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category 'Community'" type="button" class="clean-btn menu__caret"></button></div></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="menu__link menu__link--sublist menu__link--sublist-caret" aria-expanded="false" href="/docs/releases">Release History</a></div></li></ul></nav></div></div></aside><main class="docMainContainer_gTbr"><div class="container padding-top--md padding-bottom--lg"><div 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">Advanced Guides</span><meta itemprop="position" content="1"></li><li class="breadcrumbs__item"><span class="breadcrumbs__link">Scheduling Ingestion</span><meta itemprop="position" content="2"></li><li itemscope="" itemprop="itemListElement" itemtype="https://schema.org/ListItem" class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link" itemprop="name">Using Airflow</span><meta itemprop="position" content="3"></li></ul></nav><span class="theme-doc-version-badge badge badge--secondary">Version: Next</span><div class="theme-doc-markdown markdown"><h1>Using Airflow</h1><p>If you are using Apache Airflow for your scheduling then you might want to also use it for scheduling your ingestion recipes. For any Airflow specific questions you can go through <a href="https://airflow.apache.org/docs/apache-airflow/stable/" target="_blank" rel="noopener noreferrer">Airflow docs</a> for more details.</p><p>We've provided a few examples of how to configure your DAG:</p><ul><li><p><a href="https://github.com/datahub-project/datahub/blob/master/metadata-ingestion-modules/airflow-plugin/src/datahub_airflow_plugin/example_dags/mysql_sample_dag.py" target="_blank" rel="noopener noreferrer"><code>mysql_sample_dag</code></a> embeds the full MySQL ingestion configuration inside the DAG.</p></li><li><p><a href="https://github.com/datahub-project/datahub/blob/master/metadata-ingestion-modules/airflow-plugin/src/datahub_airflow_plugin/example_dags/snowflake_sample_dag.py" target="_blank" rel="noopener noreferrer"><code>snowflake_sample_dag</code></a> avoids embedding credentials inside the recipe, and instead fetches them from Airflow's <a href="https://airflow.apache.org/docs/apache-airflow/stable/howto/connection/index.html" target="_blank" rel="noopener noreferrer">Connections</a> feature. You must configure your connections in Airflow to use this approach.</p></li></ul><div class="theme-admonition theme-admonition-tip alert alert--success admonition_LlT9"><div class="admonitionHeading_tbUL"><span class="admonitionIcon_kALy"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_S0QG"><p>These example DAGs use the <code>PythonVirtualenvOperator</code> to run the ingestion. This is the recommended approach, since it guarantees that there will not be any conflicts between DataHub and the rest of your Airflow environment.</p><p>When configuring the task, it's important to specify the requirements with your source and set the <code>system_site_packages</code> option to false.</p><div class="language-py codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#bfc7d5;--prism-background-color:#292d3e"><div class="codeBlockContent_biex"><pre tabindex="0" class="prism-code language-py codeBlock_bY9V thin-scrollbar"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#bfc7d5"><span class="token plain">ingestion_task </span><span class="token operator" style="color:rgb(137, 221, 255)">=</span><span class="token plain"> PythonVirtualenvOperator</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"> task_id</span><span class="token operator" style="color:rgb(137, 221, 255)">=</span><span class="token string" style="color:rgb(195, 232, 141)">"ingestion_task"</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"> requirements</span><span class="token operator" style="color:rgb(137, 221, 255)">=</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 string" style="color:rgb(195, 232, 141)">"acryl-datahub[<your-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 punctuation" style="color:rgb(199, 146, 234)">]</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"> system_site_packages</span><span class="token operator" style="color:rgb(137, 221, 255)">=</span><span class="token boolean" style="color:rgb(255, 88, 116)">False</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"> python_callable</span><span class="token operator" style="color:rgb(137, 221, 255)">=</span><span class="token plain">your_callable</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><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></div><details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Advanced: loading a recipe file</summary><div><div class="collapsibleContent_i85q"><p>In more advanced cases, you might want to store your ingestion recipe in a file and load it from your task.</p><ul><li>Ensure the recipe file is in a folder accessible to your airflow workers. You can either specify absolute path on the machines where Airflow is installed or a path relative to <code>AIRFLOW_HOME</code>.</li><li>Ensure <a href="/docs/cli">DataHub CLI</a> is installed in your airflow environment.</li><li>Create a DAG task to read your DataHub ingestion recipe file and run it. See the example below for reference.</li><li>Deploy the DAG file into airflow for scheduling. Typically this involves checking in the DAG file into your dags folder which is accessible to your Airflow instance.</li></ul><p>Example: <a href="https://github.com/datahub-project/datahub/blob/master/metadata-ingestion-modules/airflow-plugin/src/datahub_airflow_plugin/example_dags/generic_recipe_sample_dag.py" target="_blank" rel="noopener noreferrer"><code>generic_recipe_sample_dag</code></a></p></div></div></details></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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