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requirements</a></li></ul></li></ul></li><li><a href=#execute-a-pipeline>Execute a pipeline</a></li><li><a href=#next-steps>Next Steps</a></li></ul></nav></nav><div class="body__contained body__section-nav"><h1 id=wordcount-quickstart-for-python>WordCount quickstart for Python</h1><p>This guide shows you how to set up your Python development environment, get the Apache Beam SDK for Python, and run an example pipeline.</p><p>If you’re interested in contributing to the Apache Beam Python codebase, see the <a href=/contribute>Contribution Guide</a>.</p><nav id=TableOfContents><ul><li><a href=#set-up-your-environment>Set up your environment</a></li><li><a href=#get-apache-beam>Get Apache Beam</a><ul><li><a href=#create-and-activate-a-virtual-environment>Create and activate a virtual environment</a></li><li><a href=#download-and-install>Download and install</a><ul><li><a href=#extra-requirements>Extra requirements</a></li></ul></li></ul></li><li><a href=#execute-a-pipeline>Execute a pipeline</a></li><li><a href=#next-steps>Next Steps</a></li></ul></nav><p>The Python SDK supports Python 3.8, 3.9, 3.10 and 3.11. Beam 2.48.0 was the last release with support for Python 3.7.</p><h2 id=set-up-your-environment>Set up your environment</h2><p>For details, see |
| <a href=/get-started/quickstart/python#set-up-your-development-environment>Set up your development environment</a>.</p><h2 id=get-apache-beam>Get Apache Beam</h2><h3 id=create-and-activate-a-virtual-environment>Create and activate a virtual environment</h3><p>A virtual environment is a directory tree containing its own Python distribution. To create a virtual environment, run:</p><div class='shell-unix snippet'><div class="notebook-skip code-snippet"><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 class=language-unix data-lang=unix>python -m venv /path/to/directory</code></pre></div></div><div class='shell-powerShell snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-powerShell data-lang=powerShell><span class=line><span class=cl><span class=n>PS</span><span class=p>></span> <span class=n>python</span> <span class=n>-m</span> <span class=n>venv</span> <span class=n>C:</span><span class=p>\</span><span class=n>path</span><span class=p>\</span><span class=n>to</span><span class=p>\</span><span class=n>directory</span></span></span></code></pre></div></div></div><p>A virtual environment needs to be activated for each shell that is to use it. |
| Activating it sets some environment variables that point to the virtual |
| environment’s directories.</p><p>To activate a virtual environment in Bash, run:</p><div class='shell-unix snippet'><div class="notebook-skip code-snippet"><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 class=language-unix data-lang=unix>. /path/to/directory/bin/activate</code></pre></div></div><div class='shell-powerShell snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-powerShell data-lang=powerShell><span class=line><span class=cl><span class=n>PS</span><span class=p>></span> <span class=n>C:</span><span class=p>\</span><span class=n>path</span><span class=p>\</span><span class=n>to</span><span class=p>\</span><span class=n>directory</span><span class=p>\</span><span class=n>Scripts</span><span class=p>\</span><span class=n>activate</span><span class=p>.</span><span class=n>ps1</span></span></span></code></pre></div></div></div><p>That is, execute the <code>activate</code> script under the virtual environment directory you created.</p><p>For instructions using other shells, see the <a href=https://docs.python.org/3/library/venv.html>venv documentation</a>.</p><h3 id=download-and-install>Download and install</h3><p>Install the latest Python SDK from PyPI:</p><div class='shell-unix snippet'><div class="notebook-skip code-snippet"><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 class=language-unix data-lang=unix>pip install apache-beam</code></pre></div></div><div class='shell-powerShell snippet'><div class="notebook-skip code-snippet"><a class=copy type=button data-bs-toggle=tooltip data-bs-placement=bottom title="Copy to clipboard"><img src=/images/copy-icon.svg></a><div class=highlight><pre tabindex=0 class=chroma><code class=language-powerShell data-lang=powerShell><span class=line><span class=cl><span class=n>PS</span><span class=p>></span> <span class=n>python</span> <span class=n>-m</span> <span class=n>pip</span> <span class=n>install</span> <span class=nb>apache-beam</span></span></span></code></pre></div></div></div><h4 id=extra-requirements>Extra requirements</h4><p>The above installation will not install all the extra dependencies for using features like the Google Cloud Dataflow runner. Information on what extra packages are required for different features are highlighted below. It is possible to install multiple extra requirements using something like <code>pip install 'apache-beam[feature1,feature2]'</code>.</p><ul><li><strong>Google Cloud Platform</strong><ul><li>Installation Command: <code>pip install 'apache-beam[gcp]'</code></li><li>Required for:<ul><li>Google Cloud Dataflow Runner</li><li>GCS IO</li><li>Datastore IO</li><li>BigQuery IO</li></ul></li></ul></li><li><strong>Amazon Web Services</strong><ul><li>Installation Command: <code>pip install 'apache-beam[aws]'</code></li><li>Required for I/O connectors interfacing with AWS</li></ul></li><li><strong>Microsoft Azure</strong><ul><li>Installation Command: <code>pip install 'apache-beam[azure]'</code></li><li>Required for I/O connectors interfacing with Microsoft Azure</li></ul></li><li><strong>Beam YAML API</strong><ul><li>Installation Command: <code>pip install 'apache-beam[yaml]'</code></li><li>Required for using <a href=/documentation/sdks/yaml/>Beam YAML API</a></li></ul></li><li><strong>Beam YAML Dataframe API</strong><ul><li>Installation Command: <code>pip install 'apache-beam[dataframe]'</code></li><li>Required for using <a href=/documentation/dsls/dataframes/overview/>Beam Dataframe API</a></li></ul></li><li><strong>Tests</strong><ul><li>Installation Command: <code>pip install 'apache-beam[test]'</code></li><li>Required for developing Beam and running unit tests</li></ul></li><li><strong>Docs</strong><ul><li>Installation Command: <code>pip install 'apache-beam[docs]'</code></li><li>Required for generating API documentation using Sphinx</li></ul></li></ul><h2 id=execute-a-pipeline>Execute a pipeline</h2><p>The Apache Beam <a href=https://github.com/apache/beam/tree/master/sdks/python/apache_beam/examples>examples</a> directory has many examples. All examples can be run locally by passing the required arguments described in the example script.</p><p>For example, run <code>wordcount.py</code> with the following command:</p><div class='runner-direct snippet'><div class="notebook-skip code-snippet"><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 class=language-direct data-lang=direct>python -m apache_beam.examples.wordcount --input /path/to/inputfile --output /path/to/write/counts</code></pre></div></div><div class='runner-flink snippet'><div class="notebook-skip code-snippet"><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 class=language-flink data-lang=flink>python -m apache_beam.examples.wordcount --input /path/to/inputfile \ |
| --output /path/to/write/counts \ |
| --runner FlinkRunner</code></pre></div></div><div class='runner-spark snippet'><div class="notebook-skip code-snippet"><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 class=language-spark data-lang=spark>python -m apache_beam.examples.wordcount --input /path/to/inputfile \ |
| --output /path/to/write/counts \ |
| --runner SparkRunner</code></pre></div></div><div class='runner-dataflow snippet'><div class="notebook-skip code-snippet"><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 class=language-dataflow data-lang=dataflow># As part of the initial setup, install Google Cloud Platform specific extra components. Make sure you |
| # complete the setup steps at /documentation/runners/dataflow/#setup |
| pip install apache-beam[gcp] |
| python -m apache_beam.examples.wordcount --input gs://dataflow-samples/shakespeare/kinglear.txt \ |
| --output gs://<your-gcs-bucket>/counts \ |
| --runner DataflowRunner \ |
| --project your-gcp-project \ |
| --region your-gcp-region \ |
| --temp_location gs://<your-gcs-bucket>/tmp/</code></pre></div></div><div class='runner-nemo snippet'><div class="notebook-skip code-snippet"><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 class=language-nemo data-lang=nemo>This runner is not yet available for the Python SDK.</code></pre></div></div><p>After the pipeline completes, you can view the output files at your specified |
| output path. For example, if you specify <code>/dir1/counts</code> for the <code>--output</code> |
| parameter, the pipeline writes the files to <code>/dir1/</code> and names the files |
| sequentially in the format <code>counts-0000-of-0001</code>.</p><h2 id=next-steps>Next Steps</h2><ul><li>Learn more about the <a href=/documentation/sdks/python/>Beam SDK for Python</a> |
| and look through the <a href=https://beam.apache.org/releases/pydoc>Python SDK API reference</a>.</li><li>Get <a href=/get-started/an-interactive-overview-of-beam>An Interactive Overview of Beam</a></li><li>Walk through these WordCount examples in the <a href=/get-started/wordcount-example>WordCount Example Walkthrough</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’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 2024/05/06</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>© |
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