限流一般有两个实现方式,令牌桶和漏桶
金牌桶是初始化令牌(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
金牌桶实现方式如下:
pom
com.github.vladimir-bukhtoyarov bucket4j-core 4.0.0 org.springframework.boot spring-boot-starter-data-redis-reactive
创建下边类并且继承下边类
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 MapCACHE = 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; } }
配置路由
@Bean public RouteLocator customerRouteLocator(RouteLocatorBuilder builder) { // @formatter:off return builder.routes() .route(r -> r.path("/consulserver/**") .filters(f -> f.stripPrefix(1) .filter(new LimitFilter(10,1,Duration.ofSeconds(1)))) .uri("lb://consulserver") .order(0) .id("throttle_customer_service") ).build(); // @formatter:on }
原文:https://blog.csdn.net/m0_37834471/article/details/82621353
redis限流原文:https://blog.csdn.net/ifrozen/article/details/80016566