Welcome to the exciting world of Spring, SpringMVC, MyBatisPlus, Druid, Shiro, and Bootstrap! In this guide, we will walk you through the steps to set up a SpringBoot application that integrates these technologies. So, let’s roll up our sleeves and jump right in!

Prerequisites

• IntelliJ IDEA
• Maven
• MySQL 5.7+
• JDK 1.8
• Tomcat 8+

Step 1: Clone or Download the Project

Start by cloning or downloading the project from GitHub:

git clone https://github.com/jitwxsexpress

Once you have the code, open IntelliJ IDEA and import the project by selecting the pom.xml file.

Step 2: Configure Tomcat in IntelliJ

Next, configure Tomcat in IntelliJ IDEA by navigating to:

• File -> Settings -> Build, Execution, Deployment -> Application Servers
• Click on Add Configuration… and choose Tomcat.

Step 3: Create the Database

Before running the application, you need to set up the database. Open a terminal and execute the following SQL commands:

CREATE DATABASE IF NOT EXISTS express_ssm CHARACTER SET utf8;
SOURCE express-ssm.sql;

Now, configure your MySQL properties in the src/main/resources/cnf/mysql.properties file:

jdbc.driver=com.mysql.jdbc.Driver
jdbc.url=jdbc:mysql://localhost:3306/express_ssm?useUnicode=true&useSSL=false&characterEncoding=utf-8
jdbc.username=root
jdbc.password=root

Step 4: Run Your Application

After setting everything up, you are ready to run your application. Return to IntelliJ IDEA and start the project. You should now see your application interface.

Troubleshooting

If you encounter issues during setup, here are some troubleshooting ideas:

• Make sure your MySQL server is running and accessible.
• Check for typos in the MySQL configuration file.
• Ensure that the correct JDK version is set in IntelliJ.
• If you encounter any dependencies errors, try refreshing the Maven project.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

Congratulations! You’ve successfully set up your SSM SpringBoot application. Enjoy exploring the powerful functionalities that come with SpringBoot and its ecosystem. At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.