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<title data-rh="true">Search and Graph Reindexing | DataHub</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.datahub.com/docs/how/restore-indices"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="Search and Graph Reindexing | DataHub"><meta data-rh="true" name="description" content="If your search infrastructure (Elasticsearch/OpenSearch) or graph services (Elasticsearch/OpenSearch/Neo4j) become inconsistent or out-of-sync with your primary metadata store, you can rebuild them from the source of truth: the metadataaspectv2 table in your relational database (MySQL/Postgres)."><meta data-rh="true" property="og:description" content="If your search infrastructure (Elasticsearch/OpenSearch) or graph services (Elasticsearch/OpenSearch/Neo4j) become inconsistent or out-of-sync with your primary metadata store, you can rebuild them from the source of truth: the metadataaspectv2 table in your relational database (MySQL/Postgres)."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.datahub.com/docs/how/restore-indices"><link data-rh="true" rel="alternate" href="https://docs.datahub.com/docs/how/restore-indices" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.datahub.com/docs/how/restore-indices" hreflang="x-default"><link data-rh="true" rel="preconnect" href="https://RK0UG797F3-dsn.algolia.net" crossorigin="anonymous"><link rel="alternate" type="application/rss+xml" href="/learn/rss.xml" title="DataHub RSS Feed">
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class="breadcrumbs__item"><span class="breadcrumbs__link">Advanced Guides</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">Search and Graph Reindexing</span><meta itemprop="position" content="2"></li></ul></nav><span class="theme-doc-version-badge badge badge--secondary">Version: Next</span><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"><h1>Search and Graph Reindexing</h1><p>If your search infrastructure (Elasticsearch/OpenSearch) or graph services (Elasticsearch/OpenSearch/Neo4j) become inconsistent or out-of-sync with your primary metadata store, you can <strong>rebuild them from the source of truth</strong>: the <code>metadata_aspect_v2</code> table in your relational database (MySQL/Postgres).</p><p>This process works by fetching the latest version of each aspect from the database and replaying them as Metadata Change Log (MCL) events. These events will regenerate your search and graph indexes, effectively restoring a consistent view.</p><blockquote><p>⚠️ <strong>Note</strong>: By default, this process does <strong>not remove</strong> stale documents from the index that no longer exist in the database. To ensure full consistency, we recommend reindexing into a clean instance, or using the <code>-a clean</code> option to wipe existing index contents before replay.</p></blockquote><hr><h2 class="anchor anchorWithStickyNavbar_LWe7" id="how-it-works">How it Works<a href="#how-it-works" class="hash-link" aria-label="Direct link to How it Works" title="Direct link to How it Works"></a></h2><p>Reindexing is powered by the <code>datahub-upgrade</code> utility (packaged as the <code>datahub-upgrade</code> container in Docker/Kubernetes). It supports a special upgrade task called <code>RestoreIndices</code>, which replays aspects from the database back into search and graph stores.</p><p>You can run this utility in three main environments:</p><ul><li>Quickstart (via CLI)</li><li>Docker Compose (via shell script)</li><li>Kubernetes (via Helm + CronJob)</li></ul><hr><h2 class="anchor anchorWithStickyNavbar_LWe7" id="reindexing-configuration-options">Reindexing Configuration Options<a href="#reindexing-configuration-options" class="hash-link" aria-label="Direct link to Reindexing Configuration Options" title="Direct link to Reindexing Configuration Options"></a></h2><p>When running the <code>RestoreIndices</code> job, you can pass additional arguments to customize the behavior:</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="-pagination--performance">🔄 Pagination &amp; Performance<a href="#-pagination--performance" class="hash-link" aria-label="Direct link to 🔄 Pagination &amp; Performance" title="Direct link to 🔄 Pagination &amp; Performance"></a></h3><table><thead><tr><th>Argument</th><th>Description</th></tr></thead><tbody><tr><td><code>urnBasedPagination</code></td><td>Use URN-based pagination instead of offset. Recommended for large datasets.</td></tr><tr><td><code>startingOffset</code></td><td>Starting offset for offset-based pagination.</td></tr><tr><td><code>lastUrn</code></td><td>Resume from this URN (used with URN pagination).</td></tr><tr><td><code>lastAspect</code></td><td>Resume from this aspect name (used with <code>lastUrn</code>).</td></tr><tr><td><code>numThreads</code></td><td>Number of concurrent threads for reindexing.</td></tr><tr><td><code>batchSize</code></td><td>Number of records per batch.</td></tr><tr><td><code>batchDelayMs</code></td><td>Delay in milliseconds between each batch (throttling).</td></tr></tbody></table><h3 class="anchor anchorWithStickyNavbar_LWe7" id="-time-filtering">📅 Time Filtering<a href="#-time-filtering" class="hash-link" aria-label="Direct link to 📅 Time Filtering" title="Direct link to 📅 Time Filtering"></a></h3><table><thead><tr><th>Argument</th><th>Description</th></tr></thead><tbody><tr><td><code>gePitEpochMs</code></td><td>Only restore aspects created <strong>after</strong> this timestamp (in ms).</td></tr><tr><td><code>lePitEpochMs</code></td><td>Only restore aspects created <strong>before</strong> this timestamp (in ms).</td></tr></tbody></table><h3 class="anchor anchorWithStickyNavbar_LWe7" id="-content-filtering">🔍 Content Filtering<a href="#-content-filtering" class="hash-link" aria-label="Direct link to 🔍 Content Filtering" title="Direct link to 🔍 Content Filtering"></a></h3><table><thead><tr><th>Argument</th><th>Description</th></tr></thead><tbody><tr><td><code>aspectNames</code></td><td>Comma-separated list of aspects to restore (e.g., <code>ownership,status</code>).</td></tr><tr><td><code>urnLike</code></td><td>SQL LIKE pattern to filter URNs (e.g., <code>urn:li:dataset%</code>).</td></tr></tbody></table><h3 class="anchor anchorWithStickyNavbar_LWe7" id="-other-options">🧱 Other Options<a href="#-other-options" class="hash-link" aria-label="Direct link to 🧱 Other Options" title="Direct link to 🧱 Other Options"></a></h3><table><thead><tr><th>Argument</th><th>Description</th></tr></thead><tbody><tr><td><code>createDefaultAspects</code></td><td>Whether to create default aspects in SQL &amp; index if missing. <strong>Disable</strong> this if using a read-only replica.</td></tr><tr><td><code>clean</code></td><td><strong>Deletes existing index documents before restoring.</strong> Use with caution.</td></tr></tbody></table><hr><h2 class="anchor anchorWithStickyNavbar_LWe7" id="running-the-restore-job">Running the Restore Job<a href="#running-the-restore-job" class="hash-link" aria-label="Direct link to Running the Restore Job" title="Direct link to Running the Restore Job"></a></h2><h3 class="anchor anchorWithStickyNavbar_LWe7" id="-quickstart-cli">🧪 Quickstart CLI<a href="#-quickstart-cli" class="hash-link" aria-label="Direct link to 🧪 Quickstart CLI" title="Direct link to 🧪 Quickstart CLI"></a></h3><p>If you&#x27;re using DataHub&#x27;s quickstart image, you can restore indices using a single CLI command:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">datahub </span><span class="token function" style="color:rgb(130, 170, 255)">docker</span><span class="token plain"> quickstart --restore-indices</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><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>This command automatically clears the search and graph indices before restoring them.</p></div></div><p>More details in the <a href="/docs/quickstart#restore-datahub">Quickstart Docs</a>.</p><hr><h3 class="anchor anchorWithStickyNavbar_LWe7" id="-docker-compose">🐳 Docker Compose<a href="#-docker-compose" class="hash-link" aria-label="Direct link to 🐳 Docker Compose" title="Direct link to 🐳 Docker Compose"></a></h3><p>If you&#x27;re using Docker Compose and have cloned the <a href="https://github.com/datahub-project/datahub" target="_blank" rel="noopener noreferrer">DataHub source repo</a>, run:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">./docker/datahub-upgrade/datahub-upgrade.sh -u RestoreIndices</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>To clear existing index contents before restore (recommended if you suspect inconsistencies), add <code>-a clean</code>:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">./docker/datahub-upgrade/datahub-upgrade.sh -u RestoreIndices -a clean</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><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>Without the <code>-a clean</code> flag, old documents may remain in your search/graph index, even if they no longer exist in your SQL database.</p></div></div><p>Refer to the <a href="/docs/docker/datahub-upgrade#environment-variables">Upgrade Script Docs</a> for more info on environment configuration.</p><hr><h3 class="anchor anchorWithStickyNavbar_LWe7" id="-kubernetes-helm">☸️ Kubernetes (Helm)<a href="#-kubernetes-helm" class="hash-link" aria-label="Direct link to ☸️ Kubernetes (Helm)" title="Direct link to ☸️ Kubernetes (Helm)"></a></h3><ol><li><strong>Check if the Job Template Exists</strong></li></ol><p>Run:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">kubectl get cronjobs</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>You should see a result like:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">datahub-datahub-restore-indices-job-template</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>If not, make sure you&#x27;re using the latest Helm chart version that includes the restore job.</p><ol start="2"><li><strong>Trigger the Restore Job</strong></li></ol><p>Run:</p><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">kubectl create job --from</span><span class="token operator" style="color:rgb(137, 221, 255)">=</span><span class="token plain">cronjob/datahub-datahub-restore-indices-job-template datahub-restore-indices-adhoc</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>This will create and run a one-off job to restore indices from your SQL database.</p><ol start="3"><li><strong>To Enable Clean Reindexing</strong></li></ol><p>Edit your <code>values.yaml</code> to include the <code>-a clean</code> argument:</p><div class="language-yaml codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-yaml codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token key atrule">datahubUpgrade</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token key atrule">restoreIndices</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token key atrule">image</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token key atrule">args</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">-</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;-u&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">-</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;RestoreIndices&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">-</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;-a&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">-</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;batchSize=1000&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">-</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;-a&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">-</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;batchDelayMs=100&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">-</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;-a&quot;</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">-</span><span class="token plain"> </span><span class="token string" style="color:rgb(195, 232, 141)">&quot;clean&quot;</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><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>The default job does <strong>not</strong> delete existing documents before restoring. Add <code>-a clean</code> to ensure full sync.</p></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="through-apis">Through APIs<a href="#through-apis" class="hash-link" aria-label="Direct link to Through APIs" title="Direct link to Through APIs"></a></h3><p>See also the <a href="#best-practices">Best Practices</a> section below, however note that the APIs are able to handle a few thousand
aspects. In this mode one of the GMS instances will perform the required actions, however it is subject to timeout. Use one of the
approaches above for longer running restoreIndices.</p><h4 class="anchor anchorWithStickyNavbar_LWe7" id="openapi">OpenAPI<a href="#openapi" class="hash-link" aria-label="Direct link to OpenAPI" title="Direct link to OpenAPI"></a></h4><p>There are two primary APIs, one which exposes the common parameters for restoreIndices and another one designed
to accept a list of URNs where all aspects are to be restored.</p><p>Full configuration:</p><p align="center"><img loading="lazy" width="80%" src="https://github.com/datahub-project/static-assets/blob/main/imgs/how/restore-indices/openapi-restore-indices.png?raw=true" class="img_ev3q"></p><p>All Aspects:</p><p align="center"><img loading="lazy" width="80%" src="https://github.com/datahub-project/static-assets/blob/main/imgs/how/restore-indices/openapi-restore-indices-urns.png?raw=true" class="img_ev3q"></p><h4 class="anchor anchorWithStickyNavbar_LWe7" id="restli">Rest.li<a href="#restli" class="hash-link" aria-label="Direct link to Rest.li" title="Direct link to Rest.li"></a></h4><p>For Rest.li, see <a href="/docs/api/restli/restore-indices">Restore Indices API</a>.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="cli">CLI<a href="#cli" class="hash-link" aria-label="Direct link to CLI" title="Direct link to CLI"></a></h3><p>The <a href="/docs/cli">datahub CLI</a> also supports a utility command for restoring indices.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="best-practices">Best Practices<a href="#best-practices" class="hash-link" aria-label="Direct link to Best Practices" title="Direct link to Best Practices"></a></h2><p>In general, this process is not required to run unless there has been a disruption of storage services or infrastructure,
such as Elasticsearch/Opensearch cluster failures, data corruption events, or significant version upgrade inconsistencies
that have caused the search and graph indices to become out of sync with the local database.</p><p>Some pointers to keep in mind when running this process:</p><ul><li>Always test reindexing in a <strong>staging environment</strong> first.</li><li>Consider taking a backup of your Elasticsearch/OpenSearch index before a <code>clean</code> restore.</li><li>For very large deployments, use <code>urnBasedPagination</code> and limit <code>batchSize</code> to avoid overloading your backend.</li><li>Monitor Elasticsearch/OpenSearch logs during the restore for throttling or memory issues.</li></ul><h3 class="anchor anchorWithStickyNavbar_LWe7" id="k8-job-vs-api">K8 Job vs. API<a href="#k8-job-vs-api" class="hash-link" aria-label="Direct link to K8 Job vs. API" title="Direct link to K8 Job vs. API"></a></h3><h4 class="anchor anchorWithStickyNavbar_LWe7" id="when-to-use-kubernetes-jobs">When to Use Kubernetes Jobs<a href="#when-to-use-kubernetes-jobs" class="hash-link" aria-label="Direct link to When to Use Kubernetes Jobs" title="Direct link to When to Use Kubernetes Jobs"></a></h4><p>For operations affecting 2,000 or more aspects, it&#x27;s strongly recommended to use the Kubernetes job approach. This job is
designed for long-running processes and provide several advantages:</p><ul><li>Won&#x27;t time out like API calls</li><li>Can be monitored through Kubernetes logging</li><li>Won&#x27;t consume resources from your primary GMS instances</li><li>Can be scheduled during off-peak hours to minimize system impact</li></ul><h4 class="anchor anchorWithStickyNavbar_LWe7" id="when-to-use-apis">When to Use APIs<a href="#when-to-use-apis" class="hash-link" aria-label="Direct link to When to Use APIs" title="Direct link to When to Use APIs"></a></h4><p>The RestoreIndices APIs (available through both Rest.li and OpenAPI) is best suited for:</p><ul><li>Targeted restores affecting fewer than 2,000 aspects</li><li>Emergencies where you need to quickly restore critical metadata</li><li>Testing or validating the restore process before running a full-scale job</li><li>Scenarios where you don&#x27;t have direct access to the Kubernetes cluster</li></ul><p>Remember that API-based restoration runs within one of your GMS instances and is subject to timeouts, which could lead to
incomplete restorations for larger installations.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="targeted-restoration-strategies">Targeted Restoration Strategies<a href="#targeted-restoration-strategies" class="hash-link" aria-label="Direct link to Targeted Restoration Strategies" title="Direct link to Targeted Restoration Strategies"></a></h3><p>Being selective about what you restore is crucial for efficiency. Combining these filtering strategies can dramatically
reduce the restoration scope, saving resources and time.</p><h4 class="anchor anchorWithStickyNavbar_LWe7" id="entity-type-filtering">Entity Type Filtering<a href="#entity-type-filtering" class="hash-link" aria-label="Direct link to Entity Type Filtering" title="Direct link to Entity Type Filtering"></a></h4><p>Entity Type Filtering: Use the <code>urnLike</code> parameter to target specific entity types:</p><ul><li>For datasets: <code>urnLike=urn:li:dataset:%</code></li><li>For users: <code>urnLike=urn:li:corpuser:%</code></li><li>For dashboards: <code>urnLike=urn:li:dashboard:%</code></li></ul><h4 class="anchor anchorWithStickyNavbar_LWe7" id="single-entity">Single Entity<a href="#single-entity" class="hash-link" aria-label="Direct link to Single Entity" title="Direct link to Single Entity"></a></h4><p>Single Entity Restoration: When only one entity is affected, provide the specific URN to minimize processing overhead.
Aspect-Based Filtering: Use aspectNames to target only the specific aspects that need restoration:</p><ul><li>For ownership inconsistencies: <code>aspectNames=ownership</code></li><li>For tag issues: <code>aspectNames=globalTags</code></li></ul><h4 class="anchor anchorWithStickyNavbar_LWe7" id="time-based">Time-Based<a href="#time-based" class="hash-link" aria-label="Direct link to Time-Based" title="Direct link to Time-Based"></a></h4><p>Time-Based Recovery: If you know when the inconsistency began, use time-based filtering:</p><ul><li>gePitEpochMs={timestamp} to process only records created after the incident</li><li>lePitEpochMs={timestamp} to limit processing to records before a certain time</li></ul><h3 class="anchor anchorWithStickyNavbar_LWe7" id="parallel-processing-strategies">Parallel Processing Strategies<a href="#parallel-processing-strategies" class="hash-link" aria-label="Direct link to Parallel Processing Strategies" title="Direct link to Parallel Processing Strategies"></a></h3><p>To optimize restoration speed while managing system load:</p><h4 class="anchor anchorWithStickyNavbar_LWe7" id="multiple-parallel-jobs">Multiple Parallel Jobs<a href="#multiple-parallel-jobs" class="hash-link" aria-label="Direct link to Multiple Parallel Jobs" title="Direct link to Multiple Parallel Jobs"></a></h4><p>Run several restoreIndices processes simultaneously by:</p><ul><li>Work on non-overlapping sets of aspects or entities<ul><li>Dividing work by entity type (one job for datasets, another for users, etc.)</li><li>Splitting aspects among different jobs (one for ownership aspects, another for lineage, etc.)</li><li>Partitioning large entity types by prefix or time range</li></ul></li><li>Have staggered start times to prevent initial resource contention</li><li>Monitor system metrics closely during concurrent restoration to ensure you&#x27;re not overloading your infrastructure.</li></ul><div class="theme-admonition theme-admonition-caution alert alert--warning admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>caution</div><div class="admonitionContent_S0QG"><p>Avoid Conflicts: Ensure that concurrent jobs:</p><p>Never specify the --clean argument in concurrent jobs</p></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="temporary-workload-reduction">Temporary Workload Reduction<a href="#temporary-workload-reduction" class="hash-link" aria-label="Direct link to Temporary Workload Reduction" title="Direct link to Temporary Workload Reduction"></a></h3><ul><li>Pause scheduled ingestion jobs during restoration</li><li>Temporarily disable or reduce frequency of the datahub-gc job to prevent conflicting deletes</li><li>Consider pausing automated workflows or integrations that generate metadata events</li></ul><h3 class="anchor anchorWithStickyNavbar_LWe7" id="infrastructure-tuning">Infrastructure Tuning<a href="#infrastructure-tuning" class="hash-link" aria-label="Direct link to Infrastructure Tuning" title="Direct link to Infrastructure Tuning"></a></h3><p>Implementing these expanded best practices should help ensure a smoother, more efficient restoration process while
minimizing impact on your DataHub environment.</p><p>This operation can be I/O intensive from the read-side from SQL and on the Elasticsearch write side. If you&#x27;re able to leverage
provisioned I/O. or throughput, you might want to monitor your infrastructure for a possible.</p><h4 class="anchor anchorWithStickyNavbar_LWe7" id="elasticsearchopensearch-optimization">Elasticsearch/Opensearch Optimization<a href="#elasticsearchopensearch-optimization" class="hash-link" aria-label="Direct link to Elasticsearch/Opensearch Optimization" title="Direct link to Elasticsearch/Opensearch Optimization"></a></h4><p>To improve write performance during restoration:</p><h5 class="anchor anchorWithStickyNavbar_LWe7" id="refresh-interval-adjustment">Refresh Interval Adjustment:<a href="#refresh-interval-adjustment" class="hash-link" aria-label="Direct link to Refresh Interval Adjustment:" title="Direct link to Refresh Interval Adjustment:"></a></h5><p>Temporarily increase the refresh_interval setting from the default (typically 1s) to something like 30s or 60s.
Run the system update job with the following environment variable <code>ELASTICSEARCH_INDEX_BUILDER_REFRESH_INTERVAL_SECONDS=60</code></p><div class="theme-admonition theme-admonition-caution alert alert--warning admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>caution</div><div class="admonitionContent_S0QG"><p>Remember to reset this after restoration completes!</p></div></div><h5 class="anchor anchorWithStickyNavbar_LWe7" id="bulk-processing-improvements">Bulk Processing Improvements:<a href="#bulk-processing-improvements" class="hash-link" aria-label="Direct link to Bulk Processing Improvements:" title="Direct link to Bulk Processing Improvements:"></a></h5><ul><li>Adjust the Elasticsearch batching parameters to optimize bulk request size (try values between 2000-5000)<ul><li>Run your GMS or <code>mae-consumer</code> with environment variables<ul><li><code>ES_BULK_REQUESTS_LIMIT=3000</code></li><li><code>ES_BULK_FLUSH_PERIOD=60</code></li></ul></li></ul></li><li>Configure <code>batchDelayMs</code> on restoreIndices to add breathing room between batches if your cluster is struggling</li></ul><h5 class="anchor anchorWithStickyNavbar_LWe7" id="shard-management">Shard Management:<a href="#shard-management" class="hash-link" aria-label="Direct link to Shard Management:" title="Direct link to Shard Management:"></a></h5><ul><li>Ensure your indices have an appropriate number of shards for your cluster size.</li><li>Consider temporarily adding nodes to your search cluster during massive restorations.</li></ul><h4 class="anchor anchorWithStickyNavbar_LWe7" id="sqlprimary-storage">SQL/Primary Storage<a href="#sqlprimary-storage" class="hash-link" aria-label="Direct link to SQL/Primary Storage" title="Direct link to SQL/Primary Storage"></a></h4><p>Consider using a read replica as the source of the job&#x27;s data. If you configure a read-only replica
you must also provide the parameter <code>createDefaultAspects=false</code>.</p><h4 class="anchor anchorWithStickyNavbar_LWe7" id="kafka--consumers">Kafka &amp; Consumers<a href="#kafka--consumers" class="hash-link" aria-label="Direct link to Kafka &amp; Consumers" title="Direct link to Kafka &amp; Consumers"></a></h4><h5 class="anchor anchorWithStickyNavbar_LWe7" id="partition-strategy">Partition Strategy:<a href="#partition-strategy" class="hash-link" aria-label="Direct link to Partition Strategy:" title="Direct link to Partition Strategy:"></a></h5><ul><li>Verify that the Kafka Metadata Change Log (MCL) topic have enough partitions to allow for parallel processing.</li><li>Recommended: At least 10-20 partitions for the MCL topic in production environments.</li></ul><h5 class="anchor anchorWithStickyNavbar_LWe7" id="consumer-scaling">Consumer Scaling:<a href="#consumer-scaling" class="hash-link" aria-label="Direct link to Consumer Scaling:" title="Direct link to Consumer Scaling:"></a></h5><ul><li>Temporarily increase the number of <code>mae-consumer</code> pods to process the higher event volume.</li><li>Scale GMS instances if they&#x27;re handling consumer duties.</li></ul><h5 class="anchor anchorWithStickyNavbar_LWe7" id="monitoring">Monitoring:<a href="#monitoring" class="hash-link" aria-label="Direct link to Monitoring:" title="Direct link to Monitoring:"></a></h5><ul><li>Watch consumer lag metrics closely during restoration.</li><li>Be prepared to adjust scaling or batch parameters if consumers fall behind.</li></ul></div><footer class="theme-doc-footer docusaurus-mt-lg"><div class="slackUtm_uoBr"><div class="slackUtm_uoBr"><hr>Need more help? 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