stevedunn / vogen.serialization

Benchmarks

The Benchmarks project provides a framework for evaluating the performance of different serialization approaches. This framework facilitates understanding the trade-offs between various serialization libraries and techniques.

Benchmarks Project Structure

The Benchmarks project is organized into the following key components:

  • Benchmarks.csproj: The main project file containing references to necessary libraries and dependencies.
  • Benchmarks.cs: The primary source file containing the benchmark definitions and execution logic.
  • Models: A folder containing data models used in the benchmarks.
  • Serialization: A folder containing implementations of serialization libraries and their corresponding benchmark code.

Benchmark Execution

Benchmarks can be executed using the following command:

dotnet run -c Release

This command runs the benchmarks in Release mode, which enables optimized code generation and execution.

Benchmark Options

The benchmark execution process can be customized using the following options:

  • -c Release: Specifies the configuration to use for the benchmark run.
  • -f: Filter benchmarks based on a specific name or pattern.
  • -r: Specify the number of repetitions for each benchmark.

Benchmark Examples

Example 1: Running all benchmarks in Release mode

dotnet run -c Release

Example 2: Running benchmarks related to the “Json” category

dotnet run -c Release -f Json

Example 3: Running benchmarks with 10 repetitions

dotnet run -c Release -r 10

Interpreting Benchmark Results

Benchmark results are presented in a tabular format, showcasing the execution time, throughput, and other relevant metrics. The results can be analyzed to understand the performance characteristics of different serialization approaches.

Factors Influencing Serialization Performance

Several factors can significantly influence serialization performance, including:

  • Data model complexity: The size and structure of the data being serialized directly impact the performance.
  • Serialization format: Different formats, such as JSON, XML, and Protobuf, have varying performance characteristics.
  • Serialization library: The choice of serialization library plays a crucial role in performance.

Comparing Performance of Different Serialization Libraries

The Benchmarks project enables a comprehensive comparison of different serialization libraries. By running benchmarks for various libraries, users can gain insights into their performance characteristics and identify the most efficient library for their specific needs.