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Commit 8ec89aa4 authored by Miek Gieben's avatar Miek Gieben Committed by GitHub
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Stop vendoring prometheus (#1333) 

* Stop vendoring prometheus

* Fix make
parent 99047aee
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Gopkg.lock
View file @ 8ec89aa4
...@@ -31,12 +31,6 @@ ...@@ -31,12 +31,6 @@
revision = "521b25f4b05fd26bec69d9dedeb8f9c9a83939a8" revision = "521b25f4b05fd26bec69d9dedeb8f9c9a83939a8"
version = "v8" version = "v8"
[[projects]]
branch = "master"
name = "github.com/beorn7/perks"
packages = ["quantile"]
revision = "4c0e84591b9aa9e6dcfdf3e020114cd81f89d5f9"
[[projects]] [[projects]]
name = "github.com/coreos/etcd" name = "github.com/coreos/etcd"
packages = ["client","pkg/pathutil","pkg/srv","pkg/types","version"] packages = ["client","pkg/pathutil","pkg/srv","pkg/types","version"]
...@@ -277,12 +271,6 @@ ...@@ -277,12 +271,6 @@
revision = "f051bb7f1d1aaf1b5a665d74fb6b0217712c69f7" revision = "f051bb7f1d1aaf1b5a665d74fb6b0217712c69f7"
version = "v0.1.1" version = "v0.1.1"
[[projects]]
name = "github.com/prometheus/client_golang"
packages = ["prometheus","prometheus/promhttp"]
revision = "c5b7fccd204277076155f10851dad72b76a49317"
version = "v0.8.0"
[[projects]] [[projects]]
branch = "master" branch = "master"
name = "github.com/prometheus/client_model" name = "github.com/prometheus/client_model"
...@@ -295,12 +283,6 @@ ...@@ -295,12 +283,6 @@
packages = ["expfmt","internal/bitbucket.org/ww/goautoneg","model"] packages = ["expfmt","internal/bitbucket.org/ww/goautoneg","model"]
revision = "2e54d0b93cba2fd133edc32211dcc32c06ef72ca" revision = "2e54d0b93cba2fd133edc32211dcc32c06ef72ca"
[[projects]]
branch = "master"
name = "github.com/prometheus/procfs"
packages = [".","xfs"]
revision = "f98634e408857669d61064b283c4cde240622865"
[[projects]] [[projects]]
branch = "master" branch = "master"
name = "github.com/rcrowley/go-metrics" name = "github.com/rcrowley/go-metrics"
...@@ -380,6 +362,6 @@ ...@@ -380,6 +362,6 @@
[solve-meta] [solve-meta]
analyzer-name = "dep" analyzer-name = "dep"
analyzer-version = 1 analyzer-version = 1
inputs-digest = "f6880c7a6161931b90bc7bde132559b79d0a192c1879b3f095107391e2e45c14" inputs-digest = "7449762cfec347014dce97efce332ac6a9bca1c9cbc82418b2bf2e6af6a5d6db"
solver-name = "gps-cdcl" solver-name = "gps-cdcl"
solver-version = 1 solver-version = 1
Gopkg.toml
View file @ 8ec89aa4
...@@ -3,6 +3,8 @@ ignored = [ ...@@ -3,6 +3,8 @@ ignored = [
"github.com/mholt/caddy/caddyfile", "github.com/mholt/caddy/caddyfile",
"github.com/mholt/caddy/startupshutdown", "github.com/mholt/caddy/startupshutdown",
"github.com/miekg/dns", "github.com/miekg/dns",
"github.com/prometheus/client_golang/prometheus",
"github.com/prometheus/client_golang/prometheus/promhttp",
"golang.org/x/net/context", "golang.org/x/net/context",
"golang.org/x/net/context/ctxhttp", "golang.org/x/net/context/ctxhttp",
"golang.org/x/net/http2", "golang.org/x/net/http2",
......
Makefile
View file @ 8ec89aa4
...@@ -26,6 +26,8 @@ testk8s: check ...@@ -26,6 +26,8 @@ testk8s: check
godeps: godeps:
go get github.com/mholt/caddy go get github.com/mholt/caddy
go get github.com/miekg/dns go get github.com/miekg/dns
go get github.com/prometheus/client_golang/prometheus/promhttp
go get github.com/prometheus/client_golang/prometheus
go get golang.org/x/net/context go get golang.org/x/net/context
go get golang.org/x/text go get golang.org/x/text
......
vendor/github.com/beorn7/perks/LICENSE deleted 100644 → 0
View file @ 99047aee
Copyright (C) 2013 Blake Mizerany
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.
vendor/github.com/beorn7/perks/README.md deleted 100644 → 0
View file @ 99047aee
# Perks for Go (golang.org)
Perks contains the Go package quantile that computes approximate quantiles over
an unbounded data stream within low memory and CPU bounds.
For more information and examples, see:
http://godoc.org/github.com/bmizerany/perks
A very special thank you and shout out to Graham Cormode (Rutgers University),
Flip Korn (AT&T Labs–Research), S. Muthukrishnan (Rutgers University), and
Divesh Srivastava (AT&T Labs–Research) for their research and publication of
[Effective Computation of Biased Quantiles over Data Streams](http://www.cs.rutgers.edu/~muthu/bquant.pdf)
Thank you, also:
* Armon Dadgar (@armon)
* Andrew Gerrand (@nf)
* Brad Fitzpatrick (@bradfitz)
* Keith Rarick (@kr)
FAQ:
Q: Why not move the quantile package into the project root?
A: I want to add more packages to perks later.
Copyright (C) 2013 Blake Mizerany
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.
vendor/github.com/beorn7/perks/quantile/bench_test.go deleted 100644 → 0
View file @ 99047aee
package quantile
import (
"testing"
)
func BenchmarkInsertTargeted(b *testing.B) {
b.ReportAllocs()
s := NewTargeted(Targets)
b.ResetTimer()
for i := float64(0); i < float64(b.N); i++ {
s.Insert(i)
}
}
func BenchmarkInsertTargetedSmallEpsilon(b *testing.B) {
s := NewTargeted(TargetsSmallEpsilon)
b.ResetTimer()
for i := float64(0); i < float64(b.N); i++ {
s.Insert(i)
}
}
func BenchmarkInsertBiased(b *testing.B) {
s := NewLowBiased(0.01)
b.ResetTimer()
for i := float64(0); i < float64(b.N); i++ {
s.Insert(i)
}
}
func BenchmarkInsertBiasedSmallEpsilon(b *testing.B) {
s := NewLowBiased(0.0001)
b.ResetTimer()
for i := float64(0); i < float64(b.N); i++ {
s.Insert(i)
}
}
func BenchmarkQuery(b *testing.B) {
s := NewTargeted(Targets)
for i := float64(0); i < 1e6; i++ {
s.Insert(i)
}
b.ResetTimer()
n := float64(b.N)
for i := float64(0); i < n; i++ {
s.Query(i / n)
}
}
func BenchmarkQuerySmallEpsilon(b *testing.B) {
s := NewTargeted(TargetsSmallEpsilon)
for i := float64(0); i < 1e6; i++ {
s.Insert(i)
}
b.ResetTimer()
n := float64(b.N)
for i := float64(0); i < n; i++ {
s.Query(i / n)
}
}
vendor/github.com/beorn7/perks/quantile/example_test.go deleted 100644 → 0
View file @ 99047aee
// +build go1.1
package quantile_test
import (
"bufio"
"fmt"
"log"
"os"
"strconv"
"time"
"github.com/beorn7/perks/quantile"
)
func Example_simple() {
ch := make(chan float64)
go sendFloats(ch)
// Compute the 50th, 90th, and 99th percentile.
q := quantile.NewTargeted(map[float64]float64{
0.50: 0.005,
0.90: 0.001,
0.99: 0.0001,
})
for v := range ch {
q.Insert(v)
}
fmt.Println("perc50:", q.Query(0.50))
fmt.Println("perc90:", q.Query(0.90))
fmt.Println("perc99:", q.Query(0.99))
fmt.Println("count:", q.Count())
// Output:
// perc50: 5
// perc90: 16
// perc99: 223
// count: 2388
}
func Example_mergeMultipleStreams() {
// Scenario:
// We have multiple database shards. On each shard, there is a process
// collecting query response times from the database logs and inserting
// them into a Stream (created via NewTargeted(0.90)), much like the
// Simple example. These processes expose a network interface for us to
// ask them to serialize and send us the results of their
// Stream.Samples so we may Merge and Query them.
//
// NOTES:
// * These sample sets are small, allowing us to get them
// across the network much faster than sending the entire list of data
// points.
//
// * For this to work correctly, we must supply the same quantiles
// a priori the process collecting the samples supplied to NewTargeted,
// even if we do not plan to query them all here.
ch := make(chan quantile.Samples)
getDBQuerySamples(ch)
q := quantile.NewTargeted(map[float64]float64{0.90: 0.001})
for samples := range ch {
q.Merge(samples)
}
fmt.Println("perc90:", q.Query(0.90))
}
func Example_window() {
// Scenario: We want the 90th, 95th, and 99th percentiles for each
// minute.
ch := make(chan float64)
go sendStreamValues(ch)
tick := time.NewTicker(1 * time.Minute)
q := quantile.NewTargeted(map[float64]float64{
0.90: 0.001,
0.95: 0.0005,
0.99: 0.0001,
})
for {
select {
case t := <-tick.C:
flushToDB(t, q.Samples())
q.Reset()
case v := <-ch:
q.Insert(v)
}
}
}
func sendStreamValues(ch chan float64) {
// Use your imagination
}
func flushToDB(t time.Time, samples quantile.Samples) {
// Use your imagination
}
// This is a stub for the above example. In reality this would hit the remote
// servers via http or something like it.
func getDBQuerySamples(ch chan quantile.Samples) {}
func sendFloats(ch chan<- float64) {
f, err := os.Open("exampledata.txt")
if err != nil {
log.Fatal(err)
}
sc := bufio.NewScanner(f)
for sc.Scan() {
b := sc.Bytes()
v, err := strconv.ParseFloat(string(b), 64)
if err != nil {
log.Fatal(err)
}
ch <- v
}
if sc.Err() != nil {
log.Fatal(sc.Err())
}
close(ch)
}
vendor/github.com/beorn7/perks/quantile/exampledata.txt deleted 100644 → 0
View file @ 99047aee
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5
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12
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13
6
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3
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vendor/github.com/beorn7/perks/quantile/stream.go deleted 100644 → 0
View file @ 99047aee
// Package quantile computes approximate quantiles over an unbounded data
// stream within low memory and CPU bounds.
//
// A small amount of accuracy is traded to achieve the above properties.
//
// Multiple streams can be merged before calling Query to generate a single set
// of results. This is meaningful when the streams represent the same type of
// data. See Merge and Samples.
//
// For more detailed information about the algorithm used, see:
//
// Effective Computation of Biased Quantiles over Data Streams
//
// http://www.cs.rutgers.edu/~muthu/bquant.pdf
package quantile
import (
"math"
"sort"
)
// Sample holds an observed value and meta information for compression. JSON
// tags have been added for convenience.
type Sample struct {
Value float64 `json:",string"`
Width float64 `json:",string"`
Delta float64 `json:",string"`
}
// Samples represents a slice of samples. It implements sort.Interface.
type Samples []Sample
func (a Samples) Len() int { return len(a) }
func (a Samples) Less(i, j int) bool { return a[i].Value < a[j].Value }
func (a Samples) Swap(i, j int) { a[i], a[j] = a[j], a[i] }
type invariant func(s *stream, r float64) float64
// NewLowBiased returns an initialized Stream for low-biased quantiles
// (e.g. 0.01, 0.1, 0.5) where the needed quantiles are not known a priori, but
// error guarantees can still be given even for the lower ranks of the data
// distribution.
//
// The provided epsilon is a relative error, i.e. the true quantile of a value
// returned by a query is guaranteed to be within (1±Epsilon)*Quantile.
//
// See http://www.cs.rutgers.edu/~muthu/bquant.pdf for time, space, and error
// properties.
func NewLowBiased(epsilon float64) *Stream {
ƒ := func(s *stream, r float64) float64 {
return 2 * epsilon * r
}
return newStream(ƒ)
}
// NewHighBiased returns an initialized Stream for high-biased quantiles
// (e.g. 0.01, 0.1, 0.5) where the needed quantiles are not known a priori, but
// error guarantees can still be given even for the higher ranks of the data
// distribution.
//
// The provided epsilon is a relative error, i.e. the true quantile of a value
// returned by a query is guaranteed to be within 1-(1±Epsilon)*(1-Quantile).
//
// See http://www.cs.rutgers.edu/~muthu/bquant.pdf for time, space, and error
// properties.
func NewHighBiased(epsilon float64) *Stream {
ƒ := func(s *stream, r float64) float64 {
return 2 * epsilon * (s.n - r)
}
return newStream(ƒ)
}
// NewTargeted returns an initialized Stream concerned with a particular set of
// quantile values that are supplied a priori. Knowing these a priori reduces
// space and computation time. The targets map maps the desired quantiles to
// their absolute errors, i.e. the true quantile of a value returned by a query
// is guaranteed to be within (Quantile±Epsilon).
//
// See http://www.cs.rutgers.edu/~muthu/bquant.pdf for time, space, and error properties.
func NewTargeted(targets map[float64]float64) *Stream {
ƒ := func(s *stream, r float64) float64 {
var m = math.MaxFloat64
var f float64
for quantile, epsilon := range targets {
if quantile*s.n <= r {
f = (2 * epsilon * r) / quantile
} else {
f = (2 * epsilon * (s.n - r)) / (1 - quantile)
}
if f < m {
m = f
}
}
return m
}
return newStream(ƒ)
}
// Stream computes quantiles for a stream of float64s. It is not thread-safe by
// design. Take care when using across multiple goroutines.
type Stream struct {
*stream
b Samples
sorted bool
}
func newStream(ƒ invariant) *Stream {
x := &stream{ƒ: ƒ}
return &Stream{x, make(Samples, 0, 500), true}
}
// Insert inserts v into the stream.
func (s *Stream) Insert(v float64) {
s.insert(Sample{Value: v, Width: 1})
}
func (s *Stream) insert(sample Sample) {
s.b = append(s.b, sample)
s.sorted = false
if len(s.b) == cap(s.b) {
s.flush()
}
}
// Query returns the computed qth percentiles value. If s was created with
// NewTargeted, and q is not in the set of quantiles provided a priori, Query
// will return an unspecified result.
func (s *Stream) Query(q float64) float64 {
if !s.flushed() {
// Fast path when there hasn't been enough data for a flush;
// this also yields better accuracy for small sets of data.
l := len(s.b)
if l == 0 {
return 0
}
i := int(math.Ceil(float64(l) * q))
if i > 0 {
i -= 1
}
s.maybeSort()
return s.b[i].Value
}
s.flush()
return s.stream.query(q)
}
// Merge merges samples into the underlying streams samples. This is handy when
// merging multiple streams from separate threads, database shards, etc.
//
// ATTENTION: This method is broken and does not yield correct results. The
// underlying algorithm is not capable of merging streams correctly.
func (s *Stream) Merge(samples Samples) {
sort.Sort(samples)
s.stream.merge(samples)
}
// Reset reinitializes and clears the list reusing the samples buffer memory.
func (s *Stream) Reset() {
s.stream.reset()
s.b = s.b[:0]
}
// Samples returns stream samples held by s.
func (s *Stream) Samples() Samples {
if !s.flushed() {
return s.b
}
s.flush()
return s.stream.samples()
}
// Count returns the total number of samples observed in the stream
// since initialization.
func (s *Stream) Count() int {
return len(s.b) + s.stream.count()
}
func (s *Stream) flush() {
s.maybeSort()
s.stream.merge(s.b)
s.b = s.b[:0]
}
func (s *Stream) maybeSort() {
if !s.sorted {
s.sorted = true
sort.Sort(s.b)
}
}
func (s *Stream) flushed() bool {
return len(s.stream.l) > 0
}
type stream struct {
n float64
l []Sample
ƒ invariant
}
func (s *stream) reset() {
s.l = s.l[:0]
s.n = 0
}
func (s *stream) insert(v float64) {
s.merge(Samples{{v, 1, 0}})
}
func (s *stream) merge(samples Samples) {
// TODO(beorn7): This tries to merge not only individual samples, but
// whole summaries. The paper doesn't mention merging summaries at
// all. Unittests show that the merging is inaccurate. Find out how to
// do merges properly.
var r float64
i := 0
for _, sample := range samples {
for ; i < len(s.l); i++ {
c := s.l[i]
if c.Value > sample.Value {
// Insert at position i.
s.l = append(s.l, Sample{})
copy(s.l[i+1:], s.l[i:])
s.l[i] = Sample{
sample.Value,
sample.Width,
math.Max(sample.Delta, math.Floor(s.ƒ(s, r))-1),
// TODO(beorn7): How to calculate delta correctly?
}
i++
goto inserted
}
r += c.Width
}
s.l = append(s.l, Sample{sample.Value, sample.Width, 0})
i++
inserted:
s.n += sample.Width
r += sample.Width
}
s.compress()
}
func (s *stream) count() int {
return int(s.n)
}
func (s *stream) query(q float64) float64 {
t := math.Ceil(q * s.n)
t += math.Ceil(s.ƒ(s, t) / 2)
p := s.l[0]
var r float64
for _, c := range s.l[1:] {
r += p.Width
if r+c.Width+c.Delta > t {
return p.Value
}
p = c
}
return p.Value
}
func (s *stream) compress() {
if len(s.l) < 2 {
return
}
x := s.l[len(s.l)-1]
xi := len(s.l) - 1
r := s.n - 1 - x.Width
for i := len(s.l) - 2; i >= 0; i-- {
c := s.l[i]
if c.Width+x.Width+x.Delta <= s.ƒ(s, r) {
x.Width += c.Width
s.l[xi] = x
// Remove element at i.
copy(s.l[i:], s.l[i+1:])
s.l = s.l[:len(s.l)-1]
xi -= 1
} else {
x = c
xi = i
}
r -= c.Width
}
}
func (s *stream) samples() Samples {
samples := make(Samples, len(s.l))
copy(samples, s.l)
return samples
}
vendor/github.com/beorn7/perks/quantile/stream_test.go deleted 100644 → 0
View file @ 99047aee
package quantile
import (
"math"
"math/rand"
"sort"
"testing"
)
var (
Targets = map[float64]float64{
0.01: 0.001,
0.10: 0.01,
0.50: 0.05,
0.90: 0.01,
0.99: 0.001,
}
TargetsSmallEpsilon = map[float64]float64{
0.01: 0.0001,
0.10: 0.001,
0.50: 0.005,
0.90: 0.001,
0.99: 0.0001,
}
LowQuantiles = []float64{0.01, 0.1, 0.5}
HighQuantiles = []float64{0.99, 0.9, 0.5}
)
const RelativeEpsilon = 0.01
func verifyPercsWithAbsoluteEpsilon(t *testing.T, a []float64, s *Stream) {
sort.Float64s(a)
for quantile, epsilon := range Targets {
n := float64(len(a))
k := int(quantile * n)
if k < 1 {
k = 1
}
lower := int((quantile - epsilon) * n)
if lower < 1 {
lower = 1
}
upper := int(math.Ceil((quantile + epsilon) * n))
if upper > len(a) {
upper = len(a)
}
w, min, max := a[k-1], a[lower-1], a[upper-1]
if g := s.Query(quantile); g < min || g > max {
t.Errorf("q=%f: want %v [%f,%f], got %v", quantile, w, min, max, g)
}
}
}
func verifyLowPercsWithRelativeEpsilon(t *testing.T, a []float64, s *Stream) {
sort.Float64s(a)
for _, qu := range LowQuantiles {
n := float64(len(a))
k := int(qu * n)
lowerRank := int((1 - RelativeEpsilon) * qu * n)
upperRank := int(math.Ceil((1 + RelativeEpsilon) * qu * n))
w, min, max := a[k-1], a[lowerRank-1], a[upperRank-1]
if g := s.Query(qu); g < min || g > max {
t.Errorf("q=%f: want %v [%f,%f], got %v", qu, w, min, max, g)
}
}
}
func verifyHighPercsWithRelativeEpsilon(t *testing.T, a []float64, s *Stream) {
sort.Float64s(a)
for _, qu := range HighQuantiles {
n := float64(len(a))
k := int(qu * n)
lowerRank := int((1 - (1+RelativeEpsilon)*(1-qu)) * n)
upperRank := int(math.Ceil((1 - (1-RelativeEpsilon)*(1-qu)) * n))
w, min, max := a[k-1], a[lowerRank-1], a[upperRank-1]
if g := s.Query(qu); g < min || g > max {
t.Errorf("q=%f: want %v [%f,%f], got %v", qu, w, min, max, g)
}
}
}
func populateStream(s *Stream) []float64 {
a := make([]float64, 0, 1e5+100)
for i := 0; i < cap(a); i++ {
v := rand.NormFloat64()
// Add 5% asymmetric outliers.
if i%20 == 0 {
v = v*v + 1
}
s.Insert(v)
a = append(a, v)
}
return a
}
func TestTargetedQuery(t *testing.T) {
rand.Seed(42)
s := NewTargeted(Targets)
a := populateStream(s)
verifyPercsWithAbsoluteEpsilon(t, a, s)
}
func TestTargetedQuerySmallSampleSize(t *testing.T) {
rand.Seed(42)
s := NewTargeted(TargetsSmallEpsilon)
a := []float64{1, 2, 3, 4, 5}
for _, v := range a {
s.Insert(v)
}
verifyPercsWithAbsoluteEpsilon(t, a, s)
// If not yet flushed, results should be precise:
if !s.flushed() {
for φ, want := range map[float64]float64{
0.01: 1,
0.10: 1,
0.50: 3,
0.90: 5,
0.99: 5,
} {
if got := s.Query(φ); got != want {
t.Errorf("want %f for φ=%f, got %f", want, φ, got)
}
}
}
}
func TestLowBiasedQuery(t *testing.T) {
rand.Seed(42)
s := NewLowBiased(RelativeEpsilon)
a := populateStream(s)
verifyLowPercsWithRelativeEpsilon(t, a, s)
}
func TestHighBiasedQuery(t *testing.T) {
rand.Seed(42)
s := NewHighBiased(RelativeEpsilon)
a := populateStream(s)
verifyHighPercsWithRelativeEpsilon(t, a, s)
}
// BrokenTestTargetedMerge is broken, see Merge doc comment.
func BrokenTestTargetedMerge(t *testing.T) {
rand.Seed(42)
s1 := NewTargeted(Targets)
s2 := NewTargeted(Targets)
a := populateStream(s1)
a = append(a, populateStream(s2)...)
s1.Merge(s2.Samples())
verifyPercsWithAbsoluteEpsilon(t, a, s1)
}
// BrokenTestLowBiasedMerge is broken, see Merge doc comment.
func BrokenTestLowBiasedMerge(t *testing.T) {
rand.Seed(42)
s1 := NewLowBiased(RelativeEpsilon)
s2 := NewLowBiased(RelativeEpsilon)
a := populateStream(s1)
a = append(a, populateStream(s2)...)
s1.Merge(s2.Samples())
verifyLowPercsWithRelativeEpsilon(t, a, s2)
}
// BrokenTestHighBiasedMerge is broken, see Merge doc comment.
func BrokenTestHighBiasedMerge(t *testing.T) {
rand.Seed(42)
s1 := NewHighBiased(RelativeEpsilon)
s2 := NewHighBiased(RelativeEpsilon)
a := populateStream(s1)
a = append(a, populateStream(s2)...)
s1.Merge(s2.Samples())
verifyHighPercsWithRelativeEpsilon(t, a, s2)
}
func TestUncompressed(t *testing.T) {
q := NewTargeted(Targets)
for i := 100; i > 0; i-- {
q.Insert(float64(i))
}
if g := q.Count(); g != 100 {
t.Errorf("want count 100, got %d", g)
}
// Before compression, Query should have 100% accuracy.
for quantile := range Targets {
w := quantile * 100
if g := q.Query(quantile); g != w {
t.Errorf("want %f, got %f", w, g)
}
}
}
func TestUncompressedSamples(t *testing.T) {
q := NewTargeted(map[float64]float64{0.99: 0.001})
for i := 1; i <= 100; i++ {
q.Insert(float64(i))
}
if g := q.Samples().Len(); g != 100 {
t.Errorf("want count 100, got %d", g)
}
}
func TestUncompressedOne(t *testing.T) {
q := NewTargeted(map[float64]float64{0.99: 0.01})
q.Insert(3.14)
if g := q.Query(0.90); g != 3.14 {
t.Error("want PI, got", g)
}
}
func TestDefaults(t *testing.T) {
if g := NewTargeted(map[float64]float64{0.99: 0.001}).Query(0.99); g != 0 {
t.Errorf("want 0, got %f", g)
}
}
vendor/github.com/prometheus/client_golang/.gitignore deleted 100644 → 0
View file @ 99047aee
# Compiled Object files, Static and Dynamic libs (Shared Objects)
*.o
*.a
*.so
# Folders
_obj
_test
# Architecture specific extensions/prefixes
*.[568vq]
[568vq].out
*.cgo1.go
*.cgo2.c
_cgo_defun.c
_cgo_gotypes.go
_cgo_export.*
_testmain.go
*.exe
*~
*#
.build
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sudo: false
language: go
go:
- 1.5.4
- 1.6.2
script:
- go test -short ./...
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The Prometheus project was started by Matt T. Proud (emeritus) and
Julius Volz in 2012.
Maintainers of this repository:
* Björn Rabenstein <beorn@soundcloud.com>
The following individuals have contributed code to this repository
(listed in alphabetical order):
* Bernerd Schaefer <bj.schaefer@gmail.com>
* Björn Rabenstein <beorn@soundcloud.com>
* Daniel Bornkessel <daniel@soundcloud.com>
* Jeff Younker <jeff@drinktomi.com>
* Julius Volz <julius.volz@gmail.com>
* Matt T. Proud <matt.proud@gmail.com>
* Tobias Schmidt <ts@soundcloud.com>
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## 0.8.0 / 2016-08-17
* [CHANGE] Registry is doing more consistency checks. This might break
existing setups that used to export inconsistent metrics.
* [CHANGE] Pushing to Pushgateway moved to package `push` and changed to allow
arbitrary grouping.
* [CHANGE] Removed `SelfCollector`.
* [CHANGE] Removed `PanicOnCollectError` and `EnableCollectChecks` methods.
* [CHANGE] Moved packages to the prometheus/common repo: `text`, `model`,
`extraction`.
* [CHANGE] Deprecated a number of functions.
* [FEATURE] Allow custom registries. Added `Registerer` and `Gatherer`
interfaces.
* [FEATURE] Separated HTTP exposition, allowing custom HTTP handlers (package
`promhttp`) and enabling the creation of other exposition mechanisms.
* [FEATURE] `MustRegister` is variadic now, allowing registration of many
collectors in one call.
* [FEATURE] Added HTTP API v1 package.
* [ENHANCEMENT] Numerous documentation improvements.
* [ENHANCEMENT] Improved metric sorting.
* [ENHANCEMENT] Inlined fnv64a hashing for improved performance.
* [ENHANCEMENT] Several test improvements.
* [BUGFIX] Handle collisions in MetricVec.
## 0.7.0 / 2015-07-27
* [CHANGE] Rename ExporterLabelPrefix to ExportedLabelPrefix.
* [BUGFIX] Closed gaps in metric consistency check.
* [BUGFIX] Validate LabelName/LabelSet on JSON unmarshaling.
* [ENHANCEMENT] Document the possibility to create "empty" metrics in
a metric vector.
* [ENHANCEMENT] Fix and clarify various doc comments and the README.md.
* [ENHANCEMENT] (Kind of) solve "The Proxy Problem" of http.InstrumentHandler.
* [ENHANCEMENT] Change responseWriterDelegator.written to int64.
## 0.6.0 / 2015-06-01
* [CHANGE] Rename process_goroutines to go_goroutines.
* [ENHANCEMENT] Validate label names during YAML decoding.
* [ENHANCEMENT] Add LabelName regular expression.
* [BUGFIX] Ensure alignment of struct members for 32-bit systems.
## 0.5.0 / 2015-05-06
* [BUGFIX] Removed a weakness in the fingerprinting aka signature code.
This makes fingerprinting slower and more allocation-heavy, but the
weakness was too severe to be tolerated.
* [CHANGE] As a result of the above, Metric.Fingerprint is now returning
a different fingerprint. To keep the same fingerprint, the new method
Metric.FastFingerprint was introduced, which will be used by the
Prometheus server for storage purposes (implying that a collision
detection has to be added, too).
* [ENHANCEMENT] The Metric.Equal and Metric.Before do not depend on
fingerprinting anymore, removing the possibility of an undetected
fingerprint collision.
* [FEATURE] The Go collector in the exposition library includes garbage
collection stats.
* [FEATURE] The exposition library allows to create constant "throw-away"
summaries and histograms.
* [CHANGE] A number of new reserved labels and prefixes.
## 0.4.0 / 2015-04-08
* [CHANGE] Return NaN when Summaries have no observations yet.
* [BUGFIX] Properly handle Summary decay upon Write().
* [BUGFIX] Fix the documentation link to the consumption library.
* [FEATURE] Allow the metric family injection hook to merge with existing
metric families.
* [ENHANCEMENT] Removed cgo dependency and conditional compilation of procfs.
* [MAINTENANCE] Adjusted to changes in matttproud/golang_protobuf_extensions.
## 0.3.2 / 2015-03-11
* [BUGFIX] Fixed the receiver type of COWMetric.Set(). This method is
only used by the Prometheus server internally.
* [CLEANUP] Added licenses of vendored code left out by godep.
## 0.3.1 / 2015-03-04
* [ENHANCEMENT] Switched fingerprinting functions from own free list to
sync.Pool.
* [CHANGE] Makefile uses Go 1.4.2 now (only relevant for examples and tests).
## 0.3.0 / 2015-03-03
* [CHANGE] Changed the fingerprinting for metrics. THIS WILL INVALIDATE ALL
PERSISTED FINGERPRINTS. IF YOU COMPILE THE PROMETHEUS SERVER WITH THIS
VERSION, YOU HAVE TO WIPE THE PREVIOUSLY CREATED STORAGE.
* [CHANGE] LabelValuesToSignature removed. (Nobody had used it, and it was
arguably broken.)
* [CHANGE] Vendored dependencies. Those are only used by the Makefile. If
client_golang is used as a library, the vendoring will stay out of your way.
* [BUGFIX] Remove a weakness in the fingerprinting for metrics. (This made
the fingerprinting change above necessary.)
* [FEATURE] Added new fingerprinting functions SignatureForLabels and
SignatureWithoutLabels to be used by the Prometheus server. These functions
require fewer allocations than the ones currently used by the server.
## 0.2.0 / 2015-02-23
* [FEATURE] Introduce new Histagram metric type.
* [CHANGE] Ignore process collector errors for now (better error handling
pending).
* [CHANGE] Use clear error interface for process pidFn.
* [BUGFIX] Fix Go download links for several archs and OSes.
* [ENHANCEMENT] Massively improve Gauge and Counter performance.
* [ENHANCEMENT] Catch illegal label names for summaries in histograms.
* [ENHANCEMENT] Reduce allocations during fingerprinting.
* [ENHANCEMENT] Remove cgo dependency. procfs package will only be included if
both cgo is available and the build is for an OS with procfs.
* [CLEANUP] Clean up code style issues.
* [CLEANUP] Mark slow test as such and exclude them from travis.
* [CLEANUP] Update protobuf library package name.
* [CLEANUP] Updated vendoring of beorn7/perks.
## 0.1.0 / 2015-02-02
* [CLEANUP] Introduced semantic versioning and changelog. From now on,
changes will be reported in this file.
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# Contributing
Prometheus uses GitHub to manage reviews of pull requests.
* If you have a trivial fix or improvement, go ahead and create a pull
request, addressing (with `@...`) one or more of the maintainers
(see [AUTHORS.md](AUTHORS.md)) in the description of the pull request.
* If you plan to do something more involved, first discuss your ideas
on our [mailing list](https://groups.google.com/forum/?fromgroups#!forum/prometheus-developers).
This will avoid unnecessary work and surely give you and us a good deal
of inspiration.
* Relevant coding style guidelines are the [Go Code Review
Comments](https://code.google.com/p/go-wiki/wiki/CodeReviewComments)
and the _Formatting and style_ section of Peter Bourgon's [Go: Best
Practices for Production
Environments](http://peter.bourgon.org/go-in-production/#formatting-and-style).
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vendor/github.com/prometheus/client_golang/NOTICE deleted 100644 → 0
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Prometheus instrumentation library for Go applications
Copyright 2012-2015 The Prometheus Authors
This product includes software developed at
SoundCloud Ltd. (http://soundcloud.com/).
The following components are included in this product:
perks - a fork of https://github.com/bmizerany/perks
https://github.com/beorn7/perks
Copyright 2013-2015 Blake Mizerany, Björn Rabenstein
See https://github.com/beorn7/perks/blob/master/README.md for license details.
Go support for Protocol Buffers - Google's data interchange format
http://github.com/golang/protobuf/
Copyright 2010 The Go Authors
See source code for license details.
Support for streaming Protocol Buffer messages for the Go language (golang).
https://github.com/matttproud/golang_protobuf_extensions
Copyright 2013 Matt T. Proud
Licensed under the Apache License, Version 2.0
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# Prometheus Go client library
[![Build Status](https://travis-ci.org/prometheus/client_golang.svg?branch=master)](https://travis-ci.org/prometheus/client_golang)
This is the [Go](http://golang.org) client library for
[Prometheus](http://prometheus.io). It has two separate parts, one for
instrumenting application code, and one for creating clients that talk to the
Prometheus HTTP API.
## Instrumenting applications
[![code-coverage](http://gocover.io/_badge/github.com/prometheus/client_golang/prometheus)](http://gocover.io/github.com/prometheus/client_golang/prometheus) [![go-doc](https://godoc.org/github.com/prometheus/client_golang/prometheus?status.svg)](https://godoc.org/github.com/prometheus/client_golang/prometheus)
The
[`prometheus` directory](https://github.com/prometheus/client_golang/tree/master/prometheus)
contains the instrumentation library. See the
[best practices section](http://prometheus.io/docs/practices/naming/) of the
Prometheus documentation to learn more about instrumenting applications.
The
[`examples` directory](https://github.com/prometheus/client_golang/tree/master/examples)
contains simple examples of instrumented code.
## Client for the Prometheus HTTP API
[![code-coverage](http://gocover.io/_badge/github.com/prometheus/client_golang/api/prometheus)](http://gocover.io/github.com/prometheus/client_golang/api/prometheus) [![go-doc](https://godoc.org/github.com/prometheus/client_golang/api/prometheus?status.svg)](https://godoc.org/github.com/prometheus/client_golang/api/prometheus)
The
[`api/prometheus` directory](https://github.com/prometheus/client_golang/tree/master/api/prometheus)
contains the client for the
[Prometheus HTTP API](http://prometheus.io/docs/querying/api/). It allows you
to write Go applications that query time series data from a Prometheus server.
## Where is `model`, `extraction`, and `text`?
The `model` packages has been moved to
[`prometheus/common/model`](https://github.com/prometheus/common/tree/master/model).
The `extraction` and `text` packages are now contained in
[`prometheus/common/expfmt`](https://github.com/prometheus/common/tree/master/expfmt).
## Contributing and community
See the [contributing guidelines](CONTRIBUTING.md) and the
[Community section](http://prometheus.io/community/) of the homepage.
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See [![go-doc](https://godoc.org/github.com/prometheus/client_golang/prometheus?status.svg)](https://godoc.org/github.com/prometheus/client_golang/prometheus).
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"sync"
"testing"
)
func BenchmarkCounterWithLabelValues(b *testing.B) {
m := NewCounterVec(
CounterOpts{
Name: "benchmark_counter",
Help: "A counter to benchmark it.",
},
[]string{"one", "two", "three"},
)
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
m.WithLabelValues("eins", "zwei", "drei").Inc()
}
}
func BenchmarkCounterWithLabelValuesConcurrent(b *testing.B) {
m := NewCounterVec(
CounterOpts{
Name: "benchmark_counter",
Help: "A counter to benchmark it.",
},
[]string{"one", "two", "three"},
)
b.ReportAllocs()
b.ResetTimer()
wg := sync.WaitGroup{}
for i := 0; i < 10; i++ {
wg.Add(1)
go func() {
for j := 0; j < b.N/10; j++ {
m.WithLabelValues("eins", "zwei", "drei").Inc()
}
wg.Done()
}()
}
wg.Wait()
}
func BenchmarkCounterWithMappedLabels(b *testing.B) {
m := NewCounterVec(
CounterOpts{
Name: "benchmark_counter",
Help: "A counter to benchmark it.",
},
[]string{"one", "two", "three"},
)
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
m.With(Labels{"two": "zwei", "one": "eins", "three": "drei"}).Inc()
}
}
func BenchmarkCounterWithPreparedMappedLabels(b *testing.B) {
m := NewCounterVec(
CounterOpts{
Name: "benchmark_counter",
Help: "A counter to benchmark it.",
},
[]string{"one", "two", "three"},
)
b.ReportAllocs()
b.ResetTimer()
labels := Labels{"two": "zwei", "one": "eins", "three": "drei"}
for i := 0; i < b.N; i++ {
m.With(labels).Inc()
}
}
func BenchmarkCounterNoLabels(b *testing.B) {
m := NewCounter(CounterOpts{
Name: "benchmark_counter",
Help: "A counter to benchmark it.",
})
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
m.Inc()
}
}
func BenchmarkGaugeWithLabelValues(b *testing.B) {
m := NewGaugeVec(
GaugeOpts{
Name: "benchmark_gauge",
Help: "A gauge to benchmark it.",
},
[]string{"one", "two", "three"},
)
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
m.WithLabelValues("eins", "zwei", "drei").Set(3.1415)
}
}
func BenchmarkGaugeNoLabels(b *testing.B) {
m := NewGauge(GaugeOpts{
Name: "benchmark_gauge",
Help: "A gauge to benchmark it.",
})
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
m.Set(3.1415)
}
}
func BenchmarkSummaryWithLabelValues(b *testing.B) {
m := NewSummaryVec(
SummaryOpts{
Name: "benchmark_summary",
Help: "A summary to benchmark it.",
},
[]string{"one", "two", "three"},
)
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
m.WithLabelValues("eins", "zwei", "drei").Observe(3.1415)
}
}
func BenchmarkSummaryNoLabels(b *testing.B) {
m := NewSummary(SummaryOpts{
Name: "benchmark_summary",
Help: "A summary to benchmark it.",
},
)
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
m.Observe(3.1415)
}
}
func BenchmarkHistogramWithLabelValues(b *testing.B) {
m := NewHistogramVec(
HistogramOpts{
Name: "benchmark_histogram",
Help: "A histogram to benchmark it.",
},
[]string{"one", "two", "three"},
)
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
m.WithLabelValues("eins", "zwei", "drei").Observe(3.1415)
}
}
func BenchmarkHistogramNoLabels(b *testing.B) {
m := NewHistogram(HistogramOpts{
Name: "benchmark_histogram",
Help: "A histogram to benchmark it.",
},
)
b.ReportAllocs()
b.ResetTimer()
for i := 0; i < b.N; i++ {
m.Observe(3.1415)
}
}
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
// Collector is the interface implemented by anything that can be used by
// Prometheus to collect metrics. A Collector has to be registered for
// collection. See Registerer.Register.
//
// The stock metrics provided by this package (Gauge, Counter, Summary,
// Histogram, Untyped) are also Collectors (which only ever collect one metric,
// namely itself). An implementer of Collector may, however, collect multiple
// metrics in a coordinated fashion and/or create metrics on the fly. Examples
// for collectors already implemented in this library are the metric vectors
// (i.e. collection of multiple instances of the same Metric but with different
// label values) like GaugeVec or SummaryVec, and the ExpvarCollector.
type Collector interface {
// Describe sends the super-set of all possible descriptors of metrics
// collected by this Collector to the provided channel and returns once
// the last descriptor has been sent. The sent descriptors fulfill the
// consistency and uniqueness requirements described in the Desc
// documentation. (It is valid if one and the same Collector sends
// duplicate descriptors. Those duplicates are simply ignored. However,
// two different Collectors must not send duplicate descriptors.) This
// method idempotently sends the same descriptors throughout the
// lifetime of the Collector. If a Collector encounters an error while
// executing this method, it must send an invalid descriptor (created
// with NewInvalidDesc) to signal the error to the registry.
Describe(chan<- *Desc)
// Collect is called by the Prometheus registry when collecting
// metrics. The implementation sends each collected metric via the
// provided channel and returns once the last metric has been sent. The
// descriptor of each sent metric is one of those returned by
// Describe. Returned metrics that share the same descriptor must differ
// in their variable label values. This method may be called
// concurrently and must therefore be implemented in a concurrency safe
// way. Blocking occurs at the expense of total performance of rendering
// all registered metrics. Ideally, Collector implementations support
// concurrent readers.
Collect(chan<- Metric)
}
// selfCollector implements Collector for a single Metric so that the Metric
// collects itself. Add it as an anonymous field to a struct that implements
// Metric, and call init with the Metric itself as an argument.
type selfCollector struct {
self Metric
}
// init provides the selfCollector with a reference to the metric it is supposed
// to collect. It is usually called within the factory function to create a
// metric. See example.
func (c *selfCollector) init(self Metric) {
c.self = self
}
// Describe implements Collector.
func (c *selfCollector) Describe(ch chan<- *Desc) {
ch <- c.self.Desc()
}
// Collect implements Collector.
func (c *selfCollector) Collect(ch chan<- Metric) {
ch <- c.self
}
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"errors"
)
// Counter is a Metric that represents a single numerical value that only ever
// goes up. That implies that it cannot be used to count items whose number can
// also go down, e.g. the number of currently running goroutines. Those
// "counters" are represented by Gauges.
//
// A Counter is typically used to count requests served, tasks completed, errors
// occurred, etc.
//
// To create Counter instances, use NewCounter.
type Counter interface {
Metric
Collector
// Set is used to set the Counter to an arbitrary value. It is only used
// if you have to transfer a value from an external counter into this
// Prometheus metric. Do not use it for regular handling of a
// Prometheus counter (as it can be used to break the contract of
// monotonically increasing values).
//
// Deprecated: Use NewConstMetric to create a counter for an external
// value. A Counter should never be set.
Set(float64)
// Inc increments the counter by 1.
Inc()
// Add adds the given value to the counter. It panics if the value is <
// 0.
Add(float64)
}
// CounterOpts is an alias for Opts. See there for doc comments.
type CounterOpts Opts
// NewCounter creates a new Counter based on the provided CounterOpts.
func NewCounter(opts CounterOpts) Counter {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
)
result := &counter{value: value{desc: desc, valType: CounterValue, labelPairs: desc.constLabelPairs}}
result.init(result) // Init self-collection.
return result
}
type counter struct {
value
}
func (c *counter) Add(v float64) {
if v < 0 {
panic(errors.New("counter cannot decrease in value"))
}
c.value.Add(v)
}
// CounterVec is a Collector that bundles a set of Counters that all share the
// same Desc, but have different values for their variable labels. This is used
// if you want to count the same thing partitioned by various dimensions
// (e.g. number of HTTP requests, partitioned by response code and
// method). Create instances with NewCounterVec.
//
// CounterVec embeds MetricVec. See there for a full list of methods with
// detailed documentation.
type CounterVec struct {
*MetricVec
}
// NewCounterVec creates a new CounterVec based on the provided CounterOpts and
// partitioned by the given label names. At least one label name must be
// provided.
func NewCounterVec(opts CounterOpts, labelNames []string) *CounterVec {
desc := NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
labelNames,
opts.ConstLabels,
)
return &CounterVec{
MetricVec: newMetricVec(desc, func(lvs ...string) Metric {
result := &counter{value: value{
desc: desc,
valType: CounterValue,
labelPairs: makeLabelPairs(desc, lvs),
}}
result.init(result) // Init self-collection.
return result
}),
}
}
// GetMetricWithLabelValues replaces the method of the same name in
// MetricVec. The difference is that this method returns a Counter and not a
// Metric so that no type conversion is required.
func (m *CounterVec) GetMetricWithLabelValues(lvs ...string) (Counter, error) {
metric, err := m.MetricVec.GetMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Counter), err
}
return nil, err
}
// GetMetricWith replaces the method of the same name in MetricVec. The
// difference is that this method returns a Counter and not a Metric so that no
// type conversion is required.
func (m *CounterVec) GetMetricWith(labels Labels) (Counter, error) {
metric, err := m.MetricVec.GetMetricWith(labels)
if metric != nil {
return metric.(Counter), err
}
return nil, err
}
// WithLabelValues works as GetMetricWithLabelValues, but panics where
// GetMetricWithLabelValues would have returned an error. By not returning an
// error, WithLabelValues allows shortcuts like
// myVec.WithLabelValues("404", "GET").Add(42)
func (m *CounterVec) WithLabelValues(lvs ...string) Counter {
return m.MetricVec.WithLabelValues(lvs...).(Counter)
}
// With works as GetMetricWith, but panics where GetMetricWithLabels would have
// returned an error. By not returning an error, With allows shortcuts like
// myVec.With(Labels{"code": "404", "method": "GET"}).Add(42)
func (m *CounterVec) With(labels Labels) Counter {
return m.MetricVec.With(labels).(Counter)
}
// CounterFunc is a Counter whose value is determined at collect time by calling a
// provided function.
//
// To create CounterFunc instances, use NewCounterFunc.
type CounterFunc interface {
Metric
Collector
}
// NewCounterFunc creates a new CounterFunc based on the provided
// CounterOpts. The value reported is determined by calling the given function
// from within the Write method. Take into account that metric collection may
// happen concurrently. If that results in concurrent calls to Write, like in
// the case where a CounterFunc is directly registered with Prometheus, the
// provided function must be concurrency-safe. The function should also honor
// the contract for a Counter (values only go up, not down), but compliance will
// not be checked.
func NewCounterFunc(opts CounterOpts, function func() float64) CounterFunc {
return newValueFunc(NewDesc(
BuildFQName(opts.Namespace, opts.Subsystem, opts.Name),
opts.Help,
nil,
opts.ConstLabels,
), CounterValue, function)
}
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"math"
"testing"
dto "github.com/prometheus/client_model/go"
)
func TestCounterAdd(t *testing.T) {
counter := NewCounter(CounterOpts{
Name: "test",
Help: "test help",
ConstLabels: Labels{"a": "1", "b": "2"},
}).(*counter)
counter.Inc()
if expected, got := 1., math.Float64frombits(counter.valBits); expected != got {
t.Errorf("Expected %f, got %f.", expected, got)
}
counter.Add(42)
if expected, got := 43., math.Float64frombits(counter.valBits); expected != got {
t.Errorf("Expected %f, got %f.", expected, got)
}
if expected, got := "counter cannot decrease in value", decreaseCounter(counter).Error(); expected != got {
t.Errorf("Expected error %q, got %q.", expected, got)
}
m := &dto.Metric{}
counter.Write(m)
if expected, got := `label:<name:"a" value:"1" > label:<name:"b" value:"2" > counter:<value:43 > `, m.String(); expected != got {
t.Errorf("expected %q, got %q", expected, got)
}
}
func decreaseCounter(c *counter) (err error) {
defer func() {
if e := recover(); e != nil {
err = e.(error)
}
}()
c.Add(-1)
return nil
}
vendor/github.com/prometheus/client_golang/prometheus/desc.go deleted 100644 → 0
View file @ 99047aee
// Copyright 2016 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"errors"
"fmt"
"regexp"
"sort"
"strings"
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
)
var (
metricNameRE = regexp.MustCompile(`^[a-zA-Z_][a-zA-Z0-9_:]*$`)
labelNameRE = regexp.MustCompile("^[a-zA-Z_][a-zA-Z0-9_]*$")
)
// reservedLabelPrefix is a prefix which is not legal in user-supplied
// label names.
const reservedLabelPrefix = "__"
// Labels represents a collection of label name -> value mappings. This type is
// commonly used with the With(Labels) and GetMetricWith(Labels) methods of
// metric vector Collectors, e.g.:
// myVec.With(Labels{"code": "404", "method": "GET"}).Add(42)
//
// The other use-case is the specification of constant label pairs in Opts or to
// create a Desc.
type Labels map[string]string
// Desc is the descriptor used by every Prometheus Metric. It is essentially
// the immutable meta-data of a Metric. The normal Metric implementations
// included in this package manage their Desc under the hood. Users only have to
// deal with Desc if they use advanced features like the ExpvarCollector or
// custom Collectors and Metrics.
//
// Descriptors registered with the same registry have to fulfill certain
// consistency and uniqueness criteria if they share the same fully-qualified
// name: They must have the same help string and the same label names (aka label
// dimensions) in each, constLabels and variableLabels, but they must differ in
// the values of the constLabels.
//
// Descriptors that share the same fully-qualified names and the same label
// values of their constLabels are considered equal.
//
// Use NewDesc to create new Desc instances.
type Desc struct {
// fqName has been built from Namespace, Subsystem, and Name.
fqName string
// help provides some helpful information about this metric.
help string
// constLabelPairs contains precalculated DTO label pairs based on
// the constant labels.
constLabelPairs []*dto.LabelPair
// VariableLabels contains names of labels for which the metric
// maintains variable values.
variableLabels []string
// id is a hash of the values of the ConstLabels and fqName. This
// must be unique among all registered descriptors and can therefore be
// used as an identifier of the descriptor.
id uint64
// dimHash is a hash of the label names (preset and variable) and the
// Help string. Each Desc with the same fqName must have the same
// dimHash.
dimHash uint64
// err is an error that occured during construction. It is reported on
// registration time.
err error
}
// NewDesc allocates and initializes a new Desc. Errors are recorded in the Desc
// and will be reported on registration time. variableLabels and constLabels can
// be nil if no such labels should be set. fqName and help must not be empty.
//
// variableLabels only contain the label names. Their label values are variable
// and therefore not part of the Desc. (They are managed within the Metric.)
//
// For constLabels, the label values are constant. Therefore, they are fully
// specified in the Desc. See the Opts documentation for the implications of
// constant labels.
func NewDesc(fqName, help string, variableLabels []string, constLabels Labels) *Desc {
d := &Desc{
fqName: fqName,
help: help,
variableLabels: variableLabels,
}
if help == "" {
d.err = errors.New("empty help string")
return d
}
if !metricNameRE.MatchString(fqName) {
d.err = fmt.Errorf("%q is not a valid metric name", fqName)
return d
}
// labelValues contains the label values of const labels (in order of
// their sorted label names) plus the fqName (at position 0).
labelValues := make([]string, 1, len(constLabels)+1)
labelValues[0] = fqName
labelNames := make([]string, 0, len(constLabels)+len(variableLabels))
labelNameSet := map[string]struct{}{}
// First add only the const label names and sort them...
for labelName := range constLabels {
if !checkLabelName(labelName) {
d.err = fmt.Errorf("%q is not a valid label name", labelName)
return d
}
labelNames = append(labelNames, labelName)
labelNameSet[labelName] = struct{}{}
}
sort.Strings(labelNames)
// ... so that we can now add const label values in the order of their names.
for _, labelName := range labelNames {
labelValues = append(labelValues, constLabels[labelName])
}
// Now add the variable label names, but prefix them with something that
// cannot be in a regular label name. That prevents matching the label
// dimension with a different mix between preset and variable labels.
for _, labelName := range variableLabels {
if !checkLabelName(labelName) {
d.err = fmt.Errorf("%q is not a valid label name", labelName)
return d
}
labelNames = append(labelNames, "$"+labelName)
labelNameSet[labelName] = struct{}{}
}
if len(labelNames) != len(labelNameSet) {
d.err = errors.New("duplicate label names")
return d
}
vh := hashNew()
for _, val := range labelValues {
vh = hashAdd(vh, val)
vh = hashAddByte(vh, separatorByte)
}
d.id = vh
// Sort labelNames so that order doesn't matter for the hash.
sort.Strings(labelNames)
// Now hash together (in this order) the help string and the sorted
// label names.
lh := hashNew()
lh = hashAdd(lh, help)
lh = hashAddByte(lh, separatorByte)
for _, labelName := range labelNames {
lh = hashAdd(lh, labelName)
lh = hashAddByte(lh, separatorByte)
}
d.dimHash = lh
d.constLabelPairs = make([]*dto.LabelPair, 0, len(constLabels))
for n, v := range constLabels {
d.constLabelPairs = append(d.constLabelPairs, &dto.LabelPair{
Name: proto.String(n),
Value: proto.String(v),
})
}
sort.Sort(LabelPairSorter(d.constLabelPairs))
return d
}
// NewInvalidDesc returns an invalid descriptor, i.e. a descriptor with the
// provided error set. If a collector returning such a descriptor is registered,
// registration will fail with the provided error. NewInvalidDesc can be used by
// a Collector to signal inability to describe itself.
func NewInvalidDesc(err error) *Desc {
return &Desc{
err: err,
}
}
func (d *Desc) String() string {
lpStrings := make([]string, 0, len(d.constLabelPairs))
for _, lp := range d.constLabelPairs {
lpStrings = append(
lpStrings,
fmt.Sprintf("%s=%q", lp.GetName(), lp.GetValue()),
)
}
return fmt.Sprintf(
"Desc{fqName: %q, help: %q, constLabels: {%s}, variableLabels: %v}",
d.fqName,
d.help,
strings.Join(lpStrings, ","),
d.variableLabels,
)
}
func checkLabelName(l string) bool {
return labelNameRE.MatchString(l) &&
!strings.HasPrefix(l, reservedLabelPrefix)
}
vendor/github.com/prometheus/client_golang/prometheus/doc.go deleted 100644 → 0
View file @ 99047aee
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Package prometheus provides metrics primitives to instrument code for
// monitoring. It also offers a registry for metrics. Sub-packages allow to
// expose the registered metrics via HTTP (package promhttp) or push them to a
// Pushgateway (package push).
//
// All exported functions and methods are safe to be used concurrently unless
//specified otherwise.
//
// A Basic Example
//
// As a starting point, a very basic usage example:
//
// package main
//
// import (
// "net/http"
//
// "github.com/prometheus/client_golang/prometheus"
// "github.com/prometheus/client_golang/prometheus/promhttp"
// )
//
// var (
// cpuTemp = prometheus.NewGauge(prometheus.GaugeOpts{
// Name: "cpu_temperature_celsius",
// Help: "Current temperature of the CPU.",
// })
// hdFailures = prometheus.NewCounterVec(
// prometheus.CounterOpts{
// Name: "hd_errors_total",
// Help: "Number of hard-disk errors.",
// },
// []string{"device"},
// )
// )
//
// func init() {
// // Metrics have to be registered to be exposed:
// prometheus.MustRegister(cpuTemp)
// prometheus.MustRegister(hdFailures)
// }
//
// func main() {
// cpuTemp.Set(65.3)
// hdFailures.With(prometheus.Labels{"device":"/dev/sda"}).Inc()
//
// // The Handler function provides a default handler to expose metrics
// // via an HTTP server. "/metrics" is the usual endpoint for that.
// http.Handle("/metrics", promhttp.Handler())
// http.ListenAndServe(":8080", nil)
// }
//
//
// This is a complete program that exports two metrics, a Gauge and a Counter,
// the latter with a label attached to turn it into a (one-dimensional) vector.
//
// Metrics
//
// The number of exported identifiers in this package might appear a bit
// overwhelming. Hovever, in addition to the basic plumbing shown in the example
// above, you only need to understand the different metric types and their
// vector versions for basic usage.
//
// Above, you have already touched the Counter and the Gauge. There are two more
// advanced metric types: the Summary and Histogram. A more thorough description
// of those four metric types can be found in the Prometheus docs:
// https://prometheus.io/docs/concepts/metric_types/
//
// A fifth "type" of metric is Untyped. It behaves like a Gauge, but signals the
// Prometheus server not to assume anything about its type.
//
// In addition to the fundamental metric types Gauge, Counter, Summary,
// Histogram, and Untyped, a very important part of the Prometheus data model is
// the partitioning of samples along dimensions called labels, which results in
// metric vectors. The fundamental types are GaugeVec, CounterVec, SummaryVec,
// HistogramVec, and UntypedVec.
//
// While only the fundamental metric types implement the Metric interface, both
// the metrics and their vector versions implement the Collector interface. A
// Collector manages the collection of a number of Metrics, but for convenience,
// a Metric can also “collect itself”. Note that Gauge, Counter, Summary,
// Histogram, and Untyped are interfaces themselves while GaugeVec, CounterVec,
// SummaryVec, HistogramVec, and UntypedVec are not.
//
// To create instances of Metrics and their vector versions, you need a suitable
// …Opts struct, i.e. GaugeOpts, CounterOpts, SummaryOpts,
// HistogramOpts, or UntypedOpts.
//
// Custom Collectors and constant Metrics
//
// While you could create your own implementations of Metric, most likely you
// will only ever implement the Collector interface on your own. At a first
// glance, a custom Collector seems handy to bundle Metrics for common
// registration (with the prime example of the different metric vectors above,
// which bundle all the metrics of the same name but with different labels).
//
// There is a more involved use case, too: If you already have metrics
// available, created outside of the Prometheus context, you don't need the
// interface of the various Metric types. You essentially want to mirror the
// existing numbers into Prometheus Metrics during collection. An own
// implementation of the Collector interface is perfect for that. You can create
// Metric instances “on the fly” using NewConstMetric, NewConstHistogram, and
// NewConstSummary (and their respective Must… versions). That will happen in
// the Collect method. The Describe method has to return separate Desc
// instances, representative of the “throw-away” metrics to be created
// later. NewDesc comes in handy to create those Desc instances.
//
// The Collector example illustrates the use case. You can also look at the
// source code of the processCollector (mirroring process metrics), the
// goCollector (mirroring Go metrics), or the expvarCollector (mirroring expvar
// metrics) as examples that are used in this package itself.
//
// If you just need to call a function to get a single float value to collect as
// a metric, GaugeFunc, CounterFunc, or UntypedFunc might be interesting
// shortcuts.
//
// Advanced Uses of the Registry
//
// While MustRegister is the by far most common way of registering a Collector,
// sometimes you might want to handle the errors the registration might
// cause. As suggested by the name, MustRegister panics if an error occurs. With
// the Register function, the error is returned and can be handled.
//
// An error is returned if the registered Collector is incompatible or
// inconsistent with already registered metrics. The registry aims for
// consistency of the collected metrics according to the Prometheus data
// model. Inconsistencies are ideally detected at registration time, not at
// collect time. The former will usually be detected at start-up time of a
// program, while the latter will only happen at scrape time, possibly not even
// on the first scrape if the inconsistency only becomes relevant later. That is
// the main reason why a Collector and a Metric have to describe themselves to
// the registry.
//
// So far, everything we did operated on the so-called default registry, as it
// can be found in the global DefaultRegistry variable. With NewRegistry, you
// can create a custom registry, or you can even implement the Registerer or
// Gatherer interfaces yourself. The methods Register and Unregister work in
// the same way on a custom registry as the global functions Register and
// Unregister on the default registry.
//
// There are a number of uses for custom registries: You can use registries
// with special properties, see NewPedanticRegistry. You can avoid global state,
// as it is imposed by the DefaultRegistry. You can use multiple registries at
// the same time to expose different metrics in different ways. You can use
// separate registries for testing purposes.
//
// Also note that the DefaultRegistry comes registered with a Collector for Go
// runtime metrics (via NewGoCollector) and a Collector for process metrics (via
// NewProcessCollector). With a custom registry, you are in control and decide
// yourself about the Collectors to register.
//
// HTTP Exposition
//
// The Registry implements the Gatherer interface. The caller of the Gather
// method can then expose the gathered metrics in some way. Usually, the metrics
// are served via HTTP on the /metrics endpoint. That's happening in the example
// above. The tools to expose metrics via HTTP are in the promhttp
// sub-package. (The top-level functions in the prometheus package are
// deprecated.)
//
// Pushing to the Pushgateway
//
// Function for pushing to the Pushgateway can be found in the push sub-package.
//
// Other Means of Exposition
//
// More ways of exposing metrics can easily be added. Sending metrics to
// Graphite would be an example that will soon be implemented.
package prometheus
vendor/github.com/prometheus/client_golang/prometheus/example_clustermanager_test.go deleted 100644 → 0
View file @ 99047aee
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus_test
import "github.com/prometheus/client_golang/prometheus"
// ClusterManager is an example for a system that might have been built without
// Prometheus in mind. It models a central manager of jobs running in a
// cluster. To turn it into something that collects Prometheus metrics, we
// simply add the two methods required for the Collector interface.
//
// An additional challenge is that multiple instances of the ClusterManager are
// run within the same binary, each in charge of a different zone. We need to
// make use of ConstLabels to be able to register each ClusterManager instance
// with Prometheus.
type ClusterManager struct {
Zone string
OOMCountDesc *prometheus.Desc
RAMUsageDesc *prometheus.Desc
// ... many more fields
}
// ReallyExpensiveAssessmentOfTheSystemState is a mock for the data gathering a
// real cluster manager would have to do. Since it may actually be really
// expensive, it must only be called once per collection. This implementation,
// obviously, only returns some made-up data.
func (c *ClusterManager) ReallyExpensiveAssessmentOfTheSystemState() (
oomCountByHost map[string]int, ramUsageByHost map[string]float64,
) {
// Just example fake data.
oomCountByHost = map[string]int{
"foo.example.org": 42,
"bar.example.org": 2001,
}
ramUsageByHost = map[string]float64{
"foo.example.org": 6.023e23,
"bar.example.org": 3.14,
}
return
}
// Describe simply sends the two Descs in the struct to the channel.
func (c *ClusterManager) Describe(ch chan<- *prometheus.Desc) {
ch <- c.OOMCountDesc
ch <- c.RAMUsageDesc
}
// Collect first triggers the ReallyExpensiveAssessmentOfTheSystemState. Then it
// creates constant metrics for each host on the fly based on the returned data.
//
// Note that Collect could be called concurrently, so we depend on
// ReallyExpensiveAssessmentOfTheSystemState to be concurrency-safe.
func (c *ClusterManager) Collect(ch chan<- prometheus.Metric) {
oomCountByHost, ramUsageByHost := c.ReallyExpensiveAssessmentOfTheSystemState()
for host, oomCount := range oomCountByHost {
ch <- prometheus.MustNewConstMetric(
c.OOMCountDesc,
prometheus.CounterValue,
float64(oomCount),
host,
)
}
for host, ramUsage := range ramUsageByHost {
ch <- prometheus.MustNewConstMetric(
c.RAMUsageDesc,
prometheus.GaugeValue,
ramUsage,
host,
)
}
}
// NewClusterManager creates the two Descs OOMCountDesc and RAMUsageDesc. Note
// that the zone is set as a ConstLabel. (It's different in each instance of the
// ClusterManager, but constant over the lifetime of an instance.) Then there is
// a variable label "host", since we want to partition the collected metrics by
// host. Since all Descs created in this way are consistent across instances,
// with a guaranteed distinction by the "zone" label, we can register different
// ClusterManager instances with the same registry.
func NewClusterManager(zone string) *ClusterManager {
return &ClusterManager{
Zone: zone,
OOMCountDesc: prometheus.NewDesc(
"clustermanager_oom_crashes_total",
"Number of OOM crashes.",
[]string{"host"},
prometheus.Labels{"zone": zone},
),
RAMUsageDesc: prometheus.NewDesc(
"clustermanager_ram_usage_bytes",
"RAM usage as reported to the cluster manager.",
[]string{"host"},
prometheus.Labels{"zone": zone},
),
}
}
func ExampleCollector() {
workerDB := NewClusterManager("db")
workerCA := NewClusterManager("ca")
// Since we are dealing with custom Collector implementations, it might
// be a good idea to try it out with a pedantic registry.
reg := prometheus.NewPedanticRegistry()
reg.MustRegister(workerDB)
reg.MustRegister(workerCA)
}
vendor/github.com/prometheus/client_golang/prometheus/expvar_collector.go deleted 100644 → 0
View file @ 99047aee
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"encoding/json"
"expvar"
)
type expvarCollector struct {
exports map[string]*Desc
}
// NewExpvarCollector returns a newly allocated expvar Collector that still has
// to be registered with a Prometheus registry.
//
// An expvar Collector collects metrics from the expvar interface. It provides a
// quick way to expose numeric values that are already exported via expvar as
// Prometheus metrics. Note that the data models of expvar and Prometheus are
// fundamentally different, and that the expvar Collector is inherently slower
// than native Prometheus metrics. Thus, the expvar Collector is probably great
// for experiments and prototying, but you should seriously consider a more
// direct implementation of Prometheus metrics for monitoring production
// systems.
//
// The exports map has the following meaning:
//
// The keys in the map correspond to expvar keys, i.e. for every expvar key you
// want to export as Prometheus metric, you need an entry in the exports
// map. The descriptor mapped to each key describes how to export the expvar
// value. It defines the name and the help string of the Prometheus metric
// proxying the expvar value. The type will always be Untyped.
//
// For descriptors without variable labels, the expvar value must be a number or
// a bool. The number is then directly exported as the Prometheus sample
// value. (For a bool, 'false' translates to 0 and 'true' to 1). Expvar values
// that are not numbers or bools are silently ignored.
//
// If the descriptor has one variable label, the expvar value must be an expvar
// map. The keys in the expvar map become the various values of the one
// Prometheus label. The values in the expvar map must be numbers or bools again
// as above.
//
// For descriptors with more than one variable label, the expvar must be a
// nested expvar map, i.e. where the values of the topmost map are maps again
// etc. until a depth is reached that corresponds to the number of labels. The
// leaves of that structure must be numbers or bools as above to serve as the
// sample values.
//
// Anything that does not fit into the scheme above is silently ignored.
func NewExpvarCollector(exports map[string]*Desc) Collector {
return &expvarCollector{
exports: exports,
}
}
// Describe implements Collector.
func (e *expvarCollector) Describe(ch chan<- *Desc) {
for _, desc := range e.exports {
ch <- desc
}
}
// Collect implements Collector.
func (e *expvarCollector) Collect(ch chan<- Metric) {
for name, desc := range e.exports {
var m Metric
expVar := expvar.Get(name)
if expVar == nil {
continue
}
var v interface{}
labels := make([]string, len(desc.variableLabels))
if err := json.Unmarshal([]byte(expVar.String()), &v); err != nil {
ch <- NewInvalidMetric(desc, err)
continue
}
var processValue func(v interface{}, i int)
processValue = func(v interface{}, i int) {
if i >= len(labels) {
copiedLabels := append(make([]string, 0, len(labels)), labels...)
switch v := v.(type) {
case float64:
m = MustNewConstMetric(desc, UntypedValue, v, copiedLabels...)
case bool:
if v {
m = MustNewConstMetric(desc, UntypedValue, 1, copiedLabels...)
} else {
m = MustNewConstMetric(desc, UntypedValue, 0, copiedLabels...)
}
default:
return
}
ch <- m
return
}
vm, ok := v.(map[string]interface{})
if !ok {
return
}
for lv, val := range vm {
labels[i] = lv
processValue(val, i+1)
}
}
processValue(v, 0)
}
}
vendor/github.com/prometheus/client_golang/prometheus/expvar_collector_test.go deleted 100644 → 0
View file @ 99047aee
// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus_test
import (
"expvar"
"fmt"
"sort"
"strings"
dto "github.com/prometheus/client_model/go"
"github.com/prometheus/client_golang/prometheus"
)
func ExampleExpvarCollector() {
expvarCollector := prometheus.NewExpvarCollector(map[string]*prometheus.Desc{
"memstats": prometheus.NewDesc(
"expvar_memstats",
"All numeric memstats as one metric family. Not a good role-model, actually... ;-)",
[]string{"type"}, nil,
),
"lone-int": prometheus.NewDesc(
"expvar_lone_int",
"Just an expvar int as an example.",
nil, nil,
),
"http-request-map": prometheus.NewDesc(
"expvar_http_request_total",
"How many http requests processed, partitioned by status code and http method.",
[]string{"code", "method"}, nil,
),
})
prometheus.MustRegister(expvarCollector)
// The Prometheus part is done here. But to show that this example is
// doing anything, we have to manually export something via expvar. In
// real-life use-cases, some library would already have exported via
// expvar what we want to re-export as Prometheus metrics.
expvar.NewInt("lone-int").Set(42)
expvarMap := expvar.NewMap("http-request-map")
var (
expvarMap1, expvarMap2 expvar.Map
expvarInt11, expvarInt12, expvarInt21, expvarInt22 expvar.Int
)
expvarMap1.Init()
expvarMap2.Init()
expvarInt11.Set(3)
expvarInt12.Set(13)
expvarInt21.Set(11)
expvarInt22.Set(212)
expvarMap1.Set("POST", &expvarInt11)
expvarMap1.Set("GET", &expvarInt12)
expvarMap2.Set("POST", &expvarInt21)
expvarMap2.Set("GET", &expvarInt22)
expvarMap.Set("404", &expvarMap1)
expvarMap.Set("200", &expvarMap2)
// Results in the following expvar map:
// "http-request-count": {"200": {"POST": 11, "GET": 212}, "404": {"POST": 3, "GET": 13}}
// Let's see what the scrape would yield, but exclude the memstats metrics.
metricStrings := []string{}
metric := dto.Metric{}
metricChan := make(chan prometheus.Metric)
go func() {
expvarCollector.Collect(metricChan)
close(metricChan)
}()
for m := range metricChan {
if strings.Index(m.Desc().String(), "expvar_memstats") == -1 {
metric.Reset()
m.Write(&metric)
metricStrings = append(metricStrings, metric.String())
}
}
sort.Strings(metricStrings)
for _, s := range metricStrings {
fmt.Println(strings.TrimRight(s, " "))
}
// Output:
// label:<name:"code" value:"200" > label:<name:"method" value:"GET" > untyped:<value:212 >
// label:<name:"code" value:"200" > label:<name:"method" value:"POST" > untyped:<value:11 >
// label:<name:"code" value:"404" > label:<name:"method" value:"GET" > untyped:<value:13 >
// label:<name:"code" value:"404" > label:<name:"method" value:"POST" > untyped:<value:3 >
// untyped:<value:42 >
}
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package prometheus
// Inline and byte-free variant of hash/fnv's fnv64a.
const (
offset64 = 14695981039346656037
prime64 = 1099511628211
)
// hashNew initializies a new fnv64a hash value.
func hashNew() uint64 {
return offset64
}
// hashAdd adds a string to a fnv64a hash value, returning the updated hash.
func hashAdd(h uint64, s string) uint64 {
for i := 0; i < len(s); i++ {
h ^= uint64(s[i])
h *= prime64
}
return h
}
// hashAddByte adds a byte to a fnv64a hash value, returning the updated hash.
func hashAddByte(h uint64, b byte) uint64 {
h ^= uint64(b)
h *= prime64
return h
}
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// Copyright 2014 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import "testing"
func TestBuildFQName(t *testing.T) {
scenarios := []struct{ namespace, subsystem, name, result string }{
{"a", "b", "c", "a_b_c"},
{"", "b", "c", "b_c"},
{"a", "", "c", "a_c"},
{"", "", "c", "c"},
{"a", "b", "", ""},
{"a", "", "", ""},
{"", "b", "", ""},
{" ", "", "", ""},
}
for i, s := range scenarios {
if want, got := s.result, BuildFQName(s.namespace, s.subsystem, s.name); want != got {
t.Errorf("%d. want %s, got %s", i, want, got)
}
}
}
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package prometheus
import (
"bytes"
"os"
"regexp"
"testing"
"github.com/prometheus/common/expfmt"
"github.com/prometheus/procfs"
)
func TestProcessCollector(t *testing.T) {
if _, err := procfs.Self(); err != nil {
t.Skipf("skipping TestProcessCollector, procfs not available: %s", err)
}
registry := NewRegistry()
if err := registry.Register(NewProcessCollector(os.Getpid(), "")); err != nil {
t.Fatal(err)
}
if err := registry.Register(NewProcessCollectorPIDFn(
func() (int, error) { return os.Getpid(), nil }, "foobar"),
); err != nil {
t.Fatal(err)
}
mfs, err := registry.Gather()
if err != nil {
t.Fatal(err)
}
var buf bytes.Buffer
for _, mf := range mfs {
if _, err := expfmt.MetricFamilyToText(&buf, mf); err != nil {
t.Fatal(err)
}
}
for _, re := range []*regexp.Regexp{
regexp.MustCompile("process_cpu_seconds_total [0-9]"),
regexp.MustCompile("process_max_fds [1-9]"),
regexp.MustCompile("process_open_fds [1-9]"),
regexp.MustCompile("process_virtual_memory_bytes [1-9]"),
regexp.MustCompile("process_resident_memory_bytes [1-9]"),
regexp.MustCompile("process_start_time_seconds [0-9.]{10,}"),
regexp.MustCompile("foobar_process_cpu_seconds_total [0-9]"),
regexp.MustCompile("foobar_process_max_fds [1-9]"),
regexp.MustCompile("foobar_process_open_fds [1-9]"),
regexp.MustCompile("foobar_process_virtual_memory_bytes [1-9]"),
regexp.MustCompile("foobar_process_resident_memory_bytes [1-9]"),
regexp.MustCompile("foobar_process_start_time_seconds [0-9.]{10,}"),
} {
if !re.Match(buf.Bytes()) {
t.Errorf("want body to match %s\n%s", re, buf.String())
}
}
}
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sudo: false
language: go
go:
- 1.9.x
- 1.x
go_import_path: github.com/prometheus/procfs
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# Contributing
Prometheus uses GitHub to manage reviews of pull requests.
* If you have a trivial fix or improvement, go ahead and create a pull request,
addressing (with `@...`) the maintainer of this repository (see
[MAINTAINERS.md](MAINTAINERS.md)) in the description of the pull request.
* If you plan to do something more involved, first discuss your ideas
on our [mailing list](https://groups.google.com/forum/?fromgroups#!forum/prometheus-developers).
This will avoid unnecessary work and surely give you and us a good deal
of inspiration.
* Relevant coding style guidelines are the [Go Code Review
Comments](https://code.google.com/p/go-wiki/wiki/CodeReviewComments)
and the _Formatting and style_ section of Peter Bourgon's [Go: Best
Practices for Production
Environments](http://peter.bourgon.org/go-in-production/#formatting-and-style).
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