Connect to SAS Data Sets Data in CloverDX (formerly CloverETL)

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SAS Data Sets JDBC Driver

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



Transfer SAS Data Sets data using the visual workflow in the CloverDX data integration tool.

The CData JDBC Driver for SAS Data Sets enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with SAS Data Sets as sources and destinations. In this article, you will use the JDBC Driver for SAS Data Sets to set up a simple transfer into a flat file. The CData JDBC Driver for SAS Data Sets enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with SAS Data Sets as sources and destinations. In this article, you will use the JDBC Driver for SAS Data Sets to set up a simple transfer into a flat file.

Connect to SAS Data Sets as a JDBC Data Source

  1. Create the connection to SAS Data Sets data. In a new CloverDX graph, right-click the Connections node in the Outline pane and click Connections -> Create Connection. The Database Connection wizard is displayed.
  2. Click the plus icon to load a driver from a JAR. Browse to the lib subfolder of the installation directory and select the cdata.jdbc.sasdatasets.jar file.
  3. Enter the JDBC URL.

    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 JDBC URL is below:

    jdbc:sasdatasets:URI=C:/myfolder;

Query SAS Data Sets Data with the DBInputTable Component

  1. Drag a DBInputTable from the Readers selection of the Palette onto the job flow and double-click it to open the configuration editor.
  2. In the DB connection property, select the SAS Data Sets JDBC data source from the drop-down menu.
  3. Enter the SQL query. For example: SELECT name, borough FROM restaurants WHERE cuisine = 'American'

Write the Output of the Query to a UniversalDataWriter

  1. Drag a UniversalDataWriter from the Writers selection onto the jobflow.
  2. Double-click the UniversalDataWriter to open the configuration editor and add a file URL.
  3. Right-click the DBInputTable and then click Extract Metadata.
  4. Connect the output port of the DBInputTable to the UniversalDataWriter.
  5. In the resulting Select Metadata menu for the UniversalDataWriter, choose the restaurants table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
  6. Click Run to write to the file.