<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>计算成本 on 数据库工程博客</title><link>https://stdb.top/tags/%E8%AE%A1%E7%AE%97%E6%88%90%E6%9C%AC/</link><description>Recent content in 计算成本 on 数据库工程博客</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sun, 05 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://stdb.top/tags/%E8%AE%A1%E7%AE%97%E6%88%90%E6%9C%AC/index.xml" rel="self" type="application/rss+xml"/><item><title>第 4 篇：Lakehouse 成本问题往往不在存储</title><link>https://stdb.top/lakehouse-series/lakehouse-compute-and-cost/</link><pubDate>Sun, 05 Apr 2026 00:00:00 +0000</pubDate><guid>https://stdb.top/lakehouse-series/lakehouse-compute-and-cost/</guid><description>从扫描量、文件组织、引擎并发和治理边界四方面分析 lakehouse 的成本控制。</description></item></channel></rss>