github.com/yinchengtsinghua/golang-Eos-dpos-Ethereum@v0.0.0-20190121132951-92cc4225ed8e/metrics/writer.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  	"fmt"
    13  	"io"
    14  	"sort"
    15  	"time"
    16  )
    17  
    18  //写入排序定期将给定注册表中的每个指标写入
    19  //给定IO.WRITER。
    20  func Write(r Registry, d time.Duration, w io.Writer) {
    21  	for range time.Tick(d) {
    22  		WriteOnce(r, w)
    23  	}
    24  }
    25  
    26  //WriteOnce将给定注册表中的度量值排序并写入给定的
    27  //作者。
    28  func WriteOnce(r Registry, w io.Writer) {
    29  	var namedMetrics namedMetricSlice
    30  	r.Each(func(name string, i interface{}) {
    31  		namedMetrics = append(namedMetrics, namedMetric{name, i})
    32  	})
    33  
    34  	sort.Sort(namedMetrics)
    35  	for _, namedMetric := range namedMetrics {
    36  		switch metric := namedMetric.m.(type) {
    37  		case Counter:
    38  			fmt.Fprintf(w, "counter %s\n", namedMetric.name)
    39  			fmt.Fprintf(w, "  count:       %9d\n", metric.Count())
    40  		case Gauge:
    41  			fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
    42  			fmt.Fprintf(w, "  value:       %9d\n", metric.Value())
    43  		case GaugeFloat64:
    44  			fmt.Fprintf(w, "gauge %s\n", namedMetric.name)
    45  			fmt.Fprintf(w, "  value:       %f\n", metric.Value())
    46  		case Healthcheck:
    47  			metric.Check()
    48  			fmt.Fprintf(w, "healthcheck %s\n", namedMetric.name)
    49  			fmt.Fprintf(w, "  error:       %v\n", metric.Error())
    50  		case Histogram:
    51  			h := metric.Snapshot()
    52  			ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
    53  			fmt.Fprintf(w, "histogram %s\n", namedMetric.name)
    54  			fmt.Fprintf(w, "  count:       %9d\n", h.Count())
    55  			fmt.Fprintf(w, "  min:         %9d\n", h.Min())
    56  			fmt.Fprintf(w, "  max:         %9d\n", h.Max())
    57  			fmt.Fprintf(w, "  mean:        %12.2f\n", h.Mean())
    58  			fmt.Fprintf(w, "  stddev:      %12.2f\n", h.StdDev())
    59  			fmt.Fprintf(w, "  median:      %12.2f\n", ps[0])
    60  			fmt.Fprintf(w, "  75%%:         %12.2f\n", ps[1])
    61  			fmt.Fprintf(w, "  95%%:         %12.2f\n", ps[2])
    62  			fmt.Fprintf(w, "  99%%:         %12.2f\n", ps[3])
    63  			fmt.Fprintf(w, "  99.9%%:       %12.2f\n", ps[4])
    64  		case Meter:
    65  			m := metric.Snapshot()
    66  			fmt.Fprintf(w, "meter %s\n", namedMetric.name)
    67  			fmt.Fprintf(w, "  count:       %9d\n", m.Count())
    68  			fmt.Fprintf(w, "  1-min rate:  %12.2f\n", m.Rate1())
    69  			fmt.Fprintf(w, "  5-min rate:  %12.2f\n", m.Rate5())
    70  			fmt.Fprintf(w, "  15-min rate: %12.2f\n", m.Rate15())
    71  			fmt.Fprintf(w, "  mean rate:   %12.2f\n", m.RateMean())
    72  		case Timer:
    73  			t := metric.Snapshot()
    74  			ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
    75  			fmt.Fprintf(w, "timer %s\n", namedMetric.name)
    76  			fmt.Fprintf(w, "  count:       %9d\n", t.Count())
    77  			fmt.Fprintf(w, "  min:         %9d\n", t.Min())
    78  			fmt.Fprintf(w, "  max:         %9d\n", t.Max())
    79  			fmt.Fprintf(w, "  mean:        %12.2f\n", t.Mean())
    80  			fmt.Fprintf(w, "  stddev:      %12.2f\n", t.StdDev())
    81  			fmt.Fprintf(w, "  median:      %12.2f\n", ps[0])
    82  			fmt.Fprintf(w, "  75%%:         %12.2f\n", ps[1])
    83  			fmt.Fprintf(w, "  95%%:         %12.2f\n", ps[2])
    84  			fmt.Fprintf(w, "  99%%:         %12.2f\n", ps[3])
    85  			fmt.Fprintf(w, "  99.9%%:       %12.2f\n", ps[4])
    86  			fmt.Fprintf(w, "  1-min rate:  %12.2f\n", t.Rate1())
    87  			fmt.Fprintf(w, "  5-min rate:  %12.2f\n", t.Rate5())
    88  			fmt.Fprintf(w, "  15-min rate: %12.2f\n", t.Rate15())
    89  			fmt.Fprintf(w, "  mean rate:   %12.2f\n", t.RateMean())
    90  		}
    91  	}
    92  }
    93  
    94  type namedMetric struct {
    95  	name string
    96  	m    interface{}
    97  }
    98  
    99  //namedmetricslice是实现sort.interface的namedmetrics切片。
   100  type namedMetricSlice []namedMetric
   101  
   102  func (nms namedMetricSlice) Len() int { return len(nms) }
   103  
   104  func (nms namedMetricSlice) Swap(i, j int) { nms[i], nms[j] = nms[j], nms[i] }
   105  
   106  func (nms namedMetricSlice) Less(i, j int) bool {
   107  	return nms[i].name < nms[j].name
   108  }