Vlad Mihalcea High-performance Java Persistence Pdf (2026)
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Demystifying the Persistence Context (First-Level Cache) and implementing a distributed Second-Level Cache (like Ehcache or Hazelcast) for read-heavy applications.
The critical role of connection pooling (e.g., HikariCP) and how to size pools correctly. vlad mihalcea high-performance java persistence pdf
The article analyzes how the persistence context acts as a transactional buffer, delaying SQL execution until the last possible moment via write-behind mechanics.
| Part | Title | Focus | Key Topics | | :--- | :--- | :--- | :--- | | | JDBC and Database Essentials | Bridging the gap between developers and DBAs. | Connection management, batch updates, statement caching, result set fetching, transactions. | | Part II | JPA and Hibernate | Using JPA and Hibernate without compromising performance. | Efficient mappings, fetching best practices, caching, concurrency control. | | Part III | jOOQ | Advanced, type-safe SQL querying. | Window functions, CTEs, upsert, stored procedures, database functions. | This public link is valid for 7 days
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).
Enabling PreparedStatement caching at the JDBC driver level (e.g., cachePrepStmts=true in MySQL) reduces database CPU usage by reusing execution plans. Can’t copy the link right now
Mastering Java persistence requires moving away from treating frameworks as complete abstractions. As detailed extensively across Vlad Mihalcea's publications and workshops, high-performance data access is achieved by treating your ORM as a SQL generator rather than a database replacement.
Supporting the author through these official channels also grants you access to later updates—the book has received multiple revisions since its initial 2015 release.
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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.