Pagination and Sorting in Spring Data JPA
In enterprise systems handling thousands or millions of records, executing unconstrained queries such as findAll() exhausts network bandwidth, consumes excessive JVM memory (heap), and degrades user experience. Pagination and sorting split large datasets into manageable discrete chunks (pages) sorted efficiently directly by the SQL database engine.
Managing Transactions with @Transactional and Rollback
In backend systems managing mission-critical workflows (such as banking transfers, e-commerce orders, or inventory bookings), multiple SQL statements must execute as an indivisible unit of work. If any part of the operation fails, all intermediate changes must be reverted (Rollback) to prevent data corruption. In Spring Framework, this process is managed declaratively using the @Transactional annotation.
Unit and Integration Testing with JUnit 5 and Mockito
Ensuring quality and reliability in backend architectures requires validating that individual units fulfill their contracts and that layer integration functions seamlessly. In the Spring Boot ecosystem, the standard testing stack combines JUnit 5 (Jupiter) as the testing framework with Mockito for dependency mocking.
Weekly Slides
Official presentation slides for Week 6: Pagination and Sorting in Spring Data JPA (Pageable, Sort, Page, Slice), Transaction Management with @Transactional and Rollback (ACID Principles, Spring AOP Proxy), and Unit & Integration Testing with JUnit 5 and Mockito.