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Expression Filters
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An Expression Filter is a feature of the Oracle database that allows you to store rule expressions in a table so that you can compare those expressions against information stored in typical data table The intent is to compare the rule expressions to the data table so that application code can dynamically respond to matches on those rules without having to hard-code these rules in an application This might allow a corporation to compare incoming data on solicited customer
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proposals with rules stored for the sales managers who have the best expertise to respond to the proposal Expression Filters use an Oracle operator EVALUATE in a SQL WHERE clause and again rely on function-based indexes for performance Expression rules use a collection of distinct data attributes (called attribute sets) and Oracle object types The PL/SQL APIs for creating these attribute sets and mapping them to the tables where the rule expressions will be stored requires two steps: First you must disable the Oracle Data Dictionary realm, and then you must disable the application realm (Sample DBV Application):
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diego_dbvmgr@aos>-- disable the Data Dictionary realm diego_dbvmgr@aos>BEGIN dbms_macadmupdate_realm( realm_name => 'Oracle Data Dictionary' , description => 'Defines the realm for the Oracle Catalog' || ' schemas, SYS, SYSTEM, SYSMAN,MDSYS, etc' || ' Also controls the ability to grant system' || ' privileges and database administrator roles' , enabled => dbms_macutlg_no , audit_options => dbms_macutlg_realm_audit_fail ); END; / PL/SQL procedure successfully completed diego_dbvmgr@aos>-- disable the application realm diego_dbvmgr@aos>BEGIN dbms_macadmupdate_realm( realm_name => 'Sample DBV Application' , description => 'Sample to demonstrate feature integration with DBV' , enabled => dbms_macutlg_no , audit_options => dbms_macutlg_realm_audit_fail ); END; / PL/SQL procedure successfully completed
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Now we can create our Expression Filter objects for the solicited proposal example:
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app_object_owner@aos>-- create an Oracle object type of rule attributes app_object_owner@aos>CREATE OR REPLACE TYPE proposal_type AS OBJECT ( industry VARCHAR2(30) , service VARCHAR2(30) , price_limit NUMBER ); / Type created app_object_owner@aos>-- create the Expression Filter attribute set app_object_owner@aos>-- based on the object type app_object_owner@aos>BEGIN
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dbms_expfilcreate_attribute_set( attr_set => 'proposal_type' , from_type => 'YES'); END; / PL/SQL procedure successfully completed app_object_owner@aos>-- create a table of sales managers app_object_owner@aos>-- and the rules expression column for app_object_owner@aos>-- their proposal skills app_object_owner@aos>CREATE TABLE sales_managers ( id NUMBER NOT NULL PRIMARY KEY , name VARCHAR2(30) , proposal_skills VARCHAR2(4000) ); Table created app_object_owner@aos>-- map the attribute set to the table app_object_owner@aos>BEGIN dbms_expfilassign_attribute_set ( attr_set => 'proposal_type', expr_tab => 'sales_managers', expr_col => 'proposal_skills'); END; / PL/SQL procedure successfully completed
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Once the Expression Filter objects are in place, we can re-enable the Oracle Data Dictionary realm and then disable the application realm (Sample DBV Application):
diego_dbvmgr@aos>-- disable the Data Dictionary realm diego_dbvmgr@aos>BEGIN dbms_macadmupdate_realm( realm_name => 'Oracle Data Dictionary' , description => 'Defines the realm for the Oracle Catalog' || ' schemas, SYS, SYSTEM, SYSMAN,MDSYS, etc' || ' Also controls the ability to grant system' || ' privileges and database administrator roles' , enabled => dbms_macutlg_yes , audit_options => dbms_macutlg_realm_audit_fail ); END; / PL/SQL procedure successfully completed diego_dbvmgr@aos>-- disable the application realm diego_dbvmgr@aos>BEGIN dbms_macadmupdate_realm( realm_name => 'Sample DBV Application' , description => 'Sample to demonstrate feature integration with DBV' , enabled => dbms_macutlg_yes
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dbms_macutlg_realm_audit_fail
, audit_options => );
END; / PL/SQL procedure successfully completed
With the Expression Filters configured and our realm protections back in place, we can populate our rule expressions and use the filters in SQL statements with the EVALUATE operator:
app_object_owner@aos>-- create a few sales managers app_object_owner@aos>-- with their proposal skills rules app_object_owner@aos>INSERT INTO sales_managers VALUES (1, 'Mark', 'industry IN (''Oil'',''Mining'') AND price_limit >= 500000'); 1 row created app_object_owner@aos>INSERT INTO sales_managers VALUES (2, 'Sandy', 'industry IN (''Retail'',''Food'') AND price_limit >= 500000'); 1 row created app_object_owner@aos>INSERT INTO sales_managers VALUES (3, 'Roger', 'industry IN (''Retail'',''Food'') AND price_limit < 500000'); 1 row created COMMIT; Commit complete app_object_owner@aos>-- test the EVALUATE operator app_object_owner@aos>SELECT id, name FROM sales_managers WHERE EVALUATE ( sales_managersproposal_skills, AnyDataconvertObject( proposal_type('Retail','Marketing',100000) )) = 1; ID NAME ---------- -----------------------------3 Roger 1 row selected
You can also embed DBV factor functions within the PL/SQL functions you create as userdefined functions that are supported in the Expression Filters technology In the same way that the stored rule expressions for Expression Filters avoid the need to recode applications for new business rules, DBV factors embedded in the user-defined functions feature allow you to integrate security into Expression Filters logic without rewriting code
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