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<title data-rh="true">UI Based Ingestion / Managed Ingestion | 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/1.1.0/ui-ingestion"><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="1.1.0"><meta data-rh="true" name="docusaurus_tag" content="docs-default-1.1.0"><meta data-rh="true" name="docsearch:version" content="1.1.0"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-1.1.0"><meta data-rh="true" property="og:title" content="UI Based Ingestion / Managed Ingestion | DataHub"><meta data-rh="true" name="description" content="Introduction"><meta data-rh="true" property="og:description" content="Introduction"><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.datahub.com/docs/1.1.0/ui-ingestion"><link data-rh="true" rel="alternate" href="https://docs.datahub.com/docs/1.1.0/ui-ingestion" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.datahub.com/docs/1.1.0/ui-ingestion" 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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<div role="region" aria-label="Skip to main content"><a class="skipToContent_fXgn" href="#__docusaurus_skipToContent_fallback">Skip to main content</a></div><div class="announcementBar_mb4j" style="background-color:transparent;color:#ffffff" role="banner"><div class="content_knG7 announcementBarContent_xLdY"><div class="shimmer-banner"><p>DataHub Secures $35 Million Series B</p><a href="https://datahub.com/news/series-b-announcement/" target="_blank" class="button"><div>Read the announcement<span> →</span></div></a></div></div></div><nav aria-label="Main" class="navbar navbar--fixed-top"><div class="navbar__inner"><div class="navbar__items"><button aria-label="Toggle navigation bar" aria-expanded="false" class="navbar__toggle clean-btn" type="button"><svg width="30" height="30" viewBox="0 0 30 30" aria-hidden="true"><path stroke="currentColor" stroke-linecap="round" stroke-miterlimit="10" stroke-width="2" d="M4 7h22M4 15h22M4 23h22"></path></svg></button><a href="https://datahub.com" target="_blank" rel="noopener noreferrer" class="navbar__brand"><div class="navbar__logo"><img src="/img/datahub-logo-color-light-horizontal.svg" alt="DataHub Logo" class="themedImage_ToTc themedImage--light_HNdA"><img src="/img/datahub-logo-color-dark-horizontal.svg" alt="DataHub Logo" class="themedImage_ToTc themedImage--dark_i4oU"></div></a><div class="navbar__item dropdown dropdown--hoverable"><a href="#" aria-haspopup="true" aria-expanded="false" role="button" class="navbar__link versionNavItem_cbn8">1.1.0</a><ul class="dropdown__menu"><li><a class="dropdown__link" href="/docs/ui-ingestion">Next</a></li><li><a aria-current="page" class="dropdown__link dropdown__link--active" href="/docs/1.1.0/ui-ingestion">1.1.0</a></li><li><hr class="dropdown-separator" style="margin: 0.4rem;"></li><li><div class="dropdown__link"><b>Archived versions</b></div></li><li>
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<style>
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.cloud-cta {
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color: var(--ifm-menu-color-active);
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font-weight: 600;
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background: linear-gradient(40deg, var(--ifm-menu-color-active), var(--ifm-menu-color-active));
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background-size: 200% 100%;
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-webkit-background-clip: text;
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background-clip: text;
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transition: background-image 0.3s ease;
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}
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.cloud-cta:hover {
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color: transparent;
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background: linear-gradient(40deg, var(--ifm-menu-color-active), #ff1493);
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background-size: 200% 100%;
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-webkit-background-clip: text;
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background-clip: text;
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animation: gradientShift 3s ease infinite;
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}
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@keyframes gradientShift {
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0%, 100% { background-position: 0% 50%; }
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50% { background-position: 100% 50%; }
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}
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<div class="cloud-cta">Get Cloud</div>
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opacity: 0.8;
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<img class="slack-logo" src="https://upload.wikimedia.org/wikipedia/commons/d/d5/Slack_icon_2019.svg" , alt="slack" , height="20px" style="margin: 10px 0 0 0;">
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getting metadata into DataHub easier by minimizing the overhead required to operate custom integration pipelines.</p><p>This document will describe the steps required to configure, schedule, and execute metadata ingestion inside the UI.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="running-metadata-ingestion">Running Metadata Ingestion<a href="#running-metadata-ingestion" class="hash-link" aria-label="Direct link to Running Metadata Ingestion" title="Direct link to Running Metadata Ingestion"></a></h2><h3 class="anchor anchorWithStickyNavbar_LWe7" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites"></a></h3><p>To view & manage UI-based metadata ingestion, you must have the <code>Manage Metadata Ingestion</code> & <code>Manage Secrets</code>
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privileges assigned to your account. These can be granted by a <a href="/docs/1.1.0/authorization/policies">Platform Policy</a>.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/ingestion-privileges.png" class="img_ev3q"></p><p>Once you have these privileges, you can begin to manage ingestion by navigating to the 'Ingestion' tab in DataHub.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/ingestion-tab.png" class="img_ev3q"></p><p>On this page, you'll see a list of active <strong>Ingestion Sources</strong>. An Ingestion Sources is a unique source of metadata ingested
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into DataHub from an external source like Snowflake, Redshift, or BigQuery.</p><p>If you're just getting started, you won't have any sources. In the following sections, we'll describe how to create
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your first <strong>Ingestion Source</strong>.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="creating-an-ingestion-source">Creating an Ingestion Source<a href="#creating-an-ingestion-source" class="hash-link" aria-label="Direct link to Creating an Ingestion Source" title="Direct link to Creating an Ingestion Source"></a></h3><div class="tabs-container tabList__CuJ"><ul role="tablist" aria-orientation="horizontal" class="tabs"><li role="tab" tabindex="0" aria-selected="true" class="tabs__item tabItem_LNqP tabs__item--active">UI</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">CLI</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">GraphQL</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"><p>Before ingesting any metadata, you need to create a new Ingestion Source. Start by clicking <strong>+ Create new source</strong>.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/create-new-ingestion-source-button.png" class="img_ev3q"></p><h4 class="anchor anchorWithStickyNavbar_LWe7" id="step-1-select-a-platform-template">Step 1: Select a Platform Template<a href="#step-1-select-a-platform-template" class="hash-link" aria-label="Direct link to Step 1: Select a Platform Template" title="Direct link to Step 1: Select a Platform Template"></a></h4><p>In the first step, select a <strong>Recipe Template</strong> corresponding to the source type that you'd like to extract metadata from. Choose among
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a variety of natively supported integrations, from Snowflake to Postgres to Kafka.
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Select <code>Custom</code> to construct an ingestion recipe from scratch.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/select-platform-template.png" class="img_ev3q"></p><p>Next, you'll configure an ingestion <strong>Recipe</strong>, which defines <em>how</em> and <em>what</em> to extract from the source system.</p><h4 class="anchor anchorWithStickyNavbar_LWe7" id="step-2-configure-a-recipe">Step 2: Configure a Recipe<a href="#step-2-configure-a-recipe" class="hash-link" aria-label="Direct link to Step 2: Configure a Recipe" title="Direct link to Step 2: Configure a Recipe"></a></h4><p>Next, you'll define an ingestion <strong>Recipe</strong> in <a href="https://yaml.org/" target="_blank" rel="noopener noreferrer">YAML</a>. A <a href="/docs/metadata-ingestion/#recipes">Recipe</a> is a set of configurations which is
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used by DataHub to extract metadata from a 3rd party system. It most often consists of the following parts:</p><ol><li><p>A source <strong>type</strong>: The type of system you'd like to extract metadata from (e.g. snowflake, mysql, postgres). If you've chosen a native template, this will already be populated for you.
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To view a full list of currently supported <strong>types</strong>, check out <a href="/docs/metadata-ingestion/#installing-plugins">this list</a>.</p></li><li><p>A source <strong>config</strong>: A set of configurations specific to the source <strong>type</strong>. Most sources support the following types of configuration values:</p><ul><li><strong>Coordinates</strong>: The location of the system you want to extract metadata from</li><li><strong>Credentials</strong>: Authorized credentials for accessing the system you want to extract metadata from</li><li><strong>Customizations</strong>: Customizations regarding the metadata that will be extracted, e.g. which databases or tables to scan in a relational DB</li></ul></li><li><p>A sink <strong>type</strong>: A type of sink to route the metadata extracted from the source type. The officially supported DataHub sink
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types are <code>datahub-rest</code> and <code>datahub-kafka</code>.</p></li><li><p>A sink <strong>config</strong>: Configuration required to send metadata to the provided sink type. For example, DataHub coordinates and credentials.</p></li></ol><p>A sample of a full recipe configured to ingest metadata from MySQL can be found in the image below.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/example-mysql-recipe.png" class="img_ev3q"></p><p>Detailed configuration examples & documentation for each source type can be found on the <a href="/docs/metadata-ingestion/">DataHub Docs</a> website.</p><h5 class="anchor anchorWithStickyNavbar_LWe7" id="creating-a-secret">Creating a Secret<a href="#creating-a-secret" class="hash-link" aria-label="Direct link to Creating a Secret" title="Direct link to Creating a Secret"></a></h5><p>For production use cases, sensitive configuration values, such as database usernames and passwords,
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should be hidden from plain view within your ingestion recipe. To accomplish this, you can create & embed <strong>Secrets</strong>. Secrets are named values
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that are encrypted and stored within DataHub's storage layer.</p><p>To create a secret, first navigate to the 'Secrets' tab. Then click <code>+ Create new secret</code>.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/create-secret.png" class="img_ev3q"></p><p><em>Creating a Secret to store the username for a MySQL database</em></p><p>Inside the form, provide a unique name for the secret along with the value to be encrypted, and an optional description. Click <strong>Create</strong> when you are done.
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This will create a Secret which can be referenced inside your ingestion recipe using its name.</p><h5 class="anchor anchorWithStickyNavbar_LWe7" id="referencing-a-secret">Referencing a Secret<a href="#referencing-a-secret" class="hash-link" aria-label="Direct link to Referencing a Secret" title="Direct link to Referencing a Secret"></a></h5><p>Once a Secret has been created, it can be referenced from within your <strong>Recipe</strong> using variable substitution. For example,
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to substitute secrets for a MySQL username and password into a Recipe, your Recipe would be defined as follows:</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">source</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">type</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> mysql</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token key atrule">config</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">host_port</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)">"localhost:3306"</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">database</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> my_db</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token key atrule">username</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> $</span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain">MYSQL_USERNAME</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">password</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> $</span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain">MYSQL_PASSWORD</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">include_tables</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token boolean important" style="color:rgb(255, 88, 116)">true</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">include_views</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token boolean important" style="color:rgb(255, 88, 116)">true</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">profiling</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">enabled</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token boolean important" style="color:rgb(255, 88, 116)">true</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></sp
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Secret values are not persisted to disk beyond execution time, and are never transmitted outside DataHub.</p><blockquote><p><strong>Attention</strong>: Any DataHub users who have been granted the <code>Manage Secrets</code> <a href="/docs/1.1.0/authorization/policies">Platform Privilege</a> will be able to retrieve plaintext secret values using the GraphQL API.</p></blockquote><h4 class="anchor anchorWithStickyNavbar_LWe7" id="step-3-schedule-execution">Step 3: Schedule Execution<a href="#step-3-schedule-execution" class="hash-link" aria-label="Direct link to Step 3: Schedule Execution" title="Direct link to Step 3: Schedule Execution"></a></h4><p>Next, you can optionally configure a schedule on which to execute your new Ingestion Source. This enables to schedule metadata extraction on a monthly, weekly, daily, or hourly cadence depending on the needs of your organization.
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Schedules are defined using CRON format.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/schedule-ingestion.png" class="img_ev3q"></p><p><em>An Ingestion Source that is executed at 9:15am every day, Los Angeles time</em></p><p>To learn more about the CRON scheduling format, check out the <a href="https://en.wikipedia.org/wiki/Cron" target="_blank" rel="noopener noreferrer">Wikipedia</a> overview.</p><p>If you plan to execute ingestion on an ad-hoc basis, you can click <strong>Skip</strong> to skip the scheduling step entirely. Don't worry -
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you can always come back and change this.</p><h4 class="anchor anchorWithStickyNavbar_LWe7" id="step-4-finishing-up">Step 4: Finishing Up<a href="#step-4-finishing-up" class="hash-link" aria-label="Direct link to Step 4: Finishing Up" title="Direct link to Step 4: Finishing Up"></a></h4><p>Finally, give your Ingestion Source a name.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/name-ingestion-source.png" class="img_ev3q"></p><p>Once you're happy with your configurations, click 'Done' to save your changes.</p><h5 class="anchor anchorWithStickyNavbar_LWe7" id="advanced-ingestion-configs">Advanced ingestion configs:<a href="#advanced-ingestion-configs" class="hash-link" aria-label="Direct link to Advanced ingestion configs:" title="Direct link to Advanced ingestion configs:"></a></h5><p>DataHub's Managed Ingestion UI comes pre-configured to use the latest version of the DataHub CLI (<a href="https://pypi.org/project/acryl-datahub/" target="_blank" rel="noopener noreferrer">acryl-datahub</a>) that is compatible
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with the server. However, you can override the default package version using the 'Advanced' source configurations.</p><p>To do so, simply click 'Advanced', then change the 'CLI Version' text box to contain the exact version
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of the DataHub CLI you'd like to use.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/custom-ingestion-cli-version.png" class="img_ev3q"></p><p><em>Pinning the CLI version to version <code>0.8.23.2</code></em></p><p>Other advanced options include specifying <strong>environment variables</strong>, <strong>DataHub plugins</strong> or <strong>python packages at runtime</strong>.</p><p>Once you're happy with your changes, simply click 'Done' to save.</p></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>You can upload and even update recipes using the cli as mentioned in the <a href="/docs/1.1.0/cli#ingest-deploy">cli documentation for uploading ingestion recipes</a>.
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An example execution for a given <code>recipe.yaml</code> file, would look something 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 ingest deploy --name </span><span class="token string" style="color:rgb(195, 232, 141)">"My Test Ingestion Source"</span><span class="token plain"> --schedule </span><span class="token string" style="color:rgb(195, 232, 141)">"5 * * * *"</span><span class="token plain"> --time-zone </span><span class="token string" style="color:rgb(195, 232, 141)">"UTC"</span><span class="token plain"> -c recipe.yaml</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 would create a new recipe with the name <code>My Test Ingestion Source</code>. Note that to update an existing recipe, it's <code>urn</code> id must be passed as a parameter.
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DataHub supports having multiple recipes with the same name so to distinguish them we use the urn for unique identification.</p></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>Create ingestion sources using <a href="/docs/1.1.0/api/graphql/overview">DataHub's GraphQL API</a> using the <strong>createIngestionSource</strong> mutation endpoint.</p><div class="language-graphql codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-graphql codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token keyword" style="font-style:italic">mutation</span><span class="token plain"> </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 property-query property-mutation property-mutation">createIngestionSource</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 attr-name" style="color:rgb(255, 203, 107)">input</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </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 attr-name" style="color:rgb(255, 203, 107)">name</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token description string" style="color:rgb(195, 232, 141)">"</span><span class="token description string language-markdown" style="color:rgb(195, 232, 141)">My Test Ingestion Source</span><span class="token description string" style="color:rgb(195, 232, 141)">"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token attr-name" style="color:rgb(255, 203, 107)">type</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token description string" style="color:rgb(195, 232, 141)">"</span><span class="token description string language-markdown" style="color:rgb(195, 232, 141)">mysql</span><span class="token description string" style="color:rgb(195, 232, 141)">"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token attr-name" style="color:rgb(255, 203, 107)">description</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token description string" style="color:rgb(195, 232, 141)">"</span><span class="token description string language-markdown" style="color:rgb(195, 232, 141)">My ingestion source description</span><span class="token description string" style="color:rgb(195, 232, 141)">"</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"> </span><span class="token attr-name" style="color:rgb(255, 203, 107)">schedule</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> </span><span class="token punctuation" style="color:rgb(199, 146, 234)">{</span><span class="token plain"> </span><span class="token attr-name" style="color:rgb(255, 203, 107)">interval</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)">"*/5 * * * *"</span><span class="token punctuation" style="co
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you should see the 'Last Status' column of the ingestion source change from <code>N/A</code> to <code>Running</code>. This
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means that the request to execute ingestion has been successfully picked up by the DataHub ingestion executor.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/running-ingestion.png" class="img_ev3q"></p><p>If ingestion has executed successfully, you should see it's state shown in green as <code>Succeeded</code>.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/successful-ingestion.png" class="img_ev3q"></p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="cancelling-an-ingestion-run">Cancelling an Ingestion Run<a href="#cancelling-an-ingestion-run" class="hash-link" aria-label="Direct link to Cancelling an Ingestion Run" title="Direct link to Cancelling an Ingestion Run"></a></h3><p>If your ingestion run is hanging, there may a bug in the ingestion source, or another persistent issue like exponential timeouts. If these situations,
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you can cancel ingestion by clicking <strong>Cancel</strong> on the problematic run.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/cancelled-ingestion.png" class="img_ev3q"></p><p>Once cancelled, you can view the output of the ingestion run by clicking <strong>Details</strong>.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="debugging-a-failed-ingestion-run">Debugging a Failed Ingestion Run<a href="#debugging-a-failed-ingestion-run" class="hash-link" aria-label="Direct link to Debugging a Failed Ingestion Run" title="Direct link to Debugging a Failed Ingestion Run"></a></h3><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/failed-ingestion.png" class="img_ev3q"></p><p>A variety of things can cause an ingestion run to fail. Common reasons for failure include:</p><ol><li><strong>Recipe Misconfiguration</strong>: A recipe has not provided the required or expected configurations for the ingestion source. You can refer
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to the <a href="/docs/metadata-ingestion">Metadata Ingestion Framework</a> source docs to learn more about the configurations required for your source type.</li><li><strong>Failure to resolve Secrets</strong>: If DataHub is unable to find secrets that were referenced by your Recipe configuration, the ingestion run will fail.
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Verify that the names of the secrets referenced in your recipe match those which have been created.</li><li><strong>Connectivity / Network Reachability</strong>: If DataHub is unable to reach a data source, for example due to DNS resolution
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failures, metadata ingestion will fail. Ensure that the network where DataHub is deployed has access to the data source which
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you are trying to reach.</li><li><strong>Authentication</strong>: If you've enabled <a href="/docs/1.1.0/authentication/introducing-metadata-service-authentication">Metadata Service Authentication</a>, you'll need to provide a Personal Access Token
|
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in your Recipe Configuration. To so this, set the 'token' field of the sink configuration to contain a Personal Access Token:</li></ol><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/ingestion-with-token.png" class="img_ev3q"></p><p>The output of each run is captured and available to view in the UI for easier debugging. To view output logs, click <strong>DETAILS</strong>
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on the corresponding ingestion run.</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/ingestion-logs.png" class="img_ev3q"></p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="faq">FAQ<a href="#faq" class="hash-link" aria-label="Direct link to FAQ" title="Direct link to FAQ"></a></h2><h3 class="anchor anchorWithStickyNavbar_LWe7" id="i-tried-to-ingest-metadata-after-running-datahub-docker-quickstart-but-ingestion-is-failing-with-failed-to-connect-errors-what-do-i-do">I tried to ingest metadata after running 'datahub docker quickstart', but ingestion is failing with 'Failed to Connect' errors. What do I do?<a href="#i-tried-to-ingest-metadata-after-running-datahub-docker-quickstart-but-ingestion-is-failing-with-failed-to-connect-errors-what-do-i-do" class="hash-link" aria-label="Direct link to I tried to ingest metadata after running 'datahub docker quickstart', but ingestion is failing with 'Failed to Connect' errors. What do I do?" title="Direct link to I tried to ingest metadata after running 'datahub docker quickstart', but ingestion is failing with 'Failed to Connect' errors. What do I do?"></a></h3><p>If not due to one of the reasons outlined above, this may be because the executor running ingestion is unable
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to reach DataHub's backend using the default configurations. Try changing your ingestion recipe to make the <code>sink.config.server</code> variable point to the Docker
|
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DNS name for the <code>datahub-gms</code> pod:</p><p align="center"><img loading="lazy" width="70%" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/quickstart-ingestion-config.png" class="img_ev3q"></p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="i-see-na-when-i-try-to-run-ingestion-what-do-i-do">I see 'N/A' when I try to run ingestion. What do I do?<a href="#i-see-na-when-i-try-to-run-ingestion-what-do-i-do" class="hash-link" aria-label="Direct link to I see 'N/A' when I try to run ingestion. What do I do?" title="Direct link to I see 'N/A' when I try to run ingestion. What do I do?"></a></h3><p>If you see 'N/A', and the ingestion run state never changes to 'Running', this may mean
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that your executor (<code>datahub-actions</code>) container is down.</p><p>This container is responsible for executing requests to run ingestion when they come in, either
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on demand on a particular schedule. You can verify the health of the container using <code>docker ps</code>. Moreover, you can inspect the container logs using by finding the container id
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for the <code>datahub-actions</code> container and running <code>docker logs <container-id></code>.</p><h3 class="anchor anchorWithStickyNavbar_LWe7" id="when-should-i-not-use-ui-ingestion">When should I NOT use UI Ingestion?<a href="#when-should-i-not-use-ui-ingestion" class="hash-link" aria-label="Direct link to When should I NOT use UI Ingestion?" title="Direct link to When should I NOT use UI Ingestion?"></a></h3><p>There are valid cases for ingesting metadata without the UI-based ingestion scheduler. For example,</p><ul><li>You have written a custom ingestion Source</li><li>Your data sources are not reachable on the network where DataHub is deployed. DataHub Cloud users can use a <a href="/docs/1.1.0/managed-datahub/operator-guide/setting-up-remote-ingestion-executor">remote executor</a> for remote UI-based ingestion.</li><li>Your ingestion source requires context from a local filesystem (e.g. input files)</li><li>You want to distribute metadata ingestion among multiple producers / environments</li></ul><h3 class="anchor anchorWithStickyNavbar_LWe7" id="how-do-i-attach-policies-to-the-actions-pod-to-give-it-permissions-to-pull-metadata-from-various-sources">How do I attach policies to the actions pod to give it permissions to pull metadata from various sources?<a href="#how-do-i-attach-policies-to-the-actions-pod-to-give-it-permissions-to-pull-metadata-from-various-sources" class="hash-link" aria-label="Direct link to How do I attach policies to the actions pod to give it permissions to pull metadata from various sources?" title="Direct link to How do I attach policies to the actions pod to give it permissions to pull metadata from various sources?"></a></h3><p>This varies across the underlying platform. For AWS, please refer to this <a href="/docs/1.1.0/deploy/aws#iam-policies-for-ui-based-ingestion">guide</a>.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="demo">Demo<a href="#demo" class="hash-link" aria-label="Direct link to Demo" title="Direct link to Demo"></a></h2><p>Click <a href="https://www.youtube.com/watch?v=EyMyLcaw_74" target="_blank" rel="noopener noreferrer">here</a> to see a full demo of the UI Ingestion feature.</p><h2 class="anchor anchorWithStickyNavbar_LWe7" id="feedback--questions--concerns">Feedback / Questions / Concerns<a href="#feedback--questions--concerns" class="hash-link" aria-label="Direct link to Feedback / Questions / Concerns" title="Direct link to Feedback / Questions / Concerns"></a></h2><p>We want to hear from you! For any inquiries, including Feedback, Questions, or Concerns, reach out on <a href="https://datahubspace.slack.com/join/shared_invite/zt-nx7i0dj7-I3IJYC551vpnvvjIaNRRGw#/shared-invite/email" target="_blank" rel="noopener noreferrer">Slack</a>!</p></div><footer class="theme-doc-footer docusaurus-mt-lg"><div class="slackUtm_uoBr"><div class="slackUtm_uoBr"><hr>Need more help? Join the conversation in <a href="https://datahub.com/slack?utm_source=docs&utm_medium=footer&utm_campaign=docs_footer&utm_content=docs/ui-ingestion">Slack!</a></div></div><div class="theme-doc-footer-edit-meta-row row"><div class="col"><a href="https://github.com/datahub-project/datahub/blob/master/docs/ui-ingestion.md" target="_blank" rel="noreferrer noopener" class="theme-edit-this-page"><svg fill="currentColor" height="20" width="20" viewBox="0 0 40 40" class="iconEdit_Z9Sw" aria-hidden="true"><g><path d="m34.5 11.7l-3 3.1-6.3-6.3 3.1-3q0.5-0.5 1.2-0.5t1.1 0.5l3.9 3.9q0.5 0.4 0.5 1.1t-0.5 1.2z m-29.5 17.1l18.4-18.5 6.3 6.3-18.4 18.4h-6.3v-6.2z"></path></g></svg>Edit this page</a></div><div class="col lastUpdated_VsjB"></div></div></footer><div class="feedbackWrapper_mUHF"><div class="feedbackWidget_PX4d"><div class="feedbackButtons_wn3V"><strong>Is this page helpful?</strong><div><button class="feedbackButton_UgQs"><span role="img" aria-label="like" class="anticon anticon-like"><svg viewBox="64 64 896 896" focusable="false" data-icon="like" width="1em" height="1em" fill="currentColor" aria-hidden="true"><path d="M885.9 533.7c16.8-22.2 26.1-49.4 26.1-77.7 0-4
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