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SAS XPORT files Icon SASxpt ODBC Driver

The SASxpt ODBC Driver is a powerful tool that allows you to connect with live data from SAS xpt (XPORT) file data, directly from any applications that support ODBC connectivity.

Access SAS xpt (XPORT) files like you would a database - read, write, and update through a standard ODBC Driver interface.

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Using the CData ODBC Driver for SAS xpt in PyCharm


Connect to SAS xpt as an ODBC data source in PyCharm using the CData ODBC Driver for SAS xpt.

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for SAS xpt from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for SAS xpt as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

  1. Click File -> Settings to open the project settings window.
  2. Click Project Interpreter from the Project: YourProjectName menu.
  3. To add pyodbc, click the + button and enter pyodbc.
  4. Click Install Package to install pyodbc.

Connect to SAS xpt

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

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).

Below is the syntax for a DSN:

[CData SASXpt Source] Driver = CData ODBC Driver for SAS xpt Description = My Description URI = C:/folder

Execute SQL to SAS xpt

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for SASXpt};URI = C:/folder;') cursor = cnxn.cursor() cursor.execute("SELECT Id, Column1 FROM SampleTable_1 WHERE Column2 = '100'") rows = cursor.fetchall() for row in rows: print(row.Id, row.Column1)

After connecting to SAS xpt in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to SAS xpt data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at support@cdata.com.