• Overview
• Installation Instructions
• How to apply masking policy ?
• How to remove masking policy ?
• How to validate masking policy ?
• Future Enhancements & Limitations
• Credits
• References

This dbt package contains macros that can be (re)used across dbt projects with snowflake. dbt_snow_mask will help to apply Dynamic Data Masking using dbt meta.

• Add the package into your project.

  Example : packages.yml

     - git: "https://github.com/entechlog/dbt-snow-mask.git"
       revision: 0.1.5

     - package: entechlog/dbt_snow_mask
       version: 0.1.5

• Packages can be added to your project using either of these options
• Please refer to the release version of this repo/dbt hub for the latest revision

• Masking is controlled by meta in dbt resource properties for sources and models.

• Decide you masking policy name and add the key masking_policy in the column which has to be masked.

  Example : source.yml

  sources:
    - name: sakila
      tables:
        - name: actor
          columns:
            - name: FIRST_NAME
              meta:
                  masking_policy: temp

  Example : model.yml

  models:
    - name: stg_customer
      columns:
        - name: customer_last_name
        - name: customer_email
          meta:
            masking_policy: temp

• Create a new .sql file with the name create_masking_policy_<masking-policy-name-from-meta>.sql and the sql for masking policy definition. Its important for macro to follow this naming standard.

  Example : create_masking_policy_temp.sql

  {% macro create_masking_policy_temp(node_database,node_schema) %}
  
  CREATE MASKING POLICY IF NOT EXISTS {{node_database}}.{{node_schema}}.temp AS (val string) 
    RETURNS string ->
        CASE WHEN CURRENT_ROLE() IN ('ANALYST') THEN val 
             WHEN CURRENT_ROLE() IN ('DEVELOPER') THEN SHA2(val)
        ELSE '**********'
        END
  
  {% endmacro %}

Its good to keep the masking policy ddl organized in a directory say \macros\snow-mask-ddl

• Create the masking policies by running below command

  Resource Type	Command
  sources	dbt run-operation create_masking_policy --args '{"resource_type": "sources"}'
  models	dbt run-operation create_masking_policy --args '{"resource_type": "models"}'

• Add post-hook to dbt_project.yml

  Example : dbt_project.yml

  models:
    post-hook: 
      - "{{ dbt_snow_mask.apply_masking_policy() }}"

• Apply the masking policy by running below commands

  Resource Type	Command
  sources	dbt run-operation apply_masking_policy --args '{"resource_type": "sources"}'
  models	dbt run -- model <model-name>

• Remove the masking policy applied by this package by running below commands

  Resource Type	Command
  sources	dbt run-operation unapply_masking_policy --args '{"resource_type": "sources"}'
  models	dbt run-operation unapply_masking_policy --args '{"resource_type": "models"}'

-- Show masking policy
SHOW MASKING POLICIES;

-- Describe masking policy
DESCRIBE MASKING POLICY <masking-policy-name>;

-- Show masking policy references
USE DATABASE <database-name>;

USE SCHEMA INFORMATION_SCHEMA;

SELECT *
  FROM TABLE(INFORMATION_SCHEMA.POLICY_REFERENCES(POLICY_NAME => '<database-name>.<schema-name>.<masking-policy-name>'));

• Optimize macros & reduce number of lines in macros
• unapply_masking_policy has to be executed before running masking policy definitions with CREATE OR REPLACE MASKING POLICY

This package was created using examples from Serge and Matt

• https://docs.snowflake.com/en/user-guide/security-column-ddm-intro.html
• https://getdbt.slack.com/archives/CJN7XRF1B/p1609177817234800