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Bridge YouTube Analytics Connectivity with Apache NiFi

Access and process YouTube Analytics data in Apache NiFi using the CData JDBC Driver.

Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. When paired with the CData JDBC Driver for YouTube Analytics, NiFi can work with live YouTube Analytics data. This article describes how to connect to and query YouTube Analytics data from an Apache NiFi Flow.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live YouTube Analytics data. When you issue complex SQL queries to YouTube Analytics, the driver pushes supported SQL operations, like filters and aggregations, directly to YouTube Analytics and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze YouTube Analytics data using native data types.

Connecting to YouTube Analytics Data in Apache NiFi

  1. Download the CData JDBC Driver for YouTube Analytics installer, unzip the package, and run the JAR file to install the driver.
  2. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.youtubeanalytics.jar (and cdata.jdbc.youtubeanalytics.lic), to the Apache NiFi lib subfolder, for example, C:\nifi-1.3.0-bin\nifi-1.3.0\lib.

    On Windows, the default location for the CData JDBC Driver is C:\Program Files\CData\CData JDBC Driver for YouTube Analytics.

  3. Start Apache NiFi. For example:

    cd C:\nifi-1.3.0-bin\nifi-1.3.0\bin
    run-nifi.bat
    
  4. Navigate to the Apache NiFi UI in your web browser: typically http://localhost:8080/nifi
  5. Click the (Configuration) button from the Operate sidebar.
  6. In the NiFi Flow Configuration page, navigate to the Controller Services tab.
  7. Click the button to create a new controller service.
  8. In the Add Controller Service page, select DBCPConnection Pool, and then click Add.
  9. Click the gear button to configure the new DBCPConnection Pool.
  10. In the Configure Controller Service page, navigate to the Properties tab. Fill in the properties:

    PropertyValue
    Database Connection URLjdbc:youtubeanalytics:ContentOwnerId=MyContentOwnerId;ChannelId=MyChannelId;InitiateOAuth=GETANDREFRESH
    Database Driver Class Namecdata.jdbc.youtubeanalytics.YouTubeAnalyticsDriver

    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.

    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.

  11. Click the button to enable the new DBCPConnection Pool.

Your YouTube Analytics data is now available for use in Apache NiFi. For example, you can use the DBCPConnection Pool as the source for a QueryDatabaseTable processor.

Download a free, 30-day trial of the CData JDBC Driver for YouTube Analytics and start working with your live YouTube Analytics data in Apache NiFi. Reach out to our Support Team if you have any questions.