<rss xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title>SQL - 分类 - Victor's Code Journey</title><link>http://www.victorchu.info/categories/sql/</link><description>SQL - 分类 - Victor's Code Journey</description><generator>Hugo -- gohugo.io</generator><language>zh-cn</language><managingEditor>victorchu0610@outlook.com (victorchutian)</managingEditor><webMaster>victorchu0610@outlook.com (victorchutian)</webMaster><lastBuildDate>Wed, 16 Sep 2026 15:41:46 +0800</lastBuildDate><atom:link href="http://www.victorchu.info/categories/sql/" rel="self" type="application/rss+xml"/><item><title>百分位数函数原理</title><link>http://www.victorchu.info/posts/2026/09/199d380f/</link><pubDate>Wed, 16 Sep 2026 15:41:46 +0800</pubDate><author><name>victorchutian</name></author><guid>http://www.victorchu.info/posts/2026/09/199d380f/</guid><description><![CDATA[<div class="featured-image">
                <img src="/feature-images/spark.webp" referrerpolicy="no-referrer">
            </div><p>百分位数是描述数据分布最常用的指标之一:P95、P99 告诉你接口长尾延迟,中位数告诉你&quot;典型&quot;水平。SQL 标准为精确计算提供了 <code>PERCENTILE_CONT</code> 和 <code>PERCENTILE_DISC</code>,大数据引擎则普遍内置了以 sketch 为核心的近似算法。本文从原理出发介绍这些函数与算法,给出每种算法的伪代码,并配上可以手算验证的例子。</p>]]></description></item></channel></rss>