{Name: "subquery_having_3", Age: 30},
		{Name: "subquery_having_4", Age: 40},
	}
	DB.Create(&users)

	var results []User
	DB.Select("AVG(age) as avgage").Where("name LIKE ?", "subquery_having%").Group("name").Having("AVG(age) > (?)", DB.
		Select("AVG(age)").Where("name LIKE ?", "subquery_having%").Table("users")).Find(&results)

	if len(results) != 2 {

	st := globalReplicationStats.Load()
	if st == nil {
		return nil
	}

	qs := st.getNodeQueueStatsSummary()

	qt := qs.QStats
	m.Set(replicationAverageQueuedBytes, float64(qt.Avg.Bytes))
	m.Set(replicationAverageQueuedCount, float64(qt.Avg.Count))
	m.Set(replicationMaxQueuedBytes, float64(qt.Max.Bytes))
	m.Set(replicationMaxQueuedCount, float64(qt.Max.Count))
	m.Set(replicationLastMinuteQueuedBytes, float64(qt.Curr.Bytes))

        System.out.printf("Buffer Cache Performance: %d allocs, %d releases in %.2f ms%n", allocations.get(), releases.get(),
                overallTimeMs);
        System.out.printf("  Avg allocation time: %.2f ns%n", avgAllocTimeNs);
        System.out.printf("  Avg release time: %.2f ns%n", avgReleaseTimeNs);

        // Verify O(1) performance - should be reasonably fast (allowing for JVM overhead)

    //                                                                            ========

    protected AvgAggregationBuilder regAvgA(String name, String field) {
        AvgAggregationBuilder builder = AggregationBuilders.avg(name).field(field);
        regA(builder);
        return builder;
    }

    protected MaxAggregationBuilder regMaxA(String name, String field) {

	labels = append(labels, "api", "")
	lastIdx := len(labels) - 1
	for apiName, latency := range disk.Metrics.LastMinute {
		labels[lastIdx] = "storage." + apiName
		m.Set(driveAPILatencyMicros, float64(latency.Avg().Microseconds()),
			labels...)
	}
}

func (m *MetricValues) setDriveIOStatMetrics(ioStats driveIOStatMetrics, labels []string) {
	m.Set(driveReadsPerSec, ioStats.readsPerSec, labels...)

		if err != nil {
			m.Errors = append(m.Errors, fmt.Sprintf("%s: %v (cpuCount)", byHostName, err.Error()))
		} else {
			m.Aggregated.CPU.CPUCount = cpuCount
		}

		loadStat, err := load.Avg()
		if err != nil {
			m.Errors = append(m.Errors, fmt.Sprintf("%s: %v (loadStat)", byHostName, err.Error()))
		} else {
			m.Aggregated.CPU.LoadStat = loadStat
		}
	}
	if types.Contains(madmin.MetricsRPC) {

    //                                                                            ========

    protected AvgAggregationBuilder regAvgA(String name, String field) {
        AvgAggregationBuilder builder = AggregationBuilders.avg(name).field(field);
        regA(builder);
        return builder;
    }

    protected MaxAggregationBuilder regMaxA(String name, String field) {

    //                                                                            ========

    protected AvgAggregationBuilder regAvgA(String name, String field) {
        AvgAggregationBuilder builder = AggregationBuilders.avg(name).field(field);
        regA(builder);
        return builder;
    }

    protected MaxAggregationBuilder regMaxA(String name, String field) {

				Value:       float64(qs.MRFStats.LastFailedCount),
			}

			if qs.QStats.Avg.Count > 0 || qs.QStats.Curr.Count > 0 {
				qt := qs.QStats
				currInQueueBytes.Value = qt.Curr.Bytes
				currInQueueCount.Value = qt.Curr.Count
				avgQueueBytes.Value = qt.Avg.Bytes
				avgQueueCount.Value = qt.Avg.Count
				maxQueueBytes.Value = qt.Max.Bytes
				maxQueueCount.Value = qt.Max.Count
			}

	for _, peer := range peerSMetricsList {
		sm.ActiveWorkers.Avg += peer.ActiveWorkers.Avg
		sm.ActiveWorkers.Curr += peer.ActiveWorkers.Curr
		if peer.ActiveWorkers.Max > sm.ActiveWorkers.Max {
			sm.ActiveWorkers.Max += peer.ActiveWorkers.Max
		}
		sm.Queued.Avg.Bytes += peer.Queued.Avg.Bytes
		sm.Queued.Avg.Count += peer.Queued.Avg.Count
		sm.Queued.Curr.Bytes += peer.Queued.Curr.Bytes