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Compound queries

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Compound queries

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Compound queries wrap other compound or leaf queries, either to combine their results and scores, to change their behaviour, or to switch from query to filter context.

The queries in this group are:

constant_score query: A query which wraps another query, but executes it in filter context. All matching documents are given the same “constant” _score.
bool query: The default query for combining multiple leaf or compound query clauses, as must, should, must_not, or filter clauses. The must and should clauses have their scores combined — the more matching clauses, the better — while the must_not and filter clauses are executed in filter context.
dis_max query: A query which accepts multiple queries, and returns any documents which match any of the query clauses. While the bool query combines the scores from all matching queries, the dis_max query uses the score of the single best- matching query clause.
function_score query: Modify the scores returned by the main query with functions to take into account factors like popularity, recency, distance, or custom algorithms implemented with scripting.
boosting query: Return documents which match a positive query, but reduce the score of documents which also match a negative query.

Constant Score Query

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See Constant Score Query

constantScoreQuery(
        termQuery("name","kimchy"))                          
    .boost(2.0f);

	your query
	query score

Bool Query

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See Bool Query

boolQuery()
        .must(termQuery("content", "test1"))                 
        .must(termQuery("content", "test4"))                 
        .mustNot(termQuery("content", "test2"))              
        .should(termQuery("content", "test3"))               
        .filter(termQuery("content", "test5"));

	must query
	must not query
	should query
	a query that must appear in the matching documents but doesn’t contribute to scoring.

Dis Max Query

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See Dis Max Query

disMaxQuery()
        .add(termQuery("name", "kimchy"))                    
        .add(termQuery("name", "elasticsearch"))             
        .boost(1.2f)                                         
        .tieBreaker(0.7f);

	add your queries
	add your queries
	boost factor
	tie breaker

Function Score Query

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See Function Score Query.

To use ScoreFunctionBuilders just import them in your class:

import static org.elasticsearch.index.query.functionscore.ScoreFunctionBuilders.*;

FilterFunctionBuilder[] functions = {
        new FunctionScoreQueryBuilder.FilterFunctionBuilder(
                matchQuery("name", "kimchy"),                
                randomFunction()),                           
        new FunctionScoreQueryBuilder.FilterFunctionBuilder(
                exponentialDecayFunction("age", 0L, 1L))     
};
functionScoreQuery(functions);

	Add a first function based on a query
	And randomize the score based on a given seed
	Add another function based on the age field

Boosting Query

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See Boosting Query

boostingQuery(
            termQuery("name","kimchy"),                      
            termQuery("name","dadoonet"))                    
        .negativeBoost(0.2f);

	query that will promote documents
	query that will demote documents
	negative boost

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