Edit and Search External Databricks Objects in Salesforce Connect

CData Connect Cloud, enables you to access Databricks data from cloud-based applications like the Salesforce console and mobile applications like the Salesforce Mobile App. In this article, you will use CData Connect Cloud and Salesforce Connect to access external Databricks objects alongside standard Salesforce objects.

Getting Started

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Connect to Databricks from Salesforce

To work with live Databricks data in Salesforce Connect, we need to connect to Databricks from Connect Cloud, provide user access to the connection, and create OData endpoints for the Databricks data.

(Optional) Add a New Connect Cloud User

As needed, create Users to connect to Databricks through Connect Cloud.

1. Navigate to the Users page and click Invite Users
2. Enter the new user's email address and click Send to invite the user
3. You can review and edit users from the Users page

Add a Personal Access Token

If you are connecting from a service, application, platform, or framework that does not support OAuth authentication, you can create a Personal Access Token (PAT) to use for authentication. Best practices would dictate that you create a separate PAT for each service, to maintain granularity of access.

1. Click on your username at the top right of the Connect Cloud app and click User Profile.
2. On the User Profile page, scroll down to the Personal Access Tokens section and click Create PAT.
3. Give your PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

Connect to Databricks from Connect Cloud

CData Connect Cloud uses a straightforward, point-and-click interface to connect to data sources.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Databricks" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Databricks.

   To connect to a Databricks cluster, set the properties as described below.

   Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

   • Server: Set to the Server Hostname of your Databricks cluster.
   • HTTPPath: Set to the HTTP Path of your Databricks cluster.
   • Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).
4. Click Create & Test
5. Navigate to the Permissions tab in the Add Databricks Connection page and update the User-based permissions.

Configure Databricks Endpoints for Salesforce Connect

After connecting to Databricks, create a workspace and virtual dataset for your desired table(s).

1. Navigate to the Virtual Datasets page and click Add to create a new Workspace (or select an existing workspace).
2. Click Add to add new assets to the Workspace.
3. Select the Databricks connection (e.g. Databricks1) and click Next.
4. Select the table(s) you wish to work with and click Confirm.
5. Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}

With the connection and Workspace configured, you are ready to connect to Databricks data from Salesforce Connect.

Connect to Databricks Data as an External Data Sources

Follow the steps below to connect to the feed produced by Connect Cloud.

1. Log into Salesforce and click Setup -> Integrations -> External Data Sources.
2. Click Now External Data Sources.
3. Enter values for the following properties:
   • External Data Sources: Enter a label to be used in list views and reports.
   • Name: Enter a unique identifier.
   • Type: Select the option "Salesforce Connect: OData 4.0".
   • URL: Enter the URL to the OData endpoint of Connect Cloud: https://cloud.cdata.com/api/odata/{workspace_name}
4. Select the Writable External Objects option.
5. Select JSON in the Format menu.
6. In the Authentication section, set the following properties:
   • Identity Type: If all members of your organization will use the same credentials to access Connect Cloud, select "Named Principal". If the members of your organization will connect with their own credentials, select "Per User".
   • Authentication Protocol: Select Password Authentication to use basic authentication.
   • Certificate: Enter or browse to the certificate to be used to encrypt and authenticate communications from Salesforce to your server.
   • Username: Enter a CData Connect Cloud username (e.g. [email protected].
   • Password: Enter the user's PAT.

Synchronize Databricks Objects

After you have created the external data source, follow the steps below to create Databricks external objects that reflect any changes in the data source. You will synchronize the definitions for the Databricks external objects with the definitions for Databricks tables.

1. Click the link for the external data source you created.
2. Click Validate and Scan.
3. Select the Databricks tables you want to work with as external objects.

Access Databricks Data as Salesforce Objects

After adding Databricks data as an external data source and syncing Databricks tables as external objects, you can use the external Databricks objects just as you would standard Salesforce objects.

• Create a new tab with a filter list view:

• Create reports of external objects:

• Create, update, and delete Databricks objects from the Salesforce dashboard:

Simplified Access to Databricks Data from Cloud Applications

At this point, you have a direct, cloud-to-cloud connection to live Databricks data from Salesforce. For more information on gaining simplified access to data from more than 100 SaaS, Big Data, and NoSQL sources in cloud applications like Salesforce, refer to our Connect Cloud page.