listener.transferInitiated(event(session, resource, TransferEvent.EventType.INITIATED));

            Thread.sleep(500); // to make sure queue is processed, cancellation applied

            // subsequent call will cancel
            assertThrows(
                    TransferCancelledException.class,

import static org.junit.Assert.assertThrows;

import com.google.common.collect.ImmutableList;
import java.util.ArrayDeque;
import java.util.ArrayList;
import java.util.List;
import java.util.Queue;
import java.util.concurrent.CountDownLatch;
import java.util.concurrent.CyclicBarrier;
import java.util.concurrent.ExecutionException;
import java.util.concurrent.Executor;
import java.util.concurrent.ExecutorService;

          [n]T, *[n]T      array length (== n)
          []T              slice length
          map[K]T          map length (number of defined keys)
          chan T           number of elements queued in channel buffer
          type parameter   see below

cap(s)    [n]T, *[n]T      array length (== n)
          []T              slice capacity
          chan T           channel buffer capacity

	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...)
)

result = channel.queue_declare(exclusive=False)
queue_name = result.method.queue

channel.queue_bind(exchange='bucketevents',
                   queue=queue_name)

print(' [*] Waiting for logs. To exit press CTRL+C')

def callback(ch, method, properties, body):
    print(" [x] %r" % body)

channel.basic_consume(callback,
                      queue=queue_name,
                      no_ack=False)

import static org.junit.Assert.assertThrows;

import com.google.common.util.concurrent.UncheckedExecutionException;
import java.util.ArrayList;
import java.util.List;
import java.util.Queue;
import java.util.concurrent.ConcurrentLinkedQueue;
import java.util.concurrent.ExecutionException;
import java.util.function.IntConsumer;
import java.util.stream.IntStream;
import junit.framework.TestCase;

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

import com.google.common.annotations.GwtCompatible;
import com.google.common.collect.testing.features.CollectionFeature;
import org.junit.Ignore;

/**
 * A generic JUnit test which tests offer operations on a queue. Can't be invoked directly; please
 * see {@link com.google.common.collect.testing.CollectionTestSuiteBuilder}.
 *
 * @author Jared Levy
 */
@GwtCompatible

	"http://dbflute.org/meta/lastadi10.dtd">
<components namespace="fessCrawler">
	<component name="crawlerConfig" class="org.codelibs.fess.crawler.util.FessCrawlerConfig">
		<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>