⚙️ 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
🛠️ Example: CSV → Process → DB
- Read customers from CSV
- Process (e.g., remove duplicates)
- Write to a database
🚀 Spring Boot + Spring Batch Setup
✅ Add Dependencies
✅ Create a Job Configuration
🧪 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.