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| <p>This tutorial demonstrates how to perform a batch file load, using Apache Druid's native batch ingestion.</p> |
| <p>For this tutorial, we'll assume you've already downloaded Druid as described in |
| the <a href="index.html">quickstart</a> using the <code>micro-quickstart</code> single-machine configuration and have it |
| running on your local machine. You don't need to have loaded any data yet.</p> |
| <p>A data load is initiated by submitting an <em>ingestion task</em> spec to the Druid Overlord. For this tutorial, we'll be loading the sample Wikipedia page edits data.</p> |
| <p>An ingestion spec can be written by hand or by using the "Data loader" that is built into the Druid console. |
| The data loader can help you build an ingestion spec by sampling your data and and iteratively configuring various ingestion parameters. |
| The data loader currently only supports native batch ingestion (support for streaming, including data stored in Apache Kafka and AWS Kinesis, is coming in future releases). |
| Streaming ingestion is only available through a written ingestion spec today.</p> |
| <p>We've included a sample of Wikipedia edits from September 12, 2015 to get you started.</p> |
| <h2><a class="anchor" aria-hidden="true" id="loading-data-with-the-data-loader"></a><a href="#loading-data-with-the-data-loader" 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 the data loader</h2> |
| <p>Navigate to <a href="http://localhost:8888">localhost:8888</a> and click <code>Load data</code> in the console header.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-01.png" alt="Data loader init" title="Data loader init"></p> |
| <p>Select <code>Local disk</code> and click <code>Connect data</code>.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-02.png" alt="Data loader sample" title="Data loader sample"></p> |
| <p>Enter <code>quickstart/tutorial/</code> as the base directory and <code>wikiticker-2015-09-12-sampled.json.gz</code> as a filter. |
| The separation of base directory and <a href="https://commons.apache.org/proper/commons-io/apidocs/org/apache/commons/io/filefilter/WildcardFileFilter.html">wildcard file filter</a> is there if you need to ingest data from multiple files.</p> |
| <p>Click <code>Preview</code> and make sure that the data you are seeing is correct.</p> |
| <p>Once the data is located, you can click "Next: Parse data" to go to the next step.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-03.png" alt="Data loader parse data" title="Data loader parse data"></p> |
| <p>The data loader will try to automatically determine the correct parser for the data. |
| In this case it will successfully determine <code>json</code>. |
| Feel free to play around with different parser options to get a preview of how Druid will parse your data.</p> |
| <p>With the <code>json</code> parser selected, click <code>Next: Parse time</code> to get to the step centered around determining your primary timestamp column.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-04.png" alt="Data loader parse time" title="Data loader parse time"></p> |
| <p>Druid's architecture requires a primary timestamp column (internally stored in a column called <code>__time</code>). |
| If you do not have a timestamp in your data, select <code>Constant value</code>. |
| In our example, the data loader will determine that the <code>time</code> column in our raw data is the only candidate that can be used as the primary time column.</p> |
| <p>Click <code>Next: ...</code> twice to go past the <code>Transform</code> and <code>Filter</code> steps. |
| You do not need to enter anything in these steps as applying ingestion time transforms and filters are out of scope for this tutorial.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-05.png" alt="Data loader schema" title="Data loader schema"></p> |
| <p>In the <code>Configure schema</code> step, you can configure which <a href="/docs/latest/ingestion/index.html#dimensions">dimensions</a> and <a href="/docs/latest/ingestion/index.html#metrics">metrics</a> will be ingested into Druid. |
| This is exactly what the data will appear like in Druid once it is ingested. |
| Since our dataset is very small, go ahead and turn off <a href="/docs/latest/ingestion/index.html#rollup"><code>Rollup</code></a> by clicking on the switch and confirming the change.</p> |
| <p>Once you are satisfied with the schema, click <code>Next</code> to go to the <code>Partition</code> step where you can fine tune how the data will be partitioned into segments.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-06.png" alt="Data loader partition" title="Data loader partition"></p> |
| <p>Here, you can adjust how the data will be split up into segments in Druid. |
| Since this is a small dataset, there are no adjustments that need to be made in this step.</p> |
| <p>Clicking past the <code>Tune</code> step, to get to the publish step.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-07.png" alt="Data loader publish" title="Data loader publish"></p> |
| <p>The <code>Publish</code> step is where we can specify what the datasource name in Druid. |
| Let's name this datasource <code>wikipedia</code>. |
| Finally, click <code>Next</code> to review your spec.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-08.png" alt="Data loader spec" title="Data loader spec"></p> |
| <p>This is the spec you have constructed. |
| Feel free to go back and make changes in previous steps to see how changes will update the spec. |
| Similarly, you can also edit the spec directly and see it reflected in the previous steps.</p> |
| <p>Once you are satisfied with the spec, click <code>Submit</code> and an ingestion task will be created.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-09.png" alt="Tasks view" title="Tasks view"></p> |
| <p>You will be taken to the task view with the focus on the newly created task. |
| The task view is set to auto refresh, wait until your task succeeds.</p> |
| <p>When a tasks succeeds it means that it built one or more segments that will now be picked up by the data servers.</p> |
| <p>Navigate to the <code>Datasources</code> view from the header.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-10.png" alt="Datasource view" title="Datasource view"></p> |
| <p>Wait until your datasource (<code>wikipedia</code>) appears. |
| This can take a few seconds as the segments are being loaded.</p> |
| <p>A datasource is queryable once you see a green (fully available) circle. |
| At this point, you can go to the <code>Query</code> view to run SQL queries against the datasource.</p> |
| <p><img src="../assets/tutorial-batch-data-loader-11.png" alt="Query view" title="Query view"></p> |
| <p>Run a <code>SELECT * FROM "wikipedia"</code> query to see your results.</p> |
| <p>Check out 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="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 will create a datasource named "wikipedia".</p> |
| <p>From the task view, click on <code>Submit task</code> and select <code>Raw 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 will bring 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, 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-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-0.17.1 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 "wikipedia" 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-the-data-loader">Loading data with the data loader</a></li><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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