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Use JayDeBeApi to access SAS Data Sets Data in Python


Use standard Python scripting and the development environment of your choice to access live SAS Data Sets data.

Access SAS Data Sets data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData JDBC Driver for SAS Data Sets and the JayDeBeApi module to work with remote SAS Data Sets data in Python. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular Python language. This article shows how to use the driver to execute SQL queries to SAS Data Sets and visualize SAS Data Sets data with standard Python.

Use the JayDeBeApi module

JayDeBeApi is a Python library that serves as a JDBC (Java Database Connectivity) bridge, allowing Python programs to interact with Java databases, including CData JDBC Drivers. Use the pip install command to install the module:

pip install JayDeBeApi

Create the JDBC URL

Once you have JayDeBeApi installed, you are ready to work with SAS Data Sets data in Python using SQL.

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.

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.

Below is a sample variable assignment, including a typical JDBC connection string:

jdbc_url = "jdbc:sasdatasets:URI=C:/myfolder;"

Access SAS Data Sets data in Python

With the JDBC URL configured, you only need the absolute path to the JDBC driver JAR file, which is in the "lib" folder in the installation directory ("C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.sasdatasets.jar" on Windows).

NOTE: If you haven't already, set the JAVA_HOME environment variable to the Java installation directory.

Use code similar to the follow to read and print data from SAS Data Sets:

import jaydebeapi #The JDBC connection string jdbc_url = "jdbc:sasdatasets:URI=C:/myfolder;" username = "****" password = "****" #The absolute Path to the JDBC driver JAR file, typically: jdbc_driver_jar = "C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.sasdatasets.jar" conn = jaydebeapi.connect( "cdata.jdbc.sasdatasets.jar", jdbc_url, [username, password], jdbc_driver_jar, ) cursor = conn.cursor() cursor.execute("SELECT * FROM restaurants;") results = cursor.fetchall() for row in results: print(row) cursor.close() conn.close()

Free trial & more information

Download a free, 30-day trial of the CData JDBC Driver for SAS Data Sets and start working with your live SAS Data Sets data in Python. Reach out to our Support Team if you have any questions.