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Example definition syntax: Account_Number bigint MASKED WITH (FUNCTION = 'random([start range], [end range])') Masking method for column defined with data type datetime, datetime2, date, time, datetimeoffset, smalldatetime. It helps masking the year => datetime("Y"), month=> datetime("M") , day=>datetime("D"), hour=>datetime("h"), minute=>datetime("m"), or seconds=>datetime("s") portion of the day.

The following example creates a table with three different types of dynamic data masks. The example populates the table, and selects to show the result. -- schema to contain user tables Masking method that exposes the first and last letters and adds a custom padding string in the middle. prefix,[padding],suffix For date and time data types, use 1900-01-01 00:00:00.0000000 ( date, datetime2, datetime, datetimeoffset, smalldatetime, time).The UNMASK permission does not influence metadata visibility: granting UNMASK alone doesn't disclose any metadata. UNMASK will always need to be accompanied by a SELECT permission to have any effect. Example: granting UNMASK on database scope and granting SELECT on an individual Table will have the result that the user can only see the metadata of the individual table from which he can select, not any others. Also see Metadata Visibility Configuration. Best practices and common use cases Using SELECT INTO or INSERT INTO to copy data from a masked column into another table results in masked data in the target table (assuming it's exported by a user without UNMASK privileges). If the original value is too short to complete the entire mask, part of the prefix or suffix isn't exposed.

A new user is created and granted the SELECT permission on the schema where the table resides. Queries executed as the MaskingTestUser view masked data. CREATE USER MaskingTestUser WITHOUT LOGIN; where the number in DiscountCode is random for every query result. Add or editing a mask on an existing column Administrative users and roles can always view unmasked data via the CONTROL permission, which includes both the ALTER ANY MASK and UNMASK permission. Administrative users or roles such as sysadmin, serveradmin, or db_owner have CONTROL permissions on the database by design, and can view unmasked data.Adding a dynamic data mask is implemented as a schema change on the underlying table, and therefore can't be performed on a column with dependencies. To work around this restriction, you can first remove the dependency, then add the dynamic data mask and then re-create the dependency. For example, if the dependency is due to an index dependent on that column, you can drop the index, then add the mask, and then re-create the dependent index. For numeric data types use a zero value ( bigint, bit, decimal, int, money, numeric, smallint, smallmoney, tinyint, float, real).

A random masking function for use on any numeric type to mask the original value with a random value within a specified range.This content applies to dynamic data masking concepts generally, and specific to SQL Server. Content specific to other platforms is available: XNX Video Player, the free video app for Android, comes with a clean and neat design and the interface is so user-friendly that you get to easily watch your favorite films in any quality without having to worry about going through a complex procedure or ever faxing any lag or slowness.