Michaël Michaud wrote:
> One limitation of DataStore framework, as far as I experienced it, is
> that each time you zoom
> or pan, needed features are loaded into memory as if they were new 
> features (new fid), and you
> loose other features (features located out of the window) as if they had 
> never existed. This way,
> it is not possible to process a whole featurecollection.
> My vision woud be something between, with only references loaded into 
> memory (id and
> envelope) but references for every features of the featurecollection. 
> With a good cache system,
> it should make it possible to load much bigger datasets than with 
> in-memory loaders and
> caching should make it possible to keep reasonable performance.
> Even if it seems reasonable and feasable to me, until now, I could not 
> realize it (or only
> versions with terrible performance drawbacks :-( )
>
>   
Interesting.  Maybe....  show us  and let's see!

I don't think it would solve the billion-point problem, though, since 
point BBs are larger than the data.
> I agree that managing large dataset in a read/write mode is quite 
> difficult and needs a good
> framework to manage transactions (I think kosmo team did a good work 
> this way).
> But I think read-only datasets is also an interesting usecase, and is 
> not as difficult to manage
> as a read/write driver.
>   
Actually the DataStore framework *is* read-only right now. 
> Agile (alvaro zabala) wrote a good scalable shapefile driver in the 
> past. I could make it work
> with OJ after a minor modification, but I remember there were many 
> dependencies.
>   
Hmmm...  would be nice to have, but not if it means dragging in a pile 
of other JARs.  This can't be that difficult to create more-or-less 
standalone, surely?

-- 
Martin Davis
Senior Technical Architect
Refractions Research, Inc.
(250) 383-3022


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