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itemtype="https://schema.org/BreadcrumbList"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Data management</span><meta itemprop="position" content="1"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Data updates</span><meta itemprop="position" content="2"></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Data updates</h1></header><h2 class="anchor anchorWithStickyNavbar_LWe7" id="overwrite">Overwrite<a href="#overwrite" class="hash-link" aria-label="Direct link to Overwrite" title="Direct link to Overwrite"></a></h2><p>Apache Druid stores data <a href="/docs/27.0.0/design/architecture#datasources-and-segments">partitioned by time chunk</a> and supports
overwriting existing data using time ranges. Data outside the replacement time range is not touched. Overwriting of
existing data is done using the same mechanisms as <a href="/docs/27.0.0/ingestion/#batch">batch ingestion</a>.</p><p>For example:</p><ul><li><a href="/docs/27.0.0/ingestion/native-batch">Native batch</a> with <code>appendToExisting: false</code>, and <code>intervals</code> set to a specific
time range, overwrites data for that time range.</li><li><a href="/docs/27.0.0/multi-stage-query/reference#replace">SQL <code>REPLACE &lt;table&gt; OVERWRITE [ALL | WHERE ...]</code></a> overwrites data for
the entire table or for a specified time range.</li></ul><p>In both cases, Druid&#x27;s atomic update mechanism ensures that queries will flip seamlessly from the old data to the new
data on a time-chunk-by-time-chunk basis.</p><p>Ingestion and overwriting cannot run concurrently for the same time range of the same datasource. While an overwrite job
is ongoing for a particular time range of a datasource, new ingestions for that time range are queued up. Ingestions for
other time ranges proceed as normal. Read-only queries also proceed as normal, using the pre-existing version of the
data.</p><div class="theme-admonition theme-admonition-info alert alert--info admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_S0QG"><p> Druid does not support single-record updates by primary key.</p></div></div><h2 class="anchor anchorWithStickyNavbar_LWe7" id="reindex">Reindex<a href="#reindex" class="hash-link" aria-label="Direct link to Reindex" title="Direct link to Reindex"></a></h2><p>Reindexing is an <a href="#overwrite">overwrite of existing data</a> where the source of new data is the existing data itself. It
is used to perform schema changes, repartition data, filter out unwanted data, enrich existing data, and so on. This
behaves just like any other <a href="#overwrite">overwrite</a> with regard to atomic updates and locking.</p><p>With <a href="/docs/27.0.0/ingestion/native-batch">native batch</a>, use the <a href="/docs/27.0.0/ingestion/input-sources#druid-input-source"><code>druid</code> input
source</a>. If needed,
<a href="/docs/27.0.0/ingestion/ingestion-spec#transformspec"><code>transformSpec</code></a> can be used to filter or modify data during the
reindexing job.</p><p>With SQL, use <a href="/docs/27.0.0/multi-stage-query/reference#replace"><code>REPLACE &lt;table&gt; OVERWRITE</code></a> with <code>SELECT ... FROM &lt;table&gt;</code>.
(Druid does not have <code>UPDATE</code> or <code>ALTER TABLE</code> statements.) Any SQL SELECT query can be used to filter,
modify, or enrich the data during the reindexing job.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="rolled-up-datasources">Rolled-up datasources<a href="#rolled-up-datasources" class="hash-link" aria-label="Direct link to Rolled-up datasources" title="Direct link to Rolled-up datasources"></a></h2><p>Rolled-up datasources can be effectively updated using appends, without rewrites. When you append a row that has an
identical set of dimensions to an existing row, queries that use aggregation operators automatically combine those two
rows together at query time.</p><p><a href="/docs/27.0.0/data-management/compaction">Compaction</a> or <a href="/docs/27.0.0/data-management/automatic-compaction">automatic compaction</a> can be used to physically combine these
matching rows together later on, by rewriting segments in the background.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="lookups">Lookups<a href="#lookups" class="hash-link" aria-label="Direct link to Lookups" title="Direct link to Lookups"></a></h2><p>If you have a dimension where values need to be updated frequently, try first using <a href="/docs/27.0.0/querying/lookups">lookups</a>. A
classic use case of lookups is when you have an ID dimension stored in a Druid segment, and want to map the ID dimension to a
human-readable string that may need to be updated periodically.</p></div></article><nav class="pagination-nav docusaurus-mt-lg" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/docs/27.0.0/data-management/"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Overview</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/docs/27.0.0/data-management/delete"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Data deletion</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#overwrite" class="table-of-contents__link toc-highlight">Overwrite</a></li><li><a href="#reindex" class="table-of-contents__link toc-highlight">Reindex</a></li><li><a href="#rolled-up-datasources" class="table-of-contents__link toc-highlight">Rolled-up datasources</a></li><li><a href="#lookups" class="table-of-contents__link toc-highlight">Lookups</a></li></ul></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. Apache Druid, Druid, and the Druid logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</div></div></div></footer></div>
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