MyBatis dynamic SQL is a double-edged sword in enterprise applications. While it offers flexibility for complex filtering, it can introduce security risks like SQL injection and performance bottlenecks such as N+1 queries or inefficient index usage. This article explores real-world patterns for handling B-end scenarios where users combine multiple filters dynamically. Key takeaways include using XML tags wisely, avoiding excessive dynamic fragments, and leveraging caching and pagination effectively. The discussion also emphasizes the importance of validating input and using parameterized queries to maintain security. For backend engineers, these practices are critical for building scalable and maintainable data access layers. The insights are drawn from practical experience and are applicable to similar frameworks like JPA or Hibernate.
Practical strategies for secure and performant MyBatis dynamic SQL in B2B filtering scenarios.