Security in Superset is handled by Flask AppBuilder (FAB). FAB is a “Simple and rapid application development framework, built on top of Flask.”. FAB provides authentication, user management, permissions and roles.
Superset ships with a set of roles that are handled by Superset itself.
You can assume that these roles will stay up-to-date as Superset evolves.
Even though it’s possible for
Admin usrs to do so, it is not recommended
that you alter these roles in any way by removing
or adding permissions to them as these roles will be re-synchronized to
their original values as you run your next
superset init command.
Since it’s not recommended to alter the roles described here, it’s right
to assume that your security strategy should be to compose user access based
on these base roles and roles that you create. For instance you could
create a role
Financial Analyst that would be made of set of permissions
to a set of data sources (tables) and/or databases. Users would then be
Financial Analyst, and perhaps
Admins have all possible rights, including granting or revoking rights from other users and altering other people’s slices and dashboards.
Alpha have access to all data sources, but they cannot grant or revoke access from other users. They are also limited to altering the objects that they own. Alpha users can add and alter data sources.
Gamma have limited access. They can only consume data coming from data sources they have been giving access to through another complementary role. They only have access to view the slices and dashboards made from data sources that they have access to. Currently Gamma users are not able to alter or add data sources. We assume that they are mostly content consumers, though they can create slices and dashboards.
Also note that when Gamma users look at the dashboards and slices list view, they will only see the objects that they have access to.
sql_lab role grants access to SQL Lab. Note that while
users have access to all databases by default, both
users need to be given access on a per database basis.
Managing Gamma per data source access¶
Here’s how to provide users access to only specific datasets. First make
sure the users with limited access have [only] the Gamma role assigned to
them. Second, create a new role (
Menu -> Security -> List Roles) and
This new window allows you to give this new role a name, attribute it to users
and select the tables in the
Permissions dropdown. To select the data
sources you want to associate with this role, simply click in the dropdown
and use the typeahead to search for your table names.
You can then confirm with your Gamma users that they see the objects (dashboards and slices) associated with the tables related to their roles.
The permissions exposed by FAB are very granular and allow for a great level
of customization. FAB creates many permissions automagically for each model
that is create (can_add, can_delete, can_show, can_edit, ...) as well as for
each view. On top of that, Superset can expose more granular permissions like
We do not recommend altering the 3 base roles as there are a set of assumptions that Superset build upon. It is possible though for you to create your own roles, and union them to existing ones.
Roles are composed of a set of permissions, and Superset has many categories of permissions. Here are the different categories of permissions:
- Model & action: models are entities like
User. Each model has a fixed set of permissions, like
can_add, and so on. By adding
can_delete on Dashboardto a role, and granting that role to a user, this user will be able to delete dashboards.
- Views: views are individual web pages, like the
exploreview or the
SQL Labview. When granted to a user, he/she will see that view in the its menu items, and be able to load that page.
- Data source: For each data source, a permission is created. If the user
does not have the
all_datasource_accesspermission granted, the user will only be able to see Slices or explore the data sources that are granted to them
- Database: Granting access to a database allows for the user to access all data sources within that database, and will enable the user to query that database in SQL Lab, provided that the SQL Lab specific permission have been granted to the user
Restricting access to a subset of data sources¶
The best way to go is probably to give user
Gamma plus one or many other
roles that would add access to specific data sources. We recommend that you
create individual roles for each access profile. Say people in your finance
department might have access to a set of databases and data sources, and
these permissions can be consolidated in a single role. Users with this
profile then need to be attributed
Gamma as a foundation to the models
and views they can access, and that
Finance role that is a collection
of permissions to data objects.
One user can have many roles, so a finance executive could be granted
Finance, and perhaps another
Executive role that gather
a set of data sources that power dashboards only made available to executives.
When looking at its dashboard list, this user will only see the
list of dashboards it has access to, based on the roles and
permissions that were attributed.
Restricting the access to some metrics¶
Sometimes some metrics are relatively sensitive (e.g. revenue).
We may want to restrict those metrics to only a few roles.
For example, assumed there is a metric
and only Admin users are allowed to see it. Here’s how to restrict the access.
- Edit the datasource (
Menu -> Source -> Druid datasources -> edit the record "datasource1") and go to the tab
List Druid Metric. Check the checkbox
Is Restrictedin the row of the metric
- Edit the role (
Menu -> Security -> List Roles -> edit the record “Admin”), in the permissions field, type-and-search the permission
metric access on [cluster1].[datasource1].[revenue] (id: 1), then click the Save button on the bottom of the page.
Any users without the permission will see the error message Access to the metrics denied: revenue (Status: 500) in the slices. It also happens when the user wants to access a post-aggregation metric that is dependent on revenue.