The book’s core philosophy is stated in its excerpt:
How to configure JDBC batch updates to send multiple statements to the database in a single network round-trip, dramatically speeding up bulk inserts and updates.
: Focuses on "resonating" with the underlying database. It covers essential performance topics like connection management, batching, statement caching, and transaction isolation levels.
5 — Transactions, locking, and concurrency control vlad mihalcea high-performance java persistence pdf
-- Query 1 (Fetch Parents) SELECT * FROM post; -- Queries 2 to N+1 (Fetch Children individually) SELECT * FROM post_comment WHERE post_id = 1; SELECT * FROM post_comment WHERE post_id = 2;
Vlad Mihalcea's "High-Performance Java Persistence" is a comprehensive guide focusing on JDBC, JPA, Hibernate, and jOOQ optimization techniques, available through his store and Leanpub. The resource emphasizes practical application, supported by a GitHub repository of examples and a widely referenced article outlining key performance tips. Read the full post on tips at vladmihalcea.com . AI responses may include mistakes. Learn more High-Performance Java Persistence - Leanpub High-Performance Java Persistence [Leanpub PDF/iPad/Kindle] Leanpub 14 High-Performance Java Persistence Tips - Vlad Mihalcea
Searching for the is the first step toward maturity as a Java developer. You have realized that @Transactional is not magic and that ORMs are powerful but dangerous tools. The book’s core philosophy is stated in its
To help me tailor more specific database optimization tips for your project, could you tell me (e.g., PostgreSQL, MySQL, Oracle) you are currently using, and whether you are running into specific performance bottlenecks like slow queries or high CPU usage? Share public link
Poor entity mapping creates inefficient database schemas. The guide outlines optimal mapping configurations:
With an aggregate rating of 4.6 or higher on major platforms and dozens of five‑star community reviews, this book is widely considered the to Hibernate and JPA performance. 5 — Transactions, locking, and concurrency control --
database queries. Mark all relationships ( @ManyToOne , @OneToMany , @OneToOne ) as FetchType.LAZY . If you need child collections, fetch them explicitly in your repository queries using JPQL, Criteria API, or Entity Graphs. Enable JDBC Batching
Not only do they violate the author’s copyright, but many of them host outdated, OCR‑scrambled, or malware‑infected files. The PDF you find there may lack updated content from 2019 and later editions. For a production developer, the low cost of the official ebook is trivial compared to the time lost debugging an issue that a newer edition would solve.
If you only read one chapter, make it this one.
The book bridges the gap between application developers and Database Administrators (DBAs), providing actionable tips to reduce transaction response times and improve application scalability. Vlad Mihalcea (Java Champion and Hibernate expert).
The N+1 problem occurs when a query fetches N entities, and then N additional queries are executed to load associated entities. The book provides several solutions to this, including: Entity Graphs Hibernate Batch Fetching 3. Database Batching