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class="post post-v3 white-box reveal shadow floatable blur" itemscope itemtype="http://schema.org/Article"><link itemprop="mainEntityOfPage" href="https://blog.mhuig.top/p/notes-spark/"><span hidden itemprop="publisher" itemscope itemtype="http://schema.org/Organization"><meta itemprop="name" content="Magicland"></span><span hidden itemprop="post" itemscope itemtype="http://schema.org/CreativeWork"><meta itemprop="name" content="Spark 系列专题"><meta itemprop="description" content="Apache Spark是加州大学伯克利分校开发的分布式计算框架，核心是弹性分布式数据集（RDD），支持内存计算，比Hadoop MapReduce快10-100倍。通过DAG引擎优化执行计划，提供SQL查询（Spark SQL）、流处理（Structured Streaming）和机器学习（MLlib）等组件，支持Java、Python等多语言API，广泛应用于大数据分析、实时处理和AI训练场景。"></span><span hidden><meta itemprop="image" content="/lib/favicon/android-chrome-192x192.png"></span> <span hidden itemprop="name headline">Spark 系列专题</span><div class="md article-desc" itemprop="articleBody"><p><svg style="width: 50px; margin: 0 auto; display: block;" xmlns="http://www.w3.org/2000/svg" viewbox="0 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.1251-11.88-4.125-16C502.1 .4663 496.9-1.034 491.1 .7163zM315.4 300.3l-50.63 49.38l11.88 69.63c1 5.75-1.375 11.63-6 15c-4.75 3.375-11 3.875-16.13 1.125l-62.5-32.88l-62.63 32.88c-11 6-24.25-3.5-22.13-16.13l12-69.63L68.6 300.3C64.47 296.2 62.97 290.2 64.72 284.6c1.75-5.5 6.625-9.625 12.38-10.38l69.88-10.25l31.25-63.5c2.5-5.125 7.875-8.5 13.75-8.5c5.75 0 11.13 3.375 13.63 8.5l31.38 63.5l69.75 10.25c5.875 .875 10.63 4.875 12.38 10.38C320.1 290.1 319.5 296.2 315.4 300.3z"/></svg></p><p> <span class="p logo center large">Spark</span></p><br><br><span class="btn solid large center"><a class="button" href="/notes/spark/" title="开始阅读"><i class="fa-duotone fa-comet"></i> 开始阅读</a></span><br></div><div class="meta-v3" line_style="solid"><div><span hidden itemprop="author" itemscope itemtype="http://schema.org/Person"><meta itemprop="image" content="/lib/avatar/avatar-16.webp"><meta itemprop="name" content="MHuiG"><meta itemprop="url" content="https://mhuig.top/"></span> <time class="update-time" 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href="/categories/%E5%A4%A7%E6%95%B0%E6%8D%AE/">大数据</a><span class="sep"></span><a class="category-link" href="/categories/%E5%A4%A7%E6%95%B0%E6%8D%AE/%E6%A6%82%E8%BF%B0/">概述</a> <span hidden itemprop="about" itemscope itemtype="http://schema.org/Thing"><a href="/categories/%E5%A4%A7%E6%95%B0%E6%8D%AE/" itemprop="url"><span itemprop="name">大数据</span></a></span> <span hidden itemprop="about" itemscope itemtype="http://schema.org/Thing"><a href="/categories/%E5%A4%A7%E6%95%B0%E6%8D%AE/%E6%A6%82%E8%BF%B0/" itemprop="url"><span itemprop="name">概述</span></a></span><span class="dot"></span> <a class="category-link" href="/tags/BigData/">BigData</a> <span hidden itemprop="about" itemscope itemtype="http://schema.org/Thing"><a href="/tags/BigData/" itemprop="url"><span itemprop="name">BigData</span></a></span></div></div></div></div><div class="post-wrapper"><div class="post post-v3 white-box reveal shadow floatable blur" itemscope itemtype="http://schema.org/Article"><link 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