[docs fix]对 CPU 缓存模型绘图不严谨的地方进行完善

docs/database/redis/redis-questions-02.md

@@ -311,7 +311,7 @@ _为什么会出现误判的情况呢? 我们还要从布隆过滤器的原理
 
 举个例子：系统的缓存模块出了问题比如宕机导致不可用。造成系统的所有访问，都要走数据库。
 
-还有一种缓存雪崩的场景是：**有一些被大量访问数据（热点缓存）在某一时刻大面积失效，导致对应的请求直接落到了数据库上。** 这样的情况，有下面几种解决办法：
+还有一种缓存雪崩的场景是：**有一些被大量访问数据（热点缓存）在某一时刻大面积失效，导致对应的请求直接落到了数据库上。** 
 
 举个例子 ：秒杀开始 12 个小时之前，我们统一存放了一批商品到 Redis 中，设置的缓存过期时间也是 12 个小时，那么秒杀开始的时候，这些秒杀的商品的访问直接就失效了。导致的情况就是，相应的请求直接就落到了数据库上，就像雪崩一样可怕。
 

docs/java/concurrent/images/jmm/.$cpu-cache-protocol.drawio.bkp

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docs/java/concurrent/images/jmm/.$cpu-cache.drawio.bkp

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docs/java/concurrent/images/jmm/cpu-cache-protocol.drawio

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docs/java/concurrent/images/jmm/cpu-cache.drawio

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docs/java/concurrent/jmm.md

@@ -22,10 +22,14 @@ head:
 
 总结：**CPU Cache 缓存的是内存数据用于解决 CPU 处理速度和内存不匹配的问题，内存缓存的是硬盘数据用于解决硬盘访问速度过慢的问题。**
 
-为了更好地理解，我画了一个简单的 CPU Cache 示意图如下（实际上，现代的 CPU Cache 通常分为三层，分别叫 L1,L2,L3 Cache）:
+为了更好地理解，我画了一个简单的 CPU Cache 示意图如下所示。
+
+> **🐛 修正（参见： [issue#1848](https://github.com/Snailclimb/JavaGuide/issues/1848)）**：对 CPU 缓存模型绘图不严谨的地方进行完善。
 
 ![CPU 缓存模型示意图](https://guide-blog-images.oss-cn-shenzhen.aliyuncs.com/github/javaguide/java/concurrent/cpu-cache.png)
 
+现代的 CPU Cache 通常分为三层，分别叫 L1,L2,L3 Cache。有些 CPU 可能还有 L4 Cache，这里不做讨论，并不常见
+
 **CPU Cache 的工作方式：** 先复制一份数据到 CPU Cache 中，当 CPU 需要用到的时候就可以直接从 CPU Cache 中读取数据，当运算完成后，再将运算得到的数据写回 Main Memory 中。但是，这样存在 **内存缓存不一致性的问题** ！比如我执行一个 i++ 操作的话，如果两个线程同时执行的话，假设两个线程从 CPU Cache 中读取的 i=1，两个线程做了 1++ 运算完之后再写回 Main Memory 之后 i=2，而正确结果应该是 i=3。
 
 **CPU 为了解决内存缓存不一致性问题可以通过制定缓存一致协议（比如 [MESI 协议](https://zh.wikipedia.org/wiki/MESI%E5%8D%8F%E8%AE%AE)）或者其他手段来解决。** 这个缓存一致性协议指的是在 CPU 高速缓存与主内存交互的时候需要遵守的原则和规范。不同的 CPU 中，使用的缓存一致性协议通常也会有所不同。