Vlad Mihalcea High-performance Java Persistence Pdf 🔖

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.

For Java developers, this pain point is acute. JPA (Jakarta Persistence) and Hibernate are incredibly powerful tools, but they abstract away the complexities of SQL and JDBC. Without deep knowledge, developers often fall into the infamous "N+1 query" trap, manage transactions poorly, or fight with unnecessary locking. vlad mihalcea high-performance java persistence pdf

@EntityGraph(attributePaths = "comments") @Query("SELECT p FROM Post p WHERE p.id IN :ids") List<Post> findByIdsWithComments(@Param("ids") List<Long> ids); This generates a single SQL JOIN . Add these properties to your application.properties (Spring Boot): Vlad Mihalcea’s work transforms the way you think

Get the official PDF, open to Chapter 5 ("Pagination and Filtering"), and never run Streaming without limits again. Disclaimer: This article is an educational review. Always support software authors by purchasing official copies of their work. High-Performance Java Persistence is a trademark of Vlad Mihalcea. Without deep knowledge, developers often fall into the

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.

spring.jpa.properties.hibernate.jdbc.batch_size=50 spring.jpa.properties.hibernate.order_inserts=true spring.jpa.properties.hibernate.order_updates=true spring.jpa.properties.hibernate.jdbc.batch_versioned_data=true Mihalcea explains why order_inserts matters (grouping same-table inserts together). Never lose a concurrent update again.