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Rapidly create and deploy powerful Java applications that integrate with Amazon Marketplace data including InventoryItems, Orders, Products, and more!

A PostgreSQL Interface for Amazon Marketplace Data



Use the Remoting features of the Amazon Marketplace JDBC Driver to create a PostgreSQL entry-point for data access.

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

Connect to Amazon Marketplace Data as a JDBC Data Source

To connect to Amazon Marketplace 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.amazonmarketplace.AmazonMarketplaceDriver

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

    To connect to the Amazon Marketplace Webservice (MWS), AWSAccessKeyId, MWSAuthToken, AWSSecretKey and SellerId are required. You can optionally set the Marketplace property. For more information on obtaining values for these properties, refer to the Help documentation.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.amazonmarketplace.jar

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

    A typical JDBC URL is below:

    jdbc:amazonmarketplace:AWS Access Key Id=myAWSAccessKeyId;AWS Secret Key=myAWSSecretKey;MWS Auth Token=myMWSAuthToken;Seller Id=mySellerId;Marketplace=United States;

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 Amazon Marketplace Data as a PostgreSQL Database

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

  1. Log into your database.
  2. Load the extension for the database: CREATE EXTENSION jdbc2_fdw;
  3. Create a server object for Amazon Marketplace: CREATE SERVER AmazonMarketplace FOREIGN DATA WRAPPER jdbc2_fdw OPTIONS ( drivername 'cdata.jdbc.amazonmarketplace.AmazonMarketplaceDriver', url 'jdbc:amazonmarketplace:AWS Access Key Id=myAWSAccessKeyId;AWS Secret Key=myAWSSecretKey;MWS Auth Token=myMWSAuthToken;Seller Id=mySellerId;Marketplace=United States;', querytimeout '15', jarfile '/home/MyUser/CData/CData\ JDBC\ Driver\ for\ Salesforce MyDriverEdition/lib/cdata.jdbc.amazonmarketplace.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 AmazonMarketplace OPTIONS ( username 'admin', password 'test');
  5. Create a foreign table in your local database: postgres=# CREATE FOREIGN TABLE orders ( orders_id text, orders_AmazonOrderId text, orders_OrderStatus numeric) SERVER AmazonMarketplace OPTIONS ( table_name 'orders');
You can now execute SELECT commands to Amazon Marketplace: postgres=# SELECT * FROM orders;