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You can use the SQL Gateway to configure a TDS (SQL Server) remoting service and set up a linked server for YouTube Analytics data. After you have started the service, you can use the UI in SQL Server Management Studio or call stored procedures to create the linked server. You can then work with YouTube Analytics data just as you would a linked SQL Server instance.
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
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.
See the SQL Gateway Overview for a guide to configure a TDS remoting service in the SQL Gateway UI. The TDS remoting service is a daemon process that listens for TDS requests from clients.
After you have configured and started the daemon, create the linked server and connect. You can use the UI in SQL Server Management Studio or call stored procedures.
Follow the steps below to create a linked server from the Object Explorer.
Data Source: Enter the host and port the TDS remoting service is running on, separated by a comma.
Note that a value of "localhost" in this input refers to the machine where SQL Server is running so be careful when creating a linked server in Management Studio when not running on the same machine as SQL Server.
In addition to using the SQL Server Management Studio UI to create a linked server, you can use stored procedures. The following inputs are required:
datasrc: The host and port the service is running on, separated by a comma.
Note that a value of "localhost" in the datasrc input refers to the machine where SQL Server is running, so be careful when creating a linked server in Management Studio when not running on the same machine as SQL Server.
Call sp_addlinkedserver to create the linked server:
EXEC sp_addlinkedserver @server='YouTubeAnalytics', @provider='MSOLEDBSQL', @datasrc='< MachineIPAddress >,1434', @catalog='CData YouTubeAnalytics Sys', @srvproduct=''; GO
Call the sp_addlinkedsrvlogin stored procedure to allow SQL Server users to connect with the credentials of an authorized user of the service. Note that the credentials you use to connect to the service must specify a user you configured on the Users tab of the SQL Gateway.
EXEC sp_addlinkedsrvlogin @rmtsrvname='YouTubeAnalytics', @rmtuser='admin', @rmtpassword='test', @useself='FALSE', @locallogin=NULL; GO
SQL Server Management Studio uses the SQL Server Client OLE DB provider, which requires the ODBC driver to be used inprocess. You must enable the "Allow inprocess" option for the SQL Server Native Client Provider in Management Studio to query the linked server from SQL Server Management Studio. To do this, open the properties for the provider you are using under Server Objects -> Linked Servers -> Providers. Check the "Allow inprocess" option and save the changes.
You can now execute queries to the YouTube Analytics linked server from any tool that can connect to SQL Server. Set the table name accordingly:
SELECT * FROM [linked server name].[CData YouTubeAnalytics Sys].[YouTubeAnalytics].[Groups]👁 The result of a query in SQL Server Management Studio. (Salesforce is shown.)
Download a free trial of the YouTube Analytics ODBC Driver to get started:
Download NowLearn more:
👁 YouTube Analytics IconThe YouTube Analytics ODBC Driver is a powerful tool that allows you to connect with live data from YouTube Analytics, directly from any applications that support ODBC connectivity.
Access YouTube Analytics Traffic, Sources, Demographics, Subscribers, etc. through a standard ODBC Driver interface.