Query Sage X3 Cloud Data as a MySQL Database in Node.js

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Execute MySQL queries against Sage X3 Cloud data from Node.js.

You can use the SQL Gateway from the ODBC Driver for Sage X3 Cloud to query Sage X3 Cloud data through a MySQL interface. Follow the procedure below to start the MySQL remoting service of the SQL Gateway and start querying using Node.js.

Connect to Sage X3 Cloud Data

If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.

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.

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to Sage X3 Cloud data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

Creating a MySQL Remoting Service in SQL Gateway (Salesforce is shown)

Query Sage X3 Cloud from Node.js

The following example shows how to define a connection and execute queries to Sage X3 Cloud with the mysql module. You will need the following information:

  • Host name or address, and port: The machine and port where the MySQL remoting service is listening for MySQL connections.
  • Username and password: The username and password of a user you authorized on the Users tab of the SQL Gateway.
  • Database name: The DSN you configured for the MySQL remoting service.

Connect to Sage X3 Cloud data and start executing queries with the code below:

var mysql      = require('mysql');
var connection = mysql.createConnection({
  host     : 'localhost',
  database : 'CData SageX3Cloud Sys',
  port	   : '3306',
  user     : 'mysql_user',
  password : 'test'
});
connection.connect();
connection.query('SELECT * FROM BPCUSTOMER', function(err, rows, fields) {
  if (err) throw err;
  console.log(rows);
});

connection.end();

Ready to get started?

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The Sage X3 Cloud ODBC Driver is a powerful tool that allows you to connect with live data from Sage X3 Cloud, directly from any applications that support ODBC connectivity.

Access Sage X3 Cloud data like you would a database - read, write, and update Sage X3 Cloud data through a standard ODBC Driver interface.