Connect to Sage X3 Cloud Data in the Denodo Platform

Denodo Platform is a data virtualization product providing a single point of contact for enterprise database data. When paired with the CData JDBC Driver for Sage X3 Cloud, Denodo users can work with live Sage X3 Cloud data alongside other enterprise data sources. This article explains how to create a virtual data source for Sage X3 Cloud in the Denodo Virtual DataPort Administrator.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Sage X3 Cloud data. When you issue complex SQL queries to Sage X3 Cloud, the driver pushes supported SQL operations, like filters and aggregations, directly to Sage X3 Cloud and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Sage X3 Cloud data using native data types.

Create the Sage X3 Cloud Virtual Port

To connect to live Sage X3 Cloud data from Denodo, you need to copy the JDBC Driver JAR file to the external library directory for Denodo and create a new JDBC Data Source from the Virtual DataPort Administrator tool.

1. Download the CData JDBC Driver for Sage X3 Cloud installer, unzip the package, and run the JAR file to install the driver.
2. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for Sage X3 Cloud\lib\) to the Denodo external library directory (C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-sagex3cloud-19).
3. Open the Denodo Virtual DataPort Administrator tool and navigate to the Server Explorer tab.
4. Right-click "admin" and select New -> Data source -> JDBC.
5. Configure the JDBC Connection:
   • Name: your choice, e.g.: sagex3cloud
   • Database adapter: Generic
   • Driver class path: C:\Denodo\Denodo Platform\lib-external\jdbc-drivers\cdata-sagex3cloud-19
   • Driver class: cdata.jdbc.sagex3cloud.SageX3CloudDriver

   • Database URI: Set this to a JDBC URL using the necessary connection properties. For example,

     jdbc:sagex3cloud:AuthScheme=OAuth;URL=https://x3server/;OAuthAccessTokenUrl=https://auth-domain/oauth/token;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;Audience=https://api-audience;XAPIKey=your_api_key;Folder=SEED;

     

     Information on creating the Database URI follows:

     Built-In Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the Sage X3 Cloud JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     
     	java -jar cdata.jdbc.sagex3cloud.jar
     	

     Fill in the connection properties and copy the connection string to the clipboard.

     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.

     
6. Click the "Test connection" button to confirm the configuration and click Save.

View Sage X3 Cloud Data in the VirtualPort Administrator Tool

After creating the data source, you can create a base view of Sage X3 Cloud data for use in the Denodo Platform.

1. Click the "Create base view" button in the newly created VirtualPort (admin.SageX3Cloud).
2. Expand the object tree and select the objects (tables) you wish to import.
3. Click the "Create selected" button to create views of the Sage X3 Cloud data.
   Optional: Click "Create associations from foreign keys" to define relationships between the objects.
4. With the view(s) created, navigate to a table (cdata_sagex3cloud_bpcustomer) in the Server Explorer and double-click the selected table.
5. In the new tab, click "Execution panel" to open a query panel.
6. Customize the query in the "Execute" tab or use the default:

   SELECT * FROM cdata_sagex3cloud_bpcustomer CONTEXT ('i18n'='us_est', 'cache_wait_for_load'='true')
   

   
7. Click Execute to view the data.

With the base view created, you can now work with live Sage X3 Cloud data like you would any other data source in Denodo Platform, for example, querying Sage X3 Cloud in the Denodo Data Catalog.

Download a free, 30-day trial of the CData JDBC Driver for Sage X3 Cloud and start working with your live Sage X3 Cloud data in Denodo Platform. Reach out to our Support Team if you have any questions.