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Bridge LinkedIn Connectivity with Apache NiFi

Access and process LinkedIn data in Apache NiFi using the CData JDBC Driver.

Apache NiFi supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic. When paired with the CData JDBC Driver for LinkedIn, NiFi can work with live LinkedIn data. This article describes how to connect to and query LinkedIn data from an Apache NiFi Flow.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live LinkedIn data. When you issue complex SQL queries to LinkedIn, the driver pushes supported SQL operations, like filters and aggregations, directly to LinkedIn 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 LinkedIn data using native data types.

Connecting to LinkedIn Data in Apache NiFi

  1. Download the CData JDBC Driver for LinkedIn installer, unzip the package, and run the JAR file to install the driver.
  2. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.linkedin.jar (and cdata.jdbc.linkedin.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 JDBC Driver for LinkedIn.

  3. Start Apache NiFi. For example:

    cd C:\nifi-1.3.0-bin\nifi-1.3.0\bin
    run-nifi.bat
    
  4. Navigate to the Apache NiFi UI in your web browser: typically http://localhost:8080/nifi
  5. Click the (Configuration) button from the Operate sidebar.
  6. In the NiFi Flow Configuration page, navigate to the Controller Services tab.
  7. Click the button to create a new controller service.
  8. In the Add Controller Service page, select DBCPConnection Pool, and then click Add.
  9. Click the gear button to configure the new DBCPConnection Pool.
  10. In the Configure Controller Service page, navigate to the Properties tab. Fill in the properties:

    PropertyValue
    Database Connection URLjdbc:linkedin:OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:portNumber;CompanyId=XXXXXXXInitiateOAuth=GETANDREFRESH
    Database Driver Class Namecdata.jdbc.linkedin.LinkedInDriver

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the LinkedIn JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.linkedin.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    LinkedIn uses the OAuth 2 authentication standard. You will need to obtain the OAuthClientId and OAuthClientSecret by registering an app with LinkedIn. For more information refer to our authentication guide.
  11. Click the button to enable the new DBCPConnection Pool.

Your LinkedIn data is now available for use in Apache NiFi. For example, you can use the DBCPConnection Pool as the source for a QueryDatabaseTable processor.

Download a free, 30-day trial of the CData JDBC Driver for LinkedIn and start working with your live LinkedIn data in Apache NiFi. Reach out to our Support Team if you have any questions.