//
// 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.
//
using System.Diagnostics.Metrics;
using BenchmarkDotNet.Attributes;
using OpenTelemetry;
using OpenTelemetry.Metrics;
using OpenTelemetry.Tests;
/*
BenchmarkDotNet=v0.13.5, OS=macOS Ventura 13.4 (22F66) [Darwin 22.5.0]
Apple M1 Max, 1 CPU, 10 logical and 10 physical cores
.NET SDK=7.0.101
[Host] : .NET 7.0.1 (7.0.122.56804), Arm64 RyuJIT AdvSIMD
DefaultJob : .NET 7.0.1 (7.0.122.56804), Arm64 RyuJIT AdvSIMD
| Method | Scale | Mean | Error | StdDev | Allocated |
|----------------- |------ |---------:|---------:|---------:|----------:|
| HistogramHotPath | -11 | 29.79 ns | 0.054 ns | 0.042 ns | - |
| HistogramHotPath | 3 | 32.10 ns | 0.086 ns | 0.080 ns | - |
| HistogramHotPath | 20 | 32.08 ns | 0.076 ns | 0.063 ns | - |
*/
namespace Benchmarks.Metrics;
public class Base2ExponentialHistogramScaleBenchmarks
{
private const int MaxValue = 10000;
private readonly Random random = new();
private Histogram histogram;
private MeterProvider provider;
private Meter meter;
// This is a simple benchmark that records values in the range [0, 10000].
// The reason the following scales are benchmarked are as follows:
//
// -11: Non-positive scales should perform better than positive scales.
// The algorithm to map values to buckets for non-positive scales is more efficient.
// 3: The benchmark records values in the range [0, 10000] and uses the default max number of buckets (160).
// Scale 3 is the maximum scale that will fit this range of values given the number of buckets.
// That is, no scale down will occur.
// 20: Scale 20 should perform the same as scale 3. During warmup the histogram should scale down to 3.
[Params(-11, 3, 20)]
public int Scale { get; set; }
[GlobalSetup]
public void Setup()
{
this.meter = new Meter(Utils.GetCurrentMethodName());
this.histogram = this.meter.CreateHistogram("histogram");
var exportedItems = new List();
this.provider = Sdk.CreateMeterProviderBuilder()
.AddMeter(this.meter.Name)
.AddInMemoryExporter(exportedItems, metricReaderOptions =>
{
metricReaderOptions.PeriodicExportingMetricReaderOptions.ExportIntervalMilliseconds = 1000;
})
.AddView("histogram", new Base2ExponentialBucketHistogramConfiguration() { MaxScale = this.Scale, MaxSize = Metric.DefaultExponentialHistogramMaxBuckets })
.Build();
}
[GlobalCleanup]
public void Cleanup()
{
this.meter?.Dispose();
this.provider?.Dispose();
}
[Benchmark]
public void HistogramHotPath()
{
this.histogram.Record(this.random.Next(MaxValue));
}
}