Access SAS Data Sets Data in Anypoint Using SQL

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SAS Data Sets MuleSoft Connector



Create a simple Mule Application that uses HTTP and SQL with the CData Mule Connector for SAS Data Sets to create a JSON endpoint for SAS Data Sets data.

The CData Mule Connector for SAS Data Sets connects SAS Data Sets data to Mule applications enabling read , write, update, and delete functionality with familiar SQL queries. The Connector allows users to easily create Mule Applications to backup, transform, report, and analyze SAS Data Sets data.

This article demonstrates how to use the CData Mule Connector for SAS Data Sets inside of a Mule project to create a Web interface for SAS Data Sets data. The application created allows you to request SAS Data Sets data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData Mule Connector to create a Web interface for the 200+ 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.
  4. Add a CData SAS Data Sets Connector to the same flow, after the HTTP Connector.
  5. Create a new Connection (or edit an existing one) and configure the properties to connect to SAS Data Sets (see below). Once the connection is configured, click Test Connection to ensure the connectivity to SAS Data Sets.

    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.
  6. Configure the CData SAS Data Sets Connector.
    1. Set the Operation to 'Select with Streaming'.
    2. Set the Query type to Dynamic.
    3. Set the SQL query to SELECT * FROM #[message.inboundProperties.'http.query.params'.get('table')] to parse the URL parameter table and use it as the target of the SELECT query. You can customize the query further by referencing other potential URL parameters.
  7. Add a Transform Message Component to the flow.
    1. Map the Payload from the input to the Map in the output.
    2. Set the Output script to the following to convert the payload to JSON:
      %dw 1.0
      %output application/json
      ---
      payload
              
  8. To view your SAS Data Sets data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default) and pass a table name as the table URL parameter: http://localhost:8081?table=restaurants
    The restaurants 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 SAS Data Sets 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 Mule Connector for SAS Data Sets and see the CData difference in your Mule Applications today.