7.9 KiB
7.9 KiB
AWS RDS Aurora Advanced Configuration
Read/Write Split Configuration
For applications with heavy read operations, configure separate datasources:
Multi-Datasource Configuration Class:
@Configuration
public class AuroraDataSourceConfig {
@Primary
@Bean(name = "writerDataSource")
@ConfigurationProperties("spring.datasource.writer")
public DataSource writerDataSource() {
return DataSourceBuilder.create().build();
}
@Bean(name = "readerDataSource")
@ConfigurationProperties("spring.datasource.reader")
public DataSource readerDataSource() {
return DataSourceBuilder.create().build();
}
@Primary
@Bean(name = "writerEntityManagerFactory")
public LocalContainerEntityManagerFactoryBean writerEntityManagerFactory(
EntityManagerFactoryBuilder builder,
@Qualifier("writerDataSource") DataSource dataSource) {
return builder
.dataSource(dataSource)
.packages("com.example.domain")
.persistenceUnit("writer")
.build();
}
@Bean(name = "readerEntityManagerFactory")
public LocalContainerEntityManagerFactoryBean readerEntityManagerFactory(
EntityManagerFactoryBuilder builder,
@Qualifier("readerDataSource") DataSource dataSource) {
return builder
.dataSource(dataSource)
.packages("com.example.domain")
.persistenceUnit("reader")
.build();
}
@Primary
@Bean(name = "writerTransactionManager")
public PlatformTransactionManager writerTransactionManager(
@Qualifier("writerEntityManagerFactory") EntityManagerFactory entityManagerFactory) {
return new JpaTransactionManager(entityManagerFactory);
}
@Bean(name = "readerTransactionManager")
public PlatformTransactionManager readerTransactionManager(
@Qualifier("readerEntityManagerFactory") EntityManagerFactory entityManagerFactory) {
return new JpaTransactionManager(entityManagerFactory);
}
}
Usage in Repository:
@Repository
public interface UserReadRepository extends JpaRepository<User, Long> {
// Read operations automatically use reader endpoint
}
@Repository
public interface UserWriteRepository extends JpaRepository<User, Long> {
// Write operations use writer endpoint
}
SSL/TLS Configuration
Enable SSL for secure connections to Aurora:
Aurora MySQL with SSL:
spring.datasource.url=jdbc:mysql://myapp-aurora-cluster.cluster-abc123xyz.us-east-1.rds.amazonaws.com:3306/devops?useSSL=true&requireSSL=true&verifyServerCertificate=true
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
Download RDS Certificate:
# Download RDS CA certificate
wget https://truststore.pki.rds.amazonaws.com/global/global-bundle.pem
# Configure in application
spring.datasource.url=jdbc:mysql://...?useSSL=true&trustCertificateKeyStoreUrl=file:///path/to/global-bundle.pem
AWS Secrets Manager Integration
Add AWS SDK Dependency:
<dependency>
<groupId>software.amazon.awssdk</groupId>
<artifactId>secretsmanager</artifactId>
<version>2.20.0</version>
</dependency>
Secrets Manager Configuration:
@Configuration
public class AuroraDataSourceConfig {
@Value("${aws.secretsmanager.secret-name}")
private String secretName;
@Value("${aws.region}")
private String region;
@Bean
public DataSource dataSource() {
Map<String, String> credentials = getAuroraCredentials();
HikariConfig config = new HikariConfig();
config.setJdbcUrl(credentials.get("url"));
config.setUsername(credentials.get("username"));
config.setPassword(credentials.get("password"));
config.setMaximumPoolSize(20);
config.setMinimumIdle(5);
config.setConnectionTimeout(20000);
return new HikariDataSource(config);
}
private Map<String, String> getAuroraCredentials() {
SecretsManagerClient client = SecretsManagerClient.builder()
.region(Region.of(region))
.build();
GetSecretValueRequest request = GetSecretValueRequest.builder()
.secretId(secretName)
.build();
GetSecretValueResponse response = client.getSecretValue(request);
String secretString = response.secretString();
// Parse JSON secret
ObjectMapper mapper = new ObjectMapper();
try {
return mapper.readValue(secretString, Map.class);
} catch (Exception e) {
throw new RuntimeException("Failed to parse secret", e);
}
}
}
application.properties (Secrets Manager):
aws.secretsmanager.secret-name=prod/aurora/credentials
aws.region=us-east-1
Database Migration with Flyway
Setup Flyway
Create Migration Directory:
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;
V2__add_phone_column.sql:
ALTER TABLE users ADD COLUMN phone VARCHAR(20);
Flyway Configuration:
spring.jpa.hibernate.ddl-auto=validate
spring.flyway.enabled=true
spring.flyway.baseline-on-migrate=true
spring.flyway.locations=classpath:db/migration
spring.flyway.validate-on-migrate=true
Connection Pool Optimization for Aurora
Recommended HikariCP Settings:
# Aurora-optimized connection pool
spring.datasource.hikari.maximum-pool-size=20
spring.datasource.hikari.minimum-idle=5
spring.datasource.hikari.connection-timeout=20000
spring.datasource.hikari.idle-timeout=300000
spring.datasource.hikari.max-lifetime=1200000
spring.datasource.hikari.leak-detection-threshold=60000
spring.datasource.hikari.connection-test-query=SELECT 1
Formula for Pool Size:
connections = ((core_count * 2) + effective_spindle_count)
For Aurora: Use 20-30 connections per application instance
Failover Handling
Aurora automatically handles failover between instances. Configure connection retry:
# Connection retry configuration
spring.datasource.hikari.connection-timeout=30000
spring.datasource.url=jdbc:mysql://cluster-endpoint:3306/db?failOverReadOnly=false&maxReconnects=3&connectTimeout=30000
Read Replica Load Balancing
Use reader endpoint for distributing read traffic across replicas:
# Reader endpoint for read-heavy workloads
spring.datasource.reader.url=jdbc:mysql://cluster-ro-endpoint:3306/db
Performance Optimization
Enable batch operations:
spring.jpa.properties.hibernate.jdbc.batch_size=20
spring.jpa.properties.hibernate.order_inserts=true
spring.jpa.properties.hibernate.order_updates=true
spring.jpa.properties.hibernate.batch_versioned_data=true
Disable open-in-view pattern:
spring.jpa.open-in-view=false
Production logging configuration:
# Disable SQL logging in production
logging.level.org.hibernate.SQL=WARN
logging.level.org.springframework.jdbc=WARN
# Enable HikariCP metrics
logging.level.com.zaxxer.hikari=INFO
logging.level.com.zaxxer.hikari.pool=DEBUG
Enable Spring Boot Actuator for metrics:
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
management.endpoints.web.exposure.include=health,metrics,info
management.endpoint.health.show-details=always