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This article shows how to connect to YouTube Analytics from Jaspersoft Studio as a standard JDBC data source with the CData JDBC Driver for YouTube Analytics. You will use the standard Jaspersoft wizards to build SQL queries to YouTube Analytics. The queries are executed directly to the YouTube Analytics APIs, enabling real-time connectivity to YouTube Analytics data.
To create a JDBC data source in Jaspersoft Studio, create a data adapter:
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.
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.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Below is a typical JDBC URL for YouTube Analytics:
jdbc:youtubeanalytics:ContentOwnerId=MyContentOwnerId;ChannelId=MyChannelId;InitiateOAuth=GETANDREFRESH;π A data adapter configured to use the JDBC Driver. (Salesforce is shown.)
Follow the steps below to build an SQL query to YouTube Analytics, the basis of a simple report:
SELECT Snippet_Title, ContentDetails_ItemCount FROM Groupsπ The SQL query to be used to pull data into the report. (Salesforce is shown.)
In the Preview tab, you can see the report as it would look with the current YouTube Analytics data.
π A JasperReport template populated with live data. (Salesforce is shown.)The following sections show how to create a chart tied to its own SQL query. When retrieving the data from the remote data source, more restrictive queries, written for specific report objects, can result in faster performance.
Follow the steps below to create a new dataset to populate the chart:
SELECT Snippet_Title, ContentDetails_ItemCount FROM Groupsπ The SQL query to be used to fill the chart. (Salesforce is shown.)
After adding the dataset, follow the steps below to map column values to the chart axes in the chart wizard:
Specify the y-axis values: In the chart wizard, click the button next to the Value box. In the Expression Editor, double-click ContentDetails_ItemCount to set the expression to $F{ContentDetails_ItemCount}.
$F{Snippet_Title}.toString()
π Columns selected for the axes of the chart.You can now generate reports on YouTube Analytics data just as you would any other JDBC data source. Jaspersoft Studio periodically refreshes the data across report runs.
π The finished report's last page, displaying the chart. (Salesforce is shown.)Download a free trial of the YouTube Analytics Driver to get started:
Download NowLearn more:
π YouTube Analytics IconEasy-to-use YouTube Analytics client enables Java-based applications to easily consume YouTube Analytics Traffic, Sources, Demographics, Subscribers, etc.