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

Connect to WooCommerce Data as a JDBC Data Source

To connect to WooCommerce 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.woocommerce.WooCommerceDriver
  

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

  WooCommerce supports the following authentication methods: one-legged OAuth1.0 Authentication and standard OAuth2.0 Authentication.

  Connecting using one-legged OAuth 1.0 Authentication

  Specify the following properties (NOTE: the below credentials are generated from WooCommerce settings page and should not be confused with the credentials generated by using WordPress OAuth2.0 plugin):

  • ConsumerKey
  • ConsumerSecret

  Connecting using WordPress OAuth 2.0 Authentication

  After having configured the plugin, you may connect to WooCommerce by providing the following connection properties:

  • OAuthClientId
  • OAuthClientSecret
  • CallbackURL
  • InitiateOAuth - Set this to either GETANDREFRESH or REFRESH

  In either case, set the Url property to the URL of the WooCommerce instance.

  Built-in Connection String Designer

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

  java -jar cdata.jdbc.woocommerce.jar
  

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

  

  A typical JDBC URL is below:

  jdbc:woocommerce:Url=https://example.com/; ConsumerKey=ck_ec52c76185c088ecaa3145287c8acba55a6f59ad; ConsumerSecret=cs_9fde14bf57126156701a7563fc87575713c355e5; InitiateOAuth=GETANDREFRESH
  

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 WooCommerce Data as a PostgreSQL Database

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

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

   CREATE EXTENSION jdbc2_fdw;
   

3. Create a server object for WooCommerce:

   CREATE SERVER WooCommerce 
   FOREIGN DATA WRAPPER jdbc2_fdw OPTIONS (
   drivername 'cdata.jdbc.woocommerce.WooCommerceDriver',
   url 'jdbc:woocommerce:Url=https://example.com/; ConsumerKey=ck_ec52c76185c088ecaa3145287c8acba55a6f59ad; ConsumerSecret=cs_9fde14bf57126156701a7563fc87575713c355e5; InitiateOAuth=GETANDREFRESH',
   querytimeout '15',
   jarfile '/home/MyUser/CData/CData\ JDBC\ Driver\ for\ Salesforce MyDriverEdition/lib/cdata.jdbc.woocommerce.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 WooCommerce OPTIONS (
   username 'admin', 
   password 'test');
   

5. Create a foreign table in your local database:

   postgres=# CREATE FOREIGN TABLE orders (
   orders_id text,
   orders_ParentId text,
   orders_Total numeric) 
   SERVER WooCommerce OPTIONS (
   table_name 'orders');
   

postgres=# SELECT * FROM orders;