This is really not the use-case faceting is designed for, I don't think
there's really any good way to speed this case up. What is the higher-level
issue you're trying to solve? Perhaps there's a better way to do it.
I'm not sure why you think altering the cache settings would help, they're
really pretty irrelevant to the faceting....
Best
Erick
On Tue, Dec 4, 2012 at 12:45 AM, Andreas Niekler <
aniek...@informatik.uni-leipzig.de> wrote:
> Dear List,
>
> i have an index with 2.000.000 articles. All those texts get tokenized
> while indexing. On this data i run a faceted query like this (to receive
> associated words):
>
> select?q=a_spell:{some word}&facet.method=enum&facet=**
> true&facet.field=Paragraph&**facet.limit=10&facet.prefix={**some
> prefix}&facet.mincount=1500&**indent=1&fl=_id&wt=json&rows=**0'
>
>
> I have more than 5.000.000 unique token in the index and the facet query
> is quite slow. I also tried differnt FastLRUcache Settings in the
> FilterCache.
>
> Has Anybody a hint how i could improve performance within this setup?
>
> Thnak you all
>
> --
> Andreas Niekler, Dipl. Ing. (FH)
> NLP Group | Department of Computer Science
> University of Leipzig
> Johannisgasse 26 | 04103 Leipzig
>
> mail:
> aniek...@informatik.uni-**leipzig.deg.de<aniek...@informatik.uni-leipzig.deg.de>
>
