Configuring Looker & LookML Connector

Now that you have created a DataHub-specific API key with the relevant access in the prior step, it's time to set up a connection via the DataHub UI.

Configure Secrets

You must create two secrets to configure a connection with Looker or LookerML.

• LOOKER_CLIENT_ID
• LOOKER_CLIENT_SECRET

On your DataHub instance, navigate to the Ingestion tab in your screen's top right corner.

:::note If you do not see the Ingestion tab, please get in touch with your DataHub admin to grant you the correct permissions. :::

Navigate to the Secrets tab and click Create new secret.

First, create a secret for the Client Id. The value should be the Client Id of the API key created in the prior step.

Then, create a secret for the Client Secret. The value should be the Client Secret of the API key created in the prior step.

Configure Looker Ingestion

Configure Recipe

Navigate to the Sources tab and click Create new source.

Choose Looker.

Enter the details into the Looker Recipe.

• 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}.

Optionally, use the dashboard_pattern and chart_pattern fields to filter for specific dashboard and chart.

config:
     ...
     dashboard_pattern:
        allow:
          - "2"
     chart_pattern:
        allow:
          - "258829b1-82b1-4bdb-b9fb-6722c718bbd3"

Your recipe should look something like this:

After completing the recipe, click Next.

Schedule Execution

Now, it's time to schedule a recurring ingestion pipeline to extract metadata from your Looker instance regularly.

Decide how regularly you want this ingestion to run-- day, month, year, hour, minute, etc. Select from the dropdown.

Ensure you've configured your correct timezone.

Finally, click Next when you are done.

Finish Up

Name your ingestion source, then click Save and Run.

You will now find your new ingestion source running.

Configure LookML Connector

Now that you have created a DataHub-specific API key and Deploy Key with the relevant access in the prior step, it's time to set up a connection via the DataHub UI.

Configure Recipe

Navigate to the Sources tab and click Create new source.

Choose LooML.

Enter the details into the Looker Recipe. You need to set a minimum 5 fields in the recipe for this quick ingestion guide:

• 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}.

Your recipe should look something like this:

After completing the recipe, click Next.

Schedule Execution

Now, it's time to schedule a recurring ingestion pipeline to extract metadata from your Looker instance regularly.

Decide how regularly you want this ingestion to run-- day, month, year, hour, minute, etc. Select from the dropdown.

Ensure you've configured your correct timezone.

Click Next when you are done.

Finish Up

Name your ingestion source, then click Save and Run.

You will now find your new ingestion source running.

Validate Ingestion Runs

View the latest status of ingestion runs on the Ingestion page.

Click the + sign to expand the complete list of historical runs and outcomes; click Details to see the results of a specific run.

From the Ingestion Run Details page, pick View All to see which entities were ingested.

Pick an entity from the list to manually validate if it contains the detail you expected.

Congratulations! You've successfully set up Looker & LookML as an ingestion source for DataHub!