mirror of
https://github.com/open-telemetry/opentelemetry-go.git
synced 2024-12-12 10:04:29 +02:00
a8ea3dbb46
* Replace use of old term label with attribute The specification has unified on the term attribute to describe key-value pairs. There exist still many hold-overs of the use of the term label. This updates those uses or deprecates exported types and functions in favor of renamed forms. * fix infinite recursion * Remove backticks from attribute set docs * Remove LabelFilterSelector entirely * Remove Metadata.Labels instead of deprecate * Update changelog with public changes * Revert OC err msg
398 lines
8.6 KiB
Go
398 lines
8.6 KiB
Go
// Copyright The OpenTelemetry Authors
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package metric_test
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import (
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"context"
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"fmt"
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"math/rand"
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"testing"
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"go.opentelemetry.io/otel/attribute"
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"go.opentelemetry.io/otel/metric"
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"go.opentelemetry.io/otel/metric/global"
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"go.opentelemetry.io/otel/metric/instrument"
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"go.opentelemetry.io/otel/metric/instrument/syncfloat64"
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"go.opentelemetry.io/otel/metric/instrument/syncint64"
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sdk "go.opentelemetry.io/otel/sdk/metric"
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"go.opentelemetry.io/otel/sdk/metric/export"
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"go.opentelemetry.io/otel/sdk/metric/processor/processortest"
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"go.opentelemetry.io/otel/sdk/metric/sdkapi"
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)
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type benchFixture struct {
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meter metric.Meter
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accumulator *sdk.Accumulator
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B *testing.B
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export.AggregatorSelector
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}
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func newFixture(b *testing.B) *benchFixture {
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b.ReportAllocs()
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bf := &benchFixture{
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B: b,
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AggregatorSelector: processortest.AggregatorSelector(),
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}
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bf.accumulator = sdk.NewAccumulator(bf)
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bf.meter = sdkapi.WrapMeterImpl(bf.accumulator)
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return bf
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}
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func (f *benchFixture) Process(export.Accumulation) error {
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return nil
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}
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func (f *benchFixture) Meter(_ string, _ ...metric.MeterOption) metric.Meter {
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return f.meter
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}
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func (f *benchFixture) iCounter(name string) syncint64.Counter {
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ctr, err := f.meter.SyncInt64().Counter(name)
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if err != nil {
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f.B.Error(err)
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}
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return ctr
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}
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func (f *benchFixture) fCounter(name string) syncfloat64.Counter {
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ctr, err := f.meter.SyncFloat64().Counter(name)
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if err != nil {
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f.B.Error(err)
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}
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return ctr
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}
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func (f *benchFixture) iHistogram(name string) syncint64.Histogram {
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ctr, err := f.meter.SyncInt64().Histogram(name)
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if err != nil {
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f.B.Error(err)
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}
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return ctr
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}
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func (f *benchFixture) fHistogram(name string) syncfloat64.Histogram {
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ctr, err := f.meter.SyncFloat64().Histogram(name)
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if err != nil {
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f.B.Error(err)
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}
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return ctr
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}
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func makeAttrs(n int) []attribute.KeyValue {
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used := map[string]bool{}
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l := make([]attribute.KeyValue, n)
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for i := 0; i < n; i++ {
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var k string
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for {
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k = fmt.Sprint("k", rand.Intn(1000000000))
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if !used[k] {
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used[k] = true
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break
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}
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}
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l[i] = attribute.String(k, fmt.Sprint("v", rand.Intn(1000000000)))
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}
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return l
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}
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func benchmarkAttrs(b *testing.B, n int) {
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ctx := context.Background()
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fix := newFixture(b)
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labs := makeAttrs(n)
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cnt := fix.iCounter("int64.sum")
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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cnt.Add(ctx, 1, labs...)
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}
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}
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func BenchmarkInt64CounterAddWithAttrs_1(b *testing.B) {
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benchmarkAttrs(b, 1)
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}
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func BenchmarkInt64CounterAddWithAttrs_2(b *testing.B) {
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benchmarkAttrs(b, 2)
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}
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func BenchmarkInt64CounterAddWithAttrs_4(b *testing.B) {
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benchmarkAttrs(b, 4)
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}
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func BenchmarkInt64CounterAddWithAttrs_8(b *testing.B) {
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benchmarkAttrs(b, 8)
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}
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func BenchmarkInt64CounterAddWithAttrs_16(b *testing.B) {
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benchmarkAttrs(b, 16)
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}
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// Note: performance does not depend on attribute set size for the benchmarks
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// below--all are benchmarked for a single attribute.
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// Iterators
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var benchmarkIteratorVar attribute.KeyValue
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func benchmarkIterator(b *testing.B, n int) {
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attrs := attribute.NewSet(makeAttrs(n)...)
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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iter := attrs.Iter()
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for iter.Next() {
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benchmarkIteratorVar = iter.Attribute()
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}
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}
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}
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func BenchmarkIterator_0(b *testing.B) {
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benchmarkIterator(b, 0)
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}
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func BenchmarkIterator_1(b *testing.B) {
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benchmarkIterator(b, 1)
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}
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func BenchmarkIterator_2(b *testing.B) {
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benchmarkIterator(b, 2)
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}
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func BenchmarkIterator_4(b *testing.B) {
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benchmarkIterator(b, 4)
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}
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func BenchmarkIterator_8(b *testing.B) {
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benchmarkIterator(b, 8)
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}
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func BenchmarkIterator_16(b *testing.B) {
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benchmarkIterator(b, 16)
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}
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// Counters
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func BenchmarkGlobalInt64CounterAddWithSDK(b *testing.B) {
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// Compare with BenchmarkInt64CounterAdd() to see overhead of global
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// package. This is in the SDK to avoid the API from depending on the
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// SDK.
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ctx := context.Background()
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fix := newFixture(b)
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global.SetMeterProvider(fix)
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labs := []attribute.KeyValue{attribute.String("A", "B")}
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cnt := fix.iCounter("int64.sum")
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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cnt.Add(ctx, 1, labs...)
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}
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}
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func BenchmarkInt64CounterAdd(b *testing.B) {
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ctx := context.Background()
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fix := newFixture(b)
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labs := makeAttrs(1)
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cnt := fix.iCounter("int64.sum")
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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cnt.Add(ctx, 1, labs...)
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}
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}
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func BenchmarkFloat64CounterAdd(b *testing.B) {
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ctx := context.Background()
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fix := newFixture(b)
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labs := makeAttrs(1)
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cnt := fix.fCounter("float64.sum")
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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cnt.Add(ctx, 1.1, labs...)
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}
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}
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// LastValue
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func BenchmarkInt64LastValueAdd(b *testing.B) {
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ctx := context.Background()
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fix := newFixture(b)
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labs := makeAttrs(1)
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mea := fix.iHistogram("int64.lastvalue")
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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mea.Record(ctx, int64(i), labs...)
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}
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}
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func BenchmarkFloat64LastValueAdd(b *testing.B) {
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ctx := context.Background()
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fix := newFixture(b)
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labs := makeAttrs(1)
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mea := fix.fHistogram("float64.lastvalue")
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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mea.Record(ctx, float64(i), labs...)
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}
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}
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// Histograms
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func BenchmarkInt64HistogramAdd(b *testing.B) {
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ctx := context.Background()
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fix := newFixture(b)
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labs := makeAttrs(1)
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mea := fix.iHistogram("int64.histogram")
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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mea.Record(ctx, int64(i), labs...)
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}
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}
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func BenchmarkFloat64HistogramAdd(b *testing.B) {
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ctx := context.Background()
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fix := newFixture(b)
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labs := makeAttrs(1)
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mea := fix.fHistogram("float64.histogram")
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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mea.Record(ctx, float64(i), labs...)
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}
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}
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// Observers
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func BenchmarkObserverRegistration(b *testing.B) {
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fix := newFixture(b)
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names := make([]string, 0, b.N)
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for i := 0; i < b.N; i++ {
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names = append(names, fmt.Sprintf("test.%d.lastvalue", i))
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}
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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ctr, _ := fix.meter.AsyncInt64().Counter(names[i])
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_ = fix.meter.RegisterCallback([]instrument.Asynchronous{ctr}, func(context.Context) {})
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}
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}
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func BenchmarkGaugeObserverObservationInt64(b *testing.B) {
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ctx := context.Background()
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fix := newFixture(b)
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labs := makeAttrs(1)
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ctr, _ := fix.meter.AsyncInt64().Counter("test.lastvalue")
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err := fix.meter.RegisterCallback([]instrument.Asynchronous{ctr}, func(ctx context.Context) {
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for i := 0; i < b.N; i++ {
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ctr.Observe(ctx, (int64)(i), labs...)
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}
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})
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if err != nil {
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b.Errorf("could not register callback: %v", err)
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b.FailNow()
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}
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b.ResetTimer()
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fix.accumulator.Collect(ctx)
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}
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func BenchmarkGaugeObserverObservationFloat64(b *testing.B) {
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ctx := context.Background()
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fix := newFixture(b)
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labs := makeAttrs(1)
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ctr, _ := fix.meter.AsyncFloat64().Counter("test.lastvalue")
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err := fix.meter.RegisterCallback([]instrument.Asynchronous{ctr}, func(ctx context.Context) {
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for i := 0; i < b.N; i++ {
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ctr.Observe(ctx, (float64)(i), labs...)
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}
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})
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if err != nil {
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b.Errorf("could not register callback: %v", err)
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b.FailNow()
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}
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b.ResetTimer()
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fix.accumulator.Collect(ctx)
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}
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// BatchRecord
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func benchmarkBatchRecord8Attrs(b *testing.B, numInst int) {
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const numAttrs = 8
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ctx := context.Background()
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fix := newFixture(b)
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labs := makeAttrs(numAttrs)
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var meas []syncint64.Counter
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for i := 0; i < numInst; i++ {
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meas = append(meas, fix.iCounter(fmt.Sprintf("int64.%d.sum", i)))
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}
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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for _, ctr := range meas {
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ctr.Add(ctx, 1, labs...)
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}
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}
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}
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func BenchmarkBatchRecord8Attrs_1Instrument(b *testing.B) {
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benchmarkBatchRecord8Attrs(b, 1)
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}
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func BenchmarkBatchRecord_8Attrs_2Instruments(b *testing.B) {
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benchmarkBatchRecord8Attrs(b, 2)
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}
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func BenchmarkBatchRecord_8Attrs_4Instruments(b *testing.B) {
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benchmarkBatchRecord8Attrs(b, 4)
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}
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func BenchmarkBatchRecord_8Attrs_8Instruments(b *testing.B) {
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benchmarkBatchRecord8Attrs(b, 8)
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}
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// Record creation
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func BenchmarkRepeatedDirectCalls(b *testing.B) {
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ctx := context.Background()
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fix := newFixture(b)
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c := fix.iCounter("int64.sum")
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k := attribute.String("bench", "true")
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b.ResetTimer()
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for i := 0; i < b.N; i++ {
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c.Add(ctx, 1, k)
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fix.accumulator.Collect(ctx)
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}
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}
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