<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta http-equiv="X-UA-Compatible" content="IE=edge"/><title>Tutorial: Loading a file · Apache Druid</title><meta name="viewport" content="width=device-width"/><link rel="canonical" href="https://druid.apache.org/docs/latest/tutorials/tutorial-batch.html"/><meta name="generator" content="Docusaurus"/><meta name="description" content="&lt;!--"/><meta name="docsearch:language" content="en"/><meta name="docsearch:version" content="0.20.0" /><meta property="og:title" content="Tutorial: Loading a file · Apache Druid"/><meta property="og:type" content="website"/><meta property="og:url" content="https://druid.apache.org/index.html"/><meta property="og:description" content="&lt;!--"/><meta property="og:image" content="https://druid.apache.org/img/druid_nav.png"/><meta name="twitter:card" content="summary"/><meta name="twitter:image" content="https://druid.apache.org/img/druid_nav.png"/><link rel="shortcut icon" href="/img/favicon.png"/><link rel="stylesheet" href="https://cdn.jsdelivr.net/docsearch.js/1/docsearch.min.css"/><link rel="stylesheet" href="//cdnjs.cloudflare.com/ajax/libs/highlight.js/9.12.0/styles/default.min.css"/><script async="" src="https://www.googletagmanager.com/gtag/js?id=UA-131010415-1"></script><script>
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<p>This tutorial demonstrates how to load data into Apache Druid from a file using Apache Druid's native batch ingestion feature.</p>
<p>You initiate data loading in Druid by submitting an <em>ingestion task</em> spec to the Druid Overlord. You can write ingestion
specs by hand or using the <em>data loader</em> built into the Druid console.</p>
<p>The <a href="/docs/latest/tutorials/index.html">Quickstart</a> shows you how to use the data loader to build an ingestion spec. For production environments, it's
likely that you'll want to automate data ingestion. This tutorial starts by showing you how to submit an ingestion spec
directly in the Druid console, and then introduces ways to ingest batch data that lend themselves to
automation—from the command line and from a script.</p>
<h2><a class="anchor" aria-hidden="true" id="loading-data-with-a-spec-via-console"></a><a href="#loading-data-with-a-spec-via-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>Loading data with a spec (via console)</h2>
<p>The Druid package includes the following sample native batch ingestion task spec at <code>quickstart/tutorial/wikipedia-index.json</code>, shown here for convenience,
which has been configured to read the <code>quickstart/tutorial/wikiticker-2015-09-12-sampled.json.gz</code> input file:</p>
<pre><code class="hljs css language-json">{
  <span class="hljs-attr">"type"</span> : <span class="hljs-string">"index_parallel"</span>,
  <span class="hljs-attr">"spec"</span> : {
    <span class="hljs-attr">"dataSchema"</span> : {
      <span class="hljs-attr">"dataSource"</span> : <span class="hljs-string">"wikipedia"</span>,
      <span class="hljs-attr">"dimensionsSpec"</span> : {
        <span class="hljs-attr">"dimensions"</span> : [
          <span class="hljs-string">"channel"</span>,
          <span class="hljs-string">"cityName"</span>,
          <span class="hljs-string">"comment"</span>,
          <span class="hljs-string">"countryIsoCode"</span>,
          <span class="hljs-string">"countryName"</span>,
          <span class="hljs-string">"isAnonymous"</span>,
          <span class="hljs-string">"isMinor"</span>,
          <span class="hljs-string">"isNew"</span>,
          <span class="hljs-string">"isRobot"</span>,
          <span class="hljs-string">"isUnpatrolled"</span>,
          <span class="hljs-string">"metroCode"</span>,
          <span class="hljs-string">"namespace"</span>,
          <span class="hljs-string">"page"</span>,
          <span class="hljs-string">"regionIsoCode"</span>,
          <span class="hljs-string">"regionName"</span>,
          <span class="hljs-string">"user"</span>,
          { <span class="hljs-attr">"name"</span>: <span class="hljs-string">"added"</span>, <span class="hljs-attr">"type"</span>: <span class="hljs-string">"long"</span> },
          { <span class="hljs-attr">"name"</span>: <span class="hljs-string">"deleted"</span>, <span class="hljs-attr">"type"</span>: <span class="hljs-string">"long"</span> },
          { <span class="hljs-attr">"name"</span>: <span class="hljs-string">"delta"</span>, <span class="hljs-attr">"type"</span>: <span class="hljs-string">"long"</span> }
        ]
      },
      <span class="hljs-attr">"timestampSpec"</span>: {
        <span class="hljs-attr">"column"</span>: <span class="hljs-string">"time"</span>,
        <span class="hljs-attr">"format"</span>: <span class="hljs-string">"iso"</span>
      },
      <span class="hljs-attr">"metricsSpec"</span> : [],
      <span class="hljs-attr">"granularitySpec"</span> : {
        <span class="hljs-attr">"type"</span> : <span class="hljs-string">"uniform"</span>,
        <span class="hljs-attr">"segmentGranularity"</span> : <span class="hljs-string">"day"</span>,
        <span class="hljs-attr">"queryGranularity"</span> : <span class="hljs-string">"none"</span>,
        <span class="hljs-attr">"intervals"</span> : [<span class="hljs-string">"2015-09-12/2015-09-13"</span>],
        <span class="hljs-attr">"rollup"</span> : <span class="hljs-literal">false</span>
      }
    },
    <span class="hljs-attr">"ioConfig"</span> : {
      <span class="hljs-attr">"type"</span> : <span class="hljs-string">"index_parallel"</span>,
      <span class="hljs-attr">"inputSource"</span> : {
        <span class="hljs-attr">"type"</span> : <span class="hljs-string">"local"</span>,
        <span class="hljs-attr">"baseDir"</span> : <span class="hljs-string">"quickstart/tutorial/"</span>,
        <span class="hljs-attr">"filter"</span> : <span class="hljs-string">"wikiticker-2015-09-12-sampled.json.gz"</span>
      },
      <span class="hljs-attr">"inputFormat"</span> :  {
        <span class="hljs-attr">"type"</span>: <span class="hljs-string">"json"</span>
      },
      <span class="hljs-attr">"appendToExisting"</span> : <span class="hljs-literal">false</span>
    },
    <span class="hljs-attr">"tuningConfig"</span> : {
      <span class="hljs-attr">"type"</span> : <span class="hljs-string">"index_parallel"</span>,
      <span class="hljs-attr">"maxRowsPerSegment"</span> : <span class="hljs-number">5000000</span>,
      <span class="hljs-attr">"maxRowsInMemory"</span> : <span class="hljs-number">25000</span>
    }
  }
}
</code></pre>
<p>This spec creates a datasource named &quot;wikipedia&quot;.</p>
<p>From the Ingestion view, click the ellipses next to Tasks and choose <code>Submit JSON task</code>.</p>
<p><img src="../assets/tutorial-batch-submit-task-01.png" alt="Tasks view add task" title="Tasks view add task"></p>
<p>This brings up the spec submission dialog where you can paste the spec above.</p>
<p><img src="../assets/tutorial-batch-submit-task-02.png" alt="Query view" title="Query view"></p>
<p>Once the spec is submitted, wait a few moments for the data to load, after which you can query it.</p>
<h2><a class="anchor" aria-hidden="true" id="loading-data-with-a-spec-via-command-line"></a><a href="#loading-data-with-a-spec-via-command-line" 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>Loading data with a spec (via command line)</h2>
<p>For convenience, the Druid package includes a batch ingestion helper script at <code>bin/post-index-task</code>.</p>
<p>This script will POST an ingestion task to the Druid Overlord and poll Druid until the data is available for querying.</p>
<p>Run the following command from Druid package root:</p>
<pre><code class="hljs css language-bash">bin/post-index-task --file quickstart/tutorial/wikipedia-index.json --url http://localhost:8081
</code></pre>
<p>You should see output like the following:</p>
<pre><code class="hljs css language-bash">Beginning indexing data <span class="hljs-keyword">for</span> wikipedia
Task started: index_wikipedia_2018-07-27T06:37:44.323Z
Task <span class="hljs-built_in">log</span>:     http://localhost:8081/druid/indexer/v1/task/index_wikipedia_2018-07-27T06:37:44.323Z/<span class="hljs-built_in">log</span>
Task status:  http://localhost:8081/druid/indexer/v1/task/index_wikipedia_2018-07-27T06:37:44.323Z/status
Task index_wikipedia_2018-07-27T06:37:44.323Z still running...
Task index_wikipedia_2018-07-27T06:37:44.323Z still running...
Task finished with status: SUCCESS
Completed indexing data <span class="hljs-keyword">for</span> wikipedia. Now loading indexed data onto the cluster...
wikipedia loading complete! You may now query your data
</code></pre>
<p>Once the spec is submitted, you can follow the same instructions as above to wait for the data to load and then query it.</p>
<h2><a class="anchor" aria-hidden="true" id="loading-data-without-the-script"></a><a href="#loading-data-without-the-script" 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>Loading data without the script</h2>
<p>Let's briefly discuss how we would've submitted the ingestion task without using the script. You do not need to run these commands.</p>
<p>To submit the task, POST it to Druid in a new terminal window from the apache-druid-0.20.0 directory:</p>
<pre><code class="hljs css language-bash">curl -X <span class="hljs-string">'POST'</span> -H <span class="hljs-string">'Content-Type:application/json'</span> -d @quickstart/tutorial/wikipedia-index.json http://localhost:8081/druid/indexer/v1/task
</code></pre>
<p>Which will print the ID of the task if the submission was successful:</p>
<pre><code class="hljs css language-bash">{<span class="hljs-string">"task"</span>:<span class="hljs-string">"index_wikipedia_2018-06-09T21:30:32.802Z"</span>}
</code></pre>
<p>You can monitor the status of this task from the console as outlined above.</p>
<h2><a class="anchor" aria-hidden="true" id="querying-your-data"></a><a href="#querying-your-data" 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>Querying your data</h2>
<p>Once the data is loaded, please follow the <a href="/docs/latest/tutorials/tutorial-query.html">query tutorial</a> to run some example queries on the newly loaded data.</p>
<h2><a class="anchor" aria-hidden="true" id="cleanup"></a><a href="#cleanup" 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>Cleanup</h2>
<p>If you wish to go through any of the other ingestion tutorials, you will need to shut down the cluster and reset the cluster state by removing the contents of the <code>var</code> directory under the druid package, as the other tutorials will write to the same &quot;wikipedia&quot; datasource.</p>
<h2><a class="anchor" aria-hidden="true" id="further-reading"></a><a href="#further-reading" 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>Further reading</h2>
<p>For more information on loading batch data, please see <a href="/docs/latest/ingestion/native-batch.html">the native batch ingestion documentation</a>.</p>
</span></div></article></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/latest/tutorials/cluster.html"><span class="arrow-prev">← </span><span>Clustered deployment</span></a><a class="docs-next button" href="/docs/latest/tutorials/tutorial-kafka.html"><span>Load from Apache Kafka</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"><ul class="toc-headings"><li><a href="#loading-data-with-a-spec-via-console">Loading data with a spec (via console)</a></li><li><a href="#loading-data-with-a-spec-via-command-line">Loading data with a spec (via command line)</a></li><li><a href="#loading-data-without-the-script">Loading data without the script</a></li><li><a href="#querying-your-data">Querying your data</a></li><li><a href="#cleanup">Cleanup</a></li><li><a href="#further-reading">Further reading</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/latest/latest">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 © 2019 <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/docsearch.js/1/docsearch.min.js"></script><script>
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