Yes It Does Depending On The Code etc.

On 12/04/2008, lock <[EMAIL PROTECTED]> wrote:
>
> I've been desperately trying to optimise my code to get rid of those
> 'High CPU' requests.  Some changes worked others didn't, in the end
> I've really only gained a marginal improvement.  So I'm now
> considering some significant structural changes and are wondering if
> anyone has tried something similar and can share their experience.
>
> The apps pretty simple it just geo-tags data points using the geoHash
> algorithm, so basically each entry in the table is the geoHash of the
> given lat/long with some associated meta data.  Queries are then done
> by a bounding box that is also geohashed and used as datastore query
> filters.  Due do some idiosyncrasies with using geoHash, any given
> query may be split into up to 8 queries (by lat 90,0,-90   by long 180
> 90, 0, -90, 180), but generally the bounds fall into only one/two
> division(s) and therefore only result in one datastore query.
>
> All these queries are currently conducted on the one large datastore,
> I'm wondering if it would be more efficient to break down this one
> datastore into 8 separate tables (all containing the same type) and
> query the table relevant to the current bounding box.
>
> In summary I guess what I'm trying to ask is (sorry for the ramble),
> does the query performance degrade significantly as the size of the
> database increases?
>
>
> >
>


-- 
Xavier A. Mathews
Student/Browser Specialist/Developer/Web-Master
Google Group Client Based Tech Support Specialist
Hazel Crest Illinois
[EMAIL PROTECTED]@[EMAIL PROTECTED]
"Fear of a name, only increases fear of the thing itself."

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