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<h1 id="ingestion-using-parquet-format">Ingestion using Parquet format</h1>
<p>To use this extension, make sure to <a href="../../operations/including-extensions.html">include</a> both <code>druid-avro-extensions</code> and <code>druid-parquet-extensions</code>.</p>
<p>This extension enables Druid to ingest and understand the Apache Parquet data format offline.</p>
<h2 id="parquet-hadoop-parser">Parquet Hadoop Parser</h2>
<p>This is for batch ingestion using the HadoopDruidIndexer. The inputFormat of <code>inputSpec</code> in <code>ioConfig</code> must be set to <code>&quot;org.apache.druid.data.input.parquet.DruidParquetInputFormat&quot;</code>.</p>
<table><thead>
<tr>
<th>Field</th>
<th>Type</th>
<th>Description</th>
<th>Required</th>
</tr>
</thead><tbody>
<tr>
<td>type</td>
<td>String</td>
<td>This should say <code>parquet</code></td>
<td>yes</td>
</tr>
<tr>
<td>parseSpec</td>
<td>JSON Object</td>
<td>Specifies the timestamp and dimensions of the data. Should be a timeAndDims parseSpec.</td>
<td>yes</td>
</tr>
<tr>
<td>binaryAsString</td>
<td>Boolean</td>
<td>Specifies if the bytes parquet column should be converted to strings.</td>
<td>no(default == false)</td>
</tr>
</tbody></table>
<p>When the time dimension is a <a href="https://github.com/apache/parquet-format/blob/master/LogicalTypes.md">DateType column</a>, a format should not be supplied. When the format is UTF8 (String), either <code>auto</code> or a explicitly defined <a href="http://www.joda.org/joda-time/apidocs/org/joda/time/format/DateTimeFormat.html">format</a> is required.</p>
<h3 id="example-json-for-overlord">Example json for overlord</h3>
<p>When posting the index job to the overlord, setting the correct <code>inputFormat</code> is required to switch to parquet ingestion. Make sure to set <code>jobProperties</code> to make hdfs path timezone unrelated:</p>
<div class="highlight"><pre><code class="language-json" data-lang="json"><span></span><span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;index_hadoop&quot;</span><span class="p">,</span>
<span class="nt">&quot;spec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;ioConfig&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;hadoop&quot;</span><span class="p">,</span>
<span class="nt">&quot;inputSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;static&quot;</span><span class="p">,</span>
<span class="nt">&quot;inputFormat&quot;</span><span class="p">:</span> <span class="s2">&quot;org.apache.druid.data.input.parquet.DruidParquetInputFormat&quot;</span><span class="p">,</span>
<span class="nt">&quot;paths&quot;</span><span class="p">:</span> <span class="s2">&quot;no_metrics&quot;</span>
<span class="p">}</span>
<span class="p">},</span>
<span class="nt">&quot;dataSchema&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;dataSource&quot;</span><span class="p">:</span> <span class="s2">&quot;no_metrics&quot;</span><span class="p">,</span>
<span class="nt">&quot;parser&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;parquet&quot;</span><span class="p">,</span>
<span class="nt">&quot;parseSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;format&quot;</span><span class="p">:</span> <span class="s2">&quot;timeAndDims&quot;</span><span class="p">,</span>
<span class="nt">&quot;timestampSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;column&quot;</span><span class="p">:</span> <span class="s2">&quot;time&quot;</span><span class="p">,</span>
<span class="nt">&quot;format&quot;</span><span class="p">:</span> <span class="s2">&quot;auto&quot;</span>
<span class="p">},</span>
<span class="nt">&quot;dimensionsSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;dimensions&quot;</span><span class="p">:</span> <span class="p">[</span>
<span class="s2">&quot;name&quot;</span>
<span class="p">],</span>
<span class="nt">&quot;dimensionExclusions&quot;</span><span class="p">:</span> <span class="p">[],</span>
<span class="nt">&quot;spatialDimensions&quot;</span><span class="p">:</span> <span class="p">[]</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="p">},</span>
<span class="nt">&quot;metricsSpec&quot;</span><span class="p">:</span> <span class="p">[{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;count&quot;</span><span class="p">,</span>
<span class="nt">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;count&quot;</span>
<span class="p">}],</span>
<span class="nt">&quot;granularitySpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;uniform&quot;</span><span class="p">,</span>
<span class="nt">&quot;segmentGranularity&quot;</span><span class="p">:</span> <span class="s2">&quot;DAY&quot;</span><span class="p">,</span>
<span class="nt">&quot;queryGranularity&quot;</span><span class="p">:</span> <span class="s2">&quot;ALL&quot;</span><span class="p">,</span>
<span class="nt">&quot;intervals&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;2015-12-31/2016-01-02&quot;</span><span class="p">]</span>
<span class="p">}</span>
<span class="p">},</span>
<span class="nt">&quot;tuningConfig&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;hadoop&quot;</span><span class="p">,</span>
<span class="nt">&quot;partitionsSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;targetPartitionSize&quot;</span><span class="p">:</span> <span class="mi">5000000</span>
<span class="p">},</span>
<span class="nt">&quot;jobProperties&quot;</span> <span class="p">:</span> <span class="p">{},</span>
<span class="nt">&quot;leaveIntermediate&quot;</span><span class="p">:</span> <span class="kc">true</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="p">}</span>
</code></pre></div>
<h3 id="example-json-for-standalone-jvm">Example json for standalone jvm</h3>
<p>When using a standalone JVM instead, additional configuration fields are required. You can just fire a hadoop job with your local compiled jars like:</p>
<div class="highlight"><pre><code class="language-bash" data-lang="bash"><span></span><span class="nv">HADOOP_CLASS_PATH</span><span class="o">=</span><span class="sb">`</span>hadoop classpath <span class="p">|</span> sed s/*.jar/*/g<span class="sb">`</span>
java -Xmx32m -Duser.timezone<span class="o">=</span>UTC -Dfile.encoding<span class="o">=</span>UTF-8 <span class="se">\</span>
-classpath config/overlord:config/_common:lib/*:<span class="nv">$HADOOP_CLASS_PATH</span>:extensions/druid-avro-extensions/* <span class="se">\</span>
org.apache.druid.cli.Main index hadoop <span class="se">\</span>
wikipedia_hadoop_parquet_job.json
</code></pre></div>
<p>An example index json when using the standalone JVM:</p>
<div class="highlight"><pre><code class="language-json" data-lang="json"><span></span><span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;index_hadoop&quot;</span><span class="p">,</span>
<span class="nt">&quot;spec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;ioConfig&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;hadoop&quot;</span><span class="p">,</span>
<span class="nt">&quot;inputSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;static&quot;</span><span class="p">,</span>
<span class="nt">&quot;inputFormat&quot;</span><span class="p">:</span> <span class="s2">&quot;org.apache.druid.data.input.parquet.DruidParquetInputFormat&quot;</span><span class="p">,</span>
<span class="nt">&quot;paths&quot;</span><span class="p">:</span> <span class="s2">&quot;no_metrics&quot;</span>
<span class="p">},</span>
<span class="nt">&quot;metadataUpdateSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;postgresql&quot;</span><span class="p">,</span>
<span class="nt">&quot;connectURI&quot;</span><span class="p">:</span> <span class="s2">&quot;jdbc:postgresql://localhost/druid&quot;</span><span class="p">,</span>
<span class="nt">&quot;user&quot;</span> <span class="p">:</span> <span class="s2">&quot;druid&quot;</span><span class="p">,</span>
<span class="nt">&quot;password&quot;</span> <span class="p">:</span> <span class="s2">&quot;asdf&quot;</span><span class="p">,</span>
<span class="nt">&quot;segmentTable&quot;</span><span class="p">:</span> <span class="s2">&quot;druid_segments&quot;</span>
<span class="p">},</span>
<span class="nt">&quot;segmentOutputPath&quot;</span><span class="p">:</span> <span class="s2">&quot;tmp/segments&quot;</span>
<span class="p">},</span>
<span class="nt">&quot;dataSchema&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;dataSource&quot;</span><span class="p">:</span> <span class="s2">&quot;no_metrics&quot;</span><span class="p">,</span>
<span class="nt">&quot;parser&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;parquet&quot;</span><span class="p">,</span>
<span class="nt">&quot;parseSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;format&quot;</span><span class="p">:</span> <span class="s2">&quot;timeAndDims&quot;</span><span class="p">,</span>
<span class="nt">&quot;timestampSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;column&quot;</span><span class="p">:</span> <span class="s2">&quot;time&quot;</span><span class="p">,</span>
<span class="nt">&quot;format&quot;</span><span class="p">:</span> <span class="s2">&quot;auto&quot;</span>
<span class="p">},</span>
<span class="nt">&quot;dimensionsSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;dimensions&quot;</span><span class="p">:</span> <span class="p">[</span>
<span class="s2">&quot;name&quot;</span>
<span class="p">],</span>
<span class="nt">&quot;dimensionExclusions&quot;</span><span class="p">:</span> <span class="p">[],</span>
<span class="nt">&quot;spatialDimensions&quot;</span><span class="p">:</span> <span class="p">[]</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="p">},</span>
<span class="nt">&quot;metricsSpec&quot;</span><span class="p">:</span> <span class="p">[{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;count&quot;</span><span class="p">,</span>
<span class="nt">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;count&quot;</span>
<span class="p">}],</span>
<span class="nt">&quot;granularitySpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;uniform&quot;</span><span class="p">,</span>
<span class="nt">&quot;segmentGranularity&quot;</span><span class="p">:</span> <span class="s2">&quot;DAY&quot;</span><span class="p">,</span>
<span class="nt">&quot;queryGranularity&quot;</span><span class="p">:</span> <span class="s2">&quot;ALL&quot;</span><span class="p">,</span>
<span class="nt">&quot;intervals&quot;</span><span class="p">:</span> <span class="p">[</span><span class="s2">&quot;2015-12-31/2016-01-02&quot;</span><span class="p">]</span>
<span class="p">}</span>
<span class="p">},</span>
<span class="nt">&quot;tuningConfig&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;hadoop&quot;</span><span class="p">,</span>
<span class="nt">&quot;workingPath&quot;</span><span class="p">:</span> <span class="s2">&quot;tmp/working_path&quot;</span><span class="p">,</span>
<span class="nt">&quot;partitionsSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;targetPartitionSize&quot;</span><span class="p">:</span> <span class="mi">5000000</span>
<span class="p">},</span>
<span class="nt">&quot;jobProperties&quot;</span> <span class="p">:</span> <span class="p">{},</span>
<span class="nt">&quot;leaveIntermediate&quot;</span><span class="p">:</span> <span class="kc">true</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="p">}</span>
</code></pre></div>
<p>Almost all the fields listed above are required, including <code>inputFormat</code>, <code>metadataUpdateSpec</code>(<code>type</code>, <code>connectURI</code>, <code>user</code>, <code>password</code>, <code>segmentTable</code>).</p>
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