High-Performance Java Persistence – Chapter 12 – Inheritance
Are you struggling with performance issues in your Spring, Jakarta EE, or Java EE application?
What if there were a tool that could automatically detect what caused performance issues in your JPA and Hibernate data access layer?
Wouldn’t it be awesome to have such a tool to watch your application and prevent performance issues during development, long before they affect production systems?
Well, Hypersistence Optimizer is that tool! And it works with Spring Boot, Spring Framework, Jakarta EE, Java EE, Quarkus, Micronaut, or Play Framework.
So, rather than fixing performance issues in your production system on a Saturday night, you are better off using Hypersistence Optimizer to help you prevent those issues so that you can spend your time on the things that you love!
Part 2, Chapter 12
Every new chapter of my book is released right after it’s being completed, so the reader doesn’t have to wait for the whole part to be finished to get access to new material.
Table of content
This chapter explains JPA inheritance from a data access performance point of view.
12. Inheritance 12.1 Single table 12.2 Join table 12.3 Table-per-class 12.4 Mapped superclass
Chapter summary
Inheritance is undoubtedly the most obvious impedance mismatch between an object-oriented domain model and a relational database schema. This chapter explains the benefits of entity inheritance and its inherent trade-offs.
As a rule of thumb, inheritance should be used with care.
Most often, when polymorphic queries and associations are needed, the choice is between single table and joined table, each one having pluses and minuses. Table-per-class can generate statements that are way too complex, and if entity polymorphism is not needed, the @MappedSuperclass might be a better alternative anyway.
