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authorReynold Xin <rxin@apache.org>2015-09-17 22:11:21 +0000
committerReynold Xin <rxin@apache.org>2015-09-17 22:11:21 +0000
commit6f57b0c45a7d1b6255067c6e9bc549baa491acac (patch)
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+ <h1 class="title">Using Spark's "Hadoop Free" Build</h1>
+
+
+ <p>Spark uses Hadoop client libraries for HDFS and YARN. Starting in version Spark 1.4, the project packages &#8220;Hadoop free&#8221; builds that lets you more easily connect a single Spark binary to any Hadoop version. To use these builds, you need to modify <code>SPARK_DIST_CLASSPATH</code> to include Hadoop&#8217;s package jars. The most convenient place to do this is by adding an entry in <code>conf/spark-env.sh</code>.</p>
+
+<p>This page describes how to connect Spark to Hadoop for different types of distributions.</p>
+
+<h1 id="apache-hadoop">Apache Hadoop</h1>
+<p>For Apache distributions, you can use Hadoop&#8217;s &#8216;classpath&#8217; command. For instance:</p>
+
+<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span class="c">### in conf/spark-env.sh ###</span>
+
+<span class="c"># If &#39;hadoop&#39; binary is on your PATH</span>
+<span class="nb">export </span><span class="nv">SPARK_DIST_CLASSPATH</span><span class="o">=</span><span class="k">$(</span>hadoop classpath<span class="k">)</span>
+
+<span class="c"># With explicit path to &#39;hadoop&#39; binary</span>
+<span class="nb">export </span><span class="nv">SPARK_DIST_CLASSPATH</span><span class="o">=</span><span class="k">$(</span>/path/to/hadoop/bin/hadoop classpath<span class="k">)</span>
+
+<span class="c"># Passing a Hadoop configuration directory</span>
+<span class="nb">export </span><span class="nv">SPARK_DIST_CLASSPATH</span><span class="o">=</span><span class="k">$(</span>hadoop --config /path/to/configs classpath<span class="k">)</span></code></pre></div>
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