Feed Calendly Data into FineReport

The CData JDBC Driver for Calendly fully implements the JDBC standard and can provide Calendly data connectivity to a wide variety of BI, reporting, and ETL tools and custom applications. In this article, we explain how to set Calendly data as JDBC data source in FineReport and view Calendly data as a table in the Report Designer.

Set Up a JDBC Data Source of Calendly Data

Follow the instruction below to set Calendly data as a FineReport database connection.

1. Copy the cdata.jdbc.api.jar file from the lib folder in the CData JDBC Driver for Calendly installation directory to the lib folder of the FineReport installation directory. You will need to copy the cdata.jdbc.api.lic file as well.
2. From the Server tab, select Define Data Connection, click to add a new connection, and click JDBC.

Next we will set up the data connection definition in the window.

1. Database: Others
2. JDBC Driver: cdata.jdbc.api.APIDriver
3. URL: A standard JDBC connection string using semicolon-separated connection properties.

   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.

   When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

   A typical JDBC URL is below:

   jdbc:api:Profile=C:\profiles\Calendly.apip;ProfileSettings='APIKey=your_api_token';
4. Click Connection pool attributes and set Test before getting connections to No.

Click Test connection to ensure you have configured the connection properly. With the connection to Calendly set up, you can use it as FineReport data source.

Select Calendly Data in the Report Designer.

1. Click to add a new template data set and select DB query to open the database query window.
2. Choose the JDBC connection that you created from the dropdown list.
3. The Calendly entities will appear as tables on the left pane.
4. Write a SELECT statement for the Calendly data tables and columns that you want to load.
5. Click preview and data is shown as table.

With these simple steps, Calendly can be used as a JDBC data source in FineReport.