springcloud gateway网关获取post请求参数，网关路由，网关限流，熔断降级等实际操作

╰+攻爆jí腚メ 2022-02-17 02:40 1732阅读 0赞

上一篇使用了springcloud 一代网关 zullfilter 的拦截和路由，这一篇将使用springcloud新一代网关 gateway 来进行参数拦截，路由，限流，熔断等操作。

首先我们看下pom.xml ，不同版本，可能会有不同的坑，操作基于以下版本

<?xml version="1.0" encoding="UTF-8"?>
    <project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    	xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    	<modelVersion>4.0.0</modelVersion>
    	<parent>
    		<groupId>org.springframework.boot</groupId>
    		<artifactId>spring-boot-starter-parent</artifactId>
    		<version>2.0.4.RELEASE</version>
    		<relativePath/> 
    	</parent>
    	<groupId>com.hqk</groupId>
    	<artifactId>gtwayservice</artifactId>
    	<version>0.0.1-SNAPSHOT</version>
    	<name>gtwayservice</name>
    	<description>Demo project for Spring Boot</description>
    
    	<properties>
    		<java.version>1.8</java.version>
    		<spring-cloud.version>Finchley.SR2</spring-cloud.version>
    	</properties>
    
    	<dependencies>
    		
    		<dependency>
    			<groupId>org.springframework.cloud</groupId>
    			<artifactId>spring-cloud-starter-netflix-hystrix</artifactId>
    		</dependency>
    
    		
    		<dependency>
    			<groupId>org.springframework.boot</groupId>
    			<artifactId>spring-boot-starter-data-redis-reactive</artifactId>
    		</dependency>
    
    		<dependency>
    			<groupId>org.springframework.cloud</groupId>
    			<artifactId>spring-cloud-starter-gateway</artifactId>
    		</dependency>
    
    		<dependency>
    			<groupId>org.springframework.boot</groupId>
    			<artifactId>spring-boot-starter-test</artifactId>
    			<scope>test</scope>
    		</dependency>
    	</dependencies>
    
    	<dependencyManagement>
    		<dependencies>
    			<dependency>
    				<groupId>org.springframework.cloud</groupId>
    				<artifactId>spring-cloud-dependencies</artifactId>
    				<version>${spring-cloud.version}</version>
    				<type>pom</type>
    				<scope>import</scope>
    			</dependency>
    		</dependencies>
    	</dependencyManagement>
    
    	<build>
    		<plugins>
    			<plugin>
    				<groupId>org.springframework.boot</groupId>
    				<artifactId>spring-boot-maven-plugin</artifactId>
    			</plugin>
    		</plugins>
    	</build>
    
    </project>

首先我们进行网关拦截，验证token session 等操作，如下图代码,

package com.hqk.gtwayservice.filter;
    
    import io.netty.buffer.ByteBufAllocator;
    import org.springframework.cloud.gateway.filter.GatewayFilterChain;
    import org.springframework.cloud.gateway.filter.GlobalFilter;
    import org.springframework.core.Ordered;
    import org.springframework.core.io.buffer.DataBuffer;
    import org.springframework.core.io.buffer.DataBufferUtils;
    import org.springframework.core.io.buffer.NettyDataBufferFactory;
    import org.springframework.http.server.reactive.ServerHttpRequest;
    import org.springframework.http.server.reactive.ServerHttpRequestDecorator;
    import org.springframework.stereotype.Component;
    import org.springframework.web.server.ServerWebExchange;
    import reactor.core.publisher.Flux;
    import reactor.core.publisher.Mono;
    
    import java.net.URI;
    import java.nio.CharBuffer;
    import java.nio.charset.StandardCharsets;
    import java.util.Map;
    import java.util.concurrent.atomic.AtomicReference;
    
    @Component
    public class TokenFilter implements GlobalFilter, Ordered {
        @Override
        public Mono<Void> filter(ServerWebExchange exchange, GatewayFilterChain chain) {
    
            ServerHttpRequest serverHttpRequest = exchange.getRequest();
            String method = serverHttpRequest.getMethodValue();
            if ("POST".equals(method)) {
                //从请求里获取Post请求体
                String bodyStr = resolveBodyFromRequest(serverHttpRequest);
                System.out.println("bodyStr:"+bodyStr);
                //TODO 这里对你获取的参数进行操作，比如 token session 的验证
                
                //下面的将请求体再次封装写回到request里，传到下一级，否则，由于请求体已被消费，后续的服务将取不到值
                URI uri = serverHttpRequest.getURI();
                ServerHttpRequest request = serverHttpRequest.mutate().uri(uri).build();
                DataBuffer bodyDataBuffer = stringBuffer(bodyStr);
                Flux<DataBuffer> bodyFlux = Flux.just(bodyDataBuffer);
                request = new ServerHttpRequestDecorator(request) {
                    @Override
                    public Flux<DataBuffer> getBody() {
                        return bodyFlux;
                    }
                };
                //封装request，传给下一级
                return chain.filter(exchange.mutate().request(request).build());
    
            } else if ("GET".equals(method)) {
                Map requestQueryParams = serverHttpRequest.getQueryParams();
                //TODO 得到Get请求的请求参数后，做你想做的事
    
                return chain.filter(exchange);
            }
    
            return chain.filter(exchange);
        }
    
        /**
         * 从Flux<DataBuffer>中获取字符串的方法
         */
        private String resolveBodyFromRequest(ServerHttpRequest serverHttpRequest) {
            Flux<DataBuffer> body = serverHttpRequest.getBody();
            AtomicReference<String> bodyRef = new AtomicReference<>();
            body.subscribe(buffer -> {
                CharBuffer charBuffer = StandardCharsets.UTF_8.decode(buffer.asByteBuffer());
                DataBufferUtils.release(buffer);
                bodyRef.set(charBuffer.toString());
            });
            return bodyRef.get();
        }
    
        private DataBuffer stringBuffer(String value) {
            byte[] bytes = value.getBytes(StandardCharsets.UTF_8);
    
            NettyDataBufferFactory nettyDataBufferFactory = new NettyDataBufferFactory(ByteBufAllocator.DEFAULT);
            DataBuffer buffer = nettyDataBufferFactory.allocateBuffer(bytes.length);
            buffer.write(bytes);
            return buffer;
        }
    
        @Override
        public int getOrder() {
            return 0;
        }
    }

然后我们postman进行测试，如下图所示

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这里我们完成第一步的参数拦截

接下来我们将对请求进行路由转发，这里没有注册到注册中心，直接转发服务，直接看yml配置

server:
      port: 9999
    
    spring:
      cloud:
        gateway:
          routes:
          - id: limit_route
            uri: http://127.0.0.1:8801  #  已负载均衡方式转发
            predicates:
            - Path=/**/** #只漏油转发

这里只改变IP进行转发，不会改变请求地址，如需改变请求地址，则改变 Path 路径，[可参考][Link 1]

如果项目存在高并发场景，我们可以对请求地址 或 IP 等进行限流，限流配合redis进行使用，首先加入redis配置

redis:
        host: localhost
        port: 6379
        database: 0

然后新建一个类

package com.hqk.gtwayservice.resolver;
    
    import org.springframework.cloud.gateway.filter.ratelimit.KeyResolver;
    import org.springframework.context.annotation.Bean;
    import org.springframework.stereotype.Component;
    import org.springframework.web.server.ServerWebExchange;
    import reactor.core.publisher.Mono;
    
    import java.net.InetAddress;
    
    @Component
    public class IpResolver  implements KeyResolver{
    
    
        @Override
        public Mono<String> resolve(ServerWebExchange exchange) {
    
            String ip=exchange.getRequest().getRemoteAddress().getAddress().getHostAddress();
    
            // exchange.getRequest().getURI().toString()  //获取请求地址
            //可以对 ip 地址 等进行过滤
            
            System.out.println("ip:"+ip);
    
            return Mono.just(ip);
        }
    }

然后在yml中配置，这样就可以根据 ip 进行限流

spring:
      cloud:
        gateway:
          routes:
          - id: limit_route
            uri: http://47.102.192.50:8081 # http://47.102.192.50:8081  #  lb://consumer-service lb 代表从注册中心获取服务，且已负载均衡方式转发
            predicates:
            - Path=/**/** #只漏油转发
            filters:
            - name: RequestRateLimiter #名称必须是RequestRateLimiter
              args:
                key-resolver: "#{@ipResolver}"  #使用SpEL按名称引用bean
                redis-rate-limiter.replenishRate: 2 #允许用户每秒处理多少个请求
                redis-rate-limiter.burstCapacity: 3 #令牌桶的容量，允许在一秒钟内完成的最大请求数

*  filter 名称必须是 RequestRateLimiter
 *  redis-rate-limiter.replenishRate：允许用户每秒处理多少个请求
 *  redis-rate-limiter.burstCapacity：令牌桶的容量，允许在一秒钟内完成的最大请求数
 *  key-resolver：使用 SpEL 按名称引用 bean

在流量过大时进行服务降级，避免请求长时间的等待，这个是在网关层进行熔断降级，不是在服务层进行熔断降级，服务层也可进行熔断降级，接下来会写，我们先看网关层的熔断降级，先写一个降级的类，返回消息

package com.hqk.gtwayservice.controller;
    
    import org.springframework.web.bind.annotation.RequestMapping;
    import org.springframework.web.bind.annotation.RestController;
    
    import java.util.HashMap;
    import java.util.Map;
    
    @RestController
    public class DefaultHystrixController {
    
        @RequestMapping("/defaultfallback")
        public Map<String,String> defaultfallback(){
            //System.out.println("降级操作...");
            Map<String,String> map = new HashMap<>();
            map.put("resultCode","false");
            map.put("resultMessage","服务异常");
            map.put("resultObj","这里测试网关服务熔断");
            return map;
        }
    
    }

看下整个yml的配置

server:
      port: 9999
    
    spring:
      cloud:
        gateway:
          routes:
          - id: limit_route
            uri: http://47.102.192.50:8081 # http://47.102.192.50:8081  #  lb://consumer-service lb 代表从注册中心获取服务，且已负载均衡方式转发
            predicates:
            - Path=/**/** #只漏油转发
            filters:
            - StripPrefix=1 #表示路由时会去除一位 如 api/app/login app/login
            - name: RequestRateLimiter #名称必须是RequestRateLimiter
              args:
                key-resolver: "#{@ipResolver}"  #使用SpEL按名称引用bean
                redis-rate-limiter.replenishRate: 2 #允许用户每秒处理多少个请求
                redis-rate-limiter.burstCapacity: 3 #令牌桶的容量，允许在一秒钟内完成的最大请求数
            - name: Hystrix 
              args:
                name: fallbackcmd
                fallbackUri: forward:/defaultfallback #这里是服务降级，调用的方法
    
      redis:
        host: localhost
        port: 6379
        database: 0  #限流redis 端口地址 这里没有设置密码
    
    
    hystrix.command.fallbackcmd.execution.isolation.thread.timeoutInMilliseconds: 3000 #超时时间 3秒

[项目码云下载地址][Link 2]

文章参考来自 [天涯泪小武][Link 3] [纯洁的微笑][Link 1]

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[Link 1]: http://www.ityouknow.com/springcloud/2019/01/26/spring-cloud-gateway-limit.html
[Link 2]: https://gitee.com/huqiankunlol/gtwayservice.git
[Link 3]: https://blog.csdn.net/tianyaleixiaowu