Connect to SAS Data Sets Data in RapidMiner

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SAS Data Sets JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with SAS Data Sets.



Integrate SAS Data Sets data with standard components and data source configuration wizards in RapidMiner Studio.

This article shows how you can easily integrate the CData JDBC driver for SAS Data Sets into your processes in RapidMiner. This article uses the CData JDBC Driver for SAS Data Sets to transfer SAS Data Sets data to a process in RapidMiner.

Connect to SAS Data Sets in RapidMiner as a JDBC Data Source

You can follow the procedure below to establish a JDBC connection to SAS Data Sets:

  1. Add a new database driver for SAS Data Sets: Click Connections -> Manage Database Drivers.
  2. In the resulting wizard, click the Add button and enter a name for the connection.
  3. Enter the prefix for the JDBC URL: jdbc:sasdatasets:
  4. Enter the path to the cdata.jdbc.sasdatasets.jar file, located in the lib subfolder of the installation directory.
  5. Enter the driver class: cdata.jdbc.sasdatasets.SASDataSetsDriver
  6. Create a new SAS Data Sets connection: Click Connections -> Manage Database Connections.
  7. Enter a name for your connection.
  8. For Database System, select the SAS Data Sets driver you configured previously.
  9. Enter your connection string in the Host box.

    Set the following connection properties to connect to your SAS DataSets files:

    • URI: Set this to the folder containing your .sas7bdat resources. Currently we only support local files.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.sasdatasets.jar

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

    A typical connection string is below:

    URI=C:/myfolder;
  10. Enter your username and password if necessary.

You can now use your SAS Data Sets connection with the various RapidMiner operators in your process. To retrieve SAS Data Sets data, drag the Retrieve operator from the Operators view. With the Retrieve operator selected, you can then define which table to retrieve in the Parameters view by clicking the folder icon next to the "repository entry." In the resulting Repository Browser, you can expand your connection node to select the desired example set.

Finally, wire the output to the Retrieve process to a result, and run the process to see the SAS Data Sets data.