Ready to get started?

Learn more about the CData JDBC Driver for YouTube Analytics or download a free trial:

Download Now

Connect to YouTube Analytics Data in CloverETL

Transfer YouTube Analytics data using the visual workflow in the CloverETL data integration tool.

The CData JDBC Driver for YouTube Analytics enables you to use the data transformation components in CloverETL to execute create, read, update, and delete (CRUD) commands to YouTube Analytics data. In this article, you will use the JDBC Driver for YouTube Analytics to set up a simple transfer into a flat file.

Connect to YouTube Analytics as a JDBC Data Source

  1. Create the connection to YouTube Analytics data. In a new CloverETL graph, right-click the Connections node in the Outline pane and click Connections -> Create Connection. The Database Connection wizard is displayed.
  2. Click the plus icon to load a driver from a JAR. Browse to the lib subfolder of the installation directory and select the cdata.jdbc.youtubeanalytics.jar file.
  3. Enter the JDBC URL. A typical JDBC URL is below: jdbc:youtubeanalytics:ContentOwnerId=MyContentOwnerId;ChannelId=MyChannelId;

    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.

Query YouTube Analytics Data with the DBInputTable Component

  1. Drag a DBInputTable from the Readers selection of the Palette onto the job flow and double-click it to open the configuration editor.
  2. In the DB connection property, select the YouTube Analytics JDBC data source from the drop-down menu.
  3. Enter the SQL query. For example: SELECT * FROM Groups

Write the Output of the Query to a UniversalDataWriter

  1. Drag a UniversalDataWriter from the Writers selection onto the jobflow.
  2. Double-click the UniversalDataWriter to open the configuration editor and add a file URL.
  3. Right-click the DBInputTable and then click Extract Metadata.
  4. Connect the output port of the DBInputTable to the UniversalDataWriter.
  5. In the resulting Select Metadata menu for the UniversalDataWriter, choose the Groups table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
  6. Click Run to write to the file.
 
 
ダウンロード