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Sketches are data structures implementing approximate streaming mergeable algorithms. Sketches can be ingested from the outside of Druid or built from raw data at ingestion time. Sketches can be stored in Druid segments as additive metrics.</p><p>To use the datasketches aggregators, make sure you <a href="/docs/latest/configuration/extensions#loading-extensions">include</a> the extension in your config file:</p><div class="codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-text codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">druid.extensions.loadList=["druid-datasketches"]</span><br></span></code></pre><div class="buttonGroup__atx"><button type="button" aria-label="Copy code to clipboard" title="Copy" class="clean-btn"><span class="copyButtonIcons_eSgA" aria-hidden="true"><svg viewBox="0 0 24 24" class="copyButtonIcon_y97N"><path fill="currentColor" d="M19,21H8V7H19M19,5H8A2,2 0 0,0 6,7V21A2,2 0 0,0 8,23H19A2,2 0 0,0 21,21V7A2,2 0 0,0 19,5M16,1H4A2,2 0 0,0 2,3V17H4V3H16V1Z"></path></svg><svg viewBox="0 0 24 24" class="copyButtonSuccessIcon_LjdS"><path fill="currentColor" d="M21,7L9,19L3.5,13.5L4.91,12.09L9,16.17L19.59,5.59L21,7Z"></path></svg></span></button></div></div></div><p>The following modules are available:</p><ul><li><a href="/docs/latest/development/extensions-core/datasketches-theta">Theta sketch</a> - approximate distinct counting with set operations (union, intersection and set difference).</li><li><a href="/docs/latest/development/extensions-core/datasketches-tuple">Tuple sketch</a> - extension of Theta sketch to support values associated with distinct keys (arrays of numeric values in this specialized implementation).</li><li><a href="/docs/latest/development/extensions-core/datasketches-quantiles">Quantiles sketch</a> - approximate distribution of comparable values to obtain ranks, quantiles and histograms. This is a specialized implementation for numeric values.</li><li><a href="/docs/latest/development/extensions-core/datasketches-kll">KLL Quantiles sketch</a> - approximate distribution of comparable values to obtain ranks, quantiles and histograms. This is a specialized implementation for numeric values. This is a more advanced algorithm compared to the classic quantiles above, sketches are more compact for the same accuracy, or more accurate for the same size.</li><li><a href="/docs/latest/development/extensions-core/datasketches-hll">HLL sketch</a> - approximate distinct counting using very compact HLL sketch.</li></ul></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"></nav></div></div></div></div></main></div></div><footer class="footer"><div class="container container-fluid"><div class="footer__bottom text--center"><div class="margin-bottom--sm"><img src="/img/favicon.png" class="themedImage_ToTc themedImage--light_HNdA footer__logo"><img src="/img/favicon.png" class="themedImage_ToTc themedImage--dark_i4oU footer__logo"></div><div class="footer__copyright">Copyright © 2023 Apache Software Foundation. Except where otherwise noted, licensed under CC BY-SA 4.0. 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