2022-11-01 17:50:49 +02:00
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// Copyright The OpenTelemetry Authors
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2024-02-29 08:05:28 +02:00
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// SPDX-License-Identifier: Apache-2.0
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2022-11-01 17:50:49 +02:00
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package metric // import "go.opentelemetry.io/otel/sdk/metric"
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import (
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"context"
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"fmt"
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"runtime"
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"strconv"
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"testing"
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"github.com/stretchr/testify/assert"
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"go.opentelemetry.io/otel/attribute"
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"go.opentelemetry.io/otel/metric"
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2023-02-02 20:16:25 +02:00
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"go.opentelemetry.io/otel/sdk/metric/metricdata"
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2024-01-31 23:15:35 +02:00
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"go.opentelemetry.io/otel/trace"
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)
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2023-04-14 16:51:10 +02:00
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var viewBenchmarks = []struct {
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Name string
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Views []View
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}{
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{"NoView", []View{}},
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{
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"DropView",
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[]View{NewView(
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Instrument{Name: "*"},
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Stream{Aggregation: AggregationDrop{}},
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)},
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},
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{
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"AttrFilterView",
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[]View{NewView(
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Instrument{Name: "*"},
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2023-08-25 16:39:43 +02:00
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Stream{AttributeFilter: attribute.NewAllowKeysFilter("K")},
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)},
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},
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}
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func BenchmarkSyncMeasure(b *testing.B) {
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for _, bc := range viewBenchmarks {
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b.Run(bc.Name, benchSyncViews(bc.Views...))
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}
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}
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func benchSyncViews(views ...View) func(*testing.B) {
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ctx := context.Background()
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rdr := NewManualReader()
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provider := NewMeterProvider(WithReader(rdr), WithView(views...))
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meter := provider.Meter("benchSyncViews")
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return func(b *testing.B) {
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iCtr, err := meter.Int64Counter("int64-counter")
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assert.NoError(b, err)
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b.Run("Int64Counter", benchMeasAttrs(func() measF {
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return func(s attribute.Set) func() {
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o := []metric.AddOption{metric.WithAttributeSet(s)}
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return func() { iCtr.Add(ctx, 1, o...) }
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}
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}()))
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fCtr, err := meter.Float64Counter("float64-counter")
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assert.NoError(b, err)
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b.Run("Float64Counter", benchMeasAttrs(func() measF {
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return func(s attribute.Set) func() {
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o := []metric.AddOption{metric.WithAttributeSet(s)}
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return func() { fCtr.Add(ctx, 1, o...) }
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}
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}()))
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iUDCtr, err := meter.Int64UpDownCounter("int64-up-down-counter")
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assert.NoError(b, err)
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b.Run("Int64UpDownCounter", benchMeasAttrs(func() measF {
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return func(s attribute.Set) func() {
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o := []metric.AddOption{metric.WithAttributeSet(s)}
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return func() { iUDCtr.Add(ctx, 1, o...) }
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}
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}()))
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fUDCtr, err := meter.Float64UpDownCounter("float64-up-down-counter")
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assert.NoError(b, err)
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b.Run("Float64UpDownCounter", benchMeasAttrs(func() measF {
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return func(s attribute.Set) func() {
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o := []metric.AddOption{metric.WithAttributeSet(s)}
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return func() { fUDCtr.Add(ctx, 1, o...) }
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}
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}()))
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iHist, err := meter.Int64Histogram("int64-histogram")
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assert.NoError(b, err)
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b.Run("Int64Histogram", benchMeasAttrs(func() measF {
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return func(s attribute.Set) func() {
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o := []metric.RecordOption{metric.WithAttributeSet(s)}
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return func() { iHist.Record(ctx, 1, o...) }
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}
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}()))
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fHist, err := meter.Float64Histogram("float64-histogram")
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assert.NoError(b, err)
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b.Run("Float64Histogram", benchMeasAttrs(func() measF {
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return func(s attribute.Set) func() {
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o := []metric.RecordOption{metric.WithAttributeSet(s)}
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return func() { fHist.Record(ctx, 1, o...) }
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}
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}()))
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}
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}
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type measF func(s attribute.Set) func()
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func benchMeasAttrs(meas measF) func(*testing.B) {
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return func(b *testing.B) {
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b.Run("Attributes/0", func(b *testing.B) {
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f := meas(*attribute.EmptySet())
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b.ReportAllocs()
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b.ResetTimer()
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for n := 0; n < b.N; n++ {
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f()
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}
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})
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b.Run("Attributes/1", func(b *testing.B) {
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f := meas(attribute.NewSet(attribute.Bool("K", true)))
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b.ReportAllocs()
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b.ResetTimer()
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for n := 0; n < b.N; n++ {
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f()
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}
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})
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b.Run("Attributes/10", func(b *testing.B) {
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n := 10
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attrs := make([]attribute.KeyValue, 0)
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attrs = append(attrs, attribute.Bool("K", true))
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for i := 2; i < n; i++ {
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attrs = append(attrs, attribute.Int(strconv.Itoa(i), i))
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}
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f := meas(attribute.NewSet(attrs...))
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b.ReportAllocs()
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b.ResetTimer()
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for n := 0; n < b.N; n++ {
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f()
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}
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})
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}
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}
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func BenchmarkCollect(b *testing.B) {
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for _, bc := range viewBenchmarks {
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b.Run(bc.Name, benchCollectViews(bc.Views...))
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}
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}
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func benchCollectViews(views ...View) func(*testing.B) {
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setup := func(name string) (metric.Meter, Reader) {
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r := NewManualReader()
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mp := NewMeterProvider(WithReader(r), WithView(views...))
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return mp.Meter(name), r
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}
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ctx := context.Background()
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return func(b *testing.B) {
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b.Run("Int64Counter/1", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Int64Counter")
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i, err := m.Int64Counter("int64-counter")
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assert.NoError(b, err)
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i.Add(ctx, 1, metric.WithAttributeSet(s))
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return r
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}))
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b.Run("Int64Counter/10", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Int64Counter")
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i, err := m.Int64Counter("int64-counter")
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assert.NoError(b, err)
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for n := 0; n < 10; n++ {
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i.Add(ctx, 1, metric.WithAttributeSet(s))
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}
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return r
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}))
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2023-04-18 16:16:06 +02:00
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b.Run("Float64Counter/1", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Float64Counter")
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i, err := m.Float64Counter("float64-counter")
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assert.NoError(b, err)
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i.Add(ctx, 1, metric.WithAttributeSet(s))
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return r
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}))
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b.Run("Float64Counter/10", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Float64Counter")
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i, err := m.Float64Counter("float64-counter")
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assert.NoError(b, err)
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for n := 0; n < 10; n++ {
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i.Add(ctx, 1, metric.WithAttributeSet(s))
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}
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return r
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}))
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b.Run("Int64UpDownCounter/1", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Int64UpDownCounter")
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i, err := m.Int64UpDownCounter("int64-up-down-counter")
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assert.NoError(b, err)
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i.Add(ctx, 1, metric.WithAttributeSet(s))
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return r
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}))
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b.Run("Int64UpDownCounter/10", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Int64UpDownCounter")
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i, err := m.Int64UpDownCounter("int64-up-down-counter")
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assert.NoError(b, err)
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for n := 0; n < 10; n++ {
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i.Add(ctx, 1, metric.WithAttributeSet(s))
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}
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return r
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}))
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2023-04-18 16:16:06 +02:00
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b.Run("Float64UpDownCounter/1", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Float64UpDownCounter")
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i, err := m.Float64UpDownCounter("float64-up-down-counter")
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assert.NoError(b, err)
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i.Add(ctx, 1, metric.WithAttributeSet(s))
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return r
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}))
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b.Run("Float64UpDownCounter/10", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Float64UpDownCounter")
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i, err := m.Float64UpDownCounter("float64-up-down-counter")
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assert.NoError(b, err)
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for n := 0; n < 10; n++ {
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i.Add(ctx, 1, metric.WithAttributeSet(s))
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}
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return r
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}))
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2023-04-18 16:16:06 +02:00
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b.Run("Int64Histogram/1", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Int64Histogram")
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i, err := m.Int64Histogram("int64-histogram")
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assert.NoError(b, err)
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i.Record(ctx, 1, metric.WithAttributeSet(s))
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return r
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}))
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2023-04-18 16:16:06 +02:00
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b.Run("Int64Histogram/10", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Int64Histogram")
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i, err := m.Int64Histogram("int64-histogram")
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assert.NoError(b, err)
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for n := 0; n < 10; n++ {
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i.Record(ctx, 1, metric.WithAttributeSet(s))
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}
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return r
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}))
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2023-04-18 16:16:06 +02:00
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b.Run("Float64Histogram/1", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Float64Histogram")
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i, err := m.Float64Histogram("float64-histogram")
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assert.NoError(b, err)
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i.Record(ctx, 1, metric.WithAttributeSet(s))
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return r
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}))
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b.Run("Float64Histogram/10", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Float64Histogram")
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i, err := m.Float64Histogram("float64-histogram")
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assert.NoError(b, err)
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for n := 0; n < 10; n++ {
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i.Record(ctx, 1, metric.WithAttributeSet(s))
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}
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return r
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}))
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b.Run("Int64ObservableCounter", benchCollectAttrs(func(s attribute.Set) Reader {
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m, r := setup("benchCollectViews/Int64ObservableCounter")
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_, err := m.Int64ObservableCounter(
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"int64-observable-counter",
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2023-04-27 20:25:48 +02:00
|
|
|
metric.WithInt64Callback(int64Cback(s)),
|
2023-04-14 16:51:10 +02:00
|
|
|
)
|
|
|
|
assert.NoError(b, err)
|
|
|
|
return r
|
|
|
|
}))
|
2022-11-01 17:50:49 +02:00
|
|
|
|
2023-04-18 16:16:06 +02:00
|
|
|
b.Run("Float64ObservableCounter", benchCollectAttrs(func(s attribute.Set) Reader {
|
2023-04-14 16:51:10 +02:00
|
|
|
m, r := setup("benchCollectViews/Float64ObservableCounter")
|
|
|
|
_, err := m.Float64ObservableCounter(
|
|
|
|
"float64-observable-counter",
|
2023-04-27 20:25:48 +02:00
|
|
|
metric.WithFloat64Callback(float64Cback(s)),
|
2023-04-14 16:51:10 +02:00
|
|
|
)
|
|
|
|
assert.NoError(b, err)
|
|
|
|
return r
|
|
|
|
}))
|
2022-11-01 17:50:49 +02:00
|
|
|
|
2023-04-18 16:16:06 +02:00
|
|
|
b.Run("Int64ObservableUpDownCounter", benchCollectAttrs(func(s attribute.Set) Reader {
|
2023-04-14 16:51:10 +02:00
|
|
|
m, r := setup("benchCollectViews/Int64ObservableUpDownCounter")
|
|
|
|
_, err := m.Int64ObservableUpDownCounter(
|
|
|
|
"int64-observable-up-down-counter",
|
2023-04-27 20:25:48 +02:00
|
|
|
metric.WithInt64Callback(int64Cback(s)),
|
2023-04-14 16:51:10 +02:00
|
|
|
)
|
|
|
|
assert.NoError(b, err)
|
|
|
|
return r
|
|
|
|
}))
|
2022-11-01 17:50:49 +02:00
|
|
|
|
2023-04-18 16:16:06 +02:00
|
|
|
b.Run("Float64ObservableUpDownCounter", benchCollectAttrs(func(s attribute.Set) Reader {
|
2023-04-14 16:51:10 +02:00
|
|
|
m, r := setup("benchCollectViews/Float64ObservableUpDownCounter")
|
|
|
|
_, err := m.Float64ObservableUpDownCounter(
|
|
|
|
"float64-observable-up-down-counter",
|
2023-04-27 20:25:48 +02:00
|
|
|
metric.WithFloat64Callback(float64Cback(s)),
|
2023-04-14 16:51:10 +02:00
|
|
|
)
|
|
|
|
assert.NoError(b, err)
|
|
|
|
return r
|
|
|
|
}))
|
|
|
|
|
2023-04-18 16:16:06 +02:00
|
|
|
b.Run("Int64ObservableGauge", benchCollectAttrs(func(s attribute.Set) Reader {
|
2023-04-14 16:51:10 +02:00
|
|
|
m, r := setup("benchCollectViews/Int64ObservableGauge")
|
|
|
|
_, err := m.Int64ObservableGauge(
|
|
|
|
"int64-observable-gauge",
|
2023-04-27 20:25:48 +02:00
|
|
|
metric.WithInt64Callback(int64Cback(s)),
|
2023-04-14 16:51:10 +02:00
|
|
|
)
|
|
|
|
assert.NoError(b, err)
|
|
|
|
return r
|
|
|
|
}))
|
|
|
|
|
2023-04-18 16:16:06 +02:00
|
|
|
b.Run("Float64ObservableGauge", benchCollectAttrs(func(s attribute.Set) Reader {
|
2023-04-14 16:51:10 +02:00
|
|
|
m, r := setup("benchCollectViews/Float64ObservableGauge")
|
|
|
|
_, err := m.Float64ObservableGauge(
|
|
|
|
"float64-observable-gauge",
|
2023-04-27 20:25:48 +02:00
|
|
|
metric.WithFloat64Callback(float64Cback(s)),
|
2023-04-14 16:51:10 +02:00
|
|
|
)
|
|
|
|
assert.NoError(b, err)
|
|
|
|
return r
|
|
|
|
}))
|
2022-11-01 17:50:49 +02:00
|
|
|
}
|
|
|
|
}
|
|
|
|
|
2023-04-27 20:25:48 +02:00
|
|
|
func int64Cback(s attribute.Set) metric.Int64Callback {
|
|
|
|
opt := []metric.ObserveOption{metric.WithAttributeSet(s)}
|
|
|
|
return func(_ context.Context, o metric.Int64Observer) error {
|
2023-04-18 16:16:06 +02:00
|
|
|
o.Observe(1, opt...)
|
2023-04-14 16:51:10 +02:00
|
|
|
return nil
|
2022-11-01 17:50:49 +02:00
|
|
|
}
|
|
|
|
}
|
2023-02-02 20:16:25 +02:00
|
|
|
|
2023-04-27 20:25:48 +02:00
|
|
|
func float64Cback(s attribute.Set) metric.Float64Callback {
|
|
|
|
opt := []metric.ObserveOption{metric.WithAttributeSet(s)}
|
|
|
|
return func(_ context.Context, o metric.Float64Observer) error {
|
2023-04-18 16:16:06 +02:00
|
|
|
o.Observe(1, opt...)
|
2023-04-14 16:51:10 +02:00
|
|
|
return nil
|
|
|
|
}
|
2023-02-02 20:16:25 +02:00
|
|
|
}
|
|
|
|
|
2023-04-18 16:16:06 +02:00
|
|
|
func benchCollectAttrs(setup func(attribute.Set) Reader) func(*testing.B) {
|
2023-02-02 20:16:25 +02:00
|
|
|
ctx := context.Background()
|
2023-04-14 16:51:10 +02:00
|
|
|
out := new(metricdata.ResourceMetrics)
|
|
|
|
run := func(reader Reader) func(b *testing.B) {
|
|
|
|
return func(b *testing.B) {
|
|
|
|
b.ReportAllocs()
|
|
|
|
for n := 0; n < b.N; n++ {
|
|
|
|
_ = reader.Collect(ctx, out)
|
|
|
|
}
|
|
|
|
}
|
2023-02-02 20:16:25 +02:00
|
|
|
}
|
|
|
|
return func(b *testing.B) {
|
2023-04-18 16:16:06 +02:00
|
|
|
b.Run("Attributes/0", run(setup(*attribute.EmptySet())))
|
2023-02-02 20:16:25 +02:00
|
|
|
|
2023-04-14 16:51:10 +02:00
|
|
|
attrs := []attribute.KeyValue{attribute.Bool("K", true)}
|
2023-04-18 16:16:06 +02:00
|
|
|
b.Run("Attributes/1", run(setup(attribute.NewSet(attrs...))))
|
2023-04-14 16:51:10 +02:00
|
|
|
|
|
|
|
for i := 2; i < 10; i++ {
|
|
|
|
attrs = append(attrs, attribute.Int(strconv.Itoa(i), i))
|
2023-02-02 20:16:25 +02:00
|
|
|
}
|
2023-04-18 16:16:06 +02:00
|
|
|
b.Run("Attributes/10", run(setup(attribute.NewSet(attrs...))))
|
2023-02-02 20:16:25 +02:00
|
|
|
}
|
|
|
|
}
|
2024-01-31 23:15:35 +02:00
|
|
|
|
|
|
|
func BenchmarkExemplars(b *testing.B) {
|
|
|
|
sc := trace.NewSpanContext(trace.SpanContextConfig{
|
|
|
|
SpanID: trace.SpanID{0o1},
|
|
|
|
TraceID: trace.TraceID{0o1},
|
|
|
|
TraceFlags: trace.FlagsSampled,
|
|
|
|
})
|
|
|
|
ctx := trace.ContextWithSpanContext(context.Background(), sc)
|
|
|
|
|
|
|
|
attr := attribute.NewSet(
|
|
|
|
attribute.String("user", "Alice"),
|
|
|
|
attribute.Bool("admin", true),
|
|
|
|
)
|
|
|
|
|
|
|
|
setup := func(name string) (metric.Meter, Reader) {
|
|
|
|
r := NewManualReader()
|
|
|
|
v := NewView(Instrument{Name: "*"}, Stream{
|
|
|
|
AttributeFilter: func(kv attribute.KeyValue) bool {
|
|
|
|
return kv.Key == attribute.Key("user")
|
|
|
|
},
|
|
|
|
})
|
|
|
|
mp := NewMeterProvider(WithReader(r), WithView(v))
|
|
|
|
return mp.Meter(name), r
|
|
|
|
}
|
|
|
|
nCPU := runtime.NumCPU() // Size of the fixed reservoir used.
|
|
|
|
|
|
|
|
b.Setenv("OTEL_GO_X_EXEMPLAR", "true")
|
|
|
|
|
|
|
|
name := fmt.Sprintf("Int64Counter/%d", nCPU)
|
|
|
|
b.Run(name, func(b *testing.B) {
|
|
|
|
m, r := setup("Int64Counter")
|
|
|
|
i, err := m.Int64Counter("int64-counter")
|
|
|
|
assert.NoError(b, err)
|
|
|
|
|
|
|
|
rm := newRM(metricdata.Sum[int64]{
|
|
|
|
DataPoints: []metricdata.DataPoint[int64]{
|
|
|
|
{Exemplars: make([]metricdata.Exemplar[int64], 0, nCPU)},
|
|
|
|
},
|
|
|
|
})
|
|
|
|
e := &(rm.ScopeMetrics[0].Metrics[0].Data.(metricdata.Sum[int64]).DataPoints[0].Exemplars)
|
|
|
|
|
|
|
|
b.ReportAllocs()
|
|
|
|
b.ResetTimer()
|
|
|
|
for n := 0; n < b.N; n++ {
|
|
|
|
for j := 0; j < 2*nCPU; j++ {
|
|
|
|
i.Add(ctx, 1, metric.WithAttributeSet(attr))
|
|
|
|
}
|
|
|
|
|
|
|
|
_ = r.Collect(ctx, rm)
|
|
|
|
assert.Len(b, *e, nCPU)
|
|
|
|
}
|
|
|
|
})
|
|
|
|
|
|
|
|
name = fmt.Sprintf("Int64Histogram/%d", nCPU)
|
|
|
|
b.Run(name, func(b *testing.B) {
|
|
|
|
m, r := setup("Int64Counter")
|
|
|
|
i, err := m.Int64Histogram("int64-histogram")
|
|
|
|
assert.NoError(b, err)
|
|
|
|
|
|
|
|
rm := newRM(metricdata.Histogram[int64]{
|
|
|
|
DataPoints: []metricdata.HistogramDataPoint[int64]{
|
|
|
|
{Exemplars: make([]metricdata.Exemplar[int64], 0, 1)},
|
|
|
|
},
|
|
|
|
})
|
|
|
|
e := &(rm.ScopeMetrics[0].Metrics[0].Data.(metricdata.Histogram[int64]).DataPoints[0].Exemplars)
|
|
|
|
|
|
|
|
b.ReportAllocs()
|
|
|
|
b.ResetTimer()
|
|
|
|
for n := 0; n < b.N; n++ {
|
|
|
|
for j := 0; j < 2*nCPU; j++ {
|
|
|
|
i.Record(ctx, 1, metric.WithAttributeSet(attr))
|
|
|
|
}
|
|
|
|
|
|
|
|
_ = r.Collect(ctx, rm)
|
|
|
|
assert.Len(b, *e, 1)
|
|
|
|
}
|
|
|
|
})
|
|
|
|
}
|
|
|
|
|
|
|
|
func newRM(a metricdata.Aggregation) *metricdata.ResourceMetrics {
|
|
|
|
return &metricdata.ResourceMetrics{
|
|
|
|
ScopeMetrics: []metricdata.ScopeMetrics{
|
|
|
|
{Metrics: []metricdata.Metrics{{Data: a}}},
|
|
|
|
},
|
|
|
|
}
|
|
|
|
}
|