Add HashiCorp Nomad provider (#483)

* provider: adding Nomad provider

* updating CONTRIBUTING.md with Nomad provider

* updated README.md by adding the Nomad provider

* fix typo

* adding nomad/api and nomad/testutil deps

* adding Nomad binary dependency for provider tests

* fixed the nomad binary download command step and added tolerations to the nomad provider.

* adding nomad provider demo gif

* adding my name to authors

* adding two missing go-rootcerts files after dep ensure

* delete pod comment
This commit is contained in:
Anubhav Mishra
2019-01-08 01:18:11 +05:30
committed by Robbie Zhang
parent 5796be449b
commit a46e1dd2ce
332 changed files with 126455 additions and 2 deletions

20
vendor/github.com/armon/go-metrics/LICENSE generated vendored Normal file
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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.

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

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vendor/github.com/armon/go-metrics/const_windows.go generated vendored Normal file
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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)
)

348
vendor/github.com/armon/go-metrics/inmem.go generated vendored Normal file
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package metrics
import (
"bytes"
"fmt"
"math"
"net/url"
"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]GaugeValue
// 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]SampledValue
// Samples maps the key to an AggregateSample,
// which has the rolled up view of a sample
Samples map[string]SampledValue
}
// NewIntervalMetrics creates a new IntervalMetrics for a given interval
func NewIntervalMetrics(intv time.Time) *IntervalMetrics {
return &IntervalMetrics{
Interval: intv,
Gauges: make(map[string]GaugeValue),
Points: make(map[string][]float32),
Counters: make(map[string]SampledValue),
Samples: make(map[string]SampledValue),
}
}
// AggregateSample is used to hold aggregate metrics
// about a sample
type AggregateSample struct {
Count int // The count of emitted pairs
Rate float64 // The values rate per time unit (usually 1 second)
Sum float64 // The sum of values
SumSq float64 `json:"-"` // The sum of squared values
Min float64 // Minimum value
Max float64 // Maximum value
LastUpdated time.Time `json:"-"` // 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.Sum) / 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)
}
}
// NewInmemSinkFromURL creates an InmemSink from a URL. It is used
// (and tested) from NewMetricSinkFromURL.
func NewInmemSinkFromURL(u *url.URL) (MetricSink, error) {
params := u.Query()
interval, err := time.ParseDuration(params.Get("interval"))
if err != nil {
return nil, fmt.Errorf("Bad 'interval' param: %s", err)
}
retain, err := time.ParseDuration(params.Get("retain"))
if err != nil {
return nil, fmt.Errorf("Bad 'retain' param: %s", err)
}
return NewInmemSink(interval, retain), nil
}
// 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) {
i.SetGaugeWithLabels(key, val, nil)
}
func (i *InmemSink) SetGaugeWithLabels(key []string, val float32, labels []Label) {
k, name := i.flattenKeyLabels(key, labels)
intv := i.getInterval()
intv.Lock()
defer intv.Unlock()
intv.Gauges[k] = GaugeValue{Name: name, Value: val, Labels: labels}
}
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) {
i.IncrCounterWithLabels(key, val, nil)
}
func (i *InmemSink) IncrCounterWithLabels(key []string, val float32, labels []Label) {
k, name := i.flattenKeyLabels(key, labels)
intv := i.getInterval()
intv.Lock()
defer intv.Unlock()
agg, ok := intv.Counters[k]
if !ok {
agg = SampledValue{
Name: name,
AggregateSample: &AggregateSample{},
Labels: labels,
}
intv.Counters[k] = agg
}
agg.Ingest(float64(val), i.rateDenom)
}
func (i *InmemSink) AddSample(key []string, val float32) {
i.AddSampleWithLabels(key, val, nil)
}
func (i *InmemSink) AddSampleWithLabels(key []string, val float32, labels []Label) {
k, name := i.flattenKeyLabels(key, labels)
intv := i.getInterval()
intv.Lock()
defer intv.Unlock()
agg, ok := intv.Samples[k]
if !ok {
agg = SampledValue{
Name: name,
AggregateSample: &AggregateSample{},
Labels: labels,
}
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()
n := len(i.intervals)
intervals := make([]*IntervalMetrics, n)
copy(intervals[:n-1], i.intervals[:n-1])
current := i.intervals[n-1]
// make its own copy for current interval
intervals[n-1] = &IntervalMetrics{}
copyCurrent := intervals[n-1]
current.RLock()
*copyCurrent = *current
copyCurrent.Gauges = make(map[string]GaugeValue, len(current.Gauges))
for k, v := range current.Gauges {
copyCurrent.Gauges[k] = v
}
// saved values will be not change, just copy its link
copyCurrent.Points = make(map[string][]float32, len(current.Points))
for k, v := range current.Points {
copyCurrent.Points[k] = v
}
copyCurrent.Counters = make(map[string]SampledValue, len(current.Counters))
for k, v := range current.Counters {
copyCurrent.Counters[k] = v
}
copyCurrent.Samples = make(map[string]SampledValue, len(current.Samples))
for k, v := range current.Samples {
copyCurrent.Samples[k] = v
}
current.RUnlock()
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 {
buf := &bytes.Buffer{}
replacer := strings.NewReplacer(" ", "_")
if len(parts) > 0 {
replacer.WriteString(buf, parts[0])
}
for _, part := range parts[1:] {
replacer.WriteString(buf, ".")
replacer.WriteString(buf, part)
}
return buf.String()
}
// Flattens the key for formatting along with its labels, removes spaces
func (i *InmemSink) flattenKeyLabels(parts []string, labels []Label) (string, string) {
buf := &bytes.Buffer{}
replacer := strings.NewReplacer(" ", "_")
if len(parts) > 0 {
replacer.WriteString(buf, parts[0])
}
for _, part := range parts[1:] {
replacer.WriteString(buf, ".")
replacer.WriteString(buf, part)
}
key := buf.String()
for _, label := range labels {
replacer.WriteString(buf, fmt.Sprintf(";%s=%s", label.Name, label.Value))
}
return buf.String(), key
}

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vendor/github.com/armon/go-metrics/inmem_endpoint.go generated vendored Normal file
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package metrics
import (
"fmt"
"net/http"
"sort"
"time"
)
// MetricsSummary holds a roll-up of metrics info for a given interval
type MetricsSummary struct {
Timestamp string
Gauges []GaugeValue
Points []PointValue
Counters []SampledValue
Samples []SampledValue
}
type GaugeValue struct {
Name string
Hash string `json:"-"`
Value float32
Labels []Label `json:"-"`
DisplayLabels map[string]string `json:"Labels"`
}
type PointValue struct {
Name string
Points []float32
}
type SampledValue struct {
Name string
Hash string `json:"-"`
*AggregateSample
Mean float64
Stddev float64
Labels []Label `json:"-"`
DisplayLabels map[string]string `json:"Labels"`
}
// DisplayMetrics returns a summary of the metrics from the most recent finished interval.
func (i *InmemSink) DisplayMetrics(resp http.ResponseWriter, req *http.Request) (interface{}, error) {
data := i.Data()
var interval *IntervalMetrics
n := len(data)
switch {
case n == 0:
return nil, fmt.Errorf("no metric intervals have been initialized yet")
case n == 1:
// Show the current interval if it's all we have
interval = i.intervals[0]
default:
// Show the most recent finished interval if we have one
interval = i.intervals[n-2]
}
summary := MetricsSummary{
Timestamp: interval.Interval.Round(time.Second).UTC().String(),
Gauges: make([]GaugeValue, 0, len(interval.Gauges)),
Points: make([]PointValue, 0, len(interval.Points)),
}
// Format and sort the output of each metric type, so it gets displayed in a
// deterministic order.
for name, points := range interval.Points {
summary.Points = append(summary.Points, PointValue{name, points})
}
sort.Slice(summary.Points, func(i, j int) bool {
return summary.Points[i].Name < summary.Points[j].Name
})
for hash, value := range interval.Gauges {
value.Hash = hash
value.DisplayLabels = make(map[string]string)
for _, label := range value.Labels {
value.DisplayLabels[label.Name] = label.Value
}
value.Labels = nil
summary.Gauges = append(summary.Gauges, value)
}
sort.Slice(summary.Gauges, func(i, j int) bool {
return summary.Gauges[i].Hash < summary.Gauges[j].Hash
})
summary.Counters = formatSamples(interval.Counters)
summary.Samples = formatSamples(interval.Samples)
return summary, nil
}
func formatSamples(source map[string]SampledValue) []SampledValue {
output := make([]SampledValue, 0, len(source))
for hash, sample := range source {
displayLabels := make(map[string]string)
for _, label := range sample.Labels {
displayLabels[label.Name] = label.Value
}
output = append(output, SampledValue{
Name: sample.Name,
Hash: hash,
AggregateSample: sample.AggregateSample,
Mean: sample.AggregateSample.Mean(),
Stddev: sample.AggregateSample.Stddev(),
DisplayLabels: displayLabels,
})
}
sort.Slice(output, func(i, j int) bool {
return output[i].Hash < output[j].Hash
})
return output
}

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vendor/github.com/armon/go-metrics/inmem_signal.go generated vendored Normal file
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package metrics
import (
"bytes"
"fmt"
"io"
"os"
"os/signal"
"strings"
"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 j := 0; j < len(data)-1; j++ {
intv := data[j]
intv.RLock()
for _, val := range intv.Gauges {
name := i.flattenLabels(val.Name, val.Labels)
fmt.Fprintf(buf, "[%v][G] '%s': %0.3f\n", intv.Interval, name, val.Value)
}
for name, vals := range intv.Points {
for _, val := range vals {
fmt.Fprintf(buf, "[%v][P] '%s': %0.3f\n", intv.Interval, name, val)
}
}
for _, agg := range intv.Counters {
name := i.flattenLabels(agg.Name, agg.Labels)
fmt.Fprintf(buf, "[%v][C] '%s': %s\n", intv.Interval, name, agg.AggregateSample)
}
for _, agg := range intv.Samples {
name := i.flattenLabels(agg.Name, agg.Labels)
fmt.Fprintf(buf, "[%v][S] '%s': %s\n", intv.Interval, name, agg.AggregateSample)
}
intv.RUnlock()
}
// Write out the bytes
i.w.Write(buf.Bytes())
}
// Flattens the key for formatting along with its labels, removes spaces
func (i *InmemSignal) flattenLabels(name string, labels []Label) string {
buf := bytes.NewBufferString(name)
replacer := strings.NewReplacer(" ", "_", ":", "_")
for _, label := range labels {
replacer.WriteString(buf, ".")
replacer.WriteString(buf, label.Value)
}
return buf.String()
}

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vendor/github.com/armon/go-metrics/metrics.go generated vendored Normal file
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package metrics
import (
"runtime"
"strings"
"time"
"github.com/hashicorp/go-immutable-radix"
)
type Label struct {
Name string
Value string
}
func (m *Metrics) SetGauge(key []string, val float32) {
m.SetGaugeWithLabels(key, val, nil)
}
func (m *Metrics) SetGaugeWithLabels(key []string, val float32, labels []Label) {
if m.HostName != "" {
if m.EnableHostnameLabel {
labels = append(labels, Label{"host", m.HostName})
} else if m.EnableHostname {
key = insert(0, m.HostName, key)
}
}
if m.EnableTypePrefix {
key = insert(0, "gauge", key)
}
if m.ServiceName != "" {
if m.EnableServiceLabel {
labels = append(labels, Label{"service", m.ServiceName})
} else {
key = insert(0, m.ServiceName, key)
}
}
allowed, labelsFiltered := m.allowMetric(key, labels)
if !allowed {
return
}
m.sink.SetGaugeWithLabels(key, val, labelsFiltered)
}
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)
}
allowed, _ := m.allowMetric(key, nil)
if !allowed {
return
}
m.sink.EmitKey(key, val)
}
func (m *Metrics) IncrCounter(key []string, val float32) {
m.IncrCounterWithLabels(key, val, nil)
}
func (m *Metrics) IncrCounterWithLabels(key []string, val float32, labels []Label) {
if m.HostName != "" && m.EnableHostnameLabel {
labels = append(labels, Label{"host", m.HostName})
}
if m.EnableTypePrefix {
key = insert(0, "counter", key)
}
if m.ServiceName != "" {
if m.EnableServiceLabel {
labels = append(labels, Label{"service", m.ServiceName})
} else {
key = insert(0, m.ServiceName, key)
}
}
allowed, labelsFiltered := m.allowMetric(key, labels)
if !allowed {
return
}
m.sink.IncrCounterWithLabels(key, val, labelsFiltered)
}
func (m *Metrics) AddSample(key []string, val float32) {
m.AddSampleWithLabels(key, val, nil)
}
func (m *Metrics) AddSampleWithLabels(key []string, val float32, labels []Label) {
if m.HostName != "" && m.EnableHostnameLabel {
labels = append(labels, Label{"host", m.HostName})
}
if m.EnableTypePrefix {
key = insert(0, "sample", key)
}
if m.ServiceName != "" {
if m.EnableServiceLabel {
labels = append(labels, Label{"service", m.ServiceName})
} else {
key = insert(0, m.ServiceName, key)
}
}
allowed, labelsFiltered := m.allowMetric(key, labels)
if !allowed {
return
}
m.sink.AddSampleWithLabels(key, val, labelsFiltered)
}
func (m *Metrics) MeasureSince(key []string, start time.Time) {
m.MeasureSinceWithLabels(key, start, nil)
}
func (m *Metrics) MeasureSinceWithLabels(key []string, start time.Time, labels []Label) {
if m.HostName != "" && m.EnableHostnameLabel {
labels = append(labels, Label{"host", m.HostName})
}
if m.EnableTypePrefix {
key = insert(0, "timer", key)
}
if m.ServiceName != "" {
if m.EnableServiceLabel {
labels = append(labels, Label{"service", m.ServiceName})
} else {
key = insert(0, m.ServiceName, key)
}
}
allowed, labelsFiltered := m.allowMetric(key, labels)
if !allowed {
return
}
now := time.Now()
elapsed := now.Sub(start)
msec := float32(elapsed.Nanoseconds()) / float32(m.TimerGranularity)
m.sink.AddSampleWithLabels(key, msec, labelsFiltered)
}
// UpdateFilter overwrites the existing filter with the given rules.
func (m *Metrics) UpdateFilter(allow, block []string) {
m.UpdateFilterAndLabels(allow, block, m.AllowedLabels, m.BlockedLabels)
}
// UpdateFilterAndLabels overwrites the existing filter with the given rules.
func (m *Metrics) UpdateFilterAndLabels(allow, block, allowedLabels, blockedLabels []string) {
m.filterLock.Lock()
defer m.filterLock.Unlock()
m.AllowedPrefixes = allow
m.BlockedPrefixes = block
if allowedLabels == nil {
// Having a white list means we take only elements from it
m.allowedLabels = nil
} else {
m.allowedLabels = make(map[string]bool)
for _, v := range allowedLabels {
m.allowedLabels[v] = true
}
}
m.blockedLabels = make(map[string]bool)
for _, v := range blockedLabels {
m.blockedLabels[v] = true
}
m.AllowedLabels = allowedLabels
m.BlockedLabels = blockedLabels
m.filter = iradix.New()
for _, prefix := range m.AllowedPrefixes {
m.filter, _, _ = m.filter.Insert([]byte(prefix), true)
}
for _, prefix := range m.BlockedPrefixes {
m.filter, _, _ = m.filter.Insert([]byte(prefix), false)
}
}
// labelIsAllowed return true if a should be included in metric
// the caller should lock m.filterLock while calling this method
func (m *Metrics) labelIsAllowed(label *Label) bool {
labelName := (*label).Name
if m.blockedLabels != nil {
_, ok := m.blockedLabels[labelName]
if ok {
// If present, let's remove this label
return false
}
}
if m.allowedLabels != nil {
_, ok := m.allowedLabels[labelName]
return ok
}
// Allow by default
return true
}
// filterLabels return only allowed labels
// the caller should lock m.filterLock while calling this method
func (m *Metrics) filterLabels(labels []Label) []Label {
if labels == nil {
return nil
}
toReturn := labels[:0]
for _, label := range labels {
if m.labelIsAllowed(&label) {
toReturn = append(toReturn, label)
}
}
return toReturn
}
// Returns whether the metric should be allowed based on configured prefix filters
// Also return the applicable labels
func (m *Metrics) allowMetric(key []string, labels []Label) (bool, []Label) {
m.filterLock.RLock()
defer m.filterLock.RUnlock()
if m.filter == nil || m.filter.Len() == 0 {
return m.Config.FilterDefault, m.filterLabels(labels)
}
_, allowed, ok := m.filter.Root().LongestPrefix([]byte(strings.Join(key, ".")))
if !ok {
return m.Config.FilterDefault, m.filterLabels(labels)
}
return allowed.(bool), m.filterLabels(labels)
}
// 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
}

115
vendor/github.com/armon/go-metrics/sink.go generated vendored Normal file
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package metrics
import (
"fmt"
"net/url"
)
// 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)
SetGaugeWithLabels(key []string, val float32, labels []Label)
// Should emit a Key/Value pair for each call
EmitKey(key []string, val float32)
// Counters should accumulate values
IncrCounter(key []string, val float32)
IncrCounterWithLabels(key []string, val float32, labels []Label)
// Samples are for timing information, where quantiles are used
AddSample(key []string, val float32)
AddSampleWithLabels(key []string, val float32, labels []Label)
}
// BlackholeSink is used to just blackhole messages
type BlackholeSink struct{}
func (*BlackholeSink) SetGauge(key []string, val float32) {}
func (*BlackholeSink) SetGaugeWithLabels(key []string, val float32, labels []Label) {}
func (*BlackholeSink) EmitKey(key []string, val float32) {}
func (*BlackholeSink) IncrCounter(key []string, val float32) {}
func (*BlackholeSink) IncrCounterWithLabels(key []string, val float32, labels []Label) {}
func (*BlackholeSink) AddSample(key []string, val float32) {}
func (*BlackholeSink) AddSampleWithLabels(key []string, val float32, labels []Label) {}
// FanoutSink is used to sink to fanout values to multiple sinks
type FanoutSink []MetricSink
func (fh FanoutSink) SetGauge(key []string, val float32) {
fh.SetGaugeWithLabels(key, val, nil)
}
func (fh FanoutSink) SetGaugeWithLabels(key []string, val float32, labels []Label) {
for _, s := range fh {
s.SetGaugeWithLabels(key, val, labels)
}
}
func (fh FanoutSink) EmitKey(key []string, val float32) {
for _, s := range fh {
s.EmitKey(key, val)
}
}
func (fh FanoutSink) IncrCounter(key []string, val float32) {
fh.IncrCounterWithLabels(key, val, nil)
}
func (fh FanoutSink) IncrCounterWithLabels(key []string, val float32, labels []Label) {
for _, s := range fh {
s.IncrCounterWithLabels(key, val, labels)
}
}
func (fh FanoutSink) AddSample(key []string, val float32) {
fh.AddSampleWithLabels(key, val, nil)
}
func (fh FanoutSink) AddSampleWithLabels(key []string, val float32, labels []Label) {
for _, s := range fh {
s.AddSampleWithLabels(key, val, labels)
}
}
// sinkURLFactoryFunc is an generic interface around the *SinkFromURL() function provided
// by each sink type
type sinkURLFactoryFunc func(*url.URL) (MetricSink, error)
// sinkRegistry supports the generic NewMetricSink function by mapping URL
// schemes to metric sink factory functions
var sinkRegistry = map[string]sinkURLFactoryFunc{
"statsd": NewStatsdSinkFromURL,
"statsite": NewStatsiteSinkFromURL,
"inmem": NewInmemSinkFromURL,
}
// NewMetricSinkFromURL allows a generic URL input to configure any of the
// supported sinks. The scheme of the URL identifies the type of the sink, the
// and query parameters are used to set options.
//
// "statsd://" - Initializes a StatsdSink. The host and port are passed through
// as the "addr" of the sink
//
// "statsite://" - Initializes a StatsiteSink. The host and port become the
// "addr" of the sink
//
// "inmem://" - Initializes an InmemSink. The host and port are ignored. The
// "interval" and "duration" query parameters must be specified with valid
// durations, see NewInmemSink for details.
func NewMetricSinkFromURL(urlStr string) (MetricSink, error) {
u, err := url.Parse(urlStr)
if err != nil {
return nil, err
}
sinkURLFactoryFunc := sinkRegistry[u.Scheme]
if sinkURLFactoryFunc == nil {
return nil, fmt.Errorf(
"cannot create metric sink, unrecognized sink name: %q", u.Scheme)
}
return sinkURLFactoryFunc(u)
}

141
vendor/github.com/armon/go-metrics/start.go generated vendored Normal file
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package metrics
import (
"os"
"sync"
"sync/atomic"
"time"
"github.com/hashicorp/go-immutable-radix"
)
// Config is used to configure metrics settings
type Config struct {
ServiceName string // Prefixed with keys to separate services
HostName string // Hostname to use. If not provided and EnableHostname, it will be os.Hostname
EnableHostname bool // Enable prefixing gauge values with hostname
EnableHostnameLabel bool // Enable adding hostname to labels
EnableServiceLabel bool // Enable adding service to labels
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
AllowedPrefixes []string // A list of metric prefixes to allow, with '.' as the separator
BlockedPrefixes []string // A list of metric prefixes to block, with '.' as the separator
AllowedLabels []string // A list of metric labels to allow, with '.' as the separator
BlockedLabels []string // A list of metric labels to block, with '.' as the separator
FilterDefault bool // Whether to allow metrics by default
}
// Metrics represents an instance of a metrics sink that can
// be used to emit
type Metrics struct {
Config
lastNumGC uint32
sink MetricSink
filter *iradix.Tree
allowedLabels map[string]bool
blockedLabels map[string]bool
filterLock sync.RWMutex // Lock filters and allowedLabels/blockedLabels access
}
// Shared global metrics instance
var globalMetrics atomic.Value // *Metrics
func init() {
// Initialize to a blackhole sink to avoid errors
globalMetrics.Store(&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
FilterDefault: true, // Don't filter metrics by default
}
// 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
met.UpdateFilterAndLabels(conf.AllowedPrefixes, conf.BlockedPrefixes, conf.AllowedLabels, conf.BlockedLabels)
// 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.Store(metrics)
}
return metrics, err
}
// Proxy all the methods to the globalMetrics instance
func SetGauge(key []string, val float32) {
globalMetrics.Load().(*Metrics).SetGauge(key, val)
}
func SetGaugeWithLabels(key []string, val float32, labels []Label) {
globalMetrics.Load().(*Metrics).SetGaugeWithLabels(key, val, labels)
}
func EmitKey(key []string, val float32) {
globalMetrics.Load().(*Metrics).EmitKey(key, val)
}
func IncrCounter(key []string, val float32) {
globalMetrics.Load().(*Metrics).IncrCounter(key, val)
}
func IncrCounterWithLabels(key []string, val float32, labels []Label) {
globalMetrics.Load().(*Metrics).IncrCounterWithLabels(key, val, labels)
}
func AddSample(key []string, val float32) {
globalMetrics.Load().(*Metrics).AddSample(key, val)
}
func AddSampleWithLabels(key []string, val float32, labels []Label) {
globalMetrics.Load().(*Metrics).AddSampleWithLabels(key, val, labels)
}
func MeasureSince(key []string, start time.Time) {
globalMetrics.Load().(*Metrics).MeasureSince(key, start)
}
func MeasureSinceWithLabels(key []string, start time.Time, labels []Label) {
globalMetrics.Load().(*Metrics).MeasureSinceWithLabels(key, start, labels)
}
func UpdateFilter(allow, block []string) {
globalMetrics.Load().(*Metrics).UpdateFilter(allow, block)
}
// UpdateFilterAndLabels set allow/block prefixes of metrics while allowedLabels
// and blockedLabels - when not nil - allow filtering of labels in order to
// block/allow globally labels (especially useful when having large number of
// values for a given label). See README.md for more information about usage.
func UpdateFilterAndLabels(allow, block, allowedLabels, blockedLabels []string) {
globalMetrics.Load().(*Metrics).UpdateFilterAndLabels(allow, block, allowedLabels, blockedLabels)
}

184
vendor/github.com/armon/go-metrics/statsd.go generated vendored Normal file
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package metrics
import (
"bytes"
"fmt"
"log"
"net"
"net/url"
"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
}
// NewStatsdSinkFromURL creates an StatsdSink from a URL. It is used
// (and tested) from NewMetricSinkFromURL.
func NewStatsdSinkFromURL(u *url.URL) (MetricSink, error) {
return NewStatsdSink(u.Host)
}
// 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) SetGaugeWithLabels(key []string, val float32, labels []Label) {
flatKey := s.flattenKeyLabels(key, labels)
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) IncrCounterWithLabels(key []string, val float32, labels []Label) {
flatKey := s.flattenKeyLabels(key, labels)
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))
}
func (s *StatsdSink) AddSampleWithLabels(key []string, val float32, labels []Label) {
flatKey := s.flattenKeyLabels(key, labels)
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)
}
// Flattens the key along with labels for formatting, removes spaces
func (s *StatsdSink) flattenKeyLabels(parts []string, labels []Label) string {
for _, label := range labels {
parts = append(parts, label.Value)
}
return s.flattenKey(parts)
}
// 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
}

172
vendor/github.com/armon/go-metrics/statsite.go generated vendored Normal file
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package metrics
import (
"bufio"
"fmt"
"log"
"net"
"net/url"
"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
)
// NewStatsiteSinkFromURL creates an StatsiteSink from a URL. It is used
// (and tested) from NewMetricSinkFromURL.
func NewStatsiteSinkFromURL(u *url.URL) (MetricSink, error) {
return NewStatsiteSink(u.Host)
}
// 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) SetGaugeWithLabels(key []string, val float32, labels []Label) {
flatKey := s.flattenKeyLabels(key, labels)
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) IncrCounterWithLabels(key []string, val float32, labels []Label) {
flatKey := s.flattenKeyLabels(key, labels)
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))
}
func (s *StatsiteSink) AddSampleWithLabels(key []string, val float32, labels []Label) {
flatKey := s.flattenKeyLabels(key, labels)
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)
}
// Flattens the key along with labels for formatting, removes spaces
func (s *StatsiteSink) flattenKeyLabels(parts []string, labels []Label) string {
for _, label := range labels {
parts = append(parts, label.Value)
}
return s.flattenKey(parts)
}
// 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
}