Fuzzy Query - gnuhub/elasticsearch GitHub Wiki

A fuzzy based query that uses similarity based on Levenshtein (edit distance) algorithm.

Warning: this query is not very scalable with its default prefix length of 0 - in this case, every term will be enumerated and cause an edit score calculation. Here is a simple example:

{
    "fuzzy" : { "user" : "ki" }
}

More complex settings can be set (the values here are the default values):

    {
        "fuzzy" : { 
            "user" : {
                "value" : "ki",
                "boost" : 1.0,
                "min_similarity" : 0.5,
                "prefix_length" : 0
            }
        }
    }