Term-level queries
You can useterm-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.
Unlikefull-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 forkeyword fields with thenormalizer property. For more details, seenormalizer.
existsquery- Returns documents that contain any indexed value for a field.
fuzzyquery- Returns documents that contain terms similar to the search term. Elasticsearch measures similarity, or fuzziness, using aLevenshtein edit distance.
idsquery- Returns documents based on theirdocument IDs.
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 aregular 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.
terms_setquery- 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.
wildcardquery- Returns documents that contain terms matching a wildcard pattern.