"Average number of active replication workers")
	replicationAverageQueuedBytesMD = NewGaugeMD(replicationAverageQueuedBytes,
		"Average number of bytes queued for replication since server start")
	replicationAverageQueuedCountMD = NewGaugeMD(replicationAverageQueuedCount,
		"Average number of objects queued for replication since server start")
	replicationAverageDataTransferRateMD = NewGaugeMD(replicationAverageDataTransferRate,

				return
			}
		case "PoolIndex":
			z.PoolIndex, err = dc.ReadInt()
			if err != nil {
				err = msgp.WrapError(err, "PoolIndex")
				return
			}
		case "Queued":
			z.Queued, err = dc.ReadTime()
			if err != nil {
				err = msgp.WrapError(err, "Queued")
				return
			}
		case "BitrotScan":
			z.BitrotScan, err = dc.ReadBool()
			if err != nil {
				err = msgp.WrapError(err, "BitrotScan")
				return
			}

const (
	_ TargetType = iota
	TargetConsole
	TargetHTTP
	TargetKafka
)

// TargetStats contains statistics for a target.
type TargetStats struct {
	// QueueLength is the queue length if any messages are queued.
	QueueLength int

	// TotalMessages is the total number of messages sent in the lifetime of the target
	TotalMessages int64

	// FailedMessages should log message count that failed to send.

	// Total number of replica received
	ReplicaCount int64 `json:"replicaCount"`
	// Queued operations
	Queued InQueueMetric `json:"queued"`
	// Proxy stats
	Proxied ProxyMetric `json:"proxied"`
	// replication metrics summary for each site replication peer
	Metrics map[string]SRMetric `json:"replMetrics"`
	// uptime of node being queried for site replication metrics
	Uptime int64 `json:"uptime"`

// but not written in all disks (having quorum)
type PartialOperation struct {
	Bucket              string
	Object              string
	VersionID           string
	Versions            []byte
	SetIndex, PoolIndex int
	Queued              time.Time
	BitrotScan          bool
}

// mrfState sncapsulates all the information
// related to the global background MRF.
type mrfState struct {
	opCh chan PartialOperation

	closed  int32

      logger.info("served $requestLine")
      return MockResponse(code = HttpURLConnection.HTTP_NOT_FOUND)
    }

    if (failFastResponse != null && responseQueue.peek() == null) {
      // Fail fast if there's no response queued up.
      return failFastResponse!!
    }

    val result = responseQueue.take()

    // If take() returned because we're shutting down, then enqueue another dead letter so that any

    // Now we find the task in our Executor and explicitly activate it.
    List<Runnable> tasks = executor.getTasks();
    assertEquals("One event dispatch task should be queued.", 1, tasks.size());

    tasks.get(0).run();

    assertEquals("One event should be delivered.", 1, events.size());
    assertWithMessage("Correct string should be delivered.").that(events.get(0)).isEqualTo(EVENT);
  }

    ready.await()
    assertThat(dispatcher.runningCallsCount()).isEqualTo(2)
    assertThat(dispatcher.queuedCallsCount()).isEqualTo(0)
    assertThat(dispatcher.runningCalls())
      .containsExactlyInAnyOrder(a1, a2)
    assertThat(dispatcher.queuedCalls()).isEmpty()

    // Cancel some calls. That doesn't impact running or queued.
    a2.cancel()
    a3.cancel()

 * on single thread, keeping the listener logic simple. This listener also blocks on last transfer event to allow
 * output to perform possible cleanup. It spawns a daemon thread to consume queued events that may fall in even
 * concurrently.
 *
 * @since 4.0.0
 */
@Deprecated
public final class SimplexTransferListener extends AbstractTransferListener {

                queueSize.incrementAndGet();
            }
        }
        // If queue is full, let the buffer be garbage collected
    }

    /**
     * Get current cache statistics for monitoring
     * @return formatted statistics string
     */
    public static String getCacheStatistics() {
        return String.format("BufferCache: queued=%d, max=%d, utilization=%.1f%%", queueSize.get(), MAX_BUFFERS,