Validate Sage X3 Cloud Data with QuerySurge

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Access and validate Sage X3 Cloud data in QuerySurge using the CData JDBC Driver.

QuerySurge is a smart data testing solution that automates data validation and testing. When paired with the CData JDBC Driver for Sage X3 Cloud, QuerySurge can work with live Sage X3 Cloud data. This article explains how to connect to Sage X3 Cloud data from QuerySurge.

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.

Connecting to Sage X3 Cloud Data in QuerySurge

To connect to live Sage X3 Cloud data from QuerySurge, you need to deploy the JDBC Driver JAR file to your QuerySurge Agent(s) and add a new connection from the QuerySurge Admin view.

Deploy the JDBC Driver

  1. Download the CData JDBC Driver for Sage X3 Cloud installer, unzip the package, and run the JAR file to install the driver.
  2. Once the driver is installed, stop the Agent Service.
  3. 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 your Agent(s) (QuerySurge_install_dir\agent\jdbc).
  4. Restart the Agent Service.

For more information on deploying JDBC drivers for QuerySurge, refer to the QuerySurge Knowledge Base.

Configure a New Connection to Sage X3 Cloud

  1. Log into QuerySurge and navigate to the Admin view.
  2. Click Configuration -> Connections in the Administration Tree.
  3. Click Add to create a new connection.
  4. In the QuerySurge Connection Wizard, click Next. Creating a new connection
  5. Name the connection (e.g. CData JDBC Connection to Sage X3 Cloud).
  6. Set the Data Source to "All Other JDBC Connections (Connection Extensibility)" and click Next. Naming the connection and choosing a Data Source
  7. Set the Driver Class to cdata.jdbc.sagex3cloud.SageX3CloudDriver and click Next. Setting the Driver Class
  8. Set the Connection URL using the necessary connection properties to authenticate with Sage X3 Cloud. Your Connection URL will look something like the following:

    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;

    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.

    Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
  9. Set the Test Query to enable the Test Connection button for the Connection (e.g. SELECT * FROM BPCUSTOMER LIMIT 1) and click Next. Setting the Connection URL and Test Query (NetSuite is shown)
  10. Click Test Connection to ensure the connection is configured properly and click Save to add the connection.

Once the connection is added, you can write SQL queries against your Sage X3 Cloud data in QuerySurge.

Compare Sage X3 Cloud Data Queries with a QueryPair

With the connection configured, you can follow the steps below to compare querying Sage X3 Cloud data with a QueryPair.

  1. Select "Design Library" from the Design Menu
  2. Click QueryPairs under QuerySurge Design
  3. Click "Create New QueryPair"
  4. Name the QueryPair and click Save
  5. In either the Source or Target panes, select the connection created above (select the same connection to query Sage X3 Cloud twice or another connection to perform a comparison)
  6. Write queries in the Editor for each pane, e.g. SELECT * FROM BPCUSTOMER Setting the Connection URL and Test Query (NetSuite is shown)
  7. Click the "Design-Time Run" tab to execute the queries
  8. When the query execution is finished, click "View Query Results" to see the Sage X3 Cloud data returned by the query Setting the Connection URL and Test Query (NetSuite is shown)

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 QuerySurge. Reach out to our Support Team if you have any questions.

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