return err
	}
	if err := target.init(); err != nil {
		return err
	}
	_, err := target.isActive()
	if err != nil {
		return err
	}
	return target.send(eventData)
}

// send - sends an event to the redis.
func (target *RedisTarget) send(eventData event.Event) error {
	conn := target.pool.Get()
	defer conn.Close()

	if target.args.Format == event.NamespaceFormat {

        }

        String failedProp = "failed${name}"
        // first wait for resources, or the failure marker from the wrapper script
        ant.waitfor(maxwait: maxWaitInSeconds, maxwaitunit: 'second', checkevery: '500', checkeveryunit: 'millisecond', timeoutproperty: failedProp) {
            or {
                resourceexists {
                    file(file: failureMarker.toString())
                }

  ) : SocketEffect

  /**
   * On HTTP/2, send a [GOAWAY frame](https://tools.ietf.org/html/rfc7540#section-6.8) immediately
   * after the response and will close the connection when the client's socket is exhausted.
   *
   * On HTTP/1 this closes the socket.
   */
  public object ShutdownConnection : SocketEffect

  /**
   * On HTTP/2 this will send the error code on the stream.
   *

En particulier, on voit Uvicorn, Starlette et FastAPI comparés (parmi de nombreux autres outils).

Plus le problème résolu par un outil est simple, meilleures seront les performances obtenues. Et la plupart des tests de performance ne prennent pas en compte les fonctionnalités additionnelles fournies par les outils.

La hiérarchie est la suivante :

* **Uvicorn** : un serveur ASGI

        response.getWriter()
                .write("{\"response\":{\"status\":9,\"message\":\"Server is busy. Please retry after " + RETRY_AFTER_SECONDS
                        + " seconds.\",\"retry_after\":" + RETRY_AFTER_SECONDS + "}}");
    }

    enableProtocol(protocol)

    server.enqueue(
      MockResponse
        .Builder()
        .trailers(headersOf("t1", "v2"))
        .bodyDelay(1, TimeUnit.SECONDS)
        .body(protocol, "Hello")
        .build(),
    )

    val call = client.newCall(Request(server.url("/")))
    call.execute().use { response ->
      response.close()

     * The outer map key is the virtual host key, and the value is a pair containing:
     * - First: Map of exact term matches (term -> content)
     * - Second: List of regex pattern matches (Pattern -> content template)
     */
    protected Map<String, Pair<Map<String, String>, List<Pair<Pattern, String>>>> relatedContentMap = Collections.emptyMap();

    /**

     * @param pageSize The number of hits per scroll page
     * @param batchCallback The callback to process each batch of search hits.
     *        The first parameter is the array of hits, the second is a continuation flag
     *        that can be set to false to stop scrolling.
     */
    public static void scrollSearchWithBatchCallback(final Client client, final SuggestSettings settings, final String index,

        // First call without SAStruts.method
        mockRequest.setQueryString("query=test");
        assertEquals(customPath, webApiRequest.getServletPath());

        // Second call with SAStruts.method
        mockRequest.setQueryString("SAStruts.method=execute");
        assertEquals(originalPath, webApiRequest.getServletPath());

        // Third call without SAStruts.method again

        request.writeBytesWireFormat(buffer1, 0);

        // Update values
        request.setNotifyFlags(Smb2ChangeNotifyRequest.SMB2_WATCH_TREE);
        request.setCompletionFilter(0xFFF);

        // Second write
        byte[] buffer2 = new byte[512];
        request.writeBytesWireFormat(buffer2, 0);

        // Then
        assertEquals(0, SMBUtil.readInt2(buffer1, 2));