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class="navGroups"><div class="navGroup"><h3 class="navGroupCategoryTitle collapsible">Getting started<span class="arrow"><svg width="24" height="24" viewBox="0 0 24 24"><path fill="#565656" d="M7.41 15.41L12 10.83l4.59 4.58L18 14l-6-6-6 6z"></path><path d="M0 0h24v24H0z" fill="none"></path></svg></span></h3><ul class="hide"><li class="navListItem"><a class="navItem" href="/docs/26.0.0/design/index.html">Introduction to Apache Druid</a></li><li class="navListItem"><a class="navItem" href="/docs/26.0.0/tutorials/index.html">Quickstart (local)</a></li><li class="navListItem"><a class="navItem" href="/docs/26.0.0/operations/single-server.html">Single server deployment</a></li><li class="navListItem"><a class="navItem" href="/docs/26.0.0/tutorials/cluster.html">Clustered deployment</a></li></ul></div><div class="navGroup"><h3 class="navGroupCategoryTitle collapsible">Tutorials<span class="arrow"><svg width="24" height="24" viewBox="0 0 24 24"><path fill="#565656" d="M7.41 15.41L12 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href="/docs/26.0.0/querying/sorting-orders.html">String comparators</a></li><li class="navListItem"><a class="navItem" href="/docs/26.0.0/querying/virtual-columns.html">Virtual columns</a></li><li class="navListItem"><a class="navItem" href="/docs/26.0.0/development/geo.html">Spatial filters</a></li></ul></div></ul></div><div class="navGroup"><h3 class="navGroupCategoryTitle collapsible">Configuration<span class="arrow"><svg width="24" height="24" viewBox="0 0 24 24"><path fill="#565656" d="M7.41 15.41L12 10.83l4.59 4.58L18 14l-6-6-6 6z"></path><path d="M0 0h24v24H0z" fill="none"></path></svg></span></h3><ul class="hide"><li class="navListItem"><a class="navItem" href="/docs/26.0.0/configuration/index.html">Configuration reference</a></li><li class="navListItem"><a class="navItem" href="/docs/26.0.0/development/extensions.html">Extensions</a></li><li class="navListItem"><a class="navItem" href="/docs/26.0.0/configuration/logging.html">Logging</a></li></ul></div><div 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<p>Apache Druid provides a custom Jupyter container that contains the prerequisites
for all Jupyter-based Druid tutorials, as well as all of the tutorials themselves.
You can run the Jupyter container, as well as containers for Druid and Apache Kafka,
using the Docker Compose file provided in the Druid GitHub repository.</p>
<p>You can run the following combination of applications:</p>
<ul>
<li><a href="#start-only-the-jupyter-container">Jupyter only</a></li>
<li><a href="#start-jupyter-and-druid">Jupyter and Druid</a></li>
<li><a href="#start-jupyter-druid-and-kafka">Jupyter, Druid, and Kafka</a></li>
</ul>
<h2><a class="anchor" aria-hidden="true" id="prerequisites"></a><a href="#prerequisites" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Prerequisites</h2>
<p>Jupyter in Docker requires that you have <strong>Docker</strong> and <strong>Docker Compose</strong>.
We recommend installing these through <a href="https://docs.docker.com/desktop/">Docker Desktop</a>.</p>
<h2><a class="anchor" aria-hidden="true" id="launch-the-docker-containers"></a><a href="#launch-the-docker-containers" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Launch the Docker containers</h2>
<p>You run Docker Compose to launch Jupyter and optionally Druid or Kafka.
Docker Compose references the configuration in <code>docker-compose.yaml</code>.
Running Druid in Docker also requires the <code>environment</code> file, which
sets the configuration properties for the Druid services.
To get started, download both <code>docker-compose.yaml</code> and <code>environment</code> from
<a href="https://github.com/apache/druid/blob/master/examples/quickstart/jupyter-notebooks/docker-jupyter/tutorial-jupyter-docker.zip"><code>tutorial-jupyter-docker.zip</code></a>.</p>
<p>Alternatively, you can clone the <a href="https://github.com/apache/druid">Apache Druid repo</a> and
access the files in <code>druid/examples/quickstart/jupyter-notebooks/docker-jupyter</code>.</p>
<h3><a class="anchor" aria-hidden="true" id="start-only-the-jupyter-container"></a><a href="#start-only-the-jupyter-container" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Start only the Jupyter container</h3>
<p>If you already have Druid running locally, you can run only the Jupyter container to complete the tutorials.
In the same directory as <code>docker-compose.yaml</code>, start the application:</p>
<pre><code class="hljs css language-bash">docker compose --profile jupyter up -d
</code></pre>
<p>The Docker Compose file assigns <code>8889</code> for the Jupyter port.
You can override the port number by setting the <code>JUPYTER_PORT</code> environment variable before starting the Docker application.</p>
<h3><a class="anchor" aria-hidden="true" id="start-jupyter-and-druid"></a><a href="#start-jupyter-and-druid" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Start Jupyter and Druid</h3>
<p>Running Druid in Docker requires the <code>environment</code> file as well as an environment variable named <code>DRUID_VERSION</code>,
which determines the version of Druid to use. The Druid version references the Docker tag to pull from the
<a href="https://hub.docker.com/r/apache/druid/tags">Apache Druid Docker Hub</a>.</p>
<p>In the same directory as <code>docker-compose.yaml</code> and <code>environment</code>, start the application:</p>
<pre><code class="hljs css language-bash">DRUID_VERSION=26.0.0 docker compose --profile druid-jupyter up -d
</code></pre>
<h3><a class="anchor" aria-hidden="true" id="start-jupyter-druid-and-kafka"></a><a href="#start-jupyter-druid-and-kafka" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Start Jupyter, Druid, and Kafka</h3>
<p>Running Druid in Docker requires the <code>environment</code> file as well as the <code>DRUID_VERSION</code> environment variable.</p>
<p>In the same directory as <code>docker-compose.yaml</code> and <code>environment</code>, start the application:</p>
<pre><code class="hljs css language-bash">DRUID_VERSION=26.0.0 docker compose --profile all-services up -d
</code></pre>
<h3><a class="anchor" aria-hidden="true" id="update-image-from-docker-hub"></a><a href="#update-image-from-docker-hub" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Update image from Docker Hub</h3>
<p>If you already have a local cache of the Jupyter image, you can update the image before running the application using the following command:</p>
<pre><code class="hljs css language-bash">docker compose pull jupyter
</code></pre>
<h3><a class="anchor" aria-hidden="true" id="use-locally-built-image"></a><a href="#use-locally-built-image" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Use locally built image</h3>
<p>The default Docker Compose file pulls the custom Jupyter Notebook image from a third party Docker Hub.
If you prefer to build the image locally from the official source, do the following:</p>
<ol>
<li>Clone the Apache Druid repository.</li>
<li>Navigate to <code>examples/quickstart/jupyter-notebooks/docker-jupyter</code>.</li>
<li>Start the services using <code>-f docker-compose-local.yaml</code> in the <code>docker compose</code> command. For example:</li>
</ol>
<pre><code class="hljs css language-bash">DRUID_VERSION=26.0.0 docker compose --profile all-services -f docker-compose-local.yaml up -d
</code></pre>
<h2><a class="anchor" aria-hidden="true" id="access-jupyter-based-tutorials"></a><a href="#access-jupyter-based-tutorials" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Access Jupyter-based tutorials</h2>
<p>The following steps show you how to access the Jupyter notebook tutorials from the Docker container.
At startup, Docker creates and mounts a volume to persist data from the container to your local machine.
This way you can save your work completed within the Docker container.</p>
<ol>
<li><p>Navigate to the notebooks at <a href="http://localhost:8889">http://localhost:8889</a>.</p>
<blockquote>
<p>If you set <code>JUPYTER_PORT</code> to another port number, replace <code>8889</code> with the value of the Jupyter port.</p>
</blockquote></li>
<li><p>Select a tutorial. If you don't plan to save your changes, you can use the notebook directly as is. Otherwise, continue to the next step.</p></li>
<li><p>Optional: To save a local copy of your tutorial work,
select <strong>File &gt; Save as...</strong> from the navigation menu. Then enter <code>work/&lt;notebook name&gt;.ipynb</code>.
If the notebook still displays as read only, you may need to refresh the page in your browser.
Access the saved files in the <code>notebooks</code> folder in your local working directory.</p></li>
</ol>
<h2><a class="anchor" aria-hidden="true" id="view-the-druid-web-console"></a><a href="#view-the-druid-web-console" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>View the Druid web console</h2>
<p>To access the Druid web console in Docker, go to <a href="http://localhost:8888/unified-console.html">http://localhost:8888/unified-console.html</a>.
Use the web console to view datasources and ingestion tasks that you create in the tutorials.</p>
<h2><a class="anchor" aria-hidden="true" id="stop-docker-containers"></a><a href="#stop-docker-containers" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Stop Docker containers</h2>
<p>Shut down the Docker application using the following command:</p>
<pre><code class="hljs css language-bash">docker compose down -v
</code></pre>
<h2><a class="anchor" aria-hidden="true" id="tutorial-setup-without-using-docker"></a><a href="#tutorial-setup-without-using-docker" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Tutorial setup without using Docker</h2>
<p>To use the Jupyter Notebook-based tutorials without using Docker, do the following:</p>
<ol>
<li><p>Clone the Apache Druid repo, or download the <a href="/docs/26.0.0/tutorials/tutorial-jupyter-index.html#tutorials">tutorials</a>
as well as the <a href="/docs/26.0.0/tutorials/tutorial-jupyter-index.html#python-api-for-druid">Python client for Druid</a>.</p></li>
<li><p>Install the prerequisite Python packages with the following commands:</p>
<pre><code class="hljs css language-bash"><span class="hljs-comment"># Install requests</span>
pip install requests
</code></pre>
<pre><code class="hljs css language-bash"><span class="hljs-comment"># Install JupyterLab</span>
pip install jupyterlab
<span class="hljs-comment"># Install Jupyter Notebook</span>
pip install notebook
</code></pre>
<p>Individual notebooks may list additional packages you need to install to complete the tutorial.</p></li>
<li><p>In your Druid source repo, install <code>druidapi</code> with the following commands:</p>
<pre><code class="hljs css language-bash"><span class="hljs-built_in">cd</span> examples/quickstart/jupyter-notebooks/druidapi
pip install .
</code></pre></li>
<li><p>Start Jupyter, in the same directory as the tutorials, using either JupyterLab or Jupyter Notebook:</p>
<pre><code class="hljs css language-bash"><span class="hljs-comment"># Start JupyterLab on port 3001</span>
jupyter lab --port 3001
<span class="hljs-comment"># Start Jupyter Notebook on port 3001</span>
jupyter notebook --port 3001
</code></pre></li>
<li><p>Start Druid. You can use the <a href="/docs/26.0.0/tutorials/index.html">Quickstart (local)</a> instance. The tutorials
assume that you are using the quickstart, so no authentication or authorization
is expected unless explicitly mentioned.</p>
<p>If you contribute to Druid, and work with Druid integration tests, you can use a test cluster.
Assume you have an environment variable, <code>DRUID_DEV</code>, which identifies your Druid source repo.</p>
<pre><code class="hljs css language-bash"><span class="hljs-built_in">cd</span> <span class="hljs-variable">$DRUID_DEV</span>
./it.sh build
./it.sh image
./it.sh up &lt;category&gt;
</code></pre>
<p>Replace <code>&lt;category&gt;</code> with one of the available integration test categories. See the integration
test <code>README.md</code> for details.</p></li>
</ol>
<p>You should now be able to access and complete the tutorials.</p>
<h2><a class="anchor" aria-hidden="true" id="learn-more"></a><a href="#learn-more" aria-hidden="true" class="hash-link"><svg class="hash-link-icon" aria-hidden="true" height="16" version="1.1" viewBox="0 0 16 16" width="16"><path fill-rule="evenodd" d="M4 9h1v1H4c-1.5 0-3-1.69-3-3.5S2.55 3 4 3h4c1.45 0 3 1.69 3 3.5 0 1.41-.91 2.72-2 3.25V8.59c.58-.45 1-1.27 1-2.09C10 5.22 8.98 4 8 4H4c-.98 0-2 1.22-2 2.5S3 9 4 9zm9-3h-1v1h1c1 0 2 1.22 2 2.5S13.98 12 13 12H9c-.98 0-2-1.22-2-2.5 0-.83.42-1.64 1-2.09V6.25c-1.09.53-2 1.84-2 3.25C6 11.31 7.55 13 9 13h4c1.45 0 3-1.69 3-3.5S14.5 6 13 6z"></path></svg></a>Learn more</h2>
<p>See the following topics for more information:</p>
<ul>
<li><a href="/docs/26.0.0/tutorials/tutorial-jupyter-index.html">Jupyter Notebook tutorials</a> for the available Jupyter Notebook-based tutorials for Druid</li>
<li><a href="/docs/26.0.0/tutorials/docker.html">Tutorial: Run with Docker</a> for running Druid from a Docker container</li>
</ul>
</span></div></article></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/26.0.0/tutorials/tutorial-jupyter-index.html"><span class="arrow-prev">← </span><span>Jupyter Notebook tutorials</span></a><a class="docs-next button" href="/docs/26.0.0/tutorials/tutorial-jdbc.html"><span>JDBC connector</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#prerequisites">Prerequisites</a></li><li><a href="#launch-the-docker-containers">Launch the Docker containers</a><ul class="toc-headings"><li><a href="#start-only-the-jupyter-container">Start only the Jupyter container</a></li><li><a href="#start-jupyter-and-druid">Start Jupyter and Druid</a></li><li><a href="#start-jupyter-druid-and-kafka">Start Jupyter, Druid, and Kafka</a></li><li><a href="#update-image-from-docker-hub">Update image from Docker Hub</a></li><li><a href="#use-locally-built-image">Use locally built image</a></li></ul></li><li><a href="#access-jupyter-based-tutorials">Access Jupyter-based tutorials</a></li><li><a href="#view-the-druid-web-console">View the Druid web console</a></li><li><a href="#stop-docker-containers">Stop Docker containers</a></li><li><a href="#tutorial-setup-without-using-docker">Tutorial setup without using Docker</a></li><li><a href="#learn-more">Learn more</a></li></ul></nav></div><footer class="nav-footer druid-footer" id="footer"><div class="container"><div class="text-center"><p><a href="/technology">Technology</a> · <a href="/use-cases">Use Cases</a> · <a href="/druid-powered">Powered by Druid</a> · <a href="/docs/26.0.0/">Docs</a> · <a href="/community/">Community</a> · <a href="/downloads.html">Download</a> · <a href="/faq">FAQ</a></p></div><div class="text-center"><a title="Join the user group" href="https://groups.google.com/forum/#!forum/druid-user" target="_blank"><span class="fa fa-comments"></span></a> · <a title="Follow Druid" href="https://twitter.com/druidio" target="_blank"><span class="fab fa-twitter"></span></a> · <a title="Download via Apache" href="https://www.apache.org/dyn/closer.cgi?path=/incubator/druid/{{ site.druid_versions[0].versions[0].version }}/apache-druid-{{ site.druid_versions[0].versions[0].version }}-bin.tar.gz" target="_blank"><span class="fas fa-feather"></span></a> · <a title="GitHub" href="https://github.com/apache/druid" target="_blank"><span class="fab fa-github"></span></a></div><div class="text-center license">Copyright © 2022 <a href="https://www.apache.org/" target="_blank">Apache Software Foundation</a>.<br/>Except where otherwise noted, licensed under <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA 4.0</a>.<br/>Apache Druid, Druid, and the Druid logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</div></div></footer></div><script type="text/javascript" src="https://cdn.jsdelivr.net/npm/docsearch.js@2/dist/cdn/docsearch.min.js"></script><script>
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