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# AWS RDS Aurora Advanced Configuration
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## Read/Write Split Configuration
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For applications with heavy read operations, configure separate datasources:
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**Multi-Datasource Configuration Class:**
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```java
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@Configuration
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public class AuroraDataSourceConfig {
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@Primary
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@Bean(name = "writerDataSource")
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@ConfigurationProperties("spring.datasource.writer")
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public DataSource writerDataSource() {
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return DataSourceBuilder.create().build();
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}
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@Bean(name = "readerDataSource")
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@ConfigurationProperties("spring.datasource.reader")
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public DataSource readerDataSource() {
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return DataSourceBuilder.create().build();
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}
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@Primary
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@Bean(name = "writerEntityManagerFactory")
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public LocalContainerEntityManagerFactoryBean writerEntityManagerFactory(
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EntityManagerFactoryBuilder builder,
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@Qualifier("writerDataSource") DataSource dataSource) {
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return builder
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.dataSource(dataSource)
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.packages("com.example.domain")
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.persistenceUnit("writer")
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.build();
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}
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@Bean(name = "readerEntityManagerFactory")
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public LocalContainerEntityManagerFactoryBean readerEntityManagerFactory(
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EntityManagerFactoryBuilder builder,
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@Qualifier("readerDataSource") DataSource dataSource) {
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return builder
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.dataSource(dataSource)
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.packages("com.example.domain")
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.persistenceUnit("reader")
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.build();
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}
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@Primary
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@Bean(name = "writerTransactionManager")
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public PlatformTransactionManager writerTransactionManager(
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@Qualifier("writerEntityManagerFactory") EntityManagerFactory entityManagerFactory) {
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return new JpaTransactionManager(entityManagerFactory);
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}
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@Bean(name = "readerTransactionManager")
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public PlatformTransactionManager readerTransactionManager(
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@Qualifier("readerEntityManagerFactory") EntityManagerFactory entityManagerFactory) {
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return new JpaTransactionManager(entityManagerFactory);
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}
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}
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```
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**Usage in Repository:**
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```java
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@Repository
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public interface UserReadRepository extends JpaRepository<User, Long> {
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// Read operations automatically use reader endpoint
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}
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@Repository
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public interface UserWriteRepository extends JpaRepository<User, Long> {
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// Write operations use writer endpoint
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}
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```
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## SSL/TLS Configuration
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Enable SSL for secure connections to Aurora:
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**Aurora MySQL with SSL:**
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```properties
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spring.datasource.url=jdbc:mysql://myapp-aurora-cluster.cluster-abc123xyz.us-east-1.rds.amazonaws.com:3306/devops?useSSL=true&requireSSL=true&verifyServerCertificate=true
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```
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**Aurora PostgreSQL with SSL:**
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```properties
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spring.datasource.url=jdbc:postgresql://myapp-aurora-pg-cluster.cluster-abc123xyz.us-east-1.rds.amazonaws.com:5432/devops?ssl=true&sslmode=require
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```
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**Download RDS Certificate:**
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```bash
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# Download RDS CA certificate
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wget https://truststore.pki.rds.amazonaws.com/global/global-bundle.pem
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# Configure in application
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spring.datasource.url=jdbc:mysql://...?useSSL=true&trustCertificateKeyStoreUrl=file:///path/to/global-bundle.pem
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```
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## AWS Secrets Manager Integration
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**Add AWS SDK Dependency:**
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```xml
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<dependency>
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<groupId>software.amazon.awssdk</groupId>
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<artifactId>secretsmanager</artifactId>
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<version>2.20.0</version>
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</dependency>
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```
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**Secrets Manager Configuration:**
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```java
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@Configuration
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public class AuroraDataSourceConfig {
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@Value("${aws.secretsmanager.secret-name}")
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private String secretName;
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@Value("${aws.region}")
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private String region;
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@Bean
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public DataSource dataSource() {
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Map<String, String> credentials = getAuroraCredentials();
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HikariConfig config = new HikariConfig();
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config.setJdbcUrl(credentials.get("url"));
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config.setUsername(credentials.get("username"));
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config.setPassword(credentials.get("password"));
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config.setMaximumPoolSize(20);
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config.setMinimumIdle(5);
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config.setConnectionTimeout(20000);
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return new HikariDataSource(config);
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}
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private Map<String, String> getAuroraCredentials() {
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SecretsManagerClient client = SecretsManagerClient.builder()
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.region(Region.of(region))
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.build();
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GetSecretValueRequest request = GetSecretValueRequest.builder()
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.secretId(secretName)
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.build();
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GetSecretValueResponse response = client.getSecretValue(request);
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String secretString = response.secretString();
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// Parse JSON secret
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ObjectMapper mapper = new ObjectMapper();
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try {
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return mapper.readValue(secretString, Map.class);
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} catch (Exception e) {
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throw new RuntimeException("Failed to parse secret", e);
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}
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}
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}
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```
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**application.properties (Secrets Manager):**
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```properties
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aws.secretsmanager.secret-name=prod/aurora/credentials
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aws.region=us-east-1
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```
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## Database Migration with Flyway
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### Setup Flyway
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**Create Migration Directory:**
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```
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src/main/resources/db/migration/
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├── V1__create_users_table.sql
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├── V2__add_phone_column.sql
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└── V3__create_orders_table.sql
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```
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**V1__create_users_table.sql:**
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```sql
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CREATE TABLE users (
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id BIGINT AUTO_INCREMENT PRIMARY KEY,
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name VARCHAR(100) NOT NULL,
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email VARCHAR(255) NOT NULL UNIQUE,
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created_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP NOT NULL DEFAULT CURRENT_TIMESTAMP ON UPDATE CURRENT_TIMESTAMP,
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INDEX idx_email (email)
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) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;
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```
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**V2__add_phone_column.sql:**
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```sql
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ALTER TABLE users ADD COLUMN phone VARCHAR(20);
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```
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**Flyway Configuration:**
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```properties
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spring.jpa.hibernate.ddl-auto=validate
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spring.flyway.enabled=true
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spring.flyway.baseline-on-migrate=true
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spring.flyway.locations=classpath:db/migration
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spring.flyway.validate-on-migrate=true
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```
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## Connection Pool Optimization for Aurora
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**Recommended HikariCP Settings:**
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```properties
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# Aurora-optimized connection pool
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spring.datasource.hikari.maximum-pool-size=20
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spring.datasource.hikari.minimum-idle=5
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spring.datasource.hikari.connection-timeout=20000
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spring.datasource.hikari.idle-timeout=300000
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spring.datasource.hikari.max-lifetime=1200000
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spring.datasource.hikari.leak-detection-threshold=60000
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spring.datasource.hikari.connection-test-query=SELECT 1
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```
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**Formula for Pool Size:**
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```
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connections = ((core_count * 2) + effective_spindle_count)
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For Aurora: Use 20-30 connections per application instance
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```
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## Failover Handling
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Aurora automatically handles failover between instances. Configure connection retry:
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```properties
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# Connection retry configuration
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spring.datasource.hikari.connection-timeout=30000
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spring.datasource.url=jdbc:mysql://cluster-endpoint:3306/db?failOverReadOnly=false&maxReconnects=3&connectTimeout=30000
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```
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## Read Replica Load Balancing
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Use reader endpoint for distributing read traffic across replicas:
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```properties
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# Reader endpoint for read-heavy workloads
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spring.datasource.reader.url=jdbc:mysql://cluster-ro-endpoint:3306/db
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```
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## Performance Optimization
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**Enable batch operations:**
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```properties
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spring.jpa.properties.hibernate.jdbc.batch_size=20
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spring.jpa.properties.hibernate.order_inserts=true
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spring.jpa.properties.hibernate.order_updates=true
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spring.jpa.properties.hibernate.batch_versioned_data=true
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```
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**Disable open-in-view pattern:**
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```properties
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spring.jpa.open-in-view=false
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```
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**Production logging configuration:**
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```properties
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# Disable SQL logging in production
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logging.level.org.hibernate.SQL=WARN
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logging.level.org.springframework.jdbc=WARN
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# Enable HikariCP metrics
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logging.level.com.zaxxer.hikari=INFO
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logging.level.com.zaxxer.hikari.pool=DEBUG
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```
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**Enable Spring Boot Actuator for metrics:**
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```xml
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<dependency>
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<groupId>org.springframework.boot</groupId>
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<artifactId>spring-boot-starter-actuator</artifactId>
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</dependency>
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```
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```properties
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management.endpoints.web.exposure.include=health,metrics,info
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management.endpoint.health.show-details=always
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```
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