![]() |
VOOZH | about |
The CData JDBC Driver for SAS Data Sets enables you to execute queries to SAS Data Sets data in tools like Squirrel SQL Client. In this article, you will create a JDBC data source for SAS Data Sets data and execute queries.
Follow the steps below to add the driver JAR.
Follow the steps below to save connection properties in the driver alias.
In the Add Alias wizard that opens, the following fields are required for the JDBC driver:
Set the following connection properties to connect to your 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.
Below is a typical connection string:
jdbc:sasdatasets:URI=C:/myfolder;π Connection properties automatically detected by Squirrel SQL. (Salesforce is shown.)
After the metadata has loaded, a new tab for the SAS Data Sets data source is displayed. On the Objects subtab, you can discover schema information, such as the available tables and views.
π Column metadata for a table. (Salesforce is shown.)
To view table data, select the table on the Objects tab. The table data is then loaded in a grid on the Content tab.
π Tables can be edited on the Content tab. (Salesforce is shown.)To execute an SQL query, enter the query on the SQL tab and then click Run SQL (the runner icon). For example:
SELECT name, borough FROM restaurants WHERE cuisine = 'American'π A query and the results. (Salesforce is shown.)
Download a free trial of the SAS Data Sets Driver to get started:
Download NowLearn more:
π SAS Data Sets IconRapidly create and deploy powerful Java applications that integrate with SAS Data Sets.