github.com/neatio-net/neatio@v1.7.3-0.20231114194659-f4d7a2226baa/utilities/metrics/writer.go (about) 1 package metrics 2 3 import ( 4 "fmt" 5 "io" 6 "sort" 7 "time" 8 ) 9 10 func Write(r Registry, d time.Duration, w io.Writer) { 11 for range time.Tick(d) { 12 WriteOnce(r, w) 13 } 14 } 15 16 func WriteOnce(r Registry, w io.Writer) { 17 var namedMetrics namedMetricSlice 18 r.Each(func(name string, i interface{}) { 19 namedMetrics = append(namedMetrics, namedMetric{name, i}) 20 }) 21 22 sort.Sort(namedMetrics) 23 for _, namedMetric := range namedMetrics { 24 switch metric := namedMetric.m.(type) { 25 case Counter: 26 fmt.Fprintf(w, "counter %s\n", namedMetric.name) 27 fmt.Fprintf(w, " count: %9d\n", metric.Count()) 28 case Gauge: 29 fmt.Fprintf(w, "gauge %s\n", namedMetric.name) 30 fmt.Fprintf(w, " value: %9d\n", metric.Value()) 31 case GaugeFloat64: 32 fmt.Fprintf(w, "gauge %s\n", namedMetric.name) 33 fmt.Fprintf(w, " value: %f\n", metric.Value()) 34 case Healthcheck: 35 metric.Check() 36 fmt.Fprintf(w, "healthcheck %s\n", namedMetric.name) 37 fmt.Fprintf(w, " error: %v\n", metric.Error()) 38 case Histogram: 39 h := metric.Snapshot() 40 ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999}) 41 fmt.Fprintf(w, "histogram %s\n", namedMetric.name) 42 fmt.Fprintf(w, " count: %9d\n", h.Count()) 43 fmt.Fprintf(w, " min: %9d\n", h.Min()) 44 fmt.Fprintf(w, " max: %9d\n", h.Max()) 45 fmt.Fprintf(w, " mean: %12.2f\n", h.Mean()) 46 fmt.Fprintf(w, " stddev: %12.2f\n", h.StdDev()) 47 fmt.Fprintf(w, " median: %12.2f\n", ps[0]) 48 fmt.Fprintf(w, " 75%%: %12.2f\n", ps[1]) 49 fmt.Fprintf(w, " 95%%: %12.2f\n", ps[2]) 50 fmt.Fprintf(w, " 99%%: %12.2f\n", ps[3]) 51 fmt.Fprintf(w, " 99.9%%: %12.2f\n", ps[4]) 52 case Meter: 53 m := metric.Snapshot() 54 fmt.Fprintf(w, "meter %s\n", namedMetric.name) 55 fmt.Fprintf(w, " count: %9d\n", m.Count()) 56 fmt.Fprintf(w, " 1-min rate: %12.2f\n", m.Rate1()) 57 fmt.Fprintf(w, " 5-min rate: %12.2f\n", m.Rate5()) 58 fmt.Fprintf(w, " 15-min rate: %12.2f\n", m.Rate15()) 59 fmt.Fprintf(w, " mean rate: %12.2f\n", m.RateMean()) 60 case Timer: 61 t := metric.Snapshot() 62 ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999}) 63 fmt.Fprintf(w, "timer %s\n", namedMetric.name) 64 fmt.Fprintf(w, " count: %9d\n", t.Count()) 65 fmt.Fprintf(w, " min: %9d\n", t.Min()) 66 fmt.Fprintf(w, " max: %9d\n", t.Max()) 67 fmt.Fprintf(w, " mean: %12.2f\n", t.Mean()) 68 fmt.Fprintf(w, " stddev: %12.2f\n", t.StdDev()) 69 fmt.Fprintf(w, " median: %12.2f\n", ps[0]) 70 fmt.Fprintf(w, " 75%%: %12.2f\n", ps[1]) 71 fmt.Fprintf(w, " 95%%: %12.2f\n", ps[2]) 72 fmt.Fprintf(w, " 99%%: %12.2f\n", ps[3]) 73 fmt.Fprintf(w, " 99.9%%: %12.2f\n", ps[4]) 74 fmt.Fprintf(w, " 1-min rate: %12.2f\n", t.Rate1()) 75 fmt.Fprintf(w, " 5-min rate: %12.2f\n", t.Rate5()) 76 fmt.Fprintf(w, " 15-min rate: %12.2f\n", t.Rate15()) 77 fmt.Fprintf(w, " mean rate: %12.2f\n", t.RateMean()) 78 } 79 } 80 } 81 82 type namedMetric struct { 83 name string 84 m interface{} 85 } 86 87 type namedMetricSlice []namedMetric 88 89 func (nms namedMetricSlice) Len() int { return len(nms) } 90 91 func (nms namedMetricSlice) Swap(i, j int) { nms[i], nms[j] = nms[j], nms[i] } 92 93 func (nms namedMetricSlice) Less(i, j int) bool { 94 return nms[i].name < nms[j].name 95 }