atomic.AddUint64(&m.bytesSinceLastWindow, bytes)
}

// 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

		return e.aggregate.runningSum, err

	case aggFnMin:
		if !e.aggregate.seen {
			// No rows were seen by MIN
			return FromNull(), nil
		}
		return e.aggregate.runningMin, nil

	case aggFnMax:
		if !e.aggregate.seen {
			// No rows were seen by MAX
			return FromNull(), nil
		}
		return e.aggregate.runningMax, nil

	case aggFnSum:
		// TODO: check if returning 0 when no rows were seen

		cl.forwardTo(cm.UpdatedAt)
		merged.UpdatedAt = cm.UpdatedAt
	}

	for i := range cl.Bins {
		merged.Bins[i] = cl.Bins[i].add(cm.Bins[i])
	}

	return merged
}

// DailyAllTierStats is used to aggregate last day tier stats across MinIO servers
type DailyAllTierStats map[string]lastDayTierStats

func (l DailyAllTierStats) merge(m DailyAllTierStats) {
	for tier, st := range m {
		l[tier] = l[tier].merge(st)
	}
}

		result.combine(e.DateDiff.Timestamp2.analyze(s))
		return result

	// Handle aggregation function calls
	case aggFnAvg, aggFnMax, aggFnMin, aggFnSum, aggFnCount:
		// Initialize accumulator
		e.aggregate = newAggVal(funcName)

		var exprA qProp
		if funcName == aggFnCount {
			if e.Count.StarArg {
				return qProp{isAggregation: true}
			}

			exprA = e.Count.ExprArg.analyze(s)
		} else {

All metrics returned are from server-side reports. This means that latencies
and error rates are from the perspective of the service itself and not of an
individual client (or aggregate set of clients). Rates and latencies are
calculated over a time interval of 1 minute.
`,
		Example: `  # Retrieve workload metrics for productpage-v1 workload
  istioctl experimental metrics productpage-v1

		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrParseNonUnaryAggregateFunctionCall: {
		Code:           "ParseNonUnaryAggregateFunctionCall",
		Description:    "Only one argument is supported for aggregate functions in the SQL expression.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrParseMalformedJoin: {
		Code:           "ParseMalformedJoin",
		Description:    "JOIN is not supported in the SQL expression.",

	atomic.AddUint64(&m.bytesSinceLastWindow, bytes)
}

// updateExponentialMovingAverage processes the measurements captured so far.
func (m *rateMeasurement) 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

	Trim      *TrimFunc      `parser:"| @@"`
	DateAdd   *DateAddFunc   `parser:"| @@"`
	DateDiff  *DateDiffFunc  `parser:"| @@"`

	// Used during evaluation for aggregation funcs
	aggregate *aggVal
}

// SimpleArgFunc represents functions with simple expression
// arguments.
type SimpleArgFunc struct {

			aggr.Merge(&disk)
		}
		m.Aggregated.Disk = &aggr
	}

	if types.Contains(madmin.MetricsScanner) {
		metrics := globalScannerMetrics.report()
		m.Aggregated.Scanner = &metrics
	}
	if types.Contains(madmin.MetricsOS) {
		metrics := globalOSMetrics.report()
		m.Aggregated.OS = &metrics
	}
	if types.Contains(madmin.MetricsBatchJobs) {
		m.Aggregated.BatchJobs = globalBatchJobsMetrics.report(opts.jobID)
	}

		m.Merge(&mLocal)

		mRemote := collectRemoteMetrics(ctx, madmin.MetricsBatchJobs, collectMetricsOpts{})
		m.Merge(&mRemote)

		if m.Aggregated.BatchJobs == nil {
			return
		}

		for _, mj := range m.Aggregated.BatchJobs.Jobs {
			jtype := toSnake(mj.JobType)
			var objects, objectsFailed float64
			var bucket string
			switch madmin.BatchJobType(mj.JobType) {