Create Sage X3 Cloud-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 Sage X3 Cloud data for business applications. This article shows how to create a virtual database for Sage X3 Cloud in Connect AI and build a simple app from Sage X3 Cloud data in OutSystems.

The CData Connect AI provides a pure cloud-to-cloud interface for Sage X3 Cloud, allowing you to build reports from live Sage X3 Cloud 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 Sage X3 Cloud, leveraging server-side processing to quickly return the requested Sage X3 Cloud data.

Configure Sage X3 Cloud Connectivity for OutSystems

Connectivity to Sage X3 Cloud from OutSystems is made possible through CData Connect AI. To work with Sage X3 Cloud data from OutSystems, we start by creating and configuring a Sage X3 Cloud connection.

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

2. Select "Sage X3 Cloud" from the Add Connection panel

3. Enter the necessary authentication properties to connect to Sage X3 Cloud.

   Sage X3 Cloud uses the OAuth 2.0 Client Credentials flow, and an X-API-Key is also required for API access. Set AuthScheme to OAuth and specify the following connection properties:

   • URL: The base URL of your Sage X3 Cloud instance.
   • OAuthAccessTokenUrl: The OAuth token endpoint (e.g., https://your-auth-domain/oauth/token).
   • OAuthClientId: Your OAuth application client ID.
   • OAuthClientSecret: Your OAuth application client secret.
   • Audience: The API audience value for the token request.
   • XAPIKey: The X-API-Key provided by your Sage X3 Cloud administrator.
   • Folder: The Sage X3 folder name (e.g., SEED). This folder is used as the default schema.
   • Folders (optional): A comma-separated list of Sage X3 folders (e.g., SEED,PERF). Each folder is exposed as a separate schema, so you can query across folders with the Schema.Table syntax.

   The driver obtains an access token with the Client Credentials flow and sends it with the X-API-Key on every API request. With InitiateOAuth set to GETANDREFRESH (the default), the driver acquires and refreshes the token automatically.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add Sage X3 Cloud Connection page and update the User-based 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.
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 Sage X3 Cloud data from OutSystems.

Connect to Sage X3 Cloud from OutSystems

The steps below outline connecting to CData Connect AI from OutSystems to create a new Sage X3 Cloud database connection.

1. Open OutSystems Service Studio
2. Click the gear icon to open Environment Management in 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 Sage X3 Cloud)
   • 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 Sage X3 Cloud connection (e.g. SageX3Cloud1)
   
6. Click "Test Connection"
7. Click "Create"

Map Sage X3 Cloud Tables or Views to Entities in an Extension Module

Once you create the database connection for Sage X3 Cloud, 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. sagex3cloud_db_extension), set "Module Type" to "Extension," and click "Create 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..."
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"
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

At this point, you can access and work with Sage X3 Cloud data just like you would with the standard OutSystems entities.

Get CData Connect AI

With Connect AI and OutSystems, you can easily build Sage X3 Cloud-connected applications. Request a free trial of Connect AI and start working with Sage X3 Cloud data in OutSystems today.