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The CData JDBC Drivers support standard JDBC interfaces to integrate with Web applications running on the JVM. This article details how to connect to Calendly data from a connection pool in Tomcat.
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.
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.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)You can see the JDBC URL specified in the resource definition below.
<Resource name="jdbc/api" auth="Container" type="javax.sql.DataSource" driverClassName="cdata.jdbc.api.APIDriver" factory="org.apache.tomcat.jdbc.pool.DataSourceFactory" url="jdbc:api:Profile=C:\profiles\Calendly.apip;ProfileSettings='APIKey=your_api_token';" maxActive="20" maxIdle="10" maxWait="-1" />
To allow a single application to access Calendly data, add the code above to the context.xml in the application's META-INF directory.
For a shared resource configuration, add the code above to the context.xml located in $CATALINA_BASE/conf. A shared resource configuration provides connectivity to Calendly for all applications.
Calendly data JSP jdbc/API javax.sql.DataSource Container
Context initContext = new InitialContext();
Context envContext = (Context)initContext.lookup("java:/comp/env");
DataSource ds = (DataSource)envContext.lookup("jdbc/API");
Connection conn = ds.getConnection();
The steps above show how to connect to Calendly data in a simple connection pooling scenario. For more use cases and information, see the JNDI Datasource How-To in the Tomcat documentation.
Connect to live data from Calendly with the API Driver
Connect to Calendly