<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Table-Partitioning on Scholion</title><link>https://scholion.thluiz.com/tags/table-partitioning/</link><description>Recent content in Table-Partitioning on Scholion</description><generator>Hugo -- gohugo.io</generator><language>pt-BR</language><copyright>© 2026</copyright><lastBuildDate>Tue, 06 Oct 2026 04:20:06 +0100</lastBuildDate><atom:link href="https://scholion.thluiz.com/tags/table-partitioning/index.xml" rel="self" type="application/rss+xml"/><item><title>Node.js + MySQL Example: Handling 100's of GigaBytes of Data</title><link>https://scholion.thluiz.com/notes/nodejs-mysql-example-handling-hundred-gigabytes-data/</link><pubDate>Thu, 08 Jun 2017 15:45:39 -0300</pubDate><guid>https://scholion.thluiz.com/notes/nodejs-mysql-example-handling-hundred-gigabytes-data/</guid><description>The post explains how Node.js and MySQL can handle billions of rows and hundreds of gigabytes by using indexing, user-based tables, and table partitioning to manage retention and deletions.</description></item></channel></rss>