plugin/metrics: Switch to using promhttp instead of deprecated Handler (#1312)
prometheus.Handler is deprecated according to the godoc for the package so instead we're using promhttp. Additionally, we are exposing the Registry that metrics is using so other plugins that are not inside of coredns can read the registry. Otherwise, if we kept using the Default one, there's no way to access that from outside of the coredns repo since it is vendored.
This commit is contained in:
parent
1919913c98
commit
671d170619
6728 changed files with 1994787 additions and 16 deletions
20
vendor/github.com/rcrowley/go-metrics/cmd/metrics-bench/metrics-bench.go
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20
vendor/github.com/rcrowley/go-metrics/cmd/metrics-bench/metrics-bench.go
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package main
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import (
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"fmt"
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"github.com/rcrowley/go-metrics"
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"time"
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)
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func main() {
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r := metrics.NewRegistry()
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for i := 0; i < 10000; i++ {
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r.Register(fmt.Sprintf("counter-%d", i), metrics.NewCounter())
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r.Register(fmt.Sprintf("gauge-%d", i), metrics.NewGauge())
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r.Register(fmt.Sprintf("gaugefloat64-%d", i), metrics.NewGaugeFloat64())
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r.Register(fmt.Sprintf("histogram-uniform-%d", i), metrics.NewHistogram(metrics.NewUniformSample(1028)))
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r.Register(fmt.Sprintf("histogram-exp-%d", i), metrics.NewHistogram(metrics.NewExpDecaySample(1028, 0.015)))
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r.Register(fmt.Sprintf("meter-%d", i), metrics.NewMeter())
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}
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time.Sleep(600e9)
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}
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154
vendor/github.com/rcrowley/go-metrics/cmd/metrics-example/metrics-example.go
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154
vendor/github.com/rcrowley/go-metrics/cmd/metrics-example/metrics-example.go
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package main
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import (
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"errors"
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"github.com/rcrowley/go-metrics"
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// "github.com/rcrowley/go-metrics/stathat"
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"log"
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"math/rand"
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"os"
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// "syslog"
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"time"
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)
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const fanout = 10
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func main() {
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r := metrics.NewRegistry()
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c := metrics.NewCounter()
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r.Register("foo", c)
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for i := 0; i < fanout; i++ {
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go func() {
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for {
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c.Dec(19)
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time.Sleep(300e6)
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}
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}()
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go func() {
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for {
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c.Inc(47)
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time.Sleep(400e6)
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}
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}()
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}
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g := metrics.NewGauge()
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r.Register("bar", g)
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for i := 0; i < fanout; i++ {
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go func() {
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for {
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g.Update(19)
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time.Sleep(300e6)
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}
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}()
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go func() {
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for {
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g.Update(47)
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time.Sleep(400e6)
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}
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}()
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}
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gf := metrics.NewGaugeFloat64()
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r.Register("barfloat64", gf)
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for i := 0; i < fanout; i++ {
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go func() {
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for {
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g.Update(19.0)
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time.Sleep(300e6)
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}
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}()
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go func() {
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for {
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g.Update(47.0)
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time.Sleep(400e6)
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}
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}()
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}
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hc := metrics.NewHealthcheck(func(h metrics.Healthcheck) {
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if 0 < rand.Intn(2) {
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h.Healthy()
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} else {
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h.Unhealthy(errors.New("baz"))
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}
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})
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r.Register("baz", hc)
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s := metrics.NewExpDecaySample(1028, 0.015)
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//s := metrics.NewUniformSample(1028)
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h := metrics.NewHistogram(s)
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r.Register("bang", h)
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for i := 0; i < fanout; i++ {
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go func() {
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for {
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h.Update(19)
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time.Sleep(300e6)
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}
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}()
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go func() {
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for {
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h.Update(47)
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time.Sleep(400e6)
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}
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}()
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}
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m := metrics.NewMeter()
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r.Register("quux", m)
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for i := 0; i < fanout; i++ {
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go func() {
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for {
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m.Mark(19)
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time.Sleep(300e6)
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}
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}()
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go func() {
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for {
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m.Mark(47)
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time.Sleep(400e6)
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}
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}()
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}
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t := metrics.NewTimer()
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r.Register("hooah", t)
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for i := 0; i < fanout; i++ {
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go func() {
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for {
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t.Time(func() { time.Sleep(300e6) })
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}
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}()
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go func() {
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for {
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t.Time(func() { time.Sleep(400e6) })
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}
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}()
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}
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metrics.RegisterDebugGCStats(r)
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go metrics.CaptureDebugGCStats(r, 5e9)
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metrics.RegisterRuntimeMemStats(r)
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go metrics.CaptureRuntimeMemStats(r, 5e9)
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metrics.Log(r, 60e9, log.New(os.Stderr, "metrics: ", log.Lmicroseconds))
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/*
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w, err := syslog.Dial("unixgram", "/dev/log", syslog.LOG_INFO, "metrics")
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if nil != err { log.Fatalln(err) }
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metrics.Syslog(r, 60e9, w)
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*/
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/*
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addr, _ := net.ResolveTCPAddr("tcp", "127.0.0.1:2003")
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metrics.Graphite(r, 10e9, "metrics", addr)
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*/
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/*
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stathat.Stathat(r, 10e9, "example@example.com")
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*/
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}
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22
vendor/github.com/rcrowley/go-metrics/cmd/never-read/never-read.go
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vendor/github.com/rcrowley/go-metrics/cmd/never-read/never-read.go
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package main
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import (
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"log"
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"net"
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)
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func main() {
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addr, _ := net.ResolveTCPAddr("tcp", "127.0.0.1:2003")
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l, err := net.ListenTCP("tcp", addr)
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if nil != err {
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log.Fatalln(err)
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}
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log.Println("listening", l.Addr())
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for {
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c, err := l.AcceptTCP()
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if nil != err {
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log.Fatalln(err)
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}
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log.Println("accepted", c.RemoteAddr())
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}
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}
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156
vendor/github.com/rcrowley/go-metrics/exp/exp.go
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vendor/github.com/rcrowley/go-metrics/exp/exp.go
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// Hook go-metrics into expvar
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// on any /debug/metrics request, load all vars from the registry into expvar, and execute regular expvar handler
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package exp
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import (
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"expvar"
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"fmt"
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"net/http"
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"sync"
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"github.com/rcrowley/go-metrics"
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)
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type exp struct {
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expvarLock sync.Mutex // expvar panics if you try to register the same var twice, so we must probe it safely
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registry metrics.Registry
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}
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func (exp *exp) expHandler(w http.ResponseWriter, r *http.Request) {
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// load our variables into expvar
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exp.syncToExpvar()
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// now just run the official expvar handler code (which is not publicly callable, so pasted inline)
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w.Header().Set("Content-Type", "application/json; charset=utf-8")
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fmt.Fprintf(w, "{\n")
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first := true
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expvar.Do(func(kv expvar.KeyValue) {
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if !first {
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fmt.Fprintf(w, ",\n")
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}
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first = false
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fmt.Fprintf(w, "%q: %s", kv.Key, kv.Value)
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})
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fmt.Fprintf(w, "\n}\n")
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}
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// Exp will register an expvar powered metrics handler with http.DefaultServeMux on "/debug/vars"
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func Exp(r metrics.Registry) {
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h := ExpHandler(r)
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// this would cause a panic:
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// panic: http: multiple registrations for /debug/vars
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// http.HandleFunc("/debug/vars", e.expHandler)
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// haven't found an elegant way, so just use a different endpoint
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http.Handle("/debug/metrics", h)
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}
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// ExpHandler will return an expvar powered metrics handler.
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func ExpHandler(r metrics.Registry) http.Handler {
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e := exp{sync.Mutex{}, r}
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return http.HandlerFunc(e.expHandler)
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}
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func (exp *exp) getInt(name string) *expvar.Int {
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var v *expvar.Int
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exp.expvarLock.Lock()
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p := expvar.Get(name)
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if p != nil {
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v = p.(*expvar.Int)
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} else {
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v = new(expvar.Int)
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expvar.Publish(name, v)
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}
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exp.expvarLock.Unlock()
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return v
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}
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func (exp *exp) getFloat(name string) *expvar.Float {
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var v *expvar.Float
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exp.expvarLock.Lock()
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p := expvar.Get(name)
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if p != nil {
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v = p.(*expvar.Float)
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} else {
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v = new(expvar.Float)
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expvar.Publish(name, v)
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}
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exp.expvarLock.Unlock()
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return v
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}
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func (exp *exp) publishCounter(name string, metric metrics.Counter) {
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v := exp.getInt(name)
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v.Set(metric.Count())
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}
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func (exp *exp) publishGauge(name string, metric metrics.Gauge) {
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v := exp.getInt(name)
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v.Set(metric.Value())
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}
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func (exp *exp) publishGaugeFloat64(name string, metric metrics.GaugeFloat64) {
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exp.getFloat(name).Set(metric.Value())
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}
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func (exp *exp) publishHistogram(name string, metric metrics.Histogram) {
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h := metric.Snapshot()
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ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
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exp.getInt(name + ".count").Set(h.Count())
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exp.getFloat(name + ".min").Set(float64(h.Min()))
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exp.getFloat(name + ".max").Set(float64(h.Max()))
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exp.getFloat(name + ".mean").Set(float64(h.Mean()))
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exp.getFloat(name + ".std-dev").Set(float64(h.StdDev()))
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exp.getFloat(name + ".50-percentile").Set(float64(ps[0]))
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exp.getFloat(name + ".75-percentile").Set(float64(ps[1]))
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exp.getFloat(name + ".95-percentile").Set(float64(ps[2]))
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exp.getFloat(name + ".99-percentile").Set(float64(ps[3]))
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exp.getFloat(name + ".999-percentile").Set(float64(ps[4]))
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}
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func (exp *exp) publishMeter(name string, metric metrics.Meter) {
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m := metric.Snapshot()
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exp.getInt(name + ".count").Set(m.Count())
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exp.getFloat(name + ".one-minute").Set(float64(m.Rate1()))
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exp.getFloat(name + ".five-minute").Set(float64(m.Rate5()))
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exp.getFloat(name + ".fifteen-minute").Set(float64((m.Rate15())))
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exp.getFloat(name + ".mean").Set(float64(m.RateMean()))
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}
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func (exp *exp) publishTimer(name string, metric metrics.Timer) {
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t := metric.Snapshot()
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ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
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exp.getInt(name + ".count").Set(t.Count())
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exp.getFloat(name + ".min").Set(float64(t.Min()))
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exp.getFloat(name + ".max").Set(float64(t.Max()))
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exp.getFloat(name + ".mean").Set(float64(t.Mean()))
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exp.getFloat(name + ".std-dev").Set(float64(t.StdDev()))
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exp.getFloat(name + ".50-percentile").Set(float64(ps[0]))
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exp.getFloat(name + ".75-percentile").Set(float64(ps[1]))
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exp.getFloat(name + ".95-percentile").Set(float64(ps[2]))
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exp.getFloat(name + ".99-percentile").Set(float64(ps[3]))
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exp.getFloat(name + ".999-percentile").Set(float64(ps[4]))
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exp.getFloat(name + ".one-minute").Set(float64(t.Rate1()))
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exp.getFloat(name + ".five-minute").Set(float64(t.Rate5()))
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exp.getFloat(name + ".fifteen-minute").Set(float64((t.Rate15())))
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exp.getFloat(name + ".mean-rate").Set(float64(t.RateMean()))
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}
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|
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func (exp *exp) syncToExpvar() {
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exp.registry.Each(func(name string, i interface{}) {
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switch i.(type) {
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case metrics.Counter:
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exp.publishCounter(name, i.(metrics.Counter))
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case metrics.Gauge:
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exp.publishGauge(name, i.(metrics.Gauge))
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case metrics.GaugeFloat64:
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exp.publishGaugeFloat64(name, i.(metrics.GaugeFloat64))
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case metrics.Histogram:
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exp.publishHistogram(name, i.(metrics.Histogram))
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case metrics.Meter:
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exp.publishMeter(name, i.(metrics.Meter))
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case metrics.Timer:
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exp.publishTimer(name, i.(metrics.Timer))
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default:
|
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panic(fmt.Sprintf("unsupported type for '%s': %T", name, i))
|
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}
|
||||
})
|
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}
|
102
vendor/github.com/rcrowley/go-metrics/librato/client.go
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vendored
Normal file
102
vendor/github.com/rcrowley/go-metrics/librato/client.go
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vendored
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package librato
|
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|
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import (
|
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"bytes"
|
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"encoding/json"
|
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"fmt"
|
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"io/ioutil"
|
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"net/http"
|
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)
|
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|
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const Operations = "operations"
|
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const OperationsShort = "ops"
|
||||
|
||||
type LibratoClient struct {
|
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Email, Token string
|
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}
|
||||
|
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// property strings
|
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const (
|
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// display attributes
|
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Color = "color"
|
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DisplayMax = "display_max"
|
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DisplayMin = "display_min"
|
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DisplayUnitsLong = "display_units_long"
|
||||
DisplayUnitsShort = "display_units_short"
|
||||
DisplayStacked = "display_stacked"
|
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DisplayTransform = "display_transform"
|
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// special gauge display attributes
|
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SummarizeFunction = "summarize_function"
|
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Aggregate = "aggregate"
|
||||
|
||||
// metric keys
|
||||
Name = "name"
|
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Period = "period"
|
||||
Description = "description"
|
||||
DisplayName = "display_name"
|
||||
Attributes = "attributes"
|
||||
|
||||
// measurement keys
|
||||
MeasureTime = "measure_time"
|
||||
Source = "source"
|
||||
Value = "value"
|
||||
|
||||
// special gauge keys
|
||||
Count = "count"
|
||||
Sum = "sum"
|
||||
Max = "max"
|
||||
Min = "min"
|
||||
SumSquares = "sum_squares"
|
||||
|
||||
// batch keys
|
||||
Counters = "counters"
|
||||
Gauges = "gauges"
|
||||
|
||||
MetricsPostUrl = "https://metrics-api.librato.com/v1/metrics"
|
||||
)
|
||||
|
||||
type Measurement map[string]interface{}
|
||||
type Metric map[string]interface{}
|
||||
|
||||
type Batch struct {
|
||||
Gauges []Measurement `json:"gauges,omitempty"`
|
||||
Counters []Measurement `json:"counters,omitempty"`
|
||||
MeasureTime int64 `json:"measure_time"`
|
||||
Source string `json:"source"`
|
||||
}
|
||||
|
||||
func (self *LibratoClient) PostMetrics(batch Batch) (err error) {
|
||||
var (
|
||||
js []byte
|
||||
req *http.Request
|
||||
resp *http.Response
|
||||
)
|
||||
|
||||
if len(batch.Counters) == 0 && len(batch.Gauges) == 0 {
|
||||
return nil
|
||||
}
|
||||
|
||||
if js, err = json.Marshal(batch); err != nil {
|
||||
return
|
||||
}
|
||||
|
||||
if req, err = http.NewRequest("POST", MetricsPostUrl, bytes.NewBuffer(js)); err != nil {
|
||||
return
|
||||
}
|
||||
|
||||
req.Header.Set("Content-Type", "application/json")
|
||||
req.SetBasicAuth(self.Email, self.Token)
|
||||
|
||||
if resp, err = http.DefaultClient.Do(req); err != nil {
|
||||
return
|
||||
}
|
||||
|
||||
if resp.StatusCode != http.StatusOK {
|
||||
var body []byte
|
||||
if body, err = ioutil.ReadAll(resp.Body); err != nil {
|
||||
body = []byte(fmt.Sprintf("(could not fetch response body for error: %s)", err))
|
||||
}
|
||||
err = fmt.Errorf("Unable to post to Librato: %d %s %s", resp.StatusCode, resp.Status, string(body))
|
||||
}
|
||||
return
|
||||
}
|
235
vendor/github.com/rcrowley/go-metrics/librato/librato.go
generated
vendored
Normal file
235
vendor/github.com/rcrowley/go-metrics/librato/librato.go
generated
vendored
Normal file
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@ -0,0 +1,235 @@
|
|||
package librato
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"log"
|
||||
"math"
|
||||
"regexp"
|
||||
"time"
|
||||
|
||||
"github.com/rcrowley/go-metrics"
|
||||
)
|
||||
|
||||
// a regexp for extracting the unit from time.Duration.String
|
||||
var unitRegexp = regexp.MustCompile("[^\\d]+$")
|
||||
|
||||
// a helper that turns a time.Duration into librato display attributes for timer metrics
|
||||
func translateTimerAttributes(d time.Duration) (attrs map[string]interface{}) {
|
||||
attrs = make(map[string]interface{})
|
||||
attrs[DisplayTransform] = fmt.Sprintf("x/%d", int64(d))
|
||||
attrs[DisplayUnitsShort] = string(unitRegexp.Find([]byte(d.String())))
|
||||
return
|
||||
}
|
||||
|
||||
type Reporter struct {
|
||||
Email, Token string
|
||||
Namespace string
|
||||
Source string
|
||||
Interval time.Duration
|
||||
Registry metrics.Registry
|
||||
Percentiles []float64 // percentiles to report on histogram metrics
|
||||
TimerAttributes map[string]interface{} // units in which timers will be displayed
|
||||
intervalSec int64
|
||||
}
|
||||
|
||||
func NewReporter(r metrics.Registry, d time.Duration, e string, t string, s string, p []float64, u time.Duration) *Reporter {
|
||||
return &Reporter{e, t, "", s, d, r, p, translateTimerAttributes(u), int64(d / time.Second)}
|
||||
}
|
||||
|
||||
func Librato(r metrics.Registry, d time.Duration, e string, t string, s string, p []float64, u time.Duration) {
|
||||
NewReporter(r, d, e, t, s, p, u).Run()
|
||||
}
|
||||
|
||||
func (self *Reporter) Run() {
|
||||
log.Printf("WARNING: This client has been DEPRECATED! It has been moved to https://github.com/mihasya/go-metrics-librato and will be removed from rcrowley/go-metrics on August 5th 2015")
|
||||
ticker := time.Tick(self.Interval)
|
||||
metricsApi := &LibratoClient{self.Email, self.Token}
|
||||
for now := range ticker {
|
||||
var metrics Batch
|
||||
var err error
|
||||
if metrics, err = self.BuildRequest(now, self.Registry); err != nil {
|
||||
log.Printf("ERROR constructing librato request body %s", err)
|
||||
continue
|
||||
}
|
||||
if err := metricsApi.PostMetrics(metrics); err != nil {
|
||||
log.Printf("ERROR sending metrics to librato %s", err)
|
||||
continue
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// calculate sum of squares from data provided by metrics.Histogram
|
||||
// see http://en.wikipedia.org/wiki/Standard_deviation#Rapid_calculation_methods
|
||||
func sumSquares(s metrics.Sample) float64 {
|
||||
count := float64(s.Count())
|
||||
sumSquared := math.Pow(count*s.Mean(), 2)
|
||||
sumSquares := math.Pow(count*s.StdDev(), 2) + sumSquared/count
|
||||
if math.IsNaN(sumSquares) {
|
||||
return 0.0
|
||||
}
|
||||
return sumSquares
|
||||
}
|
||||
func sumSquaresTimer(t metrics.Timer) float64 {
|
||||
count := float64(t.Count())
|
||||
sumSquared := math.Pow(count*t.Mean(), 2)
|
||||
sumSquares := math.Pow(count*t.StdDev(), 2) + sumSquared/count
|
||||
if math.IsNaN(sumSquares) {
|
||||
return 0.0
|
||||
}
|
||||
return sumSquares
|
||||
}
|
||||
|
||||
func (self *Reporter) BuildRequest(now time.Time, r metrics.Registry) (snapshot Batch, err error) {
|
||||
snapshot = Batch{
|
||||
// coerce timestamps to a stepping fn so that they line up in Librato graphs
|
||||
MeasureTime: (now.Unix() / self.intervalSec) * self.intervalSec,
|
||||
Source: self.Source,
|
||||
}
|
||||
snapshot.Gauges = make([]Measurement, 0)
|
||||
snapshot.Counters = make([]Measurement, 0)
|
||||
histogramGaugeCount := 1 + len(self.Percentiles)
|
||||
r.Each(func(name string, metric interface{}) {
|
||||
if self.Namespace != "" {
|
||||
name = fmt.Sprintf("%s.%s", self.Namespace, name)
|
||||
}
|
||||
measurement := Measurement{}
|
||||
measurement[Period] = self.Interval.Seconds()
|
||||
switch m := metric.(type) {
|
||||
case metrics.Counter:
|
||||
if m.Count() > 0 {
|
||||
measurement[Name] = fmt.Sprintf("%s.%s", name, "count")
|
||||
measurement[Value] = float64(m.Count())
|
||||
measurement[Attributes] = map[string]interface{}{
|
||||
DisplayUnitsLong: Operations,
|
||||
DisplayUnitsShort: OperationsShort,
|
||||
DisplayMin: "0",
|
||||
}
|
||||
snapshot.Counters = append(snapshot.Counters, measurement)
|
||||
}
|
||||
case metrics.Gauge:
|
||||
measurement[Name] = name
|
||||
measurement[Value] = float64(m.Value())
|
||||
snapshot.Gauges = append(snapshot.Gauges, measurement)
|
||||
case metrics.GaugeFloat64:
|
||||
measurement[Name] = name
|
||||
measurement[Value] = float64(m.Value())
|
||||
snapshot.Gauges = append(snapshot.Gauges, measurement)
|
||||
case metrics.Histogram:
|
||||
if m.Count() > 0 {
|
||||
gauges := make([]Measurement, histogramGaugeCount, histogramGaugeCount)
|
||||
s := m.Sample()
|
||||
measurement[Name] = fmt.Sprintf("%s.%s", name, "hist")
|
||||
measurement[Count] = uint64(s.Count())
|
||||
measurement[Max] = float64(s.Max())
|
||||
measurement[Min] = float64(s.Min())
|
||||
measurement[Sum] = float64(s.Sum())
|
||||
measurement[SumSquares] = sumSquares(s)
|
||||
gauges[0] = measurement
|
||||
for i, p := range self.Percentiles {
|
||||
gauges[i+1] = Measurement{
|
||||
Name: fmt.Sprintf("%s.%.2f", measurement[Name], p),
|
||||
Value: s.Percentile(p),
|
||||
Period: measurement[Period],
|
||||
}
|
||||
}
|
||||
snapshot.Gauges = append(snapshot.Gauges, gauges...)
|
||||
}
|
||||
case metrics.Meter:
|
||||
measurement[Name] = name
|
||||
measurement[Value] = float64(m.Count())
|
||||
snapshot.Counters = append(snapshot.Counters, measurement)
|
||||
snapshot.Gauges = append(snapshot.Gauges,
|
||||
Measurement{
|
||||
Name: fmt.Sprintf("%s.%s", name, "1min"),
|
||||
Value: m.Rate1(),
|
||||
Period: int64(self.Interval.Seconds()),
|
||||
Attributes: map[string]interface{}{
|
||||
DisplayUnitsLong: Operations,
|
||||
DisplayUnitsShort: OperationsShort,
|
||||
DisplayMin: "0",
|
||||
},
|
||||
},
|
||||
Measurement{
|
||||
Name: fmt.Sprintf("%s.%s", name, "5min"),
|
||||
Value: m.Rate5(),
|
||||
Period: int64(self.Interval.Seconds()),
|
||||
Attributes: map[string]interface{}{
|
||||
DisplayUnitsLong: Operations,
|
||||
DisplayUnitsShort: OperationsShort,
|
||||
DisplayMin: "0",
|
||||
},
|
||||
},
|
||||
Measurement{
|
||||
Name: fmt.Sprintf("%s.%s", name, "15min"),
|
||||
Value: m.Rate15(),
|
||||
Period: int64(self.Interval.Seconds()),
|
||||
Attributes: map[string]interface{}{
|
||||
DisplayUnitsLong: Operations,
|
||||
DisplayUnitsShort: OperationsShort,
|
||||
DisplayMin: "0",
|
||||
},
|
||||
},
|
||||
)
|
||||
case metrics.Timer:
|
||||
measurement[Name] = name
|
||||
measurement[Value] = float64(m.Count())
|
||||
snapshot.Counters = append(snapshot.Counters, measurement)
|
||||
if m.Count() > 0 {
|
||||
libratoName := fmt.Sprintf("%s.%s", name, "timer.mean")
|
||||
gauges := make([]Measurement, histogramGaugeCount, histogramGaugeCount)
|
||||
gauges[0] = Measurement{
|
||||
Name: libratoName,
|
||||
Count: uint64(m.Count()),
|
||||
Sum: m.Mean() * float64(m.Count()),
|
||||
Max: float64(m.Max()),
|
||||
Min: float64(m.Min()),
|
||||
SumSquares: sumSquaresTimer(m),
|
||||
Period: int64(self.Interval.Seconds()),
|
||||
Attributes: self.TimerAttributes,
|
||||
}
|
||||
for i, p := range self.Percentiles {
|
||||
gauges[i+1] = Measurement{
|
||||
Name: fmt.Sprintf("%s.timer.%2.0f", name, p*100),
|
||||
Value: m.Percentile(p),
|
||||
Period: int64(self.Interval.Seconds()),
|
||||
Attributes: self.TimerAttributes,
|
||||
}
|
||||
}
|
||||
snapshot.Gauges = append(snapshot.Gauges, gauges...)
|
||||
snapshot.Gauges = append(snapshot.Gauges,
|
||||
Measurement{
|
||||
Name: fmt.Sprintf("%s.%s", name, "rate.1min"),
|
||||
Value: m.Rate1(),
|
||||
Period: int64(self.Interval.Seconds()),
|
||||
Attributes: map[string]interface{}{
|
||||
DisplayUnitsLong: Operations,
|
||||
DisplayUnitsShort: OperationsShort,
|
||||
DisplayMin: "0",
|
||||
},
|
||||
},
|
||||
Measurement{
|
||||
Name: fmt.Sprintf("%s.%s", name, "rate.5min"),
|
||||
Value: m.Rate5(),
|
||||
Period: int64(self.Interval.Seconds()),
|
||||
Attributes: map[string]interface{}{
|
||||
DisplayUnitsLong: Operations,
|
||||
DisplayUnitsShort: OperationsShort,
|
||||
DisplayMin: "0",
|
||||
},
|
||||
},
|
||||
Measurement{
|
||||
Name: fmt.Sprintf("%s.%s", name, "rate.15min"),
|
||||
Value: m.Rate15(),
|
||||
Period: int64(self.Interval.Seconds()),
|
||||
Attributes: map[string]interface{}{
|
||||
DisplayUnitsLong: Operations,
|
||||
DisplayUnitsShort: OperationsShort,
|
||||
DisplayMin: "0",
|
||||
},
|
||||
},
|
||||
)
|
||||
}
|
||||
}
|
||||
})
|
||||
return
|
||||
}
|
69
vendor/github.com/rcrowley/go-metrics/stathat/stathat.go
generated
vendored
Normal file
69
vendor/github.com/rcrowley/go-metrics/stathat/stathat.go
generated
vendored
Normal file
|
@ -0,0 +1,69 @@
|
|||
// Metrics output to StatHat.
|
||||
package stathat
|
||||
|
||||
import (
|
||||
"github.com/rcrowley/go-metrics"
|
||||
"github.com/stathat/go"
|
||||
"log"
|
||||
"time"
|
||||
)
|
||||
|
||||
func Stathat(r metrics.Registry, d time.Duration, userkey string) {
|
||||
for {
|
||||
if err := sh(r, userkey); nil != err {
|
||||
log.Println(err)
|
||||
}
|
||||
time.Sleep(d)
|
||||
}
|
||||
}
|
||||
|
||||
func sh(r metrics.Registry, userkey string) error {
|
||||
r.Each(func(name string, i interface{}) {
|
||||
switch metric := i.(type) {
|
||||
case metrics.Counter:
|
||||
stathat.PostEZCount(name, userkey, int(metric.Count()))
|
||||
case metrics.Gauge:
|
||||
stathat.PostEZValue(name, userkey, float64(metric.Value()))
|
||||
case metrics.GaugeFloat64:
|
||||
stathat.PostEZValue(name, userkey, float64(metric.Value()))
|
||||
case metrics.Histogram:
|
||||
h := metric.Snapshot()
|
||||
ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
|
||||
stathat.PostEZCount(name+".count", userkey, int(h.Count()))
|
||||
stathat.PostEZValue(name+".min", userkey, float64(h.Min()))
|
||||
stathat.PostEZValue(name+".max", userkey, float64(h.Max()))
|
||||
stathat.PostEZValue(name+".mean", userkey, float64(h.Mean()))
|
||||
stathat.PostEZValue(name+".std-dev", userkey, float64(h.StdDev()))
|
||||
stathat.PostEZValue(name+".50-percentile", userkey, float64(ps[0]))
|
||||
stathat.PostEZValue(name+".75-percentile", userkey, float64(ps[1]))
|
||||
stathat.PostEZValue(name+".95-percentile", userkey, float64(ps[2]))
|
||||
stathat.PostEZValue(name+".99-percentile", userkey, float64(ps[3]))
|
||||
stathat.PostEZValue(name+".999-percentile", userkey, float64(ps[4]))
|
||||
case metrics.Meter:
|
||||
m := metric.Snapshot()
|
||||
stathat.PostEZCount(name+".count", userkey, int(m.Count()))
|
||||
stathat.PostEZValue(name+".one-minute", userkey, float64(m.Rate1()))
|
||||
stathat.PostEZValue(name+".five-minute", userkey, float64(m.Rate5()))
|
||||
stathat.PostEZValue(name+".fifteen-minute", userkey, float64(m.Rate15()))
|
||||
stathat.PostEZValue(name+".mean", userkey, float64(m.RateMean()))
|
||||
case metrics.Timer:
|
||||
t := metric.Snapshot()
|
||||
ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
|
||||
stathat.PostEZCount(name+".count", userkey, int(t.Count()))
|
||||
stathat.PostEZValue(name+".min", userkey, float64(t.Min()))
|
||||
stathat.PostEZValue(name+".max", userkey, float64(t.Max()))
|
||||
stathat.PostEZValue(name+".mean", userkey, float64(t.Mean()))
|
||||
stathat.PostEZValue(name+".std-dev", userkey, float64(t.StdDev()))
|
||||
stathat.PostEZValue(name+".50-percentile", userkey, float64(ps[0]))
|
||||
stathat.PostEZValue(name+".75-percentile", userkey, float64(ps[1]))
|
||||
stathat.PostEZValue(name+".95-percentile", userkey, float64(ps[2]))
|
||||
stathat.PostEZValue(name+".99-percentile", userkey, float64(ps[3]))
|
||||
stathat.PostEZValue(name+".999-percentile", userkey, float64(ps[4]))
|
||||
stathat.PostEZValue(name+".one-minute", userkey, float64(t.Rate1()))
|
||||
stathat.PostEZValue(name+".five-minute", userkey, float64(t.Rate5()))
|
||||
stathat.PostEZValue(name+".fifteen-minute", userkey, float64(t.Rate15()))
|
||||
stathat.PostEZValue(name+".mean-rate", userkey, float64(t.RateMean()))
|
||||
}
|
||||
})
|
||||
return nil
|
||||
}
|
Loading…
Add table
Add a link
Reference in a new issue