Here's kind of an interesting post on a similar subject:

http://labs.metacarta.com/blog/27.entry/geographic-queries-on-google-app-engine/

<http://labs.metacarta.com/blog/27.entry/geographic-queries-on-google-app-engine/>Your
problem may be best solved by geohash. I'd search for more tutorials about
Geohash and App Engine. Someone on the Google Geo API team wrote an article
on it, but I don't have the link ready.

StackOverflow discussion:

http://stackoverflow.com/questions/2060219/google-app-engine-geohashing

On Wed, Feb 24, 2010 at 12:45 AM, megaswin <[email protected]> wrote:

> Hi guys,
>
> I've got a small question. I have a database where I store information
> about houses and now I want to be able to find all houses that meet
> these criteria :
> size is more than 150sm and less than 200sm, price is in range [200K ,
> 250K], located in this bounds [GeoPoint northWest, GeoPoint
> southEast]. So am I right in thinking that i'm in big trouble. Is
> there a cure? I have only one idea : extract all entries from db and
> then filter these entries "maually". My db can contain up to 50K
> entries, so in your opinion, is it normal to parse such nuber of
> objects inside http request? any thought?
>
> Thanks.
> Maxim
>
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-- 
Ikai Lan
Developer Programs Engineer, Google App Engine
http://googleappengine.blogspot.com | http://twitter.com/app_engine

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