A.2 Install the OML4SQL Examples

Learn how to install OML4SQL examples.

The OML4SQL examples require:

• Oracle AI Database (on-premises, Oracle AI Database Cloud Service, or Oracle Autonomous AI Database)

• Oracle AI Database sample schemas

• A user account with the privileges described in Grant Privileges for Oracle Machine Learning for SQL.

• Running of dmshgrants.sql by a system administrator

• Running of dmsh.sql by the OML4SQL user

Follow these steps to install the OML4SQL examples:

1. Install or obtain access to an Oracle AI Database 26ai instance. To install the database, see the installation instructions for your platform at Oracle AI Database 26ai.

2. Ensure that the sample schemas are installed in the database. See Oracle Database Sample Schemas for details about the sample schemas.

3. Download the example code files from GitHub at https://github.com/oracle/oracle-db-examples/tree/master/machine-learning/sql. Select the Database edition. Place the files in a directory to which you have access on the Oracle AI Database server. For example, $ORACLE_HOME/demo/schema. $ORACLE_HOME is the home path where you have installed the database. Typically, /scratch/u01/app/oracle/product/23.0.0/dbhome_1.

4. Verify that your user account has the required privileges described in Grant Privileges for Oracle Machine Learning for SQL.

5. Ask your system administrator to run the dmshgrants.sql script, or run it yourself if you have administrative privileges. The script grants the privileges that are required for running the examples. These include SELECT access to tables in the SH schema as described in OML4SQL Sample Data and the system privileges.

   Connect as SYSDBA:

   CONNECT sys / as sysdba
   Enter password: sys_password
   Connected.
   

   Pass the name of the OML4SQL user to dmshgrants:

   @<location_of_examples>/dmshgrants oml_user

6. Connect to the database and run the dmsh.sql script. This script creates views of the sample data in the schema of the OML4SQL user.

   CONNECT oml_user
   Enter password: oml_user_password
   Connected.

   Issue the following to run the script:

   
   @<location_of_examples>/dmsh.sql