assume a there are 15 million records with a 100 characters in each (in the field that we're searching). I look up a 10-character string. There are 1000 hits. How much time would it take for those 1000 hits to be found if the database design and implementation is not particulary well optimized? 0.01 second? 1 second? 5 seconds?

Regarding file size, sure, it depends, but again, I'm looking for a ballpark. If the source data is 8GB of UTF-8 text, what are we looking at? More than the 8GB or less (due to some internal compression the DB format might use). Could one throw away the original text files after importing?

Re: Solr, it has a lot of the features I would want (optimized for text search, regex and sounds-like filters, hit highligting), but it looks like it's designed to run on a server, not offline.

In reply to Re^2: Writing a database lookup tool by elef
in thread Writing a database lookup tool by elef

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    [Corion]: haukex: Yes, but if it's only supposed to run on my machine, I can be far more liberal with how I extract the code etc.
    [Corion]: haukex: Yes - I see the benefit of using Dist::Zilla for people with 150+ modules on CPAN, but I don't see it for myself, and I'm always put off from contributing to such modules because they require a lot of toolchain setup that I don't want to ...
    [Corion]: ... spend time on if I only want to provide a short patch
    [haukex]: Corion: Yes exactly, in the author tests I don't worry about portability as much, I also don't list the author tests' dependencies in Makefile.PL
    [haukex]: I figure someone who wants to contribute will know how to install the missing modules ;-) Not the nicest way to go but I don't think many people are using my modules yet

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