Hi Walter, It's type, actual input term was "probl" sorry for the typo.
Thanks, Pradeep On Mon, Apr 13, 2020 at 3:46 PM Walter Underwood <wun...@wunderwood.org> wrote: > You need to add three letters to “prob” to get “problem”, so it is edit > distance 3. > Fuzzy only works to distance 2. > > If you want to match prefixes, edge n-grams are a better approach. > > wunder > Walter Underwood > wun...@wunderwood.org > http://observer.wunderwood.org/ (my blog) > > > On Apr 13, 2020, at 2:35 PM, Deepu <kpkumar1...@gmail.com> wrote: > > > > Hi Team, > > > > We have 8 text fields (*_txt_en) in schema and one multi valued text > field > > which is copy field of other text fields, like below. > > > > tittle_txt_en, configuration_summary_txt_en, all_text_txt_ens (multi > value > > field) > > > > Observed one issue with Fuzzy match, same term with distance of two(~2) > is > > working on individual fields but not returning any results from multi > > valued field. > > > > Term we used is "prob" and document has "problem" term in two text > fields, > > so all_text field has two occurrences of 'problem" terms. > > > > > > > > title_txt_en:prob~2. (given results) > > > > all_text_txt_ens:prob~2 (no results) > > > > > > > > is there any other factors involved in distance calculation other > > than Damerau-Levenshtein Distance algoritham? > > > > what might be the reason same input with same distance worked with one > > field and failed with other field in same collection? > > > > is there a way we can get actual distance solr calculated w.r.t specific > > document and specific field ? > > > > > > > > Thanks in advance !! > > > > > > Thanks, > > > > Pradeep > >
