Access MarkLogic Data in Mule Applications Using the CData JDBC Driver

The CData JDBC Driver for MarkLogic connects MarkLogic data to Mule applications enabling read , write, update, and delete functionality with familiar SQL queries. The JDBC Driver allows users to easily create Mule applications to backup, transform, report, and analyze MarkLogic data.

This article demonstrates how to use the CData JDBC Driver for MarkLogic inside of a Mule project to create a Web interface for MarkLogic data. The application created allows you to request MarkLogic data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData JDBC Driver to create a Web interface for the hundreds of available data sources.

1. Create a new Mule Project in Anypoint Studio.
2. Add an HTTP Connector to the Message Flow.
3. Configure the address for the HTTP Connector. 👁 Add and Configure the HTTP Connector
   
4. Add a Database Select Connector to the same flow, after the HTTP Connector.
5. Create a new Connection (or edit an existing one) and configure the properties.
   • Set Connection to "Generic Connection"
   • Select the CData JDBC Driver JAR file in the Required Libraries section (e.g. cdata.jdbc.marklogic.jar). 👁 Adding the JAR file (Salesforce is shown).
     
   • Set the URL to the connection string for 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.

     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.

   • Set the Driver class name to cdata.jdbc.marklogic.MarkLogicDriver. 👁 A configured Database Connection (Salesforce is shown).
     
   • Click Test Connection.
6. Set the SQL Query Text to a SQL query to request MarkLogic data. For example:

   SELECT Name, TotalDue FROM Customer

   👁 Configure the Select object (Salesforce is Shown)
   
7. Add a Transform Message Component to the flow.
8. Set the Output script to the following to convert the payload to JSON:

   %dw 2.0
   output application/json
   ---
   payload
    

   👁 Add the Transform Message Component to the Flow
   
9. To view your MarkLogic data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default): http://localhost:8081. The MarkLogic data is available as JSON in your Web browser and any other tools capable of consuming JSON endpoints.

At this point, you have a simple Web interface for working with MarkLogic data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the JDBC Driver for MarkLogic and see the CData difference in your Mule Applications today.