# Introduction In this project, you will learn how to optimize database queries to improve performance in the LabEx system. The LabEx system is a platform that manages user study records, courses, and other related data. The project focuses on optimizing three frequently used queries in the system. ## ð Preview ![Unfinished](https://file.labex.io/namespace/718bace8-27a3-4200-a588-dde4041ceeb9/mysql/project-query-is-so-slow/lab-query-is-so-slow/assets/img_1.png) ## ðŊ Tasks In this project, you will learn: - How to add a compound index on the `user` and `study_time` fields of the `usercourse` table to improve query performance. - How to optimize the first query to find the study time of a specific user for a specific course. - How to optimize the second query to sort the study records of a user's courses by study time. - How to optimize the third query to retrieve all the courses that a user has studied. ## ð Achievements After completing this project, you will be able to: - Understand the importance of indexing in database optimization. - Implement compound indexes to improve the performance of complex queries. - Analyze query execution plans to identify performance bottlenecks. - Optimize database queries by leveraging appropriate indexes. - Apply your knowledge to improve the performance of real-world database applications.
Click the virtual machine below to start practicing