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| <h1 id="tutorial-loading-a-file">Tutorial: Loading a file</h1> |
| |
| <p>This tutorial demonstrates how to perform a batch file load, using Apache Druid (incubating)'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 id="loading-data-with-the-data-loader">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. |
| Select <code>Local disk</code>.</p> |
| |
| <p><img src="../tutorials/img/tutorial-batch-data-loader-01.png" alt="Data loader init" title="Data loader init"></p> |
| |
| <p>Enter the value of <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 the data you are seeing is correct.</p> |
| |
| <p><img src="../tutorials/img/tutorial-batch-data-loader-02.png" alt="Data loader sample" title="Data loader sample"></p> |
| |
| <p>Once the data is located, you can click "Next: Parse data" to go to the next step. |
| 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><img src="../tutorials/img/tutorial-batch-data-loader-03.png" alt="Data loader parse data" title="Data loader parse 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. |
| 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><img src="../tutorials/img/tutorial-batch-data-loader-04.png" alt="Data loader parse time" title="Data loader parse time"></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>In the <code>Configure schema</code> step, you can configure which dimensions (and metrics) 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 <code>Rollup</code> by clicking on the switch and confirming the change.</p> |
| |
| <p><img src="../tutorials/img/tutorial-batch-data-loader-05.png" alt="Data loader schema" title="Data loader schema"></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. |
| 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><img src="../tutorials/img/tutorial-batch-data-loader-06.png" alt="Data loader partition" title="Data loader partition"></p> |
| |
| <p>Clicking past the <code>Tune</code> step, we get to the publish step, which is where we can specify what the datasource name in Druid. |
| Let's name this datasource <code>wikipedia</code>. </p> |
| |
| <p><img src="../tutorials/img/tutorial-batch-data-loader-07.png" alt="Data loader publish" title="Data loader publish"></p> |
| |
| <p>Finally, click <code>Next</code> to review your spec. |
| 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><img src="../tutorials/img/tutorial-batch-data-loader-08.png" alt="Data loader spec" title="Data loader spec"></p> |
| |
| <p>Once you are satisfied with the spec, click <code>Submit</code> and an ingestion task will be created.</p> |
| |
| <p>You will be taken to the task view with the focus on the newly created task. </p> |
| |
| <p><img src="../tutorials/img/tutorial-batch-data-loader-09.png" alt="Tasks view" title="Tasks view"></p> |
| |
| <p>In the tasks view, you can click <code>Refresh</code> a couple of times until your ingestion task (hopefully) 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 and click refresh until your datasource (<code>wikipedia</code>) appears. |
| This can take a few seconds as the segments are being loaded. </p> |
| |
| <p><img src="../tutorials/img/tutorial-batch-data-loader-10.png" alt="Datasource view" title="Datasource view"></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>Since this is a small dataset, you can simply run a <code>SELECT * FROM wikipedia</code> query to see your results.</p> |
| |
| <p><img src="../tutorials/img/tutorial-batch-data-loader-11.png" alt="Query view" title="Query view"></p> |
| |
| <p>Check out the <a href="../tutorials/tutorial-query.html">query tutorial</a> to run some example queries on the newly loaded data.</p> |
| |
| <h2 id="loading-data-with-a-spec-via-console">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> |
| <div class="highlight"><pre><code class="language-json" data-lang="json"><span></span><span class="p">{</span> |
| <span class="nt">"type"</span> <span class="p">:</span> <span class="s2">"index"</span><span class="p">,</span> |
| <span class="nt">"spec"</span> <span class="p">:</span> <span class="p">{</span> |
| <span class="nt">"dataSchema"</span> <span class="p">:</span> <span class="p">{</span> |
| <span class="nt">"dataSource"</span> <span class="p">:</span> <span class="s2">"wikipedia"</span><span class="p">,</span> |
| <span class="nt">"parser"</span> <span class="p">:</span> <span class="p">{</span> |
| <span class="nt">"type"</span> <span class="p">:</span> <span class="s2">"string"</span><span class="p">,</span> |
| <span class="nt">"parseSpec"</span> <span class="p">:</span> <span class="p">{</span> |
| <span class="nt">"format"</span> <span class="p">:</span> <span class="s2">"json"</span><span class="p">,</span> |
| <span class="nt">"dimensionsSpec"</span> <span class="p">:</span> <span class="p">{</span> |
| <span class="nt">"dimensions"</span> <span class="p">:</span> <span class="p">[</span> |
| <span class="s2">"channel"</span><span class="p">,</span> |
| <span class="s2">"cityName"</span><span class="p">,</span> |
| <span class="s2">"comment"</span><span class="p">,</span> |
| <span class="s2">"countryIsoCode"</span><span class="p">,</span> |
| <span class="s2">"countryName"</span><span class="p">,</span> |
| <span class="s2">"isAnonymous"</span><span class="p">,</span> |
| <span class="s2">"isMinor"</span><span class="p">,</span> |
| <span class="s2">"isNew"</span><span class="p">,</span> |
| <span class="s2">"isRobot"</span><span class="p">,</span> |
| <span class="s2">"isUnpatrolled"</span><span class="p">,</span> |
| <span class="s2">"metroCode"</span><span class="p">,</span> |
| <span class="s2">"namespace"</span><span class="p">,</span> |
| <span class="s2">"page"</span><span class="p">,</span> |
| <span class="s2">"regionIsoCode"</span><span class="p">,</span> |
| <span class="s2">"regionName"</span><span class="p">,</span> |
| <span class="s2">"user"</span><span class="p">,</span> |
| <span class="p">{</span> <span class="nt">"name"</span><span class="p">:</span> <span class="s2">"added"</span><span class="p">,</span> <span class="nt">"type"</span><span class="p">:</span> <span class="s2">"long"</span> <span class="p">},</span> |
| <span class="p">{</span> <span class="nt">"name"</span><span class="p">:</span> <span class="s2">"deleted"</span><span class="p">,</span> <span class="nt">"type"</span><span class="p">:</span> <span class="s2">"long"</span> <span class="p">},</span> |
| <span class="p">{</span> <span class="nt">"name"</span><span class="p">:</span> <span class="s2">"delta"</span><span class="p">,</span> <span class="nt">"type"</span><span class="p">:</span> <span class="s2">"long"</span> <span class="p">}</span> |
| <span class="p">]</span> |
| <span class="p">},</span> |
| <span class="nt">"timestampSpec"</span><span class="p">:</span> <span class="p">{</span> |
| <span class="nt">"column"</span><span class="p">:</span> <span class="s2">"time"</span><span class="p">,</span> |
| <span class="nt">"format"</span><span class="p">:</span> <span class="s2">"iso"</span> |
| <span class="p">}</span> |
| <span class="p">}</span> |
| <span class="p">},</span> |
| <span class="nt">"metricsSpec"</span> <span class="p">:</span> <span class="p">[],</span> |
| <span class="nt">"granularitySpec"</span> <span class="p">:</span> <span class="p">{</span> |
| <span class="nt">"type"</span> <span class="p">:</span> <span class="s2">"uniform"</span><span class="p">,</span> |
| <span class="nt">"segmentGranularity"</span> <span class="p">:</span> <span class="s2">"day"</span><span class="p">,</span> |
| <span class="nt">"queryGranularity"</span> <span class="p">:</span> <span class="s2">"none"</span><span class="p">,</span> |
| <span class="nt">"intervals"</span> <span class="p">:</span> <span class="p">[</span><span class="s2">"2015-09-12/2015-09-13"</span><span class="p">],</span> |
| <span class="nt">"rollup"</span> <span class="p">:</span> <span class="kc">false</span> |
| <span class="p">}</span> |
| <span class="p">},</span> |
| <span class="nt">"ioConfig"</span> <span class="p">:</span> <span class="p">{</span> |
| <span class="nt">"type"</span> <span class="p">:</span> <span class="s2">"index"</span><span class="p">,</span> |
| <span class="nt">"firehose"</span> <span class="p">:</span> <span class="p">{</span> |
| <span class="nt">"type"</span> <span class="p">:</span> <span class="s2">"local"</span><span class="p">,</span> |
| <span class="nt">"baseDir"</span> <span class="p">:</span> <span class="s2">"quickstart/tutorial/"</span><span class="p">,</span> |
| <span class="nt">"filter"</span> <span class="p">:</span> <span class="s2">"wikiticker-2015-09-12-sampled.json.gz"</span> |
| <span class="p">},</span> |
| <span class="nt">"appendToExisting"</span> <span class="p">:</span> <span class="kc">false</span> |
| <span class="p">},</span> |
| <span class="nt">"tuningConfig"</span> <span class="p">:</span> <span class="p">{</span> |
| <span class="nt">"type"</span> <span class="p">:</span> <span class="s2">"index"</span><span class="p">,</span> |
| <span class="nt">"maxRowsPerSegment"</span> <span class="p">:</span> <span class="mi">5000000</span><span class="p">,</span> |
| <span class="nt">"maxRowsInMemory"</span> <span class="p">:</span> <span class="mi">25000</span> |
| <span class="p">}</span> |
| <span class="p">}</span> |
| <span class="p">}</span> |
| </code></pre></div> |
| <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="../tutorials/img/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="../tutorials/img/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 id="loading-data-with-a-spec-via-command-line">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> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"><span></span>bin/post-index-task --file quickstart/tutorial/wikipedia-index.json --url http://localhost:8081 |
| </code></pre></div> |
| <p>You should see output like the following:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"><span></span>Beginning indexing data <span class="k">for</span> wikipedia |
| Task started: index_wikipedia_2018-07-27T06:37:44.323Z |
| Task log: http://localhost:8081/druid/indexer/v1/task/index_wikipedia_2018-07-27T06:37:44.323Z/log |
| 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="k">for</span> wikipedia. Now loading indexed data onto the cluster... |
| wikipedia loading complete! You may now query your data |
| </code></pre></div> |
| <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 id="loading-data-without-the-script">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-0.15.0-incubating directory:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"><span></span>curl -X <span class="s1">'POST'</span> -H <span class="s1">'Content-Type:application/json'</span> -d @quickstart/tutorial/wikipedia-index.json http://localhost:8081/druid/indexer/v1/task |
| </code></pre></div> |
| <p>Which will print the ID of the task if the submission was successful:</p> |
| <div class="highlight"><pre><code class="language-bash" data-lang="bash"><span></span><span class="o">{</span><span class="s2">"task"</span>:<span class="s2">"index_wikipedia_2018-06-09T21:30:32.802Z"</span><span class="o">}</span> |
| </code></pre></div> |
| <p>You can monitor the status of this task from the console as outlined above. </p> |
| |
| <h2 id="querying-your-data">Querying your data</h2> |
| |
| <p>Once the data is loaded, please follow the <a href="../tutorials/tutorial-query.html">query tutorial</a> to run some example queries on the newly loaded data.</p> |
| |
| <h2 id="cleanup">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 id="further-reading">Further reading</h2> |
| |
| <p>For more information on loading batch data, please see <a href="../ingestion/batch-ingestion.html">the batch ingestion documentation</a>.</p> |
| |
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