Java Persistence with Spring Data and Hibernate

Catalin Tudose

• Publisher: Manning
• Year: 2023
• Print ISBN:
  9781617299186
• eBook ISBN:
  9781638351856
• Topic: Computer Science
• Subtopic: Databases
• Index: Computer Science

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

Table of contents

• inside front cover
• Java Persistence with Spring Data and Hibernate
• Copyright
• dedication
• brief contents
• contents
• front matter
• 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
• Appendix A. Maven
• Appendix B. Spring Data JPA keyword usage
• Appendix C. Spring Data JDBC keyword usage
• Appendix D. Spring Data MongoDB keyword usage
• references
• index
• inside back cover