Spring Cloud常用负载均衡组件遵循的设计原则
- 可靠性原则:确保在部分服务实例出现故障时,仍能正常将请求分发到可用实例,保证系统整体可用性。例如,通过重试机制,当请求某个实例失败时,尝试其他实例。
- 性能原则:尽量减少请求分发的延迟,提高系统处理能力。比如采用高效的算法来选择实例,减少计算开销。
- 扩展性原则:随着服务实例数量的增加,负载均衡组件应能平滑扩展,不影响整体性能。例如支持动态添加或删除实例。
- 透明性原则:对服务调用方透明,调用方无需关心具体的负载均衡实现细节,只需要像调用本地服务一样发起请求。
根据服务实例响应时间动态调整负载均衡策略的实现
Ribbon
- 自定义负载均衡规则:
- 继承
AbstractLoadBalancerRule
类,重写 choose
方法。在 choose
方法中,获取所有实例列表,记录每个实例的响应时间。根据响应时间对实例进行排序,优先选择响应时间短的实例。
public class ResponseTimeRule extends AbstractLoadBalancerRule {
@Override
public Server choose(Object key) {
ILoadBalancer loadBalancer = getLoadBalancer();
List<Server> servers = loadBalancer.getAllServers();
// 这里简单模拟获取每个实例的响应时间
Map<Server, Long> responseTimes = new HashMap<>();
for (Server server : servers) {
// 假设通过某个方法获取响应时间
long responseTime = getResponseTime(server);
responseTimes.put(server, responseTime);
}
Server bestServer = null;
long minResponseTime = Long.MAX_VALUE;
for (Map.Entry<Server, Long> entry : responseTimes.entrySet()) {
if (entry.getValue() < minResponseTime) {
minResponseTime = entry.getValue();
bestServer = entry.getKey();
}
}
return bestServer;
}
}
- 配置使用自定义规则:在
application.yml
中配置使用自定义的负载均衡规则。
service-name:
ribbon:
NFLoadBalancerRuleClassName: com.example.ResponseTimeRule
Spring Cloud LoadBalancer
- 自定义负载均衡器:
- 实现
ReactorServiceInstanceLoadBalancer
接口,在 choose
方法中实现根据响应时间选择实例的逻辑。
import org.springframework.cloud.client.ServiceInstance;
import org.springframework.cloud.loadbalancer.core.NoopServiceInstanceListSupplier;
import org.springframework.cloud.loadbalancer.core.ReactorServiceInstanceLoadBalancer;
import org.springframework.cloud.loadbalancer.core.ServiceInstanceListSupplier;
import reactor.core.publisher.Mono;
import java.util.List;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
public class ResponseTimeLoadBalancer implements ReactorServiceInstanceLoadBalancer {
private final ServiceInstanceListSupplier serviceInstanceListSupplier;
private final Map<ServiceInstance, Long> responseTimes = new ConcurrentHashMap<>();
public ResponseTimeLoadBalancer(ServiceInstanceListSupplier serviceInstanceListSupplier) {
this.serviceInstanceListSupplier = serviceInstanceListSupplier;
}
@Override
public Mono<Response<ServiceInstance>> choose(Request request) {
return Mono.fromSupplier(() -> serviceInstanceListSupplier.get()).map(serviceInstances -> {
if (serviceInstances.isEmpty()) {
return new DefaultResponse(null);
}
// 模拟获取响应时间
for (ServiceInstance instance : serviceInstances) {
long responseTime = getResponseTime(instance);
responseTimes.put(instance, responseTime);
}
ServiceInstance bestInstance = null;
long minResponseTime = Long.MAX_VALUE;
for (Map.Entry<ServiceInstance, Long> entry : responseTimes.entrySet()) {
if (entry.getValue() < minResponseTime) {
minResponseTime = entry.getValue();
bestInstance = entry.getKey();
}
}
return new DefaultResponse(bestInstance);
});
}
private long getResponseTime(ServiceInstance instance) {
// 实际应通过监控等手段获取响应时间
return System.currentTimeMillis();
}
}
- 配置使用自定义负载均衡器:
- 创建配置类,将自定义负载均衡器注册到Spring容器中。
import org.springframework.cloud.client.ServiceInstance;
import org.springframework.cloud.loadbalancer.annotation.LoadBalancerClient;
import org.springframework.cloud.loadbalancer.core.ReactorServiceInstanceLoadBalancer;
import org.springframework.cloud.loadbalancer.core.ServiceInstanceListSupplier;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
@LoadBalancerClient(name = "service-name", configuration = ResponseTimeLoadBalancerConfig.class)
public class ResponseTimeLoadBalancerConfig {
@Bean
public ReactorServiceInstanceLoadBalancer responseTimeLoadBalancer(ServiceInstanceListSupplier serviceInstanceListSupplier) {
return new ResponseTimeLoadBalancer(serviceInstanceListSupplier);
}
}