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dotnet-benchmarkdotnetdotnet 基准测试 dotnet

Agent Skill

dotnet-benchmarkdotnet 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

329

周安装

14

GitHub Stars

15

下载量

115
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:dotnet-benchmarkdotnet(dotnet 基准测试 dotnet)
来源仓库:https://github.com/wshaddix/dotnet-skills
仓库路径:skills/dotnet-benchmarkdotnet
安装命令:
npx skills add https://github.com/wshaddix/dotnet-skills --skill dotnet-benchmarkdotnet
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/wshaddix/dotnet-skills --skill dotnet-benchmarkdotnet

简介

dotnet-benchmarkdotnet 指导使用 BenchmarkDotNet v0.14+ 进行精准的 .NET 微基准测试。

  • 适用于性能关键路径的算法优化和库选型对比场景。
  • 提供内存诊断器和 CI 集成导出器等高级功能配置。
  • 需确保测试环境与生产环境的运行时版本一致。
  • 注意避免测量无效结果,正确设置基线比较条件。

SKILL.md

dotnet-benchmarkdotnet

Microbenchmarking guidance for.NET using BenchmarkDotNet v0.14+. Covers benchmark class setup, memory and disassembly diagnosers, exporters for CI artifact collection, baseline comparisons, and common pitfalls that invalidate measurements.

Version assumptions: BenchmarkDotNet v0.14+ on.NET 8.0+ baseline. Examples use current stable APIs.

Out of scope: Performance-oriented architecture patterns (Span<T>, ArrayPool<T>, sealed class devirtualization) are owned by this epic's companion skill -- see [skill:dotnet-performance-patterns]. C# syntax for modern patterns (records, primary constructors) -- see [skill:dotnet-csharp-modern-patterns]. Coding standards and style conventions -- see [skill:dotnet-csharp-coding-standards]. Native AOT compilation pipeline and performance characteristics -- see [skill:dotnet-native-aot]. Serialization format APIs and round-trip correctness -- see [skill:dotnet-serialization]. Profiling tools (dotnet-counters, dotnet-trace, dotnet-dump) are covered by [skill:dotnet-profiling]. CI benchmark regression detection is covered by [skill:dotnet-ci-benchmarking]. Architecture patterns (caching, resilience) -- see [skill:dotnet-architecture-patterns]. EF Core query optimization -- see [skill:dotnet-efcore-patterns].

Cross-references: [skill:dotnet-performance-patterns] for zero-allocation patterns measured by benchmarks, [skill:dotnet-csharp-modern-patterns] for Span/Memory syntax foundation, [skill:dotnet-csharp-coding-standards] for sealed class style conventions, [skill:dotnet-native-aot] for AOT performance characteristics and benchmark considerations, [skill:dotnet-serialization] for serialization format performance tradeoffs.


Package Setup

<!-- Benchmarks.csproj -->
<Project Sdk="Microsoft.NET.Sdk">
  <PropertyGroup>
    <OutputType>Exe</OutputType>
    <TargetFramework>net8.0</TargetFramework>
  </PropertyGroup>
  <ItemGroup>
    <PackageReference Include="BenchmarkDotNet" Version="0.14.*" />
  </ItemGroup>
</Project>

Keep benchmark projects separate from production code. Use a benchmarks/ directory at the solution root.


Benchmark Class Setup

Basic Benchmark with [Benchmark] Attribute

using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Running;

[MemoryDiagnoser]
public class StringConcatBenchmarks
{
    private readonly string[] _items = Enumerable.Range(0, 100)
        .Select(i => i.ToString())
        .ToArray();

    [Benchmark(Baseline = true)]
    public string StringConcat()
    {
        var result = string.Empty;
        foreach (var item in _items)
            result += item;
        return result;
    }

    [Benchmark]
    public string StringBuilder()
    {
        var sb = new System.Text.StringBuilder();
        foreach (var item in _items)
            sb.Append(item);
        return sb.ToString();
    }

    [Benchmark]
    public string StringJoin() => string.Join(string.Empty, _items);
}

Running Benchmarks

// Program.cs
using BenchmarkDotNet.Running;

BenchmarkRunner.Run<StringConcatBenchmarks>();

Run in Release mode (mandatory for valid results):

dotnet run -c Release

Parameterized Benchmarks

[MemoryDiagnoser]
public class CollectionBenchmarks
{
    [Params(10, 100, 1000)]
    public int Size { get; set; }

    private int[] _data = null!;

    [GlobalSetup]
    public void Setup()
    {
        _data = Enumerable.Range(0, Size).ToArray();
    }

    [Benchmark(Baseline = true)]
    public int ForLoop()
    {
        var sum = 0;
        for (var i = 0; i < _data.Length; i++)
            sum += _data[i];
        return sum;
    }

    [Benchmark]
    public int LinqSum() => _data.Sum();
}

Memory Diagnosers

MemoryDiagnoser

Tracks GC allocations and collection counts per benchmark invocation. Apply at class level to all benchmarks:

[MemoryDiagnoser]
public class AllocationBenchmarks
{
    [Benchmark]
    public byte[] AllocateArray() => new byte[1024];

    [Benchmark]
    public int UseStackalloc()
    {
        Span<byte> buffer = stackalloc byte[1024];
        buffer[0] = 42;
        return buffer[0];
    }
}

Output columns:

ColumnMeaning
AllocatedBytes allocated per operation
Gen0Gen 0 GC collections per 1000 operations
Gen1Gen 1 GC collections per 1000 operations
Gen2Gen 2 GC collections per 1000 operations

Zero in Allocated column confirms zero-allocation code paths.

DisassemblyDiagnoser

Inspects JIT-compiled assembly to verify optimizations (devirtualization, inlining):

[DisassemblyDiagnoser(maxDepth: 2)]
[MemoryDiagnoser]
public class DevirtualizationBenchmarks
{
    // sealed enables JIT devirtualization -- verify in disassembly output
    // See [skill:dotnet-csharp-coding-standards] for sealed class conventions
    [Benchmark]
    public int SealedCall()
    {
        var obj = new SealedService();
        return obj.Calculate(42);
    }

    [Benchmark]
    public int VirtualCall()
    {
        IService obj = new SealedService();
        return obj.Calculate(42);
    }
}

public interface IService { int Calculate(int x); }
public sealed class SealedService : IService
{
    public int Calculate(int x) => x * 2;
}

Use DisassemblyDiagnoser to verify that sealed classes receive devirtualization from the JIT, confirming the performance rationale documented in [skill:dotnet-csharp-coding-standards].


Exporters for CI Integration

Configuring Exporters

using BenchmarkDotNet.Attributes;
using BenchmarkDotNet.Exporters;
using BenchmarkDotNet.Exporters.Json;

[MemoryDiagnoser]
[JsonExporterAttribute.Full]
[HtmlExporter]
[MarkdownExporter]
public class CiBenchmarks
{
    [Benchmark]
    public void MyOperation()
    {
        // benchmark code
    }
}

Exporter Output

ExporterFileUse Case
JsonExporterAttribute.FullBenchmarkDotNet.Artifacts/results/*-report-full.jsonCI regression comparison (machine-readable)
HtmlExporterBenchmarkDotNet.Artifacts/results/*-report.htmlHuman-readable PR review artifact
MarkdownExporterBenchmarkDotNet.Artifacts/results/*-report-github.mdPaste into PR comments

Custom Config for CI

using BenchmarkDotNet.Configs;
using BenchmarkDotNet.Exporters.Json;
using BenchmarkDotNet.Jobs;

var config = ManualConfig.Create(DefaultConfig.Instance)
    .AddJob(Job.ShortRun)  // fewer iterations for CI speed
    .AddExporter(JsonExporter.Full)
    .WithArtifactsPath("./benchmark-results");

BenchmarkRunner.Run<CiBenchmarks>(config);

GitHub Actions Artifact Upload

- name: Run benchmarks
  run: dotnet run -c Release --project benchmarks/MyBenchmarks.csproj

- name: Upload benchmark results
  uses: actions/upload-artifact@v4
  with:
    name: benchmark-results
    path: benchmarks/BenchmarkDotNet.Artifacts/results/
    retention-days: 30

Baseline Comparison

Setting a Baseline

Mark one benchmark as the baseline for ratio comparison:

[MemoryDiagnoser]
public class SerializationBenchmarks
{
    // Serialization format choice -- see [skill:dotnet-serialization] for API details
    private readonly JsonSerializerOptions _options = new()
    {
        PropertyNamingPolicy = JsonNamingPolicy.CamelCase,
    };

    private readonly WeatherForecast _data = new()
    {
        Date = DateOnly.FromDateTime(DateTime.Now),
        TemperatureC = 25,
        Summary = "Warm"
    };

    [Benchmark(Baseline = true)]
    public string SystemTextJson()
        => System.Text.Json.JsonSerializer.Serialize(_data, _options);

    [Benchmark]
    public byte[] Utf8Serialization()
        => System.Text.Json.JsonSerializer.SerializeToUtf8Bytes(_data, _options);
}

public record WeatherForecast
{
    public DateOnly Date { get; init; }
    public int TemperatureC { get; init; }
    public string? Summary { get; init; }
}

The Ratio column in output shows performance relative to the baseline (1.00). Values below 1.00 indicate faster than baseline; above 1.00 indicate slower.

Benchmark Categories

Group benchmarks with [BenchmarkCategory] and filter at runtime:

[MemoryDiagnoser]
[GroupBenchmarksBy(BenchmarkLogicalGroupRule.ByCategory)]
public class CategorizedBenchmarks
{
    [Benchmark, BenchmarkCategory("Serialization")]
    public string JsonSerialize() => "...";

    [Benchmark, BenchmarkCategory("Allocation")]
    public byte[] ArrayAlloc() => new byte[1024];
}

Run a specific category:

dotnet run -c Release -- --filter *Serialization*

BenchmarkRunner.Run Patterns

Running Specific Benchmarks

// Run a single benchmark class
BenchmarkRunner.Run<StringConcatBenchmarks>();

// Run all benchmarks in assembly
BenchmarkSwitcher.FromAssembly(typeof(Program).Assembly).Run(args);

Command-Line Filtering

# Run benchmarks matching a pattern
dotnet run -c Release -- --filter *StringBuilder*

# List all available benchmarks without running
dotnet run -c Release -- --list flat

# Dry run (validates setup without full benchmark)
dotnet run -c Release -- --filter *StringBuilder* --job Dry

AOT Benchmark Considerations

When benchmarking Native AOT scenarios, the JIT diagnosers are not available (there is no JIT). Use wall-clock time and memory comparisons instead. See [skill:dotnet-native-aot] for AOT compilation setup:

[MemoryDiagnoser]
// Do NOT use DisassemblyDiagnoser with AOT -- no JIT to disassemble
public class AotBenchmarks
{
    [Benchmark]
    public string SourceGenSerialize()
        => System.Text.Json.JsonSerializer.Serialize(
            new { Value = 42 },
            AppJsonContext.Default.Options);
}

Common Pitfalls

Dead Code Elimination

The JIT may eliminate benchmark code whose result is unused. Always return or consume the result:

// BAD: JIT may eliminate the entire loop
[Benchmark]
public void DeadCode()
{
    var sum = 0;
    for (var i = 0; i < 1000; i++)
        sum += i;
    // sum is never used -- JIT removes the loop
}

// GOOD: return the value to prevent elimination
[Benchmark]
public int LiveCode()
{
    var sum = 0;
    for (var i = 0; i < 1000; i++)
        sum += i;
    return sum;
}

Measurement Bias

PitfallCauseFix
Running in Debug modeNo JIT optimizations appliedAlways use -c Release
Shared mutable stateBenchmarks interfere with each otherUse [IterationSetup] or immutable data
Cold-start measurementFirst run includes JIT compilationBenchmarkDotNet handles warmup automatically -- do not add manual warmup
Allocations in setupSetup allocations inflate Allocated columnUse [GlobalSetup] (runs once) vs [IterationSetup] (runs per iteration)
Environment noiseBackground processes skew resultsBenchmarkDotNet detects and warns about environment issues; use Job.MediumRun for noisy environments

Setup vs Iteration Lifecycle

[MemoryDiagnoser]
public class LifecycleBenchmarks
{
    private byte[] _data = null!;

    [GlobalSetup]    // Runs once before all benchmark iterations
    public void GlobalSetup() => _data = new byte[1024];

    [IterationSetup] // Runs before each benchmark iteration
    public void IterationSetup() => Array.Fill(_data, (byte)0);

    [Benchmark]
    public int Process()
    {
        // uses _data
        return _data.Length;
    }

    [GlobalCleanup]    // Runs once after all iterations
    public void GlobalCleanup() { /* dispose resources */ }
}

Prefer [GlobalSetup] over [IterationSetup] unless the benchmark mutates shared state. [IterationSetup] adds overhead that BenchmarkDotNet excludes from timing, but it still affects GC pressure measurement.


Agent Gotchas

  1. Always run benchmarks in Release mode -- dotnet run -c Release. Debug mode disables JIT optimizations and produces meaningless results.
  2. Never benchmark in a test project -- xUnit/NUnit test runners interfere with BenchmarkDotNet's measurement harness. Use a standalone console project.
  3. Return values from benchmark methods to prevent dead code elimination. The JIT will remove computation whose result is discarded.
  4. Do not add manual Thread.Sleep or Task.Delay in benchmarks -- BenchmarkDotNet manages warmup and iteration timing automatically.
  5. Use [GlobalSetup] not constructor for initialization -- BenchmarkDotNet creates benchmark instances multiple times during a run; constructor code runs repeatedly.
  6. Prefer [Params] over manual loops for parameterized benchmarks. BenchmarkDotNet runs each parameter combination independently with proper statistical analysis.
  7. Export JSON for CI -- use [JsonExporterAttribute.Full] to produce machine-readable artifacts for regression detection, not just Markdown.

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.92%
按下载量换算39

Claude

28.19%
按下载量换算32

Cursor

19.77%
按下载量换算23

Gemini CLI

8.44%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

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Snyk

通过

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