Spring Batch Demo Project

A comprehensive Spring Boot application demonstrating core Spring Batch concepts, from basic Tasklets to advanced Chunk-oriented processing with error handling and scheduling.

🚀 Features

• Chunk-oriented Processing: Efficiently handles data in chunks (Reader -> Processor -> Writer).
• CSV to Database: Reads data from CSV files and persists them into an H2 database.
• Fault Tolerance:
  • Skip Logic: Automatically skips malformed data.
  • Retry Logic: Retries failed operations (e.g., network issues).
  • SkipListener: Custom logging for skipped items.
• Scheduling: Automated job execution using Cron expressions (configured for 2 AM daily).
• H2 Console: Built-in web interface to inspect the database.
• Dockerized: Ready to run in any containerized environment.

🛠️ Tech Stack

• Java 17
• Spring Boot 3.x
• Spring Batch
• H2 Database (In-memory)
• Lombok
• Docker

📋 Prerequisites

• Docker (for containerized execution)
• Maven (for local execution)

🏃 Getting Started

Local Execution

1. Build the project:

   ./mvnw clean package -DskipTests

2. Run the application:

   ./mvnw spring-boot:run

Docker Execution

1. Build the Docker image:

   docker build -t spring-batch-demo .

2. Run the container:

   docker run -p 8080:8080 spring-batch-demo

🔍 Verifying Data

Once the application is running, you can access the H2 console to verify the processed data:

• URL: http://localhost:8080/h2-console
• JDBC URL: jdbc:h2:mem:testdb
• User: sa
• Password: (empty)

Query the data:

SELECT * FROM USERS;

⚙️ Configuration

The job is currently configured to run every 10 seconds for testing purposes (via fixedRate in BatchScheduler.java). To switch to 2 AM daily, use the provided Cron expression:

@Scheduled(cron = "0 0 2 * * *")