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support serving up go-metrics as expvars #96

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13 changes: 13 additions & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -90,6 +90,19 @@ import "github.com/rcrowley/go-metrics/stathat"
go stathat.Stathat(metrics.DefaultRegistry, 10e9, "[email protected]")
```

Maintain all metrics along with expvars at `/debug/metrics`:

This uses the same mechanism as [the official expvar](http://golang.org/pkg/expvar/)
but exposed under `/debug/metrics`, which shows a json representation of all your usual expvars
as well as all your go-metrics.


```go
import "github.com/rcrowley/go-metrics/exp"

exp.Exp(metrics.DefaultRegistry)
```

Installation
------------

Expand Down
148 changes: 148 additions & 0 deletions exp/exp.go
Original file line number Diff line number Diff line change
@@ -0,0 +1,148 @@
// Hook go-metrics into expvar
// on any /debug/metrics request, load all vars from the registry into expvar, and execute regular expvar handler
package exp

import (
"expvar"
"fmt"
"github.com/rcrowley/go-metrics"
"net/http"
"sync"
)

type exp struct {
expvarLock sync.Mutex // expvar panics if you try to register the same var twice, so we must probe it safely
registry metrics.Registry
}

func (exp *exp) expHandler(w http.ResponseWriter, r *http.Request) {
// load our variables into expvar
exp.syncToExpvar()

// now just run the official expvar handler code (which is not publicly callable, so pasted inline)
w.Header().Set("Content-Type", "application/json; charset=utf-8")
fmt.Fprintf(w, "{\n")
first := true
expvar.Do(func(kv expvar.KeyValue) {
if !first {
fmt.Fprintf(w, ",\n")
}
first = false
fmt.Fprintf(w, "%q: %s", kv.Key, kv.Value)
})
fmt.Fprintf(w, "\n}\n")
}

func Exp(r metrics.Registry) {
e := exp{sync.Mutex{}, r}
// this would cause a panic:
// panic: http: multiple registrations for /debug/vars
// http.HandleFunc("/debug/vars", e.expHandler)
// haven't found an elegant way, so just use a different endpoint
http.HandleFunc("/debug/metrics", e.expHandler)
}

func (exp *exp) getInt(name string) *expvar.Int {
var v *expvar.Int
exp.expvarLock.Lock()
p := expvar.Get(name)
if p != nil {
v = p.(*expvar.Int)
} else {
v = new(expvar.Int)
expvar.Publish(name, v)
}
exp.expvarLock.Unlock()
return v
}

func (exp *exp) getFloat(name string) *expvar.Float {
var v *expvar.Float
exp.expvarLock.Lock()
p := expvar.Get(name)
if p != nil {
v = p.(*expvar.Float)
} else {
v = new(expvar.Float)
expvar.Publish(name, v)
}
exp.expvarLock.Unlock()
return v
}

func (exp *exp) publishCounter(name string, metric metrics.Counter) {
v := exp.getInt(name)
v.Set(metric.Count())
}

func (exp *exp) publishGauge(name string, metric metrics.Gauge) {
v := exp.getInt(name)
v.Set(metric.Value())
}
func (exp *exp) publishGaugeFloat64(name string, metric metrics.GaugeFloat64) {
exp.getFloat(name).Set(metric.Value())
}

func (exp *exp) publishHistogram(name string, metric metrics.Histogram) {
h := metric.Snapshot()
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
exp.getInt(name + ".count").Set(h.Count())
exp.getFloat(name + ".min").Set(float64(h.Min()))
exp.getFloat(name + ".max").Set(float64(h.Max()))
exp.getFloat(name + ".mean").Set(float64(h.Mean()))
exp.getFloat(name + ".std-dev").Set(float64(h.StdDev()))
exp.getFloat(name + ".50-percentile").Set(float64(ps[0]))
exp.getFloat(name + ".75-percentile").Set(float64(ps[1]))
exp.getFloat(name + ".95-percentile").Set(float64(ps[2]))
exp.getFloat(name + ".99-percentile").Set(float64(ps[3]))
exp.getFloat(name + ".999-percentile").Set(float64(ps[4]))
}

func (exp *exp) publishMeter(name string, metric metrics.Meter) {
m := metric.Snapshot()
exp.getInt(name + ".count").Set(m.Count())
exp.getFloat(name + ".one-minute").Set(float64(m.Rate1()))
exp.getFloat(name + ".five-minute").Set(float64(m.Rate5()))
exp.getFloat(name + ".fifteen-minute").Set(float64((m.Rate15())))
exp.getFloat(name + ".mean").Set(float64(m.RateMean()))
}

func (exp *exp) publishTimer(name string, metric metrics.Timer) {
t := metric.Snapshot()
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
exp.getInt(name + ".count").Set(t.Count())
exp.getFloat(name + ".min").Set(float64(t.Min()))
exp.getFloat(name + ".max").Set(float64(t.Max()))
exp.getFloat(name + ".mean").Set(float64(t.Mean()))
exp.getFloat(name + ".std-dev").Set(float64(t.StdDev()))
exp.getFloat(name + ".50-percentile").Set(float64(ps[0]))
exp.getFloat(name + ".75-percentile").Set(float64(ps[1]))
exp.getFloat(name + ".95-percentile").Set(float64(ps[2]))
exp.getFloat(name + ".99-percentile").Set(float64(ps[3]))
exp.getFloat(name + ".999-percentile").Set(float64(ps[4]))
exp.getFloat(name + ".one-minute").Set(float64(t.Rate1()))
exp.getFloat(name + ".five-minute").Set(float64(t.Rate5()))
exp.getFloat(name + ".fifteen-minute").Set(float64((t.Rate15())))
exp.getFloat(name + ".mean-rate").Set(float64(t.RateMean()))
}

func (exp *exp) syncToExpvar() {
exp.registry.Each(func(name string, i interface{}) {
switch i.(type) {
case metrics.Counter:
exp.publishCounter(name, i.(metrics.Counter))
case metrics.Gauge:
exp.publishGauge(name, i.(metrics.Gauge))
case metrics.GaugeFloat64:
exp.publishGaugeFloat64(name, i.(metrics.GaugeFloat64))
case metrics.Histogram:
exp.publishHistogram(name, i.(metrics.Histogram))
case metrics.Meter:
exp.publishMeter(name, i.(metrics.Meter))
case metrics.Timer:
exp.publishTimer(name, i.(metrics.Timer))
default:
panic(fmt.Sprintf("unsupported type for '%s': %T", name, i))
}
})
}