StringBenchmarker is a .NET console application that benchmarks various string manipulation methods using BenchmarkDotNet. This project provides performance comparisons for different approaches to string concatenation, including string concatenation, StringBuilder, string interpolation, and string.Join.

String manipulation is a common task in software development, and inefficient handling can lead to performance bottlenecks. This project aims to provide developers with insights into the performance implications of different string manipulation methods.

The primary purpose of StringBenchmarker is to offer a comprehensive performance analysis of various string concatenation techniques. By doing so, it helps developers make informed decisions when optimizing their code for better performance.

• .NET 8

BenchmarkDotNet v0.13.12, Ubuntu 24.04 LTS (Noble Numbat)  
Intel Core i7-3630QM CPU 2.40GHz (Ivy Bridge), 1 CPU, 8 logical and 4 physical cores  
.NET SDK 8.0.105

The following table presents the performance benchmarks for different string manipulation methods using BenchmarkDotNet. Each method was tested with varying RepeatCount to analyze their execution times under different scenarios.

• StringConcatenation vs. StringBuilderAppend: As RepeatCount increases, StringBuilderAppend consistently outperforms StringConcatenation, especially noticeable with larger repetitions (e.g., 1000).
• StringInterpolation: Shows competitive performance with StringConcatenation for smaller repetitions but exhibits significant slowdown with larger data sets (RepeatCount of 1000).
• StringJoin: Demonstrates the best performance across all scenarios, indicating its efficiency in concatenating strings.

• Mean: Represents the average execution time across multiple iterations.
• StdDev (Standard Deviation): Indicates the variability or dispersion of data points around the mean.
• Error: Margin of error for the mean value.

• For small to medium-sized operations (RepeatCount <= 100), developers can choose between StringBuilderAppend and StringJoin for efficient string concatenation.
• For larger operations (RepeatCount = 1000), StringJoin emerges as the optimal choice due to its consistent performance and lower standard deviation.

These benchmarks provide valuable insights into choosing the most suitable string manipulation method based on performance requirements in .NET applications.

To use this project, you can use Docker or .NET SDK 8.0. See Getting Started for more information.

src
├── Dockerfile
├── StringBenchmarker
│   ├── Program.cs
│   ├── StringBenchmarker.csproj
│   └── StringManipulationBenchmarks.cs
├── StringBenchmarker.sln
└── StringBenchmarker.Tests
    ├── GlobalUsings.cs
    ├── StringBenchmarker.Tests.csproj
    └── TestStringManipulationBenchmarks.cs

StringBenchmarker offers the following features to analyze and optimize string manipulation performance in .NET applications:

• Benchmark Different Methods: Compare performance across various string manipulation techniques such as StringConcatenation, StringBuilderAppend, StringInterpolation, and StringJoin.

• Customizable Parameters: Easily adjust benchmark parameters such as the number of repetitions to simulate different scenarios and workload sizes.

• Supports Docker: Run benchmarks within a Docker container to ensure consistency and portability across different environments.

• .NET 8 Compatibility: Built with .NET 8, supporting the latest features and optimizations for string manipulation in C#.

You can customize benchmark parameters such as the number of repetitions or specific configurations by modifying the StringManipulationBenchmarks class in the StringManipulationBenchmarks.cs file. Adjust these parameters to simulate different workload scenarios and optimize performance accordingly.

Reach out to the maintainer at one of the following places:

• GitHub issues
• Contact options listed on this GitHub profile

BenchmarkDotNet is the underlying framework used by StringBenchmarker for performance benchmarking. Visit the BenchmarkDotNet GitHub repository for documentation, tutorials, and additional resources.

This project is licensed under the GPLv3.

See LICENSE for more information.