* The cache is configured with a maximum size of 100 entries and expires after 10 minutes.
     */
    @PostConstruct
    public void init() {
        if (logger.isDebugEnabled()) {
            logger.debug("Initialize {}", this.getClass().getSimpleName());
        }
        crawlingConfigCache = CacheBuilder.newBuilder().maximumSize(100).expireAfterWrite(10, TimeUnit.MINUTES).build();
    }

    /**

## Implementation

ILM tiering takes place when a object placed in the bucket meets lifecycle transition rules and becomes eligible for tiering. MinIO scanner (which runs at one minute intervals, each time scanning one sixteenth of the namespace), picks up the object for tiering. The data is moved to the remote tier in entirety, leaving only the object metadata on MinIO.

## Configuring OpenID Identity Provider on MinIO

                        .maximumSize(fessConfig.getSuggestPopularWordCacheSizeAsInteger().longValue())
                        .expireAfterWrite(fessConfig.getSuggestPopularWordCacheExpireAsInteger().longValue(), TimeUnit.MINUTES)
                        .build();
            }
        };
        popularWordHelper.init();
    }

    public void test_getCacheKey_allParameters() {
        String seed = "test_seed";

        helper.init();

        assertNotNull(helper.userInfoCache);
        assertNotNull(helper.searchLogLogger);
    }

    public void test_setUserCheckInterval() {
        long interval = 5 * 60 * 1000L; // 5 minutes
        searchLogHelper.setUserCheckInterval(interval);
        assertEquals(interval, searchLogHelper.userCheckInterval);
    }

    public void test_setUserInfoCacheSize() {
        int cacheSize = 5000;

	req := mustNewRequest(method, urlStr, contentLength, body, t)
	cred := globalActiveCred
	if err := preSignV2(req, cred.AccessKey, cred.SecretKey, time.Now().Add(10*time.Minute).Unix()); err != nil {
		t.Fatalf("Unable to initialized new signed http request %s", err)
	}
	return req
}

// This is similar to mustNewRequest but additionally the request

### Solo Python moderno

Todo está basado en declaraciones estándar de **tipos en Python** (gracias a Pydantic). Sin nueva sintaxis que aprender. Solo Python moderno estándar.

Si necesitas un repaso de 2 minutos sobre cómo usar tipos en Python (aunque no uses FastAPI), revisa el tutorial corto: [Tipos en Python](python-types.md){.internal-link target=_blank}.

Escribes Python estándar con tipos:

```Python
from datetime import date

     * Cache for storing resource file modification timestamps to enable cache busting.
     * The cache expires after 10 minutes and has a maximum size of 1000 entries.
     */
    private static LoadingCache<String, Long> resourceHashCache =
            CacheBuilder.newBuilder().maximumSize(1000).expireAfterWrite(10, TimeUnit.MINUTES).build(new CacheLoader<String, Long>() {
                @Override

    // Connection pool configuration
    private static final int DEFAULT_MAX_POOL_SIZE = 100;
    private static final int DEFAULT_MAX_IDLE_TIME = 300000; // 5 minutes in ms
    private static final int DEFAULT_HEALTH_CHECK_INTERVAL = 60000; // 1 minute in ms
    private static final int DEFAULT_PROACTIVE_CHECK_INTERVAL = 30000; // 30 seconds in ms
    private int maxPoolSize = DEFAULT_MAX_POOL_SIZE;

---

Avec ces informations et ces outils, passez à la section suivante pour tout combiner.

## Cluster en mode Docker Swarm avec Traefik et HTTPS

Vous pouvez avoir un cluster en mode Docker Swarm configuré en quelques minutes (environ 20 min) avec un processus Traefik principal gérant HTTPS (y compris l'acquisition et le renouvellement des certificats).