Validate Paddle Data with QuerySurge

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

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Paddle data. When you issue complex SQL queries to Paddle, the driver pushes supported SQL operations, like filters and aggregations, directly to Paddle 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 Paddle data using native data types.

Connecting to Paddle Data in QuerySurge

To connect to live Paddle 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 API Driver for JDBC 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 API Driver for JDBC\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 Paddle

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 Paddle).
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.api.APIDriver and click Next. 👁 Setting the Driver Class
   

8. Set the Connection URL using the necessary connection properties to authenticate with Paddle. Your Connection URL will look something like the following:

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

   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.

   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.

   👁 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 Products 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 Paddle data in QuerySurge.

Compare Paddle Data Queries with a QueryPair

With the connection configured, you can follow the steps below to compare querying Paddle 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 Paddle twice or another connection to perform a comparison)
6. Write queries in the Editor for each pane, e.g. SELECT * FROM Products 👁 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 Paddle data returned by the query 👁 Setting the Connection URL and Test Query (NetSuite is shown)
   

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Paddle data in QuerySurge. Reach out to our Support Team if you have any questions.