search
HomeBackend DevelopmentGolangGo function unit testing using continuous integration tools

Go function unit testing using continuous integration tools

May 03, 2024 am 10:06 AM
unit testKeywords: go

Using continuous integration (CI) tools for function unit testing in Go can achieve automated unit testing, thereby increasing development speed and code reliability. First you need to set up a CI environment such as Jenkins, create a new job and add a build step to compile the code. Then, write unit tests for each function you want to test, following a specific naming convention. Next, add test steps in Jenkins and configure the CI job to automatically trigger when the source code is updated. In a practical case, a Go project containing the Add function and corresponding unit tests is integrated with the CI environment to ensure that unit tests are automatically executed every time the code changes.

使用持续集成工具进行 Go 函数单元测试

Using continuous integration tools for Go function unit testing

Introduction

In In software development, unit testing is crucial to ensure code quality. Continuous integration (CI) tools automate the unit testing process, resulting in faster development and improved code reliability. This article will introduce how to use continuous integration tools for function unit testing in Go and provide a practical case.

Set up CI environment

First, you need to set up a CI environment. Jenkins is a popular CI tool that will be used in this tutorial.

  • Install Jenkins
  • Create a new job
  • Add a build step that will compile your Go code

Writing Unit Tests

In your Go project, write a unit test for each function you want to test. Unit tests should follow the following convention:

import (
    "testing"
)

func TestAdd(t *testing.T) {
    tests := []struct {
        a, b, expected int
    }{
        {1, 2, 3},
        {3, 4, 7},
    }

    for _, test := range tests {
        actual := Add(test.a, test.b)
        if actual != test.expected {
            t.Errorf("Add(%d, %d) = %d, expected %d", test.a, test.b, actual, test.expected)
        }
    }
}

Integrating CI and testing

Now, you need to integrate the CI environment with your unit tests:

  • In Jenkins, add a test step that will run the unit tests
  • Configure the CI job to automatically trigger when pushing to the source code repository

Practical Case

The following is a practical case of using continuous integration tools to perform function unit testing in Go:

package main

import (
    "fmt"
    "testing"
)

func Add(a, b int) int {
    return a + b
}

func TestAdd(t *testing.T) {
    type test struct {
        a, b, expected int
    }
    tests := []test{
        {1, 2, 3},
        {3, 4, 7},
    }

    for _, test := range tests {
        actual := Add(test.a, test.b)
        if actual != test.expected {
            t.Errorf("Add(%d, %d) = %d, expected %d", test.a, test.b, actual, test.expected)
        }
    }
}

func main() {
    fmt.Println(Add(1, 2))
}

Add this code to your Go project and follow The above steps set up the CI environment and integration tests. When you push changes to your source code repository, CI jobs will run and execute unit tests to ensure your code works as expected.

The above is the detailed content of Go function unit testing using continuous integration tools. 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
Golang and Python: Understanding the DifferencesGolang and Python: Understanding the DifferencesApr 18, 2025 am 12:21 AM

The main differences between Golang and Python are concurrency models, type systems, performance and execution speed. 1. Golang uses the CSP model, which is suitable for high concurrent tasks; Python relies on multi-threading and GIL, which is suitable for I/O-intensive tasks. 2. Golang is a static type, and Python is a dynamic type. 3. Golang compiled language execution speed is fast, and Python interpreted language development is fast.

Golang vs. C  : Assessing the Speed DifferenceGolang vs. C : Assessing the Speed DifferenceApr 18, 2025 am 12:20 AM

Golang is usually slower than C, but Golang has more advantages in concurrent programming and development efficiency: 1) Golang's garbage collection and concurrency model makes it perform well in high concurrency scenarios; 2) C obtains higher performance through manual memory management and hardware optimization, but has higher development complexity.

Golang: A Key Language for Cloud Computing and DevOpsGolang: A Key Language for Cloud Computing and DevOpsApr 18, 2025 am 12:18 AM

Golang is widely used in cloud computing and DevOps, and its advantages lie in simplicity, efficiency and concurrent programming capabilities. 1) In cloud computing, Golang efficiently handles concurrent requests through goroutine and channel mechanisms. 2) In DevOps, Golang's fast compilation and cross-platform features make it the first choice for automation tools.

Golang and C  : Understanding Execution EfficiencyGolang and C : Understanding Execution EfficiencyApr 18, 2025 am 12:16 AM

Golang and C each have their own advantages in performance efficiency. 1) Golang improves efficiency through goroutine and garbage collection, but may introduce pause time. 2) C realizes high performance through manual memory management and optimization, but developers need to deal with memory leaks and other issues. When choosing, you need to consider project requirements and team technology stack.

Golang vs. Python: Concurrency and MultithreadingGolang vs. Python: Concurrency and MultithreadingApr 17, 2025 am 12:20 AM

Golang is more suitable for high concurrency tasks, while Python has more advantages in flexibility. 1.Golang efficiently handles concurrency through goroutine and channel. 2. Python relies on threading and asyncio, which is affected by GIL, but provides multiple concurrency methods. The choice should be based on specific needs.

Golang and C  : The Trade-offs in PerformanceGolang and C : The Trade-offs in PerformanceApr 17, 2025 am 12:18 AM

The performance differences between Golang and C are mainly reflected in memory management, compilation optimization and runtime efficiency. 1) Golang's garbage collection mechanism is convenient but may affect performance, 2) C's manual memory management and compiler optimization are more efficient in recursive computing.

Golang vs. Python: Applications and Use CasesGolang vs. Python: Applications and Use CasesApr 17, 2025 am 12:17 AM

ChooseGolangforhighperformanceandconcurrency,idealforbackendservicesandnetworkprogramming;selectPythonforrapiddevelopment,datascience,andmachinelearningduetoitsversatilityandextensivelibraries.

Golang vs. Python: Key Differences and SimilaritiesGolang vs. Python: Key Differences and SimilaritiesApr 17, 2025 am 12:15 AM

Golang and Python each have their own advantages: Golang is suitable for high performance and concurrent programming, while Python is suitable for data science and web development. Golang is known for its concurrency model and efficient performance, while Python is known for its concise syntax and rich library ecosystem.

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)
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
Will R.E.P.O. Have Crossplay?
1 months agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

PhpStorm Mac version

PhpStorm Mac version

The latest (2018.2.1) professional PHP integrated development tool

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools