WARNING: Version 5.4 of Elasticsearch has passed its EOL date.

This documentation is no longer being maintained and may be removed. If you are running this version, we strongly advise you to upgrade. For the latest information, see the current release documentation.

› › ›

Fuzzy Query

edit

Fuzzy Query

edit

The fuzzy query uses similarity based on Levenshtein edit distance.

String fields

edit

The fuzzy query generates all possible 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.

Here is a simple example:

GET /_search
{
    "query": {
       "fuzzy" : { "user" : "ki" }
    }
}

Or with more advanced settings:

GET /_search
{
    "query": {
        "fuzzy" : {
            "user" : {
                "value" :         "ki",
                    "boost" :         1.0,
                    "fuzziness" :     2,
                    "prefix_length" : 0,
                    "max_expansions": 100
            }
        }
    }
}

Parameters

edit

`fuzziness`	The maximum edit distance. Defaults to `AUTO`. See Fuzziness.
`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`.

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!

« Regexp Query Type Query »