Projection policies

This topic provides information about using projection policies to allow or prevent column projection in the output of a SQL query result.

Overview

A projection policy is a first-class, schema-level object that defines whether a column can be projected in the output of a SQL query result. A column with a projection policy assigned to it is said to be projection constrained.

Projection policies can be used to constrain identifier columns (e.g. name, phone number) for objects when sharing data securely. For example, consider two companies that would like to work as solution partners and want to identify a set of common customers prior to developing an integrated solution. The provider can assign a projection policy to identifier columns in the share that are necessary to allow the consumer to identify sensitive information. The consumer can use the shared data to perform a match based on previously agreed columns that are necessary to the solution, but cannot return values from those columns.

The benefits of using the projection policy in this example include:

  • The consumer can match records based on a particular value without being able to view that value.

  • Sensitive provider information cannot be output in the SQL query result. For details, see the Considerations section (in this topic).

After creating the projection policy, a policy administrator can assign the projection policy to a column. A column can only have one projection policy assigned to it at any given time. A user can project the column only if their active role matches a projection policy condition that allows the column to be projected.

Note that a projection constrained column can also be protected by a masking policy and the table containing the projection constrained column can be protected by a row access policy. For more details, see Masking & row access policies (in this topic).

Column usage

Snowflake tracks column usage. Indirect references to a column, such as a view definition, UDF (in this topic), and common table expression, impact column projection when a projection policy is set on a column.

When a projection policy is set on the column and the column cannot be projected, the column:

  • Is not included in the output of a query result.

  • Cannot be inserted into another table.

  • Cannot be an argument for an external function or stored procedure.

Limitations

UDFs:

For limitations regarding user-defined functions (UDFs), see User-defined functions (UDFs) (in this topic).

Policy:

A projection policy cannot be applied to:

  • A tag, and that tag cannot be assigned to a table or column (i.e. “tag-based projection policies”).

  • A virtual column or to the VALUE column in an external table.

    As a workaround, create a view and assign a projection policy to each column that should not be projected.

  • The value_column in a PIVOT construct. For related details, see UNPIVOT (in this topic).

A projection policy body cannot reference a column protected by a masking policy or a table protected by a row access policy. For additional details, see Masking & row access policies (in this topic).

Considerations

Use projection policies when the use case calls for querying a sensitive column without directly exposing the column value to an analyst or similar role. The column value within a projection constrained column can be analyzed with greater flexibility than a masked or tokenized value. However, consider the following prior to setting a projection policy on a column:

  • A projection policy does not prevent the targeting of an individual.

    For example, a user can filter rows where the name column corresponds to a particular individual, even if the column is projection constrained. However, the user cannot run a SELECT statement to view names of the individuals in the table.

  • When a projection constrained column is the join key for a query that combines data from the protected table with data from an unprotected table, nothing prevents the user from projecting values from the column in the unprotected table. As a result, if a value in the unprotected table matches a value in the protected column, the user can obtain that value by projecting it from the unprotected table.

    For example, suppose a projection policy was assigned to the email column of the t_protected table. A user can still ascertain values in the t_protected.email column by executing:

    SELECT t_unprotected.email
      FROM t_unprotected JOIN t_protected ON t_unprotected.email = t_protected.email;
    
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  • A projection constraint does not guarantee a malicious actor could not use deliberate queries to obtain potentially sensitive data from a projection-constrained column. Projection policies are bested suited for use with partners and customers with whom you have an existing level of trust. In addition, providers should be vigilant about potential misuses of their data (e.g. reviewing the access history for their listings).

Create a projection policy

A projection policy contains a body that calls the internal PROJECTION_CONSTRAINT function to determine whether to project a column.

CREATE OR REPLACE PROJECTION POLICY <name>
  AS () RETURNS PROJECTION_CONSTRAINT -> <body>
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Where:

  • name specifies the name of the policy.

  • AS () RETURNS PROJECTION_CONSTRAINT is the signature and return type of the policy. The signature does not accept any arguments and the return type is PROJECTION_CONSTRAINT, which is an internal data type. All projection policies have the same signature and return type.

  • body is the SQL expression that determines whether to project the column. The expression calls the internal PROJECTION_CONSTRAINT function to allow or prevent the projection of a column:

    • PROJECTION_CONSTRAINT(ALLOW => true) allows projecting a column.

    • PROJECTION_CONSTRAINT(ALLOW => false) does not allow projecting a column.

Example policies

The simplest projection policies call the PROJECTION_CONSTRAINT function directly:

Allow column projection
CREATE OR REPLACE PROJECTION POLICY mypolicy
AS () RETURNS PROJECTION_CONSTRAINT ->
PROJECTION_CONSTRAINT(ALLOW => true)
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Prevent column projection
CREATE OR REPLACE PROJECTION POLICY mypolicy
AS () RETURNS PROJECTION_CONSTRAINT ->
PROJECTION_CONSTRAINT(ALLOW => false)
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More complicated SQL expressions can be written to call the PROJECTION_CONSTRAINT function. The expression can use Conditional expression functions and Context functions to introduce logic to allow certain users with a particular role to project a column and prevent all other users from projecting a column.

Tip

You can use the following strategies when using context functions in a conditional policy:

  • Context functions return strings, so comparisons using them are case-sensitive. You can use LOWER to convert strings to all lowercase if you’d like to do a case-insensitive comparison.

  • The POLICY_CONTEXT function helps you evaluate whether a policy body is returning the correct value when a context function returns a certain value. The POLICY_CONTEXT function simulates query results based upon a specified value of one or more context functions.

The following example includes a CASE expression and CURRENT_ROLE context function to create a conditional policy that only allows users with the analyst custom role to project a column:

CREATE OR REPLACE PROJECTION POLICY mypolicy
AS () RETURNS PROJECTION_CONSTRAINT ->
CASE
  WHEN CURRENT_ROLE() = 'ANALYST'
    THEN PROJECTION_CONSTRAINT(ALLOW => true)
  ELSE PROJECTION_CONSTRAINT(ALLOW => false)
END;
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The following example uses the SYSTEM$GET_TAG_ON_CURRENT_COLUMN function so that a tag that is assigned to a column determines whether the column can be projected. In this case, when the policy is assigned to a column, the value of the tags.accounting_col tag on that column must be public in order to project the column.

CREATE PROJECTION POLICY mypolicy
AS () RETURNS PROJECTION_CONSTRAINT ->
CASE
  WHEN SYSTEM$GET_TAG_ON_CURRENT_COLUMN('tags.accounting_col') = 'public'
    THEN PROJECTION_CONSTRAINT(ALLOW => true)
  ELSE PROJECTION_CONSTRAINT(ALLOW => false)
END;
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For data sharing use cases, the provider can write a projection policy to constrain column projection for all consumer accounts using the CURRENT_ACCOUNT context function, or selectively restrict column projection in specific shares using the INVOKER_SHARE context function. For example:

Restrict all consumer accounts

In this example, provider.account is the account identifier in the account name format:

CREATE OR REPLACE PROJECTION POLICY restrict_consumer_accounts
AS () RETURNS PROJECTION_CONSTRAINT ->
CASE
  WHEN CURRENT_ACCOUNT() = 'provider.account'
    THEN PROJECTION_CONSTRAINT(ALLOW => true)
  ELSE PROJECTION_CONSTRAINT(ALLOW => false)
END;
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Restrict to specific shares

Consider a data sharing provider account that has a projection policy set on a column of a secure view. There are two different shares (SHARE1 and SHARE2) that can access the secure view to support two different data sharing consumers.

If a user in the data sharing consumer account attempts to project the column through either share they can project the column, otherwise the column cannot be projected:

CREATE OR REPLACE PROJECTION POLICY projection_share
AS () RETURNS PROJECTION_CONSTRAINT ->
CASE
  WHEN INVOKER_SHARE() IN ('SHARE1', 'SHARE2')
    THEN PROJECTION_CONSTRAINT(ALLOW => true)
  ELSE PROJECTION_CONSTRAINT(ALLOW => false)
END;
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Assign a projection policy

A projection policy is applied to a table column using an ALTER TABLE … ALTER COLUMN command and a view column using an ALTER VIEW command. Each column supports only one projection policy.

ALTER { TABLE | VIEW } <name>
{ ALTER | MODIFY } COLUMN <col1_name>
SET PROJECTION POLICY <policy_name> [ FORCE ]
[ , <col2_name> SET PROJECTION POLICY <policy_name> [ FORCE ] ... ]
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Where:

  • name specifies the name of the table or view.

  • col1_name specifies the name of the column in the table or view.

  • col2_name specifies the name of an additional column in the table or view.

  • policy_name specifies the name of the projection policy set on the column.

  • FORCE is an optional parameter that allows the command to assign the projection policy to a column that already has a projection policy assigned to it. The new projection policy atomically replaces the existing one.

For example, to set a projection policy proj_policy_acctnumber on the account_number column of a table:

ALTER TABLE finance.accounting.customers
 MODIFY COLUMN account_number
 SET PROJECTION POLICY proj_policy_acctnumber;
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You can also use the WITH clause of the CREATE TABLE and CREATE VIEW commands to assign a projection policy to a column when the table or view is created. For example, to assign the policy my_proj_policy to the account_number column of a new table, execute:

CREATE TABLE t1 (account_number NUMBER WITH PROJECTION POLICY my_proj_policy);
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You can also use the WITH clause when adding a new column to an existing table. For example, to assign the policy my_proj_policy to the zipcode column, which is being added to the existing table customers, execute:

ALTER TABLE customers ADD COLUMN account_number NUMBER WITH PROJECTION POLICY my_proj_policy;
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Replace a projection policy

The recommended method of replacing a projection policy is to use the FORCE parameter to detach the existing projection policy and assign the new one in a single command. This allows you to atomically replace the old policy, leaving no gap in protection.

For example, to assign a new projection policy to a column that is already projection-constrained:

ALTER TABLE finance.accounting.customers
  MODIFY COLUMN account_number
  SET PROJECTION POLICY proj_policy2 FORCE;
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You can also detach the projection policy from a column in one statement (… UNSET PROJECTION POLICY) and then set a new policy on the column in a different statement (… SET PROJECTION POLICY <name>). If you choose this method, the column is not protected by a projection policy in between detaching one policy and assigning another. A query could potentially access sensitive data during this time.

Detach a projection policy

Use the UNSET PROJECTION POLICY clause of an ALTER TABLE or ALTER VIEW command to detach a projection policy from the column of a table or view. The name of the projection policy is not required because a column cannot have more than one projection policy attached.

ALTER { TABLE | VIEW } <name>
{ ALTER | MODIFY } COLUMN <col1_name>
UNSET PROJECTION POLICY
[ , <col2_name> UNSET PROJECTION POLICY ... ]
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Where:

  • name specifies the name of the table or view.

  • col1_name specifies the name of the column in the table or view.

  • col2_name specifies the name of an additional column in the table or view.

For example, to remove the projection policy from the account_number column:

ALTER TABLE finance.accounting.customers
 MODIFY COLUMN account_number
 UNSET PROJECTION POLICY;
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Monitor projection policies with SQL

It can be helpful to think of two general approaches to determine how to monitor projection policy usage.

Discover projection policies

You can use the PROJECTION_POLICIES view in the Account Usage schema of the shared SNOWFLAKE database. This view is a catalog for all projection policies in your Snowflake account. For example:

SELECT * FROM SNOWFLAKE.ACCOUNT_USAGE.PROJECTION_POLICIES
ORDER BY POLICY_NAME;
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Identify projection policy references

The POLICY_REFERENCES Information Schema table function can identify projection policy references. There are two different syntax options:

  1. Return a row for each object (i.e. table or view) that has the specified projection policy set on a column:

    USE DATABASE my_db;
    SELECT policy_name,
           policy_kind,
           ref_entity_name,
           ref_entity_domain,
           ref_column_name,
           ref_arg_column_names,
           policy_status
    FROM TABLE(information_schema.policy_references(policy_name => 'my_db.my_schema.projpolicy'));
    
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  2. Return a row for each policy assigned to the table named my_table:

    USE DATABASE my_db;
    USE SCHEMA information_schema;
    SELECT policy_name,
           policy_kind,
           ref_entity_name,
           ref_entity_domain,
           ref_column_name,
           ref_arg_column_names,
           policy_status
    FROM TABLE(information_schema.policy_references(ref_entity_name => 'my_db.my_schema.my_table', ref_entity_domain => 'table'));
    
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Extended example

Creating a projection policy and assigning the projection policy to a column follows the same general procedure as creating and assigning other policies, such as masking and row access policies:

  1. For a centralized management approach, create a custom role (e.g. proj_policy_admin) to manage the policy.

  2. Grant this role the privileges to create and assign a projection policy.

  3. Create the projection policy.

  4. Assign the projection policy to a column.

Based on this general procedure, complete the following steps to assign a projection policy to a column:

  1. Create a custom role to manage the projection policy:

    USE ROLE useradmin;
    
    CREATE ROLE proj_policy_admin;
    
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  2. Grant the proj_policy_admin custom role the privileges to create a projection policy in a schema and assign the projection policy to any table or view column in the Snowflake account.

    This step assumes the projection policy will be stored in a database and schema named privacy.projpolicies and this database and schema already exist:

    GRANT USAGE ON DATABASE privacy TO ROLE proj_policy_admin;
    GRANT USAGE ON SCHEMA privacy.projpolicies TO ROLE proj_policy_admin;
    
    GRANT CREATE PROJECTION POLICY
      ON SCHEMA privacy.projpolicies TO ROLE proj_policy_admin;
    
    GRANT APPLY PROJECTION POLICY ON ACCOUNT TO ROLE proj_policy_admin;
    
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    For details, see Privileges and commands (in this topic).

  3. Create a projection policy to prevent column projection:

    USE ROLE proj_policy_admin;
    USE SCHEMA privacy.projpolicies;
    
    CREATE OR REPLACE PROJECTION POLICY proj_policy_false
    AS () RETURNS PROJECTION_CONSTRAINT ->
    PROJECTION_CONSTRAINT(ALLOW => false);
    
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  4. Assign the projection policy to a table column:

    ALTER TABLE customers MODIFY COLUMN active
    SET PROJECTION POLICY privacy.projpolicies.proj_policy_false;
    
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Projection policies with Snowflake features

The following subsections briefly summarize how projection policies interact with various Snowflake features and services.

Masking & row access policies

This section describes how a projection policy interacts with a masking policy and a row access policy.

Multiple policies:

A column can have a masking policy and a projection policy at the same time, and the table containing this column can be protected by a row access policy. If all three policies are present, Snowflake processes the table and policies as follows:

  1. Apply row filters according to the row access policy.

  2. Determine if the query is attempting to project any columns that are restricted by the projection policy, and if so, reject the query.

  3. Apply column masks according to the masking policy.

A column protected by a masking policy can also be projection constrained. For example, a masking policy set on a column containing account numbers can have a condition that allows users with the finance_admin custom role to see the account numbers and another condition to replace the account numbers with a hash for all other roles.

A projection policy can further restrict the column such that users with the analyst custom role cannot project the column. Note that users with the analyst custom role can still analyze the column by grouping hashes or joining on these hashes.

Snowflake recommends that policy administrators work with internal compliance and regulatory officers to determine the columns that should be projection constrained.

Policy evaluation:

A projection constrained column cannot be referenced by a masking policy or a row access policy when:

  • Assigning a row access policy to a table.

  • Enumerating one or more columns in a conditional masking policy.

  • Performing a mapping table lookup.

As mentioned in the Limitations (in this topic), a projection policy body cannot reference a column protected by a masking policy or a table protected by a row access policy.

Dependent objects with other projection policies

Consider the following series of objects:

base_table » v1 » v2

Where:

  • v1 is a view built from the table named base_table.

  • v2 is a view built from v1.

If there is a query on a column in a view that is projection-constrained and that column depends on a projection constrained column in base_table, the view column will be projected only if both projection policies allow the column to be projected.

Snowflake checks the column lineage chain all the way to the base table to ensure that any references to the column are not projection constrained. If any column in the lineage chain is projection constrained and the column is not allowed to be projected, Snowflake blocks the query.

Views & materialized views

A projection policy on a view column constrains the view column and not the underlying base table column.

Regarding references, a projection policy that constrains a table column carries over to a view that references the constrained table column.

Streams & tasks

Projection policies on columns in a table carry over to a stream on the same table. Note that a projection policy cannot be set on a stream.

Similarly, a projection constrained column remains constrained when a task references the constrained column.

UNPIVOT

The result of an UNPIVOT construct depends on whether a column was initially constrained by a projection policy. Note:

  • Constrained columns prior to and after executing UNPIVOT remain projection constrained.

  • The name_column always appears in the query result.

  • If any columns in the column_list are projection constrained, the value_column is also projection constrained.

Cloned objects

The following approach helps to safeguard data from users with the SELECT privilege on a cloned table or view that is stored in the cloned database or schema:

  • Cloning an individual projection policy object is not supported.

  • Cloning a schema results in the cloning of all projection policies within the schema.

  • A cloned table maps to the same projection policies as the source table.

    • When a table is cloned in the context of its parent schema cloning, if the source table has a reference to a projection policy in the same parent schema (i.e. a local reference), the cloned table will have a reference to the cloned projection policy.

    • If the source table refers to a projection policy in a different schema (i.e. a foreign reference), then the cloned table retains the foreign reference.

For more information, see CREATE <object> … CLONE.

Replication

Projection policies and their assignments can be replicated using database replication and replication groups.

For database replication, the replication operation fails if either of the following conditions is true:

  • The primary database is in an Enterprise (or higher) account and contains a policy but one or more of the accounts approved for replication are on lower editions.

  • A table or view contained in the primary database has a dangling reference to a projection policy in another database.

The dangling reference behavior for database replication can be avoided when replicating multiple databases in a replication group.

User-defined functions (UDFs)

Note the following regarding projection constraints and UDFs:

Scalar SQL UDFs:

Snowflake evaluates the UDF and then applies the projection policy to the projection constrained column.

If a column in a SELECT statement is transitively derived from a UDF, which is also derived from a projection constrained column, Snowflake blocks the query. In other words:

pc_column » UDF » column (in SELECT statement)

Where:

  • pc_column refers to a projection constrained column.

Because the column in the SELECT statement can be traced to a projection constrained column, Snowflake blocks the query.

SQL UDTFs:

SQL user-defined table functions (UDTF) follow the same behavior as SQL UDFs, except that because rows are returned in the function output, Snowflake evaluates each table column independently to determine whether to project the column in the function output.

Other UDFs:

The following applies to Introduction to Java UDFs, Introduction to JavaScript UDFs, Introduction to Python UDFs:

  • A projection constrained column is constrained in the UDTF output.

Logging & Event Tables:

When a UDF, UDTF, or JavaScript UDF has a projection-constrained argument, Snowflake does not capture log and event details in the corresponding event table. However, Snowflake allows the UDF/UDTF to execute and does not fail the statement calling the UDF/UDTF due to logging reasons.

Privileges and commands

The following subsections provide information to help manage projection policies.

Projection policy privileges

Snowflake supports the following privileges on the projection policy object.

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

Privilege

Usage

APPLY

Enables the set and unset operations for a projection policy on a column.

OWNERSHIP

Transfers ownership of the projection policy, which grants full control over the projection policy. Required to alter most properties of a projection policy.

For details, see Summary of DDL commands, operations, and privileges (in this topic).

Projection policy DDL reference

Snowflake supports the following DDL to create and manage projection policies.

Summary of DDL commands, operations, and privileges

The following table summarizes the relationship between projection policy privileges and DDL operations.

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

Operation

Privilege required

Create projection policy.

A role with the CREATE PROJECTION POLICY privilege in the same schema.

Alter projection policy.

The role with the OWNERSHIP privilege on the projection policy.

Describe projection policy

One of the following:

  • A role with the global APPLY PROJECTION POLICY privilege, or

  • A role with the OWNERSHIP privilege on the projection policy, or

  • A role with the APPLY privilege on the projection policy.

Drop projection policy.

A role with the OWNERSHIP privilege on the projection policy.

Show projection policies.

One of the following:

  • A role with the USAGE privilege on the schema in which the projection policy exists, or

  • A role with the APPLY PROJECTION POLICY on the account.

Set or unset a projection policy on a column.

One of the following:

  • A role with the APPLY PROJECTION POLICY privilege on the account, or

  • A role with the APPLY privilege on the projection policy and the OWNERSHIP privilege on the table or view.

Snowflake supports different permissions to create and set a projection policy on an object.

  1. For a centralized projection policy management approach in which the projection_policy_admin custom role creates and sets projection policies on all columns, the following permissions are necessary:

    USE ROLE securityadmin;
    GRANT USAGE ON DATABASE mydb TO ROLE projection_policy_admin;
    GRANT USAGE ON SCHEMA mydb.schema TO ROLE projection_policy_admin;
    
    GRANT CREATE PROJECTION POLICY ON SCHEMA mydb.schema TO ROLE projection_policy_admin;
    GRANT APPLY ON PROJECTION POLICY ON ACCOUNT TO ROLE projection_policy_admin;
    
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  2. In a hybrid management approach, a single role has the CREATE PROJECTION POLICY privilege to ensure projection policies are named consistently and individual teams or roles have the APPLY privilege for a specific projection policy.

    For example, the custom role finance_role role can be granted the permission to set the projection policy cost_center on tables and views the role owns (i.e. the role has the OWNERSHIP privilege on the table or view):

    USE ROLE securityadmin;
    GRANT CREATE PROJECTION POLICY ON SCHEMA mydb.schema TO ROLE projection_policy_admin;
    GRANT APPLY ON PROJECTION POLICY cost_center TO ROLE finance_role;
    
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