@Slf4j
public class FixedWindowRateLimiter {
    // 時(shí)間窗口大小，單位毫秒
    private long windowSize;
    // 允許通過(guò)請(qǐng)求數(shù)
    private int maxRequestCount;
    // 當(dāng)前窗口通過(guò)的請(qǐng)求計(jì)數(shù)
    private AtomicInteger count=new AtomicInteger(0);
    // 窗口右邊界
    private long windowBorder;
    public FixedWindowRateLimiter(long windowSize,int maxRequestCount){
        this.windowSize = windowSize;
        this.maxRequestCount = maxRequestCount;
        windowBorder = System.currentTimeMillis()+windowSize;
    }
    public synchronized boolean tryAcquire(){
        long currentTime = System.currentTimeMillis();
        if (windowBorder < currentTime){
            log.info("window  reset");
            do {
                windowBorder += windowSize;
            }while(windowBorder < currentTime);
            count=new AtomicInteger(0);
        }
        if (count.intValue() < maxRequestCount){
            count.incrementAndGet();
            log.info("tryAcquire success");
            return true;
        }else {
            log.info("tryAcquire fail");
            return false;
        }
    }
}

void test() throws InterruptedException {
    FixedWindowRateLimiter fixedWindowRateLimiter
            = new FixedWindowRateLimiter(1000, 5);
    for (int i = 0; i < 10; i++) {
        if (fixedWindowRateLimiter.tryAcquire()) {
            System.out.println("執(zhí)行任務(wù)");
        }else{
            System.out.println("被限流");
            TimeUnit.MILLISECONDS.sleep(300);
        }
    }
}

@Slf4j
public class SlidingWindowRateLimiter {
    // 時(shí)間窗口大小，單位毫秒
    private long windowSize;
    // 分片窗口數(shù)
    private int shardNum;
    // 允許通過(guò)請(qǐng)求數(shù)
    private int maxRequestCount;
    // 各個(gè)窗口內(nèi)請(qǐng)求計(jì)數(shù)
    private int[] shardRequestCount;
    // 請(qǐng)求總數(shù)
    private int totalCount;
    // 當(dāng)前窗口下標(biāo)
    private int shardId;
    // 每個(gè)小窗口大小，毫秒
    private long tinyWindowSize;
    // 窗口右邊界
    private long windowBorder;
    public SlidingWindowRateLimiter(long windowSize, int shardNum, int maxRequestCount) {
        this.windowSize = windowSize;
        this.shardNum = shardNum;
        this.maxRequestCount = maxRequestCount;
        shardRequestCount = new int[shardNum];
        tinyWindowSize = windowSize/ shardNum;
        windowBorder=System.currentTimeMillis();
    }
    public synchronized boolean tryAcquire() {
        long currentTime = System.currentTimeMillis();
        if (currentTime > windowBorder){
            do {
                shardId = (++shardId) % shardNum;
                totalCount -= shardRequestCount[shardId];
                shardRequestCount[shardId]=0;
                windowBorder += tinyWindowSize;
            }while (windowBorder < currentTime);
        }
        if (totalCount < maxRequestCount){
            log.info("tryAcquire success,{}",shardId);
            shardRequestCount[shardId]++;
            totalCount++;
            return true;
        }else{
            log.info("tryAcquire fail,{}",shardId);
            return false;
        }
    }
}

void test() throws InterruptedException {
    SlidingWindowRateLimiter slidingWindowRateLimiter
            = new SlidingWindowRateLimiter(1000, 10, 10);
    TimeUnit.MILLISECONDS.sleep(800);
    for (int i = 0; i < 15; i++) {
        boolean acquire = slidingWindowRateLimiter.tryAcquire();
        if (acquire){
            System.out.println("執(zhí)行任務(wù)");
        }else{
            System.out.println("被限流");
        }
        TimeUnit.MILLISECONDS.sleep(10);
    }
}

@Slf4j
public class LeakyBucketRateLimiter {
    // 桶的容量
    private int capacity;
    // 桶中現(xiàn)存水量
    private AtomicInteger water=new AtomicInteger(0);
    // 開始漏水時(shí)間
    private long leakTimeStamp;
    // 水流出的速率，即每秒允許通過(guò)的請(qǐng)求數(shù)
    private int leakRate;
    public LeakyBucketRateLimiter(int capacity,int leakRate){
        this.capacity=capacity;
        this.leakRate=leakRate;
    }
    public synchronized boolean tryAcquire(){
        // 桶中沒有水，重新開始計(jì)算
        if (water.get()==0){
            log.info("start leaking");
            leakTimeStamp = System.currentTimeMillis();
            water.incrementAndGet();
            return water.get() < capacity;
        }
        // 先漏水，計(jì)算剩余水量
        long currentTime = System.currentTimeMillis();
        int leakedWater= (int) ((currentTime-leakTimeStamp)/1000 * leakRate);
        log.info("lastTime:{}, currentTime:{}. LeakedWater:{}",leakTimeStamp,currentTime,leakedWater);
        // 可能時(shí)間不足,則先不漏水
        if (leakedWater != 0){
            int leftWater = water.get() - leakedWater;
            // 可能水已漏光，設(shè)為0
            water.set(Math.max(0,leftWater));
            leakTimeStamp=System.currentTimeMillis();
        }
        log.info("剩余容量:{}",capacity-water.get());
        if (water.get() < capacity){
            log.info("tryAcquire success");
            water.incrementAndGet();
            return true;
        }else {
            log.info("tryAcquire fail");
            return false;
        }
    }
}

void test() throws InterruptedException {
    LeakyBucketRateLimiter leakyBucketRateLimiter
			=new LeakyBucketRateLimiter(3,1);
    for (int i = 0; i < 15; i++) {
        if (leakyBucketRateLimiter.tryAcquire()) {
            System.out.println("執(zhí)行任務(wù)");
        }else {
            System.out.println("被限流");
        }
        TimeUnit.MILLISECONDS.sleep(500);
    }
}

<dependency>
    <groupId>com.google.guava</groupId>
    <artifactId>guava</artifactId>
    <version>29.0-jre</version>
</dependency>

void acquireTest(){
    RateLimiter rateLimiter=RateLimiter.create(5);
    for (int i = 0; i < 10; i++) {
        double time = rateLimiter.acquire();
        log.info("等待時(shí)間：{}s",time);
    }
}

 * <p>It is important to note that the number of permits requested <i>never</i> affects the
 * throttling of the request itself (an invocation to {@code acquire(1)} and an invocation to {@code
 * acquire(1000)} will result in exactly the same throttling, if any), but it affects the throttling
 * of the <i>next</i> request. I.e., if an expensive task arrives at an idle RateLimiter, it will be
 * granted immediately, but it is the <i>next</i> request that will experience extra throttling,
 * thus paying for the cost of the expensive task.

void acquireSmoothly(){
    RateLimiter rateLimiter=RateLimiter.create(5,3, TimeUnit.SECONDS);
    long startTimeStamp = System.currentTimeMillis();
    for (int i = 0; i < 15; i++) {
        double time = rateLimiter.acquire();
        log.info("等待時(shí)間:{}s, 總時(shí)間:{}ms"
                ,time,System.currentTimeMillis()-startTimeStamp);
    }
}

void acquireSmoothly(){
    RateLimiter rateLimiter=RateLimiter.create(5,3, TimeUnit.SECONDS);
    long startTimeStamp = System.currentTimeMillis();
    for (int i = 0; i < 15; i++) {
        double time = rateLimiter.acquire();
        log.info("等待時(shí)間:{}s, 總時(shí)間:{}ms"
                ,time,System.currentTimeMillis()-startTimeStamp);
    }
}

@Service
public class QueryService {
    public static final String KEY="query";
    @SentinelResource(value = KEY,
            blockHandler ="blockHandlerMethod")
    public String query(String name){
        return "begin query,name="+name;
    }
    public String blockHandlerMethod(String name, BlockException e){
        e.printStackTrace();
        return "blockHandlerMethod for Query : " + name;
    }
}

@Component
public class SentinelConfig {
    @PostConstruct
    private void init(){
        List<FlowRule> rules = new ArrayList<>();
        FlowRule rule = new FlowRule(QueryService.KEY);
        rule.setCount(1);
        rule.setGrade(RuleConstant.FLOW_GRADE_QPS);
        rule.setLimitApp("default");
        rules.add(rule);
        FlowRuleManager.loadRules(rules);
    }
}

spring:
  application:
    name: sentinel-test
  cloud:
    sentinel:
      transport:
        port: 8719
        dashboard: localhost:8088

java -Dserver.port=8088 -jar sentinel-dashboard-1.8.0.jar

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-gateway</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-data-redis-reactive</artifactId>
</dependency>

spring:
  application:
    name: gateway-test
  cloud:
    gateway:
      routes:
        - id: limit_route
          uri: lb://sentinel-test
          predicates:
          - Path=/sentinel-test/**
          filters:
            - name: RequestRateLimiter
              args:
                # 令牌桶每秒填充平均速率
                redis-rate-limiter.replenishRate: 1
                # 令牌桶上限
                redis-rate-limiter.burstCapacity: 2
                # 指定解析器，使用spEl表達(dá)式按beanName從spring容器中獲取
                key-resolver: "#{@pathKeyResolver}"
            - StripPrefix=1
  redis:
    host: 127.0.0.1
    port: 6379

@Slf4j
@Component
public class PathKeyResolver implements KeyResolver {
    public Mono<String> resolve(ServerWebExchange exchange) {
        String path = exchange.getRequest().getPath().toString();
        log.info("Request path: {}",path);
        return Mono.just(path);
    }
}