Thank you for your answer. I agree, I can manage predictable values through synonyms.
However most data in this index are company and product names, leading sometimes to rather strange syntax (mix of upper/lower case, misplaced dash or spaces). One purpose to using solr was to help in finding potential duplicates before data insertion. On another hand I could write a custom tokenizer/filter and a custom query builder that would test many combinations. I have the feeling however it is an inefficient approach. That is... Indexing : "chelsea soccer club" => "chelsea","soccer","club",chelseasoccer","soccerclub","chelseasoccerclub" Searching : "chelsea soccerclub" => "chelsea" and "soccerclub" or "chelseasoccerclub" While search expressions are generally short, indexation will be a nightmare... -- View this message in context: http://lucene.472066.n3.nabble.com/Find-results-with-or-without-whitespace-tp3117144p3117581.html Sent from the Solr - User mailing list archive at Nabble.com.
