Implementing a Database Loader in Spring Boot Without Duplicates and Ensuring Unique IDs

Introduction

In real-world enterprise applications, handling bulk data inserts efficiently while ensuring data integrity is crucial. Duplicate records can lead to inconsistencies, and maintaining unique identifiers is essential for reliable operations. Additionally, handling failures, concurrency issues, and external API dependencies require a robust strategy.

This blog provides a detailed implementation of a database loader in Spring Boot that prevents duplicate entries, ensures unique IDs, handles request failures, and manages concurrency.

Prerequisites

• Java 17 or later
• Spring Boot 3.x
• Spring Data JPA
• PostgreSQL/MySQL (or any relational database)
• HikariCP for connection pooling
• Lombok (optional, for reducing boilerplate code)

Step 1: Configuring Connection Pooling with HikariCP

HikariCP is the default connection pool used in Spring Boot and provides efficient connection management.

Add Database Configuration in application.properties

spring.datasource.url=jdbc:mysql://localhost:3306/mydb
spring.datasource.username=root
spring.datasource.password=password…