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Commonly used performance testing tools and techniques in Go language

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Go language performance testing tools and technologies include: go/testing: built-in testing framework that can be used to write performance tests. benchstat: Tool for analyzing and comparing benchmark results. pprof: Tool for analyzing CPU and memory профилирования. Technology: Benchmark: Special test function used to measure function performance. Profile: Technology that collects performance data while an application is running.

Commonly used performance testing tools and techniques in Go language

Commonly used performance testing tools and techniques in Go language

Introduction

Performance testing is important for any software application as it helps identify and resolve bottlenecks to maximize the efficiency of the application. In Go language, there are several tools and techniques available for performance testing. This article will introduce several commonly used tools and techniques, and provide practical cases to demonstrate their usage.

Tools

  • ##go/testing: Go language’s built-in testing framework, which can be used to write performance tests
  • benchstat: A tool for analyzing and comparing benchmark results
  • pprof: A tool for analyzing CPU and memory профилирования

Technology

  • Benchmark: A special type of test function used to measure the performance of a function
  • Profile : A technique for collecting performance data when running an application

Practical case

Writing performance tests using go/testing

package main

import (
    "testing"
    "time"
)

func BenchmarkFibonacci(b *testing.B) {
    for i := 0; i < b.N; i++ {
        fibonacci(30)
    }
}

func fibonacci(n int) int {
    if n <= 1 {
        return n
    }

    return fibonacci(n-1) + fibonacci(n-2)
}

func main() {
    testing.RunBenchmarks()
}

Use pprof to analyze the CPU профили

    Use the
  1. go test -cpuprofile=profile.out command to run the test
  2. Use
  3. go tool pprof -cpuprofile=profile.out Command analysis results

Use benchstat to compare benchmark results

go test -bench .
go install gotest.tools/gotestsum
gotestsum

Conclusion

This guide introduces several commonly used performance testing tools and techniques in the Go language. By applying these tools and techniques to your projects, you can identify and resolve performance bottlenecks to create efficient and responsive applications.

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