How to connect to Calendly Data from IntelliJ

The CData JDBC Driver for Calendly enables you to access Calendly as a JDBC data source, providing integration with rapid development tools in IDEs. This article shows how to use the data source configuration wizard to connect to Calendly data in IntelliJ.

Create a JBDC Data Source for Calendly

Follow the steps below to add the driver JAR and define connection properties required to connect to Calendly data.

1. In the Data Sources window, right-click and then click Add Data Source -> DB Data Source.

2. In the Data Source Properties dialog that appears, the following properties are required:

   • JDBC Driver Files: Click the button next to this menu to add the JDBC Driver file cdata.jdbc.api.jar, located in the installation directory.
   • JDBC Driver Class: In this menu, select cdata.jdbc.api.APIDriver from the list.

   • Database URL: Enter the connection URL in the JDBC URL property. The URL must start with jdbc:api: and includes connection properties separated with semicolons.

     Start by setting the Profile connection property to the location of the Calendly Profile on disk (e.g. C:\profiles\CalendlyProfile.apip). Next, set the ProfileSettings connection property to the connection string for Calendly (see below).

     Calendly API Profile Settings

     To authenticate to Calendly, you will need to provide an API Key. The Calendly API Key, can be found in your Calendly account, under 'Integrations' > 'API & Webhooks' > 'Generate New Token'. Set the APIKey in the ProfileSettings connection property.

     Built-in Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the Calendly JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

     java -jar cdata.jdbc.api.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     A typical JDBC URL is the following:

     jdbc:api:Profile=C:\profiles\Calendly.apip;ProfileSettings='APIKey=your_api_token';

Edit and Save Calendly Data

To discover schema information, right-click the data source you just created and click Refresh Tables. To query a table, right-click it and then click Open Tables Editor.