VOL-2496 Add "event listen" command to voltctl
Change-Id: I8f1fb34b55f56c8125142ac289e2f19fc170d804
diff --git a/vendor/github.com/rcrowley/go-metrics/log.go b/vendor/github.com/rcrowley/go-metrics/log.go
new file mode 100644
index 0000000..f8074c0
--- /dev/null
+++ b/vendor/github.com/rcrowley/go-metrics/log.go
@@ -0,0 +1,80 @@
+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 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 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())
+ }
+ })
+ }
+}