Table of Contents
Profiling and performance analysis of Go functions
Profiling
Analyze profiling results
Benchmarking
Practical case
Performance Tool Recommendation
Home Backend Development Golang Profiling and performance analysis of Golang functions

Profiling and performance analysis of Golang functions

Jun 02, 2024 pm 02:16 PM
Performance analysis

Question: How to optimize performance in Go language? Profiling: Use built-in tools to generate code execution information (CPU, memory, etc.). Analyze profiling results: Use the pprof tool to visually analyze the profiling file and find the performance bottleneck function. Benchmarking: Compare the performance of different implementations and understand the optimization effect. Practical case: Find server bottlenecks through profiling analysis and optimize loops to improve performance. Recommended tools: In addition to built-in tools, there are also third-party tools such as go-torch, pprof, go-perf, etc. to assist in performance optimization.

Golang 函数的 profiling 和性能分析

Profiling and performance analysis of Go functions

The profiling and performance analysis tools in the Go language are very powerful and can help you easily find out the problems in the Go code. Performance bottleneck. This article will introduce the use of profiling and performance analysis in the Go language.

Profiling

The Go language has a built-in profiling tool that can generate various information when the code is executed, including:

func main() {
    f := func() {
        // 占用 CPU 时间的代码
    }

    // 开始 profiling
    prof := pprof.StartCPUProfile(os.Stderr)
    defer prof.Stop()

    // 运行函数
    f()
}
Copy after login

You can use the following command to generate a CPU profiling file:

go run main.go > prof.out
Copy after login

Analyze profiling results

You can use the pprof tool to analyze the profiling file:

pprof -web prof.out
Copy after login

This will open an interactive interface in the browser , display profiling results. You can drill down to the function level to see which functions are taking up the most time.

Benchmarking

In addition to profiling, the Go language also provides benchmarking tools for comparing the performance of different implementations.

func BenchmarkMyFunction(b *testing.B) {
    for i := 0; i < b.N; i++ {
        f()
    }
}
Copy after login

You can run the benchmark using the following command:

go test -v -bench=.
Copy after login

Practical case

In the following example, we create a simple Go server that contains a performance bottleneck. Using the profiling tool, we can easily find out where the bottleneck is:

func main() {
    http.HandleFunc("/", handler)
    http.ListenAndServe(":8080", nil)
}

func handler(w http.ResponseWriter, r *http.Request) {
    for i := 0; i < 10000000; i++ {
        // 占用 CPU 时间的代码
    }

    w.Write([]byte("Hello, world!"))
}
Copy after login

Using the pprof tool to analyze the profiling file, we find that the loops in the handler function occupy most of the time. We can improve server performance by optimizing loops.

Performance Tool Recommendation

In addition to the built-in tools, there are many third-party tools that can help you profile and perform performance analysis of Go code, such as:

  • [go -torch](https://github.com/uber-go/go-torch)
  • [pprof](https://github.com/google/pprof)
  • [go -perf](https://github.com/maruel/go-perf)

The above is the detailed content of Profiling and performance analysis of Golang functions. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Performance analysis of Kirin 8000 and Snapdragon processors: detailed comparison of strengths and weaknesses Performance analysis of Kirin 8000 and Snapdragon processors: detailed comparison of strengths and weaknesses Mar 24, 2024 pm 06:09 PM

Kirin 8000 and Snapdragon processor performance analysis: detailed comparison of strengths and weaknesses. With the popularity of smartphones and their increasing functionality, processors, as the core components of mobile phones, have also attracted much attention. One of the most common and excellent processor brands currently on the market is Huawei's Kirin series and Qualcomm's Snapdragon series. This article will focus on the performance analysis of Kirin 8000 and Snapdragon processors, and explore the comparison of the strengths and weaknesses of the two in various aspects. First, let’s take a look at the Kirin 8000 processor. As Huawei’s latest flagship processor, Kirin 8000

Performance comparison: speed and efficiency of Go language and C language Performance comparison: speed and efficiency of Go language and C language Mar 10, 2024 pm 02:30 PM

Performance comparison: speed and efficiency of Go language and C language In the field of computer programming, performance has always been an important indicator that developers pay attention to. When choosing a programming language, developers usually focus on its speed and efficiency. Go language and C language, as two popular programming languages, are widely used for system-level programming and high-performance applications. This article will compare the performance of Go language and C language in terms of speed and efficiency, and demonstrate the differences between them through specific code examples. First, let's take a look at the overview of Go language and C language. Go language is developed by G

How to use the php extension XDebug for powerful debugging and performance analysis How to use the php extension XDebug for powerful debugging and performance analysis Jul 28, 2023 pm 07:45 PM

How to use the PHP extension Xdebug for powerful debugging and performance analysis Introduction: In the process of developing PHP applications, debugging and performance analysis are essential links. Xdebug is a powerful debugging tool commonly used by PHP developers. It provides a series of advanced functions, such as breakpoint debugging, variable tracking, performance analysis, etc. This article will introduce how to use Xdebug for powerful debugging and performance analysis, as well as some practical tips and precautions. 1. Install Xdebug and start using Xdebu

How to perform performance analysis of C++ code? How to perform performance analysis of C++ code? Nov 02, 2023 pm 02:36 PM

How to perform performance analysis of C++ code? Performance is an important consideration when developing C++ programs. Optimizing the performance of your code can improve the speed and efficiency of your program. However, to optimize your code, you first need to understand where its performance bottlenecks are. To find the performance bottleneck, you first need to perform code performance analysis. This article will introduce some commonly used C++ code performance analysis tools and techniques to help developers find performance bottlenecks in the code for optimization. Profiling tool using Profiling tool

Analysis and optimization strategies for Java Queue queue performance Analysis and optimization strategies for Java Queue queue performance Jan 09, 2024 pm 05:02 PM

Performance Analysis and Optimization Strategy of JavaQueue Queue Summary: Queue (Queue) is one of the commonly used data structures in Java and is widely used in various scenarios. This article will discuss the performance issues of JavaQueue queues from two aspects: performance analysis and optimization strategies, and give specific code examples. Introduction Queue is a first-in-first-out (FIFO) data structure that can be used to implement producer-consumer mode, thread pool task queue and other scenarios. Java provides a variety of queue implementations, such as Arr

C++ development advice: How to perform performance analysis of C++ code C++ development advice: How to perform performance analysis of C++ code Nov 22, 2023 pm 08:25 PM

As a C++ developer, performance optimization is one of our inevitable tasks. In order to improve the execution efficiency and response speed of the code, we need to understand the performance analysis methods of C++ code in order to better debug and optimize the code. In this article, we will introduce you to some commonly used C++ code performance analysis tools and techniques. Compilation options The C++ compiler provides some compilation options that can be used to optimize the execution efficiency of the code. Among them, the most commonly used option is -O, which tells the compiler to optimize the code. Normally, we would set

Tools and techniques for code optimization and performance analysis in JavaScript Tools and techniques for code optimization and performance analysis in JavaScript Jun 16, 2023 pm 12:34 PM

With the rapid development of Internet technology, JavaScript, as a widely used front-end language, is receiving more and more attention. However, when processing large amounts of data or complex logic, JavaScript performance will be affected. In order to solve this problem, we need to master some code optimization and performance analysis tools and techniques. This article will introduce you to some commonly used JavaScript code optimization and performance analysis tools and techniques. 1. Code optimization to avoid global variables: global variables will occupy more

How to use performance analysis tools to analyze and optimize Java functions? How to use performance analysis tools to analyze and optimize Java functions? Apr 29, 2024 pm 03:15 PM

Java performance analysis tools can be used to analyze and optimize the performance of Java functions. Choose performance analysis tools: JVisualVM, VisualVM, JavaFlightRecorder (JFR), etc. Configure performance analysis tools: set sampling rate, enable events. Execute the function and collect data: Execute the function after enabling the profiling tool. Analyze performance data: identify bottleneck indicators such as CPU usage, memory usage, execution time, hot spots, etc. Optimize functions: Use optimization algorithms, refactor code, use caching and other technologies to improve efficiency.

See all articles