Looking forward to the plugin. ;-)

On Nov 29, 10:05 pm, Thadeus Burgess <thade...@thadeusb.com> wrote:
> 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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