metrics: pull library and introduce ResettingTimer and InfluxDB reporter (#15910)

* go-metrics: fork library and introduce ResettingTimer and InfluxDB reporter.

* vendor: change nonsense/go-metrics to ethersphere/go-metrics

* go-metrics: add tests. move ResettingTimer logic from reporter to type.

* all, metrics: pull in metrics package in go-ethereum

* metrics/test: make sure metrics are enabled for tests

* metrics: apply gosimple rules

* metrics/exp, internal/debug: init expvar endpoint when starting pprof server

* internal/debug: tiny comment formatting fix

1 files changed, 0 insertions, 80 deletions

diff --git a/vendor/github.com/rcrowley/go-metrics/log.go b/vendor/github.com/rcrowley/go-metrics/log.go
deleted file mode 100644
index f8074c045..000000000
--- a/vendor/github.com/rcrowley/go-metrics/log.go
+++ /dev/null
@@ -1,80 +0,0 @@
-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())
-			}
-		})
-	}
-}