Match

Fuzziness elasticsearch

Fuzziness elasticsearch
  1. What is Elasticsearch fuzziness?
  2. What is fuzzy match in Elasticsearch?
  3. What is lenient in Elasticsearch?
  4. What is match query in Elasticsearch?

What is Elasticsearch fuzziness?

In Elasticsearch, fuzzy query means the terms in the queries don't have to be the exact match with the terms in the Inverted Index. To calculate the distance between query, Elasticsearch uses Levenshtein Distance Algorithm.

What is fuzzy match in Elasticsearch?

A Simple Fuzzy Match

The fuzziness argument specifies that the results match with a maximum edit distance of 2. It should be noted that fuzziness should only be used with values of 1 and 2, meaning a maximum of 2 edits between the query and a term in a document is allowed.

What is lenient in Elasticsearch?

lenient. (Optional, Boolean) If true , format-based errors, such as providing a text value for a numeric field, are ignored. Defaults to false .

What is match query in Elasticsearch?

Match queryedit. Returns documents that match a provided text, number, date or boolean value. The provided text is analyzed before matching. The match query is the standard query for performing a full-text search, including options for fuzzy matching.

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