By bloid
via feedblog.org
Published: Mar 24 2008 / 10:29
In the past I’ve often used in-memory data structures (vs on disk) in situations where allocating say 5-10MB of data in the local VM is much better than continually hitting a database.
This has only worked because I’m not using very large data structures. My language classification codes uses about 8MB of memory stored in a TreeMap for it’s trained corpus based on Wikipedia.
Recently, I’ve been playing with a much larger corpus for a new feature for Spinn3r.
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Comments
bloviatexjs replied ago:
Well, I'd like to see the benchmarks.
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