// InQueueMetric holds queue stats for replication
type InQueueMetric struct {
	Curr QStat `json:"curr" msg:"cq"`
	Avg  QStat `json:"avg" msg:"aq"`
	Max  QStat `json:"max" msg:"pq"`
}

func (qm InQueueMetric) merge(o InQueueMetric) InQueueMetric {
	return InQueueMetric{
		Curr: qm.Curr.add(o.Curr),
		Avg:  qm.Avg.add(o.Avg),
		Max:  qm.Max.add(o.Max),
	}
}

type queueCache struct {
	srQueueStats InQueueStats

		qs.TgtXferStats[arn][Large] = XferStats{
			Avg:  v.XferRateLrg.Avg,
			Curr: lcurrTgt,
			Peak: math.Max(v.XferRateLrg.Peak, lcurrTgt),
		}
		qs.TgtXferStats[arn][Small] = XferStats{
			Avg:  v.XferRateSml.Avg,
			Curr: scurrTgt,
			Peak: math.Max(v.XferRateSml.Peak, scurrTgt),
		}
		if tcount > 0 {
			qs.TgtXferStats[arn][Total] = XferStats{
				Avg:  (v.XferRateLrg.Avg + v.XferRateSml.Avg) / float64(tcount),

				err = msgp.WrapError(err, "Avg")
				return
			}
			for zb0003 > 0 {
				zb0003--
				field, err = dc.ReadMapKeyPtr()
				if err != nil {
					err = msgp.WrapError(err, "Avg")
					return
				}
				switch msgp.UnsafeString(field) {
				case "Count":
					z.Avg.Count, err = dc.ReadFloat64()
					if err != nil {
						err = msgp.WrapError(err, "Avg", "Count")
						return
					}

	// metrics-resource.go runs a job to collect resource metrics including their Avg values and
	// stores them in resourceMetricsMap. We can use it to get the Avg values of CPU idle and IOWait.
	cpuResourceMetrics, found := resourceMetricsMap[cpuSubsystem]
	if found {
		if cpuIdleMetric, ok := cpuResourceMetrics[getResourceKey(cpuIdle, nil)]; ok {
			avgVal := math.Round(cpuIdleMetric.Avg*100) / 100
			m.Set(sysCPUAvgIdle, avgVal)
		}

}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *bucketMeasurement) updateExponentialMovingAverage(endTime time.Time) {
	// Calculate aggregate avg bandwidth and exp window avg
	m.lock.Lock()
	defer func() {
		m.startTime = endTime
		m.lock.Unlock()
	}()

	if m.startTime.IsZero() {
		return
	}

	if endTime.Before(m.startTime) {
		return
	}

}

type latencyStat struct {
	lastmin lastMinuteLatency
	curr    time.Duration
	avg     time.Duration
	peak    time.Duration
	N       int64
}

func (l *latencyStat) update(d time.Duration) {
	l.lastmin.add(d)
	l.N++
	if d > l.peak {
		l.peak = d
	}
	l.curr = l.lastmin.getTotal().avg()
	l.avg = time.Duration((int64(l.avg)*(l.N-1) + int64(l.curr)) / l.N)
}

	})

	if requireAvgMax {
		avgName := MetricName(fmt.Sprintf("%s_avg", name))
		avgHelp := fmt.Sprintf("%s (avg)", help)
		metrics = append(metrics, MetricV2{
			Description:    getResourceMetricDescription(subSys, avgName, avgHelp),
			Value:          math.Round(rm.Avg*100) / 100,
			VariableLabels: cloneMSS(rm.Labels),
		})

		maxName := MetricName(fmt.Sprintf("%s_max", name))

		// Return empty metrics when not configured.
		return Metrics{}
	}
	o.serviceMetrics.Lock()
	defer o.serviceMetrics.Unlock()
	l := &o.serviceMetrics.lastFullMinute
	var avg float64
	if l.successRequestCount > 0 {
		avg = l.rttMsSum / float64(l.successRequestCount)
	}
	now := time.Now().UTC()
	return Metrics{
		LastReachableSecs:   now.Sub(o.serviceMetrics.LastCheckSuccess).Seconds(),

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package sql

import (
	"errors"
	"fmt"
)

// Aggregation Function name constants
const (
	aggFnAvg   FuncName = "AVG"
	aggFnCount FuncName = "COUNT"
	aggFnMax   FuncName = "MAX"
	aggFnMin   FuncName = "MIN"
	aggFnSum   FuncName = "SUM"
)

var (
	errNonNumericArg = func(fnStr FuncName) error {

			metric.TotalDowntime = epHealth.offlineDuration
			metric.LastOnline = epHealth.lastOnline
			metric.Online = epHealth.Online
			metric.Latency = madmin.LatencyStat{
				Curr: epHealth.latency.curr,
				Avg:  epHealth.latency.avg,
				Max:  epHealth.latency.peak,
			}
		}
		m[dID] = metric
	}
	return m
}

func (srs *SRStatus) updateXferRate(sz int64, duration time.Duration) {
	if sz > minLargeObjSize {