As you drag Available Columns to the Included Columns tab, the underlying SQL query is updated.In the Available Tables section, select a table and click Primary.In the next step, the Select Tables for Query dialog is displayed. On the Machine Data Source tab, select the DSN.The Select Database Connection dialog is displayed. In SAS JMP, click File -> Database -> Query Builder.Follow the steps below to execute some supported queries in the Query Builder: Import Oracle Data with the Query BuilderĪfter you have created the Oracle DSN, you can use SQL to invoke the capabilities of the Oracle API. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations. When you configure the DSN, you may also want to set the Max Rows connection property. Service Name: The service name of the Oracle database.Password: The password provided for authentication with the Oracle database.User: The user Id provided for authentication with the Oracle database.Port: The port used to connect to the server hosting the Oracle database.Once you've done this, set the following to connect: The native DLLs can be found in the lib folder inside the installation directory. To connect to Oracle, you'll first need to update your PATH variable and ensure it contains a folder location that includes the native DLLs. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs. This is the last step of the driver installation. If you have not already, first specify connection properties in an ODBC DSN (data source name). It also shows how to use SQL to query and manipulate Oracle data from the JMP Query Builder.Īccess Oracle Data as an ODBC Data Source This article shows how to access Oracle data into a report and create data visualization. The Oracle API supports bidirectional access. The CData ODBC Driver supports the standard SQL used by JMP in the background as you design reports. The driver proxies your queries directly to the Oracle API, ensuring that your analysis reflects any changes to the data. You can use the CData ODBC Driver for Oracle to integrate live data into your statistical analysis with SAS JMP.

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