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vendor: rm github.com/armon/go-metrics

This commit is contained in:
Joseph Anthony Pasquale Holsten 2017-08-04 13:22:52 -07:00 committed by Joseph Holsten
parent 3db3502487
commit 05ce58279e
12 changed files with 0 additions and 1030 deletions
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20
vendor/github.com/armon/go-metrics/LICENSE generated vendored
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The MIT License (MIT)
Copyright (c) 2013 Armon Dadgar
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of
the Software, and to permit persons to whom the Software is furnished to do so,
subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS
FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR
COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER
IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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vendor/github.com/armon/go-metrics/README.md generated vendored
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go-metrics
==========
This library provides a `metrics` package which can be used to instrument code,
expose application metrics, and profile runtime performance in a flexible manner.
Current API: [![GoDoc](https://godoc.org/github.com/armon/go-metrics?status.svg)](https://godoc.org/github.com/armon/go-metrics)
Sinks
=====
The `metrics` package makes use of a `MetricSink` interface to support delivery
to any type of backend. Currently the following sinks are provided:
* StatsiteSink : Sinks to a [statsite](https://github.com/armon/statsite/) instance (TCP)
* StatsdSink: Sinks to a [StatsD](https://github.com/etsy/statsd/) / statsite instance (UDP)
* PrometheusSink: Sinks to a [Prometheus](http://prometheus.io/) metrics endpoint (exposed via HTTP for scrapes)
* InmemSink : Provides in-memory aggregation, can be used to export stats
* FanoutSink : Sinks to multiple sinks. Enables writing to multiple statsite instances for example.
* BlackholeSink : Sinks to nowhere
In addition to the sinks, the `InmemSignal` can be used to catch a signal,
and dump a formatted output of recent metrics. For example, when a process gets
a SIGUSR1, it can dump to stderr recent performance metrics for debugging.
Examples
========
Here is an example of using the package:
```go
func SlowMethod() {
// Profiling the runtime of a method
defer metrics.MeasureSince([]string{"SlowMethod"}, time.Now())
}
// Configure a statsite sink as the global metrics sink
sink, _ := metrics.NewStatsiteSink("statsite:8125")
metrics.NewGlobal(metrics.DefaultConfig("service-name"), sink)
// Emit a Key/Value pair
metrics.EmitKey([]string{"questions", "meaning of life"}, 42)
```
Here is an example of setting up a signal handler:
```go
// Setup the inmem sink and signal handler
inm := metrics.NewInmemSink(10*time.Second, time.Minute)
sig := metrics.DefaultInmemSignal(inm)
metrics.NewGlobal(metrics.DefaultConfig("service-name"), inm)
// Run some code
inm.SetGauge([]string{"foo"}, 42)
inm.EmitKey([]string{"bar"}, 30)
inm.IncrCounter([]string{"baz"}, 42)
inm.IncrCounter([]string{"baz"}, 1)
inm.IncrCounter([]string{"baz"}, 80)
inm.AddSample([]string{"method", "wow"}, 42)
inm.AddSample([]string{"method", "wow"}, 100)
inm.AddSample([]string{"method", "wow"}, 22)
....
```
When a signal comes in, output like the following will be dumped to stderr:
[2014-01-28 14:57:33.04 -0800 PST][G] 'foo': 42.000
[2014-01-28 14:57:33.04 -0800 PST][P] 'bar': 30.000
[2014-01-28 14:57:33.04 -0800 PST][C] 'baz': Count: 3 Min: 1.000 Mean: 41.000 Max: 80.000 Stddev: 39.509
[2014-01-28 14:57:33.04 -0800 PST][S] 'method.wow': Count: 3 Min: 22.000 Mean: 54.667 Max: 100.000 Stddev: 40.513

12
vendor/github.com/armon/go-metrics/const_unix.go generated vendored
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// +build !windows
package metrics
import (
"syscall"
)
const (
// DefaultSignal is used with DefaultInmemSignal
DefaultSignal = syscall.SIGUSR1
)

13
vendor/github.com/armon/go-metrics/const_windows.go generated vendored
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// +build windows
package metrics
import (
"syscall"
)
const (
// DefaultSignal is used with DefaultInmemSignal
// Windows has no SIGUSR1, use SIGBREAK
DefaultSignal = syscall.Signal(21)
)

247
vendor/github.com/armon/go-metrics/inmem.go generated vendored
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package metrics
import (
"fmt"
"math"
"strings"
"sync"
"time"
)
// InmemSink provides a MetricSink that does in-memory aggregation
// without sending metrics over a network. It can be embedded within
// an application to provide profiling information.
type InmemSink struct {
// How long is each aggregation interval
interval time.Duration
// Retain controls how many metrics interval we keep
retain time.Duration
// maxIntervals is the maximum length of intervals.
// It is retain / interval.
maxIntervals int
// intervals is a slice of the retained intervals
intervals []*IntervalMetrics
intervalLock sync.RWMutex
rateDenom float64
}
// IntervalMetrics stores the aggregated metrics
// for a specific interval
type IntervalMetrics struct {
sync.RWMutex
// The start time of the interval
Interval time.Time
// Gauges maps the key to the last set value
Gauges map[string]float32
// Points maps the string to the list of emitted values
// from EmitKey
Points map[string][]float32
// Counters maps the string key to a sum of the counter
// values
Counters map[string]*AggregateSample
// Samples maps the key to an AggregateSample,
// which has the rolled up view of a sample
Samples map[string]*AggregateSample
}
// NewIntervalMetrics creates a new IntervalMetrics for a given interval
func NewIntervalMetrics(intv time.Time) *IntervalMetrics {
return &IntervalMetrics{
Interval: intv,
Gauges: make(map[string]float32),
Points: make(map[string][]float32),
Counters: make(map[string]*AggregateSample),
Samples: make(map[string]*AggregateSample),
}
}
// AggregateSample is used to hold aggregate metrics
// about a sample
type AggregateSample struct {
Count int // The count of emitted pairs
Rate float64 // The count of emitted pairs per time unit (usually 1 second)
Sum float64 // The sum of values
SumSq float64 // The sum of squared values
Min float64 // Minimum value
Max float64 // Maximum value
LastUpdated time.Time // When value was last updated
}
// Computes a Stddev of the values
func (a *AggregateSample) Stddev() float64 {
num := (float64(a.Count) * a.SumSq) - math.Pow(a.Sum, 2)
div := float64(a.Count * (a.Count - 1))
if div == 0 {
return 0
}
return math.Sqrt(num / div)
}
// Computes a mean of the values
func (a *AggregateSample) Mean() float64 {
if a.Count == 0 {
return 0
}
return a.Sum / float64(a.Count)
}
// Ingest is used to update a sample
func (a *AggregateSample) Ingest(v float64, rateDenom float64) {
a.Count++
a.Sum += v
a.SumSq += (v * v)
if v < a.Min || a.Count == 1 {
a.Min = v
}
if v > a.Max || a.Count == 1 {
a.Max = v
}
a.Rate = float64(a.Count)/rateDenom
a.LastUpdated = time.Now()
}
func (a *AggregateSample) String() string {
if a.Count == 0 {
return "Count: 0"
} else if a.Stddev() == 0 {
return fmt.Sprintf("Count: %d Sum: %0.3f LastUpdated: %s", a.Count, a.Sum, a.LastUpdated)
} else {
return fmt.Sprintf("Count: %d Min: %0.3f Mean: %0.3f Max: %0.3f Stddev: %0.3f Sum: %0.3f LastUpdated: %s",
a.Count, a.Min, a.Mean(), a.Max, a.Stddev(), a.Sum, a.LastUpdated)
}
}
// NewInmemSink is used to construct a new in-memory sink.
// Uses an aggregation interval and maximum retention period.
func NewInmemSink(interval, retain time.Duration) *InmemSink {
rateTimeUnit := time.Second
i := &InmemSink{
interval: interval,
retain: retain,
maxIntervals: int(retain / interval),
rateDenom: float64(interval.Nanoseconds()) / float64(rateTimeUnit.Nanoseconds()),
}
i.intervals = make([]*IntervalMetrics, 0, i.maxIntervals)
return i
}
func (i *InmemSink) SetGauge(key []string, val float32) {
k := i.flattenKey(key)
intv := i.getInterval()
intv.Lock()
defer intv.Unlock()
intv.Gauges[k] = val
}
func (i *InmemSink) EmitKey(key []string, val float32) {
k := i.flattenKey(key)
intv := i.getInterval()
intv.Lock()
defer intv.Unlock()
vals := intv.Points[k]
intv.Points[k] = append(vals, val)
}
func (i *InmemSink) IncrCounter(key []string, val float32) {
k := i.flattenKey(key)
intv := i.getInterval()
intv.Lock()
defer intv.Unlock()
agg := intv.Counters[k]
if agg == nil {
agg = &AggregateSample{}
intv.Counters[k] = agg
}
agg.Ingest(float64(val), i.rateDenom)
}
func (i *InmemSink) AddSample(key []string, val float32) {
k := i.flattenKey(key)
intv := i.getInterval()
intv.Lock()
defer intv.Unlock()
agg := intv.Samples[k]
if agg == nil {
agg = &AggregateSample{}
intv.Samples[k] = agg
}
agg.Ingest(float64(val), i.rateDenom)
}
// Data is used to retrieve all the aggregated metrics
// Intervals may be in use, and a read lock should be acquired
func (i *InmemSink) Data() []*IntervalMetrics {
// Get the current interval, forces creation
i.getInterval()
i.intervalLock.RLock()
defer i.intervalLock.RUnlock()
intervals := make([]*IntervalMetrics, len(i.intervals))
copy(intervals, i.intervals)
return intervals
}
func (i *InmemSink) getExistingInterval(intv time.Time) *IntervalMetrics {
i.intervalLock.RLock()
defer i.intervalLock.RUnlock()
n := len(i.intervals)
if n > 0 && i.intervals[n-1].Interval == intv {
return i.intervals[n-1]
}
return nil
}
func (i *InmemSink) createInterval(intv time.Time) *IntervalMetrics {
i.intervalLock.Lock()
defer i.intervalLock.Unlock()
// Check for an existing interval
n := len(i.intervals)
if n > 0 && i.intervals[n-1].Interval == intv {
return i.intervals[n-1]
}
// Add the current interval
current := NewIntervalMetrics(intv)
i.intervals = append(i.intervals, current)
n++
// Truncate the intervals if they are too long
if n >= i.maxIntervals {
copy(i.intervals[0:], i.intervals[n-i.maxIntervals:])
i.intervals = i.intervals[:i.maxIntervals]
}
return current
}
// getInterval returns the current interval to write to
func (i *InmemSink) getInterval() *IntervalMetrics {
intv := time.Now().Truncate(i.interval)
if m := i.getExistingInterval(intv); m != nil {
return m
}
return i.createInterval(intv)
}
// Flattens the key for formatting, removes spaces
func (i *InmemSink) flattenKey(parts []string) string {
joined := strings.Join(parts, ".")
return strings.Replace(joined, " ", "_", -1)
}

100
vendor/github.com/armon/go-metrics/inmem_signal.go generated vendored
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package metrics
import (
"bytes"
"fmt"
"io"
"os"
"os/signal"
"sync"
"syscall"
)
// InmemSignal is used to listen for a given signal, and when received,
// to dump the current metrics from the InmemSink to an io.Writer
type InmemSignal struct {
signal syscall.Signal
inm *InmemSink
w io.Writer
sigCh chan os.Signal
stop bool
stopCh chan struct{}
stopLock sync.Mutex
}
// NewInmemSignal creates a new InmemSignal which listens for a given signal,
// and dumps the current metrics out to a writer
func NewInmemSignal(inmem *InmemSink, sig syscall.Signal, w io.Writer) *InmemSignal {
i := &InmemSignal{
signal: sig,
inm: inmem,
w: w,
sigCh: make(chan os.Signal, 1),
stopCh: make(chan struct{}),
}
signal.Notify(i.sigCh, sig)
go i.run()
return i
}
// DefaultInmemSignal returns a new InmemSignal that responds to SIGUSR1
// and writes output to stderr. Windows uses SIGBREAK
func DefaultInmemSignal(inmem *InmemSink) *InmemSignal {
return NewInmemSignal(inmem, DefaultSignal, os.Stderr)
}
// Stop is used to stop the InmemSignal from listening
func (i *InmemSignal) Stop() {
i.stopLock.Lock()
defer i.stopLock.Unlock()
if i.stop {
return
}
i.stop = true
close(i.stopCh)
signal.Stop(i.sigCh)
}
// run is a long running routine that handles signals
func (i *InmemSignal) run() {
for {
select {
case <-i.sigCh:
i.dumpStats()
case <-i.stopCh:
return
}
}
}
// dumpStats is used to dump the data to output writer
func (i *InmemSignal) dumpStats() {
buf := bytes.NewBuffer(nil)
data := i.inm.Data()
// Skip the last period which is still being aggregated
for i := 0; i < len(data)-1; i++ {
intv := data[i]
intv.RLock()
for name, val := range intv.Gauges {
fmt.Fprintf(buf, "[%v][G] '%s': %0.3f\n", intv.Interval, name, val)
}
for name, vals := range intv.Points {
for _, val := range vals {
fmt.Fprintf(buf, "[%v][P] '%s': %0.3f\n", intv.Interval, name, val)
}
}
for name, agg := range intv.Counters {
fmt.Fprintf(buf, "[%v][C] '%s': %s\n", intv.Interval, name, agg)
}
for name, agg := range intv.Samples {
fmt.Fprintf(buf, "[%v][S] '%s': %s\n", intv.Interval, name, agg)
}
intv.RUnlock()
}
// Write out the bytes
i.w.Write(buf.Bytes())
}

115
vendor/github.com/armon/go-metrics/metrics.go generated vendored
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package metrics
import (
"runtime"
"time"
)
func (m *Metrics) SetGauge(key []string, val float32) {
if m.HostName != "" && m.EnableHostname {
key = insert(0, m.HostName, key)
}
if m.EnableTypePrefix {
key = insert(0, "gauge", key)
}
if m.ServiceName != "" {
key = insert(0, m.ServiceName, key)
}
m.sink.SetGauge(key, val)
}
func (m *Metrics) EmitKey(key []string, val float32) {
if m.EnableTypePrefix {
key = insert(0, "kv", key)
}
if m.ServiceName != "" {
key = insert(0, m.ServiceName, key)
}
m.sink.EmitKey(key, val)
}
func (m *Metrics) IncrCounter(key []string, val float32) {
if m.EnableTypePrefix {
key = insert(0, "counter", key)
}
if m.ServiceName != "" {
key = insert(0, m.ServiceName, key)
}
m.sink.IncrCounter(key, val)
}
func (m *Metrics) AddSample(key []string, val float32) {
if m.EnableTypePrefix {
key = insert(0, "sample", key)
}
if m.ServiceName != "" {
key = insert(0, m.ServiceName, key)
}
m.sink.AddSample(key, val)
}
func (m *Metrics) MeasureSince(key []string, start time.Time) {
if m.EnableTypePrefix {
key = insert(0, "timer", key)
}
if m.ServiceName != "" {
key = insert(0, m.ServiceName, key)
}
now := time.Now()
elapsed := now.Sub(start)
msec := float32(elapsed.Nanoseconds()) / float32(m.TimerGranularity)
m.sink.AddSample(key, msec)
}
// Periodically collects runtime stats to publish
func (m *Metrics) collectStats() {
for {
time.Sleep(m.ProfileInterval)
m.emitRuntimeStats()
}
}
// Emits various runtime statsitics
func (m *Metrics) emitRuntimeStats() {
// Export number of Goroutines
numRoutines := runtime.NumGoroutine()
m.SetGauge([]string{"runtime", "num_goroutines"}, float32(numRoutines))
// Export memory stats
var stats runtime.MemStats
runtime.ReadMemStats(&stats)
m.SetGauge([]string{"runtime", "alloc_bytes"}, float32(stats.Alloc))
m.SetGauge([]string{"runtime", "sys_bytes"}, float32(stats.Sys))
m.SetGauge([]string{"runtime", "malloc_count"}, float32(stats.Mallocs))
m.SetGauge([]string{"runtime", "free_count"}, float32(stats.Frees))
m.SetGauge([]string{"runtime", "heap_objects"}, float32(stats.HeapObjects))
m.SetGauge([]string{"runtime", "total_gc_pause_ns"}, float32(stats.PauseTotalNs))
m.SetGauge([]string{"runtime", "total_gc_runs"}, float32(stats.NumGC))
// Export info about the last few GC runs
num := stats.NumGC
// Handle wrap around
if num < m.lastNumGC {
m.lastNumGC = 0
}
// Ensure we don't scan more than 256
if num-m.lastNumGC >= 256 {
m.lastNumGC = num - 255
}
for i := m.lastNumGC; i < num; i++ {
pause := stats.PauseNs[i%256]
m.AddSample([]string{"runtime", "gc_pause_ns"}, float32(pause))
}
m.lastNumGC = num
}
// Inserts a string value at an index into the slice
func insert(i int, v string, s []string) []string {
s = append(s, "")
copy(s[i+1:], s[i:])
s[i] = v
return s
}

52
vendor/github.com/armon/go-metrics/sink.go generated vendored
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package metrics
// The MetricSink interface is used to transmit metrics information
// to an external system
type MetricSink interface {
// A Gauge should retain the last value it is set to
SetGauge(key []string, val float32)
// Should emit a Key/Value pair for each call
EmitKey(key []string, val float32)
// Counters should accumulate values
IncrCounter(key []string, val float32)
// Samples are for timing information, where quantiles are used
AddSample(key []string, val float32)
}
// BlackholeSink is used to just blackhole messages
type BlackholeSink struct{}
func (*BlackholeSink) SetGauge(key []string, val float32) {}
func (*BlackholeSink) EmitKey(key []string, val float32) {}
func (*BlackholeSink) IncrCounter(key []string, val float32) {}
func (*BlackholeSink) AddSample(key []string, val float32) {}
// FanoutSink is used to sink to fanout values to multiple sinks
type FanoutSink []MetricSink
func (fh FanoutSink) SetGauge(key []string, val float32) {
for _, s := range fh {
s.SetGauge(key, val)
}
}
func (fh FanoutSink) EmitKey(key []string, val float32) {
for _, s := range fh {
s.EmitKey(key, val)
}
}
func (fh FanoutSink) IncrCounter(key []string, val float32) {
for _, s := range fh {
s.IncrCounter(key, val)
}
}
func (fh FanoutSink) AddSample(key []string, val float32) {
for _, s := range fh {
s.AddSample(key, val)
}
}

95
vendor/github.com/armon/go-metrics/start.go generated vendored
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package metrics
import (
"os"
"time"
)
// Config is used to configure metrics settings
type Config struct {
ServiceName string // Prefixed with keys to seperate services
HostName string // Hostname to use. If not provided and EnableHostname, it will be os.Hostname
EnableHostname bool // Enable prefixing gauge values with hostname
EnableRuntimeMetrics bool // Enables profiling of runtime metrics (GC, Goroutines, Memory)
EnableTypePrefix bool // Prefixes key with a type ("counter", "gauge", "timer")
TimerGranularity time.Duration // Granularity of timers.
ProfileInterval time.Duration // Interval to profile runtime metrics
}
// Metrics represents an instance of a metrics sink that can
// be used to emit
type Metrics struct {
Config
lastNumGC uint32
sink MetricSink
}
// Shared global metrics instance
var globalMetrics *Metrics
func init() {
// Initialize to a blackhole sink to avoid errors
globalMetrics = &Metrics{sink: &BlackholeSink{}}
}
// DefaultConfig provides a sane default configuration
func DefaultConfig(serviceName string) *Config {
c := &Config{
ServiceName: serviceName, // Use client provided service
HostName: "",
EnableHostname: true, // Enable hostname prefix
EnableRuntimeMetrics: true, // Enable runtime profiling
EnableTypePrefix: false, // Disable type prefix
TimerGranularity: time.Millisecond, // Timers are in milliseconds
ProfileInterval: time.Second, // Poll runtime every second
}
// Try to get the hostname
name, _ := os.Hostname()
c.HostName = name
return c
}
// New is used to create a new instance of Metrics
func New(conf *Config, sink MetricSink) (*Metrics, error) {
met := &Metrics{}
met.Config = *conf
met.sink = sink
// Start the runtime collector
if conf.EnableRuntimeMetrics {
go met.collectStats()
}
return met, nil
}
// NewGlobal is the same as New, but it assigns the metrics object to be
// used globally as well as returning it.
func NewGlobal(conf *Config, sink MetricSink) (*Metrics, error) {
metrics, err := New(conf, sink)
if err == nil {
globalMetrics = metrics
}
return metrics, err
}
// Proxy all the methods to the globalMetrics instance
func SetGauge(key []string, val float32) {
globalMetrics.SetGauge(key, val)
}
func EmitKey(key []string, val float32) {
globalMetrics.EmitKey(key, val)
}
func IncrCounter(key []string, val float32) {
globalMetrics.IncrCounter(key, val)
}
func AddSample(key []string, val float32) {
globalMetrics.AddSample(key, val)
}
func MeasureSince(key []string, start time.Time) {
globalMetrics.MeasureSince(key, start)
}

154
vendor/github.com/armon/go-metrics/statsd.go generated vendored
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@ -1,154 +0,0 @@
package metrics
import (
"bytes"
"fmt"
"log"
"net"
"strings"
"time"
)
const (
// statsdMaxLen is the maximum size of a packet
// to send to statsd
statsdMaxLen = 1400
)
// StatsdSink provides a MetricSink that can be used
// with a statsite or statsd metrics server. It uses
// only UDP packets, while StatsiteSink uses TCP.
type StatsdSink struct {
addr string
metricQueue chan string
}
// NewStatsdSink is used to create a new StatsdSink
func NewStatsdSink(addr string) (*StatsdSink, error) {
s := &StatsdSink{
addr: addr,
metricQueue: make(chan string, 4096),
}
go s.flushMetrics()
return s, nil
}
// Close is used to stop flushing to statsd
func (s *StatsdSink) Shutdown() {
close(s.metricQueue)
}
func (s *StatsdSink) SetGauge(key []string, val float32) {
flatKey := s.flattenKey(key)
s.pushMetric(fmt.Sprintf("%s:%f|g\n", flatKey, val))
}
func (s *StatsdSink) EmitKey(key []string, val float32) {
flatKey := s.flattenKey(key)
s.pushMetric(fmt.Sprintf("%s:%f|kv\n", flatKey, val))
}
func (s *StatsdSink) IncrCounter(key []string, val float32) {
flatKey := s.flattenKey(key)
s.pushMetric(fmt.Sprintf("%s:%f|c\n", flatKey, val))
}
func (s *StatsdSink) AddSample(key []string, val float32) {
flatKey := s.flattenKey(key)
s.pushMetric(fmt.Sprintf("%s:%f|ms\n", flatKey, val))
}
// Flattens the key for formatting, removes spaces
func (s *StatsdSink) flattenKey(parts []string) string {
joined := strings.Join(parts, ".")
return strings.Map(func(r rune) rune {
switch r {
case ':':
fallthrough
case ' ':
return '_'
default:
return r
}
}, joined)
}
// Does a non-blocking push to the metrics queue
func (s *StatsdSink) pushMetric(m string) {
select {
case s.metricQueue <- m:
default:
}
}
// Flushes metrics
func (s *StatsdSink) flushMetrics() {
var sock net.Conn
var err error
var wait <-chan time.Time
ticker := time.NewTicker(flushInterval)
defer ticker.Stop()
CONNECT:
// Create a buffer
buf := bytes.NewBuffer(nil)
// Attempt to connect
sock, err = net.Dial("udp", s.addr)
if err != nil {
log.Printf("[ERR] Error connecting to statsd! Err: %s", err)
goto WAIT
}
for {
select {
case metric, ok := <-s.metricQueue:
// Get a metric from the queue
if !ok {
goto QUIT
}
// Check if this would overflow the packet size
if len(metric)+buf.Len() > statsdMaxLen {
_, err := sock.Write(buf.Bytes())
buf.Reset()
if err != nil {
log.Printf("[ERR] Error writing to statsd! Err: %s", err)
goto WAIT
}
}
// Append to the buffer
buf.WriteString(metric)
case <-ticker.C:
if buf.Len() == 0 {
continue
}
_, err := sock.Write(buf.Bytes())
buf.Reset()
if err != nil {
log.Printf("[ERR] Error flushing to statsd! Err: %s", err)
goto WAIT
}
}
}
WAIT:
// Wait for a while
wait = time.After(time.Duration(5) * time.Second)
for {
select {
// Dequeue the messages to avoid backlog
case _, ok := <-s.metricQueue:
if !ok {
goto QUIT
}
case <-wait:
goto CONNECT
}
}
QUIT:
s.metricQueue = nil
}

142
vendor/github.com/armon/go-metrics/statsite.go generated vendored
View File

@ -1,142 +0,0 @@
package metrics
import (
"bufio"
"fmt"
"log"
"net"
"strings"
"time"
)
const (
// We force flush the statsite metrics after this period of
// inactivity. Prevents stats from getting stuck in a buffer
// forever.
flushInterval = 100 * time.Millisecond
)
// StatsiteSink provides a MetricSink that can be used with a
// statsite metrics server
type StatsiteSink struct {
addr string
metricQueue chan string
}
// NewStatsiteSink is used to create a new StatsiteSink
func NewStatsiteSink(addr string) (*StatsiteSink, error) {
s := &StatsiteSink{
addr: addr,
metricQueue: make(chan string, 4096),
}
go s.flushMetrics()
return s, nil
}
// Close is used to stop flushing to statsite
func (s *StatsiteSink) Shutdown() {
close(s.metricQueue)
}
func (s *StatsiteSink) SetGauge(key []string, val float32) {
flatKey := s.flattenKey(key)
s.pushMetric(fmt.Sprintf("%s:%f|g\n", flatKey, val))
}
func (s *StatsiteSink) EmitKey(key []string, val float32) {
flatKey := s.flattenKey(key)
s.pushMetric(fmt.Sprintf("%s:%f|kv\n", flatKey, val))
}
func (s *StatsiteSink) IncrCounter(key []string, val float32) {
flatKey := s.flattenKey(key)
s.pushMetric(fmt.Sprintf("%s:%f|c\n", flatKey, val))
}
func (s *StatsiteSink) AddSample(key []string, val float32) {
flatKey := s.flattenKey(key)
s.pushMetric(fmt.Sprintf("%s:%f|ms\n", flatKey, val))
}
// Flattens the key for formatting, removes spaces
func (s *StatsiteSink) flattenKey(parts []string) string {
joined := strings.Join(parts, ".")
return strings.Map(func(r rune) rune {
switch r {
case ':':
fallthrough
case ' ':
return '_'
default:
return r
}
}, joined)
}
// Does a non-blocking push to the metrics queue
func (s *StatsiteSink) pushMetric(m string) {
select {
case s.metricQueue <- m:
default:
}
}
// Flushes metrics
func (s *StatsiteSink) flushMetrics() {
var sock net.Conn
var err error
var wait <-chan time.Time
var buffered *bufio.Writer
ticker := time.NewTicker(flushInterval)
defer ticker.Stop()
CONNECT:
// Attempt to connect
sock, err = net.Dial("tcp", s.addr)
if err != nil {
log.Printf("[ERR] Error connecting to statsite! Err: %s", err)
goto WAIT
}
// Create a buffered writer
buffered = bufio.NewWriter(sock)
for {
select {
case metric, ok := <-s.metricQueue:
// Get a metric from the queue
if !ok {
goto QUIT
}
// Try to send to statsite
_, err := buffered.Write([]byte(metric))
if err != nil {
log.Printf("[ERR] Error writing to statsite! Err: %s", err)
goto WAIT
}
case <-ticker.C:
if err := buffered.Flush(); err != nil {
log.Printf("[ERR] Error flushing to statsite! Err: %s", err)
goto WAIT
}
}
}
WAIT:
// Wait for a while
wait = time.After(time.Duration(5) * time.Second)
for {
select {
// Dequeue the messages to avoid backlog
case _, ok := <-s.metricQueue:
if !ok {
goto QUIT
}
case <-wait:
goto CONNECT
}
}
QUIT:
s.metricQueue = nil
}

6
vendor/vendor.json vendored
View File

@ -105,12 +105,6 @@
"revision": "bbbad097214e2918d8543d5201d12bfd7bca254d",
"revisionTime": "2015-08-27T00:49:46Z"
},
{
"checksumSHA1": "YfhpW3cu1CHWX7lUCRparOJ6Vy4=",
"path": "github.com/armon/go-metrics",
"revision": "93f237eba9b0602f3e73710416558854a81d9337",
"revisionTime": "2017-01-14T13:47:37Z"
},
{
"checksumSHA1": "gNO0JNpLzYOdInGeq7HqMZUzx9M=",
"path": "github.com/armon/go-radix",