Query Google Calendar Data in DataGrip



Create a Data Source for Google Calendar in DataGrip and use SQL to query live Google Calendar data.

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.

Create a New Driver Definition for Google Calendar

The steps below describe how to create a new Data Source in DataGrip for Google Calendar.

  1. In DataGrip, click File -> New > Project and name the project
  2. In the Database Explorer, click the plus icon () and select Driver.
  3. In the Driver tab:
    • Set Name to a user-friendly name (e.g. "CData Google Calendar Driver")
    • Set Driver Files to the appropriate JAR file. To add the file, click the plus (), select "Add Files," navigate to the "lib" folder in the driver's installation directory and select the JAR file (e.g. cdata.jdbc.googlecalendar.jar).
    • Set Class to cdata.jdbc.googlecalendar.GoogleCalendar.jar
    Additionally, in the advanced tab you can change driver properties and some other settings like VM Options, VM environment, VM home path, DBMS, etc
    • For most cases, change the DBMS type to "Unknown" in Expert options to avoid native SQL Server queries (Transact-SQL), which might result in an invalid function error
  4. Click "Apply" then "OK" to save the Connection

Configure a Connection to Google Calendar

  1. Once the connection is saved, click the plus (), then "Data Source" then "CData Google Calendar Driver" to create a new Google Calendar Data Source.
  2. In the new window, configure the connection to Google Calendar with a JDBC URL.

    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.

    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.

  3. Set URL to the connection string, e.g., jdbc:googlecalendar:InitiateOAuth=GETANDREFRESH
  4. Click "Apply" and "OK" to save the connection string

At this point, you will see the data source in the Data Explorer.

Execute SQL Queries Against Google Calendar

To browse through the Google Calendar entities (available as tables) accessible through the JDBC Driver, expand the Data Source.

To execute queries, right click on any table and select "New" -> "Query Console."

In the Console, write the SQL query you wish to execute. For example: SELECT Summary, StartDateTime FROM VacationCalendar

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.

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Google Calendars Icon 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).