<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>InnoDB on 黄文卓 | DevOps Engineer</title><link>https://socake.github.io/tags/innodb/</link><description>Recent content in InnoDB on 黄文卓 | DevOps Engineer</description><generator>Hugo -- gohugo.io</generator><language>zh-CN</language><managingEditor>17691281867@163.com (Wenzhuo Huang)</managingEditor><webMaster>17691281867@163.com (Wenzhuo Huang)</webMaster><copyright>© 2026 Wenzhuo Huang</copyright><lastBuildDate>Fri, 18 Oct 2024 14:30:00 +0800</lastBuildDate><atom:link href="https://socake.github.io/tags/innodb/index.xml" rel="self" type="application/rss+xml"/><item><title>MySQL 深度调优：从 Buffer Pool 到锁等待的生产手册</title><link>https://socake.github.io/posts/mysql-performance-tuning-deep-dive/</link><pubDate>Fri, 18 Oct 2024 14:30:00 +0800</pubDate><author>17691281867@163.com (Wenzhuo Huang)</author><guid>https://socake.github.io/posts/mysql-performance-tuning-deep-dive/</guid><description>你有没有过这种体验：按网上教程把 innodb_buffer_pool_size 调到 75%、关了 query cache、打开了 innodb_file_per_table，然后告诉自己&amp;quot;MySQL 调优就这样了&amp;quot;？真正的调优是一个持续观察、假设、验证、回滚的过程。这篇文章把我在过去几年维护的十几套 MySQL 实例上积累的调参经验整理出来，每一条都能追到具体指标和业务效果。</description><media:content xmlns:media="http://search.yahoo.com/mrss/" url="https://socake.github.io/posts/mysql-performance-tuning-deep-dive/featured.jpg"/></item></channel></rss>