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padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs" itemscope="" itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Tutorials</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Load from Apache Kafka</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Load streaming data from Apache Kafka</h1></header><p>This tutorial shows you how to load data into Apache Druid from a Kafka stream, using Druid's Kafka indexing service. </p><p>The tutorial guides you through the steps to load sample nested clickstream data from the <a href="https://www.koalastothemax.com/" target="_blank" rel="noopener noreferrer">Koalas to the Max</a> game into a Kafka topic, then ingest the data into Druid.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites"></a></h2><p>Before you follow the steps in this tutorial, download Druid as described in the <a href="/docs/latest/tutorials/">quickstart</a> using the <a href="/docs/latest/operations/single-server">automatic single-machine configuration</a> and have it running on your local machine. You don't need to have loaded any data.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="download-and-start-kafka">Download and start Kafka<a href="#download-and-start-kafka" class="hash-link" aria-label="Direct link to Download and start Kafka" title="Direct link to Download and start Kafka"></a></h2><p><a href="http://kafka.apache.org/" target="_blank" rel="noopener noreferrer">Apache Kafka</a> is a high-throughput message bus that works well with Druid. For this tutorial, use Kafka 2.7.0. </p><ol><li><p>To download Kafka, run the following commands in your terminal:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token function" style="color:rgb(130, 170, 255)">curl</span><span class="token plain"> -O https://archive.apache.org/dist/kafka/2.7.0/kafka_2.13-2.7.0.tgz</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></span><span class="token function" style="color:rgb(130, 170, 255)">tar</span><span class="token plain"> -xzf kafka_2.13-2.7.0.tgz</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></span><span class="token builtin class-name" style="color:rgb(255, 203, 107)">cd</span><span class="token plain"> kafka_2.13-2.7.0</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></li><li><p>If you're already running Kafka on the machine you're using for this tutorial, delete or rename the <code>kafka-logs</code> directory in <code>/tmp</code>.</p></li></ol><div class="theme-admonition theme-admonition-info alert alert--info admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_S0QG"><p> Druid and Kafka both rely on <a href="https://zookeeper.apache.org/" target="_blank" rel="noopener noreferrer">Apache ZooKeeper</a> to coordinate and manage services. Because Druid is already running, Kafka attaches to the Druid ZooKeeper instance when it starts up.<br></p><p> In a production environment where you're running Druid and Kafka on different machines, <a href="https://kafka.apache.org/quickstart" target="_blank" rel="noopener noreferrer">start the Kafka ZooKeeper</a> before you start the Kafka broker.</p></div></div><ol start="3"><li><p>In the Kafka root directory, run this command to start a Kafka broker:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">./bin/kafka-server-start.sh config/server.properties</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></li><li><p>In a new terminal window, navigate to the Kafka root directory and run the following command to create a Kafka topic called <code>kttm</code>:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">./bin/kafka-topics.sh --create --topic kttm --bootstrap-server localhost:9092</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>Kafka returns a message when it successfully adds the topic: <code>Created topic kttm</code>.</p></li></ol><h2 class="anchor anchorWithStickyNavbar_LWe7" id="load-data-into-kafka">Load data into Kafka<a href="#load-data-into-kafka" class="hash-link" aria-label="Direct link to Load data into Kafka" title="Direct link to Load data into Kafka"></a></h2><p>In this section, you download sample data to the tutorial's directory and send the data to your Kafka topic.</p><ol><li><p>In your Kafka root directory, create a directory for the sample data:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token function" style="color:rgb(130, 170, 255)">mkdir</span><span class="token plain"> sample-data</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></li><li><p>Download the sample data to your new directory and extract it:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token builtin class-name" style="color:rgb(255, 203, 107)">cd</span><span class="token plain"> sample-data</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></span><span class="token function" style="color:rgb(130, 170, 255)">curl</span><span class="token plain"> -O https://static.imply.io/example-data/kttm-nested-v2/kttm-nested-v2-2019-08-25.json.gz</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></li><li><p>In your Kafka root directory, run the following commands to post sample events to the <code>kttm</code> Kafka topic:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token builtin class-name" style="color:rgb(255, 203, 107)">export</span><span class="token plain"> </span><span class="token assign-left variable" style="color:rgb(191, 199, 213)">KAFKA_OPTS</span><span class="token operator" style="color:rgb(137, 221, 255)">=</span><span class="token string" style="color:rgb(195, 232, 141)">"-Dfile.encoding=UTF-8"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">gzcat ./sample-data/kttm-nested-v2-2019-08-25.json.gz </span><span class="token operator" style="color:rgb(137, 221, 255)">|</span><span class="token plain"> ./bin/kafka-console-producer.sh --broker-list localhost:9092 --topic kttm</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></li></ol><h2 class="anchor anchorWithStickyNavbar_LWe7" id="load-data-into-druid">Load data into Druid<a href="#load-data-into-druid" class="hash-link" aria-label="Direct link to Load data into Druid" title="Direct link to Load data into Druid"></a></h2><p>Now that you have data in your Kafka topic, you can use Druid's Kafka indexing service to ingest the data into Druid. </p><p>To do this, you can use the Druid console data loader or you can submit a supervisor spec. Follow the steps below to try each method.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="load-data-with-the-console-data-loader">Load data with the console data loader<a href="#load-data-with-the-console-data-loader" class="hash-link" aria-label="Direct link to Load data with the console data loader" title="Direct link to Load data with the console data loader"></a></h3><p>The Druid console data loader presents you with several screens to configure each section of the supervisor spec, then creates an ingestion task to ingest the Kafka data. </p><p>To use the console data loader:</p><ol><li><p>Navigate to <a href="http://localhost:8888" target="_blank" rel="noopener noreferrer">localhost:8888</a> and click <strong>Load data > Streaming</strong>.</p><p><img loading="lazy" alt="Data loader init" src="/assets/images/tutorial-kafka-data-loader-01-de140d7670cbefc01f4b3fe4d85b3b3d.png" title="Data loader init" width="1250" height="640" class="img_ev3q"></p></li><li><p>Click <strong>Apache Kafka</strong> and then <strong>Connect data</strong>.</p></li><li><p>Enter <code>localhost:9092</code> as the bootstrap server and <code>kttm</code> as the topic, then click <strong>Apply</strong> and make sure you see data similar to the following:</p><p><img loading="lazy" alt="Data loader sample" src="/assets/images/tutorial-kafka-data-loader-02-8785108e4afd995cfd86f8bf6d700c08.png" title="Data loader sample" width="1250" height="640" class="img_ev3q"></p></li><li><p>Click <strong>Next: Parse data</strong>.</p><p><img loading="lazy" alt="Data loader parse data" src="/assets/images/tutorial-kafka-data-loader-03-6aaa78a9b8e65e5b9096ea22513528d0.png" title="Data loader parse data" width="1250" height="640" class="img_ev3q"></p><p>The data loader automatically tries to determine the correct parser for the data. For the sample data, it selects input format <code>json</code>. You can play around with the different options to get a preview of how Druid parses your data.</p></li><li><p>With the <code>json</code> input format selected, click <strong>Next: Parse time</strong>. You may need to click <strong>Apply</strong> first.</p><p><img loading="lazy" alt="Data loader parse time" src="/assets/images/tutorial-kafka-data-loader-04-7d140b6240d194151ff0c65dbb00a1ca.png" title="Data loader parse time" width="1250" height="640" class="img_ev3q"></p><p>Druid's architecture requires that you specify a primary timestamp column. Druid stores the timestamp in the <code>__time</code> column in your Druid datasource. |
| In a production environment, if you don't have a timestamp in your data, you can select <strong>Parse timestamp from:</strong> <code>None</code> to use a placeholder value. </p><p>For the sample data, the data loader selects the <code>timestamp</code> column in the raw data as the primary time column.</p></li><li><p>Click <strong>Next: ...</strong> three times to go past the <strong>Transform</strong> and <strong>Filter</strong> steps to <strong>Configure schema</strong>. You don't need to enter anything in these two steps because applying transforms and filters is out of scope for this tutorial.</p><p><img loading="lazy" alt="Data loader schema" src="/assets/images/tutorial-kafka-data-loader-05-6644ee93e8235e1347ef045ce13ac9f2.png" title="Data loader schema" width="1250" height="640" class="img_ev3q"></p></li><li><p>In the <strong>Configure schema</strong> step, you can select data types for the columns and configure <a href="/docs/latest/ingestion/schema-model#dimensions">dimensions</a> and <a href="/docs/latest/ingestion/schema-model#metrics">metrics</a> to ingest into Druid. The console does most of this for you, but you need to create JSON-type dimensions for the three nested columns in the data. </p><p>Click <strong>Add dimension</strong> and enter the following information. You can only add one dimension at a time.</p><ul><li>Name: <code>event</code>, Type: <code>json</code></li><li>Name: <code>agent</code>, Type: <code>json</code></li><li>Name: <code>geo_ip</code>, Type: <code>json</code></li></ul><p>After you create the dimensions, you can scroll to the right in the preview window to see the nested columns:</p><p><img loading="lazy" alt="Nested columns schema" src="/assets/images/tutorial-kafka-data-loader-05b-e55c9e613d9a8f0cdc25942ce4c3ef5a.png" title="Nested columns schema" width="1250" height="640" class="img_ev3q"></p></li><li><p>Click <strong>Next: Partition</strong> to configure how Druid partitions the data into segments.</p><p><img loading="lazy" alt="Data loader partition" src="/assets/images/tutorial-kafka-data-loader-06-40677bfad6c763bb5e9b194ecd4adf73.png" title="Data loader partition" width="1250" height="640" class="img_ev3q"></p></li><li><p>Select <code>day</code> as the <strong>Segment granularity</strong>. Since this is a small dataset, you don't need to make any further adjustments. Click <strong>Next: Tune</strong> to fine tune how Druid ingests data.</p><p><img loading="lazy" alt="Data loader tune" src="/assets/images/tutorial-kafka-data-loader-07-3b52de9fd7bff202da8c2a939c2c83b8.png" title="Data loader tune" width="1250" height="640" class="img_ev3q"></p></li><li><p>In <strong>Input tuning</strong>, set <strong>Use earliest offset</strong> to <code>True</code>—<!-- -->this is very important because you want to consume the data from the start of the stream. There are no other changes to make here, so click <strong>Next: Publish</strong>.</p><p><img loading="lazy" alt="Data loader publish" src="/assets/images/tutorial-kafka-data-loader-08-d9ba2317e15b6ef9c5462777c9607599.png" title="Data loader publish" width="1250" height="640" class="img_ev3q"></p></li><li><p>Name the datasource <code>kttm-kafka</code> and click <strong>Next: Edit spec</strong> to review your spec.</p><p><img loading="lazy" alt="Data loader spec" src="/assets/images/tutorial-kafka-data-loader-09-180337ab02ae60444d19b768a4ed2fd5.png" title="Data loader spec" width="1250" height="640" class="img_ev3q"></p><p>The console presents the spec you've constructed. You can click the buttons above the spec to make changes in previous steps and see how the changes update the spec. You can also edit the spec directly and see it reflected in the previous steps.</p></li><li><p>Click <strong>Submit</strong> to create an ingestion task.</p><p>Druid displays the task view with the focus on the newly created supervisor.</p><p>The task view auto-refreshes, so wait until the supervisor launches a task. The status changes from <strong>Pending</strong> to <strong>Running</strong> as Druid starts to ingest data.</p><p><img loading="lazy" alt="Tasks view" src="/assets/images/tutorial-kafka-data-loader-10-6a55a1befc9900c50ed7f8f3f14071ed.png" title="Tasks view" width="1250" height="640" class="img_ev3q"></p></li><li><p>Navigate to the <strong>Datasources</strong> view from the header.</p><p><img loading="lazy" alt="Datasource view" src="/assets/images/tutorial-kafka-data-loader-11-74188b46ff51c655a03d12c5a838b33f.png" title="Datasource view" width="1250" height="640" class="img_ev3q"></p><p>When the <code>kttm-kafka</code> datasource appears here, you can query it. See <a href="#query-your-data">Query your data</a> for details.</p></li></ol><div class="theme-admonition theme-admonition-info alert alert--info admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_S0QG"><p> If the datasource doesn't appear after a minute you might not have set the supervisor to read data from the start of the stream<!-- -->—<!-- -->the <code>Use earliest offset</code> setting in the <strong>Tune</strong> step. Go to the <strong>Ingestion</strong> page and terminate the supervisor using the <strong>Actions(...)</strong> menu. <a href="#load-data-with-the-console-data-loader">Load the sample data</a> again and apply the correct setting when you get to the <strong>Tune</strong> step.</p></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="submit-a-supervisor-spec">Submit a supervisor spec<a href="#submit-a-supervisor-spec" class="hash-link" aria-label="Direct link to Submit a supervisor spec" title="Direct link to Submit a supervisor spec"></a></h3><p>As an alternative to using the data loader, you can submit a supervisor spec to Druid. You can do this in the console or using the Druid API.</p><h4 class="anchor anchorWithStickyNavbar_LWe7" id="use-the-console">Use the console<a href="#use-the-console" class="hash-link" aria-label="Direct link to Use the console" title="Direct link to Use the console"></a></h4><p>To submit a supervisor spec using the Druid console:</p><ol><li><p>Click <strong>Ingestion</strong> in the console, then click the ellipses next to the refresh button and select <strong>Submit JSON supervisor</strong>.</p></li><li><p>Paste this spec into the JSON window and click <strong>Submit</strong>.</p><div class="language-json codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-json codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"type"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"kafka"</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"spec"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"ioConfig"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"type"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"kafka"</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"consumerProperties"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"bootstrap.servers"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"localhost:9092"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"topic"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"kttm"</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"inputFormat"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"type"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"json"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"useEarliestOffset"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token boolean" style="color:rgb(255, 88, 116)">true</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"tuningConfig"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"type"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"kafka"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"dataSchema"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"dataSource"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"kttm-kafka-supervisor-console"</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"timestampSpec"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"column"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"timestamp"</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"format"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"iso"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"dimensionsSpec"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"dimensions"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">[</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"session"</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"number"</span><span class="token punctuation" style="color:rgb(199, 146, 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class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"name"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"geo_ip"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">]</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"granularitySpec"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"queryGranularity"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"none"</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"rollup"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token boolean" style="color:rgb(255, 88, 116)">false</span><span class="token punctuation" style="color:rgb(199, 146, 234)">,</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token property">"segmentGranularity"</span><span class="token operator" style="color:rgb(137, 221, 255)">:</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">"day"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></span><span class="token punctuation" style="color:rgb(199, 146, 234)">}</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></li></ol><p> This starts the supervisor<!-- -->—<!-- -->the supervisor spawns tasks that start listening for incoming data.</p><ol start="3"><li>Click <strong>Tasks</strong> on the console home page to monitor the status of the job. This spec writes the data in the <code>kttm</code> topic to a datasource named <code>kttm-kafka-supervisor-console</code>.</li></ol><h4 class="anchor anchorWithStickyNavbar_LWe7" id="use-the-api">Use the API<a href="#use-the-api" class="hash-link" aria-label="Direct link to Use the API" title="Direct link to Use the API"></a></h4><p>You can also use the Druid API to submit a supervisor spec.</p><ol><li><p>Run the following command to download the sample spec:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token function" style="color:rgb(130, 170, 255)">curl</span><span class="token plain"> -O https://druid.apache.org/docs/latest/assets/files/kttm-kafka-supervisor.json</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div></li><li><p>Run the following command to submit the spec in the <code>kttm-kafka-supervisor.json</code> file:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token function" style="color:rgb(130, 170, 255)">curl</span><span class="token plain"> -XPOST -H </span><span class="token string" style="color:rgb(195, 232, 141)">'Content-Type: application/json'</span><span class="token plain"> kttm-kafka-supervisor.json http://localhost:8081/druid/indexer/v1/supervisor</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>After Druid successfully creates the supervisor, you get a response containing the supervisor ID: <code>{"id":"kttm-kafka-supervisor-api"}</code>.</p></li><li><p>Click <strong>Tasks</strong> on the console home page to monitor the status of the job. This spec writes the data in the <code>kttm</code> topic to a datasource named <code>kttm-kafka-supervisor-api</code>.</p></li></ol><h2 class="anchor anchorWithStickyNavbar_LWe7" id="query-your-data">Query your data<a href="#query-your-data" class="hash-link" aria-label="Direct link to Query your data" title="Direct link to Query your data"></a></h2><p>After Druid sends data to the Kafka stream, it is immediately available for querying. Click <strong>Query</strong> in the Druid console to run SQL queries against the datasource.</p><p>Since this tutorial ingests a small dataset, you can run the query <code>SELECT * FROM "kttm-kafka"</code> to return all of the data in the dataset you created.</p><p><img loading="lazy" alt="Query view" src="/assets/images/tutorial-kafka-data-loader-12-3cd1aa4f7669845ca042aa2e524ea521.png" title="Query view" width="1250" height="640" class="img_ev3q"></p><p>Check out the <a href="/docs/latest/tutorials/tutorial-query">Querying data tutorial</a> to run some example queries on the newly loaded data.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="further-reading">Further reading<a href="#further-reading" class="hash-link" aria-label="Direct link to Further reading" title="Direct link to Further reading"></a></h2><p>For more information, see the following topics:</p><ul><li><a href="/docs/latest/development/extensions-core/kafka-ingestion">Apache Kafka ingestion</a> for more information on loading data from Kafka streams.</li><li><a href="/docs/latest/development/extensions-core/kafka-supervisor-reference">Apache Kafka supervisor reference</a> for Kafka supervisor configuration information.</li><li><a href="/docs/latest/development/extensions-core/kafka-supervisor-operations">Apache Kafka supervisor operations reference</a> for information on running and maintaining Kafka supervisors for Druid.</li></ul></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/docs/latest/tutorials/tutorial-msq-extern"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Load files using SQL</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/docs/latest/tutorials/tutorial-batch-hadoop"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Load from Apache Hadoop</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#download-and-start-kafka" class="table-of-contents__link toc-highlight">Download and start Kafka</a></li><li><a href="#load-data-into-kafka" class="table-of-contents__link toc-highlight">Load data into Kafka</a></li><li><a href="#load-data-into-druid" class="table-of-contents__link toc-highlight">Load data into Druid</a><ul><li><a href="#load-data-with-the-console-data-loader" class="table-of-contents__link toc-highlight">Load data with the console data loader</a></li><li><a href="#submit-a-supervisor-spec" class="table-of-contents__link toc-highlight">Submit a supervisor spec</a></li></ul></li><li><a href="#query-your-data" class="table-of-contents__link toc-highlight">Query your data</a></li><li><a href="#further-reading" class="table-of-contents__link toc-highlight">Further reading</a></li></ul></div></div></div></div></main></div></div><footer class="footer"><div class="container container-fluid"><div class="footer__bottom text--center"><div class="margin-bottom--sm"><img src="/img/favicon.png" class="themedImage_ToTc themedImage--light_HNdA footer__logo"><img src="/img/favicon.png" class="themedImage_ToTc themedImage--dark_i4oU footer__logo"></div><div class="footer__copyright">Copyright © 2023 Apache Software Foundation. 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