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Update ExponentialHistogram Benchmarks (#4539)

This commit is contained in:
Utkarsh Umesan Pillai 2023-06-01 17:06:59 -07:00 committed by GitHub
parent 1e60488e12
commit e7870196d3
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3 changed files with 132 additions and 4 deletions
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128
test/Benchmarks/Metrics/Base2ExponentialHistogramBenchmarks.cs Normal file
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@ -0,0 +1,128 @@
// <copyright file="Base2ExponentialHistogramBenchmarks.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>
using System.Diagnostics;
using System.Diagnostics.Metrics;
using BenchmarkDotNet.Attributes;
using OpenTelemetry;
using OpenTelemetry.Metrics;
using OpenTelemetry.Tests;
/*
BenchmarkDotNet=v0.13.5, OS=Windows 11 (10.0.23424.1000)
Intel Core i7-9700 CPU 3.00GHz, 1 CPU, 8 logical and 8 physical cores
.NET SDK=7.0.203
[Host] : .NET 7.0.5 (7.0.523.17405), X64 RyuJIT AVX2
DefaultJob : .NET 7.0.5 (7.0.523.17405), X64 RyuJIT AVX2
| Method | Mean | Error | StdDev | Allocated |
|---------------------------- |----------:|---------:|---------:|----------:|
| HistogramHotPath | 54.78 ns | 0.907 ns | 0.848 ns | - |
| HistogramWith1LabelHotPath | 115.37 ns | 0.388 ns | 0.363 ns | - |
| HistogramWith3LabelsHotPath | 228.03 ns | 3.767 ns | 3.146 ns | - |
| HistogramWith5LabelsHotPath | 316.60 ns | 5.980 ns | 9.311 ns | - |
| HistogramWith7LabelsHotPath | 366.86 ns | 2.694 ns | 3.596 ns | - |
*/
namespace Benchmarks.Metrics;
public class Base2ExponentialHistogramBenchmarks
{
private const int MaxValue = 10000;
private readonly Random random = new();
private readonly string[] dimensionValues = new string[] { "DimVal1", "DimVal2", "DimVal3", "DimVal4", "DimVal5", "DimVal6", "DimVal7", "DimVal8", "DimVal9", "DimVal10" };
private Histogram<long> histogram;
private MeterProvider provider;
private Meter meter;
[GlobalSetup]
public void Setup()
{
this.meter = new Meter(Utils.GetCurrentMethodName());
this.histogram = this.meter.CreateHistogram<long>("histogram");
var exportedItems = new List<Metric>();
this.provider = Sdk.CreateMeterProviderBuilder()
.AddMeter(this.meter.Name)
.AddInMemoryExporter(exportedItems, metricReaderOptions =>
{
metricReaderOptions.PeriodicExportingMetricReaderOptions.ExportIntervalMilliseconds = 1000;
})
.AddView("histogram", new Base2ExponentialBucketHistogramConfiguration())
.Build();
}
[GlobalCleanup]
public void Cleanup()
{
this.meter?.Dispose();
this.provider?.Dispose();
}
[Benchmark]
public void HistogramHotPath()
{
this.histogram.Record(this.random.Next(MaxValue));
}
[Benchmark]
public void HistogramWith1LabelHotPath()
{
var tag1 = new KeyValuePair<string, object>("DimName1", this.dimensionValues[this.random.Next(0, 2)]);
this.histogram.Record(this.random.Next(MaxValue), tag1);
}
[Benchmark]
public void HistogramWith3LabelsHotPath()
{
var tag1 = new KeyValuePair<string, object>("DimName1", this.dimensionValues[this.random.Next(0, 10)]);
var tag2 = new KeyValuePair<string, object>("DimName2", this.dimensionValues[this.random.Next(0, 10)]);
var tag3 = new KeyValuePair<string, object>("DimName3", this.dimensionValues[this.random.Next(0, 10)]);
this.histogram.Record(this.random.Next(MaxValue), tag1, tag2, tag3);
}
[Benchmark]
public void HistogramWith5LabelsHotPath()
{
var tags = new TagList
{
{ "DimName1", this.dimensionValues[this.random.Next(0, 2)] },
{ "DimName2", this.dimensionValues[this.random.Next(0, 2)] },
{ "DimName3", this.dimensionValues[this.random.Next(0, 5)] },
{ "DimName4", this.dimensionValues[this.random.Next(0, 5)] },
{ "DimName5", this.dimensionValues[this.random.Next(0, 10)] },
};
this.histogram.Record(this.random.Next(MaxValue), tags);
}
[Benchmark]
public void HistogramWith7LabelsHotPath()
{
var tags = new TagList
{
{ "DimName1", this.dimensionValues[this.random.Next(0, 2)] },
{ "DimName2", this.dimensionValues[this.random.Next(0, 2)] },
{ "DimName3", this.dimensionValues[this.random.Next(0, 5)] },
{ "DimName4", this.dimensionValues[this.random.Next(0, 5)] },
{ "DimName5", this.dimensionValues[this.random.Next(0, 5)] },
{ "DimName6", this.dimensionValues[this.random.Next(0, 2)] },
{ "DimName7", this.dimensionValues[this.random.Next(0, 1)] },
};
this.histogram.Record(this.random.Next(MaxValue), tags);
}
}

4
test/Benchmarks/Metrics/ExponentialHistogramMapToIndexBenchmarks.cs → test/Benchmarks/Metrics/Base2ExponentialHistogramMapToIndexBenchmarks.cs
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@ -1,4 +1,4 @@
// <copyright file="ExponentialHistogramMapToIndexBenchmarks.cs" company="OpenTelemetry Authors">
// <copyright file="Base2ExponentialHistogramMapToIndexBenchmarks.cs" company="OpenTelemetry Authors">
// Copyright The OpenTelemetry Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
@ -34,7 +34,7 @@ Apple M1 Max, 1 CPU, 10 logical and 10 physical cores
namespace Benchmarks.Metrics;
public class ExponentialHistogramMapToIndexBenchmarks
public class Base2ExponentialHistogramMapToIndexBenchmarks
{
private const int MaxValue = 10000;
private readonly Random random = new();

4
test/Benchmarks/Metrics/ExponentialHistogramBenchmarks.cs → test/Benchmarks/Metrics/Base2ExponentialHistogramScaleBenchmarks.cs
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@ -1,4 +1,4 @@
// <copyright file="ExponentialHistogramBenchmarks.cs" company="OpenTelemetry Authors">
// <copyright file="Base2ExponentialHistogramScaleBenchmarks.cs" company="OpenTelemetry Authors">
// Copyright The OpenTelemetry Authors
//
// Licensed under the Apache License, Version 2.0 (the "License");
@ -37,7 +37,7 @@ Apple M1 Max, 1 CPU, 10 logical and 10 physical cores
namespace Benchmarks.Metrics;
public class ExponentialHistogramBenchmarks
public class Base2ExponentialHistogramScaleBenchmarks
{
private const int MaxValue = 10000;
private readonly Random random = new();