Query YouTube Analytics Data in DataGrip

DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData JDBC Driver for YouTube Analytics, DataGrip can work with live YouTube Analytics data. This article shows how to establish a connection to YouTube Analytics data in DataGrip and use the table editor to load YouTube Analytics data.

Create a New Driver Definition for YouTube Analytics

The steps below describe how to create a new Data Source in DataGrip for YouTube Analytics.

1. In DataGrip, click File -> New > Project and name the project
2. In the Database Explorer, click the plus icon () and select Driver.
3. In the Driver tab:
   • Set Name to a user-friendly name (e.g. "CData YouTube Analytics Driver")
   • Set Driver Files to the appropriate JAR file. To add the file, click the plus (), select "Add Files," navigate to the "lib" folder in the driver's installation directory and select the JAR file (e.g. cdata.jdbc.youtubeanalytics.jar).
   • Set Class to cdata.jdbc.youtubeanalytics.YouTubeAnalytics.jar
   Additionally, in the advanced tab you can change driver properties and some other settings like VM Options, VM environment, VM home path, DBMS, etc
   • For most cases, change the DBMS type to "Unknown" in Expert options to avoid native SQL Server queries (Transact-SQL), which might result in an invalid function error
4. Click "Apply" then "OK" to save the Connection

Configure a Connection to YouTube Analytics

1. Once the connection is saved, click the plus (), then "Data Source" then "CData YouTube Analytics Driver" to create a new YouTube Analytics Data Source.
2. In the new window, configure the connection to YouTube Analytics with a JDBC URL.

   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.

3. Set URL to the connection string, e.g., jdbc:youtubeanalytics:ContentOwnerId=MyContentOwnerId;ChannelId=MyChannelId;InitiateOAuth=GETANDREFRESH
4. Click "Apply" and "OK" to save the connection string

At this point, you will see the data source in the Data Explorer.

Execute SQL Queries Against YouTube Analytics

To browse through the YouTube Analytics entities (available as tables) accessible through the JDBC Driver, expand the Data Source.

To execute queries, right click on any table and select "New" -> "Query Console."

In the Console, write the SQL query you wish to execute. For example: SELECT Snippet_Title, ContentDetails_ItemCount FROM Groups

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