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<h2 title="Class ApproximateUnique" class="title">Class ApproximateUnique</h2>
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<pre>public class <span class="typeNameLabel">ApproximateUnique</span>
extends java.lang.Object</pre>
<div class="block"><code>PTransform</code>s for estimating the number of distinct elements in a <code>PCollection</code>, or
the number of distinct values associated with each key in a <code>PCollection</code> of <code>KV</code>s.
<p>Consider using <code>HllCount</code> in the <code>zetasketch</code> extension module if you need better
performance or need to save intermediate aggregation result into a sketch for later processing.
<p>For example, to estimate the number of distinct elements in a <code>PCollection&lt;String&gt;</code>:
<pre><code>
PCollection&lt;String&gt; input = ...;
PCollection&lt;Long&gt; countDistinct =
input.apply(HllCount.Init.forStrings().globally()).apply(HllCount.Extract.globally());
</code></pre>
For more details about using <code>HllCount</code> and the <code>zetasketch</code> extension module, see
https://s.apache.org/hll-in-beam#bookmark=id.v6chsij1ixo7.</div>
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<th class="colFirst" scope="col">Modifier and Type</th>
<th class="colLast" scope="col">Class and Description</th>
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<td class="colFirst"><code>static class&nbsp;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.ApproximateUniqueCombineFn.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.ApproximateUniqueCombineFn</a>&lt;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.ApproximateUniqueCombineFn.html" title="type parameter in ApproximateUnique.ApproximateUniqueCombineFn">T</a>&gt;</span></code>
<div class="block"><code>CombineFn</code> that computes an estimate of the number of distinct values that were
combined.</div>
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<tr class="rowColor">
<td class="colFirst"><code>static class&nbsp;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.Globally.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.Globally</a>&lt;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.Globally.html" title="type parameter in ApproximateUnique.Globally">T</a>&gt;</span></code>
<div class="block"><code>PTransform</code> for estimating the number of distinct elements in a <code>PCollection</code>.</div>
</td>
</tr>
<tr class="altColor">
<td class="colFirst"><code>static class&nbsp;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.PerKey.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.PerKey</a>&lt;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.PerKey.html" title="type parameter in ApproximateUnique.PerKey">K</a>,<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.PerKey.html" title="type parameter in ApproximateUnique.PerKey">V</a>&gt;</span></code>
<div class="block"><code>PTransform</code> for estimating the number of distinct values associated with each key in a
<code>PCollection</code> of <code>KV</code>s.</div>
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<td class="colFirst"><code>static &lt;T&gt;&nbsp;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.Globally.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.Globally</a>&lt;T&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#globally-double-">globally</a></span>(double&nbsp;maximumEstimationError)</code>
<div class="block">Like <a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#globally-int-"><code>globally(int)</code></a>, but specifies the desired maximum estimation error instead of the
sample size.</div>
</td>
</tr>
<tr id="i1" class="rowColor">
<td class="colFirst"><code>static &lt;T&gt;&nbsp;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.Globally.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.Globally</a>&lt;T&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#globally-int-">globally</a></span>(int&nbsp;sampleSize)</code>
<div class="block">Returns a <code>PTransform</code> that takes a <code>PCollection&lt;T&gt;</code> and returns a <code>PCollection&lt;Long&gt;</code> containing a single value that is an estimate of the number of distinct
elements in the input <code>PCollection</code>.</div>
</td>
</tr>
<tr id="i2" class="altColor">
<td class="colFirst"><code>static &lt;K,V&gt;&nbsp;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.PerKey.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.PerKey</a>&lt;K,V&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#perKey-double-">perKey</a></span>(double&nbsp;maximumEstimationError)</code>
<div class="block">Like <a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#perKey-int-"><code>perKey(int)</code></a>, but specifies the desired maximum estimation error instead of the
sample size.</div>
</td>
</tr>
<tr id="i3" class="rowColor">
<td class="colFirst"><code>static &lt;K,V&gt;&nbsp;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.PerKey.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.PerKey</a>&lt;K,V&gt;</code></td>
<td class="colLast"><code><span class="memberNameLink"><a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#perKey-int-">perKey</a></span>(int&nbsp;sampleSize)</code>
<div class="block">Returns a <code>PTransform</code> that takes a <code>PCollection&lt;KV&lt;K, V&gt;&gt;</code> and returns a <code>PCollection&lt;KV&lt;K, Long&gt;&gt;</code> that contains an output element mapping each distinct key in the
input <code>PCollection</code> to an estimate of the number of distinct values associated with that
key in the input <code>PCollection</code>.</div>
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<h4>ApproximateUnique</h4>
<pre>public&nbsp;ApproximateUnique()</pre>
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<h4>globally</h4>
<pre>public static&nbsp;&lt;T&gt;&nbsp;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.Globally.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.Globally</a>&lt;T&gt;&nbsp;globally(int&nbsp;sampleSize)</pre>
<div class="block">Returns a <code>PTransform</code> that takes a <code>PCollection&lt;T&gt;</code> and returns a <code>PCollection&lt;Long&gt;</code> containing a single value that is an estimate of the number of distinct
elements in the input <code>PCollection</code>.
<p>The <code>sampleSize</code> parameter controls the estimation error. The error is about <code>2
/ sqrt(sampleSize)</code>, so for <code>ApproximateUnique.globally(10000)</code> the estimation error is
about 2%. Similarly, for <code>ApproximateUnique.of(16)</code> the estimation error is about 50%. If
there are fewer than <code>sampleSize</code> distinct elements then the returned result will be
exact with extremely high probability (the chance of a hash collision is about <code>sampleSize^2 / 2^65</code>).
<p>This transform approximates the number of elements in a set by computing the top <code>sampleSize</code> hash values, and using that to extrapolate the size of the entire set of hash
values by assuming the rest of the hash values are as densely distributed as the top <code>sampleSize</code>.
<p>See also <a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#globally-double-"><code>globally(double)</code></a>.
<p>Example of use:
<pre><code>
PCollection&lt;String&gt; pc = ...;
PCollection&lt;Long&gt; approxNumDistinct =
pc.apply(ApproximateUnique.&lt;String&gt;globally(1000));
</code></pre></div>
<dl>
<dt><span class="paramLabel">Type Parameters:</span></dt>
<dd><code>T</code> - the type of the elements in the input <code>PCollection</code></dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>sampleSize</code> - the number of entries in the statistical sample; the higher this number, the
more accurate the estimate will be; should be <code>&gt;= 16</code></dd>
<dt><span class="throwsLabel">Throws:</span></dt>
<dd><code>java.lang.IllegalArgumentException</code> - if the <code>sampleSize</code> argument is too small</dd>
</dl>
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<h4>globally</h4>
<pre>public static&nbsp;&lt;T&gt;&nbsp;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.Globally.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.Globally</a>&lt;T&gt;&nbsp;globally(double&nbsp;maximumEstimationError)</pre>
<div class="block">Like <a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#globally-int-"><code>globally(int)</code></a>, but specifies the desired maximum estimation error instead of the
sample size.</div>
<dl>
<dt><span class="paramLabel">Type Parameters:</span></dt>
<dd><code>T</code> - the type of the elements in the input <code>PCollection</code></dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>maximumEstimationError</code> - the maximum estimation error, which should be in the range <code>[0.01, 0.5]</code></dd>
<dt><span class="throwsLabel">Throws:</span></dt>
<dd><code>java.lang.IllegalArgumentException</code> - if the <code>maximumEstimationError</code> argument is out of range</dd>
</dl>
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<h4>perKey</h4>
<pre>public static&nbsp;&lt;K,V&gt;&nbsp;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.PerKey.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.PerKey</a>&lt;K,V&gt;&nbsp;perKey(int&nbsp;sampleSize)</pre>
<div class="block">Returns a <code>PTransform</code> that takes a <code>PCollection&lt;KV&lt;K, V&gt;&gt;</code> and returns a <code>PCollection&lt;KV&lt;K, Long&gt;&gt;</code> that contains an output element mapping each distinct key in the
input <code>PCollection</code> to an estimate of the number of distinct values associated with that
key in the input <code>PCollection</code>.
<p>See <a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#globally-int-"><code>globally(int)</code></a> for an explanation of the <code>sampleSize</code> parameter. A
separate sampling is computed for each distinct key of the input.
<p>See also <a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#perKey-double-"><code>perKey(double)</code></a>.
<p>Example of use:
<pre><code>
PCollection&lt;KV&lt;Integer, String&gt;&gt; pc = ...;
PCollection&lt;KV&lt;Integer, Long&gt;&gt; approxNumDistinctPerKey =
pc.apply(ApproximateUnique.&lt;Integer, String&gt;perKey(1000));
</code></pre></div>
<dl>
<dt><span class="paramLabel">Type Parameters:</span></dt>
<dd><code>K</code> - the type of the keys in the input and output <code>PCollection</code>s</dd>
<dd><code>V</code> - the type of the values in the input <code>PCollection</code></dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>sampleSize</code> - the number of entries in the statistical sample; the higher this number, the
more accurate the estimate will be; should be <code>&gt;= 16</code></dd>
<dt><span class="throwsLabel">Throws:</span></dt>
<dd><code>java.lang.IllegalArgumentException</code> - if the <code>sampleSize</code> argument is too small</dd>
</dl>
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<h4>perKey</h4>
<pre>public static&nbsp;&lt;K,V&gt;&nbsp;<a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.PerKey.html" title="class in org.apache.beam.sdk.transforms">ApproximateUnique.PerKey</a>&lt;K,V&gt;&nbsp;perKey(double&nbsp;maximumEstimationError)</pre>
<div class="block">Like <a href="../../../../../org/apache/beam/sdk/transforms/ApproximateUnique.html#perKey-int-"><code>perKey(int)</code></a>, but specifies the desired maximum estimation error instead of the
sample size.</div>
<dl>
<dt><span class="paramLabel">Type Parameters:</span></dt>
<dd><code>K</code> - the type of the keys in the input and output <code>PCollection</code>s</dd>
<dd><code>V</code> - the type of the values in the input <code>PCollection</code></dd>
<dt><span class="paramLabel">Parameters:</span></dt>
<dd><code>maximumEstimationError</code> - the maximum estimation error, which should be in the range <code>[0.01, 0.5]</code></dd>
<dt><span class="throwsLabel">Throws:</span></dt>
<dd><code>java.lang.IllegalArgumentException</code> - if the <code>maximumEstimationError</code> argument is out of range</dd>
</dl>
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