Categories:

Table, View, & Sequence DDL

ALTER MASKING POLICY

Replaces the existing masking policy rules with new rules or a new comment and allows the renaming of a masking policy.

Any changes made to the policy rules go into effect when the next SQL query that uses the masking policy runs.

See also:

Masking Policy DDL

Syntax

ALTER MASKING POLICY [ IF EXISTS ] <name> SET BODY -> <expression_on_arg_name>

ALTER MASKING POLICY [ IF EXISTS ] <name> RENAME TO <new_name>

ALTER MASKING POLICY [ IF EXISTS ] <NAME> SET COMMENT = '<string_literal>'

Parameters

name

Identifier for the masking policy; must be unique in the parent schema of the policy.

The identifier value must start with an alphabetic character and cannot contain spaces or special characters unless the entire identifier string is enclosed in double quotes (e.g. "My object"). Identifiers enclosed in double quotes are also case-sensitive.

For more details, see Identifier Requirements.

expression_on_arg_name

SQL expression that transforms the data.

The expression can include Conditional Expression Functions to represent conditional logic, built-in functions, or UDFs to transform the data.

If a UDF or external function is used inside the masking policy body, the policy owner must have the USAGE privilege on the UDF or external function. Users querying a column that has a masking policy applied to it do not need to have USAGE on the UDF or external function.

If a UDF or external function is used inside the conditional masking policy body, the policy owner must have the OWNERSHIP privilege on the UDF or external function. Users querying a column that has a conditional masking policy applied to it do not need to have USAGE on the UDF or external function.

RENAME TO new_name

Specifies the new identifier for the masking policy; must be unique for your schema. The new identifier cannot be used if the identifier is already in place for a different masking policy.

For more details, see Identifier Requirements.

You can move the object to a different database and/or schema while optionally renaming the object. To do so, specify a qualified new_name value that includes the new database and/or schema name in the form db_name.schema_name.object_name or schema_name.object_name, respectively.

Note

  • The destination database and/or schema must already exist. In addition, an object with the same name cannot already exist in the new location; otherwise, the statement returns an error.

  • Moving an object to a managed access schema is prohibited unless the object owner (i.e. the role that has the OWNERSHIP privilege on the object) also owns the target schema.

COMMENT = 'string_literal'

Adds a comment or overwrites the existing comment for the masking policy.

Default: No value

Access Control Requirements

A role used to execute this SQL command must have the following privileges at a minimum:

Privilege

Object

Notes

OWNERSHIP

Masking policy

OWNERSHIP is a special privilege on an object that is automatically granted to the role that created the object, but can also be transferred using the GRANT OWNERSHIP command to a different role by the owning role (or any role with the MANAGE GRANTS privilege).

Note that operating on any object in a schema also requires the USAGE privilege on the parent database and schema.

For instructions on creating a custom role with a specified set of privileges, see Creating Custom Roles.

For general information about roles and privilege grants for performing SQL actions on securable objects, see Access Control in Snowflake.

For additional details on masking policy DDL and privileges, see Managing Column-level Security.

Usage Notes

  • If you want to update an existing masking policy and need to see the current definition of the policy, call the GET_DDL function or run the DESCRIBE MASKING POLICY command.

  • You cannot change the policy signature (i.e. argument name or input/output data type). If you need to change the signature, execute a DROP MASKING POLICY statement on the policy and create a new one.

  • Before executing an ALTER statement, you can execute a DESCRIBE MASKING POLICY statement to determine the argument name to use for updating the policy.

  • For masking policies that include a subquery in the masking policy body, use EXISTS in the WHEN clause. For a representative example, see the custom entitlement table example in the Examples section in CREATE MASKING POLICY.

  • Adding a masking policy to a column fails if the column is referenced by a row access policy. For more information, see ALTER ROW ACCESS POLICY.

  • If using a UDF in a masking policy, ensure the data type of the column, UDF, and masking policy match. For more information, see User-defined Functions in a Masking Policy.

  • Regarding metadata:

    Attention

    Customers should ensure that no personal data (other than for a User object), sensitive data, export-controlled data, or other regulated data is entered as metadata when using the Snowflake service. For more information, see Metadata Fields in Snowflake.

Examples

The following example updates the masking policy to use a SHA-512 hash. Users without the ANALYST role see the value as a SHA-512 hash, while users with the ANALYST role see the plain-text value.

DESCRIBE MASKING POLICY email_mask;

-- evaluate output

+-----+------------+---------------+-------------------+-----------------------------------------------------------------------+
| Row | name       | signature     | return_type       | body                                                                  |
+-----+------------+---------------+-------------------+-----------------------------------------------------------------------+
| 1   | EMAIL_MASK | (VAL VARCHAR) | VARCHAR(16777216) | case when current_role() in ('ANALYST') then val else '*********' end |
+-----+------------+---------------+-------------------+-----------------------------------------------------------------------+

ALTER MASKING POLICY email_mask SET BODY ->
  CASE
    WHEN current_role() IN ('ANALYST') THEN VAL
    ELSE sha2(val, 512)
  END;
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