Enum elasticsearch_dsl::search::queries::params::Fuzziness

pub enum Fuzziness {
    Auto,
    Range(Range<u8>),
    Distance(u8),
}

Some queries and APIs support parameters to allow inexact fuzzy matching, using the fuzziness parameter.

When querying text or keyword fields, fuzziness is interpreted as a Levenshtein Edit Distance  — the number of one character changes that need to be made to one string to make it the same as another string.

https://www.elastic.co/guide/en/elasticsearch/reference/current/common-options.html#fuzziness

Variants

Auto

Generates an edit distance based on the length of the term.

AUTO should generally be the preferred value for fuzziness.

Range(Range<u8>)

Low and high distance arguments may be optionally provided AUTO:[low],[high]. If not specified, the default values are 3 and 6, equivalent to AUTO:3,6 that make for lengths:

0..2

    Must match exactly

3..5

    One edit allowed

>5

    Two edits allowed

Tuple Fields of Range

0: Range<u8>

Distance(u8)

The maximum allowed Levenshtein Edit Distance (or number of edits)

Tuple Fields of Distance

0: u8

Trait Implementations

impl Clone for Fuzziness

fn clone(&self) -> Fuzziness

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Fuzziness

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl From<Range<u8>> for Fuzziness

fn from(v: Range<u8>) -> Self

Performs the conversion.

impl From<u8> for Fuzziness

fn from(v: u8) -> Self

Performs the conversion.

impl PartialEq<Fuzziness> for Fuzziness

fn eq(&self, other: &Fuzziness) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Fuzziness) -> bool

This method tests for !=.

impl Serialize for Fuzziness

fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error> where
    S: Serializer, 

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for Fuzziness