Most JPA books teach you syntax . They show you how to map @Entity and @OneToMany . Vlad Mihalcea’s book teaches you physics —the underlying mechanics of how data moves from your RAM, through the JDBC driver, to the database buffer pool, and back.
Implementing second-level (L2) caching with Ehcache or Redis.
Do you need an for a specific mapping or query optimization? Share public link
9 — Tooling, automation, and the Hypersistence approach vlad mihalcea high-performance java persistence pdf
In the modern software engineering landscape, database access is almost always the bottleneck. You can have the fastest web framework, the most optimized CDN, and a microservices architecture ready to scale horizontally, but if your persistence layer is sluggish, your entire application feels broken.
A treasure trove of deep-dive tutorials, performance tips, and framework updates.
Your application is slow, and the database CPU is constantly at 100%. Most JPA books teach you syntax
The book bridges the gap between application logic and the database engine. It provides concrete architectural advice, real-world benchmarks, and actionable code snippets. Rather than telling you to abandon Hibernate, it teaches you exactly how to configure and use it to maximize throughput and minimize latency. Core Pillars of the Book
The book is intended for:
8 — Pragmatic architecture patterns
: Dedicated to type-safe querying and utilizing advanced SQL features like window functions and common table expressions. Why It's Highly Rated High-Performance Java Persistence: Mihalcea, Vlad
This is the core of the book, detailing how to master Hibernate's complex state management and caching mechanisms.
The final part is dedicated to , a powerful SQL query-building library. It showcases jOOQ's ability to handle complex querying scenarios that are often difficult to achieve with JPA. Key topics include: Implementing second-level (L2) caching with Ehcache or Redis