});
        final OptionalEntity<SearchResponse> searchResponseOpt = sendRequest(query, params, userBean);
        return processResponse(searchResponseOpt);
    }

    /**
     * Processes the OpenSearch response and converts it to a SearchResult.
     *
     * @param searchResponseOpt the optional search response from OpenSearch
     * @return the processed search result
     */

        });
        return asJson(new ApiResponse().status(Status.OK).result());
    }

    /**
     * Creates an edit body from a file configuration entity for API responses.
     * Processes permissions and virtual hosts for proper display formatting.
     *
     * @param entity the file configuration entity to convert
     * @return edit body containing the entity data
     */

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

   *       can always page it to disk "for free". However, on systems where killing processes
   *       happens all the time in normal conditions (i.e., android) the OS must make a tradeoff
   *       between paging memory and killing other processes - so allocating a gigantic buffer and
   *       then sequentially accessing it could result in other processes dying. This is solvable
   *       via madvise(2), but that obviously doesn't exist in java.

 * </td>
 * </tr>
 * </table>
 *
 * <p>
 * See <a href="../../../pipes.html">Using jCIFS to Connect to Win32
 * Named Pipes</a> for a detailed description of how to use jCIFS with
 * Win32 Named Pipe server processes.
 *
 */

public class SmbNamedPipe extends SmbFile implements SmbPipeResource {

    private final int pipeType;

    /**
     * Open the Named Pipe resource specified by the url

    /**
     * Set of fully qualified class names that have been processed and contain the {@link Named} annotation.
     */
    private final Set<String> processedClasses = new HashSet<>();

    /**
     * Processes classes with the {@link Named} annotation and generates an index file.
     *
     * @param annotations the annotation types requested to be processed

        if (logger.isDebugEnabled()) {
            logger.debug("The number of an added document is {}.", documentSize.get());
        }

    }

    /**
     * Processes a document through the ingest pipeline.
     * Applies all available ingesters to transform the document data.
     *
     * @param paramMap the data store parameters
     * @param dataMap the document data to process

This is the basic idea. But you will probably want to take care of some additional things, like:

* Security - HTTPS
* Running on startup
* Restarts
* Replication (the number of processes running)
* Memory
* Previous steps before starting

        assertEquals(0, bytesRead);
        assertNull(response.getInfo());
    }

    @Test
    void testReadDataWireFormat_EmptyBuffer() throws Exception {
        // Test with empty dataCount but decode still processes buffer
        // Note: SmbInfoAllocation.decode() doesn't check len parameter, always reads 20 bytes
        response = new Trans2QueryFSInformationResponse(config, FileSystemInformation.SMB_INFO_ALLOCATION);

### Contenedores con Múltiples Procesos y Casos Especiales

Por supuesto, hay **casos especiales** donde podrías querer tener **un contenedor** con varios **worker processes de Uvicorn** dentro.

En esos casos, puedes usar la opción de línea de comandos `--workers` para establecer el número de workers que deseas ejecutar:

```{ .dockerfile .annotate }
FROM python:3.9