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Use CData ODBC Driver and SQL Gateway to connect and query live SAS Data Sets data from HeidiSQL.
HeidiSQL is an open-source database administration tool that natively supports MariaDB, MySQL, SQL Server, and PostgreSQL. When paired with the CData ODBC Driver for SAS Data Sets and SQL Gateway, HediSQL's reach extends to include access to live SAS Data Sets data. This article demonstrates how to connect to on-premise SAS Data Sets and query SAS Data Sets data in HeidiSQL.
Connect to SAS Data Sets Data
If you have not already done so, provide values for the required connection properties in the data source name (DSN). You can use the built-in Microsoft ODBC Data Source Administrator to configure the DSN. This is also the last step of the driver installation. See the "Getting Started" chapter in the help documentation for a guide to using the Microsoft ODBC Data Source Administrator to create and configure a DSN.
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.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.
Configure the SQL Gateway
See the SQL Gateway Overview to set up connectivity to SAS Data Sets data as a virtual MySQL database. You will configure a MySQL remoting service that listens for MySQL requests from clients. The service can be configured in the SQL Gateway UI.

To connect to the SQL Gateway from HeidiSQL, you will need to run the SQL Gateway on a web-facing machine. After configuring the SQL Gateway, make note of the following information:
- The IP address or domain name of the machine hosting the SQL Gateway
- The data source name (likely CData SASDataSets Sys) of the MySQL service
- The port number of the MySQL service
- The credentials of a SQL Gateway user with access to the service
Configure Remote Access
If your ODBC Driver and the remoting service are installed on-premise (and not accessible from HeidiSQL), you can use the reverse SSH tunneling feature to enable remote access. For detailed instructions, read our Knowledge Base article: SQL Gateway SSH Tunneling Capabilities.
Connect to SAS Data Sets in HeidiSQL
Once you have a MySQL Service configured for the CData ODBC Driver for SAS Data Sets, you are ready to connect to the data in HeidiSQL. Start by creating a new connection Session in HeidiSQL, then choose the MySQL library type.
Configure the data set using the values for the MySQL service for SAS Data Sets you configured in SQL Gateway (be sure to use the DSN for the database name). Validate your connection and click Open.

Query SAS Data Sets from HeidiSQL
- In the database listing on the left, find your connection to SAS Data Sets configured earlier.
- In the database listing on the left, expand the appropriate connection and to view individual tables or data objects present within SAS Data Sets.
- Write custom SQL queries targeting these tables, treating the data source like any SQL Server database, or visually explore each tabular data set by selecting the relevant tables
With the CData ODBC Driver for SAS Data Sets and SQL Gateway, you are able to easily query data from SAS Data Sets data in HeidiSQL. If you have any questions, such as needing to access your on-premises data from HeidiSQL, let our Support Team know.