term-level-queries.md

mapped_pages
https://www.elastic.co/guide/en/elasticsearch/reference/current/term-level-queries.html

Term-level queries [term-level-queries]

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.

::::{note} Term-level queries still normalize search terms for keyword fields with the normalizer property. For more details, see normalizer.

::::

Types of term-level queries [term-level-query-types]

exists query : Returns documents that contain any indexed value for a field.

fuzzy query : Returns documents that contain terms similar to the search term. {{es}} measures similarity, or fuzziness, using a Levenshtein edit distance.

ids query : Returns documents based on their document IDs.

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

range query : Returns documents that contain terms within a provided range.

regexp query : Returns documents that contain terms matching a regular expression.

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

terms query : Returns documents that contain one or more exact terms in a provided field.

terms_set query : Returns documents that contain a minimum number of exact terms in a provided field. You can define the minimum number of matching terms using a field or script.

wildcard query : Returns documents that contain terms matching a wildcard pattern.