Manage HDFS Data in DBArtisan as a JDBC Source

Ready to get started?

Download a free trial of the HDFS Driver to get started:

 Download Now

Learn more:


Rapidly create and deploy powerful Java applications that integrate with HDFS.

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

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

Integrate HDFS Data into DBArtisan Projects

Follow the steps below to register HDFS 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.

    In order to authenticate, set the following connection properties:

    • Host: Set this value to the host of your HDFS installation.
    • Port: Set this value to the port of your HDFS installation. Default port: 50070

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.hdfs.jar

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

    Below is a typical connection string:;Port=50070;Path=/user/root;User=root;
  6. Finish the wizard to connect to HDFS data. HDFS entities are displayed in the Datasource Explorer.

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