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How to diagnose and eliminate N+1 query issues using JPQL join fetches, Entity Graphs, or DTO projections. 3. Advanced Performance Optimization
Never lose a concurrent update again.
If you are looking for the PDF version of this book, there are several legitimate ways to obtain it:
Use the PDF search function to quickly find the best practices for @Version or @Subselect .
Utilizing tools like Hibernate Envers or database triggers to track historical data changes without destroying performance. Key Takeaways for Java Developers vlad mihalcea high-performance java persistence pdf
Hibernate and Spring Boot evolve rapidly. The official ebook is continuously updated by the author to reflect the latest framework versions and database features.
How to reduce network round-trips by grouping SQL statements.
Always ensure you are accessing the PDF legally via purchasing from the official Gumroad store or via the Manning Early Access Program (MEAP). Supporting authors like Vlad ensures the ecosystem continues to produce high-quality technical content.
When multiple application instances modify the same data simultaneously, data integrity and performance clash. How to diagnose and eliminate N+1 query issues
The book is intended for:
Investing time in understanding these concepts will pay off in faster applications, lower infrastructure costs, and a more robust system architecture.
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Before optimizing Hibernate, you must understand the underlying database infrastructure. The framework can only perform as efficiently as the raw SQL and JDBC drivers allow. If you are looking for the PDF version
Vlad Mihalcea, a prominent developer advocate and a member of the Hibernate team, bridges the gap between theoretical ORM (Object-Relational Mapping) usage and practical database performance.
The book divides data access optimization into foundational layers, starting with the database network protocol and moving upward to application-level caching. 1. JDBC and Database Fundamentals
If you only read one chapter, make it this one.
When data contention is extreme (e.g., inventory management or financial ledgers), optimistic retries degrade performance. The book teaches how to selectively apply explicit PESSIMISTIC_WRITE locks ( SELECT ... FOR UPDATE ) to block competing transactions at the database level, ensuring deterministic write isolation. Transaction Isolation Levels
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