What analyzers are you using for both indexing and querying? Have you looked at your index with Luke to see what's actually in the index? The reason I'm asking is I'm wondering whether you are having capitalization issues. That is, your index analyzer lower cases the tokens and your query analyzer doesn't, or vice-versa...
And Query.toString is your friend too <G>. Best Erick On Tue, Jun 24, 2008 at 8:40 PM, Chris Lu <[EMAIL PROTECTED]> wrote: > Yonik, Thanks for your quick reply! > > But I found after backslash escape spaces, both > tags:San\ Francisco > tags:"San\ Francisco" > turns into PhraseQuery, just like tags:"San Francisco", still no results > returned. > > Maybe Lucene Query Parser does not handle this case? > > -- > Chris Lu > ------------------------- > Instant Scalable Full-Text Search On Any Database/Application > site: http://www.dbsight.net > demo: http://search.dbsight.com > Lucene Database Search in 3 minutes: > > http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes > DBSight customer, a shopping comparison site, (anonymous per request) got > 2.6 Million Euro funding! > > On Tue, Jun 24, 2008 at 5:26 PM, Yonik Seeley <[EMAIL PROTECTED]> wrote: > > > You can backslash escape spaces, so these should both work: > > tags:San\ Francisco > > tags:"San\ Francisco" > > > > -Yonik > > > > On Tue, Jun 24, 2008 at 8:14 PM, Chris Lu <[EMAIL PROTECTED]> wrote: > > > I have a tags field. And each tag can have multiple words, like "San > > > Francisco". Each tag is analyzed into Keyword field like this > > > new Field("tags", "San Francisco",Field.Store.YES, > > > Field.Index.UN_TOKENIZED) > > > > > > It should be searchable if using TermQuery directly, like > > > new TermQuery(new Term("tags", "San Francisco")) > > > > > > But how to achieve this via Lucene Query Parser? If using > > > tags:"San Francisco" > > > It's considered a phrase, and turned into term search of tags:San and > > > tags:Francisco, which will not return results. > > > > > > Thanks for any advice! > > > > > > -- > > > Chris Lu > > > ------------------------- > > > Instant Scalable Full-Text Search On Any Database/Application > > > site: http://www.dbsight.net > > > demo: http://search.dbsight.com > > > Lucene Database Search in 3 minutes: > > > > > > http://wiki.dbsight.com/index.php?title=Create_Lucene_Database_Search_in_3_minutes > > > DBSight customer, a shopping comparison site, (anonymous per request) > got > > > 2.6 Million Euro funding! > > > > > > > --------------------------------------------------------------------- > > To unsubscribe, e-mail: [EMAIL PROTECTED] > > For additional commands, e-mail: [EMAIL PROTECTED] > > > > >
