Why connection pooling (like HikariCP) is non-negotiable.
However, here's what you should know:
Achieving optimal database performance is one of the most critical challenges in enterprise software development.In the Java ecosystem, developers heavily rely on Hibernate and the Jakarta Persistence API (JPA) to bridge the gap between object-oriented code and relational databases.However, without a deep understanding of the underlying frameworks, abstraction layers often lead to severe performance bottlenecks, such as the infamous N+1 query problem, memory bloat, and locking conflicts. vlad mihalcea high-performance java persistence pdf
The book is intended for:
Entities are designed for write operations, tracking changes through the Persistence Context. For read-only views, reports, or API responses, fetching raw entities introduces unnecessary overhead. Instead, project SQL results directly into lightweight Data Transfer Objects (DTOs). Enable JDBC Batching Why connection pooling (like HikariCP) is non-negotiable
@EntityGraph(attributePaths = "comments") @Query("SELECT p FROM Post p WHERE p.id IN :ids") List<Post> findByIdsWithComments(@Param("ids") List<Long> ids); For read-only views, reports, or API responses, fetching
5 — Transactions, locking, and concurrency control