一、简介
Spring Cloud Ribbon 是一个基于Http和TCP的客服端负载均衡工具，它是基于Netflix Ribbon实现的。它不像服务注册中心、配置中心、API网关那样独立部署，但是它几乎存在于每个微服务的基础设施中。包括前面的提供的声明式服务调用也是基于该Ribbon实现的。理解Ribbon对于我们使用Spring Cloud来讲非常的重要，因为负载均衡是对系统的高可用、网络压力的缓解和处理能力扩容的重要手段之一。在上节的例子中，我们采用了声明式的方式来实现负载均衡。实际上，内部调用维护了一个RestTemplate对象，该对象会使用Ribbon的自动化配置，同时通过@LoadBalanced开启客户端负载均衡。其实RestTemplate是Spring自己提供的对象，不是新的内容。读者不知道RestTemplate可以查看相关的文档。
二、探索
我们可以从LoadBalanced开始追踪：
/**
* Annotation to mark a RestTemplate bean to be configured to use a LoadBalancerClient
* @author Spencer Gibb
*/
@Target({ ElementType.FIELD, ElementType.PARAMETER, ElementType.METHOD })
@Retention(RetentionPolicy.RUNTIME)
@Documented
@Inherited
@Qualifier
public @interface LoadBalanced {
}
从其该注解的定义注释我们可以知道，该注解用来给RestTemplate做标记，以使用负载均衡的客户端（LoadBalancerClient）来配置RestTemplate。接着我们来查看一下LoadBalancerClient这个接口定义:
/**
* Represents a client side load balancer
* @author Spencer Gibb
*/
public interface LoadBalancerClient extends ServiceInstanceChooser { /**
* execute request using a ServiceInstance from the LoadBalancer for the specified
* service
* @param serviceId the service id to look up the LoadBalancer
* @param request allows implementations to execute pre and post actions such as
* incrementing metrics
* @return the result of the LoadBalancerRequest callback on the selected
* ServiceInstance
*/
<T> T execute(String serviceId, LoadBalancerRequest<T> request) throws IOException; /**
* execute request using a ServiceInstance from the LoadBalancer for the specified
* service
* @param serviceId the service id to look up the LoadBalancer
* @param serviceInstance the service to execute the request to
* @param request allows implementations to execute pre and post actions such as
* incrementing metrics
* @return the result of the LoadBalancerRequest callback on the selected
* ServiceInstance
*/
<T> T execute(String serviceId, ServiceInstance serviceInstance, LoadBalancerRequest<T> request) throws IOException; /**
* Create a proper URI with a real host and port for systems to utilize.
* Some systems use a URI with the logical serivce name as the host,
* such as http://myservice/path/to/service. This will replace the
* service name with the host:port from the ServiceInstance.
* @param instance
* @param original a URI with the host as a logical service name
* @return a reconstructed URI
*/
URI reconstructURI(ServiceInstance instance, URI original);
}
LoadBalancerClient 是集成 ServiceInstanceChooser，接着我们查看一下该接口定义:
public interface ServiceInstanceChooser {
/**
* Choose a ServiceInstance from the LoadBalancer for the specified service
* @param serviceId the service id to look up the LoadBalancer
* @return a ServiceInstance that matches the serviceId
*/
ServiceInstance choose(String serviceId);
}
从上面的注解中，我们可以知道 choose()方法根据传入的serviceId服务Id，从负载均衡器选择一个一个对应的服务实例。execute()方法根据serviceId服务ID和请求request来执行请求内容。reconstructURI()方法构建出一个合适的Host:Port的URI。而 RibbonLoadBalancerClient就是LoadBalancerClient的具体实现。
接着我们查看LoadBalancerClient所在的包，结构如下:
我们发现有一个类我们需要去关注一下:LoadBalancerAutoConfiguration ，从其源码注解中我们知道是一个为Ribbon 自动化配置类。注释如下：
/**
* Auto configuration for Ribbon (client side load balancing).
*
* @author Spencer Gibb
* @author Dave Syer
* @author Will Tran
*/
@Configuration
@ConditionalOnClass(RestTemplate.class) //条件 : RestTemplate必须在工程的类路径下
@ConditionalOnBean(LoadBalancerClient.class) //条件: Spring 容器中必须包含LoadBalancerClient的实现，即RibbonLoadBalancerClient
@EnableConfigurationProperties(LoadBalancerRetryProperties.class) //启动重试功能，可以spring.cloud.loadbalancer.retry=false,取消重试，默认参数为true
public class LoadBalancerAutoConfiguration { @LoadBalanced
@Autowired(required = false)
private List<RestTemplate> restTemplates = Collections.emptyList(); //维护一个RestTemplate列表，通过LoadBalanced来注解。 @Bean
public SmartInitializingSingleton loadBalancedRestTemplateInitializer( //加载初始话自定义的restTeplate,实质是初始化InterceptingHttpAccessor具体调用
final List<RestTemplateCustomizer> customizers) {
return new SmartInitializingSingleton() {
@Override
public void afterSingletonsInstantiated() {
for (RestTemplate restTemplate : LoadBalancerAutoConfiguration.this.restTemplates) {
for (RestTemplateCustomizer customizer : customizers) {
customizer.customize(restTemplate);
}
}
}
};
} @Autowired(required = false)
private List<LoadBalancerRequestTransformer> transformers = Collections.emptyList(); @Bean
@ConditionalOnMissingBean
public LoadBalancerRequestFactory loadBalancerRequestFactory(
LoadBalancerClient loadBalancerClient) {
return new LoadBalancerRequestFactory(loadBalancerClient, transformers);
} @Configuration
@ConditionalOnMissingClass("org.springframework.retry.support.RetryTemplate")
static class LoadBalancerInterceptorConfig {
@Bean
public LoadBalancerInterceptor ribbonInterceptor(
LoadBalancerClient loadBalancerClient,
LoadBalancerRequestFactory requestFactory) {
return new LoadBalancerInterceptor(loadBalancerClient, requestFactory);
} @Bean
@ConditionalOnMissingBean
public RestTemplateCustomizer restTemplateCustomizer(
final LoadBalancerInterceptor loadBalancerInterceptor) {
return new RestTemplateCustomizer() {
@Override
public void customize(RestTemplate restTemplate) {
List<ClientHttpRequestInterceptor> list = new ArrayList<>(
restTemplate.getInterceptors());
list.add(loadBalancerInterceptor);
restTemplate.setInterceptors(list);
}
};
}
} @Configuration
@ConditionalOnClass(RetryTemplate.class)
static class RetryAutoConfiguration {
@Bean
public RetryTemplate retryTemplate() {
RetryTemplate template = new RetryTemplate();
template.setThrowLastExceptionOnExhausted(true);
return template;
} @Bean
@ConditionalOnMissingBean
public LoadBalancedRetryPolicyFactory loadBalancedRetryPolicyFactory() {
return new LoadBalancedRetryPolicyFactory.NeverRetryFactory();
} @Bean
public RetryLoadBalancerInterceptor ribbonInterceptor(
LoadBalancerClient loadBalancerClient, LoadBalancerRetryProperties properties,
LoadBalancedRetryPolicyFactory lbRetryPolicyFactory,
LoadBalancerRequestFactory requestFactory) {
return new RetryLoadBalancerInterceptor(loadBalancerClient, retryTemplate(), properties,
lbRetryPolicyFactory, requestFactory);
} @Bean
@ConditionalOnMissingBean
public RestTemplateCustomizer restTemplateCustomizer( //自定义RestTemplate ,实质是初始化InterceptingHttpAccessor
final RetryLoadBalancerInterceptor loadBalancerInterceptor) {
return new RestTemplateCustomizer() {
@Override
public void customize(RestTemplate restTemplate) {
List<ClientHttpRequestInterceptor> list = new ArrayList<>(
restTemplate.getInterceptors());
list.add(loadBalancerInterceptor);
restTemplate.setInterceptors(list);
}
};
}
}
}
从上面代码得知，我们需要了解一下LoadBalancerInterceptor，该类用于实现对客户端发起请求时进行拦截，以实现客户端的负载均衡。在需要更多的章节才能理清其关系，我还要细细的阅读，等阅读差不多在给大家讲讲。
三、配置
当于Spring Cloud应用引入Ribbon和Eureka的时候，会触发Eureka中实现的Ribbon的自动化配置。
serverList 的维护机制是由 DiscoveryEnabledNIWSServerList的实例维护，该类会将服务清单列表交给Eureka的服务治理机制来维护。
IPing的实现由 NIWSDiscoveryPing 的实例维护，该类也将服务检查交给Eureka的服务治理机制来维护。
默认情况下，用于获取实例请求的ServiceList接口实现是采用Spring Cloud Eureka中封装的DomainExtractingServerList.由于Spring Cloud Ribbon默认实现了区域亲和策略，所以我们可以通过Eureka实例的元数据配置来实现区域化的实例配置方案。
比如 eureka.instance.metadataMap.zone=hangzhou. 通过zone参数来指定自己所在的区域。
在Spring Cloud Ribbon 与 Spring Cloud Eureka结合工程中，我们可以通过参数配置方式来禁用Eureka对Ribbon服务实例的维护实现。
ribbon.eureka.enabled=false