当前位置: 首页 > news >正文

redis实现限流

令牌桶逻辑

在这里插入图片描述
计算逻辑:
在这里插入图片描述
代码:

import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;/*** @ClassName RedisRateLimiterTokenBucket* @Description TODO* @Author zhang zhengdong* @DATE 2025/1/17 20:22* @Version 1.0*/
public class RedisRateLimiterTokenBucket {private JedisPool jedisPool;private String rateLimitKey;private int timeWindow; // 限制的时间窗口,单位为秒private int maxTokens; // 每个时间窗口的最大令牌数private int refillRate; // 每秒钟生成的令牌数public RedisRateLimiterTokenBucket(JedisPool jedisPool, String rateLimitKey, int timeWindow, int maxTokens, int refillRate) {this.jedisPool = jedisPool;this.rateLimitKey = rateLimitKey;this.timeWindow = timeWindow;this.maxTokens = maxTokens;this.refillRate = refillRate;}/*** 尝试获取令牌*/public boolean acquire() {try (Jedis jedis = jedisPool.getResource()) {long currentTime = System.currentTimeMillis() / 1000;String key = rateLimitKey + ":tokens";String lastRefillKey = rateLimitKey + ":lastRefillTime";// 获取最后一次令牌补充的时间String lastRefillTime = jedis.get(lastRefillKey);if (lastRefillTime == null) {jedis.set(lastRefillKey, String.valueOf(currentTime));jedis.set(key, String.valueOf(maxTokens));lastRefillTime = String.valueOf(currentTime);}// 计算补充令牌的数量long elapsed = currentTime - Long.parseLong(lastRefillTime);int tokensToAdd = (int) (elapsed * refillRate);// 计算当前令牌数int tokens = Integer.parseInt(jedis.get(key));tokens = Math.min(tokens + tokensToAdd, maxTokens);// 如果令牌数大于 0,则消费一个令牌if (tokens > 0) {jedis.set(key, String.valueOf(tokens - 1));jedis.set(lastRefillKey, String.valueOf(currentTime));return true;}return false; // 没有令牌,拒绝请求}}
}

验证代码


import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig;/*** @ClassName RedisRateLimiterTokenBucketTest* @Description TODO* @Author zhang zhengdong* @DATE 2025/1/17 20:25* @Version 1.0*/
public class RedisRateLimiterTokenBucketTest {public static void main(String[] args) {// 初始化 Jedis 连接池JedisPoolConfig poolConfig = new JedisPoolConfig();poolConfig.setMaxTotal(10);JedisPool jedisPool = new JedisPool(poolConfig, "localhost", 6379);// 限流设置:10 秒内最多 20 次请求int timeWindow = 10;int maxRequestsPerWindow = 10;// 使用 令牌桶 算法实现限流RedisRateLimiterTokenBucket rateLimiterTokenBucket = new RedisRateLimiterTokenBucket(jedisPool,"rate_limit_token_bucket", timeWindow, maxRequestsPerWindow, 1);for (int i = 0; i < 25; i++) {boolean allowed = rateLimiterTokenBucket.acquire();if (allowed) {System.out.println("请求 " + (i + 1) + " 被允许");} else {System.out.println("请求 " + (i + 1) + " 被拒绝");}//			try {
//				Thread.sleep(400);  // 模拟请求间隔
//			} catch (InterruptedException e) {
//				e.printStackTrace();
//			}}}
}

zset实现限流逻辑

在这里插入图片描述


import redis.clients.jedis.Jedis;
import redis.clients.jedis.JedisPool;import java.util.UUID;/*** @ClassName RedisRateLimiterZSet* @Description TODO* @Author zhang zhengdong* @DATE 2025/1/17 19:50* @Version 1.0*/
public class RedisRateLimiterZSet {private JedisPool jedisPool;private String rateLimitKey;private int timeWindow; // 限制的时间窗口,单位为秒private int maxRequestsPerWindow; // 每个窗口允许的最大请求次数public RedisRateLimiterZSet(JedisPool jedisPool, String rateLimitKey, int timeWindow, int maxRequestsPerWindow) {this.jedisPool = jedisPool;this.rateLimitKey = rateLimitKey;this.timeWindow = timeWindow;this.maxRequestsPerWindow = maxRequestsPerWindow;}public boolean acquire() {try (Jedis jedis = jedisPool.getResource()) {Long currentTime = System.currentTimeMillis();System.out.println(currentTime);if (jedis.zcard(rateLimitKey) > 0) {Integer count = jedis.zrangeByScore(rateLimitKey, currentTime - 10 * 1000, currentTime).size(); // 注意这里使用zrangeByScore,以时间作为score。zrange key start stop 命令的start和stop是序号。System.out.println(count);if (count != null && count > maxRequestsPerWindow) {return false;}}jedis.zadd(rateLimitKey, Double.valueOf(currentTime), UUID.randomUUID().toString());return true;}}}

测试


import redis.clients.jedis.JedisPool;
import redis.clients.jedis.JedisPoolConfig;/*** @ClassName RateLimiterZSetTest* @Description TODO* @Author zhang zhengdong* @DATE 2025/1/17 20:00* @Version 1.0*/
public class RedisRateLimiterZSetTest {public static void main(String[] args) {JedisPoolConfig jedisConfig = new JedisPoolConfig();jedisConfig.setMaxTotal(10);JedisPool jedisPool = new JedisPool(jedisConfig, "localhost", 6379);// 限流设置:10 秒内最多 20 次请求RedisRateLimiterZSet rateLimiter = new RedisRateLimiterZSet(jedisPool, "rate_limit_zset", 10, 20);// 测试:连续请求for (int i = 0; i < 25; i++) {boolean allowed = rateLimiter.acquire();if (allowed) {System.out.println("请求 " + (i + 1) + " 被允许");} else {System.out.println("请求 " + (i + 1) + " 被拒绝");}// 延迟 400ms 后再次尝试
//			try {
//				Thread.sleep(400);  // 模拟请求间隔
//			} catch (InterruptedException e) {
//				e.printStackTrace();
//			}}}
http://www.lryc.cn/news/523706.html

相关文章:

  • 基于SpringBoot和PostGIS的各国及所属机场信息检索及可视化实现
  • python http server运行Angular 单页面路由时重定向,解决404问题
  • GPT-4o背后的语音技术
  • 微透镜阵列精准全检,白光干涉3D自动量测方案提效70%
  • Spring boot框架下的RocketMQ消息中间件
  • 记录一次 centos 启动失败
  • C++学习第五天
  • openharmony标准系统方案之瑞芯微RK3568移植案例
  • 深入理解 SSH 端口转发:本地 vs 远程 vs 动态转发
  • postman请求参数化
  • 基于 WEB 开发的汽车养护系统设计与实现
  • Nginx正向代理配置
  • 本地仓库管理之当前分支内的操作
  • 《内网穿透:网络拓展与安全防护的平衡艺术》
  • 【python写个可以运行的2048小游戏】
  • 【Flink系列】9. Flink容错机制
  • DETR论文阅读
  • 关于vite+vue3+ts项目中env.d.ts 文件详解
  • 如何优化Elasticsearch大文档查询?
  • Kotlin Bytedeco OpenCV 图像图像54 透视变换 图像矫正
  • Linux中DataX使用第一期
  • [Qt]事件-鼠标事件、键盘事件、定时器事件、窗口改变事件、事件分发器与事件过滤器
  • 关于机器学习的一份总结
  • 推荐一个开源的轻量级任务调度器!TaskScheduler!
  • 【18】Word:明华中学-儿童医保❗
  • 如何用selenium来链接并打开比特浏览器进行自动化操作(1)
  • 基于springboot+thymeleaf+Redis仿知乎网站问答项目源码
  • 读spring官方文档的一些关键知识点介绍
  • 2024年AI与大数据技术趋势洞察:跨领域创新与社会变革
  • ThinkPhp项目解决静态资源请求的跨域问题的解决思路