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Manage MongoDB Data in DBArtisan as a JDBC Source

Use wizards in DBArtisan to create a JDBC data source for MongoDB.

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

Integrate MongoDB Data into DBArtisan Projects

Follow the steps below to register MongoDB 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.
  5. In the Connection URL box, enter credentials and other required connection properties in the JDBC URL.

    Set the Server, Database, User, and Password connection properties to connect to MongoDB. To access MongoDB collections as tables you can use automatic schema discovery or write your own schema definitions. Schemas are defined in .rsd files, which have a simple format. You can also execute free-form queries that are not tied to the schema.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.mongodb.jar

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

    Below is a typical connection string:

    jdbc:mongodb:Server=MyServer;Port=27017;Database=test;User=test;Password=Password;
  6. Finish the wizard to connect to MongoDB data. MongoDB entities are displayed in the Datasource Explorer.

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