Create Lakebase-Connected Enterprise Applications in OutSystems

OutSystems is a low-code platform which provides the tools for companies to developer, deploy, and manage omnichannel enterprise applications. When paired with CData Connect AI, you get instant, cloud-to-cloud access to Lakebase data for business applications. This article shows how to create a virtual database for Lakebase in Connect AI and build a simple app from Lakebase data in OutSystems.

The CData Connect AI provides a pure cloud-to-cloud interface for Lakebase, allowing you to build reports from live Lakebase data in OutSystems — without replicating the data to a natively supported database. As you create applications to work with data, OutSystems generates SQL queries to gather data. Using optimized data processing out of the box, CData Connect AI pushes all supported SQL operations (filters, JOINs, etc.) directly to Lakebase, leveraging server-side processing to quickly return the requested Lakebase data.

Configure Lakebase Connectivity for OutSystems

Connectivity to Lakebase from OutSystems is made possible through CData Connect AI. To work with Lakebase data from OutSystems, we start by creating and configuring a Lakebase connection.

1. Log into Connect AI, click Sources, and then click Add Connection
👁 Adding a Connection

2. Select "Lakebase" from the Add Connection panel
👁 Selecting a data source

3. Enter the necessary authentication properties to connect to Lakebase. To connect to Databricks Lakebase, start by setting the following properties:
   • DatabricksInstance: The Databricks instance or server hostname, provided in the format instance-abcdef12-3456-7890-abcd-abcdef123456.database.cloud.databricks.com.
   • Server: The host name or IP address of the server hosting the Lakebase database.
   • Port (optional): The port of the server hosting the Lakebase database, set to 5432 by default.
   • Database (optional): The database to connect to after authenticating to the Lakebase Server, set to the authenticating user's default database by default.

   OAuth Client Authentication

   To authenicate using OAuth client credentials, you need to configure an OAuth client in your service principal. In short, you need to do the following:

   1. Create and configure a new service principal
   2. Assign permissions to the service principal
   3. Create an OAuth secret for the service principal

   For more information, refer to the Setting Up OAuthClient Authentication section in the Help documentation.

   OAuth PKCE Authentication

   To authenticate using the OAuth code type with PKCE (Proof Key for Code Exchange), set the following properties:

   • AuthScheme: OAuthPKCE.
   • User: The authenticating user's user ID.

   For more information, refer to the Help documentation.

   👁 Configuring a connection (Salesforce is shown)
   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Lakebase Connection page and update the User-based permissions. 👁 Updating permissions
   

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create. 👁 Creating a new PAT
   
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to Lakebase data from OutSystems.

Connect to Lakebase from OutSystems

The steps below outline connecting to CData Connect AI from OutSystems to create a new Lakebase database connection.

1. Open OutSystems Service Studio
2. Click the gear icon to open Environment Management in the Service Center 👁 Opening the Service Center
   
3. Click Administration and select "Database Connections"
4. Click "New Database Connection"
5. Configure the database connection:
   • Name: name the connection (e.g. CData Connect AI Lakebase)
   • DBMS: SQL Server / Azure SQL
   • Username: a Connect AI user (e.g. [email protected])
   • Password: the PAT for the Connect AI user
   • Server: tds.cdata.com,14333
   • Schema: the name of your Lakebase connection (e.g. Lakebase1)
   👁 Connecting to the Connect AI
   
6. Click "Test Connection"
7. Click "Create"

Map Lakebase Tables or Views to Entities in an Extension Module

Once you create the database connection for Lakebase, you can create an extension that maps the tables or views to OutSystems entities. If you have not already done so, create an Application in Service Studio.

1. Open the Service Studio and open the existing Application
2. Click "Add Module," set the "Module Name" (e.g. lakebase_db_extension), set "Module Type" to "Extension," and click "Create Module" 👁 Creating a new extension module
   
3. In Integration Studio, connect to your environment
4. Right-click "Entities" in the extension tree and select "Connect to External Table or View..." 👁 Connecting to external tables or views
   
5. Follow the steps in the wizard, selecting the tables and views you wish to work with
6. In the Integration Studio, click "1-Click Publish"
7. In the "1-Click Publish" wizard, click "Configure" when the process completes
   • In the Service Center, associate the logical database name of the extension to the database connection that the extension will use and click "Apply" 👁 Configuring the external extension
     
8. In your application, click "Manage Dependencies..."
9. Add a dependency to the Extension and select the Entities that you will use in your application 👁 Adding a dependency to the extension
   

At this point, you can access and work with Lakebase data just like you would with the standard OutSystems entities.

Get CData Connect AI

With Connect AI and OutSystems, you can easily build Lakebase-connected applications. Request a free trial of Connect AI and start working with Lakebase data in OutSystems today.