TgtXferStats  map[string]map[RMetricName]XferStats `json:"tgtTransferStats"`
	QStats        InQueueMetric                        `json:"queueStats"`
	MRFStats      ReplicationMRFStats                  `json:"mrfStats"`
}

// getNodeQueueStats returns replication operational stats at the node level
func (r *ReplicationStats) getNodeQueueStats(bucket string) (qs ReplQNodeStats) {

		m.Set(replicationAverageDataTransferRate, tots.Avg)
		m.Set(replicationCurrentDataTransferRate, tots.Curr)
		m.Set(replicationMaxDataTransferRate, tots.Peak)
	}
	m.Set(replicationRecentBacklogCount, float64(qs.MRFStats.LastFailedCount))

	return nil

	srStats *SRStats
	// active worker stats
	workers *ActiveWorkerStat
	// queue stats cache
	qCache queueCache

	pCache proxyStatsCache
	// mrf backlog stats
	mrfStats ReplicationMRFStats
	// for bucket replication, continue to use existing cache
	Cache             map[string]*BucketReplicationStats
	mostRecentStats   BucketStatsMap
	registry          metrics.Registry

		atomic.AddUint64(&p.stats.mrfStats.TotalDroppedCount, 1)
		atomic.AddUint64(&p.stats.mrfStats.TotalDroppedBytes, uint64(entry.sz))
		return
	}

	select {
	case <-GlobalContext.Done():
		return
	case <-p.mrfStopCh:
		return
	default:
		select {
		case p.mrfSaveCh <- entry:
		default:
			atomic.AddUint64(&p.stats.mrfStats.TotalDroppedCount, 1)

			}
			maxTransferRate := MetricV2{
				Description: getClusterReplMaxTransferRateMD(),
			}
			mrfCount := MetricV2{
				Description: getClusterReplMRFFailedOperationsMD(),
				Value:       float64(qs.MRFStats.LastFailedCount),
			}

			if qs.QStats.Avg.Count > 0 || qs.QStats.Curr.Count > 0 {
				qt := qs.QStats
				currInQueueBytes.Value = qt.Curr.Bytes
				currInQueueCount.Value = qt.Curr.Count