Best Practice using Spring Data JPA
How to master Spring Data JPA for optimal performance
If you are a non-member, you can read this story through the link here.
As backend developers, our work is heavily centered around databases. In this realm, Spring Boot is a framework I frequently rely on. A key component of this framework is Spring Data JPA, an API that excels at data handling. Its significance in our development process cannot be overstated.
It’s not just a tool; it’s a powerful tool that can significantly enhance our development process, giving us the confidence and capability to tackle complex data management tasks efficiently.
The default annotations that people mostly use are:
@Repository: a marker or annotation for a class that fulfills the Data Access Object (DAO) role.@Query: an annotation that allows developers to use native queries.
Over time, we’ve all encountered common challenges, such as slow queries, managing complex relationships, understanding complex native queries, or optimizing interface efficiency. Many of us have faced these issues, and it’s essential to address them to enhance our development process. Remember, these challenges are not unique to you. We’re all in this together.
