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Updating our permissioning guidelines: grants as configs in dbt Core v1.2

· 7 min read
Jeremy Cohen
Doug Beatty

If you’ve needed to grant access to a dbt model between 2019 and today, there’s a good chance you’ve come across the "The exact grant statements we use in a dbt project" post on Discourse. It explained options for covering two complementary abilities:

  1. querying relations via the "select" privilege
  2. using the schema those relations are within via the "usage" privilege

The solution then

Prior to dbt Core v1.2, we proposed three possible approaches (each coming with caveats and trade-offs):

  1. Using on-run-end hooks to grant select on all tables/views dbt has just built
  2. Using post-hook to grant select on a model as soon as it’s built
  3. Using either default grants (future grants on Snowflake) or a combination of post-hooks and on-run-end hooks instead

These options were the state of the art... until today!

What’s changed?

In v1.2, we introduced a grants config that works a lot like post-hook, with two key differences:

  • You configure grants as a structured dictionary rather than writing all the SQL yourself
  • dbt will take the most efficient path to apply those grants

Why grants are better than hooks

First of all, hooks are hard! Especially that nonsense around nested curlies.

A problem then

Let’s say you’ve been working on an incremental model. Previously, you granted access on this incremental model directly to reporter, so people can query it downstream:

-- models/my_incremental_model.sql

{{ config(
materialized = 'incremental',
post_hook = ["grant select on {{ this }} to reporter"]
) }}

select ...

Over time, this model took on more and more responsibilities and you decided to refactor the incremental model to feed a series of dedicated views instead. Thoughtfully, you also removed the post_hook that granted direct access to the incremental model:

-- models/my_incremental_model.sql

{{ config(materialized = 'incremental') }}

select ...

The problem? Until you --full-refresh it, your incremental model is still granted to the reporter role!

The solution today

dbt’s new grants implementation takes account of this. It knows whether grants are “carried over” when a model is re-run based on its materialization and your database. It makes up the difference between the existing grants and the ones you actually want.

Try it out!

-- models/my_incremental_model.sql

{{ config(
materialized = 'incremental',
grants = {'select': ['another_user']}
) }}

select ...

Run that, verify that another_user can select from your model. Then change your model and run it again:

-- models/my_incremental_model.sql

{{ config(
materialized = 'incremental',
grants = {'select': []}
) }}

select ...

If you check your database, you should see that no one can select from the incremental model. You could also see, in the debug-level logs, that dbt has run a revoke statement.

(Note that, if grants is missing or set to {}, dbt will understand that you don’t want it managing grants for this table. So it’s best to explicitly specify the privilege, and that you want no one to have it!)

Great! Now that you’re using the grants feature in dbt v1.2, you’ve just given this more thought than you should ever need to again 😎

Is there still a place for hooks?

Yes, indeed! Some areas that stand out:

Granting permissions on other object types

For now, it’s still necessary to grant usage on schemas to users that will need to select from objects in those schemas. Even though dbt creates schemas at the start of runs, there isn’t really a way to configure schemas as their own objects within dbt.

Here's a couple ways you could approach it:

  • Option A -- simple and familiar -- hooks to the rescue
  • Option B -- too clever by half -- use the dbt graph to infer which schemas need "usage"

Option A: simple and familiar

# better as a macro
- "{% for schema in schemas %}grant usage on schema {{ schema }} to reporter;{% endfor %}"

Upside: Short, sweet, to the point.

Downside: we need to repeat the same list of roles here that we specified in our grants config.

Option B: Too clever by half

Now that grants is a real config in dbt, available via dbt metadata, you can do all sorts of fun things with it. For instance, figure out which schemas have at least one object granting select to a role, and then grant usage on that schema to that role!

-- macros/operations/reporting_grants.sql
{% macro grant_usage_on_schemas_where_select() %}
Note: This is pseudo code only, for demonstration purposes
For every role that can access at least one object in a schema,
grant 'usage' on that schema to the role.
That way, users with the role can run metadata queries showing objects
in that schema (a common need for BI tools)
{% set schema_grants = {} %}
{% if execute %}
{% for node in graph.nodes.values() %}
{% set grants = node.config.get('grants') %}
{% set select_roles = grants['select'] if grants else [] %}
{% if select_roles %}
{% set database_schema = node.database ~ "." ~ node.schema %}
{% if database_schema in database_schemas %}
{% do schema_grants[database_schema].add(select_roles) %}
{% else %}
{% do schema_grants.update({database_schema: set(select_roles)}) %}
{% endif %}
{% endif %}
{% endfor %}
{% endif %}
{% set grant_list %}
{% for schema in schema_grants %}
{% for role in schema_grants[schema] %}
grant usage on schema {{ schema }} to {{ role }};
{% endfor %}
{% endfor %}
{% endset %}
{{ return(grant_list) }}
{% endmacro %}

This is certainly too clever -- but you get the idea, and an illustration of what's possible!

You can even do this at the start of the run, right after dbt creates its schemas, rather than waiting until the end. (Although it’s not a huge deal to wait.)

- {{ grant_usage_on_schemas_where_select() }}

Advanced permissions (or other operations)

Want to restrict access to specific rows in a table for specific users? Or dynamically mask column values depending on who’s asking?

The approach varies by database: in Snowflake, you’ll still want a post-hook to apply a row access policy or a column masking policy to your table whereas in Databricks you'd use dynamic view functions.

It’s good to have hooks and operations as a method to utilize cutting-edge database capabilities. Any cases that become a wide and clearly demonstrated need can be upgraded by being built into dbt-core.


Caveats and trade-offs of the original guidance

on-run-end hooks:

for the period of time between when a model runs, and the end of the run, no one will be able to query that model, instead they’ll get a “permission denied” error. This creates downtime in your BI tool.”

manage grants privilege:

It is worth noting that this privilege is a global privilege – now anyone using the transformer role can change grants on any object as though they are the owner of the object. Up to you if you’re comfortable with this! If not, you may want to use a combination of post-hooks and on-run-end hooks instead 🙂”

The biggest problems:

  • Even if you wrote the DRYest code you could, there are still thousands of projects who have all written the same exact DCL statements, wrapped in the same exact macros.
  • Default + future grants—our original recommendation, back in 2019— are tricky. They often require extra permissions (superuser status!), they take effect automatically, and they don’t fly for folks at many organizations with tighter security policies.

This is just a sample of the issues we've seen: