go-pulse/metrics/graphite.go
turboboost55 7dc100714d
metrics: add cpu counters (#26796)
This PR adds counter metrics for the CPU system and the Geth process.
Currently the only metrics available for these items are gauges. Gauges are
fine when the consumer scrapes metrics data at the same interval as Geth
produces new values (every 3 seconds), but it is likely that most consumers
will not scrape that often. Intervals of 10, 15, or maybe even 30 seconds
are probably more common.

So the problem is, how does the consumer estimate what the CPU was doing in
between scrapes. With a counter, it's easy ... you just subtract two
successive values and divide by the time to get a nice, accurate average.
But with a gauge, you can't do that. A gauge reading is an instantaneous
picture of what was happening at that moment, but it gives you no idea
about what was going on between scrapes. Taking an average of values is
meaningless.
2023-03-23 14:13:50 +01:00

116 lines
4.8 KiB
Go

package metrics
import (
"bufio"
"fmt"
"log"
"net"
"strconv"
"strings"
"time"
)
// GraphiteConfig provides a container with configuration parameters for
// the Graphite exporter
type GraphiteConfig struct {
Addr *net.TCPAddr // Network address to connect to
Registry Registry // Registry to be exported
FlushInterval time.Duration // Flush interval
DurationUnit time.Duration // Time conversion unit for durations
Prefix string // Prefix to be prepended to metric names
Percentiles []float64 // Percentiles to export from timers and histograms
}
// Graphite is a blocking exporter function which reports metrics in r
// to a graphite server located at addr, flushing them every d duration
// and prepending metric names with prefix.
func Graphite(r Registry, d time.Duration, prefix string, addr *net.TCPAddr) {
GraphiteWithConfig(GraphiteConfig{
Addr: addr,
Registry: r,
FlushInterval: d,
DurationUnit: time.Nanosecond,
Prefix: prefix,
Percentiles: []float64{0.5, 0.75, 0.95, 0.99, 0.999},
})
}
// GraphiteWithConfig is a blocking exporter function just like Graphite,
// but it takes a GraphiteConfig instead.
func GraphiteWithConfig(c GraphiteConfig) {
log.Printf("WARNING: This go-metrics client has been DEPRECATED! It has been moved to https://github.com/cyberdelia/go-metrics-graphite and will be removed from rcrowley/go-metrics on August 12th 2015")
for range time.Tick(c.FlushInterval) {
if err := graphite(&c); nil != err {
log.Println(err)
}
}
}
// GraphiteOnce performs a single submission to Graphite, returning a
// non-nil error on failed connections. This can be used in a loop
// similar to GraphiteWithConfig for custom error handling.
func GraphiteOnce(c GraphiteConfig) error {
log.Printf("WARNING: This go-metrics client has been DEPRECATED! It has been moved to https://github.com/cyberdelia/go-metrics-graphite and will be removed from rcrowley/go-metrics on August 12th 2015")
return graphite(&c)
}
func graphite(c *GraphiteConfig) error {
now := time.Now().Unix()
du := float64(c.DurationUnit)
conn, err := net.DialTCP("tcp", nil, c.Addr)
if nil != err {
return err
}
defer conn.Close()
w := bufio.NewWriter(conn)
c.Registry.Each(func(name string, i interface{}) {
switch metric := i.(type) {
case Counter:
fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, metric.Count(), now)
case CounterFloat64:
fmt.Fprintf(w, "%s.%s.count %f %d\n", c.Prefix, name, metric.Count(), now)
case Gauge:
fmt.Fprintf(w, "%s.%s.value %d %d\n", c.Prefix, name, metric.Value(), now)
case GaugeFloat64:
fmt.Fprintf(w, "%s.%s.value %f %d\n", c.Prefix, name, metric.Value(), now)
case Histogram:
h := metric.Snapshot()
ps := h.Percentiles(c.Percentiles)
fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, h.Count(), now)
fmt.Fprintf(w, "%s.%s.min %d %d\n", c.Prefix, name, h.Min(), now)
fmt.Fprintf(w, "%s.%s.max %d %d\n", c.Prefix, name, h.Max(), now)
fmt.Fprintf(w, "%s.%s.mean %.2f %d\n", c.Prefix, name, h.Mean(), now)
fmt.Fprintf(w, "%s.%s.std-dev %.2f %d\n", c.Prefix, name, h.StdDev(), now)
for psIdx, psKey := range c.Percentiles {
key := strings.Replace(strconv.FormatFloat(psKey*100.0, 'f', -1, 64), ".", "", 1)
fmt.Fprintf(w, "%s.%s.%s-percentile %.2f %d\n", c.Prefix, name, key, ps[psIdx], now)
}
case Meter:
m := metric.Snapshot()
fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, m.Count(), now)
fmt.Fprintf(w, "%s.%s.one-minute %.2f %d\n", c.Prefix, name, m.Rate1(), now)
fmt.Fprintf(w, "%s.%s.five-minute %.2f %d\n", c.Prefix, name, m.Rate5(), now)
fmt.Fprintf(w, "%s.%s.fifteen-minute %.2f %d\n", c.Prefix, name, m.Rate15(), now)
fmt.Fprintf(w, "%s.%s.mean %.2f %d\n", c.Prefix, name, m.RateMean(), now)
case Timer:
t := metric.Snapshot()
ps := t.Percentiles(c.Percentiles)
fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, t.Count(), now)
fmt.Fprintf(w, "%s.%s.min %d %d\n", c.Prefix, name, t.Min()/int64(du), now)
fmt.Fprintf(w, "%s.%s.max %d %d\n", c.Prefix, name, t.Max()/int64(du), now)
fmt.Fprintf(w, "%s.%s.mean %.2f %d\n", c.Prefix, name, t.Mean()/du, now)
fmt.Fprintf(w, "%s.%s.std-dev %.2f %d\n", c.Prefix, name, t.StdDev()/du, now)
for psIdx, psKey := range c.Percentiles {
key := strings.Replace(strconv.FormatFloat(psKey*100.0, 'f', -1, 64), ".", "", 1)
fmt.Fprintf(w, "%s.%s.%s-percentile %.2f %d\n", c.Prefix, name, key, ps[psIdx], now)
}
fmt.Fprintf(w, "%s.%s.one-minute %.2f %d\n", c.Prefix, name, t.Rate1(), now)
fmt.Fprintf(w, "%s.%s.five-minute %.2f %d\n", c.Prefix, name, t.Rate5(), now)
fmt.Fprintf(w, "%s.%s.fifteen-minute %.2f %d\n", c.Prefix, name, t.Rate15(), now)
fmt.Fprintf(w, "%s.%s.mean-rate %.2f %d\n", c.Prefix, name, t.RateMean(), now)
}
w.Flush()
})
return nil
}