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Articles by Redisson redisson

Hybrid Cache Strategy in Spring Boot: A Guide to Redisson and Caffeine Integration

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By return Redisson.create, return cacheManager, Redisson redisson, long expirationTime
| DEV Community
In modern application development, performance and scalability are critical factors that determine the success of a system. Caching plays a pivotal role in improving these aspects by reducing database load, minimizing latency, and ensuring a seamless user experience. However, no single caching solution is perfect for every scenario. Local caches, like Caffeine, provide extremely fast data retrieval because they operate in memory and are close to the application.
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一线大厂Redis高并发缓存架构实战与性能优化_小超同学卷起来的博客-CSDN博客

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By Redisson redisson, Genproduct CacheTimeout, return productResult, Genempty CacheTimeout
| CSDN
我们都知道，一般的互联网公司redis部署都是主从结构的，那么复制基本都是异步执行的，那就存在一个问题，当我们设置分布式锁的时候，还没来得及将key复制到从节点，主节点挂了，那么从节点会成为主节点，但是主节点的分布式锁key就会丢失掉，如果新线程进来执行同步代码同样会导致超卖问题 那么这个问题想解决，其实并没有那么容易 我们知道zk也能实现分布式锁，他是怎么实现的呢？ 首先zk会有一个leader节点，还会有多个flow节点（类似于redis的master和slave），当我们在leader节点设置一把分布所锁的时候，leader节点不会立即将设置的结果返回客户端，leader会从其flow节点去复制key，当flow复制成功key返回信息给leader节点的时候，leadfer会统计一个同步的数量，当这个数量超过半数的时候，才会返回给客户端表示这把分布式锁设置成功了。 那么zk就不会存在因为主从节点切换导致的分布式锁生效的问题 从CAP角度看，redis更多满足的是AP（可用性和容错性），zk是CP的（一致性和容错性）...
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Redis深入理解六 ：Redis 分布式锁 以及 Redisson 锁续命分析、读写锁

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By Redisson redisson, return productResult, Genproduct CacheTimeout, Hotcreate CacheLock.lock
| CSDN
简单redis锁实现（思考问题） @Autowired private StringRedisTemplate stringRedisTemplate; public String testRedisLock() { String lockKey = "lock:product:1"; String clientId = UUID.randomUUID().toString(); Boolean result = stringRedisTemplate.opsForValue().setIfAbsent(lockKey, clientId, 30, TimeUnit.SECONDS); if (!result) return "error"; try { } finally { if (clientId.equals(stringRedisTemplate.opsForValue().get(lockKey))) { stringRedisTemplate.delete(lockKey); } } return "ok"; } 大型网站高并发 @Service public...
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