// 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

				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
					}

| `minio_node_if_rx_bytes_avg`  | Bytes received on the interface in 60s (avg) since uptime. |
| `minio_node_if_rx_bytes_max`  | Bytes received on the interface in 60s (max) since uptime. |
| `minio_node_if_rx_errors`     | Receive errors in 60s.                                     |
| `minio_node_if_rx_errors_avg` | Receive errors in 60s (avg).                               |

	})

	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(),

at\":\"HH:mm\",\"bounds\":{\"min\":\"2019-07-28T11:33:01.690Z\",\"max\":\"2019-07-30T11:33:01.690Z\"}},\"aggType\":\"date_histogram\"},\"y\":[{\"accessor\":1,\"format\":{\"id\":\"number\"},\"params\":{},\"aggType\":\"avg\"}]}},\"aggs\":[{\"id\":\"1\",\"enabled\":true,\"type\":\"avg\",\"schema\":\"metric\",\"params\":{\"field\":\"responseTime\"}},{\"id\":\"2\",\"enabled\":true,\"type\":\"date_histogram\",\"schema\":\"segment\",\"params\":{\"field\":\"requestedAt\",\"timeRange\":{\"from\":\"now-2d...

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

// SimpleArgFunc represents functions with simple expression
// arguments.
type SimpleArgFunc struct {
	FunctionName string `parser:" @(\"AVG\" | \"MAX\" | \"MIN\" | \"SUM\" |  \"COALESCE\" | \"NULLIF\" | \"TO_STRING\" | \"TO_TIMESTAMP\" | \"UTCNOW\" | \"CHAR_LENGTH\" | \"CHARACTER_LENGTH\" | \"LOWER\" | \"UPPER\") "`

import org.opensearch.search.aggregations.bucket.histogram.Histogram;
import org.opensearch.search.aggregations.bucket.terms.Terms;
import org.opensearch.search.aggregations.metrics.Avg;
import org.opensearch.search.aggregations.metrics.Cardinality;

import jakarta.annotation.Resource;

/**
 * Service class for managing search logs and related analytics.
 *

                assertTrue(variance < 50.0,
                        String.format(
                                "Extreme timing variance in concurrent operations: %.3f " + "(min: %d ns, max: %d ns, avg: %.1f ns). "
                                        + "Note: JVM timing variability is expected, constant-time implementation verified.",
                                variance, minTime, maxTime, avgTime));
            }

	if r == nil {
		return ActiveWorkerStat{}
	}
	r.wlock.RLock()
	defer r.wlock.RUnlock()
	w := r.workers.get()
	return ActiveWorkerStat{
		Curr: w.Curr,
		Max:  w.Max,
		Avg:  w.Avg,
	}
}

func (r *ReplicationStats) collectWorkerMetrics(ctx context.Context) {
	if r == nil {
		return
	}
	for {
		select {
		case <-ctx.Done():
			return
		case <-r.wTimer.C: