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<p>Choose a Spark release: <select id="sparkVersionSelect" onchange="javascript:onVersionSelect();"></select><br /></p> </li> <li> <p>Choose a package type: <select id="sparkPackageSelect" onchange="javascript:onPackageSelect();"></select><br /></p> </li> <li> <p>Download Spark: <span id="spanDownloadLink"></span></p> </li> <li> <p>Verify this release using the <span id="sparkDownloadVerify"></span> and <a href="https://downloads.apache.org/spark/KEYS">project release KEYS</a> by following these <a href="https://www.apache.org/info/verification.html">procedures</a>.</p> </li> </ol> <p>Note that Spark 3 is pre-built with Scala 2.12 in general and Spark 3.2+ provides additional pre-built distribution with Scala 2.13.</p> <h3 id="link-with-spark">Link with Spark</h3> <p>Spark artifacts are <a href="https://search.maven.org/search?q=g:org.apache.spark">hosted in Maven Central</a>. You can add a Maven dependency with the following coordinates:</p> <div class="language-plaintext highlighter-rouge"><div class="highlight"><pre class="highlight"><code>groupId: org.apache.spark artifactId: spark-core_2.12 version: 3.5.3 </code></pre></div></div> <h3 id="installing-with-pypi">Installing with PyPi</h3> <p><a href="https://pypi.org/project/pyspark/">PySpark</a> is now available in pypi. To install just run <code class="language-plaintext highlighter-rouge">pip install pyspark</code>.</p> <h3 id="installing-with-docker">Installing with Docker</h3> <p>Spark docker images are available from Dockerhub under the accounts of both <a href="https://hub.docker.com/r/apache/spark/">The Apache Software Foundation</a> and <a href="https://hub.docker.com/_/spark">Official Images</a>.</p> <p>Note that, these images contain non-ASF software and may be subject to different license terms. Please check their <a href="https://github.com/apache/spark-docker">Dockerfiles</a> to verify whether they are compatible with your deployment.</p> <h3 id="release-notes-for-stable-releases">Release notes for stable releases</h3> <ul id="sparkReleaseNotes"></ul> <h3 id="archived-releases">Archived releases</h3> <p>As new Spark releases come out for each development stream, previous ones will be archived, but they are still available at <a href="https://archive.apache.org/dist/spark/">Spark release archives</a>.</p> <p><strong>NOTE</strong>: Previous releases of Spark may be affected by security issues. Please consult the <a href="security.html">Security</a> page for a list of known issues that may affect the version you download before deciding to use it.</p> </div> <div class="col-12 col-md-3"> <div class="news" style="margin-bottom: 20px;"> <h5>Latest News</h5> <ul class="list-unstyled"> <li><a href="/news/spark-3-4-4-released.html">Spark 3.4.4 released</a> <span class="small">(Oct 27, 2024)</span></li> <li><a href="/news/spark-4.0.0-preview2.html">Preview release of Spark 4.0</a> <span class="small">(Sep 26, 2024)</span></li> <li><a href="/news/spark-3-5-3-released.html">Spark 3.5.3 released</a> <span class="small">(Sep 24, 2024)</span></li> <li><a href="/news/spark-3-5-2-released.html">Spark 3.5.2 released</a> <span class="small">(Aug 10, 2024)</span></li> </ul> <p class="small" style="text-align: right;"><a href="/news/index.html">Archive</a></p> </div> <div style="text-align:center; margin-bottom: 20px;"> <a href="https://www.apache.org/events/current-event.html"> <img src="https://www.apache.org/events/current-event-234x60.png" style="max-width: 100%;"/> </a> </div> <div class="hidden-xs hidden-sm"> <a href="/downloads.html" class="btn btn-cta btn-lg d-grid" style="margin-bottom: 30px;"> Download Spark </a> <p style="font-size: 16px; font-weight: 500; color: #555;"> Built-in Libraries: </p> <ul class="list-none"> <li><a href="/sql/">SQL and DataFrames</a></li> <li><a href="/streaming/">Spark Streaming</a></li> <li><a href="/mllib/">MLlib (machine learning)</a></li> <li><a href="/graphx/">GraphX (graph)</a></li> </ul> <a href="/third-party-projects.html">Third-Party Projects</a> </div> </div> </div> <footer class="small"> <hr> Apache Spark, Spark, Apache, the Apache feather logo, and the Apache Spark project logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries. 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