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docs: Document minimum IAM requirement #416

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49 changes: 31 additions & 18 deletions 49 README.rst
Original file line number Diff line number Diff line change
Expand Up @@ -34,6 +34,11 @@ Prerequisites
`install and initialize the gcloud CLI <https://cloud.google.com/sdk/docs/install>`_,
and then generate the application default credentials by doing
`gcloud auth application-default login <https://cloud.google.com/sdk/gcloud/reference/auth/application-default/login>`_.
* The user must have
`BigQuery Job User <https://cloud.google.com/bigquery/docs/access-control#bigquery.jobUser>`_ and
`BigQuery Read Session User <https://cloud.google.com/bigquery/docs/access-control#bigquery.readSessionUser>`_
roles for the minimum usage. Additional IAM requirements apply for using remote
functions and ML.

Code sample
^^^^^^^^^^^
Expand Down Expand Up @@ -215,6 +220,30 @@ steps and an estimator together.
to create a pipeline of transforms with a final estimator.


ML remote models
----------------

**Requirements**

To use BigQuery DataFrames ML remote models (`bigframes.ml.remote` or `bigframes.ml.llm`),
you must enable the following APIs:

* The BigQuery API (bigquery.googleapis.com)
* The BigQuery Connection API (bigqueryconnection.googleapis.com)
* The Vertex AI API (aiplatform.googleapis.com)

and you must be granted the following IAM roles:

* BigQuery Data Editor (roles/bigquery.dataEditor)
* BigQuery Connection Admin (roles/bigquery.connectionAdmin)
* Service Account User (roles/iam.serviceAccountUser) on the
`service account <https://cloud.google.com/functions/docs/reference/iam/roles#additional-configuration>`__
``PROJECT_NUMBER-compute@developer.gserviceaccount.com``
* Vertex AI User (roles/aiplatform.user)
* Project IAM Admin (roles/resourcemanager.projectIamAdmin) if using default
BigQuery connection, or Browser (roles/browser) if using a pre-created connection


ML locations
------------

Expand Down Expand Up @@ -311,24 +340,8 @@ following IAM roles:
`service account <https://cloud.google.com/functions/docs/reference/iam/roles#additional-configuration>`__
``PROJECT_NUMBER-compute@developer.gserviceaccount.com``
* Storage Object Viewer (roles/storage.objectViewer)
* Project IAM Admin (roles/resourcemanager.projectIamAdmin)

To use BigQuery DataFrames ML remote models(bigframes.ml.remote or bigframes.ml.llm), you must enable the following APIs:

* The BigQuery API (bigquery.googleapis.com)
* The BigQuery Connection API (bigqueryconnection.googleapis.com)
* The Vertex AI API (aiplatform.googleapis.com)

To use BigQuery DataFrames ML remote models(bigframes.ml.remote or bigframes.ml.llm), you must be granted the
following IAM roles:

* BigQuery Data Editor (roles/bigquery.dataEditor)
* BigQuery Connection Admin (roles/bigquery.connectionAdmin)
* Service Account User (roles/iam.serviceAccountUser) on the
`service account <https://cloud.google.com/functions/docs/reference/iam/roles#additional-configuration>`__
``PROJECT_NUMBER-compute@developer.gserviceaccount.com``
* Vertex AI User (roles/aiplatform.user)
* Project IAM Admin (roles/resourcemanager.projectIamAdmin)
* Project IAM Admin (roles/resourcemanager.projectIamAdmin) if using default
BigQuery connection, or Browser (roles/browser) if using a pre-created connection

**Limitations**

Expand Down
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