I need to make a data structure for a query such as "find everything
that is priced $3.27 - $6.12" (and perhaps sum up the total revenue
for all items in that price range).  The naive way would be to make an
array with one slot for each increment in the entire range, and have
each slot pointing to a bucket with all items at that increment (here,
price).  But this would not be terribly efficient or feasible over
very large ranges (imagine you wanted to query both large and small
ranges: think of distances on a galactic, planetary, continental,
city, human, etc. scale.  Do you make multiple indices for coarse-
grained and small-grained queries?  Do you have coarse-grained slots
pointing to smaller ranges, and so on ad infinitum?  But that would
seem to make evaluating large ranges very inefficient).  Is there a
cleverer/Clojurisher way to do it?  The price example is what I'm
doing, so I don't really need a galactiscalable data structure....

Thanks-----

Nick

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