Spring Data JPA: From Beginner to Expert cover

Spring Data JPA: From Beginner to Expert

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Word count
403K words
Chapters
15
ISBN
9787302499480

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Summary

Spring Data JPA: From Beginner to Expert uses Spring Boot as its technical foundation to introduce the usage, practical techniques, and underlying principles of Spring Data JPA in a progressive manner. Organized into three parts—Basics, Advanced, and Extensions—the book comprises 12 chapters. The Basics part provides a holistic view of JPA, outlines the Repository class hierarchy in Spring Data Common, and explains the capabilities and boundaries of CrudRepository, PagingAndSortingRepository, JpaRepository, and SimpleJpaRepository layer by layer. It then covers configuration for defining queries by method name, query strategies and keywords, and key points and common issues in using annotation-based query methods such as @Query, @Param, and @Modifying. The Advanced part focuses on common @Entity annotations, association annotations, and entity graphs, and delves into ways to extend JpaRepository, including QueryByExampleExecutor, JpaSpecificationExecutor, and custom Repositories. It also covers Auditing, @Version optimistic locking, MVC extension support, data source and transaction configuration, multi-data source configuration, and naming strategies. The Extensions part turns to practical development tools and the ecosystem, explaining how IntelliJ IDEA plugins such as Database and Persistence assist in analyzing JPA source code, and discussing integration practices for Spring Data Redis and Spring Cache, the syntax and application scenarios of SpEL expressions, and a quick start with Spring Data REST and its customization. The book combines sample code with syntax explanations, case demonstrations, and principle analysis.

Editor's review

很多团队用 Spring Data JPA 的常态是:简单查询顺手,一遇到多表关联、复杂分页或性能问题就退回到手写 SQL,框架的真实能力始终没被打开。这本书的价值在于把「会用」和「懂原理」之间的空隙补上。作者张振华有多年电商公司一线架构经验,书中不少内容来自实际项目踩过的坑,比如关系查询中的坑、命名策略的影响、多数据源与事务的边界,都是文档里一句带过、开发中却极易出问题的地方。全书结构清楚:先建立 Repository 的层次认知,再讲查询方法的定义方式与注解式查询,然后深入实体注解、扩展接口和数据源配置,最后用 IDEA 工具、Redis 缓存、SpEL、Spring Data REST 打开视野。每章都把语法说明、可运行的示例和机制剖析放在一起,读者既能查到写法,也能明白为什么这样写。对已经熟悉 Spring Boot 基本用法、希望在持久层少走弯路的开发者来说,这本书适合放在手边反复查阅。

Who it's for

A good fit for

  • 使用 Spring Boot 开发后端、需要系统掌握持久层写法的 Java 工程师
  • 已经会写简单 Repository,但不懂查询方法生成机制与扩展接口的开发者
  • 需要处理多数据源、事务、乐观锁等实际问题的项目组成员
  • 讲授 Java Web 与 Spring 全家桶课程的高校教师和培训讲师

Not a good fit for

  • 完全没有 Java 与 Spring 基础、尚在学语法的零基础读者
  • 主要使用 MyBatis 或原生 SQL、对 JPA 体系无需求的开发者
  • 希望深入 Hibernate 内核源码与数据库底层实现的高级研究者

Reading tips

  1. 先通读第1—2章建立 Repository 层次图,后续所有查询写法都能挂在这张图上理解。
  2. 第3—5章边读边在本地 Spring Boot 工程里复现示例,重点体会方法名查询与 @Query 的取舍。
  3. 第6—8章结合自己项目中的数据源与事务配置对照阅读,把多数据源、乐观锁部分当作排错手册。
  4. 第9—12章可按需选读;如果只用 JPA 做 CRUD,Redis 与 Spring Data REST 章节了解思路即可。

About the publisher

Tsinghua University Press China · Founded in 1980

Founded in 1980, Tsinghua University Press has 57 titles in our collection, covering popular science, medicine, health, law, philosophy and social sciences. Representative works include medical popular-science books such as Cancer Truth: Doctors Are Reading It Too and New Knowledge on Cancer by Bo Luo (Li Zhizhong), legal titles such as Sunshine Is the Best Preservative: Express Delivery of Major Global Anti-Corruption Cases, and works like Qi Ge's A Brief History of Philosophy with Big Ideas and Liu Yunhao's From the Internet to a New Industrial Revolution. Its authors include science writers, medical researchers, the Renmin University of China anti-corruption master's class and university scholars, reflecting a publishing profile that balances academic seriousness with accessible reading. As public information is limited, this profile is based only on the titles in our collection.

Contents

  1. Part I Basics
  2. Chapter 1 Understanding JPA as a Whole
  3. Chapter 2 Basic JPA Query Methods (Spring Data Common's Repository, Class Hierarchy, CrudRepository, PagingAndSortingRepository, JpaRepository, SimpleJpaRepository)
  4. Chapter 3 Defining Query Methods (Configuration Methods, Query Strategy Settings, Query Method Creation, Keyword List, Property Expressions, Query Result Handling, Implementation Mechanism)
  5. Chapter 4 Annotation-Based Query Methods (@Query, @Param, SpEL Support, @Modifying, @QueryHints, @Procedure, @NamedQueries)
  6. Chapter 5 Detailed Explanation of Common Annotations in @Entity Instances (Overview of javax.persistence, Basic Annotations, Association Annotations, Left Join and Inner Join and @EntityGraph, Pitfalls in Relational Queries)
  7. Part II Advanced
  8. Chapter 6 Detailed Explanation of JpaRepository Extensions (QueryByExampleExecutor, JpaSpecificationExecutor, Custom Repository)
  9. Chapter 7 Extensions of Spring Data JPA (Auditing and Events, @Version Optimistic Locking, MvcWeb Support, @EnableJpaRepositories, Default Logging, Spring Boot JPA Version Issues)
  10. Chapter 8 DataSource Configuration (Default Data Source, DruidDataSource, Transaction Handling, Multiple Data Sources, Naming Strategy, Traditional XML Configuration)
  11. Part III Extensions
  12. Chapter 9 IntelliJ IDEA and Spring JPA (Database Plugin, Persistence and JPA-Related Plugins, Source Code Analysis View)
  13. Chapter 10 Detailed Explanation of Spring Data Redis (Using Jedis, Spring Boot + Spring Data Redis Configuration, Combining with Spring Cache)
  14. Chapter 11 SpEL Expressions (Introduction, Basic Syntax, Main Classes and Principles, Main Usage Scenarios in Spring)
  15. Chapter 12 Spring Data REST (Quick Start, Customization, Spring Boot 2.0 Loading Principles, Future Development)

FAQ

这本书适合零基础学 Java 的人吗?
不太适合。书中默认读者已掌握 Java 语法和 Spring Boot 的基本用法,开篇即进入 JPA 体系与 Repository 层次。若完全没有 Spring 基础,建议先补一门 Spring Boot 入门课再回来看。
书中的技术版本是否已经过时?
本书 2018 年出版,以 Spring Boot 为基础讲解,示例基于当时的版本。JPA 注解与 Repository 的核心机制变化不大,但 Spring Boot 2.x 之后的配置细节、Spring Data 新版本特性需对照官方文档补充。
和第 2 版《Spring Data JPA 入门实战与进阶》有什么区别?
两者是不同图书。本书 2018 年由清华大学出版社出版,共 12 章,偏重语法与实践入门;2021 年机械工业出版社的《Spring Data JPA 入门实战与进阶》共 33 章,更侧重源码、原理与复杂场景,可根据深度需求选择。
需要提前准备什么环境?
建议准备 JDK 8 及以上、Maven 或 Gradle、IntelliJ IDEA,以及一个可连接的 MySQL 数据库。书中示例涉及数据源配置、事务与 Redis 缓存,本地跑通这些组件能明显提升阅读效果。

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