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| 1 | +package io.github.dunwu.distributed.ratelimit; |
| 2 | + |
| 3 | +import cn.hutool.core.thread.ThreadUtil; |
| 4 | +import cn.hutool.core.util.RandomUtil; |
| 5 | +import lombok.extern.slf4j.Slf4j; |
| 6 | + |
| 7 | +import java.util.concurrent.CountDownLatch; |
| 8 | +import java.util.concurrent.ExecutorService; |
| 9 | +import java.util.concurrent.TimeUnit; |
| 10 | +import java.util.concurrent.atomic.AtomicInteger; |
| 11 | + |
| 12 | +/** |
| 13 | + * 限流器示例 |
| 14 | + * |
| 15 | + * @author <a href="mailto:forbreak@163.com">Zhang Peng</a> |
| 16 | + * @date 2024-01-18 |
| 17 | + */ |
| 18 | +@Slf4j |
| 19 | +public class RateLimiterDemo { |
| 20 | + |
| 21 | + public static void main(String[] args) { |
| 22 | + |
| 23 | + // ============================================================================ |
| 24 | + |
| 25 | + int qps = 20; |
| 26 | + |
| 27 | + System.out.println("======================= 固定时间窗口限流算法 ======================="); |
| 28 | + FixedWindowRateLimiter fixedWindowRateLimiter = new FixedWindowRateLimiter(qps); |
| 29 | + testRateLimit(fixedWindowRateLimiter, qps); |
| 30 | + |
| 31 | + System.out.println("======================= 滑动时间窗口限流算法 ======================="); |
| 32 | + SlidingWindowRateLimiter slidingWindowRateLimiter = new SlidingWindowRateLimiter(qps, 10); |
| 33 | + testRateLimit(slidingWindowRateLimiter, qps); |
| 34 | + |
| 35 | + System.out.println("======================= 漏桶限流算法 ======================="); |
| 36 | + LeakyBucketRateLimiter leakyBucketRateLimiter = new LeakyBucketRateLimiter(qps, 100); |
| 37 | + testRateLimit(leakyBucketRateLimiter, qps); |
| 38 | + |
| 39 | + System.out.println("======================= 令牌桶限流算法 ======================="); |
| 40 | + TokenBucketRateLimiter tokenBucketRateLimiter = new TokenBucketRateLimiter(qps, 100); |
| 41 | + testRateLimit(tokenBucketRateLimiter, qps); |
| 42 | + } |
| 43 | + |
| 44 | + private static void testRateLimit(RateLimiter rateLimiter, int qps) { |
| 45 | + |
| 46 | + AtomicInteger okNum = new AtomicInteger(0); |
| 47 | + AtomicInteger limitNum = new AtomicInteger(0); |
| 48 | + ExecutorService executorService = ThreadUtil.newFixedExecutor(10, "限流测试", true); |
| 49 | + long beginTime = System.currentTimeMillis(); |
| 50 | + |
| 51 | + int threadNum = 4; |
| 52 | + final CountDownLatch latch = new CountDownLatch(threadNum); |
| 53 | + for (int i = 0; i < threadNum; i++) { |
| 54 | + executorService.submit(() -> { |
| 55 | + try { |
| 56 | + batchRequest(rateLimiter, okNum, limitNum, 1000); |
| 57 | + } catch (Exception e) { |
| 58 | + log.error("发生异常!", e); |
| 59 | + } finally { |
| 60 | + latch.countDown(); |
| 61 | + } |
| 62 | + }); |
| 63 | + } |
| 64 | + |
| 65 | + try { |
| 66 | + latch.await(10, TimeUnit.SECONDS); |
| 67 | + long endTime = System.currentTimeMillis(); |
| 68 | + long gap = endTime - beginTime; |
| 69 | + log.info("限流 QPS: {} -> 实际结果:耗时 {} ms,{} 次请求成功,{} 次请求被限流,实际 QPS: {}", |
| 70 | + qps, gap, okNum.get(), limitNum.get(), okNum.get() * 1000 / gap); |
| 71 | + if (okNum.get() == qps) { |
| 72 | + log.info("限流符合预期"); |
| 73 | + } |
| 74 | + } catch (Exception e) { |
| 75 | + log.error("发生异常!", e); |
| 76 | + } finally { |
| 77 | + executorService.shutdown(); |
| 78 | + } |
| 79 | + } |
| 80 | + |
| 81 | + private static void batchRequest(RateLimiter rateLimiter, AtomicInteger okNum, AtomicInteger limitNum, int num) |
| 82 | + throws InterruptedException { |
| 83 | + for (int j = 0; j < num; j++) { |
| 84 | + if (rateLimiter.tryAcquire(1)) { |
| 85 | + log.info("请求成功"); |
| 86 | + okNum.getAndIncrement(); |
| 87 | + } else { |
| 88 | + log.info("请求限流"); |
| 89 | + limitNum.getAndIncrement(); |
| 90 | + } |
| 91 | + TimeUnit.MILLISECONDS.sleep(RandomUtil.randomInt(0, 10)); |
| 92 | + } |
| 93 | + } |
| 94 | + |
| 95 | +} |
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