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doc(ingestion): looker & lookml ingestion guide (datahub-project#8006)
Co-authored-by: MohdSiddiqueBagwan <[email protected]> Co-authored-by: Hyejin Yoon <[email protected]>
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| Original file line number | Diff line number | Diff line change |
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| --- | ||
| title: Configuration | ||
| --- | ||
| # Configuring Looker & LookML Connector | ||
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| Now that you have created a DataHub-specific API key with the relevant access in [the prior step](setup.md), it's time to set up a connection via the DataHub UI. | ||
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| ## Configure Secrets | ||
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| You must create two secrets to configure a connection with Looker or LookerML. | ||
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| * `LOOKER_CLIENT_ID` | ||
| * `LOOKER_CLIENT_SECRET` | ||
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| On your DataHub instance, navigate to the **Ingestion** tab in your screen's top right corner. | ||
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| <p align="center"> | ||
| <img width="75%" alt="Navigate to the "Ingestion Tab"" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/common/common_ingestion_ingestion_button.png"/> | ||
| </p> | ||
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| :::note | ||
| If you do not see the Ingestion tab, please get in touch with your DataHub admin to grant you the correct permissions. | ||
| ::: | ||
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| Navigate to the **Secrets** tab and click **Create new secret**. | ||
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| <p align="center"> | ||
| <img width="75%" alt="Secrets Tab" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/common/common_ingestion_secrets_tab.png"/> | ||
| </p> | ||
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| First, create a secret for the **Client Id**. The value should be the **Client Id** of the API key created in the [prior step](http://localhost:3000/docs/next/quick-ingestion-guides/looker/setup#create-an-api-key). | ||
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| <p align="center"> | ||
| <img width="70%" alt="API Key Client ID" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/looker-client-id-secret.png"/> | ||
| </p> | ||
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| Then, create a secret for the **Client Secret**. The value should be the **Client Secret** of the API key created in the [prior step](http://localhost:3000/docs/next/quick-ingestion-guides/looker/setup#create-an-api-key). | ||
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| <p align="center"> | ||
| <img width="70%" alt="API Key client secret" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/looker-client-secret.png"/> | ||
| </p> | ||
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| ## Configure Looker Ingestion | ||
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| ### Configure Recipe | ||
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| Navigate to the **Sources** tab and click **Create new source**. | ||
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| <p align="center"> | ||
| <img width="75%" alt="Click "Create new source"" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/common/common_ingestion_click_create_new_source_button.png"/> | ||
| </p> | ||
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| Choose `Looker`. | ||
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| <p align="center"> | ||
| <img width="70%" alt="Select Looker from the options" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/looker-choose-looker.png"/> | ||
| </p> | ||
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| Enter the details into the Looker Recipe. | ||
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| * **Base URL:** This is your looker instance URL. (i.e. `https://<your-looker-instance>.cloud.looker.com`) | ||
| * **Client ID:** Use the secret LOOKER_CLIENT_ID with the format `${LOOKER_CLIENT_ID}`. | ||
| * **Client Secret:** Use the secret LOOKER_CLIENT_SECRET with the format `${LOOKER_CLIENT_SECRET}`. | ||
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| Optionally, use the `dashboard_pattern` and `chart_pattern` fields to filter for specific dashboard and chart. | ||
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| config: | ||
| ... | ||
| dashboard_pattern: | ||
| allow: | ||
| - "2" | ||
| chart_pattern: | ||
| allow: | ||
| - "258829b1-82b1-4bdb-b9fb-6722c718bbd3" | ||
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| Your recipe should look something like this: | ||
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| <p align="center"> | ||
| <img width="70%" alt="Looker Recipe" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/looker-ingestion-source-recipe.png"/> | ||
| </p> | ||
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| After completing the recipe, click **Next**. | ||
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| ### Schedule Execution | ||
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| Now, it's time to schedule a recurring ingestion pipeline to extract metadata from your Looker instance regularly. | ||
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| Decide how regularly you want this ingestion to run-- day, month, year, hour, minute, etc. Select from the dropdown. | ||
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| <p align="center"> | ||
| <img width="75%" alt="schedule selector" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/common/common_ingestion_set_execution_schedule.png"/> | ||
| </p> | ||
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| Ensure you've configured your correct timezone. | ||
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| <p align="center"> | ||
| <img width="75%" alt="timezone_selector" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/common/common_ingestion_set_execution_timezone.png"/> | ||
| </p> | ||
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| Finally, click **Next** when you are done. | ||
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| ### Finish Up | ||
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| Name your ingestion source, then click **Save and Run**. | ||
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| <p align="center"> | ||
| <img width="75%" alt="Name your ingestion" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/looker-ingestion-source-window.png"/> | ||
| </p> | ||
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| You will now find your new ingestion source running. | ||
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| <p align="center"> | ||
| <img width="75%" alt="ingestion_running" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/looker-ingestion-running.png"/> | ||
| </p> | ||
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| ## Configure LookML Connector | ||
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| Now that you have created a DataHub-specific API key and Deploy Key with the relevant access in [the prior step](setup.md), it's time to set up a connection via the DataHub UI. | ||
|
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| ### Configure Recipe | ||
|
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| Navigate to the **Sources** tab and click **Create new source**. | ||
|
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| <p align="center"> | ||
| <img width="75%" alt="Click "Create new source"" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/common/common_ingestion_click_create_new_source_button.png"/> | ||
| </p> | ||
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| Choose `LooML`. | ||
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| <p align="center"> | ||
| <img width="70%" alt="Select Looker from the options" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/lookml-choose-lookml.png"/> | ||
| </p> | ||
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| Enter the details into the Looker Recipe. You need to set a minimum 5 fields in the recipe for this quick ingestion guide: | ||
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| * **GitHub Repository:** This is your GitHub repository where LookML models are stored. You can provide the full URL (example: https://gitlab.com/gitlab-org/gitlab) or organization/repo; in this case, the connector assume it is a GitHub repo | ||
| * **GitHub Deploy Key:** Copy the content of `looker_datahub_deploy_key` and paste into this filed. | ||
| * **Looker Base URL:** This is your looker instance URL. (i.e. https://abc.cloud.looker.com) | ||
| * **Looker Client ID:** Use the secret LOOKER_CLIENT_ID with the format `${LOOKER_CLIENT_ID}`. | ||
| * **Looker Client Secret:** Use the secret LOOKER_CLIENT_SECRET with the format `${LOOKER_CLIENT_SECRET}`. | ||
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| Your recipe should look something like this: | ||
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| <p align="center"> | ||
| <img width="70%" alt="LookML Recipe" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/lookml-ingestion-source-recipe.png"/> | ||
| </p> | ||
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| After completing the recipe, click **Next**. | ||
|
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| ### Schedule Execution | ||
|
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||
| Now, it's time to schedule a recurring ingestion pipeline to extract metadata from your Looker instance regularly. | ||
|
|
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| Decide how regularly you want this ingestion to run-- day, month, year, hour, minute, etc. Select from the dropdown. | ||
|
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||
| <p align="center"> | ||
| <img width="75%" alt="schedule selector" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/common/common_ingestion_set_execution_schedule.png"/> | ||
| </p> | ||
|
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| Ensure you've configured your correct timezone. | ||
| <p align="center"> | ||
| <img width="75%" alt="timezone_selector" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/common/common_ingestion_set_execution_timezone.png"/> | ||
| </p> | ||
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| Click **Next** when you are done. | ||
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| ### Finish Up | ||
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| Name your ingestion source, then click **Save and Run**. | ||
| <p align="center"> | ||
| <img width="75%" alt="Name your ingestion" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/lookml-ingestion-source-window.png"/> | ||
| </p> | ||
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| You will now find your new ingestion source running. | ||
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| <p align="center"> | ||
| <img width="75%" alt="ingestion_running" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/lookml-ingestion-running.png"/> | ||
| </p> | ||
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| ## Validate Ingestion Runs | ||
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| View the latest status of ingestion runs on the Ingestion page. | ||
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| <p align="center"> | ||
| <img width="75%" alt="ingestion succeeded" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/lookml-ingestion-succeeded.png"/> | ||
| </p> | ||
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| Click the `+` sign to expand the complete list of historical runs and outcomes; click **Details** to see the results of a specific run. | ||
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| <p align="center"> | ||
| <img width="75%" alt="ingestion_details" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/lookml-ingestion-history.png"/> | ||
| </p> | ||
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| From the Ingestion Run Details page, pick **View All** to see which entities were ingested. | ||
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| <p align="center"> | ||
| <img width="75%" alt="ingestion_details_view_all" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/lookml-ingestion-detail.png"/> | ||
| </p> | ||
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| Pick an entity from the list to manually validate if it contains the detail you expected. | ||
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| <p align="center"> | ||
| <img width="75%" alt="ingestion_details_view_all" src="https://raw.githubusercontent.com/datahub-project/static-assets/main/imgs/guides/looker/lookml-ingestion-assets.png"/> | ||
| </p> | ||
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| **Congratulations!** You've successfully set up Looker & LookML as an ingestion source for DataHub! | ||
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| *Need more help? Join the conversation in [Slack](http://slack.datahubproject.io)!* |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,52 @@ | ||
| --- | ||
| title: Overview | ||
| --- | ||
| # Looker & LookML Ingestion Guide: Overview | ||
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| ## What You Will Get Out of This Guide | ||
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| This guide will help you set up the Looker & LookML connectors to begin ingesting metadata into DataHub. | ||
| Upon completing this guide, you will have a recurring ingestion pipeline to extract metadata from Looker & LookML and load it into DataHub. | ||
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| ### Looker | ||
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| Looker connector will ingest Looker asset types: | ||
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| * [Dashboards](https://cloud.google.com/looker/docs/dashboards) | ||
| * [Charts](https://cloud.google.com/looker/docs/creating-visualizations) | ||
| * [Explores](https://cloud.google.com/looker/docs/reference/param-explore-explore) | ||
| * [Schemas](https://developers.looker.com/api/explorer/4.0/methods/Metadata/connection_schemas) | ||
| * [Owners of Dashboards](https://cloud.google.com/looker/docs/creating-user-defined-dashboards) | ||
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| :::note | ||
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| To get complete Looker metadata integration (including Looker views and lineage to the underlying warehouse tables), you must also use the [lookml](https://datahubproject.io/docs/generated/ingestion/sources/looker#module-lookml) connector. | ||
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| ::: | ||
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| ### LookML | ||
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| LookMl connector will include the following LookML asset types: | ||
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| * [LookML views from model files in a project](https://cloud.google.com/looker/docs/reference/param-view-view) | ||
| * [Metadata for dimensions](https://cloud.google.com/looker/docs/reference/param-field-dimension) | ||
| * [Metadata for measures](https://cloud.google.com/looker/docs/reference/param-measure-types) | ||
| * [Dimension Groups as tag](https://cloud.google.com/looker/docs/reference/param-field-dimension-group) | ||
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| :::note | ||
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| To get complete Looker metadata integration (including Looker views and lineage to the underlying warehouse tables), you must also use the [looker](https://datahubproject.io/docs/generated/ingestion/sources/looker#module-looker) connector. | ||
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| ::: | ||
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| ## Next Steps | ||
| Please continue to the [setup guide](setup.md), where we'll describe the prerequisites. | ||
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| ### Reference | ||
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| If you want to ingest metadata from Looker using the DataHub CLI, check out the following resources: | ||
| * Learn about CLI Ingestion in the [Introduction to Metadata Ingestion](../../../metadata-ingestion/README.md) | ||
| * [Looker Ingestion Source](https://datahubproject.io/docs/generated/ingestion/sources/Looker) | ||
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| *Need more help? Join the conversation in [Slack](http://slack.datahubproject.io)!* |
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