The original code looked innocent:
Shared across transactions, offering significant benefits for read-heavy applications but requiring careful invalidation strategies. 4. Batching and Bulk Data Operations
@Query("SELECT o FROM Order o JOIN FETCH o.lines WHERE o.date BETWEEN :start AND :end") List<Order> findWithLines(@Param("start") LocalDate start, @Param("end") LocalDate end); high-performance java persistence pdf 20
Avoid setting this too high. A large pool increases database context switching and disk contention. Use the formula: connections = ((core_count * 2) + effective_spindle_count) .
: This section establishes the groundwork by covering connection management, batching, and statement caching. It emphasizes that a high-performance data access layer must be built on a solid understanding of how the database itself operates. A large pool increases database context switching and
Utilizing batch updates to minimize the number of round-trips to the database. Statement Caching: Reusing prepared statements to avoid re-parsing costs. Result Set Fetching:
Are you handling more workloads or write-heavy batch transactions? It emphasizes that a high-performance data access layer
What versions are you targeting? (Spring Boot 3, Hibernate 6, Jakarta EE, etc.)
Best practices for basic types, associations, and inheritance. Fetching Strategies: Managing fetch sizes and avoiding N+1 query problems. Implementation of second-level (L2) caches. Concurrency Control: Optimistic and pessimistic locking strategies. Part 3: jOOQ and Advanced Querying Covers type-safe querying and modern SQL features. Window Functions: Advanced data analysis within SQL. Common Table Expressions (CTEs): Simplifying complex queries. Stored Procedures: Executing logic directly on the database. 🛠️ Key Performance Tips
The book is available in multiple formats, including PDF, and is highly recommended by Java Champions like Antonio Goncalves and Rafael Winterhalter. For those who prefer a structured learning path, Vlad also offers a that expands on the book's content. The accompanying GitHub repository provides fully testable code examples for JDBC, JPA, Hibernate, and jOOQ, allowing you to see the concepts in action. If you're serious about running your data access layer at high speeds, this resource is an indispensable addition to your development toolkit.