try {
                crawlingInfoService.delete(entity);
                saveInfo(messages -> messages.addSuccessCrudDeleteCrudTable(GLOBAL));
            } catch (final Exception e) {
                logger.warn("Failed to process a request.", e);
                throwValidationErrorApi(messages -> messages.addErrorsCrudFailedToDeleteCrudTable(GLOBAL, buildThrowableMessage(e)));
            }
        }).orElse(() -> {

            try {
                failureUrlService.delete(entity);
                saveInfo(messages -> messages.addSuccessCrudDeleteCrudTable(GLOBAL));
            } catch (final Exception e) {
                logger.warn("Failed to process a request.", e);
                throwValidationErrorApi(messages -> messages.addErrorsCrudFailedToDeleteCrudTable(GLOBAL, buildThrowableMessage(e)));
            }
        }).orElse(() -> {

        if (monitoringFilePath != null) {
            final Path path = env.configFile().resolve(monitoringFilePath);

            try {
                final File file = path.toFile();
                if (file.exists()) {
                    reloadableFile = file;
                    dictionaryTimestamp = reloadableFile.lastModified();

um servidor de busca empresarial muito poderoso e fácil de implantar. Você pode instalar e executar o Fess rapidamente em qualquer plataforma que suporte o Java Runtime Environment. O Fess é fornecido sob a [Licença Apache 2.0](LICENSE).

O Fess é baseado no [OpenSearch](https://github.com/opensearch-project/OpenSearch), mas não é necessário ter conhecimento ou experiência com OpenSearch. O Fess fornece uma interface de administração fácil de usar, que permite configurar o sistema através...

- [ ] Upgrade
- [ ] Multi Cluster
- [ ] Virtual Machine
- [ ] Control Plane Revisions

**Please check any characteristics that apply to this pull request.**

///

## Actualizando las versiones de FastAPI

Para esto es recomendable primero añadir tests a tu aplicación.

Con **FastAPI** es muy fácil (gracias a Starlette), revisa la documentación [Testing](../tutorial/testing.md){.internal-link target=_blank}

	ctx, cancel := context.WithCancel(context.Background())
	defer cancel()
	// Tests for ErasureSD object layer.
	nDisks := 1
	disks, err := getRandomDisks(nDisks)
	if err != nil {
		t.Fatal("Failed to create drives for the backend")
	}
	defer removeRoots(disks)

	obj, err := newObjectLayer(ctx, mustGetPoolEndpoints(0, disks...))
	if err != nil {
		t.Fatal("Unexpected object layer initialization error", err)
	}

                if (logger.isDebugEnabled()) {
                    logger.debug("Metadata response.", e);
                }
                saveInfo(e.getMessageCode());
            } else {
                logger.warn("Failed to process metadata.", e);
                saveError(e.getMessageCode());
            }
            return redirect(LoginAction.class);
        }
    }

    @Execute
    public ActionResponse logout() {

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/gitbucket/gitbucket/blob/master/LICENSE)

## Resumen

Fess es un servidor de búsqueda empresarial muy potente y fácil de desplegar. Puedes instalar y ejecutar Fess rápidamente en cualquier plataforma que sea capaz de ejecutar el entorno de ejecución de Java (Java Runtime Environment). Fess se distribuye bajo la [Licencia Apache 2.0](LICENSE).

   *
   * In part because Cells are relatively large, we avoid creating
   * them until they are needed.  When there is no contention, all
   * updates are made to the base field.  Upon first contention (a
   * failed CAS on base update), the table is initialized to size 2.
   * The table size is doubled upon further contention until
   * reaching the nearest power of two greater than or equal to the