Connect to LinkedIn Data in CloverDX (formerly CloverETL)

The CData JDBC Driver for LinkedIn enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with LinkedIn as sources and destinations. In this article, you will use the JDBC Driver for LinkedIn to set up a simple transfer into a flat file. The CData JDBC Driver for LinkedIn enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with LinkedIn as sources and destinations. In this article, you will use the JDBC Driver for LinkedIn to set up a simple transfer into a flat file.

Connect to LinkedIn as a JDBC Data Source

1. Create the connection to LinkedIn data. In a new CloverDX graph, right-click the Connections node in the Outline pane and click Connections -> Create Connection. The Database Connection wizard is displayed.
2. Click the plus icon to load a driver from a JAR. Browse to the lib subfolder of the installation directory and select the cdata.jdbc.linkedin.jar file.
3. Enter the JDBC URL. 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.

   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.

   A typical JDBC URL is below:

   jdbc:linkedin:OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:portNumber;CompanyId=XXXXXXXInitiateOAuth=GETANDREFRESH

Query LinkedIn Data with the DBInputTable Component

1. Drag a DBInputTable from the Readers selection of the Palette onto the job flow and double-click it to open the configuration editor.
2. In the DB connection property, select the LinkedIn JDBC data source from the drop-down menu.
3. Enter the SQL query. For example: SELECT VisibilityCode, Comment FROM CompanyStatusUpdates

Write the Output of the Query to a UniversalDataWriter

1. Drag a UniversalDataWriter from the Writers selection onto the jobflow.
2. Double-click the UniversalDataWriter to open the configuration editor and add a file URL.
3. Right-click the DBInputTable and then click Extract Metadata.
4. Connect the output port of the DBInputTable to the UniversalDataWriter.
5. In the resulting Select Metadata menu for the UniversalDataWriter, choose the CompanyStatusUpdates table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
6. Click Run to write to the file.