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<a href=https://github.com/apache/beam-starter-java>example pipeline</a> written with
the <a href=/documentation/sdks/java>Apache Beam Java SDK</a>, using the
<a href=/documentation/runners/direct/>Direct Runner</a>. The Direct Runner executes
pipelines locally on your machine.</p><p>If you&rsquo;re interested in contributing to the Apache Beam Java codebase, see the
<a href=/contribute>Contribution Guide</a>.</p><p>On this page:</p><nav id=TableOfContents><ul><li><a href=#set-up-your-development-environment>Set up your development environment</a></li><li><a href=#clone-the-github-repository>Clone the GitHub repository</a></li><li><a href=#run-the-quickstart>Run the quickstart</a></li><li><a href=#explore-the-code>Explore the code</a><ul><li><a href=#create-a-pipeline>Create a pipeline</a></li><li><a href=#create-an-initial-pcollection>Create an initial PCollection</a></li><li><a href=#apply-a-transform-to-the-pcollection>Apply a transform to the PCollection</a></li><li><a href=#run-the-pipeline>Run the pipeline</a></li></ul></li><li><a href=#next-steps>Next Steps</a></li></ul></nav><h2 id=set-up-your-development-environment>Set up your development environment</h2><p>Use <a href=https://sdkman.io/><code>sdkman</code></a> to install the Java Development Kit (JDK).</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code># Install sdkman
curl -s &#34;https://get.sdkman.io&#34; | bash
# Install Java 17
sdk install java 17.0.5-tem</code></pre></div></div><p>You can use either <a href=https://gradle.org/>Gradle</a> or
<a href=https://maven.apache.org/>Apache Maven</a> to run this quickstart:</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code># Install Gradle
sdk install gradle
# Install Maven
sdk install maven</code></pre></div></div><h2 id=clone-the-github-repository>Clone the GitHub repository</h2><p>Clone or download the
<a href=https://github.com/apache/beam-starter-java>apache/beam-starter-java</a> GitHub
repository and change into the <code>beam-starter-java</code> directory.</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code>git clone https://github.com/apache/beam-starter-java.git
cd beam-starter-java</code></pre></div></div><h2 id=run-the-quickstart>Run the quickstart</h2><p><strong>Gradle</strong>: To run the quickstart with Gradle, run the following command:</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code>gradle run --args=&#39;--inputText=Greetings&#39;</code></pre></div></div><p><strong>Maven</strong>: To run the quickstart with Maven, run the following command:</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code>mvn compile exec:java -Dexec.args=--inputText=&#39;Greetings&#39;</code></pre></div></div><p>The output is similar to the following:</p><div class=snippet><div class="notebook-skip code-snippet without_switcher"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><pre tabindex=0><code>Hello
World!
Greetings</code></pre></div></div><p>The lines might appear in a different order.</p><h2 id=explore-the-code>Explore the code</h2><p>The main code file for this quickstart is <strong>App.java</strong>
(<a href=https://github.com/apache/beam-starter-java/blob/main/src/main/java/com/example/App.java>GitHub</a>).
The code performs the following steps:</p><ol><li>Create a Beam pipeline.</li><li>Create an initial <code>PCollection</code>.</li><li>Apply a transform to the <code>PCollection</code>.</li><li>Run the pipeline, using the Direct Runner.</li></ol><h3 id=create-a-pipeline>Create a pipeline</h3><p>The code first creates a <code>Pipeline</code> object. The <code>Pipeline</code> object builds up the
graph of transformations to be executed.</p><div class=highlight><pre tabindex=0 class=chroma><code class=language-java data-lang=java><span class=line><span class=cl><span class=n>var</span> <span class=n>options</span> <span class=o>=</span> <span class=n>PipelineOptionsFactory</span><span class=o>.</span><span class=na>fromArgs</span><span class=o>(</span><span class=n>args</span><span class=o>).</span><span class=na>withValidation</span><span class=o>().</span><span class=na>as</span><span class=o>(</span><span class=n>Options</span><span class=o>.</span><span class=na>class</span><span class=o>);</span>
</span></span><span class=line><span class=cl><span class=n>var</span> <span class=n>pipeline</span> <span class=o>=</span> <span class=n>Pipeline</span><span class=o>.</span><span class=na>create</span><span class=o>(</span><span class=n>options</span><span class=o>);</span>
</span></span></code></pre></div><p>The <code>PipelineOptions</code> object lets you set various options for the pipeline. The
<code>fromArgs</code> method shown in this example parses command-line arguments, which
lets you set pipeline options through the command line.</p><h3 id=create-an-initial-pcollection>Create an initial PCollection</h3><p>The <code>PCollection</code> abstraction represents a potentially distributed,
multi-element data set. A Beam pipeline needs a source of data to populate an
initial <code>PCollection</code>. The source can be bounded (with a known, fixed size) or
unbounded (with unlimited size).</p><p>This example uses the
<a href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/transforms/Create.html><code>Create.of</code></a>
method to create a <code>PCollection</code> from an in-memory array of strings. The
resulting <code>PCollection</code> contains the strings &ldquo;Hello&rdquo;, &ldquo;World!&rdquo;, and a
user-provided input string.</p><div class=highlight><pre tabindex=0 class=chroma><code class=language-java data-lang=java><span class=line><span class=cl><span class=k>return</span> <span class=n>pipeline</span>
</span></span><span class=line><span class=cl> <span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>&#34;Create elements&#34;</span><span class=o>,</span> <span class=n>Create</span><span class=o>.</span><span class=na>of</span><span class=o>(</span><span class=n>Arrays</span><span class=o>.</span><span class=na>asList</span><span class=o>(</span><span class=s>&#34;Hello&#34;</span><span class=o>,</span> <span class=s>&#34;World!&#34;</span><span class=o>,</span> <span class=n>inputText</span><span class=o>)))</span>
</span></span></code></pre></div><h3 id=apply-a-transform-to-the-pcollection>Apply a transform to the PCollection</h3><p>Transforms can change, filter, group, analyze, or otherwise process the
elements in a <code>PCollection</code>. This example uses the
<a href=https://beam.apache.org/releases/javadoc/current/org/apache/beam/sdk/transforms/MapElements.html><code>MapElements</code></a>
transform, which maps the elements of a collection into a new collection:</p><div class=highlight><pre tabindex=0 class=chroma><code class=language-java data-lang=java><span class=line><span class=cl><span class=o>.</span><span class=na>apply</span><span class=o>(</span><span class=s>&#34;Print elements&#34;</span><span class=o>,</span>
</span></span><span class=line><span class=cl> <span class=n>MapElements</span><span class=o>.</span><span class=na>into</span><span class=o>(</span><span class=n>TypeDescriptors</span><span class=o>.</span><span class=na>strings</span><span class=o>()).</span><span class=na>via</span><span class=o>(</span><span class=n>x</span> <span class=o>-&gt;</span> <span class=o>{</span>
</span></span><span class=line><span class=cl> <span class=n>System</span><span class=o>.</span><span class=na>out</span><span class=o>.</span><span class=na>println</span><span class=o>(</span><span class=n>x</span><span class=o>);</span>
</span></span><span class=line><span class=cl> <span class=k>return</span> <span class=n>x</span><span class=o>;</span>
</span></span><span class=line><span class=cl> <span class=o>}));</span>
</span></span></code></pre></div><p>where</p><ul><li><code>into</code> specifies the data type for the elements in the output collection.</li><li><code>via</code> defines a mapping function that is called on each element of the input
collection to create the output collection.</li></ul><p>In this example, the mapping function is a lambda that just returns the
original value. It also prints the value to <code>System.out</code> as a side effect.</p><h3 id=run-the-pipeline>Run the pipeline</h3><p>The code shown in the previous sections defines a pipeline, but does not
process any data yet. To process data, you run the pipeline:</p><div class=highlight><pre tabindex=0 class=chroma><code class=language-java data-lang=java><span class=line><span class=cl><span class=n>pipeline</span><span class=o>.</span><span class=na>run</span><span class=o>().</span><span class=na>waitUntilFinish</span><span class=o>();</span>
</span></span></code></pre></div><p>A Beam <a href=/documentation/basics/#runner>runner</a> runs a
Beam pipeline on a specific platform. This example uses the
<a href=https://beam.apache.org/releases/javadoc/2.3.0/org/apache/beam/runners/direct/DirectRunner.html>Direct Runner</a>,
which is the default runner if you don&rsquo;t specify one. The Direct Runner runs
the pipeline locally on your machine. It is meant for testing and development,
rather than being optimized for efficiency. For more information, see
<a href=/documentation/runners/direct/>Using the Direct Runner</a>.</p><p>For production workloads, you typically use a distributed runner that runs the
pipeline on a big data processing system such as Apache Flink, Apache Spark, or
Google Cloud Dataflow. These systems support massively parallel processing.</p><h2 id=next-steps>Next Steps</h2><ul><li>Learn more about the <a href=/documentation/sdks/java/>Beam SDK for Java</a>
and look through the
<a href=https://beam.apache.org/releases/javadoc>Java SDK API reference</a>.</li><li>Take a self-paced tour through our
<a href=/documentation/resources/learning-resources>Learning Resources</a>.</li><li>Dive in to some of our favorite
<a href=/get-started/resources/videos-and-podcasts>Videos and Podcasts</a>.</li><li>Join the Beam <a href=/community/contact-us>users@</a> mailing list.</li></ul><p>Please don&rsquo;t hesitate to <a href=/community/contact-us>reach out</a> if you encounter any
issues!</p><div class=feedback><p class=update>Last updated on 2024/05/03</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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