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Term level queries

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Term level queries

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While the full text queries will analyze the query string before executing, the term-level queries operate on the exact terms that are stored in the inverted index.

These queries are usually used for structured data like numbers, dates, and enums, rather than full text fields. Alternatively, they allow you to craft low-level queries, foregoing the analysis process.

The queries in this group are:

term query: Find documents which contain the exact term specified in the field specified.
terms query: Find documents which contain any of the exact terms specified in the field specified.
range query: Find documents where the field specified contains values (dates, numbers, or strings) in the range specified.
exists query: Find documents where the field specified contains any non-null value.
missing query: Find documents where the field specified does is missing or contains only null values.
prefix query: Find documents where the field specified contains terms which being with the exact prefix specified.
wildcard query: Find documents where the field specified contains terms which match the pattern specified, where the pattern supports single character wildcards (?) and multi-character wildcards (*)
regexp query: Find documents where the field specified contains terms which match the regular expression specified.
fuzzy query: Find documents where the field specified contains terms which are fuzzily similar to the specified term. Fuzziness is measured as a Levenshtein edit distance of 1 or 2.
type query: Find documents of the specified type.
ids query: Find documents with the specified type and IDs.

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