The case I am facing seems very simple, but truly I can't imagine a clear solution:
Imagine I want to indexed a text containing "Summertime, and the living is easy" on a Lucene Index.
I want that the search on my UI of "summer time" finds the document indexed containing my text with Summertime, while maintaining all the benefits of a StandardAnalyser standard data.
I imagine that using a fuzzyQuery will suffice (since the distance is 1). since the tokenizer I use split based on the spaces, the solution isn't relevant I don't know which analyzer to use to allow this possibility? while keeping all the benefits of a StandardAnalyzer'like (Stopwords, possibility to add synonyms,...).
Maybe it's simpler than I think (at least it seems so), but I really can't see any solution for now.
You can use a ShingleFilter to make Solr combine multiple tokens into one, with a user define separator.
That way you'll get "summer time" as a single token, as well as "summer" and "time" (unless you disable outputUnigrams
). When you do this you'll get tokens with a small edit distance, and the fuzzy search should work as you want it to.