Query SQL Server Data as a MySQL Database in Node.js

You can use the SQL Gateway from the ODBC Driver for SQL Server to query SQL Server 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 SQL Server 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.

Connecting to Microsoft SQL Server

Connect to Microsoft SQL Server using the following properties:

• Server: The name of the server running SQL Server.
• User: The username provided for authentication with SQL Server.
• Password: The password associated with the authenticating user.
• Database: The name of the SQL Server database.

Connecting to Azure SQL Server and Azure Data Warehouse

You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

• Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
• User: The name of the user authenticating to Azure.
• Password: The password associated with the authenticating user.
• Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.

SSH Connectivity for SQL Server

You can use SSH (Secure Shell) to authenticate with SQL Server, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

SSH Connections to SQL Server in Password Auth Mode

To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

• User: SQL Server User name
• Password: SQL Server Password
• Database: SQL Server database name
• Server: SQL Server Server name
• Port: SQL Server port number like 3306
• UserSSH: "true"
• SSHAuthMode: "Password"
• SSHPort: SSH Port number
• SSHServer: SSH Server name
• SSHUser: SSH User name
• SSHPassword: SSH Password

SSH Connections to SQL Server in Public Key Auth Mode

To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

• User: SQL Server User name
• Password: SQL Server Password
• Database: SQL Server database name
• Server: SQL Server Server name
• Port: SQL Server port number like 3306
• UserSSH: "true"
• SSHAuthMode: "Public_Key"
• SSHPort: SSH Port number
• SSHServer: SSH Server name
• SSHUser: SSH User name
• SSHClientCret: the path for the public key certificate file

Configure the SQL Gateway

See the SQL Gateway Overview to set up connectivity to SQL Server 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 SQL Server from Node.js

The following example shows how to define a connection and execute queries to SQL Server 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 SQL Server data and start executing queries with the code below:

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

connection.end();