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Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. When paired with the CData API Driver for JDBC, NiFi can work with live Calendly data. This article describes how to connect to and query Calendly data from an Apache NiFi Flow.
With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live Calendly data. When you issue complex SQL queries to Calendly, the driver pushes supported SQL operations, like filters and aggregations, directly to Calendly and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Calendly data using native data types.
Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.api.jar (and cdata.jdbc.api.lic), to the Apache NiFi lib subfolder, for example, C:\nifi-1.3.0-bin\nifi-1.3.0\lib.
On Windows, the default location for the CData JDBC Driver is C:\Program Files\CData\CData API Driver for JDBC.
Start Apache NiFi by running the run-nifi.bat file in bin subfolder, for example, C:\nifi-1.3.0-bin\nifi-1.3.0\bin.
(OR)
Use the command prompt to navigate to the particular directory and run the run-nifi.bat file for example:
cd C:\nifi-1.3.0-bin\nifi-1.3.0\bin .\run-nifi.bat
Navigate to the Apache NiFi UI in your web browser: It should be https://localhost:8443/nifi.
Note: If users are utilizing an older version of Apache NiFi, they should access it via http://localhost:8080/nifi. In earlier versions, HTTP was the protocol employed. However, in the most recent version, HTTPS is the standard. By default, HTTP operates on port 8080, while HTTPS uses port 8443.
When accessing Apache NiFi via a URL, it prompts you to enter a username and password for login.
π Enter Username and Password for loginTo retrieve login credentials, users should consult the 'App.log' file located within the log directory of their NiFi installation. This file typically contains the necessary details for accessing the NiFi interface.
π Retrieve login credentials from App.log fileFill in the properties:
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.)
Your Calendly data is now available for use in Apache NiFi. For example, you can use the DBCPConnection Pool as the source for a QueryDatabaseTable processor (shown below).
π Configuring a QueryDatabaseTable processor to access Calendly data.Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Calendly data in Apache NiFi. Reach out to our Support Team if you have any questions.
Connect to live data from Calendly with the API Driver
Connect to Calendly