Manage MarkLogic Data in DBArtisan as a JDBC Source

The CData JDBC Driver for MarkLogic seamlessly integrates MarkLogic data into database management tools like DBArtisan by enabling you to access MarkLogic data as a database. This article shows how to create a JDBC source for MarkLogic in DBArtisan. You can then edit data visually and execute standard SQL.

Integrate MarkLogic Data into DBArtisan Projects

Follow the steps below to register MarkLogic data as a database instance in your project:

1. In DBArtisan, click Data Source -> Register Datasource.
2. Select Generic JDBC.
3. Click Manage.
4. In the resulting dialog, click New. Enter a name for the driver and click Add. In the resulting dialog, navigate to the driver JAR. The driver JAR is located in the lib subfolder of the installation directory. 👁 The JDBC driver definition in the Register Datasource wizard. (Salesforce is shown.)
   
5. In the Connection URL box, enter credentials and other required connection properties in the JDBC URL.

   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.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.marklogic.jar
   

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

   👁 Required JDBC connection properties in the Register Datasource wizard. (Salesforce is shown.)
   

   Below is a typical connection string:

   jdbc:marklogic:User='myusername';Password='mypassword';Server='http://marklogic';

6. Finish the wizard to connect to MarkLogic data. MarkLogic entities are displayed in the Datasource Explorer.

You can now work with MarkLogic data as you work with any other database. See the driver help documentation for more information on the queries supported by the MarkLogic API.