{Name: "FLOAT32", DBName: "ffloat32", BindNames: []string{"FLOAT32"}, DataType: schema.Float, Creatable: true, Updatable: true, Readable: true, Size: 32, Tag: `gorm:"column:ffloat32"`},
		{Name: "FLOAT64", DBName: "ffloat64", BindNames: []string{"FLOAT64"}, DataType: schema.Float, Creatable: true, Updatable: true, Readable: true, Size: 64, Tag: `gorm:"column:ffloat64"`},

			r.opts.HeaderSize = 0
			need = int(math.Min(float64(b-hdr), float64(need))) // use remaining tokens towards payload
			tokens = need + hdr

		} else { // part of header can be accommodated
			r.opts.HeaderSize -= b - 1
			need = 1 // to ensure we read at least one byte for every Read
			tokens = b
		}
	} else { // all tokens go towards payload
		need = int(math.Min(float64(b), float64(need)))
		tokens = need
	}

	m.Set(scannerBucketScansFinished, float64(globalScannerMetrics.lifetime(scannerMetricScanBucketDrive)))
	m.Set(scannerBucketScansStarted, float64(globalScannerMetrics.lifetime(scannerMetricScanBucketDrive)+uint64(globalScannerMetrics.activeDrives())))
	m.Set(scannerDirectoriesScanned, float64(globalScannerMetrics.lifetime(scannerMetricScanFolder)))
	m.Set(scannerObjectsScanned, float64(globalScannerMetrics.lifetime(scannerMetricScanObject)))

	}
	if count > 0 {
		lrg := XferStats{
			Avg:  lavg / float64(count),
			Curr: lcurr / float64(count),
			Peak: lpeak,
		}
		sml := XferStats{
			Avg:  savg / float64(count),
			Curr: scurr / float64(count),
			Peak: speak,
		}
		qs.XferStats[Large] = lrg
		qs.XferStats[Small] = sml
		qs.XferStats[Total] = XferStats{
			Avg:  (savg + lavg) / float64(count),
			Curr: (lcurr + scurr) / float64(count),

			case uint:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint8:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint16:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint32:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case uint64:
				field.ReflectValueOf(ctx, value).SetFloat(float64(data))
			case []byte:

			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api"},
	)
	bucketHTTPRequestsDuration = prometheus.NewHistogramVec(
		prometheus.HistogramOpts{
			Name:    "s3_ttfb_seconds",
			Help:    "Time taken by requests served by current MinIO server instance per bucket",
			Buckets: []float64{.05, .1, .25, .5, 1, 2.5, 5, 10},
		},
		[]string{"api", "bucket"},
	)

		return err
	}

	m.Set(memTotal, float64(memMetrics.Total))
	m.Set(memUsed, float64(memMetrics.Used))
	usedPerc := float64(memMetrics.Used) * 100 / float64(memMetrics.Total)
	m.Set(memUsedPerc, usedPerc)
	m.Set(memFree, float64(memMetrics.Free))
	m.Set(memBuffers, float64(memMetrics.Buffers))
	m.Set(memCache, float64(memMetrics.Cache))
	m.Set(memShared, float64(memMetrics.Shared))

	audit := logger.CurrentStats()
	for id, st := range audit {
		labels := []string{targetID, id}
		m.Set(auditFailedMessages, float64(st.FailedMessages), labels...)
		m.Set(auditTargetQueueLength, float64(st.QueueLength), labels...)
		m.Set(auditTotalMessages, float64(st.TotalMessages), labels...)
	}

	return nil

		if globalExpiryState != nil {
			expPendingTasks.Value = float64(globalExpiryState.PendingTasks())
			expMissedTasks.Value = float64(globalExpiryState.stats.MissedTasks())
			expMissedFreeVersions.Value = float64(globalExpiryState.stats.MissedFreeVersTasks())
			expMissedTierJournalTasks.Value = float64(globalExpiryState.stats.MissedTierJournalTasks())
			expNumWorkers.Value = float64(globalExpiryState.stats.NumWorkers())
		}

					m.Set(bucketReplProxiedHeadRequestsTotal, float64(s.ProxyStats.HeadTotal), labels...)
					m.Set(bucketReplProxiedPutTaggingRequestsFailures, float64(s.ProxyStats.PutTagFailedTotal), labels...)
					m.Set(bucketReplProxiedPutTaggingRequestsTotal, float64(s.ProxyStats.PutTagTotal), labels...)
					m.Set(bucketReplSentCount, float64(stat.ReplicatedCount), labels...)