metrics: remove old metrics

metrics/metrics.go

@@ -1,42 +0,0 @@
-// Package metrics provides both a means of generating metrics and the ability
-// to send metric data to a graphite endpoint.
-// The usage of this package without providing a graphite_addr when calling
-// NewBucket results in NOP metric objects. No data will be collected.
-package metrics
-
-import (
-	"io"
-
-	gometrics "github.com/coreos/etcd/third_party/github.com/rcrowley/go-metrics"
-)
-
-type Timer gometrics.Timer
-type Gauge gometrics.Gauge
-
-type Bucket interface {
-	// If a timer exists in this Bucket, return it. Otherwise, create
-	// a new timer with the given name and store it in this Bucket.
-	// The returned object will fulfull the Timer interface.
-	Timer(name string) Timer
-
-	// This acts similarly to Timer, but with objects that fufill the
-	// Gauge interface.
-	Gauge(name string) Gauge
-
-	// Write the current state of all Metrics in a human-readable format
-	// to the provide io.Writer.
-	Dump(io.Writer)
-
-	// Instruct the Bucket to periodically push all metric data to the
-	// provided graphite endpoint.
-	Publish(string) error
-}
-
-// Create a new Bucket object that periodically
-func NewBucket(name string) Bucket {
-	if name == "" {
-		return nilBucket{}
-	}
-
-	return newStandardBucket(name)
-}

metrics/nil.go

@@ -1,25 +0,0 @@
-package metrics
-
-import (
-	"io"
-
-	gometrics "github.com/coreos/etcd/third_party/github.com/rcrowley/go-metrics"
-)
-
-type nilBucket struct{}
-
-func (nmb nilBucket) Dump(w io.Writer) {
-	return
-}
-
-func (nmb nilBucket) Timer(name string) Timer {
-	return gometrics.NilTimer{}
-}
-
-func (nmf nilBucket) Gauge(name string) Gauge {
-	return gometrics.NilGauge{}
-}
-
-func (nmf nilBucket) Publish(string) error {
-	return nil
-}

metrics/standard.go

@@ -1,86 +0,0 @@
-package metrics
-
-import (
-	"io"
-	"net"
-	"sync"
-	"time"
-
-	gometrics "github.com/coreos/etcd/third_party/github.com/rcrowley/go-metrics"
-)
-
-const (
-	// RuntimeMemStatsSampleInterval is the interval in seconds at which the
-	// Go runtime's memory statistics will be gathered.
-	RuntimeMemStatsSampleInterval = time.Duration(2) * time.Second
-
-	// GraphitePublishInterval is the interval in seconds at which all
-	// gathered statistics will be published to a Graphite endpoint.
-	GraphitePublishInterval = time.Duration(2) * time.Second
-)
-
-type standardBucket struct {
-	sync.Mutex
-	name     string
-	registry gometrics.Registry
-	timers   map[string]Timer
-	gauges   map[string]Gauge
-}
-
-func newStandardBucket(name string) standardBucket {
-	registry := gometrics.NewRegistry()
-
-	gometrics.RegisterRuntimeMemStats(registry)
-	go gometrics.CaptureRuntimeMemStats(registry, RuntimeMemStatsSampleInterval)
-
-	return standardBucket{
-		name:     name,
-		registry: registry,
-		timers:   make(map[string]Timer),
-		gauges:   make(map[string]Gauge),
-	}
-}
-
-func (smb standardBucket) Dump(w io.Writer) {
-	gometrics.WriteOnce(smb.registry, w)
-	return
-}
-
-func (smb standardBucket) Timer(name string) Timer {
-	smb.Lock()
-	defer smb.Unlock()
-
-	timer, ok := smb.timers[name]
-	if !ok {
-		timer = gometrics.NewTimer()
-		smb.timers[name] = timer
-		smb.registry.Register(name, timer)
-	}
-
-	return timer
-}
-
-func (smb standardBucket) Gauge(name string) Gauge {
-	smb.Lock()
-	defer smb.Unlock()
-
-	gauge, ok := smb.gauges[name]
-	if !ok {
-		gauge = gometrics.NewGauge()
-		smb.gauges[name] = gauge
-		smb.registry.Register(name, gauge)
-	}
-
-	return gauge
-}
-
-func (smb standardBucket) Publish(graphite_addr string) error {
-	addr, err := net.ResolveTCPAddr("tcp", graphite_addr)
-	if err != nil {
-		return err
-	}
-
-	go gometrics.Graphite(smb.registry, GraphitePublishInterval, smb.name, addr)
-
-	return nil
-}

third_party/github.com/rcrowley/go-metrics/.gitignore

@@ -1,9 +0,0 @@
-*.[68]
-*.a
-*.out
-*.swp
-_obj
-_testmain.go
-cmd/metrics-bench/metrics-bench
-cmd/metrics-example/metrics-example
-cmd/never-read/never-read

third_party/github.com/rcrowley/go-metrics/LICENSE

@@ -1,29 +0,0 @@
-Copyright 2012 Richard Crowley. All rights reserved.
-
-Redistribution and use in source and binary forms, with or without
-modification, are permitted provided that the following conditions are
-met:
-
-    1.  Redistributions of source code must retain the above copyright
-        notice, this list of conditions and the following disclaimer.
-
-    2.  Redistributions in binary form must reproduce the above
-        copyright notice, this list of conditions and the following
-        disclaimer in the documentation and/or other materials provided
-        with the distribution.
-
-THIS SOFTWARE IS PROVIDED BY RICHARD CROWLEY ``AS IS'' AND ANY EXPRESS
-OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
-WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
-DISCLAIMED. IN NO EVENT SHALL RICHARD CROWLEY OR CONTRIBUTORS BE LIABLE
-FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
-CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
-SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
-INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
-CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
-ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF
-THE POSSIBILITY OF SUCH DAMAGE.
-
-The views and conclusions contained in the software and documentation
-are those of the authors and should not be interpreted as representing
-official policies, either expressed or implied, of Richard Crowley.

third_party/github.com/rcrowley/go-metrics/README.md

@@ -1,76 +0,0 @@
-go-metrics
-==========
-
-Go port of Coda Hale's Metrics library: <https://github.com/codahale/metrics>.
-
-Documentation: <http://godoc.org/github.com/rcrowley/go-metrics>.
-
-Usage
------
-
-Create and update metrics:
-
-```go
-c := metrics.NewCounter()
-metrics.Register("foo", c)
-c.Inc(47)
-
-g := metrics.NewGauge()
-metrics.Register("bar", g)
-g.Update(47)
-
-s := metrics.NewExpDecaySample(1028, 0.015) // or metrics.NewUniformSample(1028)
-h := metrics.NewHistogram(s)
-metrics.Register("baz", h)
-h.Update(47)
-
-m := metrics.NewMeter()
-metrics.Register("quux", m)
-m.Mark(47)
-
-t := metrics.NewTimer()
-metrics.Register("bang", t)
-t.Time(func() {})
-t.Update(47)
-```
-
-Periodically log every metric in human-readable form to standard error:
-
-```go
-go metrics.Log(metrics.DefaultRegistry, 60e9, log.New(os.Stderr, "metrics: ", log.Lmicroseconds))
-```
-
-Periodically log every metric in slightly-more-parseable form to syslog:
-
-```go
-w, _ := syslog.Dial("unixgram", "/dev/log", syslog.LOG_INFO, "metrics")
-go metrics.Syslog(metrics.DefaultRegistry, 60e9, w)
-```
-
-Periodically emit every metric to Graphite:
-
-```go
-addr, _ := net.ResolveTCPAddr("tcp", "127.0.0.1:2003")
-go metrics.Graphite(metrics.DefaultRegistry, 10e9, "metrics", addr)
-```
-
-Periodically emit every metric to StatHat:
-
-```go
-import "github.com/rcrowley/go-metrics/stathat"
-
-stathat.Stathat(metrics.DefaultRegistry, 10e9, "example@example.com")
-```
-
-Installation
-------------
-
-```sh
-go get github.com/rcrowley/go-metrics
-```
-
-StatHat support additionally requires their Go client:
-
-```sh
-go get github.com/stathat/go
-```

third_party/github.com/rcrowley/go-metrics/cmd/metrics-bench/metrics-bench.go

@@ -1,19 +0,0 @@
-package main
-
-import (
-	"fmt"
-	"github.com/coreos/etcd/third_party/github.com/rcrowley/go-metrics"
-	"time"
-)
-
-func main() {
-	r := metrics.NewRegistry()
-	for i := 0; i < 10000; i++ {
-		r.Register(fmt.Sprintf("counter-%d", i), metrics.NewCounter())
-		r.Register(fmt.Sprintf("gauge-%d", i), metrics.NewGauge())
-		r.Register(fmt.Sprintf("histogram-uniform-%d", i), metrics.NewHistogram(metrics.NewUniformSample(1028)))
-		r.Register(fmt.Sprintf("histogram-exp-%d", i), metrics.NewHistogram(metrics.NewExpDecaySample(1028, 0.015)))
-		r.Register(fmt.Sprintf("meter-%d", i), metrics.NewMeter())
-	}
-	time.Sleep(600e9)
-}

third_party/github.com/rcrowley/go-metrics/cmd/metrics-example/metrics-example.go

@@ -1,137 +0,0 @@
-package main
-
-import (
-	"errors"
-	"github.com/coreos/etcd/third_party/github.com/rcrowley/go-metrics"
-	// "github.com/rcrowley/go-metrics/stathat"
-	"log"
-	"math/rand"
-	"os"
-	// "syslog"
-	"time"
-)
-
-const fanout = 10
-
-func main() {
-
-	r := metrics.NewRegistry()
-
-	c := metrics.NewCounter()
-	r.Register("foo", c)
-	for i := 0; i < fanout; i++ {
-		go func() {
-			for {
-				c.Dec(19)
-				time.Sleep(300e6)
-			}
-		}()
-		go func() {
-			for {
-				c.Inc(47)
-				time.Sleep(400e6)
-			}
-		}()
-	}
-
-	g := metrics.NewGauge()
-	r.Register("bar", g)
-	for i := 0; i < fanout; i++ {
-		go func() {
-			for {
-				g.Update(19)
-				time.Sleep(300e6)
-			}
-		}()
-		go func() {
-			for {
-				g.Update(47)
-				time.Sleep(400e6)
-			}
-		}()
-	}
-
-	hc := metrics.NewHealthcheck(func(h metrics.Healthcheck) {
-		if 0 < rand.Intn(2) {
-			h.Healthy()
-		} else {
-			h.Unhealthy(errors.New("baz"))
-		}
-	})
-	r.Register("baz", hc)
-
-	s := metrics.NewExpDecaySample(1028, 0.015)
-	//s := metrics.NewUniformSample(1028)
-	h := metrics.NewHistogram(s)
-	r.Register("bang", h)
-	for i := 0; i < fanout; i++ {
-		go func() {
-			for {
-				h.Update(19)
-				time.Sleep(300e6)
-			}
-		}()
-		go func() {
-			for {
-				h.Update(47)
-				time.Sleep(400e6)
-			}
-		}()
-	}
-
-	m := metrics.NewMeter()
-	r.Register("quux", m)
-	for i := 0; i < fanout; i++ {
-		go func() {
-			for {
-				m.Mark(19)
-				time.Sleep(300e6)
-			}
-		}()
-		go func() {
-			for {
-				m.Mark(47)
-				time.Sleep(400e6)
-			}
-		}()
-	}
-
-	t := metrics.NewTimer()
-	r.Register("hooah", t)
-	for i := 0; i < fanout; i++ {
-		go func() {
-			for {
-				t.Time(func() { time.Sleep(300e6) })
-			}
-		}()
-		go func() {
-			for {
-				t.Time(func() { time.Sleep(400e6) })
-			}
-		}()
-	}
-
-	metrics.RegisterDebugGCStats(r)
-	go metrics.CaptureDebugGCStats(r, 5e9)
-
-	metrics.RegisterRuntimeMemStats(r)
-	go metrics.CaptureRuntimeMemStats(r, 5e9)
-
-	metrics.Log(r, 60e9, log.New(os.Stderr, "metrics: ", log.Lmicroseconds))
-
-	/*
-		w, err := syslog.Dial("unixgram", "/dev/log", syslog.LOG_INFO, "metrics")
-		if nil != err { log.Fatalln(err) }
-		metrics.Syslog(r, 60e9, w)
-	*/
-
-	/*
-		addr, _ := net.ResolveTCPAddr("tcp", "127.0.0.1:2003")
-		metrics.Graphite(r, 10e9, "metrics", addr)
-	*/
-
-	/*
-		stathat.Stathat(r, 10e9, "example@example.com")
-	*/
-
-}

third_party/github.com/rcrowley/go-metrics/cmd/never-read/never-read.go

@@ -1,22 +0,0 @@
-package main
-
-import (
-	"log"
-	"net"
-)
-
-func main() {
-	addr, _ := net.ResolveTCPAddr("tcp", "127.0.0.1:2003")
-	l, err := net.ListenTCP("tcp", addr)
-	if nil != err {
-		log.Fatalln(err)
-	}
-	log.Println("listening", l.Addr())
-	for {
-		c, err := l.AcceptTCP()
-		if nil != err {
-			log.Fatalln(err)
-		}
-		log.Println("accepted", c.RemoteAddr())
-	}
-}

third_party/github.com/rcrowley/go-metrics/counter.go

@@ -1,112 +0,0 @@
-package metrics
-
-import "sync/atomic"
-
-// Counters hold an int64 value that can be incremented and decremented.
-type Counter interface {
-	Clear()
-	Count() int64
-	Dec(int64)
-	Inc(int64)
-	Snapshot() Counter
-}
-
-// GetOrRegisterCounter returns an existing Counter or constructs and registers
-// a new StandardCounter.
-func GetOrRegisterCounter(name string, r Registry) Counter {
-	if nil == r {
-		r = DefaultRegistry
-	}
-	return r.GetOrRegister(name, NewCounter()).(Counter)
-}
-
-// NewCounter constructs a new StandardCounter.
-func NewCounter() Counter {
-	if UseNilMetrics {
-		return NilCounter{}
-	}
-	return &StandardCounter{0}
-}
-
-// NewRegisteredCounter constructs and registers a new StandardCounter.
-func NewRegisteredCounter(name string, r Registry) Counter {
-	c := NewCounter()
-	if nil == r {
-		r = DefaultRegistry
-	}
-	r.Register(name, c)
-	return c
-}
-
-// CounterSnapshot is a read-only copy of another Counter.
-type CounterSnapshot int64
-
-// Clear panics.
-func (CounterSnapshot) Clear() {
-	panic("Clear called on a CounterSnapshot")
-}
-
-// Count returns the count at the time the snapshot was taken.
-func (c CounterSnapshot) Count() int64 { return int64(c) }
-
-// Dec panics.
-func (CounterSnapshot) Dec(int64) {
-	panic("Dec called on a CounterSnapshot")
-}
-
-// Inc panics.
-func (CounterSnapshot) Inc(int64) {
-	panic("Inc called on a CounterSnapshot")
-}
-
-// Snapshot returns the snapshot.
-func (c CounterSnapshot) Snapshot() Counter { return c }
-
-// NilCounter is a no-op Counter.
-type NilCounter struct{}
-
-// Clear is a no-op.
-func (NilCounter) Clear() {}
-
-// Count is a no-op.
-func (NilCounter) Count() int64 { return 0 }
-
-// Dec is a no-op.
-func (NilCounter) Dec(i int64) {}
-
-// Inc is a no-op.
-func (NilCounter) Inc(i int64) {}
-
-// Snapshot is a no-op.
-func (NilCounter) Snapshot() Counter { return NilCounter{} }
-
-// StandardCounter is the standard implementation of a Counter and uses the
-// sync/atomic package to manage a single int64 value.
-type StandardCounter struct {
-	count int64
-}
-
-// Clear sets the counter to zero.
-func (c *StandardCounter) Clear() {
-	atomic.StoreInt64(&c.count, 0)
-}
-
-// Count returns the current count.
-func (c *StandardCounter) Count() int64 {
-	return atomic.LoadInt64(&c.count)
-}
-
-// Dec decrements the counter by the given amount.
-func (c *StandardCounter) Dec(i int64) {
-	atomic.AddInt64(&c.count, -i)
-}
-
-// Inc increments the counter by the given amount.
-func (c *StandardCounter) Inc(i int64) {
-	atomic.AddInt64(&c.count, i)
-}
-
-// Snapshot returns a read-only copy of the counter.
-func (c *StandardCounter) Snapshot() Counter {
-	return CounterSnapshot(c.Count())
-}

third_party/github.com/rcrowley/go-metrics/counter_test.go

@@ -1,77 +0,0 @@
-package metrics
-
-import "testing"
-
-func BenchmarkCounter(b *testing.B) {
-	c := NewCounter()
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		c.Inc(1)
-	}
-}
-
-func TestCounterClear(t *testing.T) {
-	c := NewCounter()
-	c.Inc(1)
-	c.Clear()
-	if count := c.Count(); 0 != count {
-		t.Errorf("c.Count(): 0 != %v\n", count)
-	}
-}
-
-func TestCounterDec1(t *testing.T) {
-	c := NewCounter()
-	c.Dec(1)
-	if count := c.Count(); -1 != count {
-		t.Errorf("c.Count(): -1 != %v\n", count)
-	}
-}
-
-func TestCounterDec2(t *testing.T) {
-	c := NewCounter()
-	c.Dec(2)
-	if count := c.Count(); -2 != count {
-		t.Errorf("c.Count(): -2 != %v\n", count)
-	}
-}
-
-func TestCounterInc1(t *testing.T) {
-	c := NewCounter()
-	c.Inc(1)
-	if count := c.Count(); 1 != count {
-		t.Errorf("c.Count(): 1 != %v\n", count)
-	}
-}
-
-func TestCounterInc2(t *testing.T) {
-	c := NewCounter()
-	c.Inc(2)
-	if count := c.Count(); 2 != count {
-		t.Errorf("c.Count(): 2 != %v\n", count)
-	}
-}
-
-func TestCounterSnapshot(t *testing.T) {
-	c := NewCounter()
-	c.Inc(1)
-	snapshot := c.Snapshot()
-	c.Inc(1)
-	if count := snapshot.Count(); 1 != count {
-		t.Errorf("c.Count(): 1 != %v\n", count)
-	}
-}
-
-func TestCounterZero(t *testing.T) {
-	c := NewCounter()
-	if count := c.Count(); 0 != count {
-		t.Errorf("c.Count(): 0 != %v\n", count)
-	}
-}
-
-func TestGetOrRegisterCounter(t *testing.T) {
-	r := NewRegistry()
-	NewRegisteredCounter("foo", r).Inc(47)
-	if c := GetOrRegisterCounter("foo", r); 47 != c.Count() {
-		t.Fatal(c)
-	}
-}

third_party/github.com/rcrowley/go-metrics/debug.go

@@ -1,77 +0,0 @@
-package metrics
-
-import (
-	"runtime/debug"
-	"time"
-)
-
-var (
-	debugMetrics struct {
-		GCStats struct {
-			LastGC Gauge
-			NumGC  Gauge
-			Pause  Histogram
-			//PauseQuantiles Histogram
-			PauseTotal Gauge
-		}
-		ReadGCStats Timer
-	}
-	gcStats debug.GCStats
-)
-
-// Capture new values for the Go garbage collector statistics exported in
-// debug.GCStats.  This is designed to be called as a goroutine.
-func CaptureDebugGCStats(r Registry, d time.Duration) {
-	for {
-		CaptureDebugGCStatsOnce(r)
-		time.Sleep(d)
-	}
-}
-
-// Capture new values for the Go garbage collector statistics exported in
-// debug.GCStats.  This is designed to be called in a background goroutine.
-// Giving a registry which has not been given to RegisterDebugGCStats will
-// panic.
-//
-// Be careful (but much less so) with this because debug.ReadGCStats calls
-// the C function runtime·lock(runtime·mheap) which, while not a stop-the-world
-// operation, isn't something you want to be doing all the time.
-func CaptureDebugGCStatsOnce(r Registry) {
-	lastGC := gcStats.LastGC
-	t := time.Now()
-	debug.ReadGCStats(&gcStats)
-	debugMetrics.ReadGCStats.UpdateSince(t)
-
-	debugMetrics.GCStats.LastGC.Update(int64(gcStats.LastGC.UnixNano()))
-	debugMetrics.GCStats.NumGC.Update(int64(gcStats.NumGC))
-	if lastGC != gcStats.LastGC && 0 < len(gcStats.Pause) {
-		debugMetrics.GCStats.Pause.Update(int64(gcStats.Pause[0]))
-	}
-	//debugMetrics.GCStats.PauseQuantiles.Update(gcStats.PauseQuantiles)
-	debugMetrics.GCStats.PauseTotal.Update(int64(gcStats.PauseTotal))
-}
-
-// Register metrics for the Go garbage collector statistics exported in
-// debug.GCStats.  The metrics are named by their fully-qualified Go symbols,
-// i.e. debug.GCStats.PauseTotal.
-func RegisterDebugGCStats(r Registry) {
-	debugMetrics.GCStats.LastGC = NewGauge()
-	debugMetrics.GCStats.NumGC = NewGauge()
-	debugMetrics.GCStats.Pause = NewHistogram(NewExpDecaySample(1028, 0.015))
-	//debugMetrics.GCStats.PauseQuantiles = NewHistogram(NewExpDecaySample(1028, 0.015))
-	debugMetrics.GCStats.PauseTotal = NewGauge()
-	debugMetrics.ReadGCStats = NewTimer()
-
-	r.Register("debug.GCStats.LastGC", debugMetrics.GCStats.LastGC)
-	r.Register("debug.GCStats.NumGC", debugMetrics.GCStats.NumGC)
-	r.Register("debug.GCStats.Pause", debugMetrics.GCStats.Pause)
-	//r.Register("debug.GCStats.PauseQuantiles", debugMetrics.GCStats.PauseQuantiles)
-	r.Register("debug.GCStats.PauseTotal", debugMetrics.GCStats.PauseTotal)
-	r.Register("debug.ReadGCStats", debugMetrics.ReadGCStats)
-}
-
-// Allocate an initial slice for gcStats.Pause to avoid allocations during
-// normal operation.
-func init() {
-	gcStats.Pause = make([]time.Duration, 11)
-}

third_party/github.com/rcrowley/go-metrics/debug_test.go

@@ -1,48 +0,0 @@
-package metrics
-
-import (
-	"runtime"
-	"runtime/debug"
-	"testing"
-	"time"
-)
-
-func BenchmarkDebugGCStats(b *testing.B) {
-	r := NewRegistry()
-	RegisterDebugGCStats(r)
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		CaptureDebugGCStatsOnce(r)
-	}
-}
-
-func TestDebugGCStatsBlocking(t *testing.T) {
-	if g := runtime.GOMAXPROCS(0); g < 2 {
-		t.Skipf("skipping TestDebugGCMemStatsBlocking with GOMAXPROCS=%d\n", g)
-		return
-	}
-	ch := make(chan int)
-	go testDebugGCStatsBlocking(ch)
-	var gcStats debug.GCStats
-	t0 := time.Now()
-	debug.ReadGCStats(&gcStats)
-	t1 := time.Now()
-	t.Log("i++ during debug.ReadGCStats:", <-ch)
-	go testDebugGCStatsBlocking(ch)
-	d := t1.Sub(t0)
-	t.Log(d)
-	time.Sleep(d)
-	t.Log("i++ during time.Sleep:", <-ch)
-}
-
-func testDebugGCStatsBlocking(ch chan int) {
-	i := 0
-	for {
-		select {
-		case ch <- i:
-			return
-		default:
-			i++
-		}
-	}
-}

third_party/github.com/rcrowley/go-metrics/ewma.go

@@ -1,118 +0,0 @@
-package metrics
-
-import (
-	"math"
-	"sync"
-	"sync/atomic"
-)
-
-// EWMAs continuously calculate an exponentially-weighted moving average
-// based on an outside source of clock ticks.
-type EWMA interface {
-	Rate() float64
-	Snapshot() EWMA
-	Tick()
-	Update(int64)
-}
-
-// NewEWMA constructs a new EWMA with the given alpha.
-func NewEWMA(alpha float64) EWMA {
-	if UseNilMetrics {
-		return NilEWMA{}
-	}
-	return &StandardEWMA{alpha: alpha}
-}
-
-// NewEWMA1 constructs a new EWMA for a one-minute moving average.
-func NewEWMA1() EWMA {
-	return NewEWMA(1 - math.Exp(-5.0/60.0/1))
-}
-
-// NewEWMA5 constructs a new EWMA for a five-minute moving average.
-func NewEWMA5() EWMA {
-	return NewEWMA(1 - math.Exp(-5.0/60.0/5))
-}
-
-// NewEWMA15 constructs a new EWMA for a fifteen-minute moving average.
-func NewEWMA15() EWMA {
-	return NewEWMA(1 - math.Exp(-5.0/60.0/15))
-}
-
-// EWMASnapshot is a read-only copy of another EWMA.
-type EWMASnapshot float64
-
-// Rate returns the rate of events per second at the time the snapshot was
-// taken.
-func (a EWMASnapshot) Rate() float64 { return float64(a) }
-
-// Snapshot returns the snapshot.
-func (a EWMASnapshot) Snapshot() EWMA { return a }
-
-// Tick panics.
-func (EWMASnapshot) Tick() {
-	panic("Tick called on an EWMASnapshot")
-}
-
-// Update panics.
-func (EWMASnapshot) Update(int64) {
-	panic("Update called on an EWMASnapshot")
-}
-
-// NilEWMA is a no-op EWMA.
-type NilEWMA struct{}
-
-// Rate is a no-op.
-func (NilEWMA) Rate() float64 { return 0.0 }
-
-// Snapshot is a no-op.
-func (NilEWMA) Snapshot() EWMA { return NilEWMA{} }
-
-// Tick is a no-op.
-func (NilEWMA) Tick() {}
-
-// Update is a no-op.
-func (NilEWMA) Update(n int64) {}
-
-// StandardEWMA is the standard implementation of an EWMA and tracks the number
-// of uncounted events and processes them on each tick.  It uses the
-// sync/atomic package to manage uncounted events.
-type StandardEWMA struct {
-	alpha     float64
-	init      bool
-	mutex     sync.Mutex
-	rate      float64
-	uncounted int64
-}
-
-// Rate returns the moving average rate of events per second.
-func (a *StandardEWMA) Rate() float64 {
-	a.mutex.Lock()
-	defer a.mutex.Unlock()
-	return a.rate * float64(1e9)
-}
-
-// Snapshot returns a read-only copy of the EWMA.
-func (a *StandardEWMA) Snapshot() EWMA {
-	return EWMASnapshot(a.Rate())
-}
-
-// Tick ticks the clock to update the moving average.  It assumes it is called
-// every five seconds.
-func (a *StandardEWMA) Tick() {
-	count := atomic.LoadInt64(&a.uncounted)
-	atomic.AddInt64(&a.uncounted, -count)
-	instantRate := float64(count) / float64(5e9)
-	a.mutex.Lock()
-	defer a.mutex.Unlock()
-	if a.init {
-		a.rate += a.alpha * (instantRate - a.rate)
-	} else {
-		a.init = true
-		a.rate = instantRate
-	}
-}
-
-// Update adds n uncounted events.
-func (a *StandardEWMA) Update(n int64) {
-	atomic.AddInt64(&a.uncounted, n)
-}

third_party/github.com/rcrowley/go-metrics/ewma_test.go

@@ -1,225 +0,0 @@
-package metrics
-
-import "testing"
-
-func BenchmarkEWMA(b *testing.B) {
-	a := NewEWMA1()
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		a.Update(1)
-		a.Tick()
-	}
-}
-
-func TestEWMA1(t *testing.T) {
-	a := NewEWMA1()
-	a.Update(3)
-	a.Tick()
-	if rate := a.Rate(); 0.6 != rate {
-		t.Errorf("initial a.Rate(): 0.6 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.22072766470286553 != rate {
-		t.Errorf("1 minute a.Rate(): 0.22072766470286553 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.08120116994196772 != rate {
-		t.Errorf("2 minute a.Rate(): 0.08120116994196772 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.029872241020718428 != rate {
-		t.Errorf("3 minute a.Rate(): 0.029872241020718428 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.01098938333324054 != rate {
-		t.Errorf("4 minute a.Rate(): 0.01098938333324054 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.004042768199451294 != rate {
-		t.Errorf("5 minute a.Rate(): 0.004042768199451294 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.0014872513059998212 != rate {
-		t.Errorf("6 minute a.Rate(): 0.0014872513059998212 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.0005471291793327122 != rate {
-		t.Errorf("7 minute a.Rate(): 0.0005471291793327122 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.00020127757674150815 != rate {
-		t.Errorf("8 minute a.Rate(): 0.00020127757674150815 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 7.404588245200814e-05 != rate {
-		t.Errorf("9 minute a.Rate(): 7.404588245200814e-05 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 2.7239957857491083e-05 != rate {
-		t.Errorf("10 minute a.Rate(): 2.7239957857491083e-05 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 1.0021020474147462e-05 != rate {
-		t.Errorf("11 minute a.Rate(): 1.0021020474147462e-05 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 3.6865274119969525e-06 != rate {
-		t.Errorf("12 minute a.Rate(): 3.6865274119969525e-06 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 1.3561976441886433e-06 != rate {
-		t.Errorf("13 minute a.Rate(): 1.3561976441886433e-06 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 4.989172314621449e-07 != rate {
-		t.Errorf("14 minute a.Rate(): 4.989172314621449e-07 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 1.8354139230109722e-07 != rate {
-		t.Errorf("15 minute a.Rate(): 1.8354139230109722e-07 != %v\n", rate)
-	}
-}
-
-func TestEWMA5(t *testing.T) {
-	a := NewEWMA5()
-	a.Update(3)
-	a.Tick()
-	if rate := a.Rate(); 0.6 != rate {
-		t.Errorf("initial a.Rate(): 0.6 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.49123845184678905 != rate {
-		t.Errorf("1 minute a.Rate(): 0.49123845184678905 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.4021920276213837 != rate {
-		t.Errorf("2 minute a.Rate(): 0.4021920276213837 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.32928698165641596 != rate {
-		t.Errorf("3 minute a.Rate(): 0.32928698165641596 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.269597378470333 != rate {
-		t.Errorf("4 minute a.Rate(): 0.269597378470333 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.2207276647028654 != rate {
-		t.Errorf("5 minute a.Rate(): 0.2207276647028654 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.18071652714732128 != rate {
-		t.Errorf("6 minute a.Rate(): 0.18071652714732128 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.14795817836496392 != rate {
-		t.Errorf("7 minute a.Rate(): 0.14795817836496392 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.12113791079679326 != rate {
-		t.Errorf("8 minute a.Rate(): 0.12113791079679326 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.09917933293295193 != rate {
-		t.Errorf("9 minute a.Rate(): 0.09917933293295193 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.08120116994196763 != rate {
-		t.Errorf("10 minute a.Rate(): 0.08120116994196763 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.06648189501740036 != rate {
-		t.Errorf("11 minute a.Rate(): 0.06648189501740036 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.05443077197364752 != rate {
-		t.Errorf("12 minute a.Rate(): 0.05443077197364752 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.04456414692860035 != rate {
-		t.Errorf("13 minute a.Rate(): 0.04456414692860035 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.03648603757513079 != rate {
-		t.Errorf("14 minute a.Rate(): 0.03648603757513079 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.0298722410207183831020718428 != rate {
-		t.Errorf("15 minute a.Rate(): 0.0298722410207183831020718428 != %v\n", rate)
-	}
-}
-
-func TestEWMA15(t *testing.T) {
-	a := NewEWMA15()
-	a.Update(3)
-	a.Tick()
-	if rate := a.Rate(); 0.6 != rate {
-		t.Errorf("initial a.Rate(): 0.6 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.5613041910189706 != rate {
-		t.Errorf("1 minute a.Rate(): 0.5613041910189706 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.5251039914257684 != rate {
-		t.Errorf("2 minute a.Rate(): 0.5251039914257684 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.4912384518467888184678905 != rate {
-		t.Errorf("3 minute a.Rate(): 0.4912384518467888184678905 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.459557003018789 != rate {
-		t.Errorf("4 minute a.Rate(): 0.459557003018789 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.4299187863442732 != rate {
-		t.Errorf("5 minute a.Rate(): 0.4299187863442732 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.4021920276213831 != rate {
-		t.Errorf("6 minute a.Rate(): 0.4021920276213831 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.37625345116383313 != rate {
-		t.Errorf("7 minute a.Rate(): 0.37625345116383313 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.3519877317060185 != rate {
-		t.Errorf("8 minute a.Rate(): 0.3519877317060185 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.3292869816564153165641596 != rate {
-		t.Errorf("9 minute a.Rate(): 0.3292869816564153165641596 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.3080502714195546 != rate {
-		t.Errorf("10 minute a.Rate(): 0.3080502714195546 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.2881831806538789 != rate {
-		t.Errorf("11 minute a.Rate(): 0.2881831806538789 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.26959737847033216 != rate {
-		t.Errorf("12 minute a.Rate(): 0.26959737847033216 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.2522102307052083 != rate {
-		t.Errorf("13 minute a.Rate(): 0.2522102307052083 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.23594443252115815 != rate {
-		t.Errorf("14 minute a.Rate(): 0.23594443252115815 != %v\n", rate)
-	}
-	elapseMinute(a)
-	if rate := a.Rate(); 0.2207276647028646247028654470286553 != rate {
-		t.Errorf("15 minute a.Rate(): 0.2207276647028646247028654470286553 != %v\n", rate)
-	}
-}
-
-func elapseMinute(a EWMA) {
-	for i := 0; i < 12; i++ {
-		a.Tick()
-	}
-}

third_party/github.com/rcrowley/go-metrics/gauge.go

@@ -1,84 +0,0 @@
-package metrics
-
-import "sync/atomic"
-
-// Gauges hold an int64 value that can be set arbitrarily.
-type Gauge interface {
-	Snapshot() Gauge
-	Update(int64)
-	Value() int64
-}
-
-// GetOrRegisterGauge returns an existing Gauge or constructs and registers a
-// new StandardGauge.
-func GetOrRegisterGauge(name string, r Registry) Gauge {
-	if nil == r {
-		r = DefaultRegistry
-	}
-	return r.GetOrRegister(name, NewGauge()).(Gauge)
-}
-
-// NewGauge constructs a new StandardGauge.
-func NewGauge() Gauge {
-	if UseNilMetrics {
-		return NilGauge{}
-	}
-	return &StandardGauge{0}
-}
-
-// NewRegisteredGauge constructs and registers a new StandardGauge.
-func NewRegisteredGauge(name string, r Registry) Gauge {
-	c := NewGauge()
-	if nil == r {
-		r = DefaultRegistry
-	}
-	r.Register(name, c)
-	return c
-}
-
-// GaugeSnapshot is a read-only copy of another Gauge.
-type GaugeSnapshot int64
-
-// Snapshot returns the snapshot.
-func (g GaugeSnapshot) Snapshot() Gauge { return g }
-
-// Update panics.
-func (GaugeSnapshot) Update(int64) {
-	panic("Update called on a GaugeSnapshot")
-}
-
-// Value returns the value at the time the snapshot was taken.
-func (g GaugeSnapshot) Value() int64 { return int64(g) }
-
-// NilGauge is a no-op Gauge.
-type NilGauge struct{}
-
-// Snapshot is a no-op.
-func (NilGauge) Snapshot() Gauge { return NilGauge{} }
-
-// Update is a no-op.
-func (NilGauge) Update(v int64) {}
-
-// Value is a no-op.
-func (NilGauge) Value() int64 { return 0 }
-
-// StandardGauge is the standard implementation of a Gauge and uses the
-// sync/atomic package to manage a single int64 value.
-type StandardGauge struct {
-	value int64
-}
-
-// Snapshot returns a read-only copy of the gauge.
-func (g *StandardGauge) Snapshot() Gauge {
-	return GaugeSnapshot(g.Value())
-}
-
-// Update updates the gauge's value.
-func (g *StandardGauge) Update(v int64) {
-	atomic.StoreInt64(&g.value, v)
-}
-
-// Value returns the gauge's current value.
-func (g *StandardGauge) Value() int64 {
-	return atomic.LoadInt64(&g.value)
-}

third_party/github.com/rcrowley/go-metrics/gauge_test.go

@@ -1,37 +0,0 @@
-package metrics
-
-import "testing"
-
-func BenchmarkGuage(b *testing.B) {
-	g := NewGauge()
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		g.Update(int64(i))
-	}
-}
-
-func TestGauge(t *testing.T) {
-	g := NewGauge()
-	g.Update(int64(47))
-	if v := g.Value(); 47 != v {
-		t.Errorf("g.Value(): 47 != %v\n", v)
-	}
-}
-
-func TestGaugeSnapshot(t *testing.T) {
-	g := NewGauge()
-	g.Update(int64(47))
-	snapshot := g.Snapshot()
-	g.Update(int64(0))
-	if v := snapshot.Value(); 47 != v {
-		t.Errorf("g.Value(): 47 != %v\n", v)
-	}
-}
-
-func TestGetOrRegisterGauge(t *testing.T) {
-	r := NewRegistry()
-	NewRegisteredGauge("foo", r).Update(47)
-	if g := GetOrRegisterGauge("foo", r); 47 != g.Value() {
-		t.Fatal(g)
-	}
-}

third_party/github.com/rcrowley/go-metrics/graphite.go

@@ -1,100 +0,0 @@
-package metrics
-
-import (
-	"bufio"
-	"fmt"
-	"log"
-	"net"
-	"time"
-)
-
-// GraphiteConfig provides a container with configuration parameters for
-// the Graphite exporter
-type GraphiteConfig struct {
-	Addr          *net.TCPAddr  // Network address to connect to
-	Registry      Registry      // Registry to be exported
-	FlushInterval time.Duration // Flush interval
-	DurationUnit  time.Duration // Time conversion unit for durations
-	Prefix        string        // Prefix to be prepended to metric names
-}
-
-// Graphite is a blocking exporter function which reports metrics in r
-// to a graphite server located at addr, flushing them every d duration
-// and prepending metric names with prefix.
-func Graphite(r Registry, d time.Duration, prefix string, addr *net.TCPAddr) {
-	GraphiteWithConfig(GraphiteConfig{
-		Addr:          addr,
-		Registry:      r,
-		FlushInterval: d,
-		DurationUnit:  time.Nanosecond,
-		Prefix:        prefix,
-	})
-}
-
-// GraphiteWithConfig is a blocking exporter function just like Graphite,
-// but it takes a GraphiteConfig instead.
-func GraphiteWithConfig(c GraphiteConfig) {
-	for _ = range time.Tick(c.FlushInterval) {
-		if err := graphite(&c); nil != err {
-			log.Println(err)
-		}
-	}
-}
-
-func graphite(c *GraphiteConfig) error {
-	now := time.Now().Unix()
-	du := float64(c.DurationUnit)
-	conn, err := net.DialTCP("tcp", nil, c.Addr)
-	if nil != err {
-		return err
-	}
-	defer conn.Close()
-	w := bufio.NewWriter(conn)
-	c.Registry.Each(func(name string, i interface{}) {
-		switch metric := i.(type) {
-		case Counter:
-			fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, metric.Count(), now)
-		case Gauge:
-			fmt.Fprintf(w, "%s.%s.value %d %d\n", c.Prefix, name, metric.Value(), now)
-		case Histogram:
-			h := metric.Snapshot()
-			ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-			fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, h.Count(), now)
-			fmt.Fprintf(w, "%s.%s.min %d %d\n", c.Prefix, name, h.Min(), now)
-			fmt.Fprintf(w, "%s.%s.max %d %d\n", c.Prefix, name, h.Max(), now)
-			fmt.Fprintf(w, "%s.%s.mean %.2f %d\n", c.Prefix, name, h.Mean(), now)
-			fmt.Fprintf(w, "%s.%s.std-dev %.2f %d\n", c.Prefix, name, h.StdDev(), now)
-			fmt.Fprintf(w, "%s.%s.50-percentile %.2f %d\n", c.Prefix, name, ps[0], now)
-			fmt.Fprintf(w, "%s.%s.75-percentile %.2f %d\n", c.Prefix, name, ps[1], now)
-			fmt.Fprintf(w, "%s.%s.95-percentile %.2f %d\n", c.Prefix, name, ps[2], now)
-			fmt.Fprintf(w, "%s.%s.99-percentile %.2f %d\n", c.Prefix, name, ps[3], now)
-			fmt.Fprintf(w, "%s.%s.999-percentile %.2f %d\n", c.Prefix, name, ps[4], now)
-		case Meter:
-			m := metric.Snapshot()
-			fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, m.Count(), now)
-			fmt.Fprintf(w, "%s.%s.one-minute %.2f %d\n", c.Prefix, name, m.Rate1(), now)
-			fmt.Fprintf(w, "%s.%s.five-minute %.2f %d\n", c.Prefix, name, m.Rate5(), now)
-			fmt.Fprintf(w, "%s.%s.fifteen-minute %.2f %d\n", c.Prefix, name, m.Rate15(), now)
-			fmt.Fprintf(w, "%s.%s.mean %.2f %d\n", c.Prefix, name, m.RateMean(), now)
-		case Timer:
-			t := metric.Snapshot()
-			ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-			fmt.Fprintf(w, "%s.%s.count %d %d\n", c.Prefix, name, t.Count(), now)
-			fmt.Fprintf(w, "%s.%s.min %d %d\n", c.Prefix, name, int64(du)*t.Min(), now)
-			fmt.Fprintf(w, "%s.%s.max %d %d\n", c.Prefix, name, int64(du)*t.Max(), now)
-			fmt.Fprintf(w, "%s.%s.mean %.2f %d\n", c.Prefix, name, du*t.Mean(), now)
-			fmt.Fprintf(w, "%s.%s.std-dev %.2f %d\n", c.Prefix, name, du*t.StdDev(), now)
-			fmt.Fprintf(w, "%s.%s.50-percentile %.2f %d\n", c.Prefix, name, du*ps[0], now)
-			fmt.Fprintf(w, "%s.%s.75-percentile %.2f %d\n", c.Prefix, name, du*ps[1], now)
-			fmt.Fprintf(w, "%s.%s.95-percentile %.2f %d\n", c.Prefix, name, du*ps[2], now)
-			fmt.Fprintf(w, "%s.%s.99-percentile %.2f %d\n", c.Prefix, name, du*ps[3], now)
-			fmt.Fprintf(w, "%s.%s.999-percentile %.2f %d\n", c.Prefix, name, du*ps[4], now)
-			fmt.Fprintf(w, "%s.%s.one-minute %.2f %d\n", c.Prefix, name, t.Rate1(), now)
-			fmt.Fprintf(w, "%s.%s.five-minute %.2f %d\n", c.Prefix, name, t.Rate5(), now)
-			fmt.Fprintf(w, "%s.%s.fifteen-minute %.2f %d\n", c.Prefix, name, t.Rate15(), now)
-			fmt.Fprintf(w, "%s.%s.mean-rate %.2f %d\n", c.Prefix, name, t.RateMean(), now)
-		}
-		w.Flush()
-	})
-	return nil
-}

third_party/github.com/rcrowley/go-metrics/graphite_test.go

@@ -1,21 +0,0 @@
-package metrics
-
-import (
-	"net"
-	"time"
-)
-
-func ExampleGraphite() {
-	addr, _ := net.ResolveTCPAddr("net", ":2003")
-	go Graphite(DefaultRegistry, 1*time.Second, "some.prefix", addr)
-}
-
-func ExampleGraphiteWithConfig() {
-	addr, _ := net.ResolveTCPAddr("net", ":2003")
-	go GraphiteWithConfig(GraphiteConfig{
-		Addr:          addr,
-		Registry:      DefaultRegistry,
-		FlushInterval: 1 * time.Second,
-		DurationUnit:  time.Millisecond,
-	})
-}

third_party/github.com/rcrowley/go-metrics/healthcheck.go

@@ -1,61 +0,0 @@
-package metrics
-
-// Healthchecks hold an error value describing an arbitrary up/down status.
-type Healthcheck interface {
-	Check()
-	Error() error
-	Healthy()
-	Unhealthy(error)
-}
-
-// NewHealthcheck constructs a new Healthcheck which will use the given
-// function to update its status.
-func NewHealthcheck(f func(Healthcheck)) Healthcheck {
-	if UseNilMetrics {
-		return NilHealthcheck{}
-	}
-	return &StandardHealthcheck{nil, f}
-}
-
-// NilHealthcheck is a no-op.
-type NilHealthcheck struct{}
-
-// Check is a no-op.
-func (NilHealthcheck) Check() {}
-
-// Error is a no-op.
-func (NilHealthcheck) Error() error { return nil }
-
-// Healthy is a no-op.
-func (NilHealthcheck) Healthy() {}
-
-// Unhealthy is a no-op.
-func (NilHealthcheck) Unhealthy(error) {}
-
-// StandardHealthcheck is the standard implementation of a Healthcheck and
-// stores the status and a function to call to update the status.
-type StandardHealthcheck struct {
-	err error
-	f   func(Healthcheck)
-}
-
-// Check runs the healthcheck function to update the healthcheck's status.
-func (h *StandardHealthcheck) Check() {
-	h.f(h)
-}
-
-// Error returns the healthcheck's status, which will be nil if it is healthy.
-func (h *StandardHealthcheck) Error() error {
-	return h.err
-}
-
-// Healthy marks the healthcheck as healthy.
-func (h *StandardHealthcheck) Healthy() {
-	h.err = nil
-}
-
-// Unhealthy marks the healthcheck as unhealthy.  The error is stored and
-// may be retrieved by the Error method.
-func (h *StandardHealthcheck) Unhealthy(err error) {
-	h.err = err
-}

third_party/github.com/rcrowley/go-metrics/histogram.go

@@ -1,192 +0,0 @@
-package metrics
-
-// Histograms calculate distribution statistics from a series of int64 values.
-type Histogram interface {
-	Clear()
-	Count() int64
-	Max() int64
-	Mean() float64
-	Min() int64
-	Percentile(float64) float64
-	Percentiles([]float64) []float64
-	Sample() Sample
-	Snapshot() Histogram
-	StdDev() float64
-	Update(int64)
-	Variance() float64
-}
-
-// GetOrRegisterHistogram returns an existing Histogram or constructs and
-// registers a new StandardHistogram.
-func GetOrRegisterHistogram(name string, r Registry, s Sample) Histogram {
-	if nil == r {
-		r = DefaultRegistry
-	}
-	return r.GetOrRegister(name, NewHistogram(s)).(Histogram)
-}
-
-// NewHistogram constructs a new StandardHistogram from a Sample.
-func NewHistogram(s Sample) Histogram {
-	if UseNilMetrics {
-		return NilHistogram{}
-	}
-	return &StandardHistogram{sample: s}
-}
-
-// NewRegisteredHistogram constructs and registers a new StandardHistogram from
-// a Sample.
-func NewRegisteredHistogram(name string, r Registry, s Sample) Histogram {
-	c := NewHistogram(s)
-	if nil == r {
-		r = DefaultRegistry
-	}
-	r.Register(name, c)
-	return c
-}
-
-// HistogramSnapshot is a read-only copy of another Histogram.
-type HistogramSnapshot struct {
-	sample *SampleSnapshot
-}
-
-// Clear panics.
-func (*HistogramSnapshot) Clear() {
-	panic("Clear called on a HistogramSnapshot")
-}
-
-// Count returns the number of samples recorded at the time the snapshot was
-// taken.
-func (h *HistogramSnapshot) Count() int64 { return h.sample.Count() }
-
-// Max returns the maximum value in the sample at the time the snapshot was
-// taken.
-func (h *HistogramSnapshot) Max() int64 { return h.sample.Max() }
-
-// Mean returns the mean of the values in the sample at the time the snapshot
-// was taken.
-func (h *HistogramSnapshot) Mean() float64 { return h.sample.Mean() }
-
-// Min returns the minimum value in the sample at the time the snapshot was
-// taken.
-func (h *HistogramSnapshot) Min() int64 { return h.sample.Min() }
-
-// Percentile returns an arbitrary percentile of values in the sample at the
-// time the snapshot was taken.
-func (h *HistogramSnapshot) Percentile(p float64) float64 {
-	return h.sample.Percentile(p)
-}
-
-// Percentiles returns a slice of arbitrary percentiles of values in the sample
-// at the time the snapshot was taken.
-func (h *HistogramSnapshot) Percentiles(ps []float64) []float64 {
-	return h.sample.Percentiles(ps)
-}
-
-// Sample returns the Sample underlying the histogram.
-func (h *HistogramSnapshot) Sample() Sample { return h.sample }
-
-// Snapshot returns the snapshot.
-func (h *HistogramSnapshot) Snapshot() Histogram { return h }
-
-// StdDev returns the standard deviation of the values in the sample at the
-// time the snapshot was taken.
-func (h *HistogramSnapshot) StdDev() float64 { return h.sample.StdDev() }
-
-// Update panics.
-func (*HistogramSnapshot) Update(int64) {
-	panic("Update called on a HistogramSnapshot")
-}
-
-// Variance returns the variance of inputs at the time the snapshot was taken.
-func (h *HistogramSnapshot) Variance() float64 { return h.sample.Variance() }
-
-// NilHistogram is a no-op Histogram.
-type NilHistogram struct{}
-
-// Clear is a no-op.
-func (NilHistogram) Clear() {}
-
-// Count is a no-op.
-func (NilHistogram) Count() int64 { return 0 }
-
-// Max is a no-op.
-func (NilHistogram) Max() int64 { return 0 }
-
-// Mean is a no-op.
-func (NilHistogram) Mean() float64 { return 0.0 }
-
-// Min is a no-op.
-func (NilHistogram) Min() int64 { return 0 }
-
-// Percentile is a no-op.
-func (NilHistogram) Percentile(p float64) float64 { return 0.0 }
-
-// Percentiles is a no-op.
-func (NilHistogram) Percentiles(ps []float64) []float64 {
-	return make([]float64, len(ps))
-}
-
-// Sample is a no-op.
-func (NilHistogram) Sample() Sample { return NilSample{} }
-
-// Snapshot is a no-op.
-func (NilHistogram) Snapshot() Histogram { return NilHistogram{} }
-
-// StdDev is a no-op.
-func (NilHistogram) StdDev() float64 { return 0.0 }
-
-// Update is a no-op.
-func (NilHistogram) Update(v int64) {}
-
-// Variance is a no-op.
-func (NilHistogram) Variance() float64 { return 0.0 }
-
-// StandardHistogram is the standard implementation of a Histogram and uses a
-// Sample to bound its memory use.
-type StandardHistogram struct {
-	sample Sample
-}
-
-// Clear clears the histogram and its sample.
-func (h *StandardHistogram) Clear() { h.sample.Clear() }
-
-// Count returns the number of samples recorded since the histogram was last
-// cleared.
-func (h *StandardHistogram) Count() int64 { return h.sample.Count() }
-
-// Max returns the maximum value in the sample.
-func (h *StandardHistogram) Max() int64 { return h.sample.Max() }
-
-// Mean returns the mean of the values in the sample.
-func (h *StandardHistogram) Mean() float64 { return h.sample.Mean() }
-
-// Min returns the minimum value in the sample.
-func (h *StandardHistogram) Min() int64 { return h.sample.Min() }
-
-// Percentile returns an arbitrary percentile of the values in the sample.
-func (h *StandardHistogram) Percentile(p float64) float64 {
-	return h.sample.Percentile(p)
-}
-
-// Percentiles returns a slice of arbitrary percentiles of the values in the
-// sample.
-func (h *StandardHistogram) Percentiles(ps []float64) []float64 {
-	return h.sample.Percentiles(ps)
-}
-
-// Sample returns the Sample underlying the histogram.
-func (h *StandardHistogram) Sample() Sample { return h.sample }
-
-// Snapshot returns a read-only copy of the histogram.
-func (h *StandardHistogram) Snapshot() Histogram {
-	return &HistogramSnapshot{sample: h.sample.Snapshot().(*SampleSnapshot)}
-}
-
-// StdDev returns the standard deviation of the values in the sample.
-func (h *StandardHistogram) StdDev() float64 { return h.sample.StdDev() }
-
-// Update samples a new value.
-func (h *StandardHistogram) Update(v int64) { h.sample.Update(v) }
-
-// Variance returns the variance of the values in the sample.
-func (h *StandardHistogram) Variance() float64 { return h.sample.Variance() }

third_party/github.com/rcrowley/go-metrics/histogram_test.go

@@ -1,95 +0,0 @@
-package metrics
-
-import "testing"
-
-func BenchmarkHistogram(b *testing.B) {
-	h := NewHistogram(NewUniformSample(100))
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		h.Update(int64(i))
-	}
-}
-
-func TestGetOrRegisterHistogram(t *testing.T) {
-	r := NewRegistry()
-	s := NewUniformSample(100)
-	NewRegisteredHistogram("foo", r, s).Update(47)
-	if h := GetOrRegisterHistogram("foo", r, s); 1 != h.Count() {
-		t.Fatal(h)
-	}
-}
-
-func TestHistogram10000(t *testing.T) {
-	h := NewHistogram(NewUniformSample(100000))
-	for i := 1; i <= 10000; i++ {
-		h.Update(int64(i))
-	}
-	testHistogram10000(t, h)
-}
-
-func TestHistogramEmpty(t *testing.T) {
-	h := NewHistogram(NewUniformSample(100))
-	if count := h.Count(); 0 != count {
-		t.Errorf("h.Count(): 0 != %v\n", count)
-	}
-	if min := h.Min(); 0 != min {
-		t.Errorf("h.Min(): 0 != %v\n", min)
-	}
-	if max := h.Max(); 0 != max {
-		t.Errorf("h.Max(): 0 != %v\n", max)
-	}
-	if mean := h.Mean(); 0.0 != mean {
-		t.Errorf("h.Mean(): 0.0 != %v\n", mean)
-	}
-	if stdDev := h.StdDev(); 0.0 != stdDev {
-		t.Errorf("h.StdDev(): 0.0 != %v\n", stdDev)
-	}
-	ps := h.Percentiles([]float64{0.5, 0.75, 0.99})
-	if 0.0 != ps[0] {
-		t.Errorf("median: 0.0 != %v\n", ps[0])
-	}
-	if 0.0 != ps[1] {
-		t.Errorf("75th percentile: 0.0 != %v\n", ps[1])
-	}
-	if 0.0 != ps[2] {
-		t.Errorf("99th percentile: 0.0 != %v\n", ps[2])
-	}
-}
-
-func TestHistogramSnapshot(t *testing.T) {
-	h := NewHistogram(NewUniformSample(100000))
-	for i := 1; i <= 10000; i++ {
-		h.Update(int64(i))
-	}
-	snapshot := h.Snapshot()
-	h.Update(0)
-	testHistogram10000(t, snapshot)
-}
-
-func testHistogram10000(t *testing.T, h Histogram) {
-	if count := h.Count(); 10000 != count {
-		t.Errorf("h.Count(): 10000 != %v\n", count)
-	}
-	if min := h.Min(); 1 != min {
-		t.Errorf("h.Min(): 1 != %v\n", min)
-	}
-	if max := h.Max(); 10000 != max {
-		t.Errorf("h.Max(): 10000 != %v\n", max)
-	}
-	if mean := h.Mean(); 5000.5 != mean {
-		t.Errorf("h.Mean(): 5000.5 != %v\n", mean)
-	}
-	if stdDev := h.StdDev(); 2886.751331514372 != stdDev {
-		t.Errorf("h.StdDev(): 2886.751331514372 != %v\n", stdDev)
-	}
-	ps := h.Percentiles([]float64{0.5, 0.75, 0.99})
-	if 5000.5 != ps[0] {
-		t.Errorf("median: 5000.5 != %v\n", ps[0])
-	}
-	if 7500.75 != ps[1] {
-		t.Errorf("75th percentile: 7500.75 != %v\n", ps[1])
-	}
-	if 9900.99 != ps[2] {
-		t.Errorf("99th percentile: 9900.99 != %v\n", ps[2])
-	}
-}

third_party/github.com/rcrowley/go-metrics/json.go

@@ -1,60 +0,0 @@
-package metrics
-
-import "encoding/json"
-
-// MarshalJSON returns a byte slice containing a JSON representation of all
-// the metrics in the Registry.
-func (r StandardRegistry) MarshalJSON() ([]byte, error) {
-	data := make(map[string]map[string]interface{})
-	r.Each(func(name string, i interface{}) {
-		values := make(map[string]interface{})
-		switch metric := i.(type) {
-		case Counter:
-			values["count"] = metric.Count()
-		case Gauge:
-			values["value"] = metric.Value()
-		case Healthcheck:
-			metric.Check()
-			values["error"] = metric.Error().Error()
-		case Histogram:
-			h := metric.Snapshot()
-			ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-			values["count"] = h.Count()
-			values["min"] = h.Min()
-			values["max"] = h.Max()
-			values["mean"] = h.Mean()
-			values["stddev"] = h.StdDev()
-			values["median"] = ps[0]
-			values["75%"] = ps[1]
-			values["95%"] = ps[2]
-			values["99%"] = ps[3]
-			values["99.9%"] = ps[4]
-		case Meter:
-			m := metric.Snapshot()
-			values["count"] = m.Count()
-			values["1m.rate"] = m.Rate1()
-			values["5m.rate"] = m.Rate5()
-			values["15m.rate"] = m.Rate15()
-			values["mean.rate"] = m.RateMean()
-		case Timer:
-			t := metric.Snapshot()
-			ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-			values["count"] = t.Count()
-			values["min"] = t.Min()
-			values["max"] = t.Max()
-			values["mean"] = t.Mean()
-			values["stddev"] = t.StdDev()
-			values["median"] = ps[0]
-			values["75%"] = ps[1]
-			values["95%"] = ps[2]
-			values["99%"] = ps[3]
-			values["99.9%"] = ps[4]
-			values["1m.rate"] = t.Rate1()
-			values["5m.rate"] = t.Rate5()
-			values["15m.rate"] = t.Rate15()
-			values["mean.rate"] = t.RateMean()
-		}
-		data[name] = values
-	})
-	return json.Marshal(data)
-}

third_party/github.com/rcrowley/go-metrics/librato/client.go

@@ -1,103 +0,0 @@
-package librato
-
-import (
-	"bytes"
-	"encoding/json"
-	"fmt"
-	"io/ioutil"
-	"net/http"
-)
-
-const Operations = "operations"
-const OperationsShort = "ops"
-
-type LibratoClient struct {
-	Email, Token string
-}
-
-// property strings
-const (
-	// display attributes
-	Color             = "color"
-	DisplayMax        = "display_max"
-	DisplayMin        = "display_min"
-	DisplayUnitsLong  = "display_units_long"
-	DisplayUnitsShort = "display_units_short"
-	DisplayStacked    = "display_stacked"
-	DisplayTransform  = "display_transform"
-	// special gauge display attributes
-	SummarizeFunction = "summarize_function"
-	Aggregate         = "aggregate"
-
-	// metric keys
-	Name        = "name"
-	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
-		var err error
-		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
-}

third_party/github.com/rcrowley/go-metrics/librato/librato.go

@@ -1,220 +0,0 @@
-package librato
-
-import (
-	"fmt"
-	"github.com/coreos/etcd/third_party/github.com/rcrowley/go-metrics"
-	"log"
-	"math"
-	"regexp"
-	"time"
-)
-
-// 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
-	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
-}
-
-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)}
-}
-
-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() {
-	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)
-		}
-		if err := metricsApi.PostMetrics(metrics); err != nil {
-			log.Printf("ERROR sending metrics to librato %s", err)
-		}
-	}
-}
-
-// 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{
-		MeasureTime:	now.Unix(),
-		Source:		self.Source,
-	}
-	snapshot.MeasureTime = now.Unix()
-	snapshot.Gauges = make([]Measurement, 0)
-	snapshot.Counters = make([]Measurement, 0)
-	histogramGaugeCount := 1 + len(self.Percentiles)
-	r.Each(func(name string, metric interface{}) {
-		measurement := Measurement{}
-		measurement[Period] = self.Interval.Seconds()
-		switch m := metric.(type) {
-		case metrics.Counter:
-			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.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[Sum] = s.Sum()
-				measurement[Max] = float64(s.Max())
-				measurement[Min] = float64(s.Min())
-				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
-}

third_party/github.com/rcrowley/go-metrics/log.go

@@ -1,68 +0,0 @@
-package metrics
-
-import (
-	"log"
-	"time"
-)
-
-// Output each metric in the given registry periodically using the given
-// logger.
-func Log(r Registry, d time.Duration, l *log.Logger) {
-	for {
-		r.Each(func(name string, i interface{}) {
-			switch metric := i.(type) {
-			case Counter:
-				l.Printf("counter %s\n", name)
-				l.Printf("  count:       %9d\n", metric.Count())
-			case Gauge:
-				l.Printf("gauge %s\n", name)
-				l.Printf("  value:       %9d\n", metric.Value())
-			case Healthcheck:
-				metric.Check()
-				l.Printf("healthcheck %s\n", name)
-				l.Printf("  error:       %v\n", metric.Error())
-			case Histogram:
-				h := metric.Snapshot()
-				ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-				l.Printf("histogram %s\n", name)
-				l.Printf("  count:       %9d\n", h.Count())
-				l.Printf("  min:         %9d\n", h.Min())
-				l.Printf("  max:         %9d\n", h.Max())
-				l.Printf("  mean:        %12.2f\n", h.Mean())
-				l.Printf("  stddev:      %12.2f\n", h.StdDev())
-				l.Printf("  median:      %12.2f\n", ps[0])
-				l.Printf("  75%%:         %12.2f\n", ps[1])
-				l.Printf("  95%%:         %12.2f\n", ps[2])
-				l.Printf("  99%%:         %12.2f\n", ps[3])
-				l.Printf("  99.9%%:       %12.2f\n", ps[4])
-			case Meter:
-				m := metric.Snapshot()
-				l.Printf("meter %s\n", name)
-				l.Printf("  count:       %9d\n", m.Count())
-				l.Printf("  1-min rate:  %12.2f\n", m.Rate1())
-				l.Printf("  5-min rate:  %12.2f\n", m.Rate5())
-				l.Printf("  15-min rate: %12.2f\n", m.Rate15())
-				l.Printf("  mean rate:   %12.2f\n", m.RateMean())
-			case Timer:
-				t := metric.Snapshot()
-				ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-				l.Printf("timer %s\n", name)
-				l.Printf("  count:       %9d\n", t.Count())
-				l.Printf("  min:         %9d\n", t.Min())
-				l.Printf("  max:         %9d\n", t.Max())
-				l.Printf("  mean:        %12.2f\n", t.Mean())
-				l.Printf("  stddev:      %12.2f\n", t.StdDev())
-				l.Printf("  median:      %12.2f\n", ps[0])
-				l.Printf("  75%%:         %12.2f\n", ps[1])
-				l.Printf("  95%%:         %12.2f\n", ps[2])
-				l.Printf("  99%%:         %12.2f\n", ps[3])
-				l.Printf("  99.9%%:       %12.2f\n", ps[4])
-				l.Printf("  1-min rate:  %12.2f\n", t.Rate1())
-				l.Printf("  5-min rate:  %12.2f\n", t.Rate5())
-				l.Printf("  15-min rate: %12.2f\n", t.Rate15())
-				l.Printf("  mean rate:   %12.2f\n", t.RateMean())
-			}
-		})
-		time.Sleep(d)
-	}
-}

third_party/github.com/rcrowley/go-metrics/memory.md

@@ -1,285 +0,0 @@
-Memory usage
-============
-
-(Highly unscientific.)
-
-Command used to gather static memory usage:
-
-```sh
-grep ^Vm "/proc/$(ps fax | grep [m]etrics-bench | awk '{print $1}')/status"
-```
-
-Program used to gather baseline memory usage:
-
-```go
-package main
-
-import "time"
-
-func main() {
-	time.Sleep(600e9)
-}
-```
-
-Baseline
---------
-
-```
-VmPeak:    42604 kB
-VmSize:    42604 kB
-VmLck:         0 kB
-VmHWM:      1120 kB
-VmRSS:      1120 kB
-VmData:    35460 kB
-VmStk:       136 kB
-VmExe:      1020 kB
-VmLib:      1848 kB
-VmPTE:        36 kB
-VmSwap:        0 kB
-```
-
-Program used to gather metric memory usage (with other metrics being similar):
-
-```go
-package main
-
-import (
-	"fmt"
-	"metrics"
-	"time"
-)
-
-func main() {
-	fmt.Sprintf("foo")
-	metrics.NewRegistry()
-	time.Sleep(600e9)
-}
-```
-
-1000 counters registered
-------------------------
-
-```
-VmPeak:    44016 kB
-VmSize:    44016 kB
-VmLck:         0 kB
-VmHWM:      1928 kB
-VmRSS:      1928 kB
-VmData:    36868 kB
-VmStk:       136 kB
-VmExe:      1024 kB
-VmLib:      1848 kB
-VmPTE:        40 kB
-VmSwap:        0 kB
-```
-
-**1.412 kB virtual, TODO 0.808 kB resident per counter.**
-
-100000 counters registered
---------------------------
-
-```
-VmPeak:    55024 kB
-VmSize:    55024 kB
-VmLck:         0 kB
-VmHWM:     12440 kB
-VmRSS:     12440 kB
-VmData:    47876 kB
-VmStk:       136 kB
-VmExe:      1024 kB
-VmLib:      1848 kB
-VmPTE:        64 kB
-VmSwap:        0 kB
-```
-
-**0.1242 kB virtual, 0.1132 kB resident per counter.**
-
-1000 gauges registered
-----------------------
-
-```
-VmPeak:    44012 kB
-VmSize:    44012 kB
-VmLck:         0 kB
-VmHWM:      1928 kB
-VmRSS:      1928 kB
-VmData:    36868 kB
-VmStk:       136 kB
-VmExe:      1020 kB
-VmLib:      1848 kB
-VmPTE:        40 kB
-VmSwap:        0 kB
-```
-
-**1.408 kB virtual, 0.808 kB resident per counter.**
-
-100000 gauges registered
-------------------------
-
-```
-VmPeak:    55020 kB
-VmSize:    55020 kB
-VmLck:         0 kB
-VmHWM:     12432 kB
-VmRSS:     12432 kB
-VmData:    47876 kB
-VmStk:       136 kB
-VmExe:      1020 kB
-VmLib:      1848 kB
-VmPTE:        60 kB
-VmSwap:        0 kB
-```
-
-**0.12416 kB virtual, 0.11312 resident per gauge.**
-
-1000 histograms with a uniform sample size of 1028
---------------------------------------------------
-
-```
-VmPeak:    72272 kB
-VmSize:    72272 kB
-VmLck:         0 kB
-VmHWM:     16204 kB
-VmRSS:     16204 kB
-VmData:    65100 kB
-VmStk:       136 kB
-VmExe:      1048 kB
-VmLib:      1848 kB
-VmPTE:        80 kB
-VmSwap:        0 kB
-```
-
-**29.668 kB virtual, TODO 15.084 resident per histogram.**
-
-10000 histograms with a uniform sample size of 1028
----------------------------------------------------
-
-```
-VmPeak:   256912 kB
-VmSize:   256912 kB
-VmLck:         0 kB
-VmHWM:    146204 kB
-VmRSS:    146204 kB
-VmData:   249740 kB
-VmStk:       136 kB
-VmExe:      1048 kB
-VmLib:      1848 kB
-VmPTE:       448 kB
-VmSwap:        0 kB
-```
-
-**21.4308 kB virtual, 14.5084 kB resident per histogram.**
-
-50000 histograms with a uniform sample size of 1028
----------------------------------------------------
-
-```
-VmPeak:   908112 kB
-VmSize:   908112 kB
-VmLck:         0 kB
-VmHWM:    645832 kB
-VmRSS:    645588 kB
-VmData:   900940 kB
-VmStk:       136 kB
-VmExe:      1048 kB
-VmLib:      1848 kB
-VmPTE:      1716 kB
-VmSwap:     1544 kB
-```
-
-**17.31016 kB virtual, 12.88936 kB resident per histogram.**
-
-1000 histograms with an exponentially-decaying sample size of 1028 and alpha of 0.015
--------------------------------------------------------------------------------------
-
-```
-VmPeak:    62480 kB
-VmSize:    62480 kB
-VmLck:         0 kB
-VmHWM:     11572 kB
-VmRSS:     11572 kB
-VmData:    55308 kB
-VmStk:       136 kB
-VmExe:      1048 kB
-VmLib:      1848 kB
-VmPTE:        64 kB
-VmSwap:        0 kB
-```
-
-**19.876 kB virtual, 10.452 kB resident per histogram.**
-
-10000 histograms with an exponentially-decaying sample size of 1028 and alpha of 0.015
---------------------------------------------------------------------------------------
-
-```
-VmPeak:   153296 kB
-VmSize:   153296 kB
-VmLck:         0 kB
-VmHWM:    101176 kB
-VmRSS:    101176 kB
-VmData:   146124 kB
-VmStk:       136 kB
-VmExe:      1048 kB
-VmLib:      1848 kB
-VmPTE:       240 kB
-VmSwap:        0 kB
-```
-
-**11.0692 kB virtual, 10.0056 kB resident per histogram.**
-
-50000 histograms with an exponentially-decaying sample size of 1028 and alpha of 0.015
---------------------------------------------------------------------------------------
-
-```
-VmPeak:   557264 kB
-VmSize:   557264 kB
-VmLck:         0 kB
-VmHWM:    501056 kB
-VmRSS:    501056 kB
-VmData:   550092 kB
-VmStk:       136 kB
-VmExe:      1048 kB
-VmLib:      1848 kB
-VmPTE:      1032 kB
-VmSwap:        0 kB
-```
-
-**10.2932 kB virtual, 9.99872 kB resident per histogram.**
-
-1000 meters
------------
-
-```
-VmPeak:    74504 kB
-VmSize:    74504 kB
-VmLck:         0 kB
-VmHWM:     24124 kB
-VmRSS:     24124 kB
-VmData:    67340 kB
-VmStk:       136 kB
-VmExe:      1040 kB
-VmLib:      1848 kB
-VmPTE:        92 kB
-VmSwap:        0 kB
-```
-
-**31.9 kB virtual, 23.004 kB resident per meter.**
-
-10000 meters
-------------
-
-```
-VmPeak:   278920 kB
-VmSize:   278920 kB
-VmLck:         0 kB
-VmHWM:    227300 kB
-VmRSS:    227300 kB
-VmData:   271756 kB
-VmStk:       136 kB
-VmExe:      1040 kB
-VmLib:      1848 kB
-VmPTE:       488 kB
-VmSwap:        0 kB
-```
-
-**23.6316 kB virtual, 22.618 kB resident per meter.**

third_party/github.com/rcrowley/go-metrics/meter.go

@@ -1,183 +0,0 @@
-package metrics
-
-import "time"
-
-// Meters count events to produce exponentially-weighted moving average rates
-// at one-, five-, and fifteen-minutes and a mean rate.
-type Meter interface {
-	Count() int64
-	Mark(int64)
-	Rate1() float64
-	Rate5() float64
-	Rate15() float64
-	RateMean() float64
-	Snapshot() Meter
-}
-
-// GetOrRegisterMeter returns an existing Meter or constructs and registers a
-// new StandardMeter.
-func GetOrRegisterMeter(name string, r Registry) Meter {
-	if nil == r {
-		r = DefaultRegistry
-	}
-	return r.GetOrRegister(name, NewMeter()).(Meter)
-}
-
-// NewMeter constructs a new StandardMeter and launches a goroutine.
-func NewMeter() Meter {
-	if UseNilMetrics {
-		return NilMeter{}
-	}
-	m := &StandardMeter{
-		make(chan int64),
-		make(chan *MeterSnapshot),
-		time.NewTicker(5e9),
-	}
-	go m.arbiter()
-	return m
-}
-
-// NewMeter constructs and registers a new StandardMeter and launches a
-// goroutine.
-func NewRegisteredMeter(name string, r Registry) Meter {
-	c := NewMeter()
-	if nil == r {
-		r = DefaultRegistry
-	}
-	r.Register(name, c)
-	return c
-}
-
-// MeterSnapshot is a read-only copy of another Meter.
-type MeterSnapshot struct {
-	count                          int64
-	rate1, rate5, rate15, rateMean float64
-}
-
-// Count returns the count of events at the time the snapshot was taken.
-func (m *MeterSnapshot) Count() int64 { return m.count }
-
-// Mark panics.
-func (*MeterSnapshot) Mark(n int64) {
-	panic("Mark called on a MeterSnapshot")
-}
-
-// Rate1 returns the one-minute moving average rate of events per second at the
-// time the snapshot was taken.
-func (m *MeterSnapshot) Rate1() float64 { return m.rate1 }
-
-// Rate5 returns the five-minute moving average rate of events per second at
-// the time the snapshot was taken.
-func (m *MeterSnapshot) Rate5() float64 { return m.rate5 }
-
-// Rate15 returns the fifteen-minute moving average rate of events per second
-// at the time the snapshot was taken.
-func (m *MeterSnapshot) Rate15() float64 { return m.rate15 }
-
-// RateMean returns the meter's mean rate of events per second at the time the
-// snapshot was taken.
-func (m *MeterSnapshot) RateMean() float64 { return m.rateMean }
-
-// Snapshot returns the snapshot.
-func (m *MeterSnapshot) Snapshot() Meter { return m }
-
-// NilMeter is a no-op Meter.
-type NilMeter struct{}
-
-// Count is a no-op.
-func (NilMeter) Count() int64 { return 0 }
-
-// Mark is a no-op.
-func (NilMeter) Mark(n int64) {}
-
-// Rate1 is a no-op.
-func (NilMeter) Rate1() float64 { return 0.0 }
-
-// Rate5 is a no-op.
-func (NilMeter) Rate5() float64 { return 0.0 }
-
-// Rate15is a no-op.
-func (NilMeter) Rate15() float64 { return 0.0 }
-
-// RateMean is a no-op.
-func (NilMeter) RateMean() float64 { return 0.0 }
-
-// Snapshot is a no-op.
-func (NilMeter) Snapshot() Meter { return NilMeter{} }
-
-// StandardMeter is the standard implementation of a Meter and uses a
-// goroutine to synchronize its calculations and a time.Ticker to pass time.
-type StandardMeter struct {
-	in     chan int64
-	out    chan *MeterSnapshot
-	ticker *time.Ticker
-}
-
-// Count returns the number of events recorded.
-func (m *StandardMeter) Count() int64 {
-	return (<-m.out).count
-}
-
-// Mark records the occurance of n events.
-func (m *StandardMeter) Mark(n int64) {
-	m.in <- n
-}
-
-// Rate1 returns the one-minute moving average rate of events per second.
-func (m *StandardMeter) Rate1() float64 {
-	return (<-m.out).rate1
-}
-
-// Rate5 returns the five-minute moving average rate of events per second.
-func (m *StandardMeter) Rate5() float64 {
-	return (<-m.out).rate5
-}
-
-// Rate15 returns the fifteen-minute moving average rate of events per second.
-func (m *StandardMeter) Rate15() float64 {
-	return (<-m.out).rate15
-}
-
-// RateMean returns the meter's mean rate of events per second.
-func (m *StandardMeter) RateMean() float64 {
-	return (<-m.out).rateMean
-}
-
-// Snapshot returns a read-only copy of the meter.
-func (m *StandardMeter) Snapshot() Meter {
-	snapshot := *<-m.out
-	return &snapshot
-}
-
-// arbiter receives inputs and sends outputs.  It counts each input and updates
-// the various moving averages and the mean rate of events.  It sends a copy of
-// the meterV as output.
-func (m *StandardMeter) arbiter() {
-	snapshot := &MeterSnapshot{}
-	a1 := NewEWMA1()
-	a5 := NewEWMA5()
-	a15 := NewEWMA15()
-	t := time.Now()
-	for {
-		select {
-		case n := <-m.in:
-			snapshot.count += n
-			a1.Update(n)
-			a5.Update(n)
-			a15.Update(n)
-			snapshot.rate1 = a1.Rate()
-			snapshot.rate5 = a5.Rate()
-			snapshot.rate15 = a15.Rate()
-			snapshot.rateMean = float64(1e9*snapshot.count) / float64(time.Since(t))
-		case m.out <- snapshot:
-		case <-m.ticker.C:
-			a1.Tick()
-			a5.Tick()
-			a15.Tick()
-			snapshot.rate1 = a1.Rate()
-			snapshot.rate5 = a5.Rate()
-			snapshot.rate15 = a15.Rate()
-			snapshot.rateMean = float64(1e9*snapshot.count) / float64(time.Since(t))
-		}
-	}
-}

third_party/github.com/rcrowley/go-metrics/meter_test.go

@@ -1,60 +0,0 @@
-package metrics
-
-import (
-	"testing"
-	"time"
-)
-
-func BenchmarkMeter(b *testing.B) {
-	m := NewMeter()
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		m.Mark(1)
-	}
-}
-
-func TestGetOrRegisterMeter(t *testing.T) {
-	r := NewRegistry()
-	NewRegisteredMeter("foo", r).Mark(47)
-	if m := GetOrRegisterMeter("foo", r); 47 != m.Count() {
-		t.Fatal(m)
-	}
-}
-
-func TestMeterDecay(t *testing.T) {
-	m := &StandardMeter{
-		make(chan int64),
-		make(chan *MeterSnapshot),
-		time.NewTicker(1),
-	}
-	go m.arbiter()
-	m.Mark(1)
-	rateMean := m.RateMean()
-	time.Sleep(1)
-	if m.RateMean() >= rateMean {
-		t.Error("m.RateMean() didn't decrease")
-	}
-}
-
-func TestMeterNonzero(t *testing.T) {
-	m := NewMeter()
-	m.Mark(3)
-	if count := m.Count(); 3 != count {
-		t.Errorf("m.Count(): 3 != %v\n", count)
-	}
-}
-
-func TestMeterSnapshot(t *testing.T) {
-	m := NewMeter()
-	m.Mark(1)
-	if snapshot := m.Snapshot(); m.RateMean() != snapshot.RateMean() {
-		t.Fatal(snapshot)
-	}
-}
-
-func TestMeterZero(t *testing.T) {
-	m := NewMeter()
-	if count := m.Count(); 0 != count {
-		t.Errorf("m.Count(): 0 != %v\n", count)
-	}
-}

third_party/github.com/rcrowley/go-metrics/metrics.go

@@ -1,13 +0,0 @@
-// Go port of Coda Hale's Metrics library
-//
-// <https://github.com/rcrowley/go-metrics>
-//
-// Coda Hale's original work: <https://github.com/codahale/metrics>
-package metrics
-
-// UseNilMetrics is checked by the constructor functions for all of the
-// standard metrics.  If it is true, the metric returned is a stub.
-//
-// This global kill-switch helps quantify the observer effect and makes
-// for less cluttered pprof profiles.
-var UseNilMetrics bool = false

third_party/github.com/rcrowley/go-metrics/metrics_test.go

@@ -1,105 +0,0 @@
-package metrics
-
-import (
-	"io/ioutil"
-	"log"
-	"sync"
-	"testing"
-)
-
-const FANOUT = 128
-
-// Stop the compiler from complaining during debugging.
-var (
-	_ = ioutil.Discard
-	_ = log.LstdFlags
-)
-
-func BenchmarkMetrics(b *testing.B) {
-	r := NewRegistry()
-	c := NewRegisteredCounter("counter", r)
-	g := NewRegisteredGauge("gauge", r)
-	h := NewRegisteredHistogram("histogram", r, NewUniformSample(100))
-	m := NewRegisteredMeter("meter", r)
-	t := NewRegisteredTimer("timer", r)
-	RegisterDebugGCStats(r)
-	RegisterRuntimeMemStats(r)
-	b.ResetTimer()
-	ch := make(chan bool)
-
-	wgD := &sync.WaitGroup{}
-	/*
-		wgD.Add(1)
-		go func() {
-			defer wgD.Done()
-			//log.Println("go CaptureDebugGCStats")
-			for {
-				select {
-				case <-ch:
-					//log.Println("done CaptureDebugGCStats")
-					return
-				default:
-					CaptureDebugGCStatsOnce(r)
-				}
-			}
-		}()
-	//*/
-
-	wgR := &sync.WaitGroup{}
-	//*
-	wgR.Add(1)
-	go func() {
-		defer wgR.Done()
-		//log.Println("go CaptureRuntimeMemStats")
-		for {
-			select {
-			case <-ch:
-				//log.Println("done CaptureRuntimeMemStats")
-				return
-			default:
-				CaptureRuntimeMemStatsOnce(r)
-			}
-		}
-	}()
-	//*/
-
-	wgW := &sync.WaitGroup{}
-	/*
-		wgW.Add(1)
-		go func() {
-			defer wgW.Done()
-			//log.Println("go Write")
-			for {
-				select {
-				case <-ch:
-					//log.Println("done Write")
-					return
-				default:
-					WriteOnce(r, ioutil.Discard)
-				}
-			}
-		}()
-	//*/
-
-	wg := &sync.WaitGroup{}
-	wg.Add(FANOUT)
-	for i := 0; i < FANOUT; i++ {
-		go func(i int) {
-			defer wg.Done()
-			//log.Println("go", i)
-			for i := 0; i < b.N; i++ {
-				c.Inc(1)
-				g.Update(int64(i))
-				h.Update(int64(i))
-				m.Mark(1)
-				t.Update(1)
-			}
-			//log.Println("done", i)
-		}(i)
-	}
-	wg.Wait()
-	close(ch)
-	wgD.Wait()
-	wgR.Wait()
-	wgW.Wait()
-}

third_party/github.com/rcrowley/go-metrics/registry.go

@@ -1,142 +0,0 @@
-package metrics
-
-import "sync"
-
-// A Registry holds references to a set of metrics by name and can iterate
-// over them, calling callback functions provided by the user.
-//
-// This is an interface so as to encourage other structs to implement
-// the Registry API as appropriate.
-type Registry interface {
-
-	// Call the given function for each registered metric.
-	Each(func(string, interface{}))
-
-	// Get the metric by the given name or nil if none is registered.
-	Get(string) interface{}
-
-	// Gets an existing metric or creates and registers a new one.
-	GetOrRegister(string, interface{}) interface{}
-
-	// Register the given metric under the given name.
-	Register(string, interface{})
-
-	// Run all registered healthchecks.
-	RunHealthchecks()
-
-	// Unregister the metric with the given name.
-	Unregister(string)
-}
-
-// The standard implementation of a Registry is a mutex-protected map
-// of names to metrics.
-type StandardRegistry struct {
-	metrics map[string]interface{}
-	mutex   sync.Mutex
-}
-
-// Create a new registry.
-func NewRegistry() Registry {
-	return &StandardRegistry{metrics: make(map[string]interface{})}
-}
-
-// Call the given function for each registered metric.
-func (r *StandardRegistry) Each(f func(string, interface{})) {
-	for name, i := range r.registered() {
-		f(name, i)
-	}
-}
-
-// Get the metric by the given name or nil if none is registered.
-func (r *StandardRegistry) Get(name string) interface{} {
-	r.mutex.Lock()
-	defer r.mutex.Unlock()
-	return r.metrics[name]
-}
-
-// Gets an existing metric or creates and registers a new one. Threadsafe
-// alternative to calling Get and Register on failure.
-func (r *StandardRegistry) GetOrRegister(name string, i interface{}) interface{} {
-	r.mutex.Lock()
-	defer r.mutex.Unlock()
-	if metric, ok := r.metrics[name]; ok {
-		return metric
-	}
-	r.register(name, i)
-	return i
-}
-
-// Register the given metric under the given name.
-func (r *StandardRegistry) Register(name string, i interface{}) {
-	r.mutex.Lock()
-	defer r.mutex.Unlock()
-	r.register(name, i)
-}
-
-// Run all registered healthchecks.
-func (r *StandardRegistry) RunHealthchecks() {
-	r.mutex.Lock()
-	defer r.mutex.Unlock()
-	for _, i := range r.metrics {
-		if h, ok := i.(Healthcheck); ok {
-			h.Check()
-		}
-	}
-}
-
-// Unregister the metric with the given name.
-func (r *StandardRegistry) Unregister(name string) {
-	r.mutex.Lock()
-	defer r.mutex.Unlock()
-	delete(r.metrics, name)
-}
-
-func (r *StandardRegistry) register(name string, i interface{}) {
-	switch i.(type) {
-	case Counter, Gauge, Healthcheck, Histogram, Meter, Timer:
-		r.metrics[name] = i
-	}
-}
-
-func (r *StandardRegistry) registered() map[string]interface{} {
-	metrics := make(map[string]interface{}, len(r.metrics))
-	r.mutex.Lock()
-	defer r.mutex.Unlock()
-	for name, i := range r.metrics {
-		metrics[name] = i
-	}
-	return metrics
-}
-
-var DefaultRegistry Registry = NewRegistry()
-
-// Call the given function for each registered metric.
-func Each(f func(string, interface{})) {
-	DefaultRegistry.Each(f)
-}
-
-// Get the metric by the given name or nil if none is registered.
-func Get(name string) interface{} {
-	return DefaultRegistry.Get(name)
-}
-
-// Gets an existing metric or creates and registers a new one. Threadsafe
-// alternative to calling Get and Register on failure.
-func GetOrRegister(name string, i interface{}) interface{} {
-	return DefaultRegistry.GetOrRegister(name, i)
-}
-
-// Register the given metric under the given name.
-func Register(name string, i interface{}) {
-	DefaultRegistry.Register(name, i)
-}
-
-// Run all registered healthchecks.
-func RunHealthchecks() {
-	DefaultRegistry.RunHealthchecks()
-}
-
-// Unregister the metric with the given name.
-func Unregister(name string) {
-	DefaultRegistry.Unregister(name)
-}

third_party/github.com/rcrowley/go-metrics/registry_test.go

@@ -1,73 +0,0 @@
-package metrics
-
-import "testing"
-
-func BenchmarkRegistry(b *testing.B) {
-	r := NewRegistry()
-	r.Register("foo", NewCounter())
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		r.Each(func(string, interface{}) {})
-	}
-}
-
-func TestRegistry(t *testing.T) {
-	r := NewRegistry()
-	r.Register("foo", NewCounter())
-	i := 0
-	r.Each(func(name string, iface interface{}) {
-		i++
-		if "foo" != name {
-			t.Fatal(name)
-		}
-		if _, ok := iface.(Counter); !ok {
-			t.Fatal(iface)
-		}
-	})
-	if 1 != i {
-		t.Fatal(i)
-	}
-	r.Unregister("foo")
-	i = 0
-	r.Each(func(string, interface{}) { i++ })
-	if 0 != i {
-		t.Fatal(i)
-	}
-}
-
-func TestRegistryGet(t *testing.T) {
-	r := NewRegistry()
-	r.Register("foo", NewCounter())
-	if count := r.Get("foo").(Counter).Count(); 0 != count {
-		t.Fatal(count)
-	}
-	r.Get("foo").(Counter).Inc(1)
-	if count := r.Get("foo").(Counter).Count(); 1 != count {
-		t.Fatal(count)
-	}
-}
-
-func TestRegistryGetOrRegister(t *testing.T) {
-	r := NewRegistry()
-
-	// First metric wins with GetOrRegister
-	_ = r.GetOrRegister("foo", NewCounter())
-	m := r.GetOrRegister("foo", NewGauge())
-	if _, ok := m.(Counter); !ok {
-		t.Fatal(m)
-	}
-
-	i := 0
-	r.Each(func(name string, iface interface{}) {
-		i++
-		if name != "foo" {
-			t.Fatal(name)
-		}
-		if _, ok := iface.(Counter); !ok {
-			t.Fatal(iface)
-		}
-	})
-	if i != 1 {
-		t.Fatal(i)
-	}
-}

third_party/github.com/rcrowley/go-metrics/runtime.go

@@ -1,171 +0,0 @@
-package metrics
-
-import (
-	"runtime"
-	"time"
-)
-
-var (
-	memStats       runtime.MemStats
-	runtimeMetrics struct {
-		MemStats struct {
-			Alloc        Gauge
-			BuckHashSys  Gauge
-			DebugGC      Gauge
-			EnableGC     Gauge
-			Frees        Gauge
-			HeapAlloc    Gauge
-			HeapIdle     Gauge
-			HeapInuse    Gauge
-			HeapObjects  Gauge
-			HeapReleased Gauge
-			HeapSys      Gauge
-			LastGC       Gauge
-			Lookups      Gauge
-			Mallocs      Gauge
-			MCacheInuse  Gauge
-			MCacheSys    Gauge
-			MSpanInuse   Gauge
-			MSpanSys     Gauge
-			NextGC       Gauge
-			NumGC        Gauge
-			PauseNs      Histogram
-			PauseTotalNs Gauge
-			StackInuse   Gauge
-			StackSys     Gauge
-			Sys          Gauge
-			TotalAlloc   Gauge
-		}
-		NumCgoCall   Gauge
-		NumGoroutine Gauge
-		ReadMemStats Timer
-	}
-	numGC uint32
-)
-
-// Capture new values for the Go runtime statistics exported in
-// runtime.MemStats.  This is designed to be called as a goroutine.
-func CaptureRuntimeMemStats(r Registry, d time.Duration) {
-	for {
-		CaptureRuntimeMemStatsOnce(r)
-		time.Sleep(d)
-	}
-}
-
-// Capture new values for the Go runtime statistics exported in
-// runtime.MemStats.  This is designed to be called in a background
-// goroutine.  Giving a registry which has not been given to
-// RegisterRuntimeMemStats will panic.
-//
-// Be very careful with this because runtime.ReadMemStats calls the C
-// functions runtime·semacquire(&runtime·worldsema) and runtime·stoptheworld()
-// and that last one does what it says on the tin.
-func CaptureRuntimeMemStatsOnce(r Registry) {
-	t := time.Now()
-	runtime.ReadMemStats(&memStats) // This takes 50-200us.
-	runtimeMetrics.ReadMemStats.UpdateSince(t)
-
-	runtimeMetrics.MemStats.Alloc.Update(int64(memStats.Alloc))
-	runtimeMetrics.MemStats.BuckHashSys.Update(int64(memStats.BuckHashSys))
-	if memStats.DebugGC {
-		runtimeMetrics.MemStats.DebugGC.Update(1)
-	} else {
-		runtimeMetrics.MemStats.DebugGC.Update(0)
-	}
-	if memStats.EnableGC {
-		runtimeMetrics.MemStats.EnableGC.Update(1)
-	} else {
-		runtimeMetrics.MemStats.EnableGC.Update(0)
-	}
-	runtimeMetrics.MemStats.Frees.Update(int64(memStats.Frees))
-	runtimeMetrics.MemStats.HeapAlloc.Update(int64(memStats.HeapAlloc))
-	runtimeMetrics.MemStats.HeapIdle.Update(int64(memStats.HeapIdle))
-	runtimeMetrics.MemStats.HeapInuse.Update(int64(memStats.HeapInuse))
-	runtimeMetrics.MemStats.HeapObjects.Update(int64(memStats.HeapObjects))
-	runtimeMetrics.MemStats.HeapReleased.Update(int64(memStats.HeapReleased))
-	runtimeMetrics.MemStats.HeapSys.Update(int64(memStats.HeapSys))
-	runtimeMetrics.MemStats.LastGC.Update(int64(memStats.LastGC))
-	runtimeMetrics.MemStats.Lookups.Update(int64(memStats.Lookups))
-	runtimeMetrics.MemStats.Mallocs.Update(int64(memStats.Mallocs))
-	runtimeMetrics.MemStats.MCacheInuse.Update(int64(memStats.MCacheInuse))
-	runtimeMetrics.MemStats.MCacheSys.Update(int64(memStats.MCacheSys))
-	runtimeMetrics.MemStats.MSpanInuse.Update(int64(memStats.MSpanInuse))
-	runtimeMetrics.MemStats.MSpanSys.Update(int64(memStats.MSpanSys))
-	runtimeMetrics.MemStats.NextGC.Update(int64(memStats.NextGC))
-	runtimeMetrics.MemStats.NumGC.Update(int64(memStats.NumGC))
-	for i := uint32(1); i <= memStats.NumGC-numGC; i++ {
-		runtimeMetrics.MemStats.PauseNs.Update(int64(memStats.PauseNs[(memStats.NumGC%256-i)%256])) // <https://code.google.com/p/go/source/browse/src/pkg/runtime/mgc0.c>
-	}
-	runtimeMetrics.MemStats.PauseTotalNs.Update(int64(memStats.PauseTotalNs))
-	runtimeMetrics.MemStats.StackInuse.Update(int64(memStats.StackInuse))
-	runtimeMetrics.MemStats.StackSys.Update(int64(memStats.StackSys))
-	runtimeMetrics.MemStats.Sys.Update(int64(memStats.Sys))
-	runtimeMetrics.MemStats.TotalAlloc.Update(int64(memStats.TotalAlloc))
-	runtimeMetrics.NumCgoCall.Update(int64(runtime.NumCgoCall()))
-	runtimeMetrics.NumGoroutine.Update(int64(runtime.NumGoroutine()))
-}
-
-// Register runtimeMetrics for the Go runtime statistics exported in runtime and
-// specifically runtime.MemStats.  The runtimeMetrics are named by their
-// fully-qualified Go symbols, i.e. runtime.MemStats.Alloc.
-func RegisterRuntimeMemStats(r Registry) {
-	runtimeMetrics.MemStats.Alloc = NewGauge()
-	runtimeMetrics.MemStats.BuckHashSys = NewGauge()
-	runtimeMetrics.MemStats.DebugGC = NewGauge()
-	runtimeMetrics.MemStats.EnableGC = NewGauge()
-	runtimeMetrics.MemStats.Frees = NewGauge()
-	runtimeMetrics.MemStats.HeapAlloc = NewGauge()
-	runtimeMetrics.MemStats.HeapIdle = NewGauge()
-	runtimeMetrics.MemStats.HeapInuse = NewGauge()
-	runtimeMetrics.MemStats.HeapObjects = NewGauge()
-	runtimeMetrics.MemStats.HeapReleased = NewGauge()
-	runtimeMetrics.MemStats.HeapSys = NewGauge()
-	runtimeMetrics.MemStats.LastGC = NewGauge()
-	runtimeMetrics.MemStats.Lookups = NewGauge()
-	runtimeMetrics.MemStats.Mallocs = NewGauge()
-	runtimeMetrics.MemStats.MCacheInuse = NewGauge()
-	runtimeMetrics.MemStats.MCacheSys = NewGauge()
-	runtimeMetrics.MemStats.MSpanInuse = NewGauge()
-	runtimeMetrics.MemStats.MSpanSys = NewGauge()
-	runtimeMetrics.MemStats.NextGC = NewGauge()
-	runtimeMetrics.MemStats.NumGC = NewGauge()
-	runtimeMetrics.MemStats.PauseNs = NewHistogram(NewExpDecaySample(1028, 0.015))
-	runtimeMetrics.MemStats.PauseTotalNs = NewGauge()
-	runtimeMetrics.MemStats.StackInuse = NewGauge()
-	runtimeMetrics.MemStats.StackSys = NewGauge()
-	runtimeMetrics.MemStats.Sys = NewGauge()
-	runtimeMetrics.MemStats.TotalAlloc = NewGauge()
-	runtimeMetrics.NumCgoCall = NewGauge()
-	runtimeMetrics.NumGoroutine = NewGauge()
-	runtimeMetrics.ReadMemStats = NewTimer()
-
-	r.Register("runtime.MemStats.Alloc", runtimeMetrics.MemStats.Alloc)
-	r.Register("runtime.MemStats.BuckHashSys", runtimeMetrics.MemStats.BuckHashSys)
-	r.Register("runtime.MemStats.DebugGC", runtimeMetrics.MemStats.DebugGC)
-	r.Register("runtime.MemStats.EnableGC", runtimeMetrics.MemStats.EnableGC)
-	r.Register("runtime.MemStats.Frees", runtimeMetrics.MemStats.Frees)
-	r.Register("runtime.MemStats.HeapAlloc", runtimeMetrics.MemStats.HeapAlloc)
-	r.Register("runtime.MemStats.HeapIdle", runtimeMetrics.MemStats.HeapIdle)
-	r.Register("runtime.MemStats.HeapInuse", runtimeMetrics.MemStats.HeapInuse)
-	r.Register("runtime.MemStats.HeapObjects", runtimeMetrics.MemStats.HeapObjects)
-	r.Register("runtime.MemStats.HeapReleased", runtimeMetrics.MemStats.HeapReleased)
-	r.Register("runtime.MemStats.HeapSys", runtimeMetrics.MemStats.HeapSys)
-	r.Register("runtime.MemStats.LastGC", runtimeMetrics.MemStats.LastGC)
-	r.Register("runtime.MemStats.Lookups", runtimeMetrics.MemStats.Lookups)
-	r.Register("runtime.MemStats.Mallocs", runtimeMetrics.MemStats.Mallocs)
-	r.Register("runtime.MemStats.MCacheInuse", runtimeMetrics.MemStats.MCacheInuse)
-	r.Register("runtime.MemStats.MCacheSys", runtimeMetrics.MemStats.MCacheSys)
-	r.Register("runtime.MemStats.MSpanInuse", runtimeMetrics.MemStats.MSpanInuse)
-	r.Register("runtime.MemStats.MSpanSys", runtimeMetrics.MemStats.MSpanSys)
-	r.Register("runtime.MemStats.NextGC", runtimeMetrics.MemStats.NextGC)
-	r.Register("runtime.MemStats.NumGC", runtimeMetrics.MemStats.NumGC)
-	r.Register("runtime.MemStats.PauseNs", runtimeMetrics.MemStats.PauseNs)
-	r.Register("runtime.MemStats.PauseTotalNs", runtimeMetrics.MemStats.PauseTotalNs)
-	r.Register("runtime.MemStats.StackInuse", runtimeMetrics.MemStats.StackInuse)
-	r.Register("runtime.MemStats.StackSys", runtimeMetrics.MemStats.StackSys)
-	r.Register("runtime.MemStats.Sys", runtimeMetrics.MemStats.Sys)
-	r.Register("runtime.MemStats.TotalAlloc", runtimeMetrics.MemStats.TotalAlloc)
-	r.Register("runtime.NumCgoCall", runtimeMetrics.NumCgoCall)
-	r.Register("runtime.NumGoroutine", runtimeMetrics.NumGoroutine)
-	r.Register("runtime.ReadMemStats", runtimeMetrics.ReadMemStats)
-}

third_party/github.com/rcrowley/go-metrics/runtime_test.go

@@ -1,46 +0,0 @@
-package metrics
-
-import (
-	"runtime"
-	"testing"
-	"time"
-)
-
-func BenchmarkRuntimeMemStats(b *testing.B) {
-	r := NewRegistry()
-	RegisterRuntimeMemStats(r)
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		CaptureRuntimeMemStatsOnce(r)
-	}
-}
-
-func TestRuntimeMemStatsBlocking(t *testing.T) {
-	if g := runtime.GOMAXPROCS(0); g < 2 {
-		t.Skipf("skipping TestRuntimeMemStatsBlocking with GOMAXPROCS=%d\n", g)
-	}
-	ch := make(chan int)
-	go testRuntimeMemStatsBlocking(ch)
-	var memStats runtime.MemStats
-	t0 := time.Now()
-	runtime.ReadMemStats(&memStats)
-	t1 := time.Now()
-	t.Log("i++ during runtime.ReadMemStats:", <-ch)
-	go testRuntimeMemStatsBlocking(ch)
-	d := t1.Sub(t0)
-	t.Log(d)
-	time.Sleep(d)
-	t.Log("i++ during time.Sleep:", <-ch)
-}
-
-func testRuntimeMemStatsBlocking(ch chan int) {
-	i := 0
-	for {
-		select {
-		case ch <- i:
-			return
-		default:
-			i++
-		}
-	}
-}

third_party/github.com/rcrowley/go-metrics/sample.go

@@ -1,562 +0,0 @@
-package metrics
-
-import (
-	"container/heap"
-	"math"
-	"math/rand"
-	"sort"
-	"sync"
-	"sync/atomic"
-	"time"
-)
-
-const rescaleThreshold = time.Hour
-
-// Samples maintain a statistically-significant selection of values from
-// a stream.
-type Sample interface {
-	Clear()
-	Count() int64
-	Max() int64
-	Mean() float64
-	Min() int64
-	Percentile(float64) float64
-	Percentiles([]float64) []float64
-	Size() int
-	Snapshot() Sample
-	StdDev() float64
-	Sum() int64
-	Update(int64)
-	Values() []int64
-	Variance() float64
-}
-
-// ExpDecaySample is an exponentially-decaying sample using a forward-decaying
-// priority reservoir.  See Cormode et al's "Forward Decay: A Practical Time
-// Decay Model for Streaming Systems".
-//
-// <http://www.research.att.com/people/Cormode_Graham/library/publications/CormodeShkapenyukSrivastavaXu09.pdf>
-type ExpDecaySample struct {
-	alpha         float64
-	count         int64
-	mutex         sync.Mutex
-	reservoirSize int
-	t0, t1        time.Time
-	values        expDecaySampleHeap
-}
-
-// NewExpDecaySample constructs a new exponentially-decaying sample with the
-// given reservoir size and alpha.
-func NewExpDecaySample(reservoirSize int, alpha float64) Sample {
-	if UseNilMetrics {
-		return NilSample{}
-	}
-	s := &ExpDecaySample{
-		alpha:         alpha,
-		reservoirSize: reservoirSize,
-		t0:            time.Now(),
-		values:        make(expDecaySampleHeap, 0, reservoirSize),
-	}
-	s.t1 = time.Now().Add(rescaleThreshold)
-	return s
-}
-
-// Clear clears all samples.
-func (s *ExpDecaySample) Clear() {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	s.count = 0
-	s.t0 = time.Now()
-	s.t1 = s.t0.Add(rescaleThreshold)
-	s.values = make(expDecaySampleHeap, 0, s.reservoirSize)
-}
-
-// Count returns the number of samples recorded, which may exceed the
-// reservoir size.
-func (s *ExpDecaySample) Count() int64 {
-	return atomic.LoadInt64(&s.count)
-}
-
-// Max returns the maximum value in the sample, which may not be the maximum
-// value ever to be part of the sample.
-func (s *ExpDecaySample) Max() int64 {
-	return SampleMax(s.Values())
-}
-
-// Mean returns the mean of the values in the sample.
-func (s *ExpDecaySample) Mean() float64 {
-	return SampleMean(s.Values())
-}
-
-// Min returns the minimum value in the sample, which may not be the minimum
-// value ever to be part of the sample.
-func (s *ExpDecaySample) Min() int64 {
-	return SampleMin(s.Values())
-}
-
-// Percentile returns an arbitrary percentile of values in the sample.
-func (s *ExpDecaySample) Percentile(p float64) float64 {
-	return SamplePercentile(s.Values(), p)
-}
-
-// Percentiles returns a slice of arbitrary percentiles of values in the
-// sample.
-func (s *ExpDecaySample) Percentiles(ps []float64) []float64 {
-	return SamplePercentiles(s.Values(), ps)
-}
-
-// Size returns the size of the sample, which is at most the reservoir size.
-func (s *ExpDecaySample) Size() int {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	return len(s.values)
-}
-
-// Snapshot returns a read-only copy of the sample.
-func (s *ExpDecaySample) Snapshot() Sample {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	values := make([]int64, len(s.values))
-	for i, v := range s.values {
-		values[i] = v.v
-	}
-	return &SampleSnapshot{
-		count:  s.count,
-		values: values,
-	}
-}
-
-// StdDev returns the standard deviation of the values in the sample.
-func (s *ExpDecaySample) StdDev() float64 {
-	return SampleStdDev(s.Values())
-}
-
-// Sum returns the sum of the values in the sample.
-func (s *ExpDecaySample) Sum() int64 {
-	return SampleSum(s.Values())
-}
-
-// Update samples a new value.
-func (s *ExpDecaySample) Update(v int64) {
-	s.update(time.Now(), v)
-}
-
-// Values returns a copy of the values in the sample.
-func (s *ExpDecaySample) Values() []int64 {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	values := make([]int64, len(s.values))
-	for i, v := range s.values {
-		values[i] = v.v
-	}
-	return values
-}
-
-// Variance returns the variance of the values in the sample.
-func (s *ExpDecaySample) Variance() float64 {
-	return SampleVariance(s.Values())
-}
-
-// update samples a new value at a particular timestamp.  This is a method all
-// its own to facilitate testing.
-func (s *ExpDecaySample) update(t time.Time, v int64) {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	s.count++
-	if len(s.values) == s.reservoirSize {
-		heap.Pop(&s.values)
-	}
-	heap.Push(&s.values, expDecaySample{
-		k: math.Exp(t.Sub(s.t0).Seconds()*s.alpha) / rand.Float64(),
-		v: v,
-	})
-	if t.After(s.t1) {
-		values := s.values
-		t0 := s.t0
-		s.values = make(expDecaySampleHeap, 0, s.reservoirSize)
-		s.t0 = t
-		s.t1 = s.t0.Add(rescaleThreshold)
-		for _, v := range values {
-			v.k = v.k * math.Exp(-s.alpha*float64(s.t0.Sub(t0)))
-			heap.Push(&s.values, v)
-		}
-	}
-}
-
-// NilSample is a no-op Sample.
-type NilSample struct{}
-
-// Clear is a no-op.
-func (NilSample) Clear() {}
-
-// Count is a no-op.
-func (NilSample) Count() int64 { return 0 }
-
-// Max is a no-op.
-func (NilSample) Max() int64 { return 0 }
-
-// Mean is a no-op.
-func (NilSample) Mean() float64 { return 0.0 }
-
-// Min is a no-op.
-func (NilSample) Min() int64 { return 0 }
-
-// Percentile is a no-op.
-func (NilSample) Percentile(p float64) float64 { return 0.0 }
-
-// Percentiles is a no-op.
-func (NilSample) Percentiles(ps []float64) []float64 {
-	return make([]float64, len(ps))
-}
-
-// Size is a no-op.
-func (NilSample) Size() int { return 0 }
-
-// Sample is a no-op.
-func (NilSample) Snapshot() Sample { return NilSample{} }
-
-// StdDev is a no-op.
-func (NilSample) StdDev() float64 { return 0.0 }
-
-// Sum is a no-op.
-func (NilSample) Sum() int64 { return 0 }
-
-// Update is a no-op.
-func (NilSample) Update(v int64) {}
-
-// Values is a no-op.
-func (NilSample) Values() []int64 { return []int64{} }
-
-// Variance is a no-op.
-func (NilSample) Variance() float64 { return 0.0 }
-
-// SampleMax returns the maximum value of the slice of int64.
-func SampleMax(values []int64) int64 {
-	if 0 == len(values) {
-		return 0
-	}
-	var max int64 = math.MinInt64
-	for _, v := range values {
-		if max < v {
-			max = v
-		}
-	}
-	return max
-}
-
-// SampleMean returns the mean value of the slice of int64.
-func SampleMean(values []int64) float64 {
-	if 0 == len(values) {
-		return 0.0
-	}
-	return float64(SampleSum(values)) / float64(len(values))
-}
-
-// SampleMin returns the minimum value of the slice of int64.
-func SampleMin(values []int64) int64 {
-	if 0 == len(values) {
-		return 0
-	}
-	var min int64 = math.MaxInt64
-	for _, v := range values {
-		if min > v {
-			min = v
-		}
-	}
-	return min
-}
-
-// SamplePercentiles returns an arbitrary percentile of the slice of int64.
-func SamplePercentile(values int64Slice, p float64) float64 {
-	return SamplePercentiles(values, []float64{p})[0]
-}
-
-// SamplePercentiles returns a slice of arbitrary percentiles of the slice of
-// int64.
-func SamplePercentiles(values int64Slice, ps []float64) []float64 {
-	scores := make([]float64, len(ps))
-	size := len(values)
-	if size > 0 {
-		sort.Sort(values)
-		for i, p := range ps {
-			pos := p * float64(size+1)
-			if pos < 1.0 {
-				scores[i] = float64(values[0])
-			} else if pos >= float64(size) {
-				scores[i] = float64(values[size-1])
-			} else {
-				lower := float64(values[int(pos)-1])
-				upper := float64(values[int(pos)])
-				scores[i] = lower + (pos-math.Floor(pos))*(upper-lower)
-			}
-		}
-	}
-	return scores
-}
-
-// SampleSnapshot is a read-only copy of another Sample.
-type SampleSnapshot struct {
-	count  int64
-	values []int64
-}
-
-// Clear panics.
-func (*SampleSnapshot) Clear() {
-	panic("Clear called on a SampleSnapshot")
-}
-
-// Count returns the count of inputs at the time the snapshot was taken.
-func (s *SampleSnapshot) Count() int64 { return s.count }
-
-// Max returns the maximal value at the time the snapshot was taken.
-func (s *SampleSnapshot) Max() int64 { return SampleMax(s.values) }
-
-// Mean returns the mean value at the time the snapshot was taken.
-func (s *SampleSnapshot) Mean() float64 { return SampleMean(s.values) }
-
-// Min returns the minimal value at the time the snapshot was taken.
-func (s *SampleSnapshot) Min() int64 { return SampleMin(s.values) }
-
-// Percentile returns an arbitrary percentile of values at the time the
-// snapshot was taken.
-func (s *SampleSnapshot) Percentile(p float64) float64 {
-	return SamplePercentile(s.values, p)
-}
-
-// Percentiles returns a slice of arbitrary percentiles of values at the time
-// the snapshot was taken.
-func (s *SampleSnapshot) Percentiles(ps []float64) []float64 {
-	return SamplePercentiles(s.values, ps)
-}
-
-// Size returns the size of the sample at the time the snapshot was taken.
-func (s *SampleSnapshot) Size() int { return len(s.values) }
-
-// Snapshot returns the snapshot.
-func (s *SampleSnapshot) Snapshot() Sample { return s }
-
-// StdDev returns the standard deviation of values at the time the snapshot was
-// taken.
-func (s *SampleSnapshot) StdDev() float64 { return SampleStdDev(s.values) }
-
-// Sum returns the sum of values at the time the snapshot was taken.
-func (s *SampleSnapshot) Sum() int64 { return SampleSum(s.values) }
-
-// Update panics.
-func (*SampleSnapshot) Update(int64) {
-	panic("Update called on a SampleSnapshot")
-}
-
-// Values returns a copy of the values in the sample.
-func (s *SampleSnapshot) Values() []int64 {
-	values := make([]int64, len(s.values))
-	copy(values, s.values)
-	return values
-}
-
-// Variance returns the variance of values at the time the snapshot was taken.
-func (s *SampleSnapshot) Variance() float64 { return SampleVariance(s.values) }
-
-// SampleStdDev returns the standard deviation of the slice of int64.
-func SampleStdDev(values []int64) float64 {
-	return math.Sqrt(SampleVariance(values))
-}
-
-// SampleSum returns the sum of the slice of int64.
-func SampleSum(values []int64) int64 {
-	var sum int64
-	for _, v := range values {
-		sum += v
-	}
-	return sum
-}
-
-// SampleVariance returns the variance of the slice of int64.
-func SampleVariance(values []int64) float64 {
-	if 0 == len(values) {
-		return 0.0
-	}
-	m := SampleMean(values)
-	var sum float64
-	for _, v := range values {
-		d := float64(v) - m
-		sum += d * d
-	}
-	return sum / float64(len(values))
-}
-
-// A uniform sample using Vitter's Algorithm R.
-//
-// <http://www.cs.umd.edu/~samir/498/vitter.pdf>
-type UniformSample struct {
-	count         int64
-	mutex         sync.Mutex
-	reservoirSize int
-	values        []int64
-}
-
-// NewUniformSample constructs a new uniform sample with the given reservoir
-// size.
-func NewUniformSample(reservoirSize int) Sample {
-	if UseNilMetrics {
-		return NilSample{}
-	}
-	return &UniformSample{reservoirSize: reservoirSize}
-}
-
-// Clear clears all samples.
-func (s *UniformSample) Clear() {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	s.count = 0
-	s.values = make([]int64, 0, s.reservoirSize)
-}
-
-// Count returns the number of samples recorded, which may exceed the
-// reservoir size.
-func (s *UniformSample) Count() int64 {
-	return atomic.LoadInt64(&s.count)
-}
-
-// Max returns the maximum value in the sample, which may not be the maximum
-// value ever to be part of the sample.
-func (s *UniformSample) Max() int64 {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	return SampleMax(s.values)
-}
-
-// Mean returns the mean of the values in the sample.
-func (s *UniformSample) Mean() float64 {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	return SampleMean(s.values)
-}
-
-// Min returns the minimum value in the sample, which may not be the minimum
-// value ever to be part of the sample.
-func (s *UniformSample) Min() int64 {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	return SampleMin(s.values)
-}
-
-// Percentile returns an arbitrary percentile of values in the sample.
-func (s *UniformSample) Percentile(p float64) float64 {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	return SamplePercentile(s.values, p)
-}
-
-// Percentiles returns a slice of arbitrary percentiles of values in the
-// sample.
-func (s *UniformSample) Percentiles(ps []float64) []float64 {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	return SamplePercentiles(s.values, ps)
-}
-
-// Size returns the size of the sample, which is at most the reservoir size.
-func (s *UniformSample) Size() int {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	return len(s.values)
-}
-
-// Snapshot returns a read-only copy of the sample.
-func (s *UniformSample) Snapshot() Sample {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	values := make([]int64, len(s.values))
-	copy(values, s.values)
-	return &SampleSnapshot{
-		count:  s.count,
-		values: values,
-	}
-}
-
-// StdDev returns the standard deviation of the values in the sample.
-func (s *UniformSample) StdDev() float64 {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	return SampleStdDev(s.values)
-}
-
-// Sum returns the sum of the values in the sample.
-func (s *UniformSample) Sum() int64 {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	return SampleSum(s.values)
-}
-
-// Update samples a new value.
-func (s *UniformSample) Update(v int64) {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	s.count++
-	if len(s.values) < s.reservoirSize {
-		s.values = append(s.values, v)
-	} else {
-		s.values[rand.Intn(s.reservoirSize)] = v
-	}
-}
-
-// Values returns a copy of the values in the sample.
-func (s *UniformSample) Values() []int64 {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	values := make([]int64, len(s.values))
-	copy(values, s.values)
-	return values
-}
-
-// Variance returns the variance of the values in the sample.
-func (s *UniformSample) Variance() float64 {
-	s.mutex.Lock()
-	defer s.mutex.Unlock()
-	return SampleVariance(s.values)
-}
-
-// expDecaySample represents an individual sample in a heap.
-type expDecaySample struct {
-	k float64
-	v int64
-}
-
-// expDecaySampleHeap is a min-heap of expDecaySamples.
-type expDecaySampleHeap []expDecaySample
-
-func (q expDecaySampleHeap) Len() int {
-	return len(q)
-}
-
-func (q expDecaySampleHeap) Less(i, j int) bool {
-	return q[i].k < q[j].k
-}
-
-func (q *expDecaySampleHeap) Pop() interface{} {
-	q_ := *q
-	n := len(q_)
-	i := q_[n-1]
-	q_ = q_[0 : n-1]
-	*q = q_
-	return i
-}
-
-func (q *expDecaySampleHeap) Push(x interface{}) {
-	q_ := *q
-	n := len(q_)
-	q_ = q_[0 : n+1]
-	q_[n] = x.(expDecaySample)
-	*q = q_
-}
-
-func (q expDecaySampleHeap) Swap(i, j int) {
-	q[i], q[j] = q[j], q[i]
-}
-
-type int64Slice []int64
-
-func (p int64Slice) Len() int           { return len(p) }
-func (p int64Slice) Less(i, j int) bool { return p[i] < p[j] }
-func (p int64Slice) Swap(i, j int)      { p[i], p[j] = p[j], p[i] }

third_party/github.com/rcrowley/go-metrics/sample_test.go

@@ -1,321 +0,0 @@
-package metrics
-
-import (
-	"math/rand"
-	"runtime"
-	"testing"
-	"time"
-)
-
-// Benchmark{Compute,Copy}{1000,1000000} demonstrate that, even for relatively
-// expensive computations like Variance, the cost of copying the Sample, as
-// approximated by a make and copy, is much greater than the cost of the
-// computation for small samples and only slightly less for large samples.
-func BenchmarkCompute1000(b *testing.B) {
-	s := make([]int64, 1000)
-	for i := 0; i < len(s); i++ {
-		s[i] = int64(i)
-	}
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		SampleVariance(s)
-	}
-}
-func BenchmarkCompute1000000(b *testing.B) {
-	s := make([]int64, 1000000)
-	for i := 0; i < len(s); i++ {
-		s[i] = int64(i)
-	}
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		SampleVariance(s)
-	}
-}
-func BenchmarkCopy1000(b *testing.B) {
-	s := make([]int64, 1000)
-	for i := 0; i < len(s); i++ {
-		s[i] = int64(i)
-	}
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		sCopy := make([]int64, len(s))
-		copy(sCopy, s)
-	}
-}
-func BenchmarkCopy1000000(b *testing.B) {
-	s := make([]int64, 1000000)
-	for i := 0; i < len(s); i++ {
-		s[i] = int64(i)
-	}
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		sCopy := make([]int64, len(s))
-		copy(sCopy, s)
-	}
-}
-
-func BenchmarkExpDecaySample257(b *testing.B) {
-	benchmarkSample(b, NewExpDecaySample(257, 0.015))
-}
-
-func BenchmarkExpDecaySample514(b *testing.B) {
-	benchmarkSample(b, NewExpDecaySample(514, 0.015))
-}
-
-func BenchmarkExpDecaySample1028(b *testing.B) {
-	benchmarkSample(b, NewExpDecaySample(1028, 0.015))
-}
-
-func BenchmarkUniformSample257(b *testing.B) {
-	benchmarkSample(b, NewUniformSample(257))
-}
-
-func BenchmarkUniformSample514(b *testing.B) {
-	benchmarkSample(b, NewUniformSample(514))
-}
-
-func BenchmarkUniformSample1028(b *testing.B) {
-	benchmarkSample(b, NewUniformSample(1028))
-}
-
-func TestExpDecaySample10(t *testing.T) {
-	rand.Seed(1)
-	s := NewExpDecaySample(100, 0.99)
-	for i := 0; i < 10; i++ {
-		s.Update(int64(i))
-	}
-	if size := s.Count(); 10 != size {
-		t.Errorf("s.Count(): 10 != %v\n", size)
-	}
-	if size := s.Size(); 10 != size {
-		t.Errorf("s.Size(): 10 != %v\n", size)
-	}
-	if l := len(s.Values()); 10 != l {
-		t.Errorf("len(s.Values()): 10 != %v\n", l)
-	}
-	for _, v := range s.Values() {
-		if v > 10 || v < 0 {
-			t.Errorf("out of range [0, 10): %v\n", v)
-		}
-	}
-}
-
-func TestExpDecaySample100(t *testing.T) {
-	rand.Seed(1)
-	s := NewExpDecaySample(1000, 0.01)
-	for i := 0; i < 100; i++ {
-		s.Update(int64(i))
-	}
-	if size := s.Count(); 100 != size {
-		t.Errorf("s.Count(): 100 != %v\n", size)
-	}
-	if size := s.Size(); 100 != size {
-		t.Errorf("s.Size(): 100 != %v\n", size)
-	}
-	if l := len(s.Values()); 100 != l {
-		t.Errorf("len(s.Values()): 100 != %v\n", l)
-	}
-	for _, v := range s.Values() {
-		if v > 100 || v < 0 {
-			t.Errorf("out of range [0, 100): %v\n", v)
-		}
-	}
-}
-
-func TestExpDecaySample1000(t *testing.T) {
-	rand.Seed(1)
-	s := NewExpDecaySample(100, 0.99)
-	for i := 0; i < 1000; i++ {
-		s.Update(int64(i))
-	}
-	if size := s.Count(); 1000 != size {
-		t.Errorf("s.Count(): 1000 != %v\n", size)
-	}
-	if size := s.Size(); 100 != size {
-		t.Errorf("s.Size(): 100 != %v\n", size)
-	}
-	if l := len(s.Values()); 100 != l {
-		t.Errorf("len(s.Values()): 100 != %v\n", l)
-	}
-	for _, v := range s.Values() {
-		if v > 1000 || v < 0 {
-			t.Errorf("out of range [0, 1000): %v\n", v)
-		}
-	}
-}
-
-// This test makes sure that the sample's priority is not amplified by using
-// nanosecond duration since start rather than second duration since start.
-// The priority becomes +Inf quickly after starting if this is done,
-// effectively freezing the set of samples until a rescale step happens.
-func TestExpDecaySampleNanosecondRegression(t *testing.T) {
-	rand.Seed(1)
-	s := NewExpDecaySample(100, 0.99)
-	for i := 0; i < 100; i++ {
-		s.Update(10)
-	}
-	time.Sleep(1 * time.Millisecond)
-	for i := 0; i < 100; i++ {
-		s.Update(20)
-	}
-	v := s.Values()
-	avg := float64(0)
-	for i := 0; i < len(v); i++ {
-		avg += float64(v[i])
-	}
-	avg /= float64(len(v))
-	if avg > 16 || avg < 14 {
-		t.Errorf("out of range [14, 16]: %v\n", avg)
-	}
-}
-
-func TestExpDecaySampleSnapshot(t *testing.T) {
-	now := time.Now()
-	rand.Seed(1)
-	s := NewExpDecaySample(100, 0.99)
-	for i := 1; i <= 10000; i++ {
-		s.(*ExpDecaySample).update(now.Add(time.Duration(i)), int64(i))
-	}
-	snapshot := s.Snapshot()
-	s.Update(1)
-	testExpDecaySampleStatistics(t, snapshot)
-}
-
-func TestExpDecaySampleStatistics(t *testing.T) {
-	now := time.Now()
-	rand.Seed(1)
-	s := NewExpDecaySample(100, 0.99)
-	for i := 1; i <= 10000; i++ {
-		s.(*ExpDecaySample).update(now.Add(time.Duration(i)), int64(i))
-	}
-	testExpDecaySampleStatistics(t, s)
-}
-
-func TestUniformSample(t *testing.T) {
-	rand.Seed(1)
-	s := NewUniformSample(100)
-	for i := 0; i < 1000; i++ {
-		s.Update(int64(i))
-	}
-	if size := s.Count(); 1000 != size {
-		t.Errorf("s.Count(): 1000 != %v\n", size)
-	}
-	if size := s.Size(); 100 != size {
-		t.Errorf("s.Size(): 100 != %v\n", size)
-	}
-	if l := len(s.Values()); 100 != l {
-		t.Errorf("len(s.Values()): 100 != %v\n", l)
-	}
-	for _, v := range s.Values() {
-		if v > 1000 || v < 0 {
-			t.Errorf("out of range [0, 100): %v\n", v)
-		}
-	}
-}
-
-func TestUniformSampleIncludesTail(t *testing.T) {
-	rand.Seed(1)
-	s := NewUniformSample(100)
-	max := 100
-	for i := 0; i < max; i++ {
-		s.Update(int64(i))
-	}
-	v := s.Values()
-	sum := 0
-	exp := (max - 1) * max / 2
-	for i := 0; i < len(v); i++ {
-		sum += int(v[i])
-	}
-	if exp != sum {
-		t.Errorf("sum: %v != %v\n", exp, sum)
-	}
-}
-
-func TestUniformSampleSnapshot(t *testing.T) {
-	s := NewUniformSample(100)
-	for i := 1; i <= 10000; i++ {
-		s.Update(int64(i))
-	}
-	snapshot := s.Snapshot()
-	s.Update(1)
-	testUniformSampleStatistics(t, snapshot)
-}
-
-func TestUniformSampleStatistics(t *testing.T) {
-	rand.Seed(1)
-	s := NewUniformSample(100)
-	for i := 1; i <= 10000; i++ {
-		s.Update(int64(i))
-	}
-	testUniformSampleStatistics(t, s)
-}
-
-func benchmarkSample(b *testing.B, s Sample) {
-	var memStats runtime.MemStats
-	runtime.ReadMemStats(&memStats)
-	pauseTotalNs := memStats.PauseTotalNs
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		s.Update(1)
-	}
-	b.StopTimer()
-	runtime.GC()
-	runtime.ReadMemStats(&memStats)
-	b.Logf("GC cost: %d ns/op", int(memStats.PauseTotalNs-pauseTotalNs)/b.N)
-}
-
-func testExpDecaySampleStatistics(t *testing.T, s Sample) {
-	if count := s.Count(); 10000 != count {
-		t.Errorf("s.Count(): 10000 != %v\n", count)
-	}
-	if min := s.Min(); 107 != min {
-		t.Errorf("s.Min(): 107 != %v\n", min)
-	}
-	if max := s.Max(); 10000 != max {
-		t.Errorf("s.Max(): 10000 != %v\n", max)
-	}
-	if mean := s.Mean(); 4965.98 != mean {
-		t.Errorf("s.Mean(): 4965.98 != %v\n", mean)
-	}
-	if stdDev := s.StdDev(); 2959.825156930727 != stdDev {
-		t.Errorf("s.StdDev(): 2959.825156930727 != %v\n", stdDev)
-	}
-	ps := s.Percentiles([]float64{0.5, 0.75, 0.99})
-	if 4615 != ps[0] {
-		t.Errorf("median: 4615 != %v\n", ps[0])
-	}
-	if 7672 != ps[1] {
-		t.Errorf("75th percentile: 7672 != %v\n", ps[1])
-	}
-	if 9998.99 != ps[2] {
-		t.Errorf("99th percentile: 9998.99 != %v\n", ps[2])
-	}
-}
-
-func testUniformSampleStatistics(t *testing.T, s Sample) {
-	if count := s.Count(); 10000 != count {
-		t.Errorf("s.Count(): 10000 != %v\n", count)
-	}
-	if min := s.Min(); 9412 != min {
-		t.Errorf("s.Min(): 9412 != %v\n", min)
-	}
-	if max := s.Max(); 10000 != max {
-		t.Errorf("s.Max(): 10000 != %v\n", max)
-	}
-	if mean := s.Mean(); 9902.26 != mean {
-		t.Errorf("s.Mean(): 9902.26 != %v\n", mean)
-	}
-	if stdDev := s.StdDev(); 101.8667384380201 != stdDev {
-		t.Errorf("s.StdDev(): 101.8667384380201 != %v\n", stdDev)
-	}
-	ps := s.Percentiles([]float64{0.5, 0.75, 0.99})
-	if 9930.5 != ps[0] {
-		t.Errorf("median: 9930.5 != %v\n", ps[0])
-	}
-	if 9973.75 != ps[1] {
-		t.Errorf("75th percentile: 9973.75 != %v\n", ps[1])
-	}
-	if 9999.99 != ps[2] {
-		t.Errorf("99th percentile: 9999.99 != %v\n", ps[2])
-	}
-}

third_party/github.com/rcrowley/go-metrics/stathat/stathat.go

@@ -1,67 +0,0 @@
-// Metrics output to StatHat.
-package stathat
-
-import (
-	"github.com/coreos/etcd/third_party/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.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
-}

third_party/github.com/rcrowley/go-metrics/syslog.go

@@ -1,77 +0,0 @@
-// +build !windows
-
-package metrics
-
-import (
-	"fmt"
-	"log/syslog"
-	"time"
-)
-
-// Output each metric in the given registry to syslog periodically using
-// the given syslogger.
-func Syslog(r Registry, d time.Duration, w *syslog.Writer) {
-	for {
-		r.Each(func(name string, i interface{}) {
-			switch metric := i.(type) {
-			case Counter:
-				w.Info(fmt.Sprintf("counter %s: count: %d", name, metric.Count()))
-			case Gauge:
-				w.Info(fmt.Sprintf("gauge %s: value: %d", name, metric.Value()))
-			case Healthcheck:
-				metric.Check()
-				w.Info(fmt.Sprintf("healthcheck %s: error: %v", name, metric.Error()))
-			case Histogram:
-				h := metric.Snapshot()
-				ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-				w.Info(fmt.Sprintf(
-					"histogram %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f",
-					name,
-					h.Count(),
-					h.Min(),
-					h.Max(),
-					h.Mean(),
-					h.StdDev(),
-					ps[0],
-					ps[1],
-					ps[2],
-					ps[3],
-					ps[4],
-				))
-			case Meter:
-				m := metric.Snapshot()
-				w.Info(fmt.Sprintf(
-					"meter %s: count: %d 1-min: %.2f 5-min: %.2f 15-min: %.2f mean: %.2f",
-					name,
-					m.Count(),
-					m.Rate1(),
-					m.Rate5(),
-					m.Rate15(),
-					m.RateMean(),
-				))
-			case Timer:
-				t := metric.Snapshot()
-				ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-				w.Info(fmt.Sprintf(
-					"timer %s: count: %d min: %d max: %d mean: %.2f stddev: %.2f median: %.2f 75%%: %.2f 95%%: %.2f 99%%: %.2f 99.9%%: %.2f 1-min: %.2f 5-min: %.2f 15-min: %.2f mean-rate: %.2f",
-					name,
-					t.Count(),
-					t.Min(),
-					t.Max(),
-					t.Mean(),
-					t.StdDev(),
-					ps[0],
-					ps[1],
-					ps[2],
-					ps[3],
-					ps[4],
-					t.Rate1(),
-					t.Rate5(),
-					t.Rate15(),
-					t.RateMean(),
-				))
-			}
-		})
-		time.Sleep(d)
-	}
-}

third_party/github.com/rcrowley/go-metrics/timer.go

@@ -1,299 +0,0 @@
-package metrics
-
-import (
-	"sync"
-	"time"
-)
-
-// Timers capture the duration and rate of events.
-type Timer interface {
-	Count() int64
-	Max() int64
-	Mean() float64
-	Min() int64
-	Percentile(float64) float64
-	Percentiles([]float64) []float64
-	Rate1() float64
-	Rate5() float64
-	Rate15() float64
-	RateMean() float64
-	Snapshot() Timer
-	StdDev() float64
-	Time(func())
-	Update(time.Duration)
-	UpdateSince(time.Time)
-	Variance() float64
-}
-
-// GetOrRegisterTimer returns an existing Timer or constructs and registers a
-// new StandardTimer.
-func GetOrRegisterTimer(name string, r Registry) Timer {
-	if nil == r {
-		r = DefaultRegistry
-	}
-	return r.GetOrRegister(name, NewTimer()).(Timer)
-}
-
-// NewCustomTimer constructs a new StandardTimer from a Histogram and a Meter.
-func NewCustomTimer(h Histogram, m Meter) Timer {
-	if UseNilMetrics {
-		return NilTimer{}
-	}
-	return &StandardTimer{
-		histogram: h,
-		meter:     m,
-	}
-}
-
-// NewRegisteredTimer constructs and registers a new StandardTimer.
-func NewRegisteredTimer(name string, r Registry) Timer {
-	c := NewTimer()
-	if nil == r {
-		r = DefaultRegistry
-	}
-	r.Register(name, c)
-	return c
-}
-
-// NewTimer constructs a new StandardTimer using an exponentially-decaying
-// sample with the same reservoir size and alpha as UNIX load averages.
-func NewTimer() Timer {
-	if UseNilMetrics {
-		return NilTimer{}
-	}
-	return &StandardTimer{
-		histogram: NewHistogram(NewExpDecaySample(1028, 0.015)),
-		meter:     NewMeter(),
-	}
-}
-
-// NilTimer is a no-op Timer.
-type NilTimer struct {
-	h Histogram
-	m Meter
-}
-
-// Count is a no-op.
-func (NilTimer) Count() int64 { return 0 }
-
-// Max is a no-op.
-func (NilTimer) Max() int64 { return 0 }
-
-// Mean is a no-op.
-func (NilTimer) Mean() float64 { return 0.0 }
-
-// Min is a no-op.
-func (NilTimer) Min() int64 { return 0 }
-
-// Percentile is a no-op.
-func (NilTimer) Percentile(p float64) float64 { return 0.0 }
-
-// Percentiles is a no-op.
-func (NilTimer) Percentiles(ps []float64) []float64 {
-	return make([]float64, len(ps))
-}
-
-// Rate1 is a no-op.
-func (NilTimer) Rate1() float64 { return 0.0 }
-
-// Rate5 is a no-op.
-func (NilTimer) Rate5() float64 { return 0.0 }
-
-// Rate15 is a no-op.
-func (NilTimer) Rate15() float64 { return 0.0 }
-
-// RateMean is a no-op.
-func (NilTimer) RateMean() float64 { return 0.0 }
-
-// Snapshot is a no-op.
-func (NilTimer) Snapshot() Timer { return NilTimer{} }
-
-// StdDev is a no-op.
-func (NilTimer) StdDev() float64 { return 0.0 }
-
-// Time is a no-op.
-func (NilTimer) Time(func()) {}
-
-// Update is a no-op.
-func (NilTimer) Update(time.Duration) {}
-
-// UpdateSince is a no-op.
-func (NilTimer) UpdateSince(time.Time) {}
-
-// Variance is a no-op.
-func (NilTimer) Variance() float64 { return 0.0 }
-
-// StandardTimer is the standard implementation of a Timer and uses a Histogram
-// and Meter.
-type StandardTimer struct {
-	histogram Histogram
-	meter     Meter
-	mutex     sync.Mutex
-}
-
-// Count returns the number of events recorded.
-func (t *StandardTimer) Count() int64 {
-	return t.histogram.Count()
-}
-
-// Max returns the maximum value in the sample.
-func (t *StandardTimer) Max() int64 {
-	return t.histogram.Max()
-}
-
-// Mean returns the mean of the values in the sample.
-func (t *StandardTimer) Mean() float64 {
-	return t.histogram.Mean()
-}
-
-// Min returns the minimum value in the sample.
-func (t *StandardTimer) Min() int64 {
-	return t.histogram.Min()
-}
-
-// Percentile returns an arbitrary percentile of the values in the sample.
-func (t *StandardTimer) Percentile(p float64) float64 {
-	return t.histogram.Percentile(p)
-}
-
-// Percentiles returns a slice of arbitrary percentiles of the values in the
-// sample.
-func (t *StandardTimer) Percentiles(ps []float64) []float64 {
-	return t.histogram.Percentiles(ps)
-}
-
-// Rate1 returns the one-minute moving average rate of events per second.
-func (t *StandardTimer) Rate1() float64 {
-	return t.meter.Rate1()
-}
-
-// Rate5 returns the five-minute moving average rate of events per second.
-func (t *StandardTimer) Rate5() float64 {
-	return t.meter.Rate5()
-}
-
-// Rate15 returns the fifteen-minute moving average rate of events per second.
-func (t *StandardTimer) Rate15() float64 {
-	return t.meter.Rate15()
-}
-
-// RateMean returns the meter's mean rate of events per second.
-func (t *StandardTimer) RateMean() float64 {
-	return t.meter.RateMean()
-}
-
-// Snapshot returns a read-only copy of the timer.
-func (t *StandardTimer) Snapshot() Timer {
-	t.mutex.Lock()
-	defer t.mutex.Unlock()
-	return &TimerSnapshot{
-		histogram: t.histogram.Snapshot().(*HistogramSnapshot),
-		meter:     t.meter.Snapshot().(*MeterSnapshot),
-	}
-}
-
-// StdDev returns the standard deviation of the values in the sample.
-func (t *StandardTimer) StdDev() float64 {
-	return t.histogram.StdDev()
-}
-
-// Record the duration of the execution of the given function.
-func (t *StandardTimer) Time(f func()) {
-	ts := time.Now()
-	f()
-	t.Update(time.Since(ts))
-}
-
-// Record the duration of an event.
-func (t *StandardTimer) Update(d time.Duration) {
-	t.mutex.Lock()
-	defer t.mutex.Unlock()
-	t.histogram.Update(int64(d))
-	t.meter.Mark(1)
-}
-
-// Record the duration of an event that started at a time and ends now.
-func (t *StandardTimer) UpdateSince(ts time.Time) {
-	t.mutex.Lock()
-	defer t.mutex.Unlock()
-	t.histogram.Update(int64(time.Since(ts)))
-	t.meter.Mark(1)
-}
-
-// Variance returns the variance of the values in the sample.
-func (t *StandardTimer) Variance() float64 {
-	return t.histogram.Variance()
-}
-
-// TimerSnapshot is a read-only copy of another Timer.
-type TimerSnapshot struct {
-	histogram *HistogramSnapshot
-	meter     *MeterSnapshot
-}
-
-// Count returns the number of events recorded at the time the snapshot was
-// taken.
-func (t *TimerSnapshot) Count() int64 { return t.histogram.Count() }
-
-// Max returns the maximum value at the time the snapshot was taken.
-func (t *TimerSnapshot) Max() int64 { return t.histogram.Max() }
-
-// Mean returns the mean value at the time the snapshot was taken.
-func (t *TimerSnapshot) Mean() float64 { return t.histogram.Mean() }
-
-// Min returns the minimum value at the time the snapshot was taken.
-func (t *TimerSnapshot) Min() int64 { return t.histogram.Min() }
-
-// Percentile returns an arbitrary percentile of sampled values at the time the
-// snapshot was taken.
-func (t *TimerSnapshot) Percentile(p float64) float64 {
-	return t.histogram.Percentile(p)
-}
-
-// Percentiles returns a slice of arbitrary percentiles of sampled values at
-// the time the snapshot was taken.
-func (t *TimerSnapshot) Percentiles(ps []float64) []float64 {
-	return t.histogram.Percentiles(ps)
-}
-
-// Rate1 returns the one-minute moving average rate of events per second at the
-// time the snapshot was taken.
-func (t *TimerSnapshot) Rate1() float64 { return t.meter.Rate1() }
-
-// Rate5 returns the five-minute moving average rate of events per second at
-// the time the snapshot was taken.
-func (t *TimerSnapshot) Rate5() float64 { return t.meter.Rate5() }
-
-// Rate15 returns the fifteen-minute moving average rate of events per second
-// at the time the snapshot was taken.
-func (t *TimerSnapshot) Rate15() float64 { return t.meter.Rate15() }
-
-// RateMean returns the meter's mean rate of events per second at the time the
-// snapshot was taken.
-func (t *TimerSnapshot) RateMean() float64 { return t.meter.RateMean() }
-
-// Snapshot returns the snapshot.
-func (t *TimerSnapshot) Snapshot() Timer { return t }
-
-// StdDev returns the standard deviation of the values at the time the snapshot
-// was taken.
-func (t *TimerSnapshot) StdDev() float64 { return t.histogram.StdDev() }
-
-// Time panics.
-func (*TimerSnapshot) Time(func()) {
-	panic("Time called on a TimerSnapshot")
-}
-
-// Update panics.
-func (*TimerSnapshot) Update(time.Duration) {
-	panic("Update called on a TimerSnapshot")
-}
-
-// UpdateSince panics.
-func (*TimerSnapshot) UpdateSince(time.Time) {
-	panic("UpdateSince called on a TimerSnapshot")
-}
-
-// Variance returns the variance of the values at the time the snapshot was
-// taken.
-func (t *TimerSnapshot) Variance() float64 { return t.histogram.Variance() }

third_party/github.com/rcrowley/go-metrics/timer_test.go

@@ -1,81 +0,0 @@
-package metrics
-
-import (
-	"math"
-	"testing"
-	"time"
-)
-
-func BenchmarkTimer(b *testing.B) {
-	tm := NewTimer()
-	b.ResetTimer()
-	for i := 0; i < b.N; i++ {
-		tm.Update(1)
-	}
-}
-
-func TestGetOrRegisterTimer(t *testing.T) {
-	r := NewRegistry()
-	NewRegisteredTimer("foo", r).Update(47)
-	if tm := GetOrRegisterTimer("foo", r); 1 != tm.Count() {
-		t.Fatal(tm)
-	}
-}
-
-func TestTimerExtremes(t *testing.T) {
-	tm := NewTimer()
-	tm.Update(math.MaxInt64)
-	tm.Update(0)
-	if stdDev := tm.StdDev(); 4.611686018427388e+18 != stdDev {
-		t.Errorf("tm.StdDev(): 4.611686018427388e+18 != %v\n", stdDev)
-	}
-}
-
-func TestTimerFunc(t *testing.T) {
-	tm := NewTimer()
-	tm.Time(func() { time.Sleep(50e6) })
-	if max := tm.Max(); 45e6 > max || max > 55e6 {
-		t.Errorf("tm.Max(): 45e6 > %v || %v > 55e6\n", max, max)
-	}
-}
-
-func TestTimerZero(t *testing.T) {
-	tm := NewTimer()
-	if count := tm.Count(); 0 != count {
-		t.Errorf("tm.Count(): 0 != %v\n", count)
-	}
-	if min := tm.Min(); 0 != min {
-		t.Errorf("tm.Min(): 0 != %v\n", min)
-	}
-	if max := tm.Max(); 0 != max {
-		t.Errorf("tm.Max(): 0 != %v\n", max)
-	}
-	if mean := tm.Mean(); 0.0 != mean {
-		t.Errorf("tm.Mean(): 0.0 != %v\n", mean)
-	}
-	if stdDev := tm.StdDev(); 0.0 != stdDev {
-		t.Errorf("tm.StdDev(): 0.0 != %v\n", stdDev)
-	}
-	ps := tm.Percentiles([]float64{0.5, 0.75, 0.99})
-	if 0.0 != ps[0] {
-		t.Errorf("median: 0.0 != %v\n", ps[0])
-	}
-	if 0.0 != ps[1] {
-		t.Errorf("75th percentile: 0.0 != %v\n", ps[1])
-	}
-	if 0.0 != ps[2] {
-		t.Errorf("99th percentile: 0.0 != %v\n", ps[2])
-	}
-	if rate1 := tm.Rate1(); 0.0 != rate1 {
-		t.Errorf("tm.Rate1(): 0.0 != %v\n", rate1)
-	}
-	if rate5 := tm.Rate5(); 0.0 != rate5 {
-		t.Errorf("tm.Rate5(): 0.0 != %v\n", rate5)
-	}
-	if rate15 := tm.Rate15(); 0.0 != rate15 {
-		t.Errorf("tm.Rate15(): 0.0 != %v\n", rate15)
-	}
-	if rateMean := tm.RateMean(); 0.0 != rateMean {
-		t.Errorf("tm.RateMean(): 0.0 != %v\n", rateMean)
-	}
-}

third_party/github.com/rcrowley/go-metrics/writer.go

@@ -1,73 +0,0 @@
-package metrics
-
-import (
-	"fmt"
-	"io"
-	"time"
-)
-
-// Output each metric in the given registry periodically using the given
-// io.Writer.
-func Write(r Registry, d time.Duration, w io.Writer) {
-	for {
-		WriteOnce(r, w)
-		time.Sleep(d)
-	}
-}
-
-func WriteOnce(r Registry, w io.Writer) {
-	r.Each(func(name string, i interface{}) {
-		switch metric := i.(type) {
-		case Counter:
-			fmt.Fprintf(w, "counter %s\n", name)
-			fmt.Fprintf(w, "  count:       %9d\n", metric.Count())
-		case Gauge:
-			fmt.Fprintf(w, "gauge %s\n", name)
-			fmt.Fprintf(w, "  value:       %9d\n", metric.Value())
-		case Healthcheck:
-			metric.Check()
-			fmt.Fprintf(w, "healthcheck %s\n", name)
-			fmt.Fprintf(w, "  error:       %v\n", metric.Error())
-		case Histogram:
-			h := metric.Snapshot()
-			ps := h.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-			fmt.Fprintf(w, "histogram %s\n", name)
-			fmt.Fprintf(w, "  count:       %9d\n", h.Count())
-			fmt.Fprintf(w, "  min:         %9d\n", h.Min())
-			fmt.Fprintf(w, "  max:         %9d\n", h.Max())
-			fmt.Fprintf(w, "  mean:        %12.2f\n", h.Mean())
-			fmt.Fprintf(w, "  stddev:      %12.2f\n", h.StdDev())
-			fmt.Fprintf(w, "  median:      %12.2f\n", ps[0])
-			fmt.Fprintf(w, "  75%%:         %12.2f\n", ps[1])
-			fmt.Fprintf(w, "  95%%:         %12.2f\n", ps[2])
-			fmt.Fprintf(w, "  99%%:         %12.2f\n", ps[3])
-			fmt.Fprintf(w, "  99.9%%:       %12.2f\n", ps[4])
-		case Meter:
-			m := metric.Snapshot()
-			fmt.Fprintf(w, "meter %s\n", name)
-			fmt.Fprintf(w, "  count:       %9d\n", m.Count())
-			fmt.Fprintf(w, "  1-min rate:  %12.2f\n", m.Rate1())
-			fmt.Fprintf(w, "  5-min rate:  %12.2f\n", m.Rate5())
-			fmt.Fprintf(w, "  15-min rate: %12.2f\n", m.Rate15())
-			fmt.Fprintf(w, "  mean rate:   %12.2f\n", m.RateMean())
-		case Timer:
-			t := metric.Snapshot()
-			ps := t.Percentiles([]float64{0.5, 0.75, 0.95, 0.99, 0.999})
-			fmt.Fprintf(w, "timer %s\n", name)
-			fmt.Fprintf(w, "  count:       %9d\n", t.Count())
-			fmt.Fprintf(w, "  min:         %9d\n", t.Min())
-			fmt.Fprintf(w, "  max:         %9d\n", t.Max())
-			fmt.Fprintf(w, "  mean:        %12.2f\n", t.Mean())
-			fmt.Fprintf(w, "  stddev:      %12.2f\n", t.StdDev())
-			fmt.Fprintf(w, "  median:      %12.2f\n", ps[0])
-			fmt.Fprintf(w, "  75%%:         %12.2f\n", ps[1])
-			fmt.Fprintf(w, "  95%%:         %12.2f\n", ps[2])
-			fmt.Fprintf(w, "  99%%:         %12.2f\n", ps[3])
-			fmt.Fprintf(w, "  99.9%%:       %12.2f\n", ps[4])
-			fmt.Fprintf(w, "  1-min rate:  %12.2f\n", t.Rate1())
-			fmt.Fprintf(w, "  5-min rate:  %12.2f\n", t.Rate5())
-			fmt.Fprintf(w, "  15-min rate: %12.2f\n", t.Rate15())
-			fmt.Fprintf(w, "  mean rate:   %12.2f\n", t.RateMean())
-		}
-	})
-}