Design and implementation of an item rental system based on Hadoop+springboot for Computer Science (front-end and back-end separation, including source code + documentation + tutorials)

This system is based on the Hadoop platform, uses Java language, MySQL database, and combines the currently popular B/S architecture to concentrate all aspects of item rental management into the database to facilitate user needs. On the premise of ensuring system stability, the design and application of multi-functional modules can be realized. The system consists of administrator function module and user module. The access system for different roles is strictly differentiated. The design of each functional module also facilitates future system upgrades and maintenance. The system adopts methods such as software componentization, refined architecture, and separation of logic and data.

Due to space limitations, if you want to get the complete article or source code, or do it on your behalf, scroll to the bottom of the article to see your personal VX.

When people open the website of the system, the first thing they see is the homepage interface. Here, people can see the navigation bar of the item rental system, and use the navigation bar to enter the information display page of each function for operation. The system homepage interface is as shown in the figure:

The administrator enters the main page. The main functions include personal center, user management, announcement type management, announcement information management, item category management, item information management, item rental management, item return management, evaluation information management, item rental management, and system management. Wait for the operation. The administrator's main page is as shown in the figure:

After the administrator crawls the data, click on the dashboard in the upper right corner of the main page to view the system introduction, total number of users, total item information, total number of item rentals, total number of item rentals, category statistics, contact statistics, business address statistics, and postings Statistics, rental quantity statistics, rental volume statistics, item rental and other real-time analysis charts are visualized for management; as shown in the figure:

 

Guess you like

Origin blog.csdn.net/xiejiachao/article/details/132813350