This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later.
Use the JOIN FETCH syntax to retrieve parent and child entities in a single SQL statement.
Use HikariCP; size pool based on CPU cores; set tight timeouts. Reduce network trips
Keep database transactions as short as possible. Hold connections only when executing SQL statements. High-performance Java Persistence.pdf
This public link is valid for 7 days and shares a thread, including any personal information you added. This link or copies made by others cannot be deleted. If you share with third parties, their policies apply. Can’t copy the link right now. Try again later.
In the modern landscape of enterprise software, the difference between a sluggish, crash-prone application and a lightning-fast, scalable system often boils down to a single layer: the persistence layer. For Java developers, this is the realm of JDBC, Hibernate, EclipseLink, and JPA (Jakarta Persistence). However, achieving high performance in this space is notoriously difficult. Misconfigurations, lazy loading pitfalls, and SQL anti-patterns can kill throughput faster than any bottleneck in your business logic.
Hibernate must sort statements by entity type to maximize batch efficiency. Without ordering, alternating inserts between different entities breaks the current batch. Managing the Persistence Context Memory This public link is valid for 7 days
The book is elegantly structured into three primary sections, each building upon the last to provide a complete understanding of the performance landscape.
What are you using (PostgreSQL, Oracle, MySQL, SQL Server)?
Caching can greatly improve performance by reducing the number of database queries. Consider using: Can’t copy the link right now
To group multiple INSERT , UPDATE , or DELETE statements into a single network packet, you must explicitly configure JDBC batching in your application.properties or persistence.xml : properties
While the book is dense with practical advice, several core principles underpin its approach to achieving high performance:
The final section of the book is dedicated to , a powerful, type-safe library for writing SQL in Java. jOOQ is presented as a perfect complement to JPA for complex querying scenarios, allowing developers to write complex SQL queries with the full power of a modern programming language. The book covers advanced features like window functions, common table expressions (CTEs), and UPSERT operations, all while maintaining compile-time safety.