Integrate SAS xpt with External Services using SnapLogic

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SASxpt JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with SAS xpt (XPORT) files data.

Use the CData JDBC Driver for SAS xpt in SnapLogic to integrate SAS xpt with External Services.

SnapLogic is an integration platform-as-a-service (iPaaS) that allows users to create data integration flows with no code. When paired with the CData JDBC Drivers, users get access to live data from more than 250+ SaaS, Big Data and NoSQL sources, including SAS xpt, in their SnapLogic workflows.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live SAS xpt data. When platforms issue complex SQL queries to SAS xpt, the driver pushes supported SQL operations, like filters and aggregations, directly to SAS xpt and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying lets you work with SAS xpt data using native data types.

Connect to SAS xpt in SnapLogic

To connect to SAS xpt data in SnapLogic, download and install the CData SAS xpt JDBC Driver. Follow the installation dialog. When the installation is complete, the JAR file can be found in the installation directory (C:/Program Files/CData/CData JDBC Driver for SAS xpt/lib by default).

Upload the SAS xpt JDBC Driver

After installation, upload the JDBC JAR file to a location in SnapLogic (for example, projects/Jerod Johnson) from the Manager tab.

Configure the Connection

Once the JDBC Driver is uploaded, we can create the connection to SAS xpt.

  1. Navigate to the Designer tab
  2. Expand "JDBC" from Snaps and drag a "Generic JDBC - Select" snap onto the designer
  3. Click Add Account (or select an existing one) and click "Continue"
  4. In the next form, configure the JDBC connection properties:
    • Under JDBC JARs, add the JAR file we previously uploaded
    • Set JDBC Driver Class to cdata.jdbc.sasxpt.SASXptDriver
    • Set JDBC URL to a JDBC connection string for the SAS xpt JDBC Driver, for example:


      NOTE: RTK is a trial or full key. Contact our Support team for more information.

      Built-In Connection String Designer

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

      java -jar cdata.jdbc.sasxpt.jar

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

      Connecting to Local SASXpt Files

      You can connect to local SASXpt file by setting the URI to a folder containing SASXpt files.

      Connecting to S3 data source

      You can connect to Amazon S3 source to read SASXpt files. Set the following properties to connect:

      • URI: Set this to the folder within your bucket that you would like to connect to.
      • AWSAccessKey: Set this to your AWS account access key.
      • AWSSecretKey: Set this to your AWS account secret key.
      • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

      Connecting to Azure Data Lake Storage Gen2

      You can connect to ADLS Gen2 to read SASXpt files. Set the following properties to connect:

      • URI: Set this to the name of the file system and the name of the folder which contacts your SASXpt files.
      • AzureAccount: Set this to the name of the Azure Data Lake storage account.
      • AzureAccessKey: Set this to our Azure DataLakeStore Gen 2 storage account access key.
      • TemporaryLocalFolder: Set this to the path, or URI, to the folder that is used to temporarily download SASXpt file(s).

  5. After entering the connection properties, click "Validate" and "Apply"

Read SAS xpt Data

In the form that opens after validating and applying the connection, configure your query.

  • Set Schema name to "SASXpt"
  • Set Table name to a table for SAS xpt using the schema name, for example: "SASXpt"."SampleTable_1" (use the drop-down to see the full list of available tables)
  • Add Output fields for each item you wish to work with from the table

Save the Generic JDBC - Select snap.

With connection and query configured, click the end of the snap to preview the data (highlighted below).

Once you confirm the results are what you expect, you can add additional snaps to funnel your SAS xpt data to another endpoint.

Piping SAS xpt Data to External Services

For this article, we will load data in a Google Spreadsheet. You can use any of the supported snaps, or even use a Generic JDBC snap with another CData JDBC Driver, to move data into an external service.

  1. Start by dropping a "Worksheet Writer" snap onto the end of the "Generic JDBC - Select" snap.
  2. Add an account to connect to Google Sheets
  3. Configure the Worksheet Writer snap to write your SAS xpt data to a Google Spreadsheet

You can now execute the fully configured pipeline to extract data from SAS xpt and push it into a Google Spreadsheet.

More Information & Free Trial

Using the CData JDBC Driver for SAS xpt you can create a pipeline in SnapLogic for integrating SAS xpt data with external services. For more information about connecting to SAS xpt, check at our SAS xpt connectivity page. Download a free, 30 day trial of the CData JDBC Driver for SAS xpt and get started today.