Module elasticsearch_dsl::search::queries::term_level

You can use term-level queries to find documents based on precise values in structured data. Examples of structured data include date ranges, IP addresses, prices, or product IDs.

Unlike full-text queries, term-level queries do not analyze search terms. Instead, term-level queries match the exact terms stored in a field.

Structs

ExistsQuery

Returns documents that contain an indexed value for a field.

FuzzyQuery

Returns documents that contain terms similar to the search term, as measured by a Levenshtein edit distance.

IdsQuery

Returns documents based on their IDs. This query uses document IDs stored in the _id field.

PrefixQuery

Returns documents that contain a specific prefix in a provided field.

RangeQuery

Returns documents that contain terms within a provided range.

RegexpQuery

Returns documents that contain terms matching a regular expression.

TermQuery

Returns documents that contain an exact term in a provided field.

TermsQuery

Returns documents that contain one or more exact terms in a provided field. The terms query is the same as the term query, except you can search for multiple values.

TermsSetQuery

Returns documents that contain an exact terms_set in a provided field.

WildcardQuery

Returns documents that contain terms matching a wildcard pattern.