const BatchSize = 250 // We process the objects in batches - 250 is a reasonable default.
	var (
		metadata = make([]map[string]string, 0, BatchSize)
		buckets  = make([]string, 0, BatchSize)
		names    = make([]string, 0, BatchSize)
	)
	for len(objects) > 0 {
		N := min(len(objects), BatchSize)
		batch := objects[:N]

			QueueDir:           env.Get(queueDirEnv, kv.Get(target.KafkaQueueDir)),
			QueueLimit:         queueLimit,
			Version:            env.Get(versionEnv, kv.Get(target.KafkaVersion)),
			BatchSize:          uint32(batchSize),
			BatchCommitTimeout: batchCommitTimeout,
		}

		tlsEnableEnv := target.EnvKafkaTLS
		if k != config.Default {
			tlsEnableEnv = tlsEnableEnv + config.Default + k
		}

    private final int batchSize = 10;
    private final long batchTimeout = 100;  // 100ms
    
    public void addNotification(WitnessNotification notification) {
        synchronized (pendingNotifications) {
            pendingNotifications.offer(notification);
            
            if (pendingNotifications.size() >= batchSize) {
                processBatch();
            }

	}

	targetUsers := users[3:8]
	for i := 0; i < len(targetUsers); i++ {
		AssertEqual(t, results[i], targetUsers[i])
	}

	var sub1 []User
	// limit < batchSize
	if result := DB.Limit(5).Where("name = ?", users[0].Name).FindInBatches(&sub1, 10, func(tx *gorm.DB, batch int) error {
		return nil
	}); result.Error != nil || result.RowsAffected != 5 {