Modern applications cannot rely on SELECT FOR UPDATE for everything. Mihalcea introduces:
Entities are designed for write operations (inserting, updating, deleting data). For read-only views, dashboards, or reports, fetching full entities introduces unnecessary overhead. Instead, developers should use DTO (Data Transfer Object) projections to fetch only the specific database columns required by the user interface. Identifier Generation Matters
"High-Performance Java Persistence" is . It is a technical deep dive aimed squarely at developers who already use Hibernate, JPA, or JDBC but struggle with slow queries, locking issues, connection management problems, and unpredictable performance in production. vlad mihalcea high-performance java persistence pdf
A popular open-source library that adds advanced mapping support (like JSON, arrays, and custom enums) to Hibernate. Where to Find "High-Performance Java Persistence"
Before diving into frameworks, Mihalcea explains the foundation. High performance starts with understanding: Modern applications cannot rely on SELECT FOR UPDATE
Vlad Mihalcea’s work transforms the way you think about data—from "making it work" to "making it fly." Whether you are building a microservice handling 10 req/sec or a monolith handling 10,000, the principles in this book remain the bedrock of high-performance Java persistence.
5 — Transactions, locking, and concurrency control Instead, developers should use DTO (Data Transfer Object)
The performance implications of @OneToMany , @ManyToMany , and why you should avoid FetchType.EAGER . 3. Advanced Performance Tuning
The ultimate guide to optimizing database access in Java applications involves mastering Vlad Mihalcea's High-Performance Java Persistence . This comprehensive analysis explores why this resource remains the definitive blueprint for developers seeking to eliminate database bottlenecks and maximize application throughput. The Core Philosophy of High-Performance Java Persistence