Page tree

Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
Comment: Published by Scroll Versions from space DEV and version r081

D toc

In the the

D s platform
Identity and Access Management (IAM) allows allows you to control user and group access to your project's resources. This section describes the IAM permissions relevant to 
D s product
productgdp
 and the IAM roles that grant those permissions. To access the IAM console, see https://cloud.google.com/iam.

  • A role is is a set of one or more permissions. A role is assigned to users and groups.
  • A permission grants grants access to a resource. Different permissions can grant different access levels to the same resource.

Tools for manage IAM policies:

  • Google Cloud Console
  • API
  • gcloud CLI

For more information, see https://cloud.google.com/iam/docs/granting-changing-revoking-access.

Required Roles and Their Permissions

To use 

D s product
productgdp
, the following roles are required. Below, you can review each required role, its purpose, and the permissions that are enabled by it.

RoleUsePermissions and roles
roles/dataprep.user

Enables a user to run

D s product
productgdp
in a project See below.

Permissions:

  • dataprep.projects.use
  • resourcemanager.projects.get
  • serviceusage.quotas.get
  • serviceusage.services.get
  • serviceusage.services.list
roles/dataprep.serviceAgent

Enables the platform to access and modify datasets and storage and to run and manage

D s dataflow
jobs on behalf of the user within the project

Info

NOTE: When the product is enabled within a project, this role is granted by the project owner as part of the enablement process. For more information, see Enable or Disable Dataprep.

Permissions:

  • storage.buckets.get
  • storage.buckets.list

Roles:

  • roles/dataflow.developer
  • roles/bigquery.user
  • roles/bigquery.dataEditor
  • roles/storage.objectAdmin
  • roles/iam.serviceAccountUser

roles/dataprep.user IAM Role

All users of any version of of

D s product
productgdp
 must must be assigned the the roles/dataprepdataprep.user IAM IAM Role.

Warning

This role and its related permissions enable access to all data in a project. Other permissions do not apply.

...

PermissionProduct Use
dataprep.projects.use

Allow a user to use

D s product

resourcemanager.projects.get

Get

D s product
project details

D s dataflow

Run Run

D s item
itemjobs
 on  on
D s dataflow
:

PermissionProduct Use
compute.machineTypes.get

List available machine types for

D s dataflow
jobs

dataflow.jobs.create

Create a

D s dataflow
job

dataflow.jobs.get

List

D s dataflow
jobs

dataflow.messages.list

Get

D s dataflow
job details

dataflow.metrics.get

Get

D s dataflow
job details

Connection Permissions

These permissions are required for connections that are common in 

D s product
.

D s storage

Read and write to to

D s storage
, the base storage for for
D s product
:

PermissionProduct UseRequirement
storage.buckets.list

List

D s storage
buckets in project

Required at project level
storage.buckets.getGet bucket metadataRequired for staging bucket only
storage.objects.createCreate filesRequired for staging bucket only
storage.objects.deleteDelete filesRequired for staging bucket only
storage.objects.getRead filesRequired for staging bucket only
storage.objects.listList filesRequired for staging bucket only

BigQuery

Read and write to BigQuery, including views and custom SQL:

PermissionProduct UseRequirement
bigquery.jobs.create

For Custom SQL query support and launching

D s dataflow
jobs with BigQuery data sources.

Required at project level to use BigQuery
bigquery.datasets.getList and get metadata about datasets in projectCan be applied at project level or at individual dataset level
bigquery.tables.createExecute custom queriesCan be applied at project level or at individual dataset level
bigquery.tables.getCreate tables in datasetCan be applied at project level or at individual dataset level
bigquery.tables.getGet table metadataCan be applied at project level or at individual dataset level
bigquery.tables.getDataget table contentsCan be applied at project level or at individual dataset level
bigquery.tables.listList tables in datasetCan be applied at project level or at individual dataset level

Feature Permissions

Additional permissions may be required to use specific features. Individual users may be required to permit 

D s product
 access when the feature is first used. 

...

PermissionProduct Use
bigquery.datasets.createCreate datasets in BigQuery
bigquery.datasets.updateUpdate datasets in BigQuery

The following permission is not required to publish to BigQuery.

...

Every 

D s product
 job requires the use of a service account through which the job is submitted to 
D s dataflow
 for execution. Each project user must have access to a service account. For more information, see Google Service Account Management.

Data access

In addition to the IAM roles above, users must also be granted the following to enable data access based on their Cloud IAM:

...