<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>统一计算 on PlumePHP</title><link>https://plumephp.com/tags/%E7%BB%9F%E4%B8%80%E8%AE%A1%E7%AE%97/</link><description>Recent content in 统一计算 on PlumePHP</description><generator>Hugo</generator><language>zh-CN</language><lastBuildDate>Wed, 30 Sep 2026 14:00:00 +0800</lastBuildDate><atom:link href="https://plumephp.com/tags/%E7%BB%9F%E4%B8%80%E8%AE%A1%E7%AE%97/index.xml" rel="self" type="application/rss+xml"/><item><title>流批一体：从 Lambda/Kappa 架构到统一计算层</title><link>https://plumephp.com/data-stream-batch-unification/</link><pubDate>Wed, 30 Sep 2026 14:00:00 +0800</pubDate><guid>https://plumephp.com/data-stream-batch-unification/</guid><description>&lt;h2 id="引言"&gt;引言&lt;/h2&gt;
&lt;p&gt;过去十年，实时与批处理被当成两条路：批处理算得全但慢，流处理算得快但&amp;quot;不够严谨&amp;quot;。为了两头兼顾，很多团队搭建了 Lambda 架构——一套流式链路出实时结果，一套批式链路出最终结果，再用一个&amp;quot;合并层&amp;quot;缝合。代价是两套代码、两套口径、两倍运维。流批一体的目标，是用&lt;strong&gt;一套引擎、一套语义、一套数据&lt;/strong&gt;同时覆盖批与流，让口径天然一致、代码只写一遍。&lt;/p&gt;</description></item></channel></rss>