You can use the Select API to query objects with following features:

- Objects must be in CSV, JSON, or Parquet(*) format.
- UTF-8 is the only encoding type the Select API supports.

import jcifs.Decodable;

/**
 * Base interface for File System Control Code (FSCC) file system information structures.
 * Provides common functionality for various SMB2/SMB3 file system information classes
 * used in query file system information operations, with constants for information levels.
 *
 * @author mbechler
 */
public interface FileSystemInformation extends Decodable {

    /**
     * SMB information allocation constant.

{* ../../docs_src/request_forms_and_files/tutorial001_an_py39.py hl[3] *}

## Definir parámetros `File` y `Form`

Crea parámetros de archivo y formulario de la misma manera que lo harías para `Body` o `Query`:

{* ../../docs_src/request_forms_and_files/tutorial001_an_py39.py hl[10:12] *}

Los archivos y campos de formulario se subirán como form data y recibirás los archivos y campos de formulario.

/// note | Nota

Isso é suportado desde a versão `0.115.0` do FastAPI. 🤓

///

/// tip | Dica

Essa mesma técnica se aplica para `Query`, `Cookie`, e `Header`. 😎

///

## Cookies com Modelos Pydantic

Declare o parâmetro de **cookie** que você precisa em um **modelo Pydantic**, e depois declare o parâmetro como um `Cookie`:

    /**
     * Serves a thumbnail image for the specified document.
     *
     * @param form the thumbnail request form containing document ID and query parameters
     * @return ActionResponse containing the thumbnail image or 404 if not found
     */
    @Execute
    public ActionResponse index(final ThumbnailForm form) {

        verifyToken(() -> asHtml(path_AdminSuggest_AdminSuggestJsp).useForm(SuggestForm.class));
        return redirect(getClass());
    }

    /**
     * Deletes query-based suggest words from the suggest index.
     *
     * @return HTML response redirecting to the index page
     */
    @Execute
    @Secured({ ROLE })
    public HtmlResponse deleteQueryWords() {

 *
 * @author higa
 */
public abstract class PreparedStatementUtil {

    /**
     * Do not instantiate.
     */
    protected PreparedStatementUtil() {
    }

    /**
     * Executes the query.
     *
     * @param ps
     *            {@link PreparedStatement}. Must not be {@literal null}.
     * @return {@link ResultSet}
     * @throws SQLRuntimeException
     *             If a {@link SQLException} occurs.

        final Map<String, Object> requestBody = new HashMap<>();
        final String keyProp = NAME_PREFIX + id;
        requestBody.put(KEY_PROPERTY, keyProp);
        requestBody.put("content", "query" + id);
        return requestBody;
    }

    @Override
    protected Map<String, Object> getUpdateMap() {
        final Map<String, Object> updateMap = new HashMap<>();
        updateMap.put("content", "new_query");

Unabhängige TechEmpower-Benchmarks zeigen, **FastAPI**-Anwendungen, die unter Uvicorn ausgeführt werden, gehören zu <a href="https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7" class="external-link" target="_blank">den schnellsten existierenden Python-Frameworks</a>, nur Starlette und Uvicorn selbst (intern von FastAPI verwendet) sind schneller.

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;