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[To metric branch] Add benchmarks for targeting Exemplar impact (#4203)
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// <copyright file="ExemplarBenchmarks.cs" company="OpenTelemetry Authors"> | ||
// Copyright The OpenTelemetry 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. | ||
// </copyright> | ||
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using System.Diagnostics; | ||
using System.Diagnostics.Metrics; | ||
using BenchmarkDotNet.Attributes; | ||
using OpenTelemetry; | ||
using OpenTelemetry.Metrics; | ||
using OpenTelemetry.Tests; | ||
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/* | ||
// * Summary * | ||
BenchmarkDotNet=v0.13.3, OS=Windows 11 (10.0.22621.1265) | ||
11th Gen Intel Core i7-1185G7 3.00GHz, 1 CPU, 8 logical and 4 physical cores | ||
.NET SDK=7.0.103 | ||
[Host] : .NET 7.0.3 (7.0.323.6910), X64 RyuJIT AVX2 | ||
DefaultJob : .NET 7.0.3 (7.0.323.6910), X64 RyuJIT AVX2 | ||
| Method | EnableExemplar | Mean | Error | StdDev | Allocated | | ||
|-------------------------- |--------------- |---------:|--------:|--------:|----------:| | ||
| HistogramNoTagReduction | False | 256.5 ns | 4.84 ns | 4.53 ns | - | | ||
| HistogramWithTagReduction | False | 246.6 ns | 4.90 ns | 4.81 ns | - | | ||
| HistogramNoTagReduction | True | 286.4 ns | 5.30 ns | 7.25 ns | - | | ||
| HistogramWithTagReduction | True | 293.6 ns | 5.77 ns | 7.09 ns | - | | ||
*/ | ||
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namespace Benchmarks.Metrics | ||
{ | ||
public class ExemplarBenchmarks | ||
{ | ||
private static readonly ThreadLocal<Random> ThreadLocalRandom = new(() => new Random()); | ||
private readonly string[] dimensionValues = new string[] { "DimVal1", "DimVal2", "DimVal3", "DimVal4", "DimVal5", "DimVal6", "DimVal7", "DimVal8", "DimVal9", "DimVal10" }; | ||
private Histogram<long> histogramWithoutTagReduction; | ||
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private Histogram<long> histogramWithTagReduction; | ||
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private MeterProvider provider; | ||
private Meter meter; | ||
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[Params(true, false)] | ||
public bool EnableExemplar { get; set; } | ||
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[GlobalSetup] | ||
public void Setup() | ||
{ | ||
this.meter = new Meter(Utils.GetCurrentMethodName()); | ||
this.histogramWithoutTagReduction = this.meter.CreateHistogram<long>("HistogramWithoutTagReduction"); | ||
this.histogramWithTagReduction = this.meter.CreateHistogram<long>("HistogramWithTagReduction"); | ||
var exportedItems = new List<Metric>(); | ||
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this.provider = Sdk.CreateMeterProviderBuilder() | ||
.AddMeter(this.meter.Name) | ||
.SetExemplarFilter(this.EnableExemplar ? new AlwaysOnExemplarFilter() : new AlwaysOffExemplarFilter()) | ||
.AddView("HistogramWithTagReduction", new MetricStreamConfiguration() { TagKeys = new string[] { "DimName1", "DimName2", "DimName3" } }) | ||
.AddInMemoryExporter(exportedItems, metricReaderOptions => | ||
{ | ||
metricReaderOptions.PeriodicExportingMetricReaderOptions.ExportIntervalMilliseconds = 1000; | ||
}) | ||
.Build(); | ||
} | ||
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[GlobalCleanup] | ||
public void Cleanup() | ||
{ | ||
this.meter?.Dispose(); | ||
this.provider?.Dispose(); | ||
} | ||
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[Benchmark] | ||
public void HistogramNoTagReduction() | ||
{ | ||
var random = ThreadLocalRandom.Value; | ||
var tags = new TagList | ||
{ | ||
{ "DimName1", this.dimensionValues[random.Next(0, 2)] }, | ||
{ "DimName2", this.dimensionValues[random.Next(0, 2)] }, | ||
{ "DimName3", this.dimensionValues[random.Next(0, 5)] }, | ||
{ "DimName4", this.dimensionValues[random.Next(0, 5)] }, | ||
{ "DimName5", this.dimensionValues[random.Next(0, 10)] }, | ||
}; | ||
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this.histogramWithoutTagReduction.Record(random.Next(1000), tags); | ||
} | ||
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[Benchmark] | ||
public void HistogramWithTagReduction() | ||
{ | ||
var random = ThreadLocalRandom.Value; | ||
var tags = new TagList | ||
{ | ||
{ "DimName1", this.dimensionValues[random.Next(0, 2)] }, | ||
{ "DimName2", this.dimensionValues[random.Next(0, 2)] }, | ||
{ "DimName3", this.dimensionValues[random.Next(0, 5)] }, | ||
{ "DimName4", this.dimensionValues[random.Next(0, 5)] }, | ||
{ "DimName5", this.dimensionValues[random.Next(0, 10)] }, | ||
}; | ||
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this.histogramWithTagReduction.Record(random.Next(1000), tags); | ||
} | ||
} | ||
} |