<div class="screenshot">
<img src="/img/tutorial/sql-databases/image01.png">
</div>

## Actualizar la App con Múltiples Modelos { #update-the-app-with-multiple-models }

Ahora vamos a **refactorizar** un poco esta aplicación para aumentar la **seguridad** y la **versatilidad**.

## Replica Modification sync

            cb.paging(fileAuthenticationPager.getPageSize(), fileAuthenticationPager.getCurrentPageNumber());
            setupListCondition(cb, fileAuthenticationPager);
        });

        // update pager
        BeanUtil.copyBeanToBean(fileAuthenticationList, fileAuthenticationPager, option -> option.include(Constants.PAGER_CONVERSION_RULE));
        fileAuthenticationPager.setPageNumberList(fileAuthenticationList.pageRange(op -> {

  /** Returns an output stream where the request body can be streamed. */
  @Throws(IOException::class)
  fun createRequestBody(
    request: Request,
    contentLength: Long,
  ): Sink

  /** This should update the HTTP engine's sentRequestMillis field. */
  @Throws(IOException::class)
  fun writeRequestHeaders(request: Request)

  /** Flush the request to the underlying socket. */
  @Throws(IOException::class)

                                        }
                                    }
                                },
                            },
                        },
                        "summary": "Update Item",
                        "operationId": "update_item_items__item_id__put",
                        "parameters": [
                            {
                                "required": True,

source "${BASH_SOURCE%/*}/utilities/setup.sh"

# Record GPU count and CUDA version status
if [[ "$TFCI_NVIDIA_SMI_ENABLE" == 1 ]]; then
  tfrun nvidia-smi
fi

# Update the version numbers for Nightly only
if [[ "$TFCI_NIGHTLY_UPDATE_VERSION_ENABLE" == 1 ]]; then
  python_bin=python3
  # TODO(belitskiy): Add a `python3` alias/symlink to Windows Docker image.

#define TENSORFLOW_C_EAGER_GRADIENTS_INTERNAL_H_

#include "tensorflow/c/eager/gradients.h"

namespace tensorflow {
namespace gradients {
namespace internal {

// Helper functions which delegate to `AbstractOperation`, update
// the state of the ForwardOperation and call the tape as appropriate.
// These APIs are mainly to facilitate testing and are subject to change.

// Records the op name in the `ForwardOperation`.

        });
        return redirect(getClass());
    }

    /**
     * Update an access token.
     * @param form The edit form.
     * @return The HTML response.
     */
    @Execute
    @Secured({ ROLE })
    public HtmlResponse update(final EditForm form) {
        verifyCrudMode(form.crudMode, CrudMode.EDIT, this::asListHtml);

            sb.append(LS).append("snapshots: [enabled => ").append(snapshots.isEnabled());
            sb.append(", update => ").append(snapshots.getUpdatePolicy()).append(']');
        }

        if (releases != null) {
            sb.append(LS).append("releases: [enabled => ").append(releases.isEnabled());
            sb.append(", update => ").append(releases.getUpdatePolicy()).append(']');
        }

 * views are modifiable.
 *
 * <p>This class is not threadsafe when any concurrent operations update the multimap. Concurrent
 * read operations will work correctly. To allow concurrent update operations, wrap your multimap
 * with a call to {@link Multimaps#synchronizedListMultimap}.
 *
 * <p>See the Guava User Guide article on <a href=