You aren't just buying a PDF; you are buying the productivity of not having to rediscover database performance pitfalls on your own.
The book is highly regarded by Java experts and practitioners.
This book is more than just a manual; it’s a performance-tuning mindset. vlad mihalcea high-performance java persistence pdf
If you are not ready to purchase the full book, Mihalcea’s blog contains hundreds of free, deeply technical articles covering almost every topic found in the book.
Once you purchase the official PDF, here is a recommended reading strategy: You aren't just buying a PDF; you are
For read-only views, fetching managed entities is an anti-pattern. Projecting flat database rows directly into custom Java Records or Data Transfer Objects (DTOs) bypasses the Hibernate persistence context entirely, resulting in maximum performance and zero memory management overhead. Transaction Management and Concurrency Control
The most prevalent performance anti-pattern in Java data access is the N+1 query problem. This happens when an application fetches a list of parent records, and then issues a separate SQL query for each child record associated with those parents. If you are not ready to purchase the
Leveraging PreparedStatement pooling to reduce SQL parsing overhead on the database server. 2. JPA and Hibernate Optimization
In modern enterprise applications, Hibernate and JPA are the go-to tools for data persistence. However, they are often used as "black boxes." When developers don't understand what’s happening under the hood, applications suffer from N+1 query problems, excessive locking, and slow transaction times.
However, here's what you should know:
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