Spring Data JPA Tutorial
Spring Data JPA is a framework that makes working with databases in Java much simpler. Instead of writing long and complex SQL queries, you can interact with your database using simple Java methods. It builds on top of the Java Persistence API (JPA) and integrates smoothly with Spring Boot.
Key Features of Spring Data JPA
- Less Code: It reduces the amount of code we need to write. Instead of writing long and complex database operations, you can achieve the same with just a few lines.
- Easy Repositories: You can create repositories (collections of data operations) by simply writing interfaces and method names. Spring Data JPA generates the necessary code for you.
- Seamless Integration: It works perfectly with other parts of the Spring framework, such as dependency injection (for managing your objects) and transaction management (for handling database transactions).
1. Spring Data JPA Basics
Introduces the fundamentals of Spring Data JPA, explaining how it works with Spring Boot and how repositories simplify project setup and data access.
- Introduction
- JPA vs Spring Data JPA
- Create Project
- Spring Boot JPA Sample Maven Project With Query Methods
2. Spring Data JPA Annotations
Explains the core annotations that map Java classes and fields to database tables and columns, making ORM straightforward and flexible.
3. CRUD Operations
Demonstrates how to perform create, read, update and delete operations efficiently using built-in repository methods.
4. Advanced Queries with Spring Data JPA
Covers custom JPQL and native SQL queries, along with support for dynamic queries, pagination and sorting.
5. Entity Mapping Relationship
Describes entity relationships like One-to-One, One-to-Many and Many-to-Many, enabling real-world associations in your database model.
- One-to-One Mapping
- One-to-Many Mapping
- Many-To-One Mapping
- Many-To-Many Mapping
- Collection Mapping
- Map Mapping
- Cascading Operations
- JPA Table-per-class Strategy
6. Performance and Optimization
Highlights caching, batching and query tuning techniques that improve efficiency and help manage large datasets.
7. Miscellaneous Topics
Includes advanced features such as REST integration, auditing, schema handling and transaction management in Spring Data JPA.
- Set the Schema Name Dynamically
- Spring Data REST
- Spring Data LDAP
- Spring Data R2DBC
- Spring Data JDBC Extensions
- Spring Data JPA vs Spring JDBC Template