plugeth/metrics/log.go
Jorge 53f3c2ae65
metrics, cmd/geth: informational metrics (prometheus, influxdb, opentsb) (#24877)
This chang creates a GaugeInfo metrics type for registering informational (textual) metrics, e.g. geth version number. It also improves the testing for backend-exporters, and uses a shared subpackage in 'internal' to provide sample datasets and ordered registry. 

Implements #21783

---------

Co-authored-by: Martin Holst Swende <martin@swende.se>
2023-08-31 13:37:17 -04:00

87 lines
3.1 KiB
Go

package metrics
import (
"time"
)
type Logger interface {
Printf(format string, v ...interface{})
}
func Log(r Registry, freq time.Duration, l Logger) {
LogScaled(r, freq, time.Nanosecond, l)
}
// Output each metric in the given registry periodically using the given
// logger. Print timings in `scale` units (eg time.Millisecond) rather than nanos.
func LogScaled(r Registry, freq time.Duration, scale time.Duration, l Logger) {
du := float64(scale)
duSuffix := scale.String()[1:]
for range time.Tick(freq) {
r.Each(func(name string, i interface{}) {
switch metric := i.(type) {
case Counter:
l.Printf("counter %s\n", name)
l.Printf(" count: %9d\n", metric.Count())
case CounterFloat64:
l.Printf("counter %s\n", name)
l.Printf(" count: %f\n", metric.Count())
case Gauge:
l.Printf("gauge %s\n", name)
l.Printf(" value: %9d\n", metric.Value())
case GaugeFloat64:
l.Printf("gauge %s\n", name)
l.Printf(" value: %f\n", metric.Value())
case GaugeInfo:
l.Printf("gauge %s\n", name)
l.Printf(" value: %s\n", metric.Value())
case Healthcheck:
metric.Check()
l.Printf("healthcheck %s\n", name)
l.Printf(" error: %v\n", metric.Error())
case Histogram:
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
l.Printf("histogram %s\n", name)
l.Printf(" count: %9d\n", h.Count())
l.Printf(" min: %9d\n", h.Min())
l.Printf(" max: %9d\n", h.Max())
l.Printf(" mean: %12.2f\n", h.Mean())
l.Printf(" stddev: %12.2f\n", h.StdDev())
l.Printf(" median: %12.2f\n", ps[0])
l.Printf(" 75%%: %12.2f\n", ps[1])
l.Printf(" 95%%: %12.2f\n", ps[2])
l.Printf(" 99%%: %12.2f\n", ps[3])
l.Printf(" 99.9%%: %12.2f\n", ps[4])
case Meter:
m := metric.Snapshot()
l.Printf("meter %s\n", name)
l.Printf(" count: %9d\n", m.Count())
l.Printf(" 1-min rate: %12.2f\n", m.Rate1())
l.Printf(" 5-min rate: %12.2f\n", m.Rate5())
l.Printf(" 15-min rate: %12.2f\n", m.Rate15())
l.Printf(" mean rate: %12.2f\n", m.RateMean())
case Timer:
t := metric.Snapshot()
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
l.Printf("timer %s\n", name)
l.Printf(" count: %9d\n", t.Count())
l.Printf(" min: %12.2f%s\n", float64(t.Min())/du, duSuffix)
l.Printf(" max: %12.2f%s\n", float64(t.Max())/du, duSuffix)
l.Printf(" mean: %12.2f%s\n", t.Mean()/du, duSuffix)
l.Printf(" stddev: %12.2f%s\n", t.StdDev()/du, duSuffix)
l.Printf(" median: %12.2f%s\n", ps[0]/du, duSuffix)
l.Printf(" 75%%: %12.2f%s\n", ps[1]/du, duSuffix)
l.Printf(" 95%%: %12.2f%s\n", ps[2]/du, duSuffix)
l.Printf(" 99%%: %12.2f%s\n", ps[3]/du, duSuffix)
l.Printf(" 99.9%%: %12.2f%s\n", ps[4]/du, duSuffix)
l.Printf(" 1-min rate: %12.2f\n", t.Rate1())
l.Printf(" 5-min rate: %12.2f\n", t.Rate5())
l.Printf(" 15-min rate: %12.2f\n", t.Rate15())
l.Printf(" mean rate: %12.2f\n", t.RateMean())
}
})
}
}