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) {

labels.searchlog_log_type_search_user_hour=User by Hour
labels.searchlog_log_type_search_user_day=User by Day
labels.searchlog_log_type_search_reqtimeavg_hour=Request Time Avg. by Hour
labels.searchlog_log_type_search_reqtimeavg_day=Request Time Avg. by Day
labels.searchlog_log_type_click_count=Click Count
labels.searchlog_log_type_favorite_count=Favorite Count
labels.searchlog_log_message=Message

    //                                                                            ========

    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) {

		participle.Lexer(sqlLexer),
		participle.CaseInsensitive("Keyword"),
		participle.CaseInsensitive("Timeword"),
	)

	validCases := []string{
		"count(*)",
		"sum(2 + s.id)",
		"sum(t)",
		"avg(s.id[1])",
		"coalesce(s.id[1], 2, 2 + 3)",

		"cast(s as string)",
		"cast(s AS INT)",
		"cast(s as DECIMAL)",
		"extract(YEAR from '2018-01-09')",
		"extract(month from '2018-01-09')",

				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
			}

		{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 {

labels.searchlog_log_type_search_user_hour=User by Hour
labels.searchlog_log_type_search_user_day=User by Day
labels.searchlog_log_type_search_reqtimeavg_hour=Request Time Avg. by Hour
labels.searchlog_log_type_search_reqtimeavg_day=Request Time Avg. by Day
labels.searchlog_log_type_click_count=Click Count
labels.searchlog_log_type_favorite_count=Favorite Count
labels.searchlog_log_message=Message