Oracle9i Supplied PL/SQL Packages and Types Reference
Release 1 (9.0.1)

Part Number A89852-02
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DBMS_RLS , 13 of 13


REFRESH_GROUPED_POLICY Procedure

This procedure reparses the SQL statements associated with a refreshed policy.

Syntax

DBMS_RLS.REFRESH_GROUPED_POLICY (
   object_schema   VARCHAR2,
   object_name     VARCHAR2,
   group_name      VARCHAR2,
   policy_name     VARCHAR2 ); 

Parameters

Table 56-13 REFRESH_GROUPED_POLICY Procedure Parameters
Parameter  Description 

object_schema 

The schema containing the table or view. 

object_name 

The name of the table or view with which the policy is associated. 

group_name 

The name of the group of the policy. 

policy_name 

The name of the policy. 

Usage Notes

Example

This example illustrates the necessary steps to enforce a fine-grained access control policy.

In an Oracle HR application, PER_PEOPLE is a view for the PER_ALL_PEOPLE table, and both objects are under APPS schema.

CREATE TABLE per_all_people 
            (person_id NUMBER(15), 
             last_name VARCHAR2(30), 
             emp_no VARCHAR2(15), ...);
CREATE VIEW per_people AS 
       SELECT * FROM per_all_people;

There should be a security policy that limits access to the PER_PEOPLE view based on the user's role in the company. The predicates for the policy can be generated by the SECURE_PERSON function in the HR_SECURITY package. The package is under schema APPS and contains functions to support all security policies related to the HR application. Also, all the application contexts are under the APPS_SEC namespace.

CREATE PACKAGE BODY hr_security IS
  FUNCTION secure_person(obj_schema VARCHAR2, obj_name VARCHAR2)
                     RETURN VARCHAR2 IS
      d_predicate VARCHAR2(2000);
  BEGIN
      -- for users with HR_ROLE set to EMP, map logon user name
      -- to employee id. FND_USER table stores relationship
      -- among database users, application users, 
      -- and people held in the HR person table.
      IF SYS_CONTEXT('apps_sec', 'hr_role') = 'EMP' THEN
        d_predicate = 'person_id IN 
                     (SELECT employee_id FROM apps.fnd_user 
                      WHERE user_name = SYS_CONTEXT(''userenv'', ''session_
user''))';
      -- for users with HR_ROLE set to MGR (manager), map
      -- security profile id to a list of employee id that 
      -- the user can access
      ELSE IF SYS_CONTEXT('apps_sec', 'hr_role') = 'MGR' THEN
        d_predicate = 'person_id IN
                     (SELECT ppl.employee_id FROM per_person_list ppl WHERE
                      ppl.security_profile_id = SYS_CONTEXT(''apps_sec'', 
''security_profile_id''))
                      OR EXISTS (SELECT NULL FROM apps.per security_profiles psp 
WHERE
                      SYS_CONTEXT(''apps_sec'', ''security_profile_id'') =
                      psp.security_profile_id AND psp.view_all_flag = ''Y''))';
      ELSE 
           d_predicate = '1=2';  -- deny access to other users, may use 
something like 'keycol=null'
      END IF;
      RETURN d_predicate;
     END secure_person; 
    END hr_security; 

The next step is to associate a policy (here we call it PER_PEOPLE_SEC) for the PER_PEOPLE view to the HR_SECURITY.SECURE_PERSON function that generates the dynamic predicates:

DBMS_RLS.ADD_POLICY('apps', 'per_people', 'per_people_sec', 'apps'    
                    'hr_security.secure_person', 'select, update, delete');

Now, any SELECT, UPDATE, and DELETE statement with the PER_PEOPLE view involved will pick up one of the three predicates based on the value of the application context HR_ROLE.


Note:

The same security function that secured the PER_ALL_PEOPLE table can also be used to generate the dynamic predicates to secure the PER_ADDRESSES table, because they have the same policy to limit access to data. 



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