github.com/yinchengtsinghua/golang-Eos-dpos-Ethereum@v0.0.0-20190121132951-92cc4225ed8e/metrics/log.go (about)

     1  
     2  //此源码被清华学神尹成大魔王专业翻译分析并修改
     3  //尹成QQ77025077
     4  //尹成微信18510341407
     5  //尹成所在QQ群721929980
     6  //尹成邮箱 yinc13@mails.tsinghua.edu.cn
     7  //尹成毕业于清华大学,微软区块链领域全球最有价值专家
     8  //https://mvp.microsoft.com/zh-cn/PublicProfile/4033620
     9  package metrics
    10  
    11  import (
    12  	"time"
    13  )
    14  
    15  type Logger interface {
    16  	Printf(format string, v ...interface{})
    17  }
    18  
    19  func Log(r Registry, freq time.Duration, l Logger) {
    20  	LogScaled(r, freq, time.Nanosecond, l)
    21  }
    22  
    23  //使用给定的
    24  //记录器。以“刻度”单位（如时间.毫秒）而不是纳秒打印计时。
    25  func LogScaled(r Registry, freq time.Duration, scale time.Duration, l Logger) {
    26  	du := float64(scale)
    27  	duSuffix := scale.String()[1:]
    28  
    29  	for range time.Tick(freq) {
    30  		r.Each(func(name string, i interface{}) {
    31  			switch metric := i.(type) {
    32  			case Counter:
    33  				l.Printf("counter %s\n", name)
    34  				l.Printf("  count:       %9d\n", metric.Count())
    35  			case Gauge:
    36  				l.Printf("gauge %s\n", name)
    37  				l.Printf("  value:       %9d\n", metric.Value())
    38  			case GaugeFloat64:
    39  				l.Printf("gauge %s\n", name)
    40  				l.Printf("  value:       %f\n", metric.Value())
    41  			case Healthcheck:
    42  				metric.Check()
    43  				l.Printf("healthcheck %s\n", name)
    44  				l.Printf("  error:       %v\n", metric.Error())
    45  			case Histogram:
    46  				h := metric.Snapshot()
    47  				ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
    48  				l.Printf("histogram %s\n", name)
    49  				l.Printf("  count:       %9d\n", h.Count())
    50  				l.Printf("  min:         %9d\n", h.Min())
    51  				l.Printf("  max:         %9d\n", h.Max())
    52  				l.Printf("  mean:        %12.2f\n", h.Mean())
    53  				l.Printf("  stddev:      %12.2f\n", h.StdDev())
    54  				l.Printf("  median:      %12.2f\n", ps[0])
    55  				l.Printf("  75%%:         %12.2f\n", ps[1])
    56  				l.Printf("  95%%:         %12.2f\n", ps[2])
    57  				l.Printf("  99%%:         %12.2f\n", ps[3])
    58  				l.Printf("  99.9%%:       %12.2f\n", ps[4])
    59  			case Meter:
    60  				m := metric.Snapshot()
    61  				l.Printf("meter %s\n", name)
    62  				l.Printf("  count:       %9d\n", m.Count())
    63  				l.Printf("  1-min rate:  %12.2f\n", m.Rate1())
    64  				l.Printf("  5-min rate:  %12.2f\n", m.Rate5())
    65  				l.Printf("  15-min rate: %12.2f\n", m.Rate15())
    66  				l.Printf("  mean rate:   %12.2f\n", m.RateMean())
    67  			case Timer:
    68  				t := metric.Snapshot()
    69  				ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
    70  				l.Printf("timer %s\n", name)
    71  				l.Printf("  count:       %9d\n", t.Count())
    72  				l.Printf("  min:         %12.2f%s\n", float64(t.Min())/du, duSuffix)
    73  				l.Printf("  max:         %12.2f%s\n", float64(t.Max())/du, duSuffix)
    74  				l.Printf("  mean:        %12.2f%s\n", t.Mean()/du, duSuffix)
    75  				l.Printf("  stddev:      %12.2f%s\n", t.StdDev()/du, duSuffix)
    76  				l.Printf("  median:      %12.2f%s\n", ps[0]/du, duSuffix)
    77  				l.Printf("  75%%:         %12.2f%s\n", ps[1]/du, duSuffix)
    78  				l.Printf("  95%%:         %12.2f%s\n", ps[2]/du, duSuffix)
    79  				l.Printf("  99%%:         %12.2f%s\n", ps[3]/du, duSuffix)
    80  				l.Printf("  99.9%%:       %12.2f%s\n", ps[4]/du, duSuffix)
    81  				l.Printf("  1-min rate:  %12.2f\n", t.Rate1())
    82  				l.Printf("  5-min rate:  %12.2f\n", t.Rate5())
    83  				l.Printf("  15-min rate: %12.2f\n", t.Rate15())
    84  				l.Printf("  mean rate:   %12.2f\n", t.RateMean())
    85  			}
    86  		})
    87  	}
    88  }