Master Java persistence using the industry-leading tools Spring Data and Hibernate.

In Java Persistence with Spring Data and Hibernate you will learn:

Mapping persistent classes, value types, and inheritance

Mapping collections and entity associations

Processing transactions with Spring Data and Hibernate

Creating fetch plans, strategies, and profiles

Filtering data

Building Spring Data REST projects

Using Java persistence with non-relational databases

Querying JPA with QueryDSL

Testing Java persistence applications

Java Persistence with Spring Data and Hibernate teaches you the ins-and-outs of Java persistence with hands-on examples using Spring Data, JPA, and Hibernate. The book carefully analyzes the capabilities of the major Java persistence tools, and guides you through the most common use cases. By comparing and contrasting the alternatives, you’ll find it easy to choose the right tool choice for your applications. You’ll learn how to make and utilize mapping strategies, about the different approach to transactions for both Hibernate and Spring Data, and even how to efficiently test Java persistence applications. The practical techniques are demonstrated with both relational and non-relational databases.

Forewords by Dmitry Aleksandrov and Mohamed Taman.

About the technology

Effectively managing application data is essential for any serious application. Spring Data and Hibernate bridge the gap between object-oriented code and relational data stores, radically simplifying Java persistence. By implementing the Java Persistence API (JPA) standard, these powerful tools help you avoid common bugs related to state and application data storage.

About the book

Java Persistence with Spring Data and Hibernate explores Java persistence using industry-standard tools. Hands-on examples introduce object-relational mapping and guide you through different mapping strategies to suit your needs. Covering transactions, persistent application testing, and non-relational databases, this book is your go-to resource for managing data in Java applications.

What's inside

Mapping persistent classes, value types, and inheritance

Creating fetch plans, strategies, and profiles

Building Spring Data REST projects

Querying JPA with QueryDSL

About the reader

For intermediate Java programmers.

About the author

Catalin Tudose has more than 20 years of experience in the Java community. Christian Bauer, Gavin King, and Gary Gregory are the authors of Java Persistence with Hibernate, Second Edition, on which this book is based.

Table of Contents

PART 1 - GETTING STARTED WITH ORM

1 Understanding object/relational persistence

2 Starting a project

3 Domain models and metadata

4 Working with Spring Data JPA

PART 2 - MAPPING STRATEGIES

5 Mapping persistent classes

6 Mapping value types

7 Mapping inheritance

8 Mapping collections and entity associations

9 Advanced entity association mappings

PART 3 - TRANSACTIONAL DATA PROCESSING

10 Managing data

11 Transactions and concurrency

12 Fetch plans, strategies, and profiles

13 Filtering data

PART 4 - BUILDING JAVA PERSISTENCE APPLICATIONS WITH SPRING

14 Integrating JPA and Hibernate with Spring

15 Working with Spring Data JDBC

16 Working with Spring Data REST

PART 5 - BUILDING JAVA PERSISTENCE APPLICATIONS WITH SPRING

17 Working with Spring Data MongoDB

18 Working with Hibernate OGM

PART 6 - WRITING QUERIES AND TESTING JAVA PERSISTENCE APPLICATIONS

19 Querying JPA with Querydsl

20 Testing Java persistence applications