利用Spring Boot实现微服务的API网关统一限流与熔断
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微服务中的限流与熔断
在微服务架构中,服务的稳定性和可靠性至关重要。限流用于控制服务的访问频率,防止过载;熔断则在服务出现异常时介入,防止故障蔓延。
Spring Cloud Gateway与限流熔断
Spring Cloud Gateway是一个基于Spring Boot 2.x和Spring WebFlux的API网关,它集成了限流和熔断的功能,可以统一管理微服务的流量。
1. 添加Spring Cloud Gateway依赖
在项目的pom.xml
文件中添加Spring Cloud Gateway的依赖:
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-gateway</artifactId>
</dependency>
2. 配置路由规则
在application.yml
中配置路由规则,并启用限流:
spring:
cloud:
gateway:
routes:
- id: user_service
uri: lb://USER-SERVICE
predicates:
- Path=/users/**
filters:
- name: RequestRateLimiter
args:
key-resolver: "#{@userKeyResolver}"
rate-limiter: "#{@userRateLimiter}"
3. 实现Key Resolver
创建一个KeyResolver
来定义限流的key:
package cn.juwatech.gateway;
import org.springframework.cloud.gateway.filter.ratelimit.KeyResolver;
import org.springframework.stereotype.Component;
import org.springframework.web.server.ServerWebExchange;
import reactor.core.publisher.Mono;
@Component
public class UserKeyResolver implements KeyResolver {
@Override
public Mono<String> resolve(ServerWebExchange exchange) {
// 可以根据IP地址或Header等信息来定义key
return Mono.just(exchange.getRequest().getRemoteAddress().getAddress().toString());
}
}
4. 配置Rate Limiter
使用RedisRateLimiter
作为限流器:
package cn.juwatech.gateway;
import org.springframework.cloud.gateway.filter.ratelimit.RedisRateLimiter;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.data.redis.connection.RedisConnectionFactory;
@Configuration
public class RateLimiterConfig {
@Bean
public RedisRateLimiter userRateLimiter(RedisConnectionFactory connectionFactory) {
return new RedisRateLimiter(connectionFactory, redisRateLimiterConfig());
}
@Bean
public RedisRateLimiter.Config redisRateLimiterConfig() {
return new RedisRateLimiter.Config(10, 5); // 每5秒最多10个请求
}
}
集成Hystrix实现熔断
Hystrix是一个熔断器库,可以与Spring Cloud Gateway集成,为微服务提供熔断保护。
1. 添加Hystrix依赖
在pom.xml
中添加Hystrix的依赖:
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-hystrix</artifactId>
</dependency>
2. 配置Hystrix
在application.yml
中配置Hystrix:
hystrix:
command:
default:
execution:
timeout:
enabled: true
isolation:
thread:
timeoutInMilliseconds: 10000
3. 使用Hystrix注解
在服务调用的方法上使用@HystrixCommand
注解:
package cn.juwatech.service;
import com.netflix.hystrix.HystrixCommand;
import com.netflix.hystrix.HystrixCommandGroupKey;
public class UserService extends HystrixCommand<String> {
private final String userId;
public UserService(String userId) {
super(Setter.withGroupKey(HystrixCommandGroupKey.Factory.asKey("UserService")));
this.userId = userId;
}
@Override
protected String run() throws Exception {
// 调用用户服务
return "User " + userId;
}
@Override
protected String getFallback() {
// 熔断时的备选方案
return "User " + userId + " is not available";
}
}
结合Spring Cloud Gateway使用
将Hystrix与Spring Cloud Gateway结合使用,实现API网关的统一熔断。
1. 配置Gateway集成Hystrix
在路由配置中使用Hystrix:
package cn.juwatech.gateway;
import org.springframework.cloud.gateway.route.RouteLocator;
import org.springframework.cloud.gateway.route.builder.RouteLocatorBuilder;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class GatewayConfig {
@Bean
public RouteLocator customRouteLocator(RouteLocatorBuilder builder) {
return builder.routes()
.route("user_service_route", r -> r.path("/users/**")
.uri("lb://USER-SERVICE")
.filters(f -> f.hystrix().setName("UserService")
.setFallbackUri("forward:/fallback"))
.hystrix().configuration(c -> c.setRequestVolumeThreshold(10)))
.build();
}
}
2. 实现熔断回退方法
在Controller中实现熔断回退方法:
package cn.juwatech.controller;
import org.springframework.stereotype.Controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.reactive.result.view.Rendering;
@Controller
public class FallbackController {
@GetMapping("/fallback")
public Rendering fallback() {
return Rendering.view("fallback").modelName("Service is temporarily unavailable");
}
}
结论
通过Spring Cloud Gateway和Hystrix,我们可以为微服务架构中的API网关实现统一的限流和熔断机制。这有助于提高系统的稳定性和可靠性,防止因服务过载或故障导致的系统崩溃。
本文著作权归聚娃科技微赚淘客系统开发者团队,转载请注明出处!
标签:网关,Spring,springframework,熔断,限流,import,org From: https://www.cnblogs.com/szk123456/p/18378369