In answering your first questions, any changes we’ve been making have been followed by a reindex.
The data that is being indexed generally looks something like this (<space> indicating an actual space): TIM <space> , <space> JULIO JULIE <space> , <space> JIM So based off what we see from looking at top terms in the field and the analysis tool, at index time these records are being broken up such that TIM , JULIO can be found with tim or Julio. Just to make sure I’m not misunderstanding something about Solr/Lucene, when a record is indexed the index analysis chain result (<tim> <,> <julio>) is what is written to disk correct? So far as I understand it it’s the query analysis chain that has the issue with most filters not being applied during wildcard and fuzzy queries. Finally, some clarification as I’ve realized my original email might not have made this point well. I can have a particular record with a primary key of X and a name value of LEWIS , JULIA and be able to find that exact record with bulia~1 but not aulia~1, or GUERRERO , JULIAN , JULIAN can be found with julan~1 but not julia~1. It’s not that records go missing when searched for with fuzzy, but rather the fuzzy terms that will find them seem, to my eyes, inconsistent. Regards, Ryan Wilson rpwils...@gmail.com
