final SearchRequestBuilder builder = client.prepareSearch(index);
        builder.setSize(size);
        builder.setQuery(buildQuery());
        builder.setRescorer(buildRescore(), windowSize);

        builder.execute(new ActionListener<SearchResponse>() {
            @Override
            public void onResponse(final SearchResponse searchResponse) {
                if (searchResponse.getFailedShards() > 0) {

        String stats = null;
        try {
            final SearchEngineClient esClient = ComponentUtil.getSearchEngineClient();
            final NodesStatsResponse response = esClient.admin().cluster().prepareNodesStats().all().execute().actionGet(10000L);
            final XContentBuilder builder = XContentFactory.jsonBuilder();
            builder.startObject();
            response.toXContent(builder, ToXContent.EMPTY_PARAMS);

        return getPhaseToLifecycleMap().get(phase);
    }

    /**
     * We use this to map all phases to the lifecycle that contains it. This is used so that a user can specify the
     * phase they want to execute and we can easily determine what lifecycle we need to run.
     *
     * @return A map of lifecycles, indexed on id
     */
    public Map<String, Lifecycle> getPhaseToLifecycleMap() {

        return new TextNormalizeContext(reader).initialCapacity(initialCapacity).maxAlphanumTermSize(maxAlphanumTermSize)
                .maxSymbolTermSize(maxSymbolTermSize).duplicateTermRemoved(removeDuplication).execute();
    }

Eles tendem a exigir configurações mais complexas, um gerenciador de fila de mensagens/tarefas, como RabbitMQ ou Redis, mas permitem que você execute tarefas em segundo plano em vários processos e, especialmente, em vários servidores.

Para ver um exemplo, verifique os [Geradores de projeto](../project-generation.md){.internal-link target=\_blank}, todos incluem celery já configurado.

	t.Helper()

	var out bytes.Buffer
	cmd.SetArgs(c.args)
	cmd.SetOut(&out)
	cmd.SetErr(&out)
	cmd.SilenceUsage = true
	if c.namespace != "" {
		namespace = c.namespace
	}

	fErr := cmd.Execute()
	output := out.String()

	if c.expectedException {
		if fErr == nil {
			t.Fatalf("Wanted an exception, "+
				"didn't get one, output was %q", output)
		}
	} else {
		if fErr != nil {

            filterList.forEach(boolQueryBuilder::filter);
            builder.setQuery(boolQueryBuilder);
        } else {
            builder.setQuery(queryBuilder);
        }

        builder.execute(new ActionListener<SearchResponse>() {
            @Override
            public void onResponse(final SearchResponse searchResponse) {
                if (searchResponse.getFailedShards() > 0) {

    * Es enthält den gesendeten `username` und das gesendete `password`.

{* ../../docs_src/security/tutorial006_an_py39.py hl[4,8,12] *}
Wenn Sie versuchen, die URL zum ersten Mal zu öffnen (oder in der Dokumentation auf den Button „Execute“ zu klicken), wird der Browser Sie nach Ihrem Benutzernamen und Passwort fragen:

<img src="/img/tutorial/security/image12.png">

## Den Benutzernamen überprüfen

Hier ist ein vollständigeres Beispiel.

  GradientRegistry registry;
  s = RegisterGradients(&registry);
  ASSERT_EQ(errors::OK, s.code()) << s.message();
  auto tape = std::make_unique<Tape>(/*persistent=*/false);
  s = Execute(check_numerics_op.get(), ctx.get(), absl::MakeSpan(outputs),
              &num_retvals, &forward_op, tape.get(), registry);
  ASSERT_EQ(errors::OK, s.code()) << s.message();

  string read_message;

    return status.status;
  }

  absl::Status Execute(const ImmediateExecutionOperation* op,
                       ImmediateExecutionTensorHandle** retvals,
                       int* num_retvals) override {
    std::vector<TFE_TensorHandle*> outputs(*num_retvals);
    TF_Status status;
    device_.execute(tensorflow::wrap(op), num_retvals, outputs.data(), &status,
                    info_);