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DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData API Driver for JDBC, DataGrip can work with live Calendly data. This article shows how to establish a connection to Calendly data in DataGrip.
The steps below describe how to create a new Data Source in DataGrip for Calendly.
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.
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).
To authenticate to Calendly, 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.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
jdbc:api:Profile=C:\profiles\Calendly.apip;ProfileSettings='APIKey=your_api_token';
At this point, you will see the data source in the Data Explorer.
To browse through the Calendly 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 Uri, Name FROM OrganizationScheduledEvents WHERE EventType = 'Meeting'π Querying with SQL (Salesforce is shown.)
Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Calendly data in DataGrip. Reach out to our Support Team if you have any questions.
Connect to live data from Calendly with the API Driver
Connect to Calendly