client_golang/prometheus/histogram_test.go

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// Copyright 2015 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"
"math/rand"
"reflect"
"runtime"
"sort"
"sync"
"testing"
"testing/quick"
"time"
//lint:ignore SA1019 Need to keep deprecated package for compatibility.
"github.com/golang/protobuf/proto"
"github.com/golang/protobuf/ptypes"
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dto "github.com/prometheus/client_model/go"
)
func benchmarkHistogramObserve(w int, b *testing.B) {
b.StopTimer()
wg := new(sync.WaitGroup)
wg.Add(w)
g := new(sync.WaitGroup)
g.Add(1)
s := NewHistogram(HistogramOpts{})
for i := 0; i < w; i++ {
go func() {
g.Wait()
for i := 0; i < b.N; i++ {
s.Observe(float64(i))
}
wg.Done()
}()
}
b.StartTimer()
g.Done()
wg.Wait()
}
func BenchmarkHistogramObserve1(b *testing.B) {
benchmarkHistogramObserve(1, b)
}
func BenchmarkHistogramObserve2(b *testing.B) {
benchmarkHistogramObserve(2, b)
}
func BenchmarkHistogramObserve4(b *testing.B) {
benchmarkHistogramObserve(4, b)
}
func BenchmarkHistogramObserve8(b *testing.B) {
benchmarkHistogramObserve(8, b)
}
func benchmarkHistogramWrite(w int, b *testing.B) {
b.StopTimer()
wg := new(sync.WaitGroup)
wg.Add(w)
g := new(sync.WaitGroup)
g.Add(1)
s := NewHistogram(HistogramOpts{})
for i := 0; i < 1000000; i++ {
s.Observe(float64(i))
}
for j := 0; j < w; j++ {
outs := make([]dto.Metric, b.N)
go func(o []dto.Metric) {
g.Wait()
for i := 0; i < b.N; i++ {
s.Write(&o[i])
}
wg.Done()
}(outs)
}
b.StartTimer()
g.Done()
wg.Wait()
}
func BenchmarkHistogramWrite1(b *testing.B) {
benchmarkHistogramWrite(1, b)
}
func BenchmarkHistogramWrite2(b *testing.B) {
benchmarkHistogramWrite(2, b)
}
func BenchmarkHistogramWrite4(b *testing.B) {
benchmarkHistogramWrite(4, b)
}
func BenchmarkHistogramWrite8(b *testing.B) {
benchmarkHistogramWrite(8, b)
}
func TestHistogramNonMonotonicBuckets(t *testing.T) {
testCases := map[string][]float64{
"not strictly monotonic": {1, 2, 2, 3},
"not monotonic at all": {1, 2, 4, 3, 5},
"have +Inf in the middle": {1, 2, math.Inf(+1), 3},
}
for name, buckets := range testCases {
func() {
defer func() {
if r := recover(); r == nil {
t.Errorf("Buckets %v are %s but NewHistogram did not panic.", buckets, name)
}
}()
_ = NewHistogram(HistogramOpts{
Name: "test_histogram",
Help: "helpless",
Buckets: buckets,
})
}()
}
}
// Intentionally adding +Inf here to test if that case is handled correctly.
// Also, getCumulativeCounts depends on it.
var testBuckets = []float64{-2, -1, -0.5, 0, 0.5, 1, 2, math.Inf(+1)}
func TestHistogramConcurrency(t *testing.T) {
if testing.Short() {
t.Skip("Skipping test in short mode.")
}
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rand.Seed(42)
it := func(n uint32) bool {
mutations := int(n%1e4 + 1e4)
concLevel := int(n%5 + 1)
total := mutations * concLevel
var start, end sync.WaitGroup
start.Add(1)
end.Add(concLevel)
sum := NewHistogram(HistogramOpts{
Name: "test_histogram",
Help: "helpless",
Buckets: testBuckets,
})
allVars := make([]float64, total)
var sampleSum float64
for i := 0; i < concLevel; i++ {
vals := make([]float64, mutations)
for j := 0; j < mutations; j++ {
v := rand.NormFloat64()
vals[j] = v
allVars[i*mutations+j] = v
sampleSum += v
}
go func(vals []float64) {
start.Wait()
for _, v := range vals {
if n%2 == 0 {
sum.Observe(v)
} else {
sum.(ExemplarObserver).ObserveWithExemplar(v, Labels{"foo": "bar"})
}
}
end.Done()
}(vals)
}
sort.Float64s(allVars)
start.Done()
end.Wait()
m := &dto.Metric{}
sum.Write(m)
if got, want := int(*m.Histogram.SampleCount), total; got != want {
t.Errorf("got sample count %d, want %d", got, want)
}
if got, want := *m.Histogram.SampleSum, sampleSum; math.Abs((got-want)/want) > 0.001 {
t.Errorf("got sample sum %f, want %f", got, want)
}
wantCounts := getCumulativeCounts(allVars)
wantBuckets := len(testBuckets)
if !math.IsInf(m.Histogram.Bucket[len(m.Histogram.Bucket)-1].GetUpperBound(), +1) {
wantBuckets--
}
if got := len(m.Histogram.Bucket); got != wantBuckets {
t.Errorf("got %d buckets in protobuf, want %d", got, wantBuckets)
}
for i, wantBound := range testBuckets {
if i == len(testBuckets)-1 {
break // No +Inf bucket in protobuf.
}
if gotBound := *m.Histogram.Bucket[i].UpperBound; gotBound != wantBound {
t.Errorf("got bound %f, want %f", gotBound, wantBound)
}
if gotCount, wantCount := *m.Histogram.Bucket[i].CumulativeCount, wantCounts[i]; gotCount != wantCount {
t.Errorf("got count %d, want %d", gotCount, wantCount)
}
}
return true
}
if err := quick.Check(it, nil); err != nil {
t.Error(err)
}
}
func TestHistogramVecConcurrency(t *testing.T) {
if testing.Short() {
t.Skip("Skipping test in short mode.")
}
rand.Seed(42)
it := func(n uint32) bool {
mutations := int(n%1e4 + 1e4)
concLevel := int(n%7 + 1)
vecLength := int(n%3 + 1)
var start, end sync.WaitGroup
start.Add(1)
end.Add(concLevel)
his := NewHistogramVec(
HistogramOpts{
Name: "test_histogram",
Help: "helpless",
Buckets: []float64{-2, -1, -0.5, 0, 0.5, 1, 2, math.Inf(+1)},
},
[]string{"label"},
)
allVars := make([][]float64, vecLength)
sampleSums := make([]float64, vecLength)
for i := 0; i < concLevel; i++ {
vals := make([]float64, mutations)
picks := make([]int, mutations)
for j := 0; j < mutations; j++ {
v := rand.NormFloat64()
vals[j] = v
pick := rand.Intn(vecLength)
picks[j] = pick
allVars[pick] = append(allVars[pick], v)
sampleSums[pick] += v
}
go func(vals []float64) {
start.Wait()
for i, v := range vals {
his.WithLabelValues(string('A' + picks[i])).Observe(v)
}
end.Done()
}(vals)
}
for _, vars := range allVars {
sort.Float64s(vars)
}
start.Done()
end.Wait()
for i := 0; i < vecLength; i++ {
m := &dto.Metric{}
s := his.WithLabelValues(string('A' + i))
s.(Histogram).Write(m)
if got, want := len(m.Histogram.Bucket), len(testBuckets)-1; got != want {
t.Errorf("got %d buckets in protobuf, want %d", got, want)
}
if got, want := int(*m.Histogram.SampleCount), len(allVars[i]); got != want {
t.Errorf("got sample count %d, want %d", got, want)
}
if got, want := *m.Histogram.SampleSum, sampleSums[i]; math.Abs((got-want)/want) > 0.001 {
t.Errorf("got sample sum %f, want %f", got, want)
}
wantCounts := getCumulativeCounts(allVars[i])
for j, wantBound := range testBuckets {
if j == len(testBuckets)-1 {
break // No +Inf bucket in protobuf.
}
if gotBound := *m.Histogram.Bucket[j].UpperBound; gotBound != wantBound {
t.Errorf("got bound %f, want %f", gotBound, wantBound)
}
if gotCount, wantCount := *m.Histogram.Bucket[j].CumulativeCount, wantCounts[j]; gotCount != wantCount {
t.Errorf("got count %d, want %d", gotCount, wantCount)
}
}
}
return true
}
if err := quick.Check(it, nil); err != nil {
t.Error(err)
}
}
func getCumulativeCounts(vars []float64) []uint64 {
counts := make([]uint64, len(testBuckets))
for _, v := range vars {
for i := len(testBuckets) - 1; i >= 0; i-- {
if v > testBuckets[i] {
break
}
counts[i]++
}
}
return counts
}
func TestBuckets(t *testing.T) {
got := LinearBuckets(-15, 5, 6)
want := []float64{-15, -10, -5, 0, 5, 10}
if !reflect.DeepEqual(got, want) {
t.Errorf("linear buckets: got %v, want %v", got, want)
}
got = ExponentialBuckets(100, 1.2, 3)
want = []float64{100, 120, 144}
if !reflect.DeepEqual(got, want) {
t.Errorf("exponential buckets: got %v, want %v", got, want)
}
}
func TestHistogramAtomicObserve(t *testing.T) {
var (
quit = make(chan struct{})
his = NewHistogram(HistogramOpts{
Buckets: []float64{0.5, 10, 20},
})
)
defer func() { close(quit) }()
Make Histogram observations atomic while keeping them lock-free Fixes #275 This is rather tricky and required some studying of the Go memory model. I have added copious code comments to explain what's going on. Benchmarks haven't changed significantly, despite the additional atomic operations now required during Observe. Write performance is noticable, but it is also much more involved now and has a mutex. (But note that Write is supposed to be a relatively rare operation and thus not in the hot path compared to Observe.) Allocs haven't changed at all. OLD: BenchmarkHistogramWithLabelValues-4 10000000 151 ns/op 0 B/op 0 allocs/op BenchmarkHistogramNoLabels-4 50000000 36.0 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve1-4 50000000 28.1 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve2-4 10000000 160 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve4-4 5000000 378 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve8-4 2000000 768 ns/op 0 B/op 0 allocs/op BenchmarkHistogramWrite1-4 1000000 1589 ns/op 896 B/op 37 allocs/op BenchmarkHistogramWrite2-4 500000 2973 ns/op 1792 B/op 74 allocs/op BenchmarkHistogramWrite4-4 300000 6979 ns/op 3584 B/op 148 allocs/op BenchmarkHistogramWrite8-4 100000 10701 ns/op 7168 B/op 296 allocs/op NEW: BenchmarkHistogramWithLabelValues-4 10000000 191 ns/op 0 B/op 0 allocs/op BenchmarkHistogramNoLabels-4 30000000 50.1 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve1-4 30000000 40.0 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve2-4 20000000 91.5 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve4-4 5000000 317 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve8-4 2000000 636 ns/op 0 B/op 0 allocs/op BenchmarkHistogramWrite1-4 1000000 2072 ns/op 896 B/op 37 allocs/op BenchmarkHistogramWrite2-4 300000 3729 ns/op 1792 B/op 74 allocs/op BenchmarkHistogramWrite4-4 200000 7847 ns/op 3584 B/op 148 allocs/op BenchmarkHistogramWrite8-4 100000 16975 ns/op 7168 B/op 296 allocs/op Signed-off-by: beorn7 <beorn@soundcloud.com>
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observe := func() {
for {
select {
case <-quit:
return
default:
his.Observe(1)
}
}
Make Histogram observations atomic while keeping them lock-free Fixes #275 This is rather tricky and required some studying of the Go memory model. I have added copious code comments to explain what's going on. Benchmarks haven't changed significantly, despite the additional atomic operations now required during Observe. Write performance is noticable, but it is also much more involved now and has a mutex. (But note that Write is supposed to be a relatively rare operation and thus not in the hot path compared to Observe.) Allocs haven't changed at all. OLD: BenchmarkHistogramWithLabelValues-4 10000000 151 ns/op 0 B/op 0 allocs/op BenchmarkHistogramNoLabels-4 50000000 36.0 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve1-4 50000000 28.1 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve2-4 10000000 160 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve4-4 5000000 378 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve8-4 2000000 768 ns/op 0 B/op 0 allocs/op BenchmarkHistogramWrite1-4 1000000 1589 ns/op 896 B/op 37 allocs/op BenchmarkHistogramWrite2-4 500000 2973 ns/op 1792 B/op 74 allocs/op BenchmarkHistogramWrite4-4 300000 6979 ns/op 3584 B/op 148 allocs/op BenchmarkHistogramWrite8-4 100000 10701 ns/op 7168 B/op 296 allocs/op NEW: BenchmarkHistogramWithLabelValues-4 10000000 191 ns/op 0 B/op 0 allocs/op BenchmarkHistogramNoLabels-4 30000000 50.1 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve1-4 30000000 40.0 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve2-4 20000000 91.5 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve4-4 5000000 317 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve8-4 2000000 636 ns/op 0 B/op 0 allocs/op BenchmarkHistogramWrite1-4 1000000 2072 ns/op 896 B/op 37 allocs/op BenchmarkHistogramWrite2-4 300000 3729 ns/op 1792 B/op 74 allocs/op BenchmarkHistogramWrite4-4 200000 7847 ns/op 3584 B/op 148 allocs/op BenchmarkHistogramWrite8-4 100000 16975 ns/op 7168 B/op 296 allocs/op Signed-off-by: beorn7 <beorn@soundcloud.com>
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}
go observe()
go observe()
go observe()
for i := 0; i < 100; i++ {
m := &dto.Metric{}
if err := his.Write(m); err != nil {
t.Fatal("unexpected error writing histogram:", err)
}
h := m.GetHistogram()
if h.GetSampleCount() != uint64(h.GetSampleSum()) ||
Make Histogram observations atomic while keeping them lock-free Fixes #275 This is rather tricky and required some studying of the Go memory model. I have added copious code comments to explain what's going on. Benchmarks haven't changed significantly, despite the additional atomic operations now required during Observe. Write performance is noticable, but it is also much more involved now and has a mutex. (But note that Write is supposed to be a relatively rare operation and thus not in the hot path compared to Observe.) Allocs haven't changed at all. OLD: BenchmarkHistogramWithLabelValues-4 10000000 151 ns/op 0 B/op 0 allocs/op BenchmarkHistogramNoLabels-4 50000000 36.0 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve1-4 50000000 28.1 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve2-4 10000000 160 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve4-4 5000000 378 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve8-4 2000000 768 ns/op 0 B/op 0 allocs/op BenchmarkHistogramWrite1-4 1000000 1589 ns/op 896 B/op 37 allocs/op BenchmarkHistogramWrite2-4 500000 2973 ns/op 1792 B/op 74 allocs/op BenchmarkHistogramWrite4-4 300000 6979 ns/op 3584 B/op 148 allocs/op BenchmarkHistogramWrite8-4 100000 10701 ns/op 7168 B/op 296 allocs/op NEW: BenchmarkHistogramWithLabelValues-4 10000000 191 ns/op 0 B/op 0 allocs/op BenchmarkHistogramNoLabels-4 30000000 50.1 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve1-4 30000000 40.0 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve2-4 20000000 91.5 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve4-4 5000000 317 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve8-4 2000000 636 ns/op 0 B/op 0 allocs/op BenchmarkHistogramWrite1-4 1000000 2072 ns/op 896 B/op 37 allocs/op BenchmarkHistogramWrite2-4 300000 3729 ns/op 1792 B/op 74 allocs/op BenchmarkHistogramWrite4-4 200000 7847 ns/op 3584 B/op 148 allocs/op BenchmarkHistogramWrite8-4 100000 16975 ns/op 7168 B/op 296 allocs/op Signed-off-by: beorn7 <beorn@soundcloud.com>
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h.GetSampleCount() != h.GetBucket()[1].GetCumulativeCount() ||
h.GetSampleCount() != h.GetBucket()[2].GetCumulativeCount() {
t.Fatalf(
Make Histogram observations atomic while keeping them lock-free Fixes #275 This is rather tricky and required some studying of the Go memory model. I have added copious code comments to explain what's going on. Benchmarks haven't changed significantly, despite the additional atomic operations now required during Observe. Write performance is noticable, but it is also much more involved now and has a mutex. (But note that Write is supposed to be a relatively rare operation and thus not in the hot path compared to Observe.) Allocs haven't changed at all. OLD: BenchmarkHistogramWithLabelValues-4 10000000 151 ns/op 0 B/op 0 allocs/op BenchmarkHistogramNoLabels-4 50000000 36.0 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve1-4 50000000 28.1 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve2-4 10000000 160 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve4-4 5000000 378 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve8-4 2000000 768 ns/op 0 B/op 0 allocs/op BenchmarkHistogramWrite1-4 1000000 1589 ns/op 896 B/op 37 allocs/op BenchmarkHistogramWrite2-4 500000 2973 ns/op 1792 B/op 74 allocs/op BenchmarkHistogramWrite4-4 300000 6979 ns/op 3584 B/op 148 allocs/op BenchmarkHistogramWrite8-4 100000 10701 ns/op 7168 B/op 296 allocs/op NEW: BenchmarkHistogramWithLabelValues-4 10000000 191 ns/op 0 B/op 0 allocs/op BenchmarkHistogramNoLabels-4 30000000 50.1 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve1-4 30000000 40.0 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve2-4 20000000 91.5 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve4-4 5000000 317 ns/op 0 B/op 0 allocs/op BenchmarkHistogramObserve8-4 2000000 636 ns/op 0 B/op 0 allocs/op BenchmarkHistogramWrite1-4 1000000 2072 ns/op 896 B/op 37 allocs/op BenchmarkHistogramWrite2-4 300000 3729 ns/op 1792 B/op 74 allocs/op BenchmarkHistogramWrite4-4 200000 7847 ns/op 3584 B/op 148 allocs/op BenchmarkHistogramWrite8-4 100000 16975 ns/op 7168 B/op 296 allocs/op Signed-off-by: beorn7 <beorn@soundcloud.com>
2018-09-07 17:20:30 +03:00
"inconsistent counts in histogram: count=%d sum=%f buckets=[%d, %d]",
h.GetSampleCount(), h.GetSampleSum(),
h.GetBucket()[1].GetCumulativeCount(), h.GetBucket()[2].GetCumulativeCount(),
)
}
runtime.Gosched()
}
}
func TestHistogramExemplar(t *testing.T) {
now := time.Now()
histogram := NewHistogram(HistogramOpts{
Name: "test",
Help: "test help",
Buckets: []float64{1, 2, 3, 4},
}).(*histogram)
histogram.now = func() time.Time { return now }
ts, err := ptypes.TimestampProto(now)
if err != nil {
t.Fatal(err)
}
expectedExemplars := []*dto.Exemplar{
nil,
&dto.Exemplar{
Label: []*dto.LabelPair{
&dto.LabelPair{Name: proto.String("id"), Value: proto.String("2")},
},
Value: proto.Float64(1.6),
Timestamp: ts,
},
nil,
&dto.Exemplar{
Label: []*dto.LabelPair{
&dto.LabelPair{Name: proto.String("id"), Value: proto.String("3")},
},
Value: proto.Float64(4),
Timestamp: ts,
},
&dto.Exemplar{
Label: []*dto.LabelPair{
&dto.LabelPair{Name: proto.String("id"), Value: proto.String("4")},
},
Value: proto.Float64(4.5),
Timestamp: ts,
},
}
histogram.ObserveWithExemplar(1.5, Labels{"id": "1"})
histogram.ObserveWithExemplar(1.6, Labels{"id": "2"}) // To replace exemplar in bucket 0.
histogram.ObserveWithExemplar(4, Labels{"id": "3"})
histogram.ObserveWithExemplar(4.5, Labels{"id": "4"}) // Should go to +Inf bucket.
for i, ex := range histogram.exemplars {
var got, expected string
if val := ex.Load(); val != nil {
got = val.(*dto.Exemplar).String()
}
if expectedExemplars[i] != nil {
expected = expectedExemplars[i].String()
}
if got != expected {
t.Errorf("expected exemplar %s, got %s.", expected, got)
}
}
}