Integrate SAS Data Sets with External Services using SnapLogic

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 Data Sets, in their SnapLogic workflows.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live SAS Data Sets data. When platforms issue complex SQL queries to SAS Data Sets, the driver pushes supported SQL operations, like filters and aggregations, directly to SAS Data Sets 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 Data Sets data using native data types.

Connect to SAS Data Sets in SnapLogic

To connect to SAS Data Sets data in SnapLogic, download and install the CData SAS Data Sets 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 Data Sets/lib by default).

Upload the SAS Data Sets 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 Data Sets.

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.sasdatasets.SASDataSetsDriver

   • Set JDBC URL to a JDBC connection string for the SAS Data Sets JDBC Driver, for example:

     jdbc:sasdatasets:URI=C:/myfolder;RTK=XXXXXX;

     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 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.

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

     Connecting to Local Files

     • Set the Connection Type to "Local." Local files support SELECT, INSERT, and DELETE commands.
     • Set the URI to a folder containing SAS files, e.g. C:\PATH\TO\FOLDER\.

     Connecting to Cloud-Hosted SAS DataSet Files

     While the driver is capable of pulling data from SAS DataSet files hosted on a variety of cloud data stores, INSERT, UPDATE, and DELETE are not supported outside of local files in this driver.

     Set the Connection Type to the service hosting your SAS DataSet files. A unique prefix at the beginning of the URI connection property is used to identify the cloud data store and the remainder of the path is a relative path to the desired folder (one table per file) or single file (a single table). For more information, refer to the Getting Started section of the Help documentation.

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

Read SAS Data Sets Data

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

• Set Schema name to "SASDataSets"
• Set Table name to a table for SAS Data Sets using the schema name, for example: "SASDataSets"."restaurants" (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 Data Sets data to another endpoint.

Piping SAS Data Sets 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 Data Sets data to a Google Spreadsheet

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

Piping External Data to SAS Data Sets

As mentioned above, you can also use the JDBC Driver for SAS Data Sets in SnapLogic to write data to SAS Data Sets. Start by adding a Generic JDBC - Insert or Generic JDBC - Update snap to the dashboard.

1. Select the existing "Account" (connection) or create a new one
2. Configure the query:
   • Set Schema name to "SASDataSets"
   • Set Table name to a table for SAS Data Sets using the schema name, for example: "SASDataSets"."restaurants" (use the drop-down to see the full list of available tables)
3. Save the Generic JDBC - Insert/Update snap

At this point, you have configured a snap to write data to SAS Data Sets, inserting new records or updating existing ones.

More Information & Free Trial

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