<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>技术文档 on 影神图</title><link>https://jiangxt2.github.io/</link><description>Recent content in 技术文档 on 影神图</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Thu, 17 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jiangxt2.github.io/index.xml" rel="self" type="application/rss+xml"/><item><title>ClickHouse</title><link>https://jiangxt2.github.io/docs/clickhouse/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/docs/clickhouse/</guid><description>围绕 MergeTree、排序键、分区和查询执行，拆解 ClickHouse 的分析型路径。</description></item><item><title>ClickHouse vs Doris：分析型数据库如何选</title><link>https://jiangxt2.github.io/comparisons/clickhouse-vs-doris/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/comparisons/clickhouse-vs-doris/</guid><description>从数据组织、查询执行、生态和运维边界出发，建立 ClickHouse 与 Doris 的比较框架。</description></item><item><title>Daft</title><link>https://jiangxt2.github.io/docs/daft/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/docs/daft/</guid><description>记录 DataFrame、物理执行计划和分布式数据处理之间的联系。</description></item><item><title>Doris</title><link>https://jiangxt2.github.io/docs/doris/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/docs/doris/</guid><description>记录 MPP 分析、分区分桶、表模型和查询加速相关实践。</description></item><item><title>Ray</title><link>https://jiangxt2.github.io/docs/ray/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/docs/ray/</guid><description>从 Tasks、Actors 和调度模型出发，理解 Ray 的分布式应用路径。</description></item><item><title>Shuffle 是什么</title><link>https://jiangxt2.github.io/concepts/shuffle/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/concepts/shuffle/</guid><description>解释分布式计算为什么需要重新分布数据，以及 Shuffle 的成本从哪里来。</description></item><item><title>Spark</title><link>https://jiangxt2.github.io/docs/spark/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/docs/spark/</guid><description>从执行模型、Shuffle、Spark SQL 到流处理，建立 Spark 专题路线。</description></item><item><title>Spark vs Daft：数据处理模型的差异</title><link>https://jiangxt2.github.io/comparisons/spark-vs-daft/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/comparisons/spark-vs-daft/</guid><description>比较 Spark 与 Daft 在数据抽象、执行计划、生态和适用场景上的差异。</description></item><item><title>Spark vs Ray：批处理与分布式应用</title><link>https://jiangxt2.github.io/comparisons/spark-vs-ray/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/comparisons/spark-vs-ray/</guid><description>从计算抽象、任务调度、数据处理和生态边界理解 Spark 与 Ray 的区别。</description></item><item><title>什么是向量化执行</title><link>https://jiangxt2.github.io/concepts/vectorized-execution/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/concepts/vectorized-execution/</guid><description>用批量处理而不是逐行处理理解向量化执行，以及它为什么常出现在 OLAP 系统中。</description></item><item><title>行式存储与列式存储</title><link>https://jiangxt2.github.io/concepts/columnar-storage/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://jiangxt2.github.io/concepts/columnar-storage/</guid><description>从访问模式、压缩、扫描和写入代价理解行式与列式存储。</description></item><item><title>欢迎来到我的技术笔记</title><link>https://jiangxt2.github.io/posts/2026/09/17/%E6%AC%A2%E8%BF%8E%E6%9D%A5%E5%88%B0%E6%88%91%E7%9A%84%E6%8A%80%E6%9C%AF%E7%AC%94%E8%AE%B0/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0800</pubDate><guid>https://jiangxt2.github.io/posts/2026/09/17/%E6%AC%A2%E8%BF%8E%E6%9D%A5%E5%88%B0%E6%88%91%E7%9A%84%E6%8A%80%E6%9C%AF%E7%AC%94%E8%AE%B0/</guid><description>这是一个使用 Hugo、Vue 和 GitHub Pages 构建的个人技术站点。</description></item></channel></rss>