Hibernate Physical Naming Strategy

Introduction In this article, I’m going to show you how the Hibernate Physical Naming Strategy works and how you can use it to customize the default mapping between entity attributes and database identifiers.

9 High-Performance Tips when using Oracle with JPA and Hibernate

Introduction In this article, I’m going to show you 9 tips that will help you speed up your Oracle database application when using JPA and Hibernate. To get the most out of the relational database in use, you need to make sure the data access layer resonates with the underlying database system, so, in this article, I’m going to present you several tips that can boost up the performance of your Oracle, JPA and Hibernate applications.

Hibernate Application Performance Tuning

Introduction Because performance tuning is very important when it comes to developing a data access layer, in this article, I’m going to show you how you can optimize the famous Hibernate Caveat Emptor application using Hypersistence Optimizer. The Caveat Emptor application was created by Christian Bauer and Gavin King for the Hibernate in Action book they published in 2004 and was included in both the first and second editions of the well-known Java Persistence with Hibernate book.

High-Performance Java Persistence Newsletter, Issue 27

Introduction Welcome to a new issue of the High-Performance Java Persistence Newsletter in which we share articles, videos, workshops, and StackOverflow answers that are very relevant to any developer who interacts with a database system using Java.

Use Hibernate Dynamic Update for JSON properties

Introduction In this article, I’m going to explain why you should always use the Hibernate Dynamic Update feature for entities that map JSON properties. Since Hibernate ORM does not offer support for JSON column types, we are going to use the Hypersistence Utils library, which provides a JsonType that allows you to map String, Map, List, JsonNode, Java Records, or POJOs on JSON columns, no matter if you are using PostgreSQL, MySQL, Oracle, SQL Server, or H2.