Spring Boot 3 Batch CSV Processor Example

This is a simple Spring Boot application that demonstrates how to process CSV file using Spring batch. It provides endpoint for invoking batch job to process sample CSV file provided in resources.

Features

• CSV File Processing: Process sample CSV file through a REST endpoint for processing.
• Data Persistence: Persist processed data into an H2 in-memory database using JPA.
• Custom Data Processor: Modify data before persisting it using a custom ItemProcessor.
• Job Listener: Log messages before and after the job process using a JobExecutionListener.
• Easy Configuration: Configure input/output paths, database properties, and batch job settings in the application.properties file.
• Dynamic Chunk Processing: Process data in chunks to handle large files efficiently.

Technologies Used

• Java
• Spring Boot
• Spring Batch
• Spring Data JPA
• H2 Database

Prerequisites

• Java 17 or higher installed on your machine
• Maven installed on your machine

Getting Started

1. Clone this repository to your local machine:

git clone https://github.com/harshrp/springboot3-batch-csv-processor.git

2. Navigate to the project directory:

cd springboot3-batch-csv-processor

3. Build the project using Maven:

mvn clean package

4. Run the application:

• Using maven
  mvn spring-boot:run

• From jar file Create a jar file using 'mvn clean install' command and then execute
  java -jar target/<jar_filename>.jar

• Directly from IDE
  Right click on BatchCsvProcessorApplication.java and click on 'Run' option
  
  

5. Once the application is running, you can access the endpoints using a REST client or any HTTP client library.

API Endpoints

Dynamic Logging Level Adjustment

• URL: /api/v1/processCustomer
• Method: GET
• Description: Endpoint to process sample CSV file provided in resources.

Configuration

• The H2 in-memory database is used for demonstration purposes. You can switch to another database by configuring the application.properties file accordingly.

License

This project is licensed under the MIT License - see the LICENSE file for details.