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DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData JDBC Driver for Google Calendars, DataGrip can work with live Google Calendar data. This article shows how to establish a connection to Google Calendar data in DataGrip and use the table editor to load Google Calendar data.
The steps below describe how to create a new Data Source in DataGrip for Google Calendar.
For assistance in constructing the JDBC URL, use the connection string designer built into the Google Calendar JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.googlecalendar.jar
Fill in the connection properties and copy the connection string to the clipboard.
You can connect to Google APIs on behalf of individual users or on behalf of a domain. Google uses the OAuth authentication standard. See the "Getting Started" section of the help documentation for a guide.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)jdbc:googlecalendar:
At this point, you will see the data source in the Data Explorer.
To browse through the Google Calendar entities (available as tables) accessible through the JDBC Driver, expand the Data Source.
π Exploring the data (Salesforce is shown.)To execute queries, right click on any table and select "New" -> "Query Console."
π Opening a new Query Console.In the Console, write the SQL query you wish to execute. For example:
SELECT Summary, StartDateTime FROM VacationCalendarπ Querying with SQL (Salesforce is shown.)
Download a free, 30-day trial of the CData JDBC Driver for Google Calendars and start working with your live Google Calendar data in DataGrip. Reach out to our Support Team if you have any questions.
Download a free trial of the Google Calendars Driver to get started:
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π Google Calendars IconAn easy-to-use database-like interface for Java based applications and reporting tools access to live Google Calendars data (Calendars, Events, Attendees, and more).