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Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for Recurly, you are gaining access to a driver based on industry-proven standards that integrates seamlessly with Informatica's powerful data transportation and manipulation features. This tutorial shows how to transfer and browse Recurly data in Informatica PowerCenter.
To deploy the driver to the Informatica PowerCenter server, copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, to the following folder: Informatica-installation-directory\services\shared\jars\thirdparty.
To work with Recurly data in the Developer tool, you will need to copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, into the following folders:
Follow the steps below to connect from Informatica Developer:
cdata.jdbc.api.APIDriver
Start by setting the Profile connection property to the location of the Recurly Profile on disk (e.g. C:\profiles\Recurly.apip). Next, set the ProfileSettings connection property to the connection string for Recurly (see below).
Navigate to Integrations > API Credentials in your Recurly account and click Add Private API Key.
For assistance in constructing the JDBC URL, use the connection string designer built into the Recurly 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.
๐ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)A typical connection string is below:
jdbc:api:Profile=C:\profiles\Recurly.apip;ProfileSettings='APIKey=your_api_key';
After you have added the driver JAR to the classpath and created a JDBC connection, you can now access Recurly entities in Informatica. Follow the steps below to connect to Recurly and browse Recurly tables:
You can now browse Recurly tables in the Data Viewer: Right-click the node for the table and then click Open. On the Data Viewer view, click Run.
๐ Table data and metadata in the Data Viewer. (Salesforce is shown.)Follow the steps below to add Recurly tables to your project:
Follow the steps below to add the Recurly source to a mapping:
Follow the steps below to map Recurly columns to a flat file:
To transfer Recurly data, right-click in the workspace and then click Run Mapping.
๐ The completed mapping. (Salesforce is shown.)Connect to live data from Recurly with the API Driver
Connect to Recurly