client_golang/api/prometheus/v1/api_bench_test.go

200 lines
5.6 KiB
Go

// Copyright 2019 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 v1
import (
"encoding/json"
"strconv"
"testing"
"time"
jsoniter "github.com/json-iterator/go"
"github.com/prometheus/common/model"
)
func generateData(timeseries, datapoints int) (floatMatrix, histogramMatrix model.Matrix) {
for i := 0; i < timeseries; i++ {
lset := map[model.LabelName]model.LabelValue{
model.MetricNameLabel: model.LabelValue("timeseries_" + strconv.Itoa(i)),
"foo": "bar",
}
now := model.Time(1677587274055)
floats := make([]model.SamplePair, datapoints)
histograms := make([]model.SampleHistogramPair, datapoints)
for x := datapoints; x > 0; x-- {
f := float64(x)
floats[x-1] = model.SamplePair{
// Set the time back assuming a 15s interval. Since this is used for
// Marshal/Unmarshal testing the actual interval doesn't matter.
Timestamp: now.Add(time.Second * -15 * time.Duration(x)),
Value: model.SampleValue(f),
}
histograms[x-1] = model.SampleHistogramPair{
Timestamp: now.Add(time.Second * -15 * time.Duration(x)),
Histogram: &model.SampleHistogram{
Count: model.FloatString(13.5 * f),
Sum: model.FloatString(.1 * f),
Buckets: model.HistogramBuckets{
{
Boundaries: 1,
Lower: -4870.992343051145,
Upper: -4466.7196729968955,
Count: model.FloatString(1 * f),
},
{
Boundaries: 1,
Lower: -861.0779292198035,
Upper: -789.6119426088657,
Count: model.FloatString(2 * f),
},
{
Boundaries: 1,
Lower: -558.3399591246119,
Upper: -512,
Count: model.FloatString(3 * f),
},
{
Boundaries: 0,
Lower: 2048,
Upper: 2233.3598364984477,
Count: model.FloatString(1.5 * f),
},
{
Boundaries: 0,
Lower: 2896.3093757400984,
Upper: 3158.4477704354626,
Count: model.FloatString(2.5 * f),
},
{
Boundaries: 0,
Lower: 4466.7196729968955,
Upper: 4870.992343051145,
Count: model.FloatString(3.5 * f),
},
},
},
}
}
fss := &model.SampleStream{
Metric: model.Metric(lset),
Values: floats,
}
hss := &model.SampleStream{
Metric: model.Metric(lset),
Histograms: histograms,
}
floatMatrix = append(floatMatrix, fss)
histogramMatrix = append(histogramMatrix, hss)
}
return
}
func BenchmarkSamplesJsonSerialization(b *testing.B) {
for _, timeseriesCount := range []int{10, 100, 1000} {
b.Run(strconv.Itoa(timeseriesCount), func(b *testing.B) {
for _, datapointCount := range []int{10, 100, 1000} {
b.Run(strconv.Itoa(datapointCount), func(b *testing.B) {
floats, histograms := generateData(timeseriesCount, datapointCount)
floatBytes, err := json.Marshal(floats)
if err != nil {
b.Fatalf("Error marshaling: %v", err)
}
histogramBytes, err := json.Marshal(histograms)
if err != nil {
b.Fatalf("Error marshaling: %v", err)
}
b.Run("marshal", func(b *testing.B) {
b.Run("encoding/json/floats", func(b *testing.B) {
b.ReportAllocs()
for i := 0; i < b.N; i++ {
if _, err := json.Marshal(floats); err != nil {
b.Fatal(err)
}
}
})
b.Run("jsoniter/floats", func(b *testing.B) {
b.ReportAllocs()
for i := 0; i < b.N; i++ {
if _, err := jsoniter.Marshal(floats); err != nil {
b.Fatal(err)
}
}
})
b.Run("encoding/json/histograms", func(b *testing.B) {
b.ReportAllocs()
for i := 0; i < b.N; i++ {
if _, err := json.Marshal(histograms); err != nil {
b.Fatal(err)
}
}
})
b.Run("jsoniter/histograms", func(b *testing.B) {
b.ReportAllocs()
for i := 0; i < b.N; i++ {
if _, err := jsoniter.Marshal(histograms); err != nil {
b.Fatal(err)
}
}
})
})
b.Run("unmarshal", func(b *testing.B) {
b.Run("encoding/json/floats", func(b *testing.B) {
b.ReportAllocs()
var m model.Matrix
for i := 0; i < b.N; i++ {
if err := json.Unmarshal(floatBytes, &m); err != nil {
b.Fatal(err)
}
}
})
b.Run("jsoniter/floats", func(b *testing.B) {
b.ReportAllocs()
var m model.Matrix
for i := 0; i < b.N; i++ {
if err := jsoniter.Unmarshal(floatBytes, &m); err != nil {
b.Fatal(err)
}
}
})
b.Run("encoding/json/histograms", func(b *testing.B) {
b.ReportAllocs()
var m model.Matrix
for i := 0; i < b.N; i++ {
if err := json.Unmarshal(histogramBytes, &m); err != nil {
b.Fatal(err)
}
}
})
b.Run("jsoniter/histograms", func(b *testing.B) {
b.ReportAllocs()
var m model.Matrix
for i := 0; i < b.N; i++ {
if err := jsoniter.Unmarshal(histogramBytes, &m); err != nil {
b.Fatal(err)
}
}
})
})
})
}
})
}
}