Well, Solr officially uses Lucene, but you'll do disappointingly little Java coding. Which some people think is a plus :).
The biggest issue will be making really, really sure that your schema.xml file in Solr reflects your use in the Lucene code Actually, I'd swallow the blue pill and just make the leap to Solr. I'd hazard the guess that it really depends upon the amount of customized Lucene code you've written in the analyzers/tokenizers area. But even those are pretty transferable to Solr as plugins. Your Lucene background will help a lot when using Solr, BTW... As to your second question, you could just grab the Solr code and see if you can use/adapt the suggester code.... I confess I have no idea what that involves, haven't been in that code.. I made the Lucene->Solr transition, and found after a while that I didn't really want to go back FWIW. Best Erick On Thu, May 5, 2011 at 2:26 AM, Clemens Wyss <clemens...@mysign.ch> wrote: > What I am looking for is the autosuggestion implemented here (@solr) > > http://search-lucene.com/m/0QBv41ssGlh/suggestion&subj=Auto+Suggest > > How "easily" can I switch from plain Lucene to Solr? > Or (even better), can I just make use of "solr-suggestion"? > > Clemens > >> -----Ursprüngliche Nachricht----- >> Von: Otis Gospodnetic [mailto:otis_gospodne...@yahoo.com] >> Gesendet: Mittwoch, 4. Mai 2011 22:00 >> An: java-user@lucene.apache.org >> Betreff: Re: AW: AW: AW: AW: "fuzzy prefix" search >> >> We do have EdgeNGramTokenizer if that is what you are after. >> See how Solr uses it here: >> http://search- >> lucene.com/c/Solr:/src/java/org/apache/solr/analysis/EdgeNGramTokenizer >> Factory.java||EdgeNGramTokenizer >> >> >> Otis >> ---- >> Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch Lucene ecosystem >> search :: http://search-lucene.com/ >> >> >> >> ----- Original Message ---- >> > From: Clemens Wyss <clemens...@mysign.ch> >> > To: "java-user@lucene.apache.org" <java-user@lucene.apache.org> >> > Sent: Wed, May 4, 2011 2:07:40 AM >> > Subject: AW: AW: AW: AW: "fuzzy prefix" search >> > >> > I know this is just an example. >> > But even the WhitespaceAnalyzer takes the words apart, which I don't >> >want. I would like the phrases as they are (maximum 3 words, e.g. >> >"Merlot del Ticino", >> >...) to be n-gram-ed. I hence want to have the n-grams. >> > Mer >> > Merl >> > Merlo >> > Merlot >> > Merlot >> > Merlot d >> > ... >> > >> > Regards >> > Clemens >> > > -----Ursprüngliche Nachricht----- >> > > Von: Otis Gospodnetic [mailto:otis_gospodne...@yahoo.com] >> > > Gesendet: Dienstag, 3. Mai 2011 23:12 >> > > An: java-user@lucene.apache.org >> > > Betreff: Re: AW: AW: AW: "fuzzy prefix" search >> > > >> > > Clemens - that's just an example. Stick another tokenizer in >> > > there, like WhitespaceTokenizer in there, for example. >> > > >> > > Otis >> > > ---- >> > > Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch Lucene >> > > ecosystem search :: http://search-lucene.com/ >> > > >> > > >> > > >> > > ----- Original Message ---- >> > > > From: Clemens Wyss <clemens...@mysign.ch> >> > > > To: "java-user@lucene.apache.org" <java-user@lucene.apache.org> >> > > > Sent: Tue, May 3, 2011 4:31:14 PM >> > > > Subject: AW: AW: AW: "fuzzy prefix" search >> > > > >> > > > But doesn't the KeyWordTokenizer extract single words out oft he >> > > >stream? I would like to create n-grams on the stream (field >> > > >content) as >> it >> > > is... >> > > > >> > > > > -----Ursprüngliche Nachricht----- >> > > > > Von: Otis Gospodnetic [mailto:otis_gospodne...@yahoo.com] >> > > > > Gesendet: Dienstag, 3. Mai 2011 21:31 >> > > > > An: java-user@lucene.apache.org >> > > > > Betreff: Re: AW: AW: "fuzzy prefix" search >> > > > > >> > > > > Clemens, >> > > > > >> > > > > Something a la: >> > > > > >> > > > > public TokenStream tokenStream (String fieldName, Reader r) { >> > > > > return nw EdgeNGramTokenFilter(new KeywordTokenizer(r), >> > > > > EdgeNGramTokenFilter.Side.FRONT, 1, 4); } >> > > > > >> > > > > >> > > > > Check out page 265 of Lucene in Action 2. >> > > > > >> > > > > Otis >> > > > > ---- >> > > > > Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch >> > > > > Lucene ecosystem search :: http://search-lucene.com/ >> > > > > >> > > > > >> > > > > >> > > > > ----- Original Message ---- >> > > > > > From: Clemens Wyss <clemens...@mysign.ch> >> > > > > > To: "java-user@lucene.apache.org" <java- >> u...@lucene.apache.org> >> > > > > > Sent: Tue, May 3, 2011 12:57:39 PM >> > > > > > Subject: AW: AW: "fuzzy prefix" search >> > > > > > >> > > > > > How does an simple Analyzer look that just "n-grams" the >> >docs/fields. >> > > > > > >> > > > > > class SimpleNGramAnalyzer extends Analyzer { @Override >> > > > > > public TokenStream tokenStream ( String fieldName, Reader >> reader ) >> > > > > > { >> > > > > > EdgeNGramTokenFilter... ??? >> > > > > > } >> > > > > > } >> > > > > > >> > > > > > > -----Ursprüngliche Nachricht----- >> > > > > > > Von: Otis Gospodnetic [mailto:otis_gospodne...@yahoo.com] >> > > > > > > Gesendet: Dienstag, 3. Mai 2011 13:36 > > > > An: >> > > java-user@lucene.apache.org > > > > Betreff: Re: AW: "fuzzy >> > > prefix" search > > > > >> > > > > > > Hi, >> > > > > > > >> > > > > > > I didn't read this thread closely, but just in case: >> > > > > > > * Is this something you can handle with synonyms? >> > > > > > > * If this is for English and you are trying to handle typos, >> > > > > > > there is a >> > > >list >> > > > > >of >> > > > > > > common English misspellings out there that you could use >> > > > > for >> > > > > > > this >> > > > > perhaps. >> > > > > > > * Have you considered n-gramming your tokens? Not sure if >> > > > > > > this would >> > > > > help, >> > > > > > > didn't read messages/examples closely enough, but you may >> > > > > > > want to >> > > > > look at >> > > > > > > this if you haven't done so yet. >> > > > > > > >> > > > > > > Otis >> > > > > > > ---- >> > > > > > > Sematext :: http://sematext.com/ :: Solr - Lucene - Nutch >> > > > > Lucene ecosystem >> > > > > > > search :: http://search-lucene.com/ >> > > > > > > >> > > > > > > >> > > > > > > >> > > > > > > ----- Original Message ---- >> > > > > > > > From: Clemens Wyss <clemens...@mysign.ch> >> > > > > > > > To: "java-user@lucene.apache.org" <java- >> > > u...@lucene.apache.org> >> > > > > > > > Sent: Tue, May 3, 2011 5:25:30 AM > > > > Subject: >> > > > AW: "fuzzy prefix" search > > > > >> > > > > > > > >PrefixQuery >> > > > > > > > I'd like the combination of prefix and fuzzy ;-) because >> > > > > > > > people >> > > >could >> > > > > > > >also type "menlo" or "märl" and in any of these cases I'd >> > > > > > > like to >> > > >get >> > > > > > > >a hit on Merlot (for suggesting Merlot) >> > > > > > > > >> > > > > > > > > -----Ursprüngliche Nachricht----- >> > > > > > > > > Von: Ian Lea [mailto:ian....@gmail.com] >> > > > > > > > > Gesendet: Dienstag, 3. Mai 2011 11:22 > An: >> > > > > > > > java-user@lucene.apache.org >> > > > > > > > > Betreff: Re: "fuzzy prefix" search >> > > > > > > > > >> > > > > > > > > I'd assumed that FuzzyQuery wouldn't ignore case >> > > > > > but I >> > > > > > > could be >> > > > > wrong. >> > > > > > > > > What would be the edit distance between "mer" and >> >"merlot"? >> > > > > Would >> > > > > > > > > it be less that 1.5 which I reckon would be the value of >> > > > > > > > > length(term)*0.5 as detailed in the javadocs? Seems >> > > > > > > > > unlikely, >> > > >but >> > > > > > > > > I don't really know anything about the Levenshtein (edit >> > > distance) >> > > > > > > algorithm as used by FuzzyQuery. >> > > > > > > > > Wouldn't a PrefixQuery be more appropriate here? >> > > > > > > > > >> > > > > > > > > >> > > > > > > > > -- >> > > > > > > > > Ian. >> > > > > > > > > >> > > > > > > > > On Tue, May 3, 2011 at 10:10 AM, Clemens Wyss >> > > > > > > > > <clemens...@mysign.ch> >> > > > > > > > > wrote: >> > > > > > > > > > Unfortunately lowercasing doesn't help. >> > > > > > > > > > Also, doesn't the FuzzyQuery ignore casing? >> > > > > > > > > > >> > > > > > > > > >> -----Ursprüngliche Nachricht----- >> > > > > > > > > >> Von: Ian Lea [mailto:ian....@gmail.com] >> > > > > > > > > >> Gesendet: Dienstag, 3. Mai 2011 11:06 > > > >> >> > > > > > An: java-user@lucene.apache.org >> > > > > > > > > >> Betreff: Re: "fuzzy prefix" search >> > > > > > > > > >> >> > > > > > > > > >> Mer != mer. The latter will be what is indexed >> > > > > > > > > because >> > > > > > > > > >> StandardAnalyzer calls LowerCaseFilter. >> > > > > > > > > >> >> > > > > > > > > >> -- >> > > > > > > > > >> Ian. >> > > > > > > > > >> >> > > > > > > > > >> >> > > > > > > > > >> On Tue, May 3, 2011 at 9:56 AM, Clemens Wyss >> > > > > > > > > <clemens...@mysign.ch> >> > > > > > > > > >> wrote: >> > > > > > > > > >> > Sorry for coming back to my issue. Can anybody >> > > > > > > > > >> explain why >> > > >my >> > > > > > > > > "simple" >> > > > > > > > > >> unit test below fails? Any hint/help appreciated. >> > > > > > > > > >> > >> > > > > > > > > >> > Directory directory = new RAMDirectory(); >> > > > > > > > > >> IndexWriter >> > > > > > > > > >> > indexWriter = new IndexWriter( directory, new >> > > > > > > > > >> > StandardAnalyzer( >> > > > > > > > > Version.LUCENE_31 >> > > > > > > > > >> > ), IndexWriter.MaxFieldLength.UNLIMITED ); >> Document >> > > > > document >> > > > > > > = >> > > > > > > > > new >> > > > > > > > > >> > Document(); document.add( new Field( "test", >> "Merlot", >> > > > > > > > > >> > Field.Store.YES, Field.Index.ANALYZED ) ); >> > > > > > > > > >> > indexWriter.addDocument( >> > > > > > > > > >> > document ); IndexReader indexReader = >> > > > > > > > > indexWriter.getReader(); >> > > > > > > > > >> > IndexSearcher searcher = new IndexSearcher( >> > > > > > > indexReader ); >> > > > > > > > > >> > Query q = new FuzzyQuery( new Term( "test", "Mer" >> ), >> > > 0.5f, >> > > >0, >> > > > > > > > > >> > 10 ); // or Query q = new FuzzyQuery( new >> > > > > Term( >> > > > > > > > > >> > "test", >> > > "Mer" >> > > > > > > > > >> > ), 0.5f); TopDocs result = searcher.search( q, >> > > > > > 10 >> > > > > > ); >> > > > > > > > > >> > Assert.assertEquals( 1, result.totalHits ); >> > > > > > > > > >> > >> > > > > > > > > >> > - Clemens >> > > > > > > > > >> > >> > > > > > > > > >> >> -----Ursprüngliche Nachricht----- >> > > > > > > > > >> >> Von: Clemens Wyss [mailto:clemens...@mysign.ch] >> > > > > > > > > >> >> Gesendet: Montag, 2. Mai 2011 23:01 >> > > > > > > > > >> >> An: java-user@lucene.apache.org >> > > > > > > > > >> >> Betreff: AW: "fuzzy prefix" search >> > > > > > > > > >> >> >> > > > > > > > > >> >> Is it the combination of FuzzyQuery and Term >> > > > > > which >> > > > > > makes >> > > >the >> > > > > > > > > >> >> search to go for "word boundaries"? >> > > > > > > > > >> >> >> > > > > > > > > >> >> > -----Ursprüngliche Nachricht----- >> > > > > > > > > >> >> > Von: Clemens Wyss >> > > > > > > > > [mailto:clemens...@mysign.ch] >> > > > > > > > > >> >> > Gesendet: Montag, 2. Mai 2011 14:13 >> > > > > > > > > >> >> > An: java-user@lucene.apache.org >> > > > > > > > > >> >> > Betreff: AW: "fuzzy prefix" search >> > > > > > > > > >> >> > >> > > > > > > > > >> >> > I tried this too, but unfortunately I only >> > > > > > > > > get >> > > > > > > > > >> hits when >> > > > > > > > > >> >> > the search term is a least as long as the word >> > > to >> >be >> > > >looked >> > > > > up. >> > > > > > > > > >> >> > >> > > > > > > > > >> >> > E.g.: >> > > > > > > > > >> >> > ... >> > > > > > > > > >> >> > Directory directory = new RAMDirectory(); >> >IndexWriter >> > > > > > > > > >> >> > indexWriter = new IndexWriter( directory, >> >> > > >> >> > > > > > > > > > IndexManager.getIndexingAnalyzer( >> > > > > > > > > >> >> LOCALE_DE ), >> > > > > > > > > >> >> > >> > > IndexWriter.MaxFieldLength.UNLIMITED >> >); >> > > > > > > > > >> >> > >> > > > > > > > > >> >> > Document document = new Document(); >> > > document.add( >> > > > > new >> > > > > > > > > Field( >> > > > > > > > > >> >> > "test", "Merlot", >> > > > > > > > > >> >> > Field.Store.YES, >> > > Field.Index.ANALYZED >> >) ); >> > > > > > > > > >> >> indexWriter.addDocument( >> > > > > > > > > >> >> > document ); >> > > > > > > > > >> >> > >> > > > > > > > > >> >> > IndexReader indexReader = >> indexWriter.getReader(); >> > > > > > > > > >> >> > IndexSearcher >> > > > > > > > > >> >> > searcher = new IndexSearcher( indexReader ); >> > > > > > > > >> >> > > > > > > > >> > >> > > > > > > > > >> >> > Query q = new FuzzyQuery( new Term( "test", >> "Mer" >> ), >> > > >0.6f, >> > > > > > > > > >> >> > 1 ); TopDocs result = searcher.search( q, 10 ); >> > > > > > > > > >> >> > Assert.assertEquals( >> >> > 1, >> > > > > > > > > >> >> result.totalHits ); ... >> > > > > > > > > >> >> > >> > > > > > > > > >> >> > > -----Ursprüngliche Nachricht----- >> > > > > > > > > >> >> > > Von: Uwe Schindler [mailto:u...@thetaphi.de] >> > > > > > > > >> >> > > > > > > > > >> > > Gesendet: Montag, 2. Mai 2011 13:50 >> >> > > >> > > > An: >> > > > > > > > > java-user@lucene.apache.org >> > > > > > > > > >> >> > > Betreff: RE: "fuzzy prefix" search >> > > > > > > > > >> >> > > >> > > > > > > > > >> >> > > Hi, >> > > > > > > > > >> >> > > >> > > > > > > > > >> >> > > You can pass an integer to FuzzyQuery which >> >defines >> > > the >> > > > > > > > > >> >> > > number of characters that are seen as prefix. >> > > > > > > > > >> >> > So all >> > > > > > > > > >> >> > > terms must match >> > > > > > > > > >> >> > > this prefix and the rest of each term is >> > > > > matched >> >using >> > > > > >fuzzy. >> > > > > > > > > >> >> > > >> > > > > > > > > >> >> > > Uwe >> > > > > > > > > >> >> > > >> > > > > > > > > >> >> > > ----- >> > > > > > > > > >> >> > > Uwe Schindler >> > > > > > > > > >> >> > > H.-H.-Meier-Allee 63, D-28213 Bremen >> > > > > > > > > >> http://www.thetaphi.de >> > > > > > > > > >> >> > > eMail: u...@thetaphi.de >> > > > > > > > > >> >> > > >> > > > > > > > > >> >> > > > -----Original Message----- >> > > > > > > > > >> >> > > > From: Clemens Wyss >> > > > > > > > [mailto:clemens...@mysign.ch] >> > > > > > > > > >> >> > > > Sent: Monday, May 02, 2011 1:47 PM >> > >> > > > > > > >> >To: >> > > > > > > > > >> java-user@lucene.apache.org > > > > > > >> >> > >> > > > > Subject: "fuzzy prefix" search >> >> > > > >> > > > > > > > > >> >> > > > I'd like to search fuzzily but not on a full >> >term. >> > > > > > > > > >> >> > > > E.g. >> > > > > > > > > >> >> > > > I have a text "Merlot del Ticino" >> > > > > > > > > >> >> > > > I'd like >> > > > > > > > > >> >> > > > "mer", "merr", "melo", ... to match. >> > > > > > > > > >> >> > > > >> > > > > > > > > >> >> > > > If I use FuzzyQuery only "merlot, >> > > "merlott" >> >hit. >> > > >What >> > > > > > > > > >> >> > > > Query-combination should I use? >> > > > > > > > > >> >> > > > >> > > > > > > > > >> >> > > > Thx >> > > > > > > > > >> >> > > > Clemens >> > > > > > > > > >> >> > > > >> > > > > > > > > >> >> > > > >> > > > > > > > > >> >> > > > >> > > > > > > > > >> >> > > > >> > > >-------------------------------------------------------- >> > > > > > > > > >> >> > > > ---- >> > > > > > > > > >> >> > > > --- >> > > > > > > > > >> >> > > > --- >> > > > > > > > > >> >> > > > -- >> > > > > > > > > >> >> > > > - 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