/
dumper.go
70 lines (65 loc) · 1.89 KB
/
dumper.go
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package main
import (
"strings"
"github.com/rcrowley/go-metrics"
"github.com/wolfeidau/unflatten"
)
func exportMetrics(r metrics.Registry) map[string]interface{} {
data := make(map[string]interface{})
r.Each(func(name string, i interface{}) {
values := make(map[string]interface{})
switch metric := i.(type) {
case metrics.Counter:
values["count"] = metric.Count()
case metrics.Gauge:
values["value"] = metric.Value()
case metrics.GaugeFloat64:
values["value"] = metric.Value()
case metrics.Healthcheck:
values["error"] = nil
metric.Check()
if err := metric.Error(); nil != err {
values["error"] = metric.Error().Error()
}
case metrics.Histogram:
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
values["count"] = h.Count()
values["min"] = h.Min()
values["max"] = h.Max()
values["mean"] = h.Mean()
values["stddev"] = h.StdDev()
values["median"] = ps[0]
values["75%"] = ps[1]
values["95%"] = ps[2]
values["99%"] = ps[3]
values["99.9%"] = ps[4]
case metrics.Meter:
m := metric.Snapshot()
values["count"] = m.Count()
values["1m.rate"] = m.Rate1()
values["5m.rate"] = m.Rate5()
values["15m.rate"] = m.Rate15()
values["mean.rate"] = m.RateMean()
case metrics.Timer:
t := metric.Snapshot()
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
values["count"] = t.Count()
values["min"] = t.Min()
values["max"] = t.Max()
values["mean"] = t.Mean()
values["stddev"] = t.StdDev()
values["median"] = ps[0]
values["75%"] = ps[1]
values["95%"] = ps[2]
values["99%"] = ps[3]
values["99.9%"] = ps[4]
values["1m.rate"] = t.Rate1()
values["5m.rate"] = t.Rate5()
values["15m.rate"] = t.Rate15()
values["mean.rate"] = t.RateMean()
}
data[name] = values
})
return unflatten.Unflatten(data, func(k string) []string { return strings.Split(k, ".") })
}