|-------------------------------|---------|------------------------------------|----------|
| `minio_system_cpu_avg_idle`   | `gauge` | Average CPU idle time              | `server` |
| `minio_system_cpu_avg_iowait` | `gauge` | Average CPU IOWait time            | `server` |
| `minio_system_cpu_load`       | `gauge` | CPU load average 1min              | `server` |

		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
		}
	}
	// Add types...

	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...)

				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
			}

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Active Workers",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

		{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 {

	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

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

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

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