The book is thoughtfully divided into three parts, each focusing on a different layer of the persistence stack.
Unidirectional @OneToMany associations create inefficient junction tables and generate redundant update statements.
If you have a specific database bottleneck you are trying to solve, The database system (e.g., PostgreSQL, MySQL). A snippet of the problematic code or SQL .
The book is widely regarded as a "must-read" for any Java developer serious about data access performance. It has become one of the best-selling Java books on Amazon. vlad mihalcea high-performance java persistence pdf
Comparing SINGLE_TABLE , JOINED , and TABLE_PER_CLASS strategies regarding performance. 5. Transactions and Connection Management
Issues explicit SELECT ... FOR UPDATE statements, locking rows at the database engine level.
In conclusion, Vlad Mihalcea’s High-Performance Java Persistence is an essential resource for senior developers and architects. It transforms the way professionals view data access by shifting the focus from "how to make it work" to "how to make it scale." Through rigorous benchmarking and deep technical insight, the book provides a roadmap for building enterprise-grade applications that are both robust and exceptionally fast. It remains a cornerstone of modern Java performance literature, advocating for a world where the abstraction of JPA does not come at the cost of system efficiency. Shorten or lengthen the word count for a specific assignment. Include a section on specific technical examples , like batching or connection pooling. Focus more on the comparison between JDBC and Hibernate as discussed in the text. part of the book are you most interested in highlighting? The book is thoughtfully divided into three parts,
Searching for is the first step toward becoming a senior backend engineer. This book is not a quick read; it is a reference manual you will use for years.
: Prevent data mistakes when many people use your app at the same time. Why Developers Love It
A particularly valuable section for developers distributing the PDF among teams is the deep dive into connection pooling. Mihalcea explains the physics of database connections—how they are established, why they are expensive, and how tools like HikariCP can be tuned. He moves beyond simple configuration to explain the relationship between connection pool size, database thread counts, and response time percentiles. This technical depth transforms the book from a coding manual into a system architecture guide. A snippet of the problematic code or SQL
Understanding how JPA interacts with the underlying JDBC driver.
The book is accompanied by a massive repository of test cases that allow you to run the performance benchmarks on your own machine.
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 .