⚙️ What is Spring Batch?

Spring Batch is a powerful framework used to process large amounts of data in bulk in a reliable, scalable, and transactional way.

It’s ideal for:

  • Reading from files or databases
  • Processing/transforming data
  • Writing to databases, CSVs, or other systems

🎯 Use cases: Report generation, data migration, billing systems, ETL jobs


📦 Key Concepts in Spring Batch

Term Meaning
Job The entire batch process (like a full ETL task)
Step A single stage in the job (e.g., read → process → write)
ItemReader Reads data from a source (DB, file, etc.)
ItemProcessor Processes/filters/transforms the data
ItemWriter Writes the processed data to a destination

🧱 Basic Architecture

Job
 └── Step(s)
      ├── ItemReader
      ├── ItemProcessor
      └── ItemWriter

🛠️ Example: CSV → Process → DB

  1. Read customers from CSV
  2. Process (e.g., remove duplicates)
  3. Write to a database

🚀 Spring Boot + Spring Batch Setup

✅ Add Dependencies

<dependency>
  <groupId>org.springframework.boot</groupId>
  <artifactId>spring-boot-starter-batch</artifactId>
</dependency>

✅ Create a Job Configuration

 

@Configuration
@EnableBatchProcessing
public class BatchConfig {

    @Bean
    public Job job(JobBuilderFactory jobBuilder, Step step) {
        return jobBuilder.get("importJob").start(step).build();
    }

    @Bean
    public Step step(StepBuilderFactory stepBuilder,
                     ItemReader<String> reader,
                     ItemProcessor<String, String> processor,
                     ItemWriter<String> writer) {
        return stepBuilder.get("step1")
                .<String, String>chunk(10)
                .reader(reader)
                .processor(processor)
                .writer(writer)
                .build();
    }
}

 


🧪 Run the Job

Spring Boot runs the job on startup by default, or you can trigger it manually via a scheduler, REST call, or job launcher.


✅ Why Use Spring Batch?

  • Handles large-scale data processing
  • Supports retries, logging, skip logic
  • Easy integration with Spring ecosystem
  • Built-in support for multi-threading, chunk processing, job restart, etc.
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