Spring Batch ETL (Extract, Transform, Load)

The Spring Batch ETL (Extract, Transform, Load) project is a robust solution for efficiently processing and managing large-scale data transformations within a Spring Boot environment. Leveraging the power of Spring Batch, the project provides a structured and scalable approach to handling data extraction from a MySQL database, applying transformation logic, and loading the transformed data into a different database table.

Table of Contents

• Key Components
• Additional Notes

Project Structure

The project has the following main components:

• Configuration Classes (com.etl.batch.config):

  • BatchConfiguration: Configures Spring Batch job, step, reader, processor, and writer.

• Controller (com.etl.batch.controller):

  • BatchController: Exposes an endpoint to trigger the Spring Batch job.

• Domain Classes (com.etl.batch.domain):

  • Profile: Represents the target entity to store processed data.
  • User: Represents the source entity from which data is extracted.

• Listener (com.etl.batch.listener):

  • JobCompletionNotificationListener: Notifies when the Spring Batch job is completed.

• Processor (com.etl.batch.processor):

  • ProfileItemProcessor: Implements the logic to transform User entities into Profile entities.

• Main Application Class (com.etl.batch.SpringBatchDemoApplication):

  • SpringBatchDemoApplication: The main class to run the Spring Boot application.

• SQL Data Files:

  • users.sql: Contains sample user data for testing.

Additional Notes

• The Spring Batch job reads data from the User table, processes it using the ProfileItemProcessor, and writes the transformed data to the Profile table.
• The JobCompletionNotificationListener provides a simple notification when the job is completed.