📜  sonarqube docker setup - Shell-Bash (1)

📅  最后修改于: 2023-12-03 15:35:02.052000             🧑  作者: Mango

SonarQube Docker Setup - Shell/Bash

Introduction

SonarQube is a widely used tool for code analysis and quality control in software development. It allows developers to detect potential code issues, security vulnerabilities, and other technical debt that can harm software quality. This tutorial will guide you through the process of setting up SonarQube in a Docker container.

Prerequisites

To follow this tutorial, you will need the following:

  • Docker installed on your machine
  • A working internet connection to download the required images and dependencies
Step 1: Pull the SonarQube Docker image

Open a terminal and type the following command to pull the SonarQube Docker image:

docker pull sonarqube:latest

This command will download the latest version of the SonarQube Docker image from the Docker Hub.

Step 2: Start the SonarQube Docker container

Next, we need to start the SonarQube Docker container. Type the following command:

docker run -d --name sonarqube -p 9000:9000 sonarqube:latest

This command will start a new Docker container named sonarqube, bind the container's port 9000 to your machine's port 9000, and run the latest version of the SonarQube image in the background.

Step 3: Access the SonarQube web interface

Open a web browser and go to http://localhost:9000. You should see the SonarQube login page. The default username and password are both admin.

Step 4: Analyze your code

To analyze your code, you will need to install a SonarQube scanner on your machine. You can find instructions for installing the scanner on the SonarQube website.

Once you have installed the scanner, you can run the analysis using the following command from your project directory:

sonar-scanner

This command will analyze your code and send the results to the SonarQube server.

Conclusion

Congratulations! You have successfully set up SonarQube in a Docker container and learned how to analyze your code using SonarQube. Remember to always strive for high-quality code, and use tools like SonarQube to help you achieve your goals.

Markdown
# SonarQube Docker Setup - Shell/Bash

## Introduction

SonarQube is a widely used tool for code analysis and quality control in software development. It allows developers to detect potential code issues, security vulnerabilities, and other technical debt that can harm software quality. This tutorial will guide you through the process of setting up SonarQube in a Docker container.

## Prerequisites

To follow this tutorial, you will need the following:

- Docker installed on your machine
- A working internet connection to download the required images and dependencies

## Step 1: Pull the SonarQube Docker image

Open a terminal and type the following command to pull the SonarQube Docker image:

```sh
docker pull sonarqube:latest

This command will download the latest version of the SonarQube Docker image from the Docker Hub.

Step 2: Start the SonarQube Docker container

Next, we need to start the SonarQube Docker container. Type the following command:

docker run -d --name sonarqube -p 9000:9000 sonarqube:latest

This command will start a new Docker container named sonarqube, bind the container's port 9000 to your machine's port 9000, and run the latest version of the SonarQube image in the background.

Step 3: Access the SonarQube web interface

Open a web browser and go to http://localhost:9000. You should see the SonarQube login page. The default username and password are both admin.

Step 4: Analyze your code

To analyze your code, you will need to install a SonarQube scanner on your machine. You can find instructions for installing the scanner on the SonarQube website.

Once you have installed the scanner, you can run the analysis using the following command from your project directory:

sonar-scanner

This command will analyze your code and send the results to the SonarQube server.

Conclusion

Congratulations! You have successfully set up SonarQube in a Docker container and learned how to analyze your code using SonarQube. Remember to always strive for high-quality code, and use tools like SonarQube to help you achieve your goals.