Access YouTube Analytics Data in Mule Applications Using the CData JDBC Driver

The CData JDBC Driver for YouTube Analytics connects YouTube Analytics data to Mule applications enabling read , write, update, and delete functionality with familiar SQL queries. The JDBC Driver allows users to easily create Mule applications to backup, transform, report, and analyze YouTube Analytics data.

This article demonstrates how to use the CData JDBC Driver for YouTube Analytics inside of a Mule project to create a Web interface for YouTube Analytics data. The application created allows you to request YouTube Analytics data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData JDBC Driver to create a Web interface for the 200+ available data sources.

1. Create a new Mule Project in Anypoint Studio.
2. Add an HTTP Connector to the Message Flow.
3. Configure the address for the HTTP Connector.
4. Add a Database Select Connector to the same flow, after the HTTP Connector.
5. Create a new Connection (or edit an existing one) and configure the properties.
   • Set Connection to "Generic Connection"
   • Select the CData JDBC Driver JAR file in the Required Libraries section (e.g. cdata.jdbc.youtubeanalytics.jar).
   • Set the URL to the connection string for YouTube Analytics

     YouTube Analytics uses the OAuth authentication standard. You can use the embedded CData OAuth credentials or you can register an application with Google to obtain your own.

     In addition to the OAuth values, to access YouTube Analytics data set ChannelId to the Id of a YouTube channel. You can obtain the channel Id in the advanced account settings for your channel. If not specified, the channel of the currently authenticated user will be used.

     If you want to generate content owner reports, specify the ContentOwnerId property. This is the Id of the copyright holder for content in YouTube's rights management system. The content owner is the person or organization that claims videos and sets their monetization policy.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.youtubeanalytics.jar

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

   • Set the Driver class name to cdata.jdbc.youtubeanalytics.YouTubeAnalyticsDriver.
   • Click Test Connection.
6. Set the SQL Query Text to a SQL query to request YouTube Analytics data. For example: SELECT Snippet_Title, ContentDetails_ItemCount FROM Groups
7. Add a Transform Message Component to the flow.
8. Set the Output script to the following to convert the payload to JSON:

   %dw 2.0
   output application/json
   ---
   payload
           

9. To view your YouTube Analytics data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default): http://localhost:8081. The YouTube Analytics data is available as JSON in your Web browser and any other tools capable of consuming JSON endpoints.

At this point, you have a simple Web interface for working with YouTube Analytics data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the JDBC Driver for YouTube Analytics and see the CData difference in your Mule Applications today.