微服务生态组件之Spring Cloud LoadBalancer详解和源码分析
Spring Cloud LoadBalancer
概述
Spring Cloud LoadBalancer目前Spring官方是放在spring-cloud-commons里，Spring Cloud最新版本为2021.0.2
Spring Cloud LoadBalancer 官网文档地址 https://docs.spring.io/spring-cloud-commons/docs/3.1.2/reference/html/#spring-cloud-loadbalancer
Spring Cloud官网文档地址 https://docs.spring.io/spring-cloud/docs/current/reference/html/
一方面Netflix Ribbon停止更新，Spring Cloud LoadBalancer是Spring Cloud官方自己提供的客户端负载均衡器,抽象和实现，用来替代Ribbon。
- 常见负载均衡器分为服务端负载均衡器(如网关层均衡负载)和客户端层均衡负载。
- 网关层如硬件层面的F5或软件层面的LVS、或者nginx等。
- 客户端层就如Spring Cloud LoadBalancer，作为一个客户端去发现更新维护服务列表，自定义服务的均衡负载策略（随机、轮询、小流量的金丝雀等等）。
Spring Cloud提供了自己的客户端负载平衡器抽象和实现。对于负载均衡机制，增加了ReactiveLoadBalancer接口，并提供了基于round-robin轮询和Random随机的实现。为了从响应式ServiceInstanceListSupplier中选择实例，需要使用ServiceInstanceListSupplier。目前支持ServiceInstanceListSupplier的基于服务发现的实现，该实现使用类路径中的发现客户端从Service Discovery中检索可用的实例。
可以通过如下配置来禁用Spring Cloud LoadBalance
spring:cloud:loadbalancer:enabled: false
入门示例
前面simple-ecommerce项目创建已在父Pom引入三大父依赖，详细可以看下前面的文章<<SpringCloudAlibaba注册中心与配置中心之利器Nacos实战与源码分析>>，其中Spring Cloud的版本为2021.0.1，前面文章也已说过，Spring Cloud Alibaba整合在spring-cloud-starter-alibaba-nacos-discovery本身就依赖spring-cloud-loadbalancer。
注意如果是Hoxton之前的版本，默认负载均衡器为Ribbon，需要移除Ribbon引用和增加配置spring.cloud.loadbalancer.ribbon.enabled: false。
如果是在Spring Boot项目中添加下面的启动器依赖，该starter也包含了Spring Boot Caching and Evictor.
<dependency><groupId>org.springframework.cloud</groupId><artifactId>spring-cloud-starter-loadbalancer</artifactId></dependency>
我们使用Spring官方提供了负载均衡的客户端之一RestTemplate，RestTemplate是Spring提供的用于访问Rest服务的客户端，RestTemplate提供了多种便捷访问远程Http服务的方法，能够大大提高客户端的编写效率。默认情况下，RestTemplate默认依赖jdk的HTTP连接工具。创建RestTemplateConfig配置类，标注 @LoadBalanced注解，默认使用的ReactiveLoadBalancer实现是RoundRobinLoadBalancer。
package cn.itxs.ecom.order.config;import org.springframework.cloud.client.loadbalancer.LoadBalanced;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;@Configuration
public class RestTemplateConfig {@LoadBalanced@Beanpublic RestTemplate restTemplate() {return new RestTemplate() ;}
}
订单微服务中订单控制器增加deductRest方法
package cn.itxs.ecom.order.controller;import cn.itxs.ecom.commons.service.OrderService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.client.RestTemplate;/*** @Name ：OrderController* @Description ：订单控制器* @Author ：itxs* @Date ：2022/4/10 20:15* @Version ：1.0* @History ：*/
@RestController
public class OrderController {@AutowiredOrderService orderService;@Autowiredprivate RestTemplate restTemplate;@RequestMapping("/create/{userId}/{commodityCode}/{count}")public String create(@PathVariable("userId") String userId,@PathVariable("commodityCode") String commodityCode, @PathVariable("count") int count){return orderService.create(userId,commodityCode,count).toString();}@RequestMapping("/deductRest/{commodityCode}/{count}")public String deductRest(@PathVariable("commodityCode") String commodityCode, @PathVariable("count") int count){String url = "http://ecom-storage-service/deduct/"+commodityCode+"/"+count;return restTemplate.getForObject(url, String.class);}
}
前面server.port我们是放在Nacos配置中心里，这里我们注释Nacos配置中心的配置放在本地配置文件bootstrap.yml里，分别配置为4080、4081、4082启动3个库存服务实例，并启动订单微服务
server:port: 4080
查看nacos服务管理-服务列表里服务详情，可以看到3个健康的库存实例和1个订单微服务实例
访问6次订单dedect接口：http://localhost:4070/deductRest/1001/1 ，从测试的结果也验证了LoadBalancer默认是轮询负载均衡策略。
负载均衡算法切换
创建自定义负载均衡配置类CustomLoadBalancerConfiguration
package cn.itxs.ecom.order.config;import org.springframework.cloud.client.ServiceInstance;
import org.springframework.cloud.loadbalancer.core.RandomLoadBalancer;
import org.springframework.cloud.loadbalancer.core.ReactorLoadBalancer;
import org.springframework.cloud.loadbalancer.core.ServiceInstanceListSupplier;
import org.springframework.cloud.loadbalancer.support.LoadBalancerClientFactory;
import org.springframework.context.annotation.Bean;
import org.springframework.core.env.Environment;public class CustomLoadBalancerConfiguration {@BeanReactorLoadBalancer<ServiceInstance> randomLoadBalancer(Environment environment,LoadBalancerClientFactory loadBalancerClientFactory) {String name = environment.getProperty(LoadBalancerClientFactory.PROPERTY_NAME);return new RandomLoadBalancer(loadBalancerClientFactory.getLazyProvider(name, ServiceInstanceListSupplier.class),name);}
}
RestTemplateConfig配置类LoadBalancerClient指定随机的配置类，value的值为提供者也即是库存微服务名称。
package cn.itxs.ecom.order.config;import org.springframework.boot.web.client.RestTemplateBuilder;
import org.springframework.cloud.client.loadbalancer.LoadBalanced;
import org.springframework.cloud.loadbalancer.annotation.LoadBalancerClient;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;@Configuration
@LoadBalancerClient(value = "ecom-storage-service", configuration = CustomLoadBalancerConfiguration.class)
public class RestTemplateConfig {@LoadBalanced@Beanpublic RestTemplate restTemplate(RestTemplateBuilder builder) {return builder.build() ;}
}
多次访问订单dedect接口测试确认已切换为随机负载均衡策略。
集成方式
官网提供3中集成Spring Cloud LoadBalancer的方式，除了第一种上面已使用过，还支持Spring Web Flux响应式编程，WebClient是从Spring WebFlux 5.0版本开始提供的一个非阻塞的基于响应式编程的进行Http请求的客户端工具。它的响应式编程的基于Reactor的。WebClient中提供了标准Http请求方式对应的get、post、put、delete等方法，可以用来发起相应的请求。
在订单微服务中引入spring-boot-starter-webflux依赖
<dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-webflux</artifactId></dependency>
订单微服务中增加WebClientConfig配置类
package cn.itxs.ecom.order.config;import org.springframework.cloud.client.loadbalancer.LoadBalanced;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.reactive.function.client.WebClient;@Configuration
public class WebClientConfig {@LoadBalanced@BeanWebClient.Builder webClientBuilder() {return WebClient.builder();}@BeanWebClient webClient() {return webClientBuilder().build();}
}
订单微服务订单控制器中添加WebClient接口实现，代码如下
@Autowiredprivate WebClient webClient; @RequestMapping(value = "/deductWebClient/{commodityCode}/{count}")public Mono<String> deductWebClient(@PathVariable("commodityCode") String commodityCode, @PathVariable("count") int count) {String url = "http://ecom-storage-service/deduct/"+commodityCode+"/"+count;// 基于WebClientMono<String> result = webClient.get().uri(url).retrieve().bodyToMono(String.class);return result;}
重新启动订单微服务
访问订单控制器中的减库存WebClient接口，http://localhost:4070/deductWebClient/1001/1 ，结果返回成功
我们还可以配置基于过滤器的方式，通过WebClient使用ReactiveLoadBalancer。如果项目中添加了Spring Cloud LoadBalancer starter，并且Spring -webflux在类路径中，ReactorLoadBalancerExchangeFilterFunction则是自动配置的。
订单微服务订单控制器中添加WebClient使用ReactiveLoadBalancer接口实现，代码如下
@Autowiredprivate ReactorLoadBalancerExchangeFilterFunction lbFunction; @RequestMapping(value = "/deductWebFluxReactor/{commodityCode}/{count}")public Mono<String> deductWebFluxReactor(@PathVariable("commodityCode") String commodityCode, @PathVariable("count") int count) {String url = "/deduct/"+commodityCode+"/"+count;Mono<String> result = WebClient.builder().baseUrl("http://ecom-storage-service").filter(lbFunction).build().get().uri(url).retrieve().bodyToMono(String.class);return result;}
重新启动订单微服务
访问订单控制器中的减库存WebClient接口，http://localhost:4070/deductWebFluxReactor/1001/1 ，结果返回成功
关于LoadBalancer官网还提供很多其他功能，有兴趣可自行详细查阅和动手实验
原理
RestTemplate
Spring Cloud LoadBalancer源码分析我们先从RestTemplate负载均衡的简单实现来分析入手，除此之外其支持Spring Web Flux响应式编程的实现原理思想也是相同，都是通过客户端添加拦截器，在拦截器中实现负载均衡。从RestTemplate的源码中可以知道其继承自InterceptingHttpAccessor抽象类
而InterceptingHttpAccessor抽象类则提供了一个方法setInterceptors，用于设置拦截器，拦截器需要实现ClientHttpRequestInterceptor接口即可，在实际远程请求服务端接口之前会先调用拦截器的intercept方法。这里的拦截器相当于Servlet技术中的Filter功能
// 代码实现在抽象父类InterceptingHttpAccessor里// RestTemplate.InterceptingHttpAccessor#setInterceptorspublic void setInterceptors(List<ClientHttpRequestInterceptor> interceptors) {Assert.noNullElements(interceptors, "'interceptors' must not contain null elements");// Take getInterceptors() List as-is when passed in hereif (this.interceptors != interceptors) {this.interceptors.clear();this.interceptors.addAll(interceptors);AnnotationAwareOrderComparator.sort(this.interceptors);}}
LoadBalancerAutoConfiguration
从官网可以知道Spring Cloud LoadBalancer放在spring-cloud-commons，因此也作为其核心的@LoadBalanced注解也就是由spring-cloud-commons来实现，依据SpringBoot自动装配的原理先查看依赖包的实现逻辑，不难发现spring-cloud-commons引入了自动配置类LoadBalancerAutoConfiguration和ReactorLoadBalancerClientAutoConfiguration。
当满足上述的条件时（@Conditional为条件注解），将自动创建LoadBalancerInterceptor并注入到RestTemplate中。
LoadBalancerLnterceptor
LoadBalancerInterceptor实现了ClientHttpRequestInterceptor接口，因此也实现intercept方法，用于实现负载均衡的拦截处理。
LoadBalancerClient
LoadBalancerClient用于进行负载均衡逻辑，继承自ServiceInstanceChooser接口，从服务列表中选择出一个服务地址进行调用。在LoadBalancerClient种存在两个execute()方法，均是用来执行请求的，reconstructURI()是用来重构URL。
对于LoadBalancerClient接口Spring Cloud LoadBalancer的提供默认实现为BlockingLoadBalancerClient
@SuppressWarnings({ "unchecked", "rawtypes" })
public class BlockingLoadBalancerClient implements LoadBalancerClient {private final ReactiveLoadBalancer.Factory<ServiceInstance> loadBalancerClientFactory;/*** @deprecated in favour of* {@link BlockingLoadBalancerClient#BlockingLoadBalancerClient(ReactiveLoadBalancer.Factory)}*/@Deprecatedpublic BlockingLoadBalancerClient(LoadBalancerClientFactory loadBalancerClientFactory,LoadBalancerProperties properties) {this.loadBalancerClientFactory = loadBalancerClientFactory;}public BlockingLoadBalancerClient(ReactiveLoadBalancer.Factory<ServiceInstance> loadBalancerClientFactory) {this.loadBalancerClientFactory = loadBalancerClientFactory;}@Overridepublic <T> T execute(String serviceId, LoadBalancerRequest<T> request) throws IOException {String hint = getHint(serviceId);LoadBalancerRequestAdapter<T, DefaultRequestContext> lbRequest = new LoadBalancerRequestAdapter<>(request,new DefaultRequestContext(request, hint));Set<LoadBalancerLifecycle> supportedLifecycleProcessors = getSupportedLifecycleProcessors(serviceId);supportedLifecycleProcessors.forEach(lifecycle -> lifecycle.onStart(lbRequest));ServiceInstance serviceInstance = choose(serviceId, lbRequest);// 选择服务if (serviceInstance == null) {supportedLifecycleProcessors.forEach(lifecycle -> lifecycle.onComplete(new CompletionContext<>(CompletionContext.Status.DISCARD, lbRequest, new EmptyResponse())));throw new IllegalStateException("No instances available for " + serviceId);}return execute(serviceId, serviceInstance, lbRequest);}@Overridepublic <T> T execute(String serviceId, ServiceInstance serviceInstance, LoadBalancerRequest<T> request)throws IOException {DefaultResponse defaultResponse = new DefaultResponse(serviceInstance);Set<LoadBalancerLifecycle> supportedLifecycleProcessors = getSupportedLifecycleProcessors(serviceId);Request lbRequest = request instanceof Request ? (Request) request : new DefaultRequest<>();supportedLifecycleProcessors.forEach(lifecycle -> lifecycle.onStartRequest(lbRequest, new DefaultResponse(serviceInstance)));try {T response = request.apply(serviceInstance);Object clientResponse = getClientResponse(response);supportedLifecycleProcessors.forEach(lifecycle -> lifecycle.onComplete(new CompletionContext<>(CompletionContext.Status.SUCCESS,lbRequest, defaultResponse, clientResponse)));return response;}catch (IOException iOException) {supportedLifecycleProcessors.forEach(lifecycle -> lifecycle.onComplete(new CompletionContext<>(CompletionContext.Status.FAILED, iOException, lbRequest, defaultResponse)));throw iOException;}catch (Exception exception) {supportedLifecycleProcessors.forEach(lifecycle -> lifecycle.onComplete(new CompletionContext<>(CompletionContext.Status.FAILED, exception, lbRequest, defaultResponse)));ReflectionUtils.rethrowRuntimeException(exception);}return null;}private <T> Object getClientResponse(T response) {ClientHttpResponse clientHttpResponse = null;if (response instanceof ClientHttpResponse) {clientHttpResponse = (ClientHttpResponse) response;}if (clientHttpResponse != null) {try {return new ResponseData(clientHttpResponse, null);}catch (IOException ignored) {}}return response;}private Set<LoadBalancerLifecycle> getSupportedLifecycleProcessors(String serviceId) {return LoadBalancerLifecycleValidator.getSupportedLifecycleProcessors(loadBalancerClientFactory.getInstances(serviceId, LoadBalancerLifecycle.class),DefaultRequestContext.class, Object.class, ServiceInstance.class);}@Overridepublic URI reconstructURI(ServiceInstance serviceInstance, URI original) {return LoadBalancerUriTools.reconstructURI(serviceInstance, original);}@Overridepublic ServiceInstance choose(String serviceId) {return choose(serviceId, REQUEST);}// 通过不同的负载均衡客户端实现选择不同的服务@Overridepublic <T> ServiceInstance choose(String serviceId, Request<T> request) {ReactiveLoadBalancer<ServiceInstance> loadBalancer = loadBalancerClientFactory.getInstance(serviceId);if (loadBalancer == null) {return null;}Response<ServiceInstance> loadBalancerResponse = Mono.from(loadBalancer.choose(request)).block();if (loadBalancerResponse == null) {return null;}return loadBalancerResponse.getServer();}private String getHint(String serviceId) {LoadBalancerProperties properties = loadBalancerClientFactory.getProperties(serviceId);String defaultHint = properties.getHint().getOrDefault("default", "default");String hintPropertyValue = properties.getHint().get(serviceId);return hintPropertyValue != null ? hintPropertyValue : defaultHint;}}
LoadBalancerClientFactory
BlockingLoadBalancerClient中持有LoadBalancerClientFactory通过调用其getInstance方法获取具体的负载均衡客户端。通过工厂类LoadBalancerClientFactory获取具体的负载均衡器实例，后面的loadBalancer.choose(request)调用其接口choose()方法实现根据负载均衡算法选择下一个服务器完成负载均衡，而ReactiveLoadBalancer getInstance(String serviceId) 有默认实现LoadBalancerClientFactory
LoadBalancerClientFactory客户端实现了不同的负载均衡算法，比如轮询、随机等。LoadBalancerClientFactory继承自NamedContextFactory，NamedContextFactory继承ApplicationContextAware，实现Spring ApplicationContext容器操作。
ReactiveLoadBalancer
ReactiveLoadBalancer负载均衡器实现服务选择，Spring Cloud Balancer中实现了轮询RoundRobinLoadBalancer、随机RandomLoadBalancer、NacosLoadBalancer算法。
LoadBalancerClientConfiguration
如果没有显式指定负载均衡算法，默认缺省值为RoundRobinLoadBalancer
@Bean@ConditionalOnMissingBeanpublic ReactorLoadBalancer<ServiceInstance> reactorServiceInstanceLoadBalancer(Environment environment,LoadBalancerClientFactory loadBalancerClientFactory) {String name = environment.getProperty(LoadBalancerClientFactory.PROPERTY_NAME);return new RoundRobinLoadBalancer(loadBalancerClientFactory.getLazyProvider(name, ServiceInstanceListSupplier.class), name);}
LoadBalancerRequestFactory
LoadBalancerRequest工厂类调用createRequest方法用于创建LoadBalancerRequest。其内部持有LoadBalancerClient对象也即持有BlockingLoadBalancerClient。
在日常项目中，一般负载均衡都是结合Feign使用，后续我们有时间再来分析Feign整合LoadBalancer的自动配置类FeignLoadBalancerAutoConfiguration的实现
ReactorLoadBalancerClientAutoConfiguration
我们也抛一下基于WebClient的@Loadbalanced的流程的引入，首先声明负载均衡过滤器ReactorLoadBalancerClientAutoConfiguration是一个自动装配器类，在项目中引入了 WebClient 和 ReactiveLoadBalancer 类之后，自动装配流程就开始运行，它会初始化一个实现了 ExchangeFilterFunction 的实例，在后面该实例将作为过滤器被注入到WebClient。后续流程有兴趣再自行研究
自定义负载均衡器
从上面可以知道LoadBalancerClientFactory是创建客户机、负载均衡器和客户机配置实例的工厂。它根据客户端名称创建一个Spring ApplicationContext，并从中提取所需的bean。因此进入到LoadBalancerClientFactory类中，需要去实现它的子接口ReactorServiceInstanceLoadBalancer，因为去获取负载均衡器实例的时候，是通过去容器中查找ReactorServiceInstanceLoadBalancer类型的bean来实现的，可以参照RandomLoadBalancer实现代码
package org.springframework.cloud.loadbalancer.core;import java.util.List;
import java.util.concurrent.ThreadLocalRandom;import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import reactor.core.publisher.Mono;import org.springframework.beans.factory.ObjectProvider;
import org.springframework.cloud.client.ServiceInstance;
import org.springframework.cloud.client.loadbalancer.DefaultResponse;
import org.springframework.cloud.client.loadbalancer.EmptyResponse;
import org.springframework.cloud.client.loadbalancer.Request;
import org.springframework.cloud.client.loadbalancer.Response;public class RandomLoadBalancer implements ReactorServiceInstanceLoadBalancer {private static final Log log = LogFactory.getLog(RandomLoadBalancer.class);private final String serviceId;private ObjectProvider<ServiceInstanceListSupplier> serviceInstanceListSupplierProvider;/*** @param serviceInstanceListSupplierProvider a provider of* {@link ServiceInstanceListSupplier} that will be used to get available instances* @param serviceId id of the service for which to choose an instance*/public RandomLoadBalancer(ObjectProvider<ServiceInstanceListSupplier> serviceInstanceListSupplierProvider,String serviceId) {this.serviceId = serviceId;this.serviceInstanceListSupplierProvider = serviceInstanceListSupplierProvider;}@SuppressWarnings("rawtypes")@Overridepublic Mono<Response<ServiceInstance>> choose(Request request) {ServiceInstanceListSupplier supplier = serviceInstanceListSupplierProvider.getIfAvailable(NoopServiceInstanceListSupplier::new);return supplier.get(request).next().map(serviceInstances -> processInstanceResponse(supplier, serviceInstances));}private Response<ServiceInstance> processInstanceResponse(ServiceInstanceListSupplier supplier,List<ServiceInstance> serviceInstances) {Response<ServiceInstance> serviceInstanceResponse = getInstanceResponse(serviceInstances);if (supplier instanceof SelectedInstanceCallback && serviceInstanceResponse.hasServer()) {((SelectedInstanceCallback) supplier).selectedServiceInstance(serviceInstanceResponse.getServer());}return serviceInstanceResponse;}private Response<ServiceInstance> getInstanceResponse(List<ServiceInstance> instances) {if (instances.isEmpty()) {if (log.isWarnEnabled()) {log.warn("No servers available for service: " + serviceId);}return new EmptyResponse();}int index = ThreadLocalRandom.current().nextInt(instances.size());ServiceInstance instance = instances.get(index);return new DefaultResponse(instance);}}
保留核心实现进行简单仿写如下
package cn.itxs.ecom.order.config;import java.util.List;
import java.util.Random;
import org.springframework.beans.factory.ObjectProvider;
import org.springframework.cloud.client.ServiceInstance;
import org.springframework.cloud.loadbalancer.core.ReactorServiceInstanceLoadBalancer;
import org.springframework.cloud.loadbalancer.core.ServiceInstanceListSupplier;
import org.springframework.cloud.client.loadbalancer.DefaultResponse;
import org.springframework.cloud.client.loadbalancer.EmptyResponse;
import org.springframework.cloud.client.loadbalancer.Request;
import org.springframework.cloud.client.loadbalancer.Response;
import reactor.core.publisher.Mono;public class ItxsRandomLoadBalancerClient implements ReactorServiceInstanceLoadBalancer {// 服务列表private ObjectProvider<ServiceInstanceListSupplier> serviceInstanceListSupplierProvider;public ItxsRandomLoadBalancerClient(ObjectProvider<ServiceInstanceListSupplier> serviceInstanceListSupplierProvider) {this.serviceInstanceListSupplierProvider = serviceInstanceListSupplierProvider;}@Overridepublic Mono<Response<ServiceInstance>> choose(Request request) {ServiceInstanceListSupplier supplier = serviceInstanceListSupplierProvider.getIfAvailable();return supplier.get().next().map(this::getInstanceResponse);}/*** 使用随机数获取服务* @param instances* @return*/private Response<ServiceInstance> getInstanceResponse(List<ServiceInstance> instances) {System.out.println("ItxsRandomLoadBalancerClient start");if (instances.isEmpty()) {return new EmptyResponse();}System.out.println("ItxsRandomLoadBalancerClient random");// 随机算法int size = instances.size();Random random = new Random();ServiceInstance instance = instances.get(random.nextInt(size));return new DefaultResponse(instance);}
}
将上面CustomLoadBalancerConfiguration替换为如下内容
package cn.itxs.ecom.order.config;import org.springframework.beans.factory.ObjectProvider;
import org.springframework.cloud.loadbalancer.core.ReactorServiceInstanceLoadBalancer;
import org.springframework.cloud.loadbalancer.core.ServiceInstanceListSupplier;
import org.springframework.context.annotation.Bean;public class CustomLoadBalancerConfiguration {@Beanpublic ReactorServiceInstanceLoadBalancer customLoadBalancer(ObjectProvider<ServiceInstanceListSupplier> serviceInstanceListSupplierProvider) {return new ItxsRandomLoadBalancerClient(serviceInstanceListSupplierProvider);}
}
启动库存微服务和订单微服务，访问http://localhost:4070/deductRest/1001/1 ，控制台已打印自定义ItxsRandomLoadBalancerClient中的日志和成功访问结果
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