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 > > -- View this message in context: http://www.nabble.com/cross-field-AND-queries-with-field-boosting-tp21661099p21703051.html Sent from the Lucene - Java Users mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
