Enum Fuzziness

pub enum Fuzziness {
    Auto,
    Range(u8, 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(u8, 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

Distance(u8)

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

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<[u8; 2]> for Fuzziness

fn from(v: [u8; 2]) -> Self

Converts to this type from the input type.

impl From<Range<u8>> for Fuzziness

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

Converts to this type from the input type.

impl From<u8> for Fuzziness

fn from(v: u8) -> Self

Converts to this type from the input type.

impl PartialEq for Fuzziness

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

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 Copy for Fuzziness

impl Eq for Fuzziness

impl StructuralPartialEq for Fuzziness