Is fuzzy query in elasticsearch related to fuzzy logic? -


as title states, in elasticsearch's fuzzy-query related fuzzy logic?

for example, given string, fuzzy query fuzziness of 2 return indexed strings have levenshtein distance of 2. how system decide answers return if there multiple matches?

is there fuzzy system behind it? 1 has triangular functions (for instance) , can expressed in this:

1|      b  |   /\  /\      = fuzzy set 1  |  /  \/  \     b = fuzzy set 2  | /   /\   \ 0|/   /  \   \  ------------    b  c d

i more theoretical answer tackles in fuzzy queries fuzzy?

fuzzy string matching in elasticsearch way of saying "approximate string matching". not implemented using fuzzy logic.

lucene (the library underpinning elasticsearch , solr), implements "fuzzy" (approximate) search edit distance of 2 using finite state transducer representing union of possible transitions (including edits , deletes edit distance 1 or 2) between characters in every indexed term.

it's efficient data structure storing , tracing world of existing terms meet criteria entered. here's pic good article these.

enter image description here

(shows levenshtein automaton representing word "food" 2 edits.)


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