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entityManager.createQuery( "update Order o set o.status = :status where o.date < :date") .setParameter("status", Status.CANCELLED) .executeUpdate();

High-Performance Java Persistence is much more than a collection of tips and tricks. It’s a philosophy and a methodology for treating the persistence layer with the respect it deserves. For any Java developer committed to building professional, high-quality software that interacts with a relational database, adding this book to your library is not just a good idea—it's a critical investment in your success. Consider it your compass for navigating the complex world of data access and building applications that don't just work, but fly.

Query tuning

using HikariCP for maximum throughput Share public link High-performance Java Persistence.pdf

Caching mitigates database load by serving frequently read, rarely modified data directly from memory.

Mastering Enterprise Data: The Ultimate Guide to High-Performance Java Persistence

Instead of fetching full entities with all their relationships (which are then managed by the persistence context), use to select only necessary columns. entityManager

For read-only operations, do not fetch managed entities at all. Fetching entities incurs the overhead of dirty checking and first-level caching. Instead, project directly into a Java Record or Data Transfer Object (DTO):

The PDF doesn't just warn about N+1 queries (1 query for the parent, N for the children); it shows you how to fix it using and stats interceptors .

Vlad Mihalcea’s acclaimed book, High-Performance Java Persistence , serves as the definitive blueprint for bridging the gap between Java code and relational database efficiency. This comprehensive guide explores the core architectural principles, optimization strategies, and advanced mapping techniques required to build blazing-fast Java persistence layers. 1. The Core Architecture of Java Persistence Consider it your compass for navigating the complex

Ready to build a high-performance Java application? Start your journey today.

Opening a physical database connection is an expensive cryptographic and network operation. Application servers must use a high-performance connection pool like HikariCP to reuse existing connections.