return cfg, err
		}
		if queueSize <= 0 {
			return cfg, errInvalidQueueSize
		}
		batchSizeCfgVal := getCfgVal(EnvLoggerWebhookBatchSize, k, kv.Get(BatchSize))
		batchSize, err := strconv.Atoi(batchSizeCfgVal)
		if err != nil {
			return cfg, err
		}
		if batchSize <= 0 {
			return cfg, errInvalidBatchSize
		}
		maxRetryCfgVal := getCfgVal(EnvLoggerWebhookMaxRetry, k, kv.Get(MaxRetry))

		} else if result.Error != nil {
			tx.AddError(result.Error)
		}

		if tx.Error != nil || int(result.RowsAffected) < batchSize {
			break
		}

		if totalSize > 0 {
			if totalSize <= int(rowsAffected) {
				break
			}
			if totalSize/batchSize == batch {
				batchSize = totalSize % batchSize
			}
		}

		// Optimize for-break
		resultsValue := reflect.Indirect(reflect.ValueOf(dest))

func New(config Config) (*Target, error) {
	maxWorkers := maxWorkers
	if config.BatchSize > 100 {
		maxWorkers = maxWorkersWithBatchEvents
	} else if config.BatchSize <= 0 {
		config.BatchSize = 1
	}

	h := &Target{
		logCh:       make(chan any, config.QueueSize),
		config:      config,
		batchSize:   config.BatchSize,
		maxWorkers:  int64(maxWorkers),
		httpTimeout: config.HTTPTimeout,
	}

        String[] botNames;
        if (StringUtil.isBlank(value)) {
            botNames = StringUtil.EMPTY_STRINGS;
        } else {
            botNames = value.split(",");
        }

        final int batchSize = fessConfig.getSearchlogProcessBatchSizeAsInteger();

        final List<SearchLog> searchLogList = new ArrayList<>();
        final Map<String, UserInfo> userInfoMap = new HashMap<>();
        while (!queue.isEmpty()) {

}

func (c createG[T]) Create(ctx context.Context, r *T) error {
	return c.g.apply(ctx).Create(r).Error
}

func (c createG[T]) CreateInBatches(ctx context.Context, r *[]T, batchSize int) error {
	return c.g.apply(ctx).CreateInBatches(r, batchSize).Error
}

type chainG[T any] struct {
	execG[T]
}

func (c chainG[T]) getInstance() *DB {
	var r T
	return c.g.apply(context.Background()).Model(r).getInstance()

	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
		}