SpringCloud:spring-cloud-loadbalancer原理分析及实现自定义负载均衡策略
import org.springframework.cloud.client.ServiceInstance;
import org.springframework.cloud.client.loadbalancer.RequestData;
import org.springframework.cloud.loadbalancer.core.NoopServiceInstanceListSupplier;
import org.springframework.cloud.loadbalancer.core.ReactiveLoadBalancer;
import org.springframework.cloud.loadbalancer.core.SelectedInstance;
import reactor.core.publisher.Mono;
import java.util.List;
public class CustomLoadBalancer implements ReactiveLoadBalancer<ServiceInstance> {
private final ServiceInstanceListSupplier serviceInstanceListSupplier;
public CustomLoadBalancer(List<ServiceInstance> serviceInstances) {
this.serviceInstanceListSupplier = new StaticServiceInstanceListSupplier(serviceInstances);
}
@Override
public Mono<Response<ServiceInstance>> choose(RequestData requestData) {
// 实现自定义的选择逻辑,例如轮询、随机或者根据权重
return serviceInstanceListSupplier.get()
.next()
.map(serviceInstance -> new Response<>(serviceInstance));
}
@Override
public Mono<Void> execute(String serviceId, Function<ServiceInstance, Mono<Void>> callback) {
// 使用choose方法选择一个实例,然后执行callback中的逻辑
return choose(new DefaultRequestData(serviceId)).flatMap(response -> {
SelectedInstance selectedInstance = new SelectedInstance(serviceId, response.getServer());
return callback.apply(selectedInstance.getServer());
});
}
// 内部辅助类,用于提供服务实例列表
private static class StaticServiceInstanceListSupplier implements ServiceInstanceListSupplier {
private final List<ServiceInstance> serviceInstances;
public StaticServiceInstanceListSupplier(List<ServiceInstance> serviceInstances) {
this.serviceInstances = serviceInstances;
}
@Override
public Flux<List<ServiceInstance>> get() {
return Flux.just(serviceInstances);
}
@Override
public Flux<ServiceInstance> get(RequestData requestData) {
return Flux.fromIterable(serviceInstances);
}
}
}
这个代码示例展示了如何实现一个自定义的ReactiveLoadBalancer
。在choose
方法中,我们使用了一个简单的轮询策略来选择服务实例。在execute
方法中,我们使用choose
选出的实例来执行传入的回调函数。这个示例还定义了一个辅助类StaticServiceInstanceListSupplier
来提供服务实例列表。这个示例只是用于教学目的,实际应用中应该根据具体的负载均衡策略来实现choose
方法。
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