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You can use the SQL Gateway from the ODBC Driver for Paddle to query Paddle 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.
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.
Paddle uses API key authentication. To obtain an API key:
After obtaining your API key, set the following connection properties:
Profile=C:\profiles\Paddle.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your_api_key";
Once the authentication is configured, you can connect to Paddle and query data from any of the available tables such as Products, Customers, Subscriptions, and Transactions.
See the SQL Gateway Overview to set up connectivity to Paddle 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)
The following example shows how to define a connection and execute queries to Paddle with the mysql module. You will need the following information:
Connect to Paddle data and start executing queries with the code below:
var mysql = require('mysql');
var connection = mysql.createConnection({
host : 'localhost',
database : 'CData API Sys',
port : '3306',
user : 'mysql_user',
password : 'test'
});
connection.connect();
connection.query('SELECT * FROM Products', function(err, rows, fields) {
if (err) throw err;
console.log(rows);
});
connection.end();
Connect to live data from Paddle with the API Driver
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