ElasticSearch fuzzy Query

An ElasticSearch fuzzy Query is an ElasticSearch query that is a fuzzy query.

• • …
• Example(s):
  • { "fuzzy" : { "user" : { "value" : "ki", "boost" : 1.0, "min_similarity" : 0.5, "prefix_length" : 0 } } }
• Counter-Example(s):
  • an ElasticSearch match Query.
  • an ElasticSearch regex Query.
  • an ElasticSearch term Query.
  • an ElasticSearch terms Query.
  • an ElasticSearch text Query.
  • an ElasticSearch wildcard Query.
• See: Lucene Query, SOLR Query.

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References

2012

• http://www.elasticsearch.org/guide/en/elasticsearch/reference/current/query-dsl-term-query.html
  • A fuzzy query that uses similarity based on Levenshtein (edit distance) algorithm. This maps to Lucene’s FuzzyQuery.

    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 or max_expansions is not set.

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