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authorPatrick Wendell <pwendell@apache.org>2013-09-25 21:12:46 +0000
committerPatrick Wendell <pwendell@apache.org>2013-09-25 21:12:46 +0000
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<article class="page type-page status-publish hentry">
<h2>Spark Examples</h2>
-<p>Spark is built around <em>distributed datasets</em> that support types of parallel operations: transformations, which are lazy and yield another distributed dataset (e.g., <code>map</code>, <code>filter</code>, and <code>join</code>), and actions, which force the computation of a dataset and return a result (e.g., <code>count</code>). The following examples show off some of the available operations and features.</p>
+<p>Spark is built around <em>distributed datasets</em> that support types of parallel operations: transformations, which are lazy and yield another distributed dataset (e.g., <code>map</code>, <code>filter</code>, and <code>join</code>), and actions, which force the computation of a dataset and return a result (e.g., <code>count</code>). The following examples show off some of the available operations and features. Several additional examples are distributed with Spark, both for core Spark (<a href="https://github.com/apache/incubator-spark/tree/master/examples/src/main/scala/org/apache/spark/examples">Scala examples</a>, <a href="https://github.com/apache/incubator-spark/tree/master/examples/src/main/java/org/apache/spark/examples">Java examples</a>, <a href="https://github.com/apache/incubator-spark/tree/master/python/examples">Python examples</a>) and streaming Spark (<a href="https://github.com/apache/incubator-spark/tree/master/examples/src/main/scala/org/apache/spark/streaming/examples">Scala examples</a>, <a href="https://github.com/apache/incubator-spark/tree/master/examples/src/main/java/org/apache/spark/streaming/examples">Java examples</a>).</p>
<h3>Text Search</h3>