[[query-dsl-fuzzy-query]] === Fuzzy Query The fuzzy query uses similarity based on Levenshtein edit distance. ==== String fields The `fuzzy` query generates matching terms that are within the maximum edit distance specified in `fuzziness` and then checks the term dictionary to find out which of those generated terms actually exist in the index. The final query uses up to `max_expansions` matching terms. Here is a simple example: [source,js] -------------------------------------------------- GET /_search { "query": { "fuzzy" : { "user" : "ki" } } } -------------------------------------------------- // CONSOLE Or with more advanced settings: [source,js] -------------------------------------------------- GET /_search { "query": { "fuzzy" : { "user" : { "value": "ki", "boost": 1.0, "fuzziness": 2, "prefix_length": 0, "max_expansions": 100 } } } } -------------------------------------------------- // CONSOLE [float] ===== Parameters [horizontal] `fuzziness`:: The maximum edit distance. Defaults to `AUTO`. See <>. `prefix_length`:: The number of initial characters which will not be ``fuzzified''. This helps to reduce the number of terms which must be examined. Defaults to `0`. `max_expansions`:: The maximum number of terms that the `fuzzy` query will expand to. Defaults to `50`. `transpositions`:: Whether fuzzy transpositions (`ab` -> `ba`) are supported. Default is `true`. WARNING: This query can be very heavy if `prefix_length` is set to `0` and if `max_expansions` is set to a high number. It could result in every term in the index being examined!