return err
		}
	}
	if k.BatchSize > 1 {
		if k.QueueDir == "" {
			return errors.New("batch should be enabled only if queue dir is enabled")
		}
	}
	if k.BatchCommitTimeout > 0 {
		if k.QueueDir == "" || k.BatchSize <= 1 {
			return errors.New("batch commit timeout should be set only if queue dir is enabled and batch size > 1")
		}
	}
	return nil
}

// KafkaTarget - Kafka target.

MinIO server allows to throttle incoming requests:

- limit the number of active requests allowed across the cluster
- limit the wait duration for each request in the queue

These values are enabled using server's configuration or environment variables.

## Examples

### Configuring connection limit

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		<arg>crawlerConfig</arg>
	</component>

	<component name="crawlerConfig" class="org.codelibs.fess.crawler.util.OpenSearchCrawlerConfig">
		<property name="queueIndex">"fess_crawler.queue"</property>
		<property name="queueShards">5</property>
		<property name="queueReplicas">1</property>
		<property name="dataIndex">"fess_crawler.data"</property>
		<property name="dataShards">5</property>

	notificationEventsSkippedTotalMD    = NewCounterMD(notificationEventsSkippedTotal, "Events that were skipped to be sent to the targets due to the in-memory queue being full")
)

// loadClusterNotificationMetrics - `MetricsLoaderFn` for cluster notification metrics.
func loadClusterNotificationMetrics(_ context.Context, m MetricValues, _ *metricsCache) error {

	webhookFailedMessagesMD = NewCounterMD(webhookFailedMessages,
		"Number of messages that failed to send",
		allWebhookLabels...)
	webhookQueueLengthMD = NewGaugeMD(webhookQueueLength,
		"Webhook queue length",
		allWebhookLabels...)
	webhookTotalMessagesMD = NewCounterMD(webhookTotalMessages,
		"Total number of messages sent to this target",
		allWebhookLabels...)
)

 * executor, it should be able to run [the configured maximum][maxRequests] number of calls
 * concurrently.
 */
class Dispatcher() {
  /**
   * The maximum number of requests to execute concurrently. Above this requests queue in memory,
   * waiting for the running calls to complete.
   *
   * If more than [maxRequests] requests are in flight when this is invoked, those requests will
   * remain in flight.
   */
  @get:Synchronized

Beachten Sie, dass wir jetzt keine Standardinstanz `settings = Settings()` erstellen.

### Die Haupt-Anwendungsdatei { #the-main-app-file }

Jetzt erstellen wir eine Abhängigkeit, die ein neues `config.Settings()` zurückgibt.

{* ../../docs_src/settings/app02_an_py310/main.py hl[6,12:13] *}

/// tip | Tipp

Wir werden das `@lru_cache` in Kürze besprechen.

   * garbage-collected after that.
   */

  public static class MyFinalizableWeakReference extends FinalizableWeakReference<Object> {
    public MyFinalizableWeakReference(Object x, FinalizableReferenceQueue queue) {
      super(x, queue);
    }

    @Override
    public void finalizeReferent() {}
  }

  private WeakReference<ClassLoader> useFrqInSeparateLoader() throws Exception {

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