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The CSV enricher is used for enriching entities already ingested into DataHub.</p></div></div><p>This plugin is used to bulk upload metadata to Datahub.
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It will apply glossary terms, tags, description, owners and domain at the entity level. It can also be used to apply tags,
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glossary terms, and documentation at the column level. These values are read from a CSV file. You have the option to either overwrite
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or append existing values.</p><p>The format of the CSV is demonstrated below. The header is required and URNs should be surrounded by quotes when they contains commas (most URNs contains commas).</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">resource,subresource,glossary_terms,tags,owners,ownership_type,description,domain,ownership_type_urn</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">"urn:li:dataset:(urn:li:dataPlatform:snowflake,datahub.growth.users,PROD)",,[urn:li:glossaryTerm:Users],[urn:li:tag:HighQuality],[urn:li:corpuser:lfoe|urn:li:corpuser:jdoe],CUSTOM,"description for users table",urn:li:domain:Engineering,urn:li:ownershipType:a0e9176c-d8cf-4b11-963b-f7a1bc2333c9</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">"urn:li:dataset:(urn:li:dataPlatform:hive,datahub.growth.users,PROD)",first_name,[urn:li:glossaryTerm:FirstName],,,,"first_name description",</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain">"urn:li:dataset:(urn:li:dataPlatform:hive,datahub.growth.users,PROD)",last_name,[urn:li:glossaryTerm:LastName],,,,"last_name description",</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>Note that the first row does not have a subresource populated. That means any glossary terms, tags, and owners will
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be applied at the entity field. If a subresource is populated (as it is for the second and third rows), glossary
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terms and tags will be applied on the column. Every row MUST have a resource. Also note that owners can only
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be applied at the resource level.</p><p>If ownership_type_urn is set then ownership_type must be set to CUSTOM.</p><p>Note that you have the option in your recipe config to write as a PATCH or as an OVERRIDE. This choice will apply to
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all metadata for the entity, not just a single aspect. So OVERRIDE will override all metadata, including performing
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deletes if a metadata field is empty. The default is PATCH.</p><div class="theme-admonition theme-admonition-note alert alert--secondary admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M6.3 5.69a.942.942 0 0 1-.28-.7c0-.28.09-.52.28-.7.19-.18.42-.28.7-.28.28 0 .52.09.7.28.18.19.28.42.28.7 0 .28-.09.52-.28.7a1 1 0 0 1-.7.3c-.28 0-.52-.11-.7-.3zM8 7.99c-.02-.25-.11-.48-.31-.69-.2-.19-.42-.3-.69-.31H6c-.27.02-.48.13-.69.31-.2.2-.3.44-.31.69h1v3c.02.27.11.5.31.69.2.2.42.31.69.31h1c.27 0 .48-.11.69-.31.2-.19.3-.42.31-.69H8V7.98v.01zM7 2.3c-3.14 0-5.7 2.54-5.7 5.68 0 3.14 2.56 5.7 5.7 5.7s5.7-2.55 5.7-5.7c0-3.15-2.56-5.69-5.7-5.69v.01zM7 .98c3.86 0 7 3.14 7 7s-3.14 7-7 7-7-3.12-7-7 3.14-7 7-7z"></path></svg></span>note</div><div class="admonitionContent_S0QG"><p>This source will not work on very large csv files that do not fit in memory.</p></div></div><h3 class="anchor anchorWithStickyNavbar_LWe7" id="cli-based-ingestion">CLI based Ingestion<a href="#cli-based-ingestion" class="hash-link" aria-label="Direct link to CLI based Ingestion" title="Direct link to CLI based Ingestion"></a></h3><h3 class="anchor anchorWithStickyNavbar_LWe7" id="starter-recipe">Starter Recipe<a href="#starter-recipe" class="hash-link" aria-label="Direct link to Starter Recipe" title="Direct link to Starter Recipe"></a></h3><p>Check out the following recipe to get started with ingestion! See <a href="#config-details">below</a> for full configuration options.</p><p>For general pointers on writing and running a recipe, see our <a href="/docs/metadata-ingestion#recipes">main recipe guide</a>.</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"> csv</span><span class="token punctuation" style="color:rgb(199, 146, 234)">-</span><span class="token plain">enricher </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 comment" style="color:rgb(105, 112, 152);font-style:italic"># relative path to your csv file to ingest</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">filename</span><span class="token punctuation" style="color:rgb(199, 146, 234)">:</span><span class="token plain"> ./path/to/your/file.csv</span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain" style="display:inline-block"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></span><span class="token comment" style="color:rgb(105, 112, 152);font-style:italic"># Default sink is datahub-rest and doesn't need to be configured</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain"></span><span class="token comment" style="color:rgb(105, 112, 152);font-style:italic"># See https://docs.datahub.com/docs/metadata-ingestion/sink_docs/datahub for customization options</span><span class="token plain"></span><br></span><span class="token-line" style="color:#bfc7d5"><span class="token plain" style="di
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