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Servoy is a rapid application development and deployment platform. When paired with the CData JDBC Driver for YouTube Analytics, users can build YouTube Analytics-connected apps that work with live YouTube Analytics data. This article describes how to connect to YouTube Analytics from Servoy and build a simple web app to display and search YouTube Analytics data.
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 lets you work with YouTube Analytics data using native data types.
To build YouTube Analytics-connected apps, you need to first create a data provider in Servoy Developer using the CData JDBC Driver for YouTube Analytics.
Set the URL, for example: jdbc:youtubeanalytics:ContentOwnerId=MyContentOwnerId;ChannelId=MyChannelId;InitiateOAuth=GETANDREFRESH;
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.
๐ Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Once you have configured the connection to YouTube Analytics in the Servoy Developer resources, you are ready to build apps with access to live YouTube Analytics data.
Right-click "Forms" and select "Create new form."
Drag a column component onto the Data Grid and set the "dataprovider" property for each column component to a column from the YouTube Analytics "table" (e.g., Snippet_Title from the Groups table).
Continue adding columns as desired.
Note that the "svySearch" extension is required to add search functionality (included by default when you create a new solution). If you did not add the extension when you created the solution or you are modifying an existing solution, you can add the search module by right-clicking Modules (in the solution) and selecting "Add Module." Select "svySearch" and click "OK."
var searchText = '';
var search = scopes.svySearch.createSimpleSearch(foundset).setSearchText(searchText); search.setSearchAllColumns(); search.loadRecords(foundset);
Save the form and JavaScript file, then click Run -> Launch NGClient to start the web app.
๐ A simple web app.Download a free, 30-day trial of the CData JDBC Driver for YouTube Analytics and start building YouTube Analytics-connected apps with Servoy. Reach out to our Support Team if you have any questions.
Download a free trial of the YouTube Analytics Driver to get started:
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๐ YouTube Analytics IconEasy-to-use YouTube Analytics client enables Java-based applications to easily consume YouTube Analytics Traffic, Sources, Demographics, Subscribers, etc.