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        </script></nav></div><div class="container mainContainer"><div class="wrapper"><div class="post"><header class="postHeader"><a class="edit-page-link button" href="https://github.com/apache/incubator-druid/edit/master/docs/development/extensions-contrib/distinctcount.md" target="_blank" rel="noreferrer noopener">Edit</a><h1 class="postHeaderTitle">DistinctCount Aggregator</h1></header><article><div><span><!--
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<p>To use this Apache Druid (incubating) extension, make sure to <a href="/docs/latest/development/extensions.html#loading-extensions">include</a> the <code>druid-distinctcount</code> extension.</p>
<p>Additionally, follow these steps:</p>
<ol>
<li>First, use a single dimension hash-based partition spec to partition data by a single dimension. For example visitor_id. This to make sure all rows with a particular value for that dimension will go into the same segment, or this might over count.</li>
<li>Second, use distinctCount to calculate the distinct count, make sure queryGranularity is divided exactly by segmentGranularity or else the result will be wrong.</li>
</ol>
<p>There are some limitations, when used with groupBy, the groupBy keys' numbers should not exceed maxIntermediateRows in every segment. If exceeded the result will be wrong. When used with topN, numValuesPerPass should not be too big. If too big the distinctCount will use a lot of memory and might cause the JVM to go our of memory.</p>
<p>Example:</p>
<h2><a class="anchor" aria-hidden="true" id="timeseries-query"></a><a href="#timeseries-query" 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>Timeseries query</h2>
<pre><code class="hljs css language-json">{
  <span class="hljs-attr">"queryType"</span>: <span class="hljs-string">"timeseries"</span>,
  <span class="hljs-attr">"dataSource"</span>: <span class="hljs-string">"sample_datasource"</span>,
  <span class="hljs-attr">"granularity"</span>: <span class="hljs-string">"day"</span>,
  <span class="hljs-attr">"aggregations"</span>: [
    {
      <span class="hljs-attr">"type"</span>: <span class="hljs-string">"distinctCount"</span>,
      <span class="hljs-attr">"name"</span>: <span class="hljs-string">"uv"</span>,
      <span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"visitor_id"</span>
    }
  ],
  <span class="hljs-attr">"intervals"</span>: [
    <span class="hljs-string">"2016-03-01T00:00:00.000/2013-03-20T00:00:00.000"</span>
  ]
}
</code></pre>
<h2><a class="anchor" aria-hidden="true" id="topn-query"></a><a href="#topn-query" 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>TopN query</h2>
<pre><code class="hljs css language-json">{
  <span class="hljs-attr">"queryType"</span>: <span class="hljs-string">"topN"</span>,
  <span class="hljs-attr">"dataSource"</span>: <span class="hljs-string">"sample_datasource"</span>,
  <span class="hljs-attr">"dimension"</span>: <span class="hljs-string">"sample_dim"</span>,
  <span class="hljs-attr">"threshold"</span>: <span class="hljs-number">5</span>,
  <span class="hljs-attr">"metric"</span>: <span class="hljs-string">"uv"</span>,
  <span class="hljs-attr">"granularity"</span>: <span class="hljs-string">"all"</span>,
  <span class="hljs-attr">"aggregations"</span>: [
    {
      <span class="hljs-attr">"type"</span>: <span class="hljs-string">"distinctCount"</span>,
      <span class="hljs-attr">"name"</span>: <span class="hljs-string">"uv"</span>,
      <span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"visitor_id"</span>
    }
  ],
  <span class="hljs-attr">"intervals"</span>: [
    <span class="hljs-string">"2016-03-06T00:00:00/2016-03-06T23:59:59"</span>
  ]
}
</code></pre>
<h2><a class="anchor" aria-hidden="true" id="groupby-query"></a><a href="#groupby-query" 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>GroupBy query</h2>
<pre><code class="hljs css language-json">{
  <span class="hljs-attr">"queryType"</span>: <span class="hljs-string">"groupBy"</span>,
  <span class="hljs-attr">"dataSource"</span>: <span class="hljs-string">"sample_datasource"</span>,
  <span class="hljs-attr">"dimensions"</span>: <span class="hljs-string">"[sample_dim]"</span>,
  <span class="hljs-attr">"granularity"</span>: <span class="hljs-string">"all"</span>,
  <span class="hljs-attr">"aggregations"</span>: [
    {
      <span class="hljs-attr">"type"</span>: <span class="hljs-string">"distinctCount"</span>,
      <span class="hljs-attr">"name"</span>: <span class="hljs-string">"uv"</span>,
      <span class="hljs-attr">"fieldName"</span>: <span class="hljs-string">"visitor_id"</span>
    }
  ],
  <span class="hljs-attr">"intervals"</span>: [
    <span class="hljs-string">"2016-03-06T00:00:00/2016-03-06T23:59:59"</span>
  ]
}
</code></pre>
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