High-performance Java Persistence.pdf High Quality

"High-Performance Java Persistence" by Vlad Mihalcea is a comprehensive guide focusing on optimizing data access layers in Java applications, bridging the gap between application development and database administration. The book provides in-depth coverage of JDBC and JPA/Hibernate performance strategies, including connection management, batching, and caching techniques. Learn more about the book's contents and purchase options at Vlad Mihalcea's site Vlad Mihalcea High-Performance Java Persistence - Vlad Mihalcea

• Use prepared statements instead of dynamic queries
• Implement pagination and lazy loading
• Avoid using SELECT \* and instead specify only the required columns

Batching and inserts/updates

Instrumentation and profiling

3. DTO Projections > Entity Fetching Just because you have an @Entity class doesn't mean you should use it for read-only views. Mapping a full Entity with all its relationships just to display a username and email is wasteful. ✅ The Fix: Use Constructor Expressions (DTO projections). You skip the Dirty Checking mechanism and the Persistence Context overhead. High-performance Java Persistence.pdf

4. Batching & Bulk Operations

• JDBC batching – hibernate.jdbc.batch_size.
• Ordered inserts/updates – hibernate.order_inserts / order_updates.
• StatelessSession – For huge inserts.
• Bulk updates/deletes – JPQL UPDATE/DELETE (bypasses persistence context).