Absolutely. With the rise of , persistence has become tricky again. Reflection, proxies, and dynamic bytecode generation (Hibernate's specialty) often break native compilation.
| Part | Focus | Key Topics | | :--- | :--- | :--- | | | The low-level interactions between your application and the database. | Connection management, transaction handling, batch updates, statement caching, and result set fetching. | | Part II: JPA & Hibernate | Optimizing ORM frameworks without losing their benefits. | Efficient mappings for associations, inheritance, fetching strategies (e.g., JOIN, SELECT, SUBSELECT), caching, and concurrency control. | | Part III: jOOQ | Type-safe, expressive SQL. | Leveraging jOOQ for complex queries involving window functions, common table expressions, and upsert. | High-performance Java Persistence.pdf
Executing SQL statements one by one creates immense network overhead. JDBC batching groups multiple insert, update, or delete operations into a single network packet. Absolutely
To execute bulk writes efficiently, you must explicitly enable JDBC batching in your application.properties or persistence.xml : properties | Part | Focus | Key Topics |