Access Paddle Data in Mule Applications Using the CData JDBC Driver

The CData API Driver for JDBC connects Paddle data to Mule applications enabling read functionality with familiar SQL queries. The JDBC Driver allows users to easily create Mule applications to backup, transform, report, and analyze Paddle data.

This article demonstrates how to use the CData API Driver for JDBC inside of a Mule project to create a Web interface for Paddle data. The application created allows you to request Paddle data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData JDBC Driver to create a Web interface for the hundreds of available data sources.

1. Create a new Mule Project in Anypoint Studio.
2. Add an HTTP Connector to the Message Flow.
3. Configure the address for the HTTP Connector. 👁 Add and Configure the HTTP Connector
   
4. Add a Database Select Connector to the same flow, after the HTTP Connector.
5. Create a new Connection (or edit an existing one) and configure the properties.
   • Set Connection to "Generic Connection"
   • Select the CData JDBC Driver JAR file in the Required Libraries section (e.g. cdata.jdbc.api.jar). 👁 Adding the JAR file (Salesforce is shown).
     
   • Set the URL to the connection string for Paddle

     Using API Key Authentication

     Paddle uses API key authentication. To obtain an API key:

     1. Sign in to your Paddle account at https://vendors.paddle.com
     2. Navigate to Developer Tools > Authentication
     3. Click "Generate API Key"
     4. Assign the appropriate permissions for the data you wish to access
     5. Copy the generated key (sandbox keys begin with pdl_sdbx_apikey_; production keys begin with pdl_live_apikey_)

     After obtaining your API key, set the following connection properties:

     • AuthScheme: Set this to APIKey.
     Set the following in the ProfileSettings connection property:
     • APIKey: Set this to your Paddle API key.

     Example Connection String

     Profile=C:\profiles\Paddle.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your_api_key";
     

     Connecting to Paddle

     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.

     Built-in Connection String Designer

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

     		java -jar cdata.jdbc.api.jar
     		

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

   • Set the Driver class name to cdata.jdbc.api.APIDriver. 👁 A configured Database Connection (Salesforce is shown).
     
   • Click Test Connection.
6. Set the SQL Query Text to a SQL query to request Paddle data. For example:

   SELECT , FROM Products WHERE = ''

   👁 Configure the Select object (Salesforce is Shown)
   
7. Add a Transform Message Component to the flow.
8. Set the Output script to the following to convert the payload to JSON:

   %dw 2.0
   output application/json
   ---
   payload
    

   👁 Add the Transform Message Component to the Flow
   
9. To view your Paddle data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default): http://localhost:8081. The Paddle data is available as JSON in your Web browser and any other tools capable of consuming JSON endpoints.

At this point, you have a simple Web interface for working with Paddle data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the JDBC Driver for Paddle and see the CData difference in your Mule Applications today.