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<h1 id="apache-parquet-extension">Apache Parquet Extension</h1>
<p>This Apache Druid (incubating) module extends <a href="../../ingestion/hadoop.html">Druid Hadoop based indexing</a> to ingest data directly from offline
Apache Parquet files. </p>
<p>Note: <code>druid-parquet-extensions</code> depends on the <code>druid-avro-extensions</code> module, so be sure to
<a href="../../operations/including-extensions.html">include both</a>.</p>
<h2 id="parquet-hadoop-parser">Parquet Hadoop Parser</h2>
<p>This extension provides two ways to parse Parquet files:
* <code>parquet</code> - using a simple conversion contained within this extension
* <code>parquet-avro</code> - conversion to avro records with the <code>parquet-avro</code> library and using the <code>druid-avro-extensions</code>
module to parse the avro data</p>
<p>Selection of conversion method is controlled by parser type, and the correct hadoop input format must also be set in
the <code>ioConfig</code>, <code>org.apache.druid.data.input.parquet.DruidParquetInputFormat</code> for <code>parquet</code> and
<code>org.apache.druid.data.input.parquet.DruidParquetAvroInputFormat</code> for <code>parquet-avro</code>.</p>
<p>Both parse options support auto field discovery and flattening if provided with a
<a href="../../ingestion/flatten-json.html">flattenSpec</a> with <code>parquet</code> or <code>avro</code> as the <code>format</code>. Parquet nested list and map
<a href="https://github.com/apache/parquet-format/blob/master/LogicalTypes.md">logical types</a> <em>should</em> operate correctly with
json path expressions for all supported types. <code>parquet-avro</code> sets a hadoop job property
<code>parquet.avro.add-list-element-records</code> to <code>false</code> (which normally defaults to <code>true</code>), in order to &#39;unwrap&#39; primitive
list elements into multi-value dimensions.</p>
<p>The <code>parquet</code> parser supports <code>int96</code> Parquet values, while <code>parquet-avro</code> does not. There may also be some subtle
differences in the behavior of json path expression evaluation of <code>flattenSpec</code>.</p>
<p>We suggest using <code>parquet</code> over <code>parquet-avro</code> to allow ingesting data beyond the schema constraints of Avro conversion.
However, <code>parquet-avro</code> was the original basis for this extension, and as such it is a bit more mature.</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>Choose <code>parquet</code> or <code>parquet-avro</code> to determine how Parquet files are parsed</td>
<td>yes</td>
</tr>
<tr>
<td>parseSpec</td>
<td>JSON Object</td>
<td>Specifies the timestamp and dimensions of the data, and optionally, a flatten spec. Valid parseSpec formats are <code>timeAndDims</code>, <code>parquet</code>, <code>avro</code> (if used with avro conversion).</td>
<td>yes</td>
</tr>
<tr>
<td>binaryAsString</td>
<td>Boolean</td>
<td>Specifies if the bytes parquet column which is not logically marked as a string or enum type should be converted to strings anyway.</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="examples">Examples</h3>
<h4 id="parquet-parser-parquet-parsespec"><code>parquet</code> parser, <code>parquet</code> parseSpec</h4>
<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;path/to/file.parquet&quot;</span>
<span class="p">},</span>
<span class="err">...</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;example&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;parquet&quot;</span><span class="p">,</span>
<span class="nt">&quot;flattenSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;useFieldDiscovery&quot;</span><span class="p">:</span> <span class="kc">true</span><span class="p">,</span>
<span class="nt">&quot;fields&quot;</span><span class="p">:</span> <span class="p">[</span>
<span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;path&quot;</span><span class="p">,</span>
<span class="nt">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;nestedDim&quot;</span><span class="p">,</span>
<span class="nt">&quot;expr&quot;</span><span class="p">:</span> <span class="s2">&quot;$.nestedData.dim1&quot;</span>
<span class="p">},</span>
<span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;path&quot;</span><span class="p">,</span>
<span class="nt">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;listDimFirstItem&quot;</span><span class="p">,</span>
<span class="nt">&quot;expr&quot;</span><span class="p">:</span> <span class="s2">&quot;$.listDim[1]&quot;</span>
<span class="p">}</span>
<span class="p">]</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;timestamp&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="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="err">...</span>
<span class="p">},</span>
<span class="nt">&quot;tuningConfig&quot;</span><span class="p">:</span> <span class="err">&lt;hadoop-tuning-config&gt;</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="err">}</span>
</code></pre></div>
<h4 id="parquet-parser-timeanddims-parsespec"><code>parquet</code> parser, <code>timeAndDims</code> parseSpec</h4>
<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;path/to/file.parquet&quot;</span>
<span class="p">},</span>
<span class="err">...</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;example&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;timestamp&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;dim1&quot;</span><span class="p">,</span>
<span class="s2">&quot;dim2&quot;</span><span class="p">,</span>
<span class="s2">&quot;dim3&quot;</span><span class="p">,</span>
<span class="s2">&quot;listDim&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="err">...</span>
<span class="p">},</span>
<span class="nt">&quot;tuningConfig&quot;</span><span class="p">:</span> <span class="err">&lt;hadoop-tuning-config&gt;</span>
<span class="p">}</span>
<span class="p">}</span>
</code></pre></div>
<h4 id="parquet-avro-parser-avro-parsespec"><code>parquet-avro</code> parser, <code>avro</code> parseSpec</h4>
<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.DruidParquetAvroInputFormat&quot;</span><span class="p">,</span>
<span class="nt">&quot;paths&quot;</span><span class="p">:</span> <span class="s2">&quot;path/to/file.parquet&quot;</span>
<span class="p">},</span>
<span class="err">...</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;example&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-avro&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;avro&quot;</span><span class="p">,</span>
<span class="nt">&quot;flattenSpec&quot;</span><span class="p">:</span> <span class="p">{</span>
<span class="nt">&quot;useFieldDiscovery&quot;</span><span class="p">:</span> <span class="kc">true</span><span class="p">,</span>
<span class="nt">&quot;fields&quot;</span><span class="p">:</span> <span class="p">[</span>
<span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;path&quot;</span><span class="p">,</span>
<span class="nt">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;nestedDim&quot;</span><span class="p">,</span>
<span class="nt">&quot;expr&quot;</span><span class="p">:</span> <span class="s2">&quot;$.nestedData.dim1&quot;</span>
<span class="p">},</span>
<span class="p">{</span>
<span class="nt">&quot;type&quot;</span><span class="p">:</span> <span class="s2">&quot;path&quot;</span><span class="p">,</span>
<span class="nt">&quot;name&quot;</span><span class="p">:</span> <span class="s2">&quot;listDimFirstItem&quot;</span><span class="p">,</span>
<span class="nt">&quot;expr&quot;</span><span class="p">:</span> <span class="s2">&quot;$.listDim[1]&quot;</span>
<span class="p">}</span>
<span class="p">]</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;timestamp&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="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="err">...</span>
<span class="p">},</span>
<span class="nt">&quot;tuningConfig&quot;</span><span class="p">:</span> <span class="err">&lt;hadoop-tuning-config&gt;</span>
<span class="p">}</span>
<span class="p">}</span>
<span class="err">}</span>
</code></pre></div>
<p>For additional details see <a href="../../ingestion/hadoop.html">hadoop ingestion</a> and <a href="../../ingestion/ingestion-spec.html">general ingestion spec</a> documentation.</p>
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