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)
	}
}

	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

in or on a volume of a storage or distribution medium, is called an
"aggregate" if the compilation and its resulting copyright are not
used to limit the access or legal rights of the compilation's users
beyond what the individual works permit.  Inclusion of a covered work
in an aggregate does not cause this License to apply to the other
parts of the aggregate.

  6. Conveying Non-Source Forms.

		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

		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.",

		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) {

			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)
	}

		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 {

	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 {

```
sudo pip install yq
alias kv-pairify='yq ".configuration[]" | jq ".[]" | jq -r ".name + \"=\" + .value"'
```

Let's take for example a set of 12 compute nodes with an aggregate memory of _1.2TiB_, we need to do following settings for optimal results. Add the following optimal entries for _core-site.xml_ to configure _s3a_ with **MinIO**. Most important options here are

```