Build a PostgreSQL Interface for Paddle Data using the CData JDBC Driver

There are a vast number of PostgreSQL clients available on the Internet. From standard Drivers to BI and Analytics tools, PostgreSQL is a popular interface for data access. Using our JDBC Drivers, you can now create PostgreSQL entry-points that you can connect to from any standard client.

To access Paddle data as a PostgreSQL database, use the CData JDBC Driver for Paddle and a JDBC foreign data wrapper (FDW). In this article, we compile the FDW, install it, and query Paddle data from PostgreSQL Server.

Connect to Paddle Data as a JDBC Data Source

To connect to Paddle as a JDBC data source, you will need the following:

• Driver JAR path: The JAR is located in the lib subfolder of the installation directory.

• Driver class:

  cdata.jdbc.api.APIDriver
  

• JDBC URL: The URL must start with "jdbc:api:" and can include any of the connection properties in name-value pairs separated with semicolons.

  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.

  👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
  

  A typical JDBC URL is below:

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

Build the JDBC Foreign Data Wrapper

The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. The jdbc2_fdw extension is used as an example (downloadable here).

1. Add a symlink from the shared object for your version of the JRE to /usr/lib/libjvm.so. For example:

   ln -s /usr/lib/jvm/java-6-openjdk/jre/lib/amd64/server/libjvm.so /usr/lib/libjvm.so
   

2. Start the build:

   make install USE_PGXS=1
   

Query Paddle Data as a PostgreSQL Database

After you have installed the extension, follow the steps below to start executing queries to Paddle data:

1. Log into your database.
2. Load the extension for the database:

   CREATE EXTENSION jdbc2_fdw;
   

3. Create a server object for Paddle:

   CREATE SERVER API 
   FOREIGN DATA WRAPPER jdbc2_fdw OPTIONS (
   drivername 'cdata.jdbc.api.APIDriver',
   url 'jdbc:api:Profile=C:\profiles\Paddle.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your_api_key";',
   querytimeout '15',
   jarfile '/home/MyUser/CData/CData\ JDBC\ Driver\ for\ Salesforce MyDriverEdition/lib/cdata.jdbc.api.jar'); 
   

4. Create a user mapping for the username and password of a user known to the MySQL daemon.

   CREATE USER MAPPING for postgres SERVER API OPTIONS (
   username 'admin', 
   password 'test');
   

5. Create a foreign table in your local database:

   postgres=# CREATE FOREIGN TABLE products (
   products_id text,
   products_ text,
   products_ numeric) 
   SERVER API OPTIONS (
   table_name 'products');
   

You can now execute SELECT commands to Paddle:

postgres=# SELECT * FROM products;