Hi all, 

Would like to know if there are any of you guys ever tried to use space 
filling curve like Hilbert curve to build index for multiple inequality 
filters. 

Seems like for any continuous field like long or date, the number of ranges 
(to be merged) to perform a accurate query is increasing rapidly, which 
makes this approach not scale. 

Any thought? or shall I build / model like this 
sample<http://code.google.com/appengine/articles/geosearch.html> app? 
Query by partitions of all data and do an in-memory merge?

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