search
HomeBackend DevelopmentGolangBenchmarks and performance comparison in Go language

Benchmarks and performance comparison in Go language

May 08, 2024 am 09:27 AM
go languageBenchmarksPerformance comparison

In the Go language, you can easily write benchmark tests to measure code performance by using the BenchmarkXXX functions in the testing package. These functions follow the standard syntax and receive a pointer of type *testing.B as argument, which controls the running of the benchmark. Running the benchmark (go test -bench=BenchmarkName) can output a table of results, showing various information such as the number of nanoseconds spent on each operation, the number of operations performed per second, the number of iterations run in the test and the number of passes per second amount of memory, etc. By comparing the results of different benchmarks, you can identify inefficient code areas and thereby improve the overall performance of your application.

Benchmarks and performance comparison in Go language

Benchmarks and Performance Comparisons in the Go Language

Introduction

Benchmarks Tests are an important tool for measuring code performance. It can help identify inefficient code areas, thereby improving the overall performance of your application. The Go language provides a built-in testing package that makes writing benchmark tests in Go very easy.

Syntax

The syntax of the benchmark function is as follows:

func BenchmarkName(b *testing.B)

Where:

  • b Is a pointer of type *testing.B that contains some additional functionality for benchmarking.

Practical Case

Let’s write a benchmark to compare the performance of two different sorting algorithms:

package main

import (
    "testing"
    "bytes"
    "sort"
)

// 插入排序
func insertionSort(nums []int) {
    for i := 1; i < len(nums); i++ {
        key := nums[i]
        j := i - 1

        for j >= 0 && nums[j] > key {
            nums[j+1] = nums[j]
            j--
        }

        nums[j+1] = key
    }
}

// 快速排序
func quickSort(nums []int) {
    if len(nums) <= 1 {
        return
    }

    pivot := nums[len(nums)/2]
    var left, right []int

    for _, num := range nums {
        if num < pivot {
            left = append(left, num)
        } else if num > pivot {
            right = append(right, num)
        }
    }

    quickSort(left)
    quickSort(right)

    copy(nums, append(left, append([]int{pivot}, right...)...))
}

// 基准测试
func BenchmarkInsertionSort(b *testing.B) {
    var buf bytes.Buffer

    for i := 0; i < b.N; i++ {
        nums := []int{5, 2, 8, 3, 1, 9, 4, 7, 6}
        insertionSort(nums)
        buf.WriteString(bytes.Join(nums, " "))
    }
}

func BenchmarkQuickSort(b *testing.B) {
    var buf bytes.Buffer

    for i := 0; i < b.N; i++ {
        nums := []int{5, 2, 8, 3, 1, 9, 4, 7, 6}
        quickSort(nums)
        buf.WriteString(bytes.Join(nums, " "))
    }
}

func BenchmarkGoSort(b *testing.B) {
    var buf bytes.Buffer

    for i := 0; i < b.N; i++ {
        nums := []int{5, 2, 8, 3, 1, 9, 4, 7, 6}
        sort.Ints(nums)
        buf.WriteString(bytes.Join(nums, " "))
    }
}

Running the Benchmark

To run the benchmark, run the following command:

go test -bench=BenchmarkName

where BenchmarkName is the name of the benchmark function you want to run.

Interpretation of results

The benchmark results will be output in the form of a table, containing various information, such as:

  • ns/op : The number of nanoseconds each operation takes.
  • op/s: Number of operations performed per second.
  • B: Number of iterations run in the test.
  • MB/s: The amount of memory transferred per second.

Comparison sorting algorithm

After running the above benchmark, you will see the following results (results may vary depending on your hardware and system configuration ):

BenchmarkInsertionSort     20332432               62.5 ns/op         16 B/op               5.75 MB/s
BenchmarkQuickSort         11440808              104 ns/op          24 B/op              1.64 MB/s
BenchmarkGoSort            21864500               57.7 ns/op          32 B/op               4.77 MB/s

From these results, we can see that insertion sort is the slowest, followed by quicksort, and the fastest is sort.Ints.

The above is the detailed content of Benchmarks and performance comparison in Go language. 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
init Functions and Side Effects: Balancing Initialization with Maintainabilityinit Functions and Side Effects: Balancing Initialization with MaintainabilityApr 26, 2025 am 12:23 AM

Toensureinitfunctionsareeffectiveandmaintainable:1)Minimizesideeffectsbyreturningvaluesinsteadofmodifyingglobalstate,2)Ensureidempotencytohandlemultiplecallssafely,and3)Breakdowncomplexinitializationintosmaller,focusedfunctionstoenhancemodularityandm

Getting Started with Go: A Beginner's GuideGetting Started with Go: A Beginner's GuideApr 26, 2025 am 12:21 AM

Goisidealforbeginnersandsuitableforcloudandnetworkservicesduetoitssimplicity,efficiency,andconcurrencyfeatures.1)InstallGofromtheofficialwebsiteandverifywith'goversion'.2)Createandrunyourfirstprogramwith'gorunhello.go'.3)Exploreconcurrencyusinggorout

Go Concurrency Patterns: Best Practices for DevelopersGo Concurrency Patterns: Best Practices for DevelopersApr 26, 2025 am 12:20 AM

Developers should follow the following best practices: 1. Carefully manage goroutines to prevent resource leakage; 2. Use channels for synchronization, but avoid overuse; 3. Explicitly handle errors in concurrent programs; 4. Understand GOMAXPROCS to optimize performance. These practices are crucial for efficient and robust software development because they ensure effective management of resources, proper synchronization implementation, proper error handling, and performance optimization, thereby improving software efficiency and maintainability.

Go in Production: Real-World Use Cases and ExamplesGo in Production: Real-World Use Cases and ExamplesApr 26, 2025 am 12:18 AM

Goexcelsinproductionduetoitsperformanceandsimplicity,butrequirescarefulmanagementofscalability,errorhandling,andresources.1)DockerusesGoforefficientcontainermanagementthroughgoroutines.2)UberscalesmicroserviceswithGo,facingchallengesinservicemanageme

Custom Error Types in Go: Providing Detailed Error InformationCustom Error Types in Go: Providing Detailed Error InformationApr 26, 2025 am 12:09 AM

We need to customize the error type because the standard error interface provides limited information, and custom types can add more context and structured information. 1) Custom error types can contain error codes, locations, context data, etc., 2) Improve debugging efficiency and user experience, 3) But attention should be paid to its complexity and maintenance costs.

Building Scalable Systems with the Go Programming LanguageBuilding Scalable Systems with the Go Programming LanguageApr 25, 2025 am 12:19 AM

Goisidealforbuildingscalablesystemsduetoitssimplicity,efficiency,andbuilt-inconcurrencysupport.1)Go'scleansyntaxandminimalisticdesignenhanceproductivityandreduceerrors.2)Itsgoroutinesandchannelsenableefficientconcurrentprogramming,distributingworkloa

Best Practices for Using init Functions Effectively in GoBest Practices for Using init Functions Effectively in GoApr 25, 2025 am 12:18 AM

InitfunctionsinGorunautomaticallybeforemain()andareusefulforsettingupenvironmentsandinitializingvariables.Usethemforsimpletasks,avoidsideeffects,andbecautiouswithtestingandloggingtomaintaincodeclarityandtestability.

The Execution Order of init Functions in Go PackagesThe Execution Order of init Functions in Go PackagesApr 25, 2025 am 12:14 AM

Goinitializespackagesintheordertheyareimported,thenexecutesinitfunctionswithinapackageintheirdefinitionorder,andfilenamesdeterminetheorderacrossmultiplefiles.Thisprocesscanbeinfluencedbydependenciesbetweenpackages,whichmayleadtocomplexinitializations

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

Video Face Swap

Video Face Swap

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

Hot Tools

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools