Fuzzy Phrase
Basic Usage
fuzzy_phrase is like fuzzy_term but for query phrases that are comprised of multiple tokens.
Unlike a typical phrase query, fuzzy_phrase finds documents that are a fuzzy match against any one of the query tokens.
Specifies the field within the document to search for the term.
Defines the phrase you are searching for within the specified field. This
phrase is automatically tokenized in the same way as field.
The maximum Levenshtein distance (i.e. single character edits) allowed to
consider a term in the index as a match for the query term. Maximum value is
2.
When set to true, transpositions (swapping two adjacent characters) as a
single edit in the Levenshtein distance calculation, while false considers
it two separate edits (a deletion and an insertion).
When set to true, the initial substring (prefix) of the query term is
exempted from the fuzzy edit distance calculation, while false includes the
entire string in the calculation.
When set to true, all tokens of the query have to match in order for a
document to be considered a match.
Setting match_all_terms to true makes it so that all query tokens must
match in order for a document to be considered a match.