ps网站首页设计图,家装设计师工作内容,湘潭网站建设 皆来磐石网络,湖南省疾控中心#x1f50c; Redis 与微服务架构结合#xff1a;高并发场景下的架构艺术 文章目录#x1f50c; Redis 与微服务架构结合#xff1a;高并发场景下的架构艺术#x1f9e9; 一、微服务架构下的挑战⚠️ 典型痛点分析#x1f4ca; 性能瓶颈对比⚙️ 二、Redis作为配置中心 Redis 与微服务架构结合高并发场景下的架构艺术 文章目录 Redis 与微服务架构结合高并发场景下的架构艺术 一、微服务架构下的挑战⚠️ 典型痛点分析 性能瓶颈对比⚙️ 二、Redis作为配置中心️ 架构设计 核心实现 三、Redis作为缓存中间层️ 缓存架构设计 缓存策略实现 缓存一致性方案 四、Spring Cloud Redis实战⚙️ 配置中心集成 缓存网关实现 五、总结与延伸 架构选型建议 未来演进方向一、微服务架构下的挑战
⚠️ 典型痛点分析
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场景QPS要求传统方案痛点Redis解决方案优势配置读取5000文件IO瓶颈内存级读取速度商品查询10000数据库压力缓存命中率99%订单创建3000事务锁竞争原子操作队列用户会话8000状态同步难分布式Session
⚙️ 二、Redis作为配置中心
️ 架构设计
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配置存储结构
// 使用Hash存储配置组
String configKey config:payment-service;MapString, String configs new HashMap();
configs.put(timeout, 3000);
configs.put(retryCount, 3);
configs.put(enableSSL, true);redisTemplate.opsForHash().putAll(configKey, configs);热更新机制
Service
public class ConfigUpdater {// 更新配置并通知public void updateConfig(String serviceName, String key, String value) {String configKey config: serviceName;redisTemplate.opsForHash().put(configKey, key, value);redisTemplate.convertAndSend(config:update: serviceName, key);}
}// 配置监听器
Component
public class ConfigListener {RedisListener(topics config:update:payment-service)public void handleUpdate(String key) {reloadConfig(key);}
}三、Redis作为缓存中间层
️ 缓存架构设计
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多级缓存方案
public Object getProduct(String id) {// 1. 检查本地缓存Object value localCache.get(id);if (value ! null) return value;// 2. 检查Redis缓存value redisTemplate.opsForValue().get(product: id);if (value ! null) {localCache.put(id, value);return value;}// 3. 回源数据库value database.loadProduct(id);redisTemplate.opsForValue().set(product: id, value, 30, TimeUnit.MINUTES);return value;
}缓存一致性方案
双删策略实现
Transactional
public void updateProduct(Product product) {// 1. 先删除缓存redisTemplate.delete(product: product.getId());// 2. 更新数据库productDao.update(product);// 3. 延迟再删异步executor.schedule(() - {redisTemplate.delete(product: product.getId());}, 500, TimeUnit.MILLISECONDS);
}四、Spring Cloud Redis实战
⚙️ 配置中心集成
bootstrap.yml配置
spring:cloud:config:enabled: false # 禁用原生配置中心redis:host: redis-config-serverport: 6379动态配置注入
Configuration
RefreshScope
public class PaymentConfig {Value(${timeout:3000})private int timeout;Value(${retryCount:3})private int retryCount;
}缓存网关实现
Spring Cloud Gateway过滤器
public class CacheFilter implements GatewayFilter {Overridepublic MonoVoid filter(ServerWebExchange exchange, GatewayFilterChain chain) {String path exchange.getRequest().getURI().getPath();// 检查缓存Object cached redisTemplate.opsForValue().get(gateway:cache: path);if (cached ! null) {return writeResponse(exchange, cached);}// 继续执行并缓存结果return chain.filter(exchange).then(Mono.fromRunnable(() - {ServerHttpResponse response exchange.getResponse();if (response.getStatusCode() HttpStatus.OK) {Object body response.getBody();redisTemplate.opsForValue().set(gateway:cache: path, body, 10, TimeUnit.SECONDS);}}));}
}五、总结与延伸 架构选型建议
场景推荐方案优势注意事项配置中心Redis Hash Pub/Sub简单高效无版本管理会话共享Spring Session Redis无缝集成序列化优化分布式锁Redisson看门狗机制避免死锁缓存加速多级缓存极致性能一致性维护消息队列Stream持久化支持消费组管理未来演进方向
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# Istio配置示例
apiVersion: networking.istio.io/v1alpha3
kind: DestinationRule
metadata:name: redis-dr
spec:host: redis-servicetrafficPolicy:connectionPool:tcp:maxConnections: 1000redis: {}
