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The CData JDBC driver for Calendly is easy to integrate with Java Web applications. This article shows how to efficiently connect to Calendly data in Jetty by configuring the driver for connection pooling. You will configure a JNDI resource for Calendly in Jetty.
Follow the steps below to connect to Salesforce from Jetty.
Enable the JNDI module for your Jetty base. The following command enables JNDI from the command-line:
java -jar ../start.jar --add-to-startd=jndi
Declare the resource and its scope. Enter the required connection properties in the resource declaration. This example declares the Calendly data source at the level of the Web app, in WEB-INF\jetty-env.xml.
<Configure id='calendlydemo' class="org.eclipse.jetty.webapp.WebAppContext"> <New id="calendlydemo" class="org.eclipse.jetty.plus.jndi.Resource"> <Arg><Ref refid="calendlydemo"/></Arg> <Arg>jdbc/calendlydb</Arg> <Arg> <New class="cdata.jdbc.api.APIDriver"> <Set name="url">jdbc:api:</Set> <Set name="Profile">C:\profiles\Calendly.apip</Set> <Set name="ProfileSettings">'APIKey</Set> </New> </Arg> </New> </Configure>
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.
Configure the resource in the Web.xml:
jdbc/calendlydb javax.sql.DataSource Container
You can then access Calendly with a lookup to java:comp/env/jdbc/calendlydb:
InitialContext ctx = new InitialContext();
DataSource mycalendly = (DataSource)ctx.lookup("java:comp/env/jdbc/calendlydb");
The steps above show how to configure the driver in a simple connection pooling scenario. For more use cases and information, see the Working with Jetty JNDI chapter in the Jetty documentation.
Connect to live data from Calendly with the API Driver
Connect to Calendly