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<rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:media="http://search.yahoo.com/mrss/" version="2.0"><channel><title>残云的学习笔记</title><link>https://www.rescld.cn</link><atom:link href="https://www.rescld.cn/rss.xml" rel="self" type="application/rss+xml"/><description>May all the beauty be blessed</description><generator>Halo v2.25.4</generator><language>zh-cn</language><lastBuildDate>Wed, 1 Jul 2026 17:47:01 GMT</lastBuildDate><item><title><![CDATA[KNN 算法原理与实战指南]]></title><link>https://www.rescld.cn/archives/knn</link><description><![CDATA[<img src="https://www.rescld.cn/plugins/feed/assets/telemetry.gif?title=KNN%20%E7%AE%97%E6%B3%95%E5%8E%9F%E7%90%86%E4%B8%8E%E5%AE%9E%E6%88%98%E6%8C%87%E5%8D%97&amp;url=/archives/knn" width="1" height="1" alt="" style="opacity:0;">KNN (K-Nearest Neighbors)，即 K-最近邻算法，是机器学习中最简单且直观的算法之一。它属于有监督学习，既可以解决分类问题，也可以解决回归问题。]]></description><guid isPermaLink="false">/archives/knn</guid><dc:creator>残云cyun</dc:creator><category>机器学习</category><pubDate>Sat, 18 Apr 2026 17:25:43 GMT</pubDate></item><item><title><![CDATA[Redisson 分布式锁源码分析]]></title><link>https://www.rescld.cn/archives/redisson-source-code-analysis</link><description><![CDATA[<img src="https://www.rescld.cn/plugins/feed/assets/telemetry.gif?title=Redisson%20%E5%88%86%E5%B8%83%E5%BC%8F%E9%94%81%E6%BA%90%E7%A0%81%E5%88%86%E6%9E%90&amp;url=/archives/redisson-source-code-analysis" width="1" height="1" alt="" style="opacity:0;">Redisson 分布式锁源码精讲：可重入实现、看门狗续期、解锁防重复请求，再教你用 MultiLock 解决 Redis 故障隐患，实战 + 源码双维度吃透！]]></description><guid isPermaLink="false">/archives/redisson-source-code-analysis</guid><dc:creator>残云cyun</dc:creator><category>Redis</category><pubDate>Sun, 2 Nov 2025 11:30:41 GMT</pubDate></item><item><title><![CDATA[手写 Redis 分布式锁]]></title><link>https://www.rescld.cn/archives/redis-distributed-locks</link><description><![CDATA[<img src="https://www.rescld.cn/plugins/feed/assets/telemetry.gif?title=%E6%89%8B%E5%86%99%20Redis%20%E5%88%86%E5%B8%83%E5%BC%8F%E9%94%81&amp;url=/archives/redis-distributed-locks" width="1" height="1" alt="" style="opacity:0;">应对分布式场景下 JVM 锁失效问题，剖析 Redis 分布式锁核心设计逻辑，提供全链路优化与工程化实现方案。]]></description><guid isPermaLink="false">/archives/redis-distributed-locks</guid><dc:creator>残云cyun</dc:creator><category>Redis</category><pubDate>Thu, 30 Oct 2025 05:07:52 GMT</pubDate></item><item><title><![CDATA[布隆过滤器]]></title><link>https://www.rescld.cn/archives/bloom-filter</link><description><![CDATA[<img src="https://www.rescld.cn/plugins/feed/assets/telemetry.gif?title=%E5%B8%83%E9%9A%86%E8%BF%87%E6%BB%A4%E5%99%A8&amp;url=/archives/bloom-filter" width="1" height="1" alt="" style="opacity:0;">应对海量数据查询的性能瓶颈，剖析布隆过滤器的空间效率与误报率特性，提供哈希函数选择与容量调优的实战指南。]]></description><guid isPermaLink="false">/archives/bloom-filter</guid><dc:creator>残云cyun</dc:creator><category>数据结构</category><pubDate>Wed, 22 Oct 2025 09:10:50 GMT</pubDate></item><item><title><![CDATA[Redis 双写一致性]]></title><link>https://www.rescld.cn/archives/redis-dual-write-consistency</link><description><![CDATA[<img src="https://www.rescld.cn/plugins/feed/assets/telemetry.gif?title=Redis%20%E5%8F%8C%E5%86%99%E4%B8%80%E8%87%B4%E6%80%A7&amp;url=/archives/redis-dual-write-consistency" width="1" height="1" alt="" style="opacity:0;">应对双写策略下的数据不一致问题，剖析缓存与数据库一致性问题根源，提供延迟双删等实战解决方案。]]></description><guid isPermaLink="false">/archives/redis-dual-write-consistency</guid><dc:creator>残云cyun</dc:creator><category>Redis</category><pubDate>Sat, 18 Oct 2025 02:26:04 GMT</pubDate></item><item><title><![CDATA[Redis BigKey/MoreKey]]></title><link>https://www.rescld.cn/archives/redis-bigkey-morekey</link><description><![CDATA[<img src="https://www.rescld.cn/plugins/feed/assets/telemetry.gif?title=Redis%20BigKey%2FMoreKey&amp;url=/archives/redis-bigkey-morekey" width="1" height="1" alt="" style="opacity:0;">解析大Key与多Key引发的性能瓶颈与内存隐患，提供规避、检测与优化方案。]]></description><guid isPermaLink="false">/archives/redis-bigkey-morekey</guid><dc:creator>残云cyun</dc:creator><category>Redis</category><pubDate>Wed, 15 Oct 2025 11:43:26 GMT</pubDate></item></channel></rss>