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# Monitor Tool

<!--The deployment of monitoring tools can refer to the document [Monitoring Panel Deployment](../Deployment-and-Maintenance/Monitoring-panel-deployment.md) section.-->

## 1. Prometheus

### 1.1 The mapping from metric type to prometheus format

> For metrics whose Metric Name is name and Tags are K1=V1, ..., Kn=Vn, the mapping is as follows, where value is a
> specific value

| Metric Type      | Mapping                                                      |
| ---------------- | ------------------------------------------------------------ |
| Counter          | name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn"} value |
| AutoGauge、Gauge | name{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn"} value |
| Histogram        | name_max{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn"} value <br> name_sum{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn"} value <br> name_count{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn"} value <br> name{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn", quantile="0.5"} value <br> name{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn", quantile="0.99"} value |
| Rate             | name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn"} value <br> name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn", rate="m1"} value <br> name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn", rate="m5"} value  <br> name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn", rate="m15"} value <br> name_total{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn", rate="mean"} value |
| Timer            | name_seconds_max{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn"} value <br> name_seconds_sum{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn"} value <br> name_seconds_count{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn"} value <br> name_seconds{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn", quantile="0.5"} value <br> name_seconds{cluster="clusterName", nodeType="nodeType", nodeId="nodeId", k1="V1", ..., Kn="Vn", quantile="0.99"} value |

### 1.2 Config File

1) Taking DataNode as an example, modify the iotdb-system.properties configuration file as follows:

```properties
dn_metric_reporter_list=PROMETHEUS
dn_metric_level=CORE
dn_metric_prometheus_reporter_port=9091
```

Then you can get metrics data as follows

2) Start IoTDB DataNodes
3) Open a browser or use ```curl``` to visit ```http://servier_ip:9091/metrics```, you can get the following metric
    data:

```
...
# HELP file_count
# TYPE file_count gauge
file_count{name="wal",} 0.0
file_count{name="unseq",} 0.0
file_count{name="seq",} 2.0
...
```

### 1.3 Prometheus + Grafana

As shown above, IoTDB exposes monitoring metrics data in the standard Prometheus format to the outside world. Prometheus
can be used to collect and store monitoring indicators, and Grafana can be used to visualize monitoring indicators.

The following picture describes the relationships among IoTDB, Prometheus and Grafana

![iotdb_prometheus_grafana](/img/UserGuide/System-Tools/Metrics/iotdb_prometheus_grafana.png)

1. Along with running, IoTDB will collect its metrics continuously.
2. Prometheus scrapes metrics from IoTDB at a constant interval (can be configured).
3. Prometheus saves these metrics to its inner TSDB.
4. Grafana queries metrics from Prometheus at a constant interval (can be configured) and then presents them on the
    graph.

So, we need to do some additional works to configure and deploy Prometheus and Grafana.

For instance, you can config your Prometheus as follows to get metrics data from IoTDB:

```yaml
job_name: pull-metrics
honor_labels: true
honor_timestamps: true
scrape_interval: 15s
scrape_timeout: 10s
metrics_path: /metrics
scheme: http
follow_redirects: true
static_configs:
  - targets:
      - localhost:9091
```

The following documents may help you have a good journey with Prometheus and Grafana.

[Prometheus getting_started](https://prometheus.io/docs/prometheus/latest/getting_started/)

[Prometheus scrape metrics](https://prometheus.io/docs/prometheus/latest/configuration/configuration/#scrape_config)

[Grafana getting_started](https://grafana.com/docs/grafana/latest/getting-started/getting-started/)

[Grafana query metrics from Prometheus](https://prometheus.io/docs/visualization/grafana/#grafana-support-for-prometheus)