Manage Google Calendar Data in DBArtisan as a JDBC Source

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Google Calendars JDBC Driver

An easy-to-use database-like interface for Java based applications and reporting tools access to live Google Calendars data (Calendars, Events, Attendees, and more).



Use wizards in DBArtisan to create a JDBC data source for Google Calendar.

The CData JDBC Driver for Google Calendar seamlessly integrates Google Calendar data into database management tools like DBArtisan by enabling you to access Google Calendar data as a database. This article shows how to create a JDBC source for Google Calendar in DBArtisan. You can then edit data visually and execute standard SQL.

Integrate Google Calendar Data into DBArtisan Projects

Follow the steps below to register Google Calendar data as a database instance in your project:

  1. In DBArtisan, click Data Source -> Register Datasource.
  2. Select Generic JDBC.
  3. Click Manage.
  4. In the resulting dialog, click New. Enter a name for the driver and click Add. In the resulting dialog, navigate to the driver JAR. The driver JAR is located in the lib subfolder of the installation directory.
  5. In the Connection URL box, enter credentials and other required connection properties in the JDBC URL.

    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.

    Built-in Connection String Designer

    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.

    Below is a typical connection string:

    jdbc:googlecalendar:InitiateOAuth=GETANDREFRESH
  6. Finish the wizard to connect to Google Calendar data. Google Calendar entities are displayed in the Datasource Explorer.

You can now work with Google Calendar data as you work with any other database. See the driver help documentation for more information on the queries supported by the Google Calendar API.