Security by DEPT tree (Navigation: Main Setup HRMS Security Core Row Level Security Security By Dept Tree) This page uses Department Tree to enforce the row level security in PeopleSoft. For this, the department tree has to be maintained properly i.e, it should be refreshed frequently so that it does reflect the actual department.

By default, when yougive PeopleSoft Query users access to a record definition, they canaccess all the rows of data in the table that were built using theassociated record definition. In some cases, though, you may wantto restrict users from seeing some of those data rows. For example,you may not want your human resources staff to access compensationdata for vice presidents or above. That is, you want to enforce the row-level security feature that is offered by many PeopleSoft applications.

Row-level security enablesusers to access a table without accessing all rows on that table.This type of security is typically applied to tables that hold sensitivedata. For example, you might want users to be able to review personaldata for employees in their own departments but not for employeesin other departments. To accomplish this, you would give everyoneaccess to the PERSONAL_DATA table, but would enforce row-level securityso that users could see only the rows where the DEPTID matches theirown.

Note: PeopleSoft Query row-levelsecurity is enforced only when you are using PeopleSoft Query or ScheduledQuery; it doesn't control runtime page access to table data.

PeopleSoft applicationsimplement row-level security by using a query security record (typicallya view) that is specified on the record definition that joins thedata table with an authorization table. When a user searches for datain the data table, the system performs a related record join betweenthe security record view and the base table (rather than searchingthe table directly). The view adds a security check to the search,based on the criteria that you have set up for row-level security.For example, to restrict users to seeing only data from their owndepartments, the view would select from the underlying table onlythose rows where the DEPTID matches the user’s DEPTID. You can specifythe query security record by selecting an appropriate view from the Query Security Record drop-down list on the Record Properties dialog box for any recorddefinition.

Note: Process and role queriesoverride the automatic row-level query security logic that is appliedto all other types of queries. For this reason, you should restrictaccess to creating these types of queries to administrative typesof roles and not include any sensitive data columns in the selectlist for these types of queries. You can restrict access to creatingand modifying these queries based on query profile settings that areassigned to a permission list. Note that Workflow queries also overridethe row-level security logic.

Securing Data Throughthe Search Record

To secure data throughthe query security record view, create a query security record thathas both of the following criteria:

• The same key field as thebase record that you are securing.

• One of the following threerow-level security fields as a key field and not as a list box item:

  • OPRID (User ID).

  • OPRCLASS (Primary PermissionList).

  • ROWSECCLASS (Row SecurityPermission List).

Note: These security criteriaare applied for all definitions, including multiple query securityrecord definitions and single query security record definitions.

When you add one ofthe preceding fields as a key field, PeopleTools automatically addsa WHERE clause when it does a SELECT through the record. This forcesthe value to be equal to the current user’s value.

See Using Query Access Group Trees, Using Query Profiles.

Implement row-levelsecurity by having PeopleSoft Query search for data using a query security record definition. The query security record definition adds a security check to thesearch.

Query security recorddefinitions serve the same purpose as search record definitions dofor pages. Just as a search record definition determines what datathe user can display in the page, the query security record definitiondetermines what data the user can display with PeopleSoft Query.

To get PeopleSoft Queryto retrieve data by joining a security record definition to the basetable, specify the appropriate query security record when you createthe base table’s record definition.

Note: The PeopleSoft row-levelsecurity views restrict users from seeing certain rows of data. Ifyou specify a query security record for a given base record definition,PeopleSoft Query adds a qualifier to the WHERE clause of each query,instructing the system to retrieve only rows in organizational entitiesto which you have been granted access. If you perform a historicalquery—for example, a query asking for the employees in your departmentas of last year—you may not get the results that you expect. Becausethe system is enforcing row-level security, PeopleSoft Query returnsonly those employees who were in the department last year and whoare currently in a department to which you have access.

Each PeopleSoft productline comes with a set of views for implementing its standard row-levelsecurity options.

You are able to addmultiple query security records for a record definition, including:

• Associating multiple querysecurity records with a single record.

• Specifying the fields (includingnon-key fields from the query security record) and the base recordthat will be used to secure the data.

Adding MultipleQuery Security Records for Record Definitions

Query Administratoruses the Advanced Query Security Record Mapping dialog box and theAdd Query Security Record dialog box in Application Designer to addmultiple query security records for a record definition. Note thateach base record can have one query security record defined in theRecord Property dialog box and as many as five additional query securityrecords defined in the Advanced Query Security Record Mapping dialogbox. When you add more than five query security records using theAdvanced Query Security Record Mapping dialog box, an error messageappears to alert you that the maximum limit has been reached.

Navigation

1. Open the Record Propertiesdialog box in Application Designer.

2. Click the Advanced Query Security button.

3. In the Advanced Query SecurityRecord Mapping dialog box, click the Add button.

To add multiple querysecurity records for record definitions:

1. In Application Designer,open the Record Properties dialog box.

2. Click the Advanced Query Security button.

   The AdvancedQuery Security Record Mapping dialog box appears with the list ofquery security records that are already set to the current record.

3. Click the Add buttonto access the Add Query Security Record dialog box.

4. Use the Add Query SecurityRecord dialog box to enter additional query security records and theircorresponding field mappings.

Removing Query SecurityRecords from Record Definitions

To remove query securityrecords from record definitions:

1. In Application Designer,open the Record Properties dialog box.

2. Click the Advanced Query Security button.

   In the search box type ' Turn Windows features On or Off'. Expand ' Microsoft.NET Framework 3.5.1' and place a check mark on 2 options listed. Click on 'Microsoft.NET Framework 3.5.1'. Restart the Computer.If issue still persist move to next method.Method 2DirectX is required by many games and multimedia apps in Windows. Dxcpl.exe windows 8.

   The AdvancedQuery Security Record Mapping dialog box appears with the list ofquery security records that are already set to the current record.

3. Select a row in the QuerySecurity Record section.

4. Click the Delete button.

   A warning message appears.

5. Click the Yes buttonto confirm the deletion.

Row-Level Security. 19 minutes to read.In this articleAPPLIES TO: SQL Server Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data WarehouseRow-Level Security enables you to use group membership or execution context to control access to rows in a database table.Row-Level Security (RLS) simplifies the design and coding of security in your application. RLS helps you implement restrictions on data row access. For example, you can ensure that workers access only those data rows that are pertinent to their department.

Another example is to restrict customers' data access to only the data relevant to their company.The access restriction logic is located in the database tier rather than away from the data in another application tier. The database system applies the access restrictions every time that data access is attempted from any tier. This makes your security system more reliable and robust by reducing the surface area of your security system.Implement RLS by using the Transact-SQL statement, and predicates created as.Applies to: SQL Server (SQL Server 2016 (13.x) through ), SQL Database , SQL Data Warehouse. NoteAzure SQL Data Warehouse supports filter predicates only. Block predicates aren't currently supported in Azure SQL Data Warehouse. DescriptionRLS supports two types of security predicates.Filter predicates silently filter the rows available to read operations (SELECT, UPDATE, and DELETE).Block predicates explicitly block write operations (AFTER INSERT, AFTER UPDATE, BEFORE UPDATE, BEFORE DELETE) that violate the predicate.Access to row-level data in a table is restricted by a security predicate defined as an inline table-valued function. The function is then invoked and enforced by a security policy.

For filter predicates, the application is unaware of rows that are filtered from the result set. If all rows are filtered, then a null set will be returned. For block predicates, any operations that violate the predicate will fail with an error.Filter predicates are applied while reading data from the base table. They affect all get operations: SELECT, DELETE and UPDATE.

The users can't select or delete rows that are filtered. The user can't update rows that are filtered. But, it's possible to update rows in such a way that they'll be filtered afterward. Block predicates affect all write operations.AFTER INSERT and AFTER UPDATE predicates can prevent users from updating rows to values that violate the predicate.BEFORE UPDATE predicates can prevent users from updating rows that currently violate the predicate.BEFORE DELETE predicates can block delete operations.Both filter and block predicates and security policies have the following behavior:.You may define a predicate function that joins with another table and/or invokes a function. If the security policy is created with SCHEMABINDING = ON (the default), then the join or function is accessible from the query and works as expected without any additional permission checks.

If the security policy is created with SCHEMABINDING = OFF, then users will need SELECT permissions on these additional tables and functions to query the target table. If the predicate function invokes a CLR scalar-valued function, the EXECUTE permission is needed in addition.You may issue a query against a table that has a security predicate defined but disabled. Any rows that are filtered or blocked aren't affected.If a dbo user, a member of the dbowner role, or the table owner queries a table that has a security policy defined and enabled, the rows are filtered or blocked as defined by the security policy.Attempts to alter the schema of a table bound by a schema bound security policy will result in an error. However, columns not referenced by the predicate can be altered.Attempts to add a predicate on a table that already has one defined for the specified operation results in an error.

This will happen whether the predicate is enabled or not.Attempts to modify a function, that is used as a predicate on a table within a schema bound security policy, will result in an error.Defining multiple active security policies that contain non-overlapping predicates, succeeds.Filter predicates have the following behavior:. Define a security policy that filters the rows of a table. The application is unaware of any rows that are filtered for SELECT, UPDATE, and DELETE operations.

Including situations where all the rows are filtered out. The application can INSERT rows, even if they will be filtered during any other operation.Block predicates have the following behavior:.Block predicates for UPDATE are split into separate operations for BEFORE and AFTER. Consequently, you can't, for example, block users from updating a row to have a value higher than the current one. If this kind of logic is required, you must use triggers with the intermediate tables to reference the old and new values together.The optimizer will not check an AFTER UPDATE block predicate if the columns used by the predicate function weren't changed. For example: Alice shouldn't be able to change a salary to be greater than 100,000. Alice can change the address of an employee whose salary is already greater than 100,000 as long as the columns referenced in the predicate weren't changed.No changes have been made to the bulk APIs, including BULK INSERT. This means that block predicates AFTER INSERT will apply to bulk insert operations just as they would regular insert operations.Use CasesHere are design examples of how RLS can be used:.A hospital can create a security policy that allows nurses to view data rows for their patients only.A bank can create a policy to restrict access to financial data rows based on an employee's business division or role in the company.A multi-tenant application can create a policy to enforce a logical separation of each tenant's data rows from every other tenant's rows.

Efficiencies are achieved by the storage of data for many tenants in a single table. Each tenant can see only its data rows.RLS filter predicates are functionally equivalent to appending a WHERE clause.

The predicate can be as sophisticated as business practices dictate, or the clause can be as simple as WHERE TenantId = 42.In more formal terms, RLS introduces predicate based access control. It features a flexible, centralized, predicate-based evaluation. The predicate can be based on metadata or any other criteria the administrator determines as appropriate. The predicate is used as a criterion to determine if the user has the appropriate access to the data based on user attributes. Label-based access control can be implemented by using predicate-based access control. PermissionsCreating, altering, or dropping security policies requires the ALTER ANY SECURITY POLICY permission. Creating or dropping a security policy requires ALTER permission on the schema.Additionally the following permissions are required for each predicate that is added:.SELECT and REFERENCES permissions on the function being used as a predicate.REFERENCES permission on the target table being bound to the policy.REFERENCES permission on every column from the target table used as arguments.Security policies apply to all users, including dbo users in the database.

Dbo users can alter or drop security policies however their changes to security policies can be audited. If high privileged users, such as sysadmin or dbowner, need to see all rows to troubleshoot or validate data, the security policy must be written to allow that.If a security policy is created with SCHEMABINDING = OFF, then to query the target table, users must have the SELECT or EXECUTE permission on the predicate function and any additional tables, views, or functions used within the predicate function. If a security policy is created with SCHEMABINDING = ON (the default), then these permission checks are bypassed when users query the target table.

Best Practices.It's highly recommended to create a separate schema for the RLS objects: predicate functions, and security policies. This helps to separate the permissions that are required on these special objects from the target tables.

Additional separation for different policies and predicate functions may be needed in multi-tenant-databases, but not as a standard for every case.The ALTER ANY SECURITY POLICY permission is intended for highly privileged users (such as a security policy manager). The security policy manager doesn't require SELECT permission on the tables they protect.Avoid type conversions in predicate functions to avoid potential runtime errors.Avoid recursion in predicate functions wherever possible to avoid performance degradation. The query optimizer will try to detect direct recursions, but isn't guaranteed to find indirect recursions. An indirect recursion is where a second function calls the predicate function.Avoid using excessive table joins in predicate functions to maximize performance.Avoid predicate logic that depends on session-specific: While unlikely to be used in practical applications, predicate functions whose logic depends on certain session-specific SET options can leak information if users are able to execute arbitrary queries.

For example, a predicate function that implicitly converts a string to datetime could filter different rows based on the SET DATEFORMAT option for the current session. In general, predicate functions should abide by the following rules:.Predicate functions should not implicitly convert character strings to date, smalldatetime, datetime, datetime2, or datetimeoffset, or vice versa, because these conversions are affected by the and options. NoteAzure SQL Data Warehouse doesn't support EXECUTE AS USER, so you must CREATE LOGIN for each user beforehand.

Later, you will log in as the appropriate user to test this behavior. CREATE USER Manager WITHOUT LOGIN;CREATE USER Sales1 WITHOUT LOGIN;CREATE USER Sales2 WITHOUT LOGIN;Create a table to hold data. CREATE TABLE Sales(OrderID int,SalesRep sysname,Product varchar(10),Qty int);Populate the table with six rows of data, showing three orders for each sales representative. INSERT INTO Sales VALUES (1, 'Sales1', 'Valve', 5);INSERT INTO Sales VALUES (2, 'Sales1', 'Wheel', 2);INSERT INTO Sales VALUES (3, 'Sales1', 'Valve', 4);INSERT INTO Sales VALUES (4, 'Sales2', 'Bracket', 2);INSERT INTO Sales VALUES (5, 'Sales2', 'Wheel', 5);INSERT INTO Sales VALUES (6, 'Sales2', 'Seat', 5);- View the 6 rows in the tableSELECT. FROM Sales;Grant read access on the table to each of the users. GRANT SELECT ON Sales TO Manager;GRANT SELECT ON Sales TO Sales1;GRANT SELECT ON Sales TO Sales2;Create a new schema, and an inline table-valued function. The function returns 1 when a row in the SalesRep column is the same as the user executing the query ( @SalesRep = USERNAME) or if the user executing the query is the Manager user ( USERNAME = 'Manager').

CREATE SCHEMA Security;GOCREATE FUNCTION Security.fnsecuritypredicate(@SalesRep AS sysname)RETURNS TABLEWITH SCHEMABINDINGASRETURN SELECT 1 AS fnsecuritypredicateresultWHERE @SalesRep = USERNAME OR USERNAME = 'Manager';Create a security policy adding the function as a filter predicate. The state must be set to ON to enable the policy. CREATE SECURITY POLICY SalesFilterADD FILTER PREDICATE Security.fnsecuritypredicate(SalesRep)ON dbo.SalesWITH (STATE = ON);Allow SELECT permissions to the fnsecuritypredicate function GRANT SELECT ON security.fnsecuritypredicate TO Manager;GRANT SELECT ON security.fnsecuritypredicate TO Sales1;GRANT SELECT ON security.fnsecuritypredicate TO Sales2;Now test the filtering predicate, by selected from the Sales table as each user. EXECUTE AS USER = 'Sales1';SELECT. FROM Sales;REVERT;EXECUTE AS USER = 'Sales2';SELECT.

FROM Sales;REVERT;EXECUTE AS USER = 'Manager';SELECT. FROM Sales;REVERT. NoteAzure SQL Data Warehouse doesn't support EXECUTE AS USER, so log in as the appropriate user to test the above behavior.The Manager should see all six rows. The Sales1 and Sales2 users should only see their own sales.Alter the security policy to disable the policy. ALTER SECURITY POLICY SalesFilterWITH (STATE = OFF);Now Sales1 and Sales2 users can see all six rows.Connect to the SQL database to clean up resources DROP USER Sales1;DROP USER Sales2;DROP USER Manager;DROP SECURITY POLICY SalesFilter;DROP TABLE Sales;DROP FUNCTION Security.fnsecuritypredicate;DROP SCHEMA Security;B. Scenarios for using Row Level Security on an Azure SQL Data Warehouse external tableThis short example creates three users and an external table with six rows. It then creates an inline table-valued function and a security policy for the external table.

The example shows how select statements are filtered for the various users.Create three user accounts that will demonstrate different access capabilities. CREATE LOGIN Manager WITH PASSWORD = 'somepassword'GOCREATE LOGIN Sales1 WITH PASSWORD = 'somepassword'GOCREATE LOGIN Sales2 WITH PASSWORD = 'somepassword'GOCREATE USER Manager FOR LOGIN Manager;CREATE USER Sales1 FOR LOGIN Sales1;CREATE USER Sales2 FOR LOGIN Sales2;Create a table to hold data. CREATE TABLE Sales(OrderID int,SalesRep sysname,Product varchar(10),Qty int);Populate the table with six rows of data, showing three orders for each sales representative. INSERT INTO Sales VALUES (1, 'Sales1', 'Valve', 5);INSERT INTO Sales VALUES (2, 'Sales1', 'Wheel', 2);INSERT INTO Sales VALUES (3, 'Sales1', 'Valve', 4);INSERT INTO Sales VALUES (4, 'Sales2', 'Bracket', 2);INSERT INTO Sales VALUES (5, 'Sales2', 'Wheel', 5);INSERT INTO Sales VALUES (6, 'Sales2', 'Seat', 5);- View the 6 rows in the tableSELECT. FROM Sales;Create an Azure SQL Data Warehouse external table from the Sales table created. NoteIn this example block predicates functionality isn't currently supported for Azure SQL Data Warehouse, hence inserting rows for the wrong user ID isn't blocked with Azure SQL Data Warehouse.This example shows how a middle-tier application can implement connection filtering, where application users (or tenants) share the same SQL Server user (the application). The application sets the current application user ID in after connecting to the database, and then security policies transparently filter rows that shouldn't be visible to this ID, and also block the user from inserting rows for the wrong user ID.

No other app changes are necessary.Create a table to hold data. CREATE TABLE Sales (OrderId int,AppUserId int,Product varchar(10),Qty int);Populate the table with six rows of data, showing three orders for each application user. INSERT Sales VALUES(1, 1, 'Valve', 5),(2, 1, 'Wheel', 2),(3, 1, 'Valve', 4),(4, 2, 'Bracket', 2),(5, 2, 'Wheel', 5),(6, 2, 'Seat', 5);Create a low-privileged user that the application will use to connect. Without login only for demoCREATE USER AppUser WITHOUT LOGIN;GRANT SELECT, INSERT, UPDATE, DELETE ON Sales TO AppUser;- Never allow updates on this columnDENY UPDATE ON Sales(AppUserId) TO AppUser;Create a new schema and predicate function, which will use the application user ID stored in SESSIONCONTEXT to filter rows.

CREATE SCHEMA Security;GOCREATE FUNCTION Security.fnsecuritypredicate(@AppUserId int)RETURNS TABLEWITH SCHEMABINDINGASRETURN SELECT 1 AS fnsecuritypredicateresultWHEREDATABASEPRINCIPALID = DATABASEPRINCIPALID('AppUser')AND CAST(SESSIONCONTEXT(N'UserId') AS int) = @AppUserId;GOCreate a security policy that adds this function as a filter predicate and a block predicate on Sales. The block predicate only needs AFTER INSERT, because BEFORE UPDATE and BEFORE DELETE are already filtered, and AFTER UPDATE is unnecessary because the AppUserId column cannot be updated to other values, due to the column permission set earlier. CREATE SECURITY POLICY Security.SalesFilterADD FILTER PREDICATE Security.fnsecuritypredicate(AppUserId)ON dbo.Sales,ADD BLOCK PREDICATE Security.fnsecuritypredicate(AppUserId)ON dbo.Sales AFTER INSERTWITH (STATE = ON);Now we can simulate the connection filtering by selecting from the Sales table after setting different user IDs in SESSIONCONTEXT. In practice, the application is responsible for setting the current user ID in SESSIONCONTEXT after opening a connection.

EXECUTE AS USER = 'AppUser';EXEC spsetsessioncontext @key=N'UserId', @value=1;SELECT. FROM Sales;GO/.

Note: @readonly prevents the value from changing again until the connection is closed (returned to the connection pool)./EXEC spsetsessioncontext @key=N'UserId', @value=2, @readonly=1;SELECT. FROM Sales;GOINSERT INTO Sales VALUES (7, 1, 'Seat', 12); - error: blocked from inserting row for the wrong user IDGOREVERT;GOClean up database resources. DROP USER AppUser;DROP SECURITY POLICY Security.SalesFilter;DROP TABLE Sales;DROP FUNCTION Security.fnsecuritypredicate;DROP SCHEMA Security;See AlsoRelated Articles.