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<script>function showSearch(){addPlaceholder();var e,t=document.querySelector(".searchBar");t.classList.remove("disappear"),e=document.querySelector("#iconsBar"),e.classList.add("disappear")}function addPlaceholder(){$("input:text").attr("placeholder","What are you looking for?")}function endSearch(){var e,t=document.querySelector(".searchBar");t.classList.add("disappear"),e=document.querySelector("#iconsBar"),e.classList.remove("disappear")}function blockScroll(){$("body").toggleClass("fixedPosition")}function openMenu(){addPlaceholder(),blockScroll()}</script><div class="clearfix container-main-content"><div class="section-nav closed" data-offset-top=90 data-offset-bottom=500><span class="section-nav-back glyphicon glyphicon-menu-left"></span><nav><ul class=section-nav-list data-section-nav><li><span class=section-nav-list-main-title>Runners</span></li><li><a href=/documentation/runners/capability-matrix/>Capability Matrix</a></li><li><a href=/documentation/runners/direct/>Direct Runner</a></li><li><a href=/documentation/runners/flink/>Apache Flink</a></li><li><a href=/documentation/runners/nemo/>Apache Nemo</a></li><li><a href=/documentation/runners/samza/>Apache Samza</a></li><li><a href=/documentation/runners/spark/>Apache Spark</a></li><li><a href=/documentation/runners/dataflow/>Google Cloud Dataflow</a></li><li><a href=/documentation/runners/jet/>Hazelcast Jet</a></li><li><a href=/documentation/runners/twister2/>Twister2</a></li></ul></nav></div><nav class="page-nav clearfix" data-offset-top=90 data-offset-bottom=500><nav id=TableOfContents><ul><li><a href=#apache-hadoop-mapreduce-runner-prerequisites-and-setup>Apache Hadoop MapReduce Runner prerequisites and setup</a></li><li><a href=#deploying-apache-hadoop-mapreduce-with-your-application>Deploying Apache Hadoop MapReduce with your application</a></li><li><a href=#pipeline-options-for-the-apache-hadoop-mapreduce-runner>Pipeline options for the Apache Hadoop MapReduce Runner</a></li></ul></nav></nav><div class="body__contained body__section-nav"><h1 id=using-the-apache-hadoop-mapreduce-runner>Using the Apache Hadoop MapReduce Runner</h1><p>The Apache Hadoop MapReduce Runner can be used to execute Beam pipelines using <a href=https://hadoop.apache.org/>Apache Hadoop</a>.</p><p>The <a href=/documentation/runners/capability-matrix/>Beam Capability Matrix</a> documents the currently supported capabilities of the Apache Hadoop MapReduce Runner.</p><h2 id=apache-hadoop-mapreduce-runner-prerequisites-and-setup>Apache Hadoop MapReduce Runner prerequisites and setup</h2><p>You need to have an Apache Hadoop environment with either <a href=https://hadoop.apache.org/docs/r1.2.1/single_node_setup.html>Single Node Setup</a> or <a href=https://hadoop.apache.org/docs/r1.2.1/cluster_setup.html>Cluster Setup</a></p><p>The Apache Hadoop MapReduce runner currently supports Apache Hadoop version 2.8.1.</p><p>You can add a dependency on the latest version of the Apache Hadoop MapReduce runner by adding the following to your pom.xml:</p><pre tabindex=0><code>&lt;dependency&gt;
&lt;groupId&gt;org.apache.beam&lt;/groupId&gt;
&lt;artifactId&gt;beam-runners-mapreduce&lt;/artifactId&gt;
&lt;version&gt;2.55.1&lt;/version&gt;
&lt;/dependency&gt;
</code></pre><h2 id=deploying-apache-hadoop-mapreduce-with-your-application>Deploying Apache Hadoop MapReduce with your application</h2><p>To execute in a local Hadoop environment, use this command:</p><pre tabindex=0><code>$ mvn exec:java -Dexec.mainClass=org.apache.beam.examples.WordCount \
-Pmapreduce-runner \
-Dexec.args=&#34;--runner=MapReduceRunner \
--inputFile=/path/to/pom.xml \
--output=/path/to/counts \
--fileOutputDir=&lt;directory for intermediate outputs&gt;&#34;
</code></pre><p>To execute in a Hadoop cluster, package your program along with all dependencies in a fat jar.</p><p>If you are following through the <a href=/get-started/quickstart-java/>Beam Java SDK Quickstart</a>, you can run this command:</p><pre tabindex=0><code>$ mvn package -Pflink-runner
</code></pre><p>For actually running the pipeline you would use this command</p><pre tabindex=0><code>$ yarn jar word-count-beam-bundled-0.1.jar \
org.apache.beam.examples.WordCount \
--runner=MapReduceRunner \
--inputFile=/path/to/pom.xml \
--output=/path/to/counts \
--fileOutputDir=&lt;directory for intermediate outputs&gt;&#34;
</code></pre><h2 id=pipeline-options-for-the-apache-hadoop-mapreduce-runner>Pipeline options for the Apache Hadoop MapReduce Runner</h2><p>When executing your pipeline with the Apache Hadoop MapReduce Runner, you should consider the following pipeline options.</p><table class="table table-bordered"><tr><th>Field</th><th>Description</th><th>Default Value</th></tr><tr><td><code>runner</code></td><td>The pipeline runner to use. This option allows you to determine the pipeline runner at runtime.</td><td>Set to <code>MapReduceRunner</code> to run using Apache Hadoop MapReduce.</td></tr><tr><td><code>jarClass</code></td><td>The jar class of the user Beam program.</td><td>JarClassInstanceFactory.class</td></tr><tr><td><code>fileOutputDir</code></td><td>The directory for output files.</td><td>"/tmp/mapreduce/"</td></tr></table><div class=feedback><p class=update>Last updated on 2024/04/25</p><h3>Have you found everything you were looking for?</h3><p class=description>Was it all useful and clear? Is there anything that you would like to change? Let us know!</p><button class=load-button><a href="https://docs.google.com/forms/d/e/1FAIpQLSfID7abne3GE6k6RdJIyZhPz2Gef7UkpggUEhTIDjjplHuxSA/viewform?usp=header_link" target=_blank>SEND FEEDBACK</a></button></div></div></div><footer class=footer><div class=footer__contained><div class=footer__cols><div class="footer__cols__col footer__cols__col__logos"><div class=footer__cols__col__logo><img src=/images/beam_logo_circle.svg class=footer__logo alt="Beam logo"></div><div class=footer__cols__col__logo><img src=/images/apache_logo_circle.svg class=footer__logo alt="Apache logo"></div></div><div class=footer-wrapper><div class=wrapper-grid><div class=footer__cols__col><div class=footer__cols__col__title>Start</div><div class=footer__cols__col__link><a href=/get-started/beam-overview/>Overview</a></div><div class=footer__cols__col__link><a href=/get-started/quickstart-java/>Quickstart (Java)</a></div><div class=footer__cols__col__link><a href=/get-started/quickstart-py/>Quickstart (Python)</a></div><div class=footer__cols__col__link><a href=/get-started/quickstart-go/>Quickstart (Go)</a></div><div class=footer__cols__col__link><a href=/get-started/downloads/>Downloads</a></div></div><div class=footer__cols__col><div class=footer__cols__col__title>Docs</div><div class=footer__cols__col__link><a href=/documentation/programming-guide/>Concepts</a></div><div class=footer__cols__col__link><a href=/documentation/pipelines/design-your-pipeline/>Pipelines</a></div><div class=footer__cols__col__link><a href=/documentation/runners/capability-matrix/>Runners</a></div></div><div class=footer__cols__col><div class=footer__cols__col__title>Community</div><div class=footer__cols__col__link><a href=/contribute/>Contribute</a></div><div class=footer__cols__col__link><a href=https://projects.apache.org/committee.html?beam target=_blank>Team<img src=/images/external-link-icon.png width=14 height=14 alt="External link."></a></div><div class=footer__cols__col__link><a href=/community/presentation-materials/>Media</a></div><div class=footer__cols__col__link><a href=/community/in-person/>Events/Meetups</a></div><div class=footer__cols__col__link><a href=/community/contact-us/>Contact Us</a></div></div><div class=footer__cols__col><div class=footer__cols__col__title>Resources</div><div class=footer__cols__col__link><a href=/blog/>Blog</a></div><div class=footer__cols__col__link><a href=https://github.com/apache/beam>GitHub</a></div></div></div><div class=footer__bottom>&copy;
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