（九十二）java版spring cloud 多租户社交电子商务

电子商务平台源码请加企鹅求求：三伍三六贰四柒二伍九。限流一般有两个实现方式，令牌桶和漏桶

令牌桶是初始化令牌（容器）的个数，通过拿走里边的令牌就能通过， 没有令牌不能报错，可以设置向容器中增加令牌的速度和最大个数

漏桶是向里边放入请求，当请求数量达到最大值后，丢弃，漏桶中的数据以一定速度流出，没有则不流出

令牌桶实现方式如下：

pom

<dependency>
    <groupId>com.github.vladimir-bukhtoyarov</groupId>
    <artifactId>bucket4j-core</artifactId>
    <version>4.0.0</version>
</dependency>

创建下边类并且继承下边类

package com.gla.datacenter.filter;
 
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;
 
/**
 * @Description: 自定义过滤器进行限流
 * @Author: zzh
 * @Modified By:
 * @Date: 2018/12/3 18:07
 */
public class GatewayRateLimitFilterByIP implements GatewayFilter, Ordered {
 
    private final Logger log = LoggerFactory.getLogger(GatewayRateLimitFilterByIP.class);
 
    /**
     * 单机网关限流用一个ConcurrentHashMap来存储 bucket，
     * 如果是分布式集群限流的话，可以采用 Redis等分布式解决方案
     */
    private static final Map<String, Bucket> LOCAL_CACHE = new ConcurrentHashMap<>();
 
    /**
     * 桶的最大容量，即能装载 Token 的最大数量
     */
    int capacity;
    /**
     * 每次 Token 补充量
     */
    int refillTokens;
    /**
     *补充 Token 的时间间隔
     */
    Duration refillDuration;
 
    public GatewayRateLimitFilterByIP() {
    }
 
    /**
     *
     * @param capacity 即能装载 Token 的最大数量.
     * @param refillTokens
     * @param refillDuration
     */
    public GatewayRateLimitFilterByIP(int capacity, int refillTokens, Duration refillDuration) {
        this.capacity = capacity;
        this.refillTokens = refillTokens;
        this.refillDuration = refillDuration;
    }
 
    private Bucket createNewBucket() {
        Refill refill = Refill.of(refillTokens, refillDuration);
        Bandwidth limit = Bandwidth.classic(capacity, refill);
        return Bucket4j.builder().addLimit(limit).build();
    }
 
 
    @Override
    public Mono<Void> filter(ServerWebExchange exchange, GatewayFilterChain chain) {
        String ip = exchange.getRequest().getRemoteAddress().getAddress().getHostAddress();
        //若ip不存在则创建一个Bucket（令牌桶）
        Bucket bucket = LOCAL_CACHE.computeIfAbsent(ip, k -> createNewBucket());
        log.info("IP:{} ,令牌通可用的Token数量:{} " ,ip,bucket.getAvailableTokens());
        if (bucket.tryConsume(1)) {
            return chain.filter(exchange);
        } else {
            //当可用的令牌书为0是，进行限流返回429状态码
            log.error("IP:{} ,限制访问:{} " ,ip,bucket.getAvailableTokens());
            exchange.getResponse().setStatusCode(HttpStatus.TOO_MANY_REQUESTS);
            return exchange.getResponse().setComplete();
        }
    }
 
    @Override
    public int getOrder() {
        return -1000;
    }
 
    public static Map<String, Bucket> getLocalCache() {
        return LOCAL_CACHE;
    }
 
    public int getCapacity() {
        return capacity;
    }
 
    public void setCapacity(int capacity) {
        this.capacity = capacity;
    }
 
    public int getRefillTokens() {
        return refillTokens;
    }
 
    public void setRefillTokens(int refillTokens) {
        this.refillTokens = refillTokens;
    }
 
    public Duration getRefillDuration() {
        return refillDuration;
    }
 
    public void setRefillDuration(Duration refillDuration) {
        this.refillDuration = refillDuration;
    }
}

配置路由

@Bean
    public RouteLocator customRouteLocator(RouteLocatorBuilder builder) {
        //生成比当前时间早一个小时的UTC时间
        ZonedDateTime minusTime = LocalDateTime.now().minusHours(1).atZone(ZoneId.systemDefault());
 
        return builder.routes()
                .route(r ->r.path("/demo/**")
                        //过滤器
                        .filters(f -> f.filter(new APIGatewayFilter())
                                .filter(new GatewayRateLimitFilterByIP(10,1, Duration.ofSeconds(1))))
                        .uri("http://192.168.26.113:8001/demo").order(0).id("demo_route"))
 
                .route(r ->r.path("/test")
                                .uri("http://192.168.26.113/system/nav/login").id("jd_route")
                )
                build();
                }