Esto es muy útil cuando necesitas:

* Tener lógica compartida (la misma lógica de código una y otra vez).
* Compartir conexiones a bases de datos.
* Imponer seguridad, autenticación, requisitos de roles, etc.
* Y muchas otras cosas...

Todo esto, mientras minimizas la repetición de código.

## Primeros Pasos { #first-steps }

Veamos un ejemplo muy simple. Será tan simple que no es muy útil, por ahora.

   * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit
   * does not normally minimize that error: to do that, you should swap the roles of {@code x} and
   * {@code y}.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link

        public MockSuggestDeleteResponse deleteQueryWords() {
            return new MockSuggestDeleteResponse();
        }

        public void indexFromSearchWord(String searchWord, String[] fields, String[] tags, String[] roles, int weight, String[] langs) {
            // Mock implementation
        }

        public void deleteElevateWord(String word, boolean apply) {
            // Mock implementation
        }

**Via Admin UI**:
1. Navigate to **System > Backup**
2. Select configuration items to export:
   - Web Crawling Config
   - File Crawling Config
   - Data Store Config
   - Scheduled Jobs
   - Users and Roles
   - System Settings
3. Click **Export**
4. Download JSON file

**Via API**:
```bash
# Export all configurations
curl -X GET "http://localhost:8080/api/admin/backup/export" \
  -u admin:admin \

        while (parser.getEventType() == XmlPullParser.START_TAG) {
            // update properties inside the bean, guided by the cached property map
            final BeanProperty<Object> property = propertyMap.get(Roles.camelizeName(parser.getName()));
            if (property != null) {
                property.set(bean, parse(parser, property.getType()));
                parser.nextTag();
            } else {

C’est très utile lorsque vous avez besoin de :

* Avoir de la logique partagée (la même logique de code encore et encore).
* Partager des connexions à la base de données.
* Imposer la sécurité, l’authentification, des exigences de rôles, etc.
* Et bien d’autres choses ...

Tout cela, en minimisant la répétition de code.

## Premiers pas { #first-steps }

   * fraction {@code sqrt(1/(R*R) - 1)} of the population standard deviation of {@code x}. This fit
   * does not normally minimize that error: to do that, you should swap the roles of {@code x} and
   * {@code y}.
   *
   * <h3>Non-finite values</h3>
   *
   * <p>If the dataset contains any non-finite values ({@link Double#POSITIVE_INFINITY}, {@link

chable\":true,\"aggregatable\":true,\"readFromDocValues\":true},{\"name\":\"responseTime\",\"type\":\"number\",\"esTypes\":[\"long\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":true},{\"name\":\"roles\",\"type\":\"string\",\"esTypes\":[\"keyword\"],\"count\":0,\"scripted\":false,\"searchable\":true,\"aggregatable\":true,\"readFromDocValues\":true},{\"name\":\"searchField._default\",\"type\":\"string\",\"esTypes\":[\"keyword\"],\"count\":0,\"scr...

// The bytes written matches the number of remaining bytes in the current file.
//
// If the current file is sparse and w is an io.WriteSeeker,
// then writeTo uses Seek to skip past holes defined in Header.SparseHoles,
// assuming that skipped regions are filled with NULs.
// This always writes the last byte to ensure w is the right size.
//
// TODO(dsnet): Re-export this when adding sparse file support.

 * intermediate certificate, "Entrust Certification Authority - L1M". The intermediate certificate
 * is used to verify the signature of the "www.squareup.com" certificate.
 *
 * This roles are reversed for client authentication. In that case the client has a private key and
 * a chain of certificates. The server uses a set of trusted root certificates to authenticate the