Beginning Spring Data : Data Access and Persistence for Spring Framework 6 and Boot 3 / by Andres Sacco.

Format:

Book

Author/Creator:

Sacco, Andres, author.

Language:

English

Subjects (All):

Java (Computer program language).

Programming languages (Electronic computers).

Computer science.

Java.

Programming Language.

Computer Science.

Local Subjects:

Java.

Programming Language.

Computer Science.

Physical Description:

1 online resource (424 pages)

Edition:

1st ed. 2023.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2023.

Summary:

Use the popular Spring Data project for data access and persistence using various Java-based APIs such as JDBC, JPA, MongoDB, and more. This book shows how to easily incorporate data persistence and accessibility into your microservices, cloud-native applications, and monolithic enterprise applications. It also teaches you how to perform unit and performance testing of a component that accesses a database. And it walks you through an example of each type of SQL and NoSQL database covered. After reading this book, you’ll be able to create an application that interacts with one or multiple types of databases, and conduct unit and performance testing to analyze possible problems. Source code is available on GitHub. You will: Become familiar with the Spring Data project and its modules for data access and persistence Explore various SQL and NoSQL persistence types Uncover the persistence and domain models, and handle transaction management for SQL Migrate database changes and versioning for SQL Dive into NoSQL persistence with Redis, MongoDB, Neo4j, and Cassandra Handle reactive database programming and access with R2DBC and MongoDB Conduct unit, integration, and performance testing, and more.

Contents:

Part I - Introduction

1. Architecture of the Applications

2. Spring Basics and Beyond

3. Spring Data and Persistence Types

Part II - SQL Persistence

4. Persistence and Domain Model

5. Transaction Management

6. Versioning or Migrate the Changes of the Database

Part III - NO-SQL Persistence

7. Redis key/value Database

8. MongoDB Document Database

9. Neo4j Graph Database

10. Cassandra wide-column Database

11. Reactive access w/R2DBC and MongoDB

12. Unit/Integration Testing

13. Performance Testing

14. Best Practices

Appendix A

Appendix B

Appendix C

Appendix D

Appendix E

Appendix F.

Notes:

Includes index.

ISBN:

9781484287644

1484287649

OCLC:

1356572719