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Service registration and discovery in Spring Cloud microservices

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Release: 2023-06-23 09:48:06
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With the continuous development of Internet business, single applications can no longer meet the needs of complex business needs, and microservice architecture has gradually become a popular business architecture model. Spring Cloud is one of the important supporting technologies under the microservice architecture system, and the implementation of its service discovery and registration functions is very important. This article will explain in detail the service registration and discovery functions in Spring Cloud.

  1. Background

In the microservice architecture, each functional module is an independent service. Services need to communicate with each other, so a mechanism is needed to manage them. Communication between services. The service registration and discovery mechanism is such a mechanism that enables services to dynamically register and discover other services so that they can communicate and cooperate.

Spring Cloud provides a service registration and discovery mechanism, integrating different registration centers, such as Eureka and consul. Among them, Eureka is one of the most popular registration centers with high availability and performance.

  1. Service Registration

The purpose of service registration is to register the service to the registration center so that other services can use it. In Spring Cloud, the service discovery and registration functions are enabled through the @EnableDiscoveryClient annotation. At the same time, relevant configuration information needs to be added to the application.yml file.

server:
  port: 8080
spring:
  application:
    name: service-demo
eureka:
  client:
    service-url:
      defaultZone: http://localhost:8000/eureka/
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In the above configuration, application.name is the name of the service, and eureka.client.service-url.defaultZone is the address of the registration center.

  1. Service discovery

The purpose of service discovery is to find the required service instances from the registration center and then call these service instances according to the load balancing policy. Spring Cloud provides a variety of solutions for service discovery and load balancing, such as Ribbon, Feign, etc.

When using Ribbon to implement service discovery and load balancing, you need to add relevant dependencies in the pom.xml file. The sample code is as follows:

<dependency>
  <groupId>org.springframework.cloud</groupId>
  <artifactId>spring-cloud-starter-netflix-eureka-client</artifactId>
  <version>2.2.6.RELEASE</version>
</dependency>
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First, you need to add the @EnableDiscoveryClient annotation to the startup class to enable service registration and discovery functions. Then, you can use the @LoadBalanced annotation to create a load-balanced RestTemplate instance, and then use this instance to call other services. The sample code is as follows:

@RestController
public class ServiceController {
    @Autowired
    private RestTemplate restTemplate;
 
    @RequestMapping("/getProduct")
    public String getProduct() {
        String result = restTemplate.getForObject("http://product-service/product", String.class);
        return "get product from " + result;
    }
 
    @Bean
    @LoadBalanced
    public RestTemplate restTemplate() {
        return new RestTemplate();
    }
}

@SpringBootApplication
@EnableDiscoveryClient
public class ServiceDemoApplication {
    public static void main(String[] args) {
        SpringApplication.run(ServiceDemoApplication.class, args);
    }
}
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In the above code, use the restTemplate.getForObject() method to call other services , you need to use "application name" instead of the actual address, such as "http://product-service/product", where product-service is the service name.

  1. Summary

Spring Cloud provides service registration and discovery functions, allowing each service instance to discover and call each other. Through this mechanism, each component in the microservice architecture can be more conveniently managed and scheduled, and the availability and scalability of the overall system can be improved.

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