| 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. |
Suitable for data updated by the application, backed by a distributed caching provider like Ehcache or Hazelcast to handle lock serialization. Optimistic vs. Pessimistic Locking
: You can buy the PDF/Ebook Edition or comprehensive video courses at Teachable . vlad mihalcea high-performance java persistence pdf
This is the most common ORM anti-pattern. It occurs when an application executes one query to fetch a parent entity and then executes
In the modern enterprise landscape, application performance is often dictated by the efficiency of its data access layer. While Hibernate and JPA (Java Persistence API) provide immense convenience, misusing them can lead to severe performance bottlenecks, such as the infamous | Part | Title | Focus | Key
Chapter 10 dives deep into , explaining how to choose the right entity mapping for different use cases. This is often cited as a "must-read chapter" by community reviewers.
I can provide the exact configuration properties or code snippets to fix your bottleneck. Share public link | Suitable for data updated by the application,
: The digital version (PDF, EPUB, MOBI) is available on Leanpub , which includes a free sample of the content.
What are you trying to solve right now?
How Hibernate detects modifications to entities and how to optimize the session flush mode to avoid unnecessary processing. 3. Transactions and Concurrency Control