Master golang function analysis tools

Go function analysis tools are essential for understanding and optimizing Go programs. pprof: Used to analyze CPU usage and memory allocation of functions. go tool trace: allows visual analysis of function calling relationships and execution times. go-flamegraph: Generate interactive function flame graphs that color-code function calls based on call time.

Master the Go function analysis tool

Introduction

The Go function analysis tool is useful for Understanding and optimizing Go programs is crucial. By using these tools, developers can gain in-depth understanding of the running performance, memory allocation and calling relationships of functions.

Practical Case

1. pprof

pprof is a built-in performance profile tool that can be used to analyze the CPU of a function Usage and memory allocation.

Installation:

go install runtime/pprof

Use:

##Generate configuration file:

import "runtime/pprof"

func main() {
    // 开始分析
    pprof.StartCPUProfile(os.Stderr)

    // 运行要分析的代码

    // 结束分析并保存到文件
    pprof.StopCPUProfile()
}

Analyze configuration files:

go tool pprof -web pprof.pb

2. go tool trace

Installation:

Use:

Recording trace:

go tool trace -cpuprofile trace.out ./main

Visual trace:

go tool trace -dot trace.out > trace.dot
dot -Tpng -o trace.png trace.dot

Result:

3. go-flamegraph

Installation:

go get github.com/uber/go-flamegraph

Use:

import (
    "github.com/uber/go-flamegraph/flamegraph"
    "runtime"
    "runtime/pprof"
)

func main() {
    // 开始分析
    f, err := os.Create("flamegraph.svg")
    if err != nil {
        // 处理错误
    }
    pprof.StartCPUProfile(f)

    // 运行要分析的代码

    // 结束分析并保存火焰图
    pprof.StopCPUProfile()
    flamegraph.Render(f)
}