This guide shows how to scale
Spring Boot applications using
SAP HANA Express as the backend database for performance and availability.
1. Use Connection Pooling
Spring Boot supports
HikariCP by default. Configure pooling in
application.properties:
spring.datasource.url=jdbc:sap://localhost:39015/?databaseName=HXE
spring.datasource.username=SYSTEM
spring.datasource.password=YourPassword
spring.datasource.driver-class-name=com.sap.db.jdbc.Driver
spring.datasource.hikari.maximum-pool-size=20
spring.datasource.hikari.minimum-idle=5
spring.datasource.hikari.idle-timeout=30000
spring.datasource.hikari.max-lifetime=1800000
This ensures efficient use of database connections under load.
2. Use Caching for Heavy Queries
Enable Spring Cache:
import org.springframework.cache.annotation.Cacheable;
import org.springframework.stereotype.Service;
@Service
public class ReportService {
private final ReportRepository repo;
public ReportService(ReportRepository repo) {
this.repo = repo;
}
@Cacheable("salesReport")
public Object getSalesReport() {
return repo.findSalesSummary();
}
}
@Cacheable reduces repeated database calls.
3. Scale with Multiple Instances
Run multiple Spring Boot instances:
java -jar app.jar --server.port=8081
java -jar app.jar --server.port=8082
Use a
load balancer (NGINX, HAProxy, or Kubernetes Service) to distribute requests.
4. Configure HANA for High Performance
- Use column store tables for analytical queries.
- Create indexes on frequently filtered columns.
- Use partitioning for large tables.
Example:
CREATE COLUMN TABLE SALES (
ID INTEGER PRIMARY KEY,
PRODUCT NVARCHAR(100),
REGION NVARCHAR(50),
AMOUNT DECIMAL(10,2)
) PARTITION BY HASH (REGION);
5. Monitoring and Metrics
Enable Spring Actuator for metrics:
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
Check health and metrics:
GET /actuator/health
GET /actuator/metrics
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