So when a query arrives, you know the query is only allowed to match either module:1 (analyzed terms) or module:2 (not analyzed) but never both? If so, you should be fine.
Though relevance will be sort of wonky, in case that matters, because you are polluting the unique term space; you would get different relevance results if you used two separate fields instead. Mike McCandless http://blog.mikemccandless.com On Fri, Nov 18, 2016 at 8:50 AM, Kumaran Ramasubramanian <kums....@gmail.com> wrote: > > > Yes. But am going to provide search for my single module alone, so query > will match only one type of document in any case. > > Here is how i use, append module:1 or module:2 in all queries i make. so > documents that matched module:1 will have only analyzed terms and module:2 > will have only not_analyzed terms. > > > > > -- > Kumaran R > > > > On Fri, Nov 18, 2016 at 7:04 PM, Michael McCandless > <luc...@mikemccandless.com> wrote: >> >> You can do this, Lucene will let you, but it's typically a bad idea >> for search relevance because some documents will return only if you >> search for precisely the same whole token, others if you search for an >> analyzed token, giving the user a broken experience. >> >> Mike McCandless >> >> http://blog.mikemccandless.com >> >> >> On Fri, Nov 18, 2016 at 6:00 AM, Kumaran Ramasubramanian >> <kums....@gmail.com> wrote: >> > Hi All, >> > >> > Can anyone say, is it advisable to have index with both analyzed and >> > not_analyzed values in one field? >> > >> > Use case: i have custom fields in my product which can be configured >> > differently ( ANALYZED and NOT_ANALYZED ) in different modules >> > >> > -- >> > Kumaran R >> > >> > >> > >> > >> > >> > On Wed, Oct 26, 2016 at 12:07 AM, Kumaran Ramasubramanian < >> > kums....@gmail.com> wrote: >> > >> >> >> >> >> >> Hi All, >> >> >> >> i have indexed 4 documents in an index where BANKNAME field is analyzed >> >> in two documents and it is not_analyzed in another two documents. i >> >> have >> >> mentioned search cases below where i am able to search using both >> >> analyzed >> >> ( using classic analyzer ) and not_analyzed ( using keyword analyzer ) >> >> terms. But, is it right to have index with both analyzed and >> >> not_analyzed >> >> values in a field? >> >> >> >> >> >> >> >> >> >> output: >> >> >> >> >> >> BANKNAME field of these two documents is analyzed >> >> >> >> using classic analyzer >> >> query : BANKNAME:"swiss bank" >> >> total hits:2 >> >> >> >> DocId:0 DocScore:1.6096026 >> >> [stored,indexed,tokenized<BANKNAME:swiss bank>, >> >> stored,indexed,tokenized<PLACENAME:swissland>, >> >> >> >> stored,indexed,tokenized,omitNorms,indexOptions=DOCS_ONLY<company:goog>] >> >> >> >> DocId:2 DocScore:1.6096026 >> >> [stored,indexed,tokenized<BANKNAME:swiss bank>, >> >> stored,indexed,tokenized<PLACENAME:swissland>, >> >> >> >> stored,indexed,tokenized,omitNorms,indexOptions=DOCS_ONLY<company:goog>] >> >> >> >> >> >> >> >> >> >> >> >> BANKNAME field of these two documents is not analyzed >> >> >> >> using keyword analyzer >> >> rrsk query : BANKNAME:swiss bank >> >> total hits:2 >> >> >> >> DocId:1 DocScore:1.287682 >> >> [stored,indexed,tokenized<BANKNAME:swiss bank>, >> >> stored,indexed,tokenized<PLACENAME:swiss>, >> >> stored,indexed,tokenized,omitN >> >> orms,indexOptions=DOCS_ONLY<company:goog>] >> >> >> >> DocId:3 DocScore:1.287682 >> >> [stored,indexed,tokenized<BANKNAME:swiss bank>, >> >> stored,indexed,tokenized<PLACENAME:swiss>, >> >> stored,indexed,tokenized,omitN >> >> orms,indexOptions=DOCS_ONLY<company:goog>] >> >> >> >> >> >> >> >> >> >> >> >> >> >> -- >> >> Kumaran R >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> > > --------------------------------------------------------------------- To unsubscribe, e-mail: java-user-unsubscr...@lucene.apache.org For additional commands, e-mail: java-user-h...@lucene.apache.org
