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Merge pull request #96 from Dieterbe/expvar
support serving up go-metrics as expvars
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@@ -103,6 +103,19 @@ import "github.com/rcrowley/go-metrics/stathat" | |
go stathat.Stathat(metrics.DefaultRegistry, 10e9, "[email protected]") | ||
``` | ||
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Maintain all metrics along with expvars at `/debug/metrics`: | ||
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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. | ||
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```go | ||
import "github.com/rcrowley/go-metrics/exp" | ||
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exp.Exp(metrics.DefaultRegistry) | ||
``` | ||
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Installation | ||
------------ | ||
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@@ -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 | ||
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import ( | ||
"expvar" | ||
"fmt" | ||
"github.com/rcrowley/go-metrics" | ||
"net/http" | ||
"sync" | ||
) | ||
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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 | ||
} | ||
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func (exp *exp) expHandler(w http.ResponseWriter, r *http.Request) { | ||
// load our variables into expvar | ||
exp.syncToExpvar() | ||
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// 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") | ||
} | ||
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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) | ||
} | ||
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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 | ||
} | ||
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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 | ||
} | ||
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func (exp *exp) publishCounter(name string, metric metrics.Counter) { | ||
v := exp.getInt(name) | ||
v.Set(metric.Count()) | ||
} | ||
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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()) | ||
} | ||
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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])) | ||
} | ||
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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())) | ||
} | ||
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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())) | ||
} | ||
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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)) | ||
} | ||
}) | ||
} |