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>
84 lines
2.1 KiB
Go
84 lines
2.1 KiB
Go
//go:build !windows
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// +build !windows
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package metrics
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import (
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"fmt"
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"log/syslog"
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"time"
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)
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// Output each metric in the given registry to syslog periodically using
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// the given syslogger.
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func Syslog(r Registry, d time.Duration, w *syslog.Writer) {
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for range time.Tick(d) {
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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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w.Info(fmt.Sprintf("counter %s: count: %d", name, metric.Count()))
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case CounterFloat64:
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w.Info(fmt.Sprintf("counter %s: count: %f", name, metric.Count()))
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case Gauge:
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w.Info(fmt.Sprintf("gauge %s: value: %d", name, metric.Value()))
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case GaugeFloat64:
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w.Info(fmt.Sprintf("gauge %s: value: %f", name, metric.Value()))
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case GaugeInfo:
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w.Info(fmt.Sprintf("gauge %s: value: %s", name, metric.Value()))
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case Healthcheck:
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metric.Check()
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w.Info(fmt.Sprintf("healthcheck %s: error: %v", name, 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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w.Info(fmt.Sprintf(
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"histogram %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f",
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name,
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h.Count(),
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h.Min(),
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h.Max(),
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h.Mean(),
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h.StdDev(),
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ps[0],
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ps[1],
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ps[2],
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ps[3],
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ps[4],
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))
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case Meter:
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m := metric.Snapshot()
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w.Info(fmt.Sprintf(
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"meter %s: count: %d 1-min: %.2f 5-min: %.2f 15-min: %.2f mean: %.2f",
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name,
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m.Count(),
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m.Rate1(),
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m.Rate5(),
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m.Rate15(),
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m.RateMean(),
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))
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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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w.Info(fmt.Sprintf(
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"timer %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f 1-min: %.2f 5-min: %.2f 15-min: %.2f mean-rate: %.2f",
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name,
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t.Count(),
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t.Min(),
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t.Max(),
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t.Mean(),
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t.StdDev(),
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ps[0],
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ps[1],
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ps[2],
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ps[3],
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ps[4],
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t.Rate1(),
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t.Rate5(),
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t.Rate15(),
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t.RateMean(),
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))
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}
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})
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}
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}
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