"Unknown q: " + query.getClass() + " => " + query);
    }

    /**
     * Converts a prefix query to a query builder.
     *
     * @param context the query context
     * @param prefixQuery the prefix query
     * @param boost the boost factor
     * @return the query builder
     */

import jakarta.validation.constraints.Size;

/**
 * The edit form for Related Query.
 * This form extends CreateForm and adds fields necessary for editing existing related query entries.
 */
public class EditForm extends CreateForm {

    /** Unique identifier for the related query entry */
    @Required
    @Size(max = 1000)
    public String id;

        facetInfo.query = new String[] { "query1", "query2" };
        facetInfo.addQuery("query3");
        assertNotNull(facetInfo.query);
        assertEquals(3, facetInfo.query.length);
        assertEquals("query1", facetInfo.query[0]);
        assertEquals("query2", facetInfo.query[1]);
        assertEquals("query3", facetInfo.query[2]);
    }

    // Test addQuery multiple times

Ви можете визначити параметри Cookie таким же чином, як визначаються параметри `Query` і `Path`.

## Імпорт `Cookie`

Спочатку імпортуйте `Cookie`:

{* ../../docs_src/cookie_params/tutorial001_an_py310.py hl[3] *}

## Визначення параметрів `Cookie`

Потім визначте параметри cookie, використовуючи таку ж конструкцію як для `Path` і `Query`.

    // ===================================================================================
    //                                                                               Query
    //                                                                               =====
    public BsKeyMatchCQ query() {
        assertQueryPurpose();
        return doGetConditionQuery();
    }

    protected BsKeyMatchCQ doGetConditionQuery() {

import org.opensearch.core.xcontent.XContentParser;
import org.opensearch.index.query.AbstractQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryShardContext;

/**
 * A query builder for a stored LTR (Learning to Rank) query.
 * This builder constructs a query that uses a pre-trained LTR model
 * to re-rank search results based on a given set of features.
 */

        if (crawlingInfoPager.id != null) {
            cb.query().docMeta().setId_Equal(crawlingInfoPager.id);
        }
        // TODO Long, Integer, String supported only.
        if (StringUtil.isNotBlank(crawlingInfoPager.sessionId)) {
            cb.query().setSessionId_Match(crawlingInfoPager.sessionId);
        }
        cb.query().addOrderBy_CreatedTime_Desc();
    }

    /**

 */
public class MsrpcQueryInformationPolicy extends lsarpc.LsarQueryInformationPolicy {

    /**
     * Creates a new request to query LSA policy information.
     *
     * @param policyHandle the LSA policy handle
     * @param level the information level to query
     * @param info the object to store the query results
     */
    public MsrpcQueryInformationPolicy(final LsaPolicyHandle policyHandle, final short level, final NdrObject info) {

    //                                                                               Query
    //                                                                               =====
    public BsAccessTokenCQ query() {
        assertQueryPurpose();
        return doGetConditionQuery();
    }

    protected BsAccessTokenCQ doGetConditionQuery() {

    // ===================================================================================
    //                                                                               Query
    //                                                                               =====
    public BsFailureUrlCQ query() {
        assertQueryPurpose();
        return doGetConditionQuery();
    }

    protected BsFailureUrlCQ doGetConditionQuery() {