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pub struct BoolQuery { /* private fields */ }
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A query that matches documents matching boolean combinations of other queries. The bool query maps to Lucene BooleanQuery. It is built using one or more boolean clauses, each clause with a typed occurrence.

The bool query takes a more-matches-is-better approach, so the score from each matching must or should clause will be added together to provide the final _score for each document.

To create bool query:

Query::bool()
   .must(Query::term("test1", 1))
   .must(Query::term("test2", 2))
   .should(Query::term("test1", 3))
   .should(Query::term("test2", 4))
   .filter(Query::term("test1", 5))
   .filter(Query::term("test2", 6))
   .must_not(Query::term("test1", 7))
   .must_not(Query::term("test2", 8))
   .minimum_should_match("2")
   .boost(1.3)
   .name("test");

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-bool-query.html

Implementations

The clause (query) must appear in matching documents and will contribute to the score.

The clause (query) should appear in the matching document.

The clause (query) must appear in matching documents. However unlike must the score of the query will be ignored. Filter clauses are executed in filter context, meaning that scoring is ignored and clauses are considered for caching.

The clause (query) must not appear in the matching documents. Clauses are executed in filter context meaning that scoring is ignored and clauses are considered for caching. Because scoring is ignored, a score of 0 for all documents is returned.

You can use the minimum_should_match parameter to specify the number or percentage of should clauses returned documents must match.

If the bool query includes at least one should clause and no must or filter clauses, the default value is 1. Otherwise, the default value is 0.

For other valid values, see the minimum_should_match parameter.

Floating point number used to decrease or increase the relevance scores of a query. Defaults to 1.0.

You can use the boost parameter to adjust relevance scores for searches containing two or more queries.

Boost values are relative to the default value of 1.0. A boost value between 0 and 1.0 decreases the relevance score. A value greater than 1.0 increases the relevance score.

You can use named queries to track which queries matched returned documents. If named queries are used, the response includes a matched_queries property for each hit.

https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-bool-query.html#named-queries

Trait Implementations

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This method tests for !=.

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