path: root/metrics/influxdb/influxdb.go

package influxdb

import (
    "fmt"
    uurl "net/url"
    "time"

    "github.com/ethereum/go-ethereum/log"
    "github.com/ethereum/go-ethereum/metrics"
    "github.com/influxdata/influxdb/client"
)

type reporter struct {
    reg      metrics.Registry
    interval time.Duration

    url       uurl.URL
    database  string
    username  string
    password  string
    namespace string
    tags      map[string]string

    client *client.Client

    cache map[string]int64
}

// InfluxDB starts a InfluxDB reporter which will post the from the given metrics.Registry at each d interval.
func InfluxDB(r metrics.Registry, d time.Duration, url, database, username, password, namespace string) {
    InfluxDBWithTags(r, d, url, database, username, password, namespace, nil)
}

// InfluxDBWithTags starts a InfluxDB reporter which will post the from the given metrics.Registry at each d interval with the specified tags
func InfluxDBWithTags(r metrics.Registry, d time.Duration, url, database, username, password, namespace string, tags map[string]string) {
    u, err := uurl.Parse(url)
    if err != nil {
        log.Warn("Unable to parse InfluxDB", "url", url, "err", err)
        return
    }

    rep := &reporter{
        reg:       r,
        interval:  d,
        url:       *u,
        database:  database,
        username:  username,
        password:  password,
        namespace: namespace,
        tags:      tags,
        cache:     make(map[string]int64),
    }
    if err := rep.makeClient(); err != nil {
        log.Warn("Unable to make InfluxDB client", "err", err)
        return
    }

    rep.run()
}

func (r *reporter) makeClient() (err error) {
    r.client, err = client.NewClient(client.Config{
        URL:      r.url,
        Username: r.username,
        Password: r.password,
    })

    return
}

func (r *reporter) run() {
    intervalTicker := time.Tick(r.interval)
    pingTicker := time.Tick(time.Second * 5)

    for {
        select {
        case <-intervalTicker:
            if err := r.send(); err != nil {
                log.Warn("Unable to send to InfluxDB", "err", err)
            }
        case <-pingTicker:
            _, _, err := r.client.Ping()
            if err != nil {
                log.Warn("Got error while sending a ping to InfluxDB, trying to recreate client", "err", err)

                if err = r.makeClient(); err != nil {
                    log.Warn("Unable to make InfluxDB client", "err", err)
                }
            }
        }
    }
}

func (r *reporter) send() error {
    var pts []client.Point

    r.reg.Each(func(name string, i interface{}) {
        now := time.Now()
        namespace := r.namespace

        switch metric := i.(type) {
        case metrics.Counter:
            v := metric.Count()
            l := r.cache[name]
            pts = append(pts, client.Point{
                Measurement: fmt.Sprintf("%s%s.count", namespace, name),
                Tags:        r.tags,
                Fields: map[string]interface{}{
                    "value": v - l,
                },
                Time: now,
            })
            r.cache[name] = v
        case metrics.Gauge:
            ms := metric.Snapshot()
            pts = append(pts, client.Point{
                Measurement: fmt.Sprintf("%s%s.gauge", namespace, name),
                Tags:        r.tags,
                Fields: map[string]interface{}{
                    "value": ms.Value(),
                },
                Time: now,
            })
        case metrics.GaugeFloat64:
            ms := metric.Snapshot()
            pts = append(pts, client.Point{
                Measurement: fmt.Sprintf("%s%s.gauge", namespace, name),
                Tags:        r.tags,
                Fields: map[string]interface{}{
                    "value": ms.Value(),
                },
                Time: now,
            })
        case metrics.Histogram:
            ms := metric.Snapshot()
            ps := ms.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999})
            pts = append(pts, client.Point{
                Measurement: fmt.Sprintf("%s%s.histogram", namespace, name),
                Tags:        r.tags,
                Fields: map[string]interface{}{
                    "count":    ms.Count(),
                    "max":      ms.Max(),
                    "mean":     ms.Mean(),
                    "min":      ms.Min(),
                    "stddev":   ms.StdDev(),
                    "variance": ms.Variance(),
                    "p50":      ps[0],
                    "p75":      ps[1],
                    "p95":      ps[2],
                    "p99":      ps[3],
                    "p999":     ps[4],
                    "p9999":    ps[5],
                },
                Time: now,
            })
        case metrics.Meter:
            ms := metric.Snapshot()
            pts = append(pts, client.Point{
                Measurement: fmt.Sprintf("%s%s.meter", namespace, name),
                Tags:        r.tags,
                Fields: map[string]interface{}{
                    "count": ms.Count(),
                    "m1":    ms.Rate1(),
                    "m5":    ms.Rate5(),
                    "m15":   ms.Rate15(),
                    "mean":  ms.RateMean(),
                },
                Time: now,
            })
        case metrics.Timer:
            ms := metric.Snapshot()
            ps := ms.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999, 0.9999})
            pts = append(pts, client.Point{
                Measurement: fmt.Sprintf("%s%s.timer", namespace, name),
                Tags:        r.tags,
                Fields: map[string]interface{}{
                    "count":    ms.Count(),
                    "max":      ms.Max(),
                    "mean":     ms.Mean(),
                    "min":      ms.Min(),
                    "stddev":   ms.StdDev(),
                    "variance": ms.Variance(),
                    "p50":      ps[0],
                    "p75":      ps[1],
                    "p95":      ps[2],
                    "p99":      ps[3],
                    "p999":     ps[4],
                    "p9999":    ps[5],
                    "m1":       ms.Rate1(),
                    "m5":       ms.Rate5(),
                    "m15":      ms.Rate15(),
                    "meanrate": ms.RateMean(),
                },
                Time: now,
            })
        case metrics.ResettingTimer:
            t := metric.Snapshot()

            if len(t.Values()) > 0 {
                ps := t.Percentiles([]float64{50, 95, 99})
                val := t.Values()
                pts = append(pts, client.Point{
                    Measurement: fmt.Sprintf("%s%s.span", namespace, name),
                    Tags:        r.tags,
                    Fields: map[string]interface{}{
                        "count": len(val),
                        "max":   val[len(val)-1],
                        "mean":  t.Mean(),
                        "min":   val[0],
                        "p50":   ps[0],
                        "p95":   ps[1],
                        "p99":   ps[2],
                    },
                    Time: now,
                })
            }
        }
    })

    bps := client.BatchPoints{
        Points:   pts,
        Database: r.database,
    }

    _, err := r.client.Write(bps)
    return err
}