.status(ApiResult.Status.OK)
                        .result());
    }

    /**
     * Retrieves a specific related query setting by ID.
     *
     * @param id the ID of the related query to retrieve
     * @return JSON response containing the related query configuration
     */
    // GET /api/admin/relatedquery/setting/{id}
    @Execute
    public JsonResponse<ApiResult> get$setting(final String id) {

    public void test_hasConditionQuery_withQuery() {
        // Test with query parameter
        testParams.conditions.put(SearchRequestParams.AS_Q, new String[] { "test query" });
        assertTrue(searchRequestParams.hasConditionQuery());
    }

    public void test_hasConditionQuery_withEmptyQuery() {
        // Test with empty query parameter
        testParams.conditions.put(SearchRequestParams.AS_Q, new String[] { "" });

     * The search is performed using the current virtual host context and
     * the query term is converted to lowercase for case-insensitive matching.
     *
     * @param query the search term to find related queries for
     * @return an array of related query strings, or empty array if none found
     */
    public String[] getRelatedQueries(final String query) {
        final String key = ComponentUtil.getVirtualHostHelper().getVirtualHostKey();

     * Sets the time taken to execute the search query in milliseconds.
     *
     * @param queryTime The query execution time in milliseconds
     */
    public void setQueryTime(final long queryTime) {
        this.queryTime = queryTime;
    }

    /**
     * Sets the actual search query executed against the search engine.
     *
     * @param searchQuery The search query string
     */

import org.opensearch.index.query.MatchAllQueryBuilder;
import org.opensearch.index.query.MatchPhraseQueryBuilder;
import org.opensearch.index.query.PrefixQueryBuilder;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.codelibs.fess.query.DefaultQueryBuilder;

public class BoostQueryCommandTest extends QueryTestBase {

## 🌃

⏮️ `Query`, `Path` (& 🎏 👆 🚫 👀) 👆 💪 📣 🗃 & 🎻 🔬 🎏 🌌 ⏮️ [🔢 🔢 & 🎻 🔬](query-params-str-validations.md){.internal-link target=_blank}.

& 👆 💪 📣 🔢 🔬:

* `gt`: `g`🅾 `t`👲
* `ge`: `g`🅾 🌘 ⚖️ `e`🅾
* `lt`: `l`👭 `t`👲
* `le`: `l`👭 🌘 ⚖️ `e`🅾

/// info

`Query`, `Path`, & 🎏 🎓 👆 🔜 👀 ⏪ 🏿 ⚠ `Param` 🎓.

        QueryContext context = new QueryContext("*:*", false);
        MatchAllDocsQuery query = new MatchAllDocsQuery();
        float boost = 1.0f;

        QueryBuilder result = matchAllQueryCommand.execute(context, query, boost);

        assertNotNull(result);
        assertTrue(result instanceof MatchAllQueryBuilder);

        // Verify the query builder generates correct JSON

///

## Modellattribute deklarieren

Dann können Sie `Field` mit Modellattributen deklarieren:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[11:14] *}

`Field` funktioniert genauso wie `Query`, `Path` und `Body`, es hat die gleichen Parameter, usw.

/// note | Technische Details

    /**
     * Performs a search operation using the specified query and parameters.
     *
     * @param query the search query string
     * @param params the search request parameters
     * @param userBean the optional user bean for access control
     * @return the search result containing documents and metadata
     */
    @Override

func parsePreSignV4(query url.Values, region string, stype serviceType) (psv preSignValues, aec APIErrorCode) {
	// verify whether the required query params exist.
	aec = doesV4PresignParamsExist(query)
	if aec != ErrNone {
		return psv, aec
	}

	// Verify if the query algorithm is supported or not.
	if query.Get(xhttp.AmzAlgorithm) != signV4Algorithm {