Connect to MarkLogic Data in CloverETL

The CData JDBC Driver for MarkLogic enables you to use the data transformation components in CloverETL to execute create, read, update, and delete (CRUD) commands to MarkLogic data. In this article, you will use the JDBC Driver for MarkLogic to set up a simple transfer into a flat file.

Connect to MarkLogic as a JDBC Data Source

1. Create the connection to MarkLogic data. In a new CloverETL 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.marklogic.jar file.
3. Enter the JDBC URL. A typical JDBC URL is below: jdbc:marklogic:User='myusername';Password='mypassword';Server='http://marklogic';

   Set User, Password, and Server to the credentials for the MarkLogic account and the address of the server you want to connect to. You should also specify the REST API Port if you want to use a specific instance of a REST Server.

Query MarkLogic 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 MarkLogic JDBC data source from the drop-down menu.
3. Enter the SQL query. For example: SELECT * FROM Customer

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 Customer table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
6. Click Run to write to the file.