AWS RDS Spring Boot Integration

Overview

Configure AWS RDS databases (Aurora, MySQL, PostgreSQL) with Spring Boot applications. Provides patterns for datasource configuration, HikariCP connection pooling, SSL connections, environment-specific configurations, and AWS Secrets Manager integration.

When to Use

Use when configuring HikariCP connection pools for RDS workloads, implementing read/write split with Aurora replicas, setting up IAM database authentication, enabling SSL/TLS connections, managing database migrations with Flyway, or troubleshooting RDS connectivity issues.

Instructions

Follow these steps to configure AWS RDS with Spring Boot:

1. Add Dependencies — Include Spring Data JPA, database driver (MySQL/PostgreSQL), and Flyway

2. Configure Datasource — Set connection properties in application.yml

3. Configure HikariCP — Optimize pool settings for your RDS workload

4. Set Up SSL — Enable encrypted connections to RDS

5. Configure Profiles — Set environment-specific configurations (dev/prod)

6. Add Migrations — Create Flyway scripts for schema management

7. Validate Connectivity — Run health check to verify database connection

   If validation fails: Check security group rules, verify credentials, ensure RDS is accessible from your network, and confirm SSL certificate configuration.

8. Run Migrations — Apply Flyway migrations only after connectivity validation passes

Quick Start

Step 1: Add Dependencies

Maven (pom.xml):

<dependencies>
    <!-- Spring Data JPA -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-data-jpa</artifactId>
    </dependency>

    <!-- Aurora MySQL Driver -->
    <dependency>
        <groupId>com.mysql</groupId>
        <artifactId>mysql-connector-j</artifactId>
        <version>8.2.0</version>
        <scope>runtime</scope>
    </dependency>

    <!-- Aurora PostgreSQL Driver (alternative) -->
    <dependency>
        <groupId>org.postgresql</groupId>
        <artifactId>postgresql</artifactId>
        <scope>runtime</scope>
    </dependency>

    <!-- Flyway for database migrations -->
    <dependency>
        <groupId>org.flywaydb</groupId>
        <artifactId>flyway-core</artifactId>
    </dependency>

    <!-- Validation -->
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-validation</artifactId>
    </dependency>
</dependencies>

Gradle (build.gradle):

dependencies {
    implementation 'org.springframework.boot:spring-boot-starter-data-jpa'
    implementation 'org.springframework.boot:spring-boot-starter-validation'

    // Aurora MySQL
    runtimeOnly 'com.mysql:mysql-connector-j:8.2.0'

    // Aurora PostgreSQL (alternative)
    runtimeOnly 'org.postgresql:postgresql'

    // Flyway
    implementation 'org.flywaydb:flyway-core'
}

Step 2: Basic Datasource Configuration

Use the configuration in the Examples section below. For PostgreSQL, change:

• Driver: org.postgresql.Driver
• URL: jdbc:postgresql://... with ?ssl=true&sslmode=require
• Dialect: org.hibernate.dialect.PostgreSQLDialect

Step 3: Set Up Environment Variables

# Production environment variables
export DB_PASSWORD=YourStrongPassword123!
export SPRING_PROFILES_ACTIVE=prod

# For development
export SPRING_PROFILES_ACTIVE=dev

Database Migration Setup

Create migration files for Flyway:

src/main/resources/db/migration/
├── V1__create_users_table.sql
├── V2__add_phone_column.sql
└── V3__create_orders_table.sql

V1__create_users_table.sql:

CREATE TABLE users (
    id BIGINT AUTO_INCREMENT PRIMARY KEY,
    name VARCHAR(100) NOT NULL,
    email VARCHAR(255) NOT NULL UNIQUE,
    created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
    updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
    INDEX idx_email (email)
) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

Examples

Example 1: Aurora MySQL Configuration

spring:
  datasource:
    url: jdbc:mysql://myapp-aurora-cluster.cluster-abc123xyz.us-east-1.rds.amazonaws.com:3306/devops
    username: admin
    password: ${DB_PASSWORD}
    driver-class-name: com.mysql.cj.jdbc.Driver
    hikari:
      maximum-pool-size: 20
      minimum-idle: 5
      connection-timeout: 20000
  jpa:
    hibernate:
      ddl-auto: validate
    open-in-view: false

Example 2: Aurora PostgreSQL with SSL

spring.datasource.url=jdbc:postgresql://myapp-aurora-pg-cluster.cluster-abc123xyz.us-east-1.rds.amazonaws.com:5432/devops?ssl=true&sslmode=require
spring.datasource.username=${DB_USERNAME}
spring.datasource.password=${DB_PASSWORD}
spring.datasource.hikari.maximum-pool-size=30
spring.jpa.properties.hibernate.dialect=org.hibernate.dialect.PostgreSQLDialect

Example 3: Read/Write Split Configuration

@Configuration
public class DataSourceConfiguration {

    @Bean
    @Primary
    public DataSource dataSource(
            @Qualifier("writerDataSource") DataSource writerDataSource,
            @Qualifier("readerDataSource") DataSource readerDataSource) {
        Map<Object, Object> targetDataSources = new HashMap<>();
        targetDataSources.put("writer", writerDataSource);
        targetDataSources.put("reader", readerDataSource);

        RoutingDataSource routingDataSource = new RoutingDataSource();
        routingDataSource.setTargetDataSources(targetDataSources);
        routingDataSource.setDefaultTargetDataSource(writerDataSource);

        return routingDataSource;
    }
}

Constraints and Warnings

• HikariCP pool size must respect RDS instance connection limits
• Security groups must allow traffic from your application's IP range
• Use AWS Secrets Manager instead of hardcoding credentials
• Enable storage autoscaling to prevent storage exhaustion

Best Practices

• HikariCP: Enable leak detection and configure timeouts for failover scenario