SpringBatch Batch Processing Framework cover

SpringBatch Batch Processing Framework

Rating 3.5
Word count
114K words
Chapters
88
ISBN
9787121252419

Tags

Summary

This book provides a comprehensive and systematic introduction to the Spring Batch framework. Through detailed hands-on examples, it demonstrates the framework's core capabilities for big data batch processing and offers a focused analysis of its architecture and source code. While helping readers master both the basic and advanced features of Spring Batch, it also delves into the framework's design principles, enabling readers to use Spring Batch with confidence. The book is divided into three parts: Getting Started, Fundamentals, and Advanced Topics. The Getting Started part introduces batch processing, the key features and new features of Spring Batch, and a quick-start HelloWorld example, guiding readers into the world of data batch processing.

Editor's review

Spring Batch in Action is one of the earliest Chinese-language books to systematically explain Spring Batch, filling a gap in Chinese-language resources on the subject at the time. Drawing on extensive enterprise development experience, author Liu Xiang breaks down complex batch processing concepts into clear architecture diagrams and code examples. The book's value lies in its systematic approach—covering everything from fundamental concepts and core components (Job, Step, ItemReader/ItemProcessor/ItemWriter) to advanced features (parallel processing, partitioning, fault tolerance), with particular attention to the new features of Spring Batch 3.x. Compared with the fragmented official documentation, this book offers a coherent learning path and practical scenarios such as financial reconciliation and data migration. Its discussion of production-critical issues like transaction management and monitoring reflects the author's deep understanding of real-world industrial pain points. Although published relatively early (2015), its core design ideas and architectural patterns remain relevant today, making it especially suitable as a guide from beginner to advanced level for developers building reliable batch processing systems.

Who it's for

A good fit for

  • Java backend developers with Spring fundamentals who need to handle large-volume data tasks
  • Technical architects and team leads evaluating or implementing batch processing frameworks
  • Engineers with practical needs in data ETL, scheduled reporting, and inter-system data synchronization
  • Learners seeking a systematic study of enterprise-level batch processing design patterns and best practices

Not a good fit for

  • Absolute beginners with no Spring or Java background (Spring Core knowledge recommended first)
  • Developers who only need lightweight scheduled tasks and have no complex requirements for a full batch framework

Reading tips

  1. Read the chapters in order, focusing on the three core concepts: Job, Step, and the chunk processing model
  2. Use the code examples to debug and extend them in a local environment to reinforce your understanding of how components work together
  3. Keep the final two chapters on monitoring and performance optimization as a reference manual to revisit during project deployment

About the publisher

Publishing House of Electronics Industry China · Founded in 1982

The Publishing House of Electronics Industry is a comprehensive publisher distinguished by its focus on electronic information and related fields. Judging from the more than 3,000 titles in its catalogue, its publishing covers programming and design, artificial intelligence, computer science, finance and economics, photography, and social sciences, attending both to cutting-edge technology and to general readers. Representative titles include Factor Investing: Methods and Practice, x86 Assembly Language: From Real Mode to Protected Mode, The RISC-V Reader, Artificial Intelligence: Speech Recognition, Understanding and Practice, Phased Array Radar Technology, Radar Target Characteristics, and 100 Go Mistakes and How to Avoid Them, most of which centre on technical methods and engineering practice. Its authors include Shi Chuan, Li Zhong, Wang Xiaobo, David Patterson, Andrew Waterman, and Yu Zihao, among others from China and abroad. Owing to limited public information, no further publishing features are elaborated here.

Contents

  1. 版权信息
  2. 批处理编程之美
  3. 前言
  4. 第1篇 入门篇
  5. 第1章 Spring Batch简介
  6. 1.1 什么是批处理
  7. 1.2 Spring Batch
  8. 1.3 Spring Batch优势
  9. 1.4 Spring Batch 2.0新特性
  10. 1.5 Spring Batch 2.2新特性
  11. 1.6 开发环境搭建
  12. 第2章 Spring Batch之Hello World
  13. 2.1 场景说明
  14. 2.2 项目准备
  15. 2.3 定义job基础设施
  16. 2.4 定义对账Job
  17. 2.5 执行Job
  18. 2.6 概念预览
  19. 第2篇 基本篇
  20. 第3章 Spring Batch基本概念
  21. 3.1 命名空间
  22. 3.2 Job
  23. 3.3 Step
  24. 3.4 Execution Context
  25. 3.5 Job Repository
  26. 3.6 Job Launcher
  27. 3.7 ItemReader
  28. 3.8 ItemProcessor
  29. 3.9 ItemWriter
  30. 第4章 配置作业Job
  31. 4.1 基本配置
  32. 4.2 高级特性
  33. 4.3 运行Job
  34. 第5章 配置作业步Step
  35. 5.1 配置Step
  36. 5.2 配置Tasklet
  37. 5.3 配置Chunk
  38. 5.4 拦截器
  39. 第6章 读数据ItemReader
  40. 6.1 ItemReader
  41. 6.2 Flat格式文件
  42. 6.3 XML格式文件
  43. 6.4 读多文件
  44. 6.5 读数据库
  45. 6.6 读JMS队列
  46. 6.7 服务复用
  47. 6.8 自定义ItemReader
  48. 6.9 拦截器
  49. 第7章 写数据ItemWriter
  50. 7.1 ItemWrite
  51. 7.2 Flat格式文件
  52. 7.3 XML格式文件
  53. 7.4 写多文件
  54. 7.5 写数据库
  55. 7.6 写JMS队列
  56. 7.7 组合写
  57. 7.8 Item路由Writer
  58. 7.9 发送邮件
  59. 7.10 服务复用
  60. 7.11 自定义ItemWrite
  61. 7.12 拦截器
  62. 第8章 处理数据ItemProcessor
  63. 8.1 ItemProcessor
  64. 8.2 数据转换
  65. 8.3 数据过滤
  66. 8.4 数据校验
  67. 8.5 组合处理器
  68. 8.6 服务复用
  69. 8.7 拦截器
  70. 第3篇 高级篇
  71. 第9章 作业流Step Flow
  72. 9.1 顺序Flow
  73. 9.2 条件Flow
  74. 9.3 并行Flow
  75. 9.4 外部Flow定义
  76. 9.5 Step数据共享
  77. 9.6 终止Job
  78. 第10章 健壮Job
  79. 10.1 跳过Skip
  80. 10.2 重试Retry
  81. 10.3 重启Restart
  82. 第11章 扩展Job、并行处理
  83. 11.1 可扩展性
  84. 11.2 多线程Step
  85. 11.3 并行Step
  86. 11.4 远程Step
  87. 11.5 分区Step
  88. 后记

FAQ

Which version of Spring Batch are the code examples based on?
The content is primarily based on Spring Batch 3.x; some examples may require adjustments for newer versions, but the core design patterns remain the same.
Does the book cover cloud-native or distributed batch processing solutions?
The book was published relatively early and does not cover today's popular cloud-native batch solutions (such as Spring Cloud Task/Batch), but the chapters on partitioning and remote chunking provide foundational ideas for distributed batch processing.
Is this book suitable as technical training material for a team?
With its clear structure and typical cases, the book is well suited as reference material for internal batch processing technology transition or onboarding training; selecting chapters based on actual project needs is recommended.

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About the author

刘相 Author

Liu Xiang is an author of programming books about whom limited public information is available; the only work verifiably attributed to this name is Spring Batch: A Batch Processing Framework. Judging from the title and its subject category, the book is aimed at Java developers and centers on the Spring Batch framework, covering how batch processing jobs are organized and put into engineering practice. It belongs to the practical technical writing found in the programming and design field. As no reliable information has been disclosed about the author's education, professional career, or research focus, no speculation is offered here. Based on what is available, Liu Xiang's writing tends to use a specific framework as its thread, organizing development methods and experience into a reference work that readers can consult as needed, suitable for those who want to understand or get started with the relevant technology.

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