search
HomeBackend DevelopmentGolangHow to do CPU profiling in Go?
How to do CPU profiling in Go?May 11, 2023 pm 03:43 PM
go languagePerformance optimizationcpu analysis

With the development of Go language, more and more enterprises are beginning to adopt it to develop back-end applications. However, when applications start to become more complex, CPU performance issues may become increasingly important. In order to solve these problems, we need to know how to do CPU profiling in Go. This article will introduce some useful tools and strategies to help you better understand and solve performance problems.

  1. CPU performance issues in Go

One of the advantages of the Go language is its concurrency performance. The use of Goroutines and Channels allows Go programs to easily perform concurrent operations. However, when the number of Goroutines increases, it may cause CPU performance problems. In this case, CPU performance issues can manifest as:

  • Slowed response times for your application.
  • The application's CPU usage is too high.
  • The application's resource usage is too high.
  • The application's memory usage is too high.

The above problems may lead to reduced application performance and affect user experience. Therefore, it is very necessary to discover and solve these problems.

  1. Introduction to Go CPU Analysis

Before troubleshooting and solving CPU performance problems, we need to first understand some basic concepts and techniques of Go CPU analysis.

CPU profiling is a method of detecting and troubleshooting performance problems by detecting which functions in an application are taking up a lot of CPU resources. It can reveal issues such as slow code, CPU-intensive non-optimized code, memory allocation and race conditions. In Go, we can use some tools, such as Go Profiler and Go Trace, to perform CPU analysis and performance optimization.

  1. Go Profiler

Go Profiler is a tool that can help us detect application performance problems. It can detect the functions that consume CPU and their CPU usage. Here are the steps on how to use Go Profiler for profiling in Go:

  • First, we need to enable Go Profiler in the application. Performance analysis can be started in the application by importing the runtime/pprof package and calling the pprof.StartCPUProfile function in certain places. For example:

    import (
      "runtime/pprof"
      "os"
    )
    
    // 启动CPU性能分析
    f, err := os.Create("cpu.prof")
    if err != nil {
      log.Fatal(err)
    }
    defer f.Close()
    pprof.StartCPUProfile(f)
    defer pprof.StopCPUProfile()

    In the above code, we write the analysis results to a file named "cpu.prof". The start and end of the analysis are carried out through the pprof.StartCPUProfile and pprof.StopCPUProfile functions.

  • Then we need to wait for a while and let the application run long enough. This is because CPU analysis needs to count the CPU time usage of functions to determine which functions are CPU-intensive. You can let the application run for a few minutes and then terminate it.
  • Finally, we can use the go tool pprof tool to visualize and analyze the generated performance files. For example:

    go tool pprof cpu.prof

    In the above command, we can get an interactive CPU performance analysis interface, through which we can see which functions have the highest CPU usage.

  1. Go Trace

In addition to Go Profiler, another tool that can help us perform CPU analysis is Go Trace. It can track Goroutines in a Go program and visualize their interactions. Here are the steps on how to use Go Trace for performance analysis in Go:

  • First, we need to enable the Trace feature in the application. This can be achieved by adding trace.Start and trace.Stop to the program. For example:

    import "runtime/trace"
    
    // 启动Trace功能
    trace.Start(os.Stderr)
    defer trace.Stop()

    In the above code, we output the Trace results to the standard error output so that we can view the results on the terminal. The start and end of Trace are performed through the trace.Start and trace.Stop functions.

  • Then we need to wait for a while and let the application run long enough to collect enough Trace data.
  • Finally, we can use the go tool trace tool to visualize and analyze the generated Trace file. For example:

    go tool trace trace.out

    In the above command, we can get an interactive Trace analysis interface, through which we can see the interaction between Goroutines, locate some CPU-intensive problems, and perform optimization.

  1. Some tips for performance analysis

When performing performance analysis in Go, the following tips may be helpful to us:

  • Pay attention to variable scope and declaration location. Using local variables instead of global variables in your application can reduce performance issues such as lock contention and memory allocation.
  • Pay attention to the values ​​and types of function parameters. Avoiding frequently passing large numbers of parameters between functions can reduce performance issues such as memory allocation and value copying.
  • Pay attention to the number of Goroutines. If there are a large number of Goroutines in your application, you need to pay attention to the interaction and collaboration between them to avoid CPU-intensive problems.
  1. Conclusion

In this article, we introduced some basic concepts and techniques for CPU profiling in Go. We introduced the two main tools, Go Profiler and Go Trace, and provided some tips for using them. When we encounter CPU performance problems, using these tools and techniques can quickly identify the problem and achieve performance optimization.

The above is the detailed content of How to do CPU profiling in Go?. For more information, please follow other related articles on the PHP Chinese website!

Statement
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
go语言有没有缩进go语言有没有缩进Dec 01, 2022 pm 06:54 PM

go语言有缩进。在go语言中,缩进直接使用gofmt工具格式化即可(gofmt使用tab进行缩进);gofmt工具会以标准样式的缩进和垂直对齐方式对源代码进行格式化,甚至必要情况下注释也会重新格式化。

go语言为什么叫gogo语言为什么叫goNov 28, 2022 pm 06:19 PM

go语言叫go的原因:想表达这门语言的运行速度、开发速度、学习速度(develop)都像gopher一样快。gopher是一种生活在加拿大的小动物,go的吉祥物就是这个小动物,它的中文名叫做囊地鼠,它们最大的特点就是挖洞速度特别快,当然可能不止是挖洞啦。

一文详解Go中的并发【20 张动图演示】一文详解Go中的并发【20 张动图演示】Sep 08, 2022 am 10:48 AM

Go语言中各种并发模式看起来是怎样的?下面本篇文章就通过20 张动图为你演示 Go 并发,希望对大家有所帮助!

tidb是go语言么tidb是go语言么Dec 02, 2022 pm 06:24 PM

是,TiDB采用go语言编写。TiDB是一个分布式NewSQL数据库;它支持水平弹性扩展、ACID事务、标准SQL、MySQL语法和MySQL协议,具有数据强一致的高可用特性。TiDB架构中的PD储存了集群的元信息,如key在哪个TiKV节点;PD还负责集群的负载均衡以及数据分片等。PD通过内嵌etcd来支持数据分布和容错;PD采用go语言编写。

go语言能不能编译go语言能不能编译Dec 09, 2022 pm 06:20 PM

go语言能编译。Go语言是编译型的静态语言,是一门需要编译才能运行的编程语言。对Go语言程序进行编译的命令有两种:1、“go build”命令,可以将Go语言程序代码编译成二进制的可执行文件,但该二进制文件需要手动运行;2、“go run”命令,会在编译后直接运行Go语言程序,编译过程中会产生一个临时文件,但不会生成可执行文件。

【整理分享】一些GO面试题(附答案解析)【整理分享】一些GO面试题(附答案解析)Oct 25, 2022 am 10:45 AM

本篇文章给大家整理分享一些GO面试题集锦快答,希望对大家有所帮助!

go语言是否需要编译go语言是否需要编译Dec 01, 2022 pm 07:06 PM

go语言需要编译。Go语言是编译型的静态语言,是一门需要编译才能运行的编程语言,也就说Go语言程序在运行之前需要通过编译器生成二进制机器码(二进制的可执行文件),随后二进制文件才能在目标机器上运行。

go语言怎么删除字符串字符go语言怎么删除字符串字符Dec 09, 2022 pm 07:19 PM

删除字符串的方法:1、用TrimSpace()来去除字符串空格;2、用Trim()、TrimLeft()、TrimRight()、TrimPrefix()或TrimSuffix()来去除字符串中全部、左边或右边指定字符串;3、用TrimFunc()、TrimLeftFunc()或TrimRightFunc()来去除全部、左边或右边指定规则字符串。

See all articles

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

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
2 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Repo: How To Revive Teammates
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌
Hello Kitty Island Adventure: How To Get Giant Seeds
4 weeks agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

ZendStudio 13.5.1 Mac

ZendStudio 13.5.1 Mac

Powerful PHP integrated development environment

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool