> @iorixxx > I tried making my title_search of type text_rev and tried > adding the > ReversedWildcardFilterFactory to my existing "text" type, > but in both cases > no luck.
I was able to perform *query* types of searches with solr 3.5 distro. Here is what I did: Download apache-solr-3.5.0 Edit schema.xml make text_rev as stored="true" add <copyField source="features" dest="text_rev"/> java -jar start.jar java -jar post.jar http://localhost:8983/solr/select/?q=text_rev:*me*&version=2.2&start=0&rows=10&indent=on&fl=text_rev&hl=true&hl.highlightMultiTerm=true&hl.usePhraseHighlighter=true&hl.fl=text_rev returns 7 docs, with the following snippets: <em>SmartMedia</em>, <em>megapixel</em>, <em>document</em>, <em>time</em> etc. Keep in mind that changes of this kind in schema.xml requires re-indexing and restart solr server. Also you need to be aware of http://wiki.apache.org/solr/MultitermQueryAnalysis > @Erick Erickson > "On frequent method of doing leading and trailing wildcards > is to use ngrams > (as distinct from edgengrams). That in combination with > phrase queries might > work well in this case. " Erick's suggestion will work faster in terms of QTime (response time) To get the idea, try "text_ngrm" field type in analysis.jsp and it will display generated tokens. http://lucene.apache.org/solr/api/org/apache/solr/analysis/NGramFilterFactory.html
