53f3c2ae65
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>
87 lines
3.1 KiB
Go
87 lines
3.1 KiB
Go
package metrics
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import (
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"time"
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)
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type Logger interface {
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Printf(format string, v ...interface{})
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}
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func Log(r Registry, freq time.Duration, l Logger) {
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LogScaled(r, freq, time.Nanosecond, l)
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}
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// Output each metric in the given registry periodically using the given
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// logger. Print timings in `scale` units (eg time.Millisecond) rather than nanos.
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func LogScaled(r Registry, freq time.Duration, scale time.Duration, l Logger) {
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du := float64(scale)
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duSuffix := scale.String()[1:]
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for range time.Tick(freq) {
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r.Each(func(name string, i interface{}) {
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switch metric := i.(type) {
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case Counter:
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l.Printf("counter %s\n", name)
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l.Printf(" count: %9d\n", metric.Count())
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case CounterFloat64:
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l.Printf("counter %s\n", name)
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l.Printf(" count: %f\n", metric.Count())
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case Gauge:
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l.Printf("gauge %s\n", name)
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l.Printf(" value: %9d\n", metric.Value())
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case GaugeFloat64:
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l.Printf("gauge %s\n", name)
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l.Printf(" value: %f\n", metric.Value())
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case GaugeInfo:
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l.Printf("gauge %s\n", name)
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l.Printf(" value: %s\n", metric.Value())
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case Healthcheck:
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metric.Check()
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l.Printf("healthcheck %s\n", name)
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l.Printf(" error: %v\n", metric.Error())
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case Histogram:
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h := metric.Snapshot()
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ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
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l.Printf("histogram %s\n", name)
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l.Printf(" count: %9d\n", h.Count())
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l.Printf(" min: %9d\n", h.Min())
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l.Printf(" max: %9d\n", h.Max())
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l.Printf(" mean: %12.2f\n", h.Mean())
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l.Printf(" stddev: %12.2f\n", h.StdDev())
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l.Printf(" median: %12.2f\n", ps[0])
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l.Printf(" 75%%: %12.2f\n", ps[1])
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l.Printf(" 95%%: %12.2f\n", ps[2])
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l.Printf(" 99%%: %12.2f\n", ps[3])
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l.Printf(" 99.9%%: %12.2f\n", ps[4])
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case Meter:
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m := metric.Snapshot()
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l.Printf("meter %s\n", name)
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l.Printf(" count: %9d\n", m.Count())
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l.Printf(" 1-min rate: %12.2f\n", m.Rate1())
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l.Printf(" 5-min rate: %12.2f\n", m.Rate5())
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l.Printf(" 15-min rate: %12.2f\n", m.Rate15())
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l.Printf(" mean rate: %12.2f\n", m.RateMean())
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case Timer:
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t := metric.Snapshot()
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ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
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l.Printf("timer %s\n", name)
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l.Printf(" count: %9d\n", t.Count())
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l.Printf(" min: %12.2f%s\n", float64(t.Min())/du, duSuffix)
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l.Printf(" max: %12.2f%s\n", float64(t.Max())/du, duSuffix)
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l.Printf(" mean: %12.2f%s\n", t.Mean()/du, duSuffix)
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l.Printf(" stddev: %12.2f%s\n", t.StdDev()/du, duSuffix)
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l.Printf(" median: %12.2f%s\n", ps[0]/du, duSuffix)
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l.Printf(" 75%%: %12.2f%s\n", ps[1]/du, duSuffix)
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l.Printf(" 95%%: %12.2f%s\n", ps[2]/du, duSuffix)
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l.Printf(" 99%%: %12.2f%s\n", ps[3]/du, duSuffix)
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l.Printf(" 99.9%%: %12.2f%s\n", ps[4]/du, duSuffix)
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l.Printf(" 1-min rate: %12.2f\n", t.Rate1())
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l.Printf(" 5-min rate: %12.2f\n", t.Rate5())
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l.Printf(" 15-min rate: %12.2f\n", t.Rate15())
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l.Printf(" mean rate: %12.2f\n", t.RateMean())
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}
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})
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}
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}
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