docMap.put("_id", "docid1");

        boolean result = thumbnailManager.offer(docMap);
        assertFalse(result);
    }

    // Test offer with full queue
    @Test
    public void test_offer_fullQueue() {
        thumbnailManager.setThumbnailTaskQueueSize(1);
        thumbnailManager.init();

        TestThumbnailGenerator generator = new TestThumbnailGenerator();

    }

    throw firstException!!
  }

  /**
   * Returns non-null if we don't need to wait for the launched result. In such cases, this result
   * must be processed before whatever is waiting in the queue because we may have already acquired
   * its connection.
   */
  private fun launchTcpConnect(): ConnectResult? {
    val plan =
      when {
        routePlanner.hasNext() -> {
          try {

			skip = act.Delete() && !act.DeleteRestored()
		}
	}

	fiv, err := obj.fileInfoVersions(o.Bucket)
	if err != nil {
		return skip
	}

	// Expire all versions if needed, if not attempt to queue for replication.
	for _, version := range fiv.Versions {
		objInfo := version.ToObjectInfo(o.Bucket, obj.name, versioned)

		if o.Lifecycle != nil {

			sm.ActiveWorkers.Max += peer.ActiveWorkers.Max
		}
		sm.Queued.Avg.Bytes += peer.Queued.Avg.Bytes
		sm.Queued.Avg.Count += peer.Queued.Avg.Count
		sm.Queued.Curr.Bytes += peer.Queued.Curr.Bytes
		sm.Queued.Curr.Count += peer.Queued.Curr.Count
		if peer.Queued.Max.Count > sm.Queued.Max.Count {
			sm.Queued.Max.Bytes = peer.Queued.Max.Bytes
			sm.Queued.Max.Count = peer.Queued.Max.Count
		}
		sm.ReplicaCount += peer.ReplicaCount

				_ = syscall.SetsockoptInt(fd, syscall.IPPROTO_TCP, unix.TCP_NODELAY, 1)
				_ = syscall.SetsockoptInt(fd, syscall.SOL_TCP, unix.TCP_CORK, 0)
			}

			// Enable TCP open
			// https://lwn.net/Articles/508865/ - 32k queue size.
			_ = syscall.SetsockoptInt(fd, syscall.SOL_TCP, unix.TCP_FASTOPEN, 32*1024)

			// Enable TCP fast connect
			// TCPFastOpenConnect sets the underlying socket to use

They tend to require more complex configurations, a message/job queue manager, like RabbitMQ or Redis, but they allow you to run background tasks in multiple processes, and especially, in multiple servers.

Ces outils nécessitent généralement des configurations plus complexes ainsi qu'un gestionnaire de queue de message, comme RabbitMQ ou Redis, mais ils permettent d'exécuter des tâches d'arrière-plan dans différents process, et surtout, sur plusieurs serveurs.

import java.util.NavigableMap;
import java.util.NavigableSet;
import java.util.Optional;
import java.util.OptionalDouble;
import java.util.OptionalInt;
import java.util.OptionalLong;
import java.util.Queue;
import java.util.Random;
import java.util.Set;
import java.util.SortedMap;
import java.util.SortedSet;
import java.util.UUID;
import java.util.concurrent.BlockingDeque;

            throw e;
        }
        saveInfo(messages -> messages.addSuccessStartedDataUpdate(GLOBAL));
        return redirect(getClass());
    }

    /**
     * Clears all crawler indices including queue, data, and filter indices.
     *
     * @param form the action form (validated but not used for configuration)
     * @return HTML response redirecting to the maintenance page
     */
    @Execute

Sie erfordern in der Regel komplexere Konfigurationen und einen Nachrichten-/Job-Queue-Manager wie RabbitMQ oder Redis, ermöglichen Ihnen jedoch die Ausführung von Hintergrundtasks in mehreren Prozessen und insbesondere auf mehreren Servern.