Access Live SQL Server Data in SAS JMP via ODBC

You can use the CData ODBC Driver for SQL Server to integrate live data into your statistical analysis with SAS JMP. The driver proxies your queries directly to the SQL Server API, ensuring that your analysis reflects any changes to the data. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports.

The SQL Server API supports bidirectional access. This article shows how to access SQL Server data into a report and create data visualization. It also shows how to use SQL to query and manipulate SQL Server data from the JMP Query Builder.

Access SQL Server Data as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

Connecting to Microsoft SQL Server

Connect to Microsoft SQL Server using the following properties:

• Server: The name of the server running SQL Server.
• User: The username provided for authentication with SQL Server.
• Password: The password associated with the authenticating user.
• Database: The name of the SQL Server database.

Connecting to Azure SQL Server and Azure Data Warehouse

You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

• Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
• User: The name of the user authenticating to Azure.
• Password: The password associated with the authenticating user.
• Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.

SSH Connectivity for SQL Server

You can use SSH (Secure Shell) to authenticate with SQL Server, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).

SSH Connections to SQL Server in Password Auth Mode

To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

• User: SQL Server User name
• Password: SQL Server Password
• Database: SQL Server database name
• Server: SQL Server Server name
• Port: SQL Server port number like 3306
• UserSSH: "true"
• SSHAuthMode: "Password"
• SSHPort: SSH Port number
• SSHServer: SSH Server name
• SSHUser: SSH User name
• SSHPassword: SSH Password

SSH Connections to SQL Server in Public Key Auth Mode

To connect to SQL Server via SSH in Password Auth mode, set the following connection properties:

• User: SQL Server User name
• Password: SQL Server Password
• Database: SQL Server database name
• Server: SQL Server Server name
• Port: SQL Server port number like 3306
• UserSSH: "true"
• SSHAuthMode: "Public_Key"
• SSHPort: SSH Port number
• SSHServer: SSH Server name
• SSHUser: SSH User name
• SSHClientCret: the path for the public key certificate file

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.

Import SQL Server Data with the Query Builder

After you have created the SQL Server DSN, you can use SQL to invoke the capabilities of the SQL Server API. Follow the steps below to execute some supported queries in the Query Builder:

1. In SAS JMP, click File -> Database -> Query Builder. The Select Database Connection dialog is displayed.
2. Click New Connection.
3. On the Machine Data Source tab, select the ODBC DSN you configured and then click Next. 👁 Select the ODBC DSN you configured. (Salesforce is shown.)
   
4. The Select Tables for Query dialog is displayed and in the Available Tables section, select a table and click Primary. After choosing the primary table, click Build Query to open the Query Builder. 👁 Select the Primary table for the Query. (Salesforce is shown.)
   
5. As you drag Available Columns to the Included Columns tab, the underlying SQL query is updated and you can view the generated SQL Query in the SQL tab. 👁 The generated query in the Query Builder. (Salesforce is shown.)
   
6. Click Run Query to display the data. 👁 The results of a query in the Query Builder. (Salesforce is shown.)
   
7. To refresh the results with the current data, right-click Update from Database and click Run Script.

Manipulate SQL Server Data

You can execute data manipulation queries from JSL scripts such as the one below. To execute a script, click New Script in the toolbar. To connect, specify the DSN. You can then use the standard SQL syntax:

Open Database( "DSN=CData SQL Source;",
"INSERT INTO Orders
(ShipCountry)
VALUES ('USA');");

Visualize SQL Server Data

After importing, you can use the Graph Builder to create graphs visually. To open the Graph Builder, click the Graph Builder button in the toolbar.

1. Drag a dimension column onto the x axis. For example, ShipName.
2. Drag a measure column onto the y axis. For example, Freight.
3. Select a chart type. For example, a bar chart. 👁 Configuration of a basic chart. (Salesforce is shown.)