Elasticsearch terms

1. What is terms in Elasticsearch?
2. Should terms Elasticsearch?
3. What is Elasticsearch query?
4. What is terms aggregation in Elasticsearch?

What is terms in Elasticsearch?

Terms lookup fetches the field values of an existing document. Elasticsearch then uses those values as search terms. This can be helpful when searching for a large set of terms. To run a terms lookup, the field's _source must be enabled. You cannot use cross-cluster search to run a terms lookup on a remote index.

Should terms Elasticsearch?

must means: Clauses that must match for the document to be included. should means: If these clauses match, they increase the _score ; otherwise, they have no effect. They are simply used to refine the relevance score for each document.

What is Elasticsearch query?

Elasticsearch provides a full Query DSL (Domain Specific Language) based on JSON to define queries. Think of the Query DSL as an AST (Abstract Syntax Tree) of queries, consisting of two types of clauses: ... Leaf query clauses look for a particular value in a particular field, such as the match , term or range queries.

What is terms aggregation in Elasticsearch?

Terms Aggregationedit. A multi-bucket value source based aggregation where buckets are dynamically built - one per unique value. terms aggregation should be a field of type keyword or any other data type suitable for bucket aggregations.