protected void finalize() {
                finalizerRan.countDown();
              }
            });

    await(finalizerRan);
    awaitClear(ref);

    // Hope to catch some stragglers queued up behind our finalizable object
    System.runFinalization();
  }

  private static RuntimeException formatRuntimeException(String format, Object... args) {

		Help:      "Total number of objects queued for replication in the last full minute",
		Type:      gaugeMetric,
	}
}

func getClusterReplCurrQueuedBytesMD() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: replicationSubsystem,
		Name:      currInQueueBytes,
		Help:      "Total number of bytes queued for replication in the last full minute",

- Sometimes, the scheduler incorrectly placed a pod in the "unschedulable" queue instead of the "backoff" queue. This happened when some plugin previously declared the pod as "unschedulable" and then in a later attempt encounters some other error. Scheduling of that pod then got delayed by up to five minutes, after which periodic flushing moved the pod back into the "active" queue. ([#120334](https://github.com/kubernetes/kubernetes/pull/120334), [@pohly](https://github.com/pohly))...

#### Instalar `openapi-ts`

Puedes instalar `openapi-ts` en tu código de frontend con:

<div class="termy">

```console
$ npm install @hey-api/openapi-ts --save-dev

---> 100%
```

</div>

#### Generar el Código del Cliente

Para generar el código del cliente puedes usar la aplicación de línea de comandos `openapi-ts` que ahora estaría instalada.

		if serverDebugLog {
			fmt.Printf("Task in the queue: %#v\n", task)
		}
	case <-h.ctx.Done():
		return nil
	}

	countOKDrives := func(drives []madmin.HealDriveInfo) (count int) {
		for _, drive := range drives {
			if drive.State == madmin.DriveStateOk {
				count++
			}
		}
		return count
	}

	// task queued, now wait for the response.
	select {
	case res := <-task.respCh:

    startNs = queue.taskRunner.backend.nanoTime()
    log(task, queue, "starting")
  }

  var completedNormally = false
  try {
    val result = block()
    completedNormally = true
    return result
  } finally {
    if (loggingEnabled) {
      val elapsedNs = queue.taskRunner.backend.nanoTime() - startNs
      if (completedNormally) {
        log(task, queue, "finished run in ${formatDuration(elapsedNs)}")

## Ejecución al Iniciar

En la mayoría de los casos, cuando creas una API web, quieres que esté **siempre en ejecución**, ininterrumpida, para que tus clientes puedan acceder a ella en cualquier momento. Esto, por supuesto, a menos que tengas una razón específica para que se ejecute solo en ciertas situaciones, pero la mayoría de las veces quieres que esté constantemente en ejecución y **disponible**.

### En un Servidor Remoto

  }

  @Test fun taskFailsWithUncheckedException() {
    queue.schedule("task", TimeUnit.MILLISECONDS.toNanos(100)) {
      log.put("failing task running")
      throw RuntimeException("boom!")
    }

    queue.schedule("task", TimeUnit.MILLISECONDS.toNanos(200)) {
      log.put("normal task running")
      return@schedule -1L
    }

    queue.idleLatch().await(500, TimeUnit.MILLISECONDS)

 * }
 * </pre>
 */
public class ESSourceReader implements DocumentReader {
    private static final Logger logger = LogManager.getLogger(ESSourceReader.class);

    /** Queue of documents. */
    protected final Queue<Map<String, Object>> queue = new ConcurrentLinkedQueue<>();
    /** Flag indicating if reading is finished. */
    protected final AtomicBoolean isFinished = new AtomicBoolean(false);
    /** Random number generator. */

        this.filterIndex = filterIndex;
    }

    /**
     * Returns the number of queue shards.
     * @return The number of queue shards.
     */
    public int getQueueShards() {
        return queueShards;
    }

    /**
     * Sets the number of queue shards.
     * @param queueShards The number of queue shards.
     */
    public void setQueueShards(final int queueShards) {