Vlad Mihalcea High-performance Java Persistence Pdf Jun 2026

The choice of primary key generation strategy heavily impacts write performance. The book explains why the IDENTITY strategy prevents Hibernate from utilizing JDBC batch inserts (because the database must generate the ID immediately) and why the SEQUENCE strategy paired with the pooled or pooled-lo optimizers is the superior choice for high-throughput applications. How to Access the Book and Resources

Vlad Mihalcea’s High-Performance Java Persistence has become a modern classic for Java developers who want to master database access performance. This isn’t another beginner’s guide to JPA or Hibernate. Instead, it’s a deep, practical journey into the inner workings of JDBC, ORM frameworks, and databases themselves. The book is built on a single, crucial idea: to build a fast and scalable Java application, your persistence layer must resonate with your database system.

Type-safe querying, window functions, common table expressions (CTE), and database functions. Go to product viewer dialog for this item. High-Performance Java Persistence by Vlad Mihalcea

One of the most critical aspects of JPA is controlling how data is fetched. Improper fetching strategies can lead to excessive database roundtrips. Mihalcea explains the nuances between EAGER and LAZY fetching, promoting LAZY as the default choice and teaching how to use Entity Graphs and DTO projections for optimized data retrieval. 2. Solving the N+1 Query Problem vlad mihalcea high-performance java persistence pdf

Do not settle for outdated, illegal copies. Invest in the official digital edition. Keep it on your desktop. Use it every time you write a @OneToMany or tune a @Query .

For any Java developer working with JPA, Hibernate, JDBC, or jOOQ, investing in a legal copy of this book—be it in PDF or print form—is a definitive step toward mastering data access. It will change the way you think about performance, transforming it from an afterthought into a fundamental design principle.

@EntityGraph(attributePaths = "comments") @Query("SELECT p FROM Post p WHERE p.id IN :ids") List<Post> findByIdsWithComments(@Param("ids") List<Long> ids); The choice of primary key generation strategy heavily

The demand for a is high because this is a reference book. Developers don’t read it cover-to-cover like a novel. They keep it open on a second monitor while debugging a slow transaction or designing a new schema. A PDF allows for instant text search (e.g., "What is a StackOverflowError in batch updates?").

Best practices for caching, batching, and fetching strategies.

While the first-level cache is bound to the current Hibernate Session , the second-level cache spans across sessions and cluster nodes. This isn’t another beginner’s guide to JPA or Hibernate

Java Persistence API (JPA) and Hibernate simplify database interactions, but this convenience often comes at the cost of performance if not properly understood. Hibernate automates complex SQL generation, but it can easily produce inefficient queries—such as the infamous N+1 problem—if not configured correctly.

The book is frequently updated on Leanpub, where you can download it in PDF, EPUB, and MOBI formats.

I can provide targeted optimization strategies based on your architecture. Share public link

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How you map Java entities to database tables dictates the exact SQL generated under the hood. Improper mapping choices create silent performance degradation.