github.com/theQRL/go-zond@v0.1.1/metrics/log.go (about)

     1  package metrics
     2  
     3  import (
     4  	"time"
     5  )
     6  
     7  type Logger interface {
     8  	Printf(format string, v ...interface{})
     9  }
    10  
    11  func Log(r Registry, freq time.Duration, l Logger) {
    12  	LogScaled(r, freq, time.Nanosecond, l)
    13  }
    14  
    15  // Output each metric in the given registry periodically using the given
    16  // logger. Print timings in `scale` units (eg time.Millisecond) rather than nanos.
    17  func LogScaled(r Registry, freq time.Duration, scale time.Duration, l Logger) {
    18  	du := float64(scale)
    19  	duSuffix := scale.String()[1:]
    20  
    21  	for range time.Tick(freq) {
    22  		r.Each(func(name string, i interface{}) {
    23  			switch metric := i.(type) {
    24  			case Counter:
    25  				l.Printf("counter %s\n", name)
    26  				l.Printf("  count:       %9d\n", metric.Snapshot().Count())
    27  			case CounterFloat64:
    28  				l.Printf("counter %s\n", name)
    29  				l.Printf("  count:       %f\n", metric.Snapshot().Count())
    30  			case Gauge:
    31  				l.Printf("gauge %s\n", name)
    32  				l.Printf("  value:       %9d\n", metric.Snapshot().Value())
    33  			case GaugeFloat64:
    34  				l.Printf("gauge %s\n", name)
    35  				l.Printf("  value:       %f\n", metric.Snapshot().Value())
    36  			case GaugeInfo:
    37  				l.Printf("gauge %s\n", name)
    38  				l.Printf("  value:       %s\n", metric.Snapshot().Value())
    39  			case Healthcheck:
    40  				metric.Check()
    41  				l.Printf("healthcheck %s\n", name)
    42  				l.Printf("  error:       %v\n", metric.Error())
    43  			case Histogram:
    44  				h := metric.Snapshot()
    45  				ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
    46  				l.Printf("histogram %s\n", name)
    47  				l.Printf("  count:       %9d\n", h.Count())
    48  				l.Printf("  min:         %9d\n", h.Min())
    49  				l.Printf("  max:         %9d\n", h.Max())
    50  				l.Printf("  mean:        %12.2f\n", h.Mean())
    51  				l.Printf("  stddev:      %12.2f\n", h.StdDev())
    52  				l.Printf("  median:      %12.2f\n", ps[0])
    53  				l.Printf("  75%%:         %12.2f\n", ps[1])
    54  				l.Printf("  95%%:         %12.2f\n", ps[2])
    55  				l.Printf("  99%%:         %12.2f\n", ps[3])
    56  				l.Printf("  99.9%%:       %12.2f\n", ps[4])
    57  			case Meter:
    58  				m := metric.Snapshot()
    59  				l.Printf("meter %s\n", name)
    60  				l.Printf("  count:       %9d\n", m.Count())
    61  				l.Printf("  1-min rate:  %12.2f\n", m.Rate1())
    62  				l.Printf("  5-min rate:  %12.2f\n", m.Rate5())
    63  				l.Printf("  15-min rate: %12.2f\n", m.Rate15())
    64  				l.Printf("  mean rate:   %12.2f\n", m.RateMean())
    65  			case Timer:
    66  				t := metric.Snapshot()
    67  				ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
    68  				l.Printf("timer %s\n", name)
    69  				l.Printf("  count:       %9d\n", t.Count())
    70  				l.Printf("  min:         %12.2f%s\n", float64(t.Min())/du, duSuffix)
    71  				l.Printf("  max:         %12.2f%s\n", float64(t.Max())/du, duSuffix)
    72  				l.Printf("  mean:        %12.2f%s\n", t.Mean()/du, duSuffix)
    73  				l.Printf("  stddev:      %12.2f%s\n", t.StdDev()/du, duSuffix)
    74  				l.Printf("  median:      %12.2f%s\n", ps[0]/du, duSuffix)
    75  				l.Printf("  75%%:         %12.2f%s\n", ps[1]/du, duSuffix)
    76  				l.Printf("  95%%:         %12.2f%s\n", ps[2]/du, duSuffix)
    77  				l.Printf("  99%%:         %12.2f%s\n", ps[3]/du, duSuffix)
    78  				l.Printf("  99.9%%:       %12.2f%s\n", ps[4]/du, duSuffix)
    79  				l.Printf("  1-min rate:  %12.2f\n", t.Rate1())
    80  				l.Printf("  5-min rate:  %12.2f\n", t.Rate5())
    81  				l.Printf("  15-min rate: %12.2f\n", t.Rate15())
    82  				l.Printf("  mean rate:   %12.2f\n", t.RateMean())
    83  			}
    84  		})
    85  	}
    86  }