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<title data-rh="true">Serving Tier | 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/architecture/metadata-serving"><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="Serving Tier | DataHub"><meta data-rh="true" name="description" content="The figure below shows the high-level system diagram for DataHub's Serving Tier."><meta data-rh="true" property="og:description" content="The figure below shows the high-level system diagram for DataHub's Serving Tier."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.datahub.com/docs/architecture/metadata-serving"><link data-rh="true" rel="alternate" href="https://docs.datahub.com/docs/architecture/metadata-serving" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.datahub.com/docs/architecture/metadata-serving" 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="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs" itemscope="" 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">Architecture</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">Serving Tier</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>DataHub Serving Architecture</h1><p>The figure below shows the high-level system diagram for DataHub's Serving Tier.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/datahub-serving.png" class="img_ev3q"></p><p>The primary component is called <a href="https://github.com/datahub-project/datahub/blob/master/metadata-service" target="_blank" rel="noopener noreferrer">the Metadata Service</a> and exposes a REST API and a GraphQL API for performing CRUD operations on metadata. The service also exposes search and graph query API-s to support secondary-index style queries, full-text search queries as well as relationship queries like lineage. In addition, the <a href="https://github.com/datahub-project/datahub/blob/master/datahub-frontend" target="_blank" rel="noopener noreferrer">datahub-frontend</a> service expose a GraphQL API on top of the metadata graph.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="datahub-serving-tier-components">DataHub Serving Tier Components<a href="#datahub-serving-tier-components" class="hash-link" aria-label="Direct link to DataHub Serving Tier Components" title="Direct link to DataHub Serving Tier Components"></a></h2><h3 class="anchor anchorWithStickyNavbar_LWe7" id="metadata-storage">Metadata Storage<a href="#metadata-storage" class="hash-link" aria-label="Direct link to Metadata Storage" title="Direct link to Metadata Storage"></a></h3><p>The DataHub Metadata Service persists metadata in a document store (an RDBMS like MySQL, Postgres, or Cassandra, etc.).</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="metadata-change-log-stream-mcl">Metadata Change Log Stream (MCL)<a href="#metadata-change-log-stream-mcl" class="hash-link" aria-label="Direct link to Metadata Change Log Stream (MCL)" title="Direct link to Metadata Change Log Stream (MCL)"></a></h3><p>The DataHub Service Tier also emits a commit event <a href="/docs/what/mxe#metadata-change-log-mcl">Metadata Change Log</a> when a metadata change has been successfully committed to persistent storage. This event is sent over Kafka.</p><p>The MCL stream is a public API and can be subscribed to by external systems (for example, the Actions Framework) providing an extremely powerful way to react in real-time to changes happening in metadata. For example, you could build an access control enforcer that reacts to change in metadata (e.g. a previously world-readable dataset now has a pii field) to immediately lock down the dataset in question.
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Note that not all MCP-s will result in an MCL, because the DataHub serving tier will ignore any duplicate changes to metadata.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="metadata-index-applier-mae-consumer-job">Metadata Index Applier (mae-consumer-job)<a href="#metadata-index-applier-mae-consumer-job" class="hash-link" aria-label="Direct link to Metadata Index Applier (mae-consumer-job)" title="Direct link to Metadata Index Applier (mae-consumer-job)"></a></h3><p><a href="/docs/what/mxe#metadata-change-log-mcl">Metadata Change Log</a>s are consumed by another Spring job, <a href="https://github.com/datahub-project/datahub/blob/master/metadata-jobs/mae-consumer-job" target="_blank" rel="noopener noreferrer">mae-consumer-job</a>, which applies the changes to the <a href="/docs/what/graph">graph</a> and <a href="/docs/what/search-index">search index</a> accordingly.
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The job is entity-agnostic and will execute corresponding graph & search index builders, which will be invoked by the job when a specific metadata aspect is changed.
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The builder should instruct the job how to update the graph and search index based on the metadata change.</p><p>To ensure that metadata changes are processed in the correct chronological order, MCLs are keyed by the entity <a href="/docs/what/urn">URN</a> — meaning all MAEs for a particular entity will be processed sequentially by a single thread.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="metadata-query-serving">Metadata Query Serving<a href="#metadata-query-serving" class="hash-link" aria-label="Direct link to Metadata Query Serving" title="Direct link to Metadata Query Serving"></a></h3><p>Primary-key based reads (e.g. getting schema metadata for a dataset based on the <code>dataset-urn</code>) on metadata are routed to the document store. Secondary index based reads on metadata are routed to the search index (or alternately can use the strongly consistent secondary index support described <a href="https://github.com/datahub-project/datahub/blob/master/docs/architecture/" target="_blank" rel="noopener noreferrer">here</a>). Full-text and advanced search queries are routed to the search index. Complex graph queries such as lineage are routed to the graph index.</p></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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