Karsten,
Thanks for the suggestion. After some research, payloads and
BoostingTermQuery is what we ended up using.
Thanks,
Murali
On Wed, Jan 28, 2009 at 2:13 AM, Karsten F.
<karsten-luc...@fiz-technik.de>wrote:
>
> Hi Murali,
>
> I think a search with 4 * 5 = 20 Boolean Clauses will not be a performance
> problem
> (at least if you have only one optimized index-folder).
>
> You also could use one Field which contains content of all other fields
> with
> a boost factor for each term (different boost for content from different
> fields).
> You can do this with payloads and the BoostingTermQuery.
> See e.g.
>
> http://www.nabble.com/Newbie-Question-on---Multi-valued-Keyword-field-search-td20987615.html
>
> But this has the drawback that you loss the original frequencies of the
> fields, so possible the scoring will not show want you want.
>
> Best regards
> Karsten
>
>
> Murali-7 wrote:
> >
> > Hi,
> >
> > We have documents with multiple fields conceptually, and a document
> is
> > considered a match if each of the terms in the query is in any one of the
> > fields(i.e a 'cross-field' AND). A simple way to do this would be to dump
> > all of these conceptual fields into one lucene field and do the query
> with
> > a
> > default AND_OPERATOR. However another requirement is that some fields are
> > more important than others and need to be boosted with different weights.
> > One option that I can think of is a MultiFieldQuery that essentially
> looks
> > like (field1:term1 OR field2:term1 OR field3:term1) AND (field1:term2 OR
> > field2:term2 OR field3:term2) etc with appropriate field boosts. However
> > I'm
> > concerned about the performance of this query for a large number of
> > terms(We
> > might need to deal with 4-5 fields and 4-5 terms per query). Is there a
> > better solution?
> >
> > Thanks,
> > Murali
> >
> >
>
> --
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>
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