{
  "id": 18919329,
  "title": "🚀 Building Spring by Example V2: Completing Module 07 - Spring Batch",
  "url": "https://urgent.news/2026/11/08/building-spring-by-example-v2-completing-module-07-spring-batch",
  "topic": "tech",
  "section": "Tech",
  "published": "2026-11-08T10:57:33.000Z",
  "source": {
    "name": "Dev.to",
    "slug": "dev-to",
    "url": "https://dev.to/iammujuzimoses/building-spring-by-example-v2-completing-module-07-spring-batch-kof"
  },
  "original_language": "en",
  "account": "When learning about Spring, many tutorials demonstrated features without explaining the underlying reasons or how the components fit within a real-world application. To address this, I began a project called spring-by-example. The approach is straightforward: rather than constructing a single large application, I create a series of small, focused examples that each delve into a specific Spring concept, accompanied by clear explanations, tests, and documentation. I am pleased to announce that I have now completed Module 07 - Spring Batch.\n\nThis module progresses from the basics of batch processing to advanced topics such as job execution metadata, restartability, fault tolerance, and testing. The module encompasses:\n\nJobs and Steps: A Job represents the entire batch process, while Steps define the individual operations that comprise that process.\n\nJob Parameters: Parameters enable values to be supplied to a job during runtime, allowing for runtime customization of job behavior.\n\nItem Readers, Processors, and Writers: These constitute the cornerstone of chunk-oriented processing. An ItemReader retrieves input data, an ItemProcessor modifies or filters it, and an ItemWriter outputs the processed items. For instance, a processor might convert an order description to uppercase:\n@Override\npublic ProcessedOrder process(Order order) {\nreturn new ProcessedOrder(order.getId(), order.getDescription().toUpperCase(Locale.ROOT));\n}\n\nChunk-Oriented Processing: This technique groups items into batches for processing and writing, enhancing transaction boundaries and controlling execution flow. For example, processing items in groups of three:\nnew ChunkOrientedStepBuilder(Order, ProcessedOrder) (processOrdersStep, jobRepository, 3)\n.reader(orderItemReader)\n.processor(orderItemProcessor)\n.writer(orderItemWriter)\n.build();\n\nTasklet Processing: Unlike chunk-oriented processing, a tasklet is suitable for a single operation or a small, self-contained task, such as archiving records or executing database operations.\n\nJob Execution and Metadata: Spring Batch records information about job instances, job executions, and step executions within a JDBC-backed JobRepository, enabling the exposure of execution data via REST endpoints and understanding the outcome of a batch run.\n\nRestartability: A key feature of Spring Batch, restartability allows a batch job to fail partway through execution without necessitating a complete restart. The job can leverage persisted execution metadata and execution contexts to resume processing from the point it left off.\n\nSkip and Retry: Spring Batch offers policies for handling failures differently. Some records may be invalid and can be skipped, while temporary failures might be retried. For example:\n.faultTolerant()\n.skipPolicy(skipPolicy)\n.retryPolicy(retryPolicy)\n\nThe module concludes with batch testing, utilizing @SpringBatchTest, JobOperatorTestUtils, and Spring Boot testing support. This covers testing individual components, executing jobs and steps, verifying execution metadata, and testing step-scoped components. It emphasizes that batch application testing requires more than just verifying the final output; it also entails checking execution status, read/write counts, commit counts, job parameters, and the behavior of individual steps.\n\nThe spring-by-example project is open source, and I continue to expand it as I learn more. You can find it on GitHub (https://github.com/dsAQrAU5) or GitLab (https://gitlab.com/gfDEyGH3).\n\nCompleting Module 07 - Spring Batch represents a significant milestone in my journey. The next module will be Spring Integration, where I will continue to explore the Spring ecosystem through small, focused, runnable examples. One focused example at a time.",
  "summary": "When I started learning Spring, I noticed something about many of the tutorials I found. They often showed how to use a feature, but not always why it worked or how the different pieces fitted together in a real application. I learn best by building things and documenting what I discover, so I started a project called spring-by-example . The idea is simple: instead of building one large…",
  "key_points": [
    "Module 07 - Spring Batch completed, covering jobs, steps, readers, processors, writers",
    "Introduced concepts like job parameters, chunk-oriented processing, and tasklet processing",
    "Emphasized restartability, skip/retry policies, and batch testing techniques"
  ],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}