<!DOCTYPE html><html lang="en"><head><meta charSet="utf-8"/><meta http-equiv="X-UA-Compatible" content="IE=edge"/><title>Apache Parquet Extension · Apache Druid</title><meta name="viewport" content="width=device-width"/><link rel="canonical" href="https://druid.apache.org/docs/0.16.1-incubating/development/extensions-core/parquet.html"/><meta name="generator" content="Docusaurus"/><meta name="description" content="&lt;!--"/><meta name="docsearch:language" content="en"/><meta name="docsearch:version" content="0.16.1-incubating" /><meta property="og:title" content="Apache Parquet Extension · 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 Apache Druid (incubating) module extends <a href="/docs/0.16.1-incubating/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="/docs/0.16.1-incubating/development/extensions.html#loading-extensions">include  both</a>.</p>
<h2><a class="anchor" aria-hidden="true" id="parquet-hadoop-parser"></a><a href="#parquet-hadoop-parser" 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>Parquet Hadoop Parser</h2>
<p>This extension provides two ways to parse Parquet files:</p>
<ul>
<li><code>parquet</code> - using a simple conversion contained within this extension</li>
<li><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</li>
</ul>
<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>:</p>
<ul>
<li><code>org.apache.druid.data.input.parquet.DruidParquetInputFormat</code> for <code>parquet</code></li>
<li><code>org.apache.druid.data.input.parquet.DruidParquetAvroInputFormat</code> for <code>parquet-avro</code></li>
</ul>
<p>Both parse options support auto field discovery and flattening if provided with a
<a href="/docs/0.16.1-incubating/ingestion/index.html#flattenspec"><code>flattenSpec</code></a> with <code>parquet</code> or <code>avro</code> as the format. 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 'unwrap' 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><a class="anchor" aria-hidden="true" id="examples"></a><a href="#examples" 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>Examples</h3>
<h4><a class="anchor" aria-hidden="true" id="parquet-parser-parquet-parsespec"></a><a href="#parquet-parser-parquet-parsespec" 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><code>parquet</code> parser, <code>parquet</code> parseSpec</h4>
<pre><code class="hljs css language-json">{
  "type": "index_hadoop",
  "spec": {
    "ioConfig": {
      "type": "hadoop",
      "inputSpec": {
        "type": "static",
        "inputFormat": "org.apache.druid.data.input.parquet.DruidParquetInputFormat",
        "paths": "path/to/file.parquet"
      },
      ...
    },
    "dataSchema": {
      "dataSource": "example",
      "parser": {
        "type": "parquet",
        "parseSpec": {
          "format": "parquet",
          "flattenSpec": {
            "useFieldDiscovery": true,
            "fields": [
              {
                "type": "path",
                "name": "nestedDim",
                "expr": "$.nestedData.dim1"
              },
              {
                "type": "path",
                "name": "listDimFirstItem",
                "expr": "$.listDim[1]"
              }
            ]
          },
          "timestampSpec": {
            "column": "timestamp",
            "format": "auto"
          },
          "dimensionsSpec": {
            "dimensions": [],
            "dimensionExclusions": [],
            "spatialDimensions": []
          }
        }
      },
      ...
    },
    "tuningConfig": &lt;hadoop-tuning-config&gt;
    }
  }
}
</code></pre>
<h4><a class="anchor" aria-hidden="true" id="parquet-parser-timeanddims-parsespec"></a><a href="#parquet-parser-timeanddims-parsespec" 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><code>parquet</code> parser, <code>timeAndDims</code> parseSpec</h4>
<pre><code class="hljs css language-json">{
  "type": "index_hadoop",
  "spec": {
    "ioConfig": {
      "type": "hadoop",
      "inputSpec": {
        "type": "static",
        "inputFormat": "org.apache.druid.data.input.parquet.DruidParquetInputFormat",
        "paths": "path/to/file.parquet"
      },
      ...
    },
    "dataSchema": {
      "dataSource": "example",
      "parser": {
        "type": "parquet",
        "parseSpec": {
          "format": "timeAndDims",
          "timestampSpec": {
            "column": "timestamp",
            "format": "auto"
          },
          "dimensionsSpec": {
            "dimensions": [
              "dim1",
              "dim2",
              "dim3",
              "listDim"
            ],
            "dimensionExclusions": [],
            "spatialDimensions": []
          }
        }
      },
      ...
    },
    "tuningConfig": &lt;hadoop-tuning-config&gt;
  }
}

</code></pre>
<h4><a class="anchor" aria-hidden="true" id="parquet-avro-parser-avro-parsespec"></a><a href="#parquet-avro-parser-avro-parsespec" 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><code>parquet-avro</code> parser, <code>avro</code> parseSpec</h4>
<pre><code class="hljs css language-json">{
  "type": "index_hadoop",
  "spec": {
    "ioConfig": {
      "type": "hadoop",
      "inputSpec": {
        "type": "static",
        "inputFormat": "org.apache.druid.data.input.parquet.DruidParquetAvroInputFormat",
        "paths": "path/to/file.parquet"
      },
      ...
    },
    "dataSchema": {
      "dataSource": "example",
      "parser": {
        "type": "parquet-avro",
        "parseSpec": {
          "format": "avro",
          "flattenSpec": {
            "useFieldDiscovery": true,
            "fields": [
              {
                "type": "path",
                "name": "nestedDim",
                "expr": "$.nestedData.dim1"
              },
              {
                "type": "path",
                "name": "listDimFirstItem",
                "expr": "$.listDim[1]"
              }
            ]
          },
          "timestampSpec": {
            "column": "timestamp",
            "format": "auto"
          },
          "dimensionsSpec": {
            "dimensions": [],
            "dimensionExclusions": [],
            "spatialDimensions": []
          }
        }
      },
      ...
    },
    "tuningConfig": &lt;hadoop-tuning-config&gt;
    }
  }
}
</code></pre>
<p>For additional details see <a href="/docs/0.16.1-incubating/ingestion/hadoop.html">Hadoop ingestion</a> and <a href="/docs/0.16.1-incubating/ingestion/index.html">general ingestion spec</a> documentation.</p>
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