Actually, N-Grams scale very efficiently. I wrote a simple mp3 library
manager, that uses N-grams on the ID3 tags of my mp3 collection, which is
well over 60GB. Storing the N-gram of every song's ID3 only takes up roughly
1MB of RAM, if that. I would say for anything web2py would be used for,
N-gram based search would be kicken. (come to think of it, since I have the
n-gram code in python anyways, plugin time :P). Unless you store as much
data as a googlebot, I don't think you need to worry.

-Thadeus




On Sun, Nov 29, 2009 at 9:41 PM, mdipierro <mdipie...@cs.depaul.edu> wrote:

> You can but how well does it scale? to how many records? how long
> strings?
>
> On Nov 29, 5:23 pm, Richard <richar...@gmail.com> wrote:
> > to support full text search you can generate all the N-grams of each
> > record and then stored then in a StringListProperty:
> http://code.google.com/appengine/docs/python/datastore/typesandproper...
> >
> > On Nov 28, 6:20 am, vince <lapcc...@gmail.com> wrote:
> >
> > > i've notice the new DAL do support a form of LIKE on GAE.
> >
> > > anyone tried it and how's the performance? it seems to only support
> > > "startwith", what about "contain"?
> >
> > > is there any experimental  nosql database i can play with now besides
> > > GAE?
> >
> > > -vince
> >
> >
>
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