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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 ODBC 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 the remoting features of 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 Remoting feature of the CData JDBC Driver for Amazon Marketplace and the MySQL foreign data wrapper (FDW) from EnterpriseDB. In this article, we install the FDW and query Amazon Marketplace data from PostgreSQL Server.

Configure the Connection to Amazon Marketplace

Follow the steps below to configure the driver's MySQL daemon to use the credentials and other connection properties needed to connect to Amazon Marketplace. The MySQL daemon exposes Amazon Marketplace data as a MySQL database named CDataAmazonMarketplace. Add connection properties to the databases section of the configuration file for the daemon. The configuration file for the daemon is located in the lib subfolder of the installation directory for the driver.

Below is a typical connection string:

[databases] amazon marketplace = "AWS Access Key Id=myAWSAccessKeyId;AWS Secret Key=myAWSSecretKey;MWS Auth Token=myMWSAuthToken;Seller Id=mySellerId;Marketplace=United States;"

Additionally, create a user in the users section.

You can find all of the configuration options for the MySQL daemon in the help documentation.

Start the Remoting Service

Follow the steps below to enable the MySQL Remoting feature of the CData JDBC Driver for Amazon Marketplace.

  1. The driver creates a default configuration suitable for testing: Simply start the service to connect to Amazon Marketplace data.

  2. Start the MySQL Remoting Service with the following command: java -jar cdata.jdbc.amazonmarketplace.jar -f cdata.jdbc.amazonmarketplace.remoting.ini

Build and Install the MySQL Foreign Data Wrapper

The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL.

If pgxn is available for your operating system, you can install with the following:

pgxn install mysql_fdw USE_PGXS=1

Otherwise, follow the steps below to build it yourself:

  1. Install the MySQL C client library and obtain the source for the EnterpriseDB FDW for MySQL; from GitHub, for example.
  2. Build the FDW. Add the pg_config and mysql_config executables to your PATH: env PATH=/usr/local/pgsql/bin:/usr/local/mysql/bin:$PATH make USE_PGXS=1
  3. Install the FDW: make USE_PGXS=1 install

To complete the installation, you will need to load the libmysqlclient library into the environment; for example by adding it to the path.

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: postgres=#CREATE EXTENSION mysql_fdw;
  3. Create a server object for Amazon Marketplace data: postgres=# CREATE SERVER AmazonMarketplace FOREIGN DATA WRAPPER mysql_fdw OPTIONS (host '127.0.0.1', port '3309');
  4. Create a user mapping for the username and password of a user known to the MySQL daemon. postgres=# CREATE USER MAPPING for postgres SERVER AmazonMarketplace OPTIONS (username 'admin', password 'test');
  5. Create the local schema: postgres=# CREATE SCHEMA AmazonMarketplace_db;
  6. Import all the tables in the Amazon Marketplace database you defined in the daemon configuration file: postgres=# IMPORT FOREIGN SCHEMA "AmazonMarketplace" FROM SERVER AmazonMarketplace INTO AmazonMarketplace_db;

You can now execute SELECT commands to Amazon Marketplace:

postgres=# SELECT * FROM AmazonMarketplace_db."orders";