springcloud gateway限流使用

首先看pom的内容

   4.0.0
   
      org.springframework.boot
      spring-boot-starter-parent
      2.1.8.RELEASE
       
   
   com.eem
   getway
   0.0.1-SNAPSHOT
   getway
   Demo project for Spring Boot

   
      1.8
      Greenwich.SR3
   

   
      
         org.springframework.cloud
         spring-cloud-starter-gateway
      
      
         org.springframework.cloud
         spring-cloud-starter-netflix-eureka-client
      
      
      
         org.springframework.boot
         spring-boot-starter-actuator
      
      
         org.springframework.boot
         spring-boot-starter-webflux
      

      
         org.springframework.boot
         spring-boot-starter-test
         test
      

      
         org.springframework.boot
         spring-boot-starter-data-redis
      
      
         com.github.vladimir-bukhtoyarov
         bucket4j-core
         4.0.0
      
      
         org.springframework.boot
         spring-boot-starter-data-redis-reactive
      
      
         redis.clients
         jedis
      
   
   
      
         
            org.springframework.cloud
            spring-cloud-dependencies
            ${spring-cloud.version}
            pom
            import
         
      
   
   
      
         
            org.springframework.boot
            spring-boot-maven-plugin
         
      
   

这里的springboot的版本是2.1.8 
springcloud的版本是 Greenwich.SR3

第一种实现方式如下: 需要用redis,根据自己情况安装即可

启动类和以前的一样没有啥就不写了.

配置类如下:

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

@Configuration
public class RemoteKeyResolver {

    @Bean(name="remoteAddrKeyResolver")
    public RemoteAddrKeyResolver remoteAddrKeyResolver() {
        return new RemoteAddrKeyResolver();
    }

}

引用类如下

import org.springframework.cloud.gateway.filter.ratelimit.KeyResolver;
import org.springframework.web.server.ServerWebExchange;
import reactor.core.publisher.Mono;


public class RemoteAddrKeyResolver implements  KeyResolver{
    public static final String BEAN_NAME = "remoteAddrKeyResolver";

    @Override
    public Mono resolve(ServerWebExchange exchange) {
        System.out.println("hello");
        Mono just = Mono.just(exchange.getRequest().getRemoteAddress().getAddress().getHostAddress());
        return just;
    }

}

配置文件如下:

server:
  port: 9701
eureka:
  client:
        registerWithEureka: true
        fetchRegistry: true
        serviceUrl:
           defaultZone: http://localhost:9601/eureka/
spring:
  redis:
      host: localhost
      port: 6379
      database: 0
      lettuce:
        pool:
          #连接池最大连接数（使用负值表示没有限制）
           max-active: 300
                  #连接池最大阻塞等待时间（使用负值表示没有限制）
           max-wait: -1s
                  #连接池中的最大空闲连接
           max-idle: 100
                  #连接池中的最小空闲连接
           min-idle: 20
  application:
    name: getway
  cloud:
    gateway:
      routes:
        - id: getway
          #uri: lb://hello  # 这个也可以  lb://为固定写法，表示开启负载均衡；hello即服务在注册的名字
          uri: http://localhost:9606
          predicates:
            - Path=/hello/**
          filters:
              - StripPrefix=1  # 这个必须要有,否则就是不能显示
              - name: RequestRateLimiter
                args:
                    # 令牌桶每秒填充平均速率,即行等价于允许用户每秒处理多少个请求平均数
                    redis-rate-limiter.replenishRate: 1
                    # 令牌桶的容量，允许在一秒钟内完成的最大请求数
                    redis-rate-limiter.burstCapacity: 6
                    # 用于限流的键的解析器的 Bean 对象的名字。它使用 SpEL 表达式根据#{@beanName}从 Spring 容器中获取 Bean 对象。
                    key-resolver: "#{@remoteAddrKeyResolver}"

然后在别的项目,比如服务注册,服务提供就不写了,然后在浏览器输入http://localhost:9701/hello/get1就可以显示正确内容.

第二种实现方式如下,这里使用配置类实现,配置类如下

import io.github.bucket4j.Bandwidth;
import io.github.bucket4j.Bucket;
import io.github.bucket4j.Bucket4j;
import io.github.bucket4j.Refill;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.cloud.gateway.filter.GatewayFilter;
import org.springframework.cloud.gateway.filter.GatewayFilterChain;
import org.springframework.core.Ordered;
import org.springframework.http.HttpStatus;
import org.springframework.web.server.ServerWebExchange;
import reactor.core.publisher.Mono;

import java.time.Duration;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

public class LimitFilter implements GatewayFilter, Ordered {
    private final Logger logger = LoggerFactory.getLogger(LimitFilter.class);

    int capacity;
    int refillTokens;
    Duration refillDuration;

    public LimitFilter(int capacity, int refillTokens, Duration refillDuration) {
        this.capacity = capacity;
        this.refillTokens = refillTokens;
        this.refillDuration = refillDuration;
    }

    private static final Map CACHE = new ConcurrentHashMap<>();
    private Bucket createNewBucket() {
        Refill refill = Refill.of(refillTokens,refillDuration);
        Bandwidth limit = Bandwidth.classic(capacity,refill);
        return Bucket4j.builder().addLimit(limit).build();
    }

    @Override
    public Mono filter(ServerWebExchange exchange, GatewayFilterChain chain) {
        String ip = exchange.getRequest().getRemoteAddress().getAddress().getHostAddress();
        Bucket bucket = CACHE.computeIfAbsent(ip,k -> createNewBucket());
        logger.info("IP: " + ip + "，TokenBucket Available Tokens: " + bucket.getAvailableTokens());
        if (bucket.tryConsume(1)) {
            return chain.filter(exchange);
        } else {
            exchange.getResponse().setStatusCode(HttpStatus.TOO_MANY_REQUESTS);
            return exchange.getResponse().setComplete();
        }
    }

    @Override
    public int getOrder() {
        return 0;
    }
}

启动类:

import com.eem.getway.config.LimitFilter;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.gateway.route.RouteLocator;
import org.springframework.cloud.gateway.route.builder.RouteLocatorBuilder;
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;
import org.springframework.context.annotation.Bean;

import java.time.Duration;

@SpringBootApplication
@EnableEurekaClient
public class GetwayApplication {

   public static void main(String[] args) {
      SpringApplication.run(GetwayApplication.class, args);
   }

@Bean
public RouteLocator customRouteLocator(RouteLocatorBuilder builder) {
   return builder.routes()
         //增加一个path匹配，以"/gateway/hello/"开头的请求都在此路由
         .route(r -> r.path("/hello/**")
               //表示将路径中的第一级参数删除，用剩下的路径与provider的路径做拼接，
               //这里就是"lb://provider/hello/"，能匹配到provider的HelloController的路径
               .filters(f -> f.stripPrefix(1)
                     //.filter(new LimitFilter(10,1, Duration.ofSeconds(1))) //限流设置
                     //在请求的header中添加一个key&value
                     .addRequestHeader("extendtag", "geteway-" + System.currentTimeMillis()))
               //指定匹配服务provider，lb是load balance的意思
               .uri("lb://hello")
         ).build();
}

}

配置文件如下:

server:
  port: 9701
eureka:
  client:
        registerWithEureka: true
        fetchRegistry: true
        serviceUrl:
           defaultZone: http://localhost:9601/eureka/,http://localhost:9602/eureka/
spring:
  redis:
      host: localhost
      port: 6379
      database: 0
      lettuce:
        pool:
          #连接池最大连接数（使用负值表示没有限制）
           max-active: 300
                  #连接池最大阻塞等待时间（使用负值表示没有限制）
           max-wait: -1s
                  #连接池中的最大空闲连接
           max-idle: 100
                  #连接池中的最小空闲连接
           min-idle: 20
  application:
    name: getway

也可以实现限流功能.

稍后,我讲会把所有代码上传.