* <p>
     * This method will attempt
     * to resolve SIDs using a cache and cache the results of any SIDs that
     * required resolving with the authority. SID cache entries are currently not
     * expired because under normal circumstances SID information never changes.
     *
     * @param authorityServerName
     *            The hostname of the server that should be queried. For maximum efficiency this should be the hostname

"recaptcha-type")||"image";if(!f)throw new Error("Google reCaptcha site key is required.");var j=grecaptcha.render(e,{sitekey:f,theme:g,size:h,type:i,callback:function(a){b.find('[data-validation~="recaptcha"]').trigger("validation",a&&""!==a)},"expired-callback":function(){b.find('[data-validation~="recaptcha"]').trigger("validation",!1)}});d.valAttr("recaptcha-widget-id",j).hide().on("beforeValidation",function(a){a.stopImmediatePropagation()}).parent().append(e)})})},a(b).on("validatorsLoaded...

      Header("content-range", ""),
      Header("content-type", ""),
      Header("cookie", ""),
      Header("date", ""),
      Header("etag", ""),
      Header("expect", ""),
      Header("expires", ""),
      Header("from", ""),
      Header("host", ""),
      Header("if-match", ""),
      Header("if-modified-since", ""),
      Header("if-none-match", ""),
      Header("if-range", ""),

That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.

            attributes.put("refreshtoken", tr.getRefreshToken() == null ? "null" : tr.getRefreshToken());
            attributes.put("tokentype", tr.getTokenType());
            attributes.put("expire", tr.getExpiresInSeconds());
            attributes.put("jwtheader", jwtHeader);
            attributes.put("jwtclaim", jwtClaim);
            attributes.put("jwtsign", jwtSigniture);

        try {
            rateLimiter.checkAttempt(username, ip);
            fail("Should be locked out");
        } catch (SmbException e) {
            // Expected
        }

        // Wait for lockout to expire
        Thread.sleep(2100); // Lockout is 2 seconds in test setup

        // Should be allowed again
        assertTrue(rateLimiter.checkAttempt(username, ip), "Should be allowed after lockout expiry");
    }

	NowFunc func() time.Time
	// DryRun generate sql without execute
	DryRun bool
	// PrepareStmt executes the given query in cached statement
	PrepareStmt bool
	// PrepareStmt cache support LRU expired,
	// default maxsize=int64 Max value and ttl=1h
	PrepareStmtMaxSize int
	PrepareStmtTTL     time.Duration

	// DisableAutomaticPing
	DisableAutomaticPing bool
	// DisableForeignKeyConstraintWhenMigrating

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space.

### Solution

To exclude objects under a list of prefix (glob) patterns from being versioned, you can send the following versioning configuration with Status set to `Enabled`.

				objectsFailed = float64(mj.KeyRotate.ObjectsFailed)
				bucket = mj.KeyRotate.Bucket
			case madmin.BatchJobExpire:
				objects = float64(mj.Expired.Objects)
				objectsFailed = float64(mj.Expired.ObjectsFailed)
				bucket = mj.Expired.Bucket
			}
			metrics = append(metrics,
				MetricV2{
					Description: MetricDescription{
						Namespace: bucketMetricNamespace,
						Subsystem: "batch",

    protected String loggerName = "fess.log.crawler.stats";

    /** Maximum number of statistics objects to cache. */
    protected long maxCacheSize = 1000;

    /** Time in milliseconds after which cache entries expire after write. */
    protected long cacheExpireAfterWrite = 10 * 60 * 1000L;

    /** Cache for storing statistics objects keyed by crawler object identifiers. */
    protected LoadingCache<String, StatsObject> statsCache;