Dataproc IAM roles and permissions

Overview

Identity and Access Management (IAM) lets you control user and group access to project resources. This document focuses on the IAM permissions relevant to Dataproc and the IAM roles that grant those permissions.

Dataproc permissions

Security requirement beginning August 3, 2020: Dataproc users are required to have service account ActAs permission to deploy Dataproc resources, for example, to create clusters and instantiate workflows. See Roles for service account authentication for detailed information about service account permissions.

Opt-in for existing Dataproc users: Existing Dataproc users as of August 3, 2020 can opt in to this security requirement (see Securing Dataproc, Dataflow, and Cloud Data Fusion).

Dataproc permissions allow users, including service accounts, to perform actions on Dataproc clusters, jobs, operations, and workflow templates. For example, the dataproc.clusters.create permission allows a user to create Dataproc clusters in a project. Typically, you don't grant permissions; instead, you grant roles, which include one or more permissions.

The following tables list the permissions necessary to call Dataproc APIs (methods). The tables are organized according to the APIs associated with each Dataproc resource (clusters, jobs, operations, and workflow templates).

Permission Scope: The scope of Dataproc permissions listed in the following tables is the containing Google Cloud project (cloud-platform scope). See Service account permissions.

Examples:

• dataproc.clusters.create permits the creation of Dataproc clusters in the containing project
• dataproc.jobs.create permits the submission of Dataproc jobs to Dataproc clusters in the containing project
• dataproc.clusters.list permits the listing of details of Dataproc clusters in the containing project

Note: For successful Dataproc cluster operation, the Dataproc VM service account must have access the Dataproc staging and temp buckets. If you modify default VM service account IAM permissions or specify a custom VM service account for your cluster, you must grant the VM service account the storage.* IAM permissions included in the roles/dataproc.worker role. Also see IAM permissions for Cloud Storage and IAM roles for Cloud Storage.

Clusters methods required permissions

Method	Required permissions
projects.regions.clusters.create ^1, 2	dataproc.clusters.create
projects.regions.clusters.get	dataproc.clusters.get
projects.regions.clusters.list	dataproc.clusters.list
projects.regions.clusters.patch ^1, 2, 3	dataproc.clusters.update
projects.regions.clusters.delete ^1	dataproc.clusters.delete
projects.regions.clusters.start	dataproc.clusters.start
projects.regions.clusters.stop	dataproc.clusters.stop
projects.regions.clusters.getIamPolicy	dataproc.clusters.getIamPolicy
projects.regions.clusters.setIamPolicy	dataproc.clusters.setIamPolicy

Notes:

1. The dataproc.operations.get permission is also required to get status updates from Google Cloud CLI.
2. The dataproc.clusters.get permission is also required to get the result of the operation from Google Cloud CLI.
3. dataproc.autoscalingPolicies.use permission is also required to enable an autoscaling policy on a cluster.

Jobs methods required permissions

Method	Required permissions
projects.regions.jobs.submit ^1, 2	dataproc.jobs.create dataproc.clusters.use
projects.regions.jobs.get	dataproc.jobs.get
projects.regions.jobs.list	dataproc.jobs.list
projects.regions.jobs.cancel ^1	dataproc.jobs.cancel
projects.regions.jobs.patch ^1	dataproc.jobs.update
projects.regions.jobs.delete ^1	dataproc.jobs.delete
projects.regions.jobs.getIamPolicy	dataproc.jobs.getIamPolicy
projects.regions.jobs.setIamPolicy	dataproc.jobs.setIamPolicy

Notes:

1. The Google Cloud CLI also requires dataproc.jobs.get permission for the jobs submit, jobs wait, jobs update, jobs delete, and jobs kill commands.

2. The gcloud CLI also requires dataproc.clusters.get permission to submit jobs. For an example of setting the permissions necessary for a user to run gcloud dataproc jobs submit on a cluster using Dataproc Granular IAM (see Submitting Jobs with Granular IAM).

Operations methods required permissions

Method	Required permissions
projects.regions.operations.get	dataproc.operations.get
projects.regions.operations.list	dataproc.operations.list
projects.regions.operations.cancel	dataproc.operations.cancel
projects.regions.operations.delete	dataproc.operations.delete
projects.regions.operations.getIamPolicy	dataproc.operations.getIamPolicy
projects.regions.operations.setIamPolicy	dataproc.operations.setIamPolicy

Workflow templates methods required permissions

Method	Required permissions
projects.regions.workflowTemplates.instantiate	dataproc.workflowTemplates.instantiate
projects.regions.workflowTemplates.instantiateInline	dataproc.workflowTemplates.instantiateInline
projects.regions.workflowTemplates.create	dataproc.workflowTemplates.create
projects.regions.workflowTemplates.get	dataproc.workflowTemplates.get
projects.regions.workflowTemplates.list	dataproc.workflowTemplates.list
projects.regions.workflowTemplates.update	dataproc.workflowTemplates.update
projects.regions.workflowTemplates.delete	dataproc.workflowTemplates.delete
projects.regions.workflowTemplates.getIamPolicy	dataproc.workflowTemplates.getIamPolicy
projects.regions.workflowTemplates.setIamPolicy	dataproc.workflowTemplates.setIamPolicy

Notes:

1. Workflow Template permissions are independent of Cluster and Job permissions. A user without create cluster or submit job permissions may create and instantiate a Workflow Template.

2. The Google Cloud CLI additionally requires dataproc.operations.get permission to poll for workflow completion.

3. The dataproc.operations.cancel permission is required to cancel a running workflow.

Autoscaling policies methods required permissions

Method	Required permissions
projects.regions.autoscalingPolicies.create	dataproc.autoscalingPolicies.create
projects.regions.autoscalingPolicies.get	dataproc.autoscalingPolicies.get
projects.regions.autoscalingPolicies.list	dataproc.autoscalingPolicies.list
projects.regions.autoscalingPolicies.update	dataproc.autoscalingPolicies.update
projects.regions.autoscalingPolicies.delete	dataproc.autoscalingPolicies.delete
projects.regions.autoscalingPolicies.getIamPolicy	dataproc.autoscalingPolicies.getIamPolicy
projects.regions.autoscalingPolicies.setIamPolicy	dataproc.autoscalingPolicies.setIamPolicy

Notes:

1. dataproc.autoscalingPolicies.use permission is required to enable an autoscaling policy on a cluster with a clusters.patch method request.

Node groups methods required permissions

Method	Required permissions
projects.regions.nodeGroups.create	dataproc.nodeGroups.create
projects.regions.nodeGroups.get	dataproc.nodeGroups.get
projects.regions.nodeGroups.resize	dataproc.nodeGroups.update

Dataproc roles

Dataproc IAM roles are a bundle of one or more permissions. You grant roles to users or groups to allow them to perform actions on the Dataproc resources in a project. For example, the Dataproc Viewer role contain get and list permissions, which allow a user to get and list Dataproc clusters, jobs, and operations in a project.

The following table lists the Dataproc IAM roles and the permissions associated with each role.

Dataproc roles	Permissions
Dataproc Administrator (roles/dataproc.admin) Full control of Dataproc resources.	compute.machineTypes.* compute.networks.get compute.networks.list compute.projects.get compute.regions.* compute.zones.* dataproc.autoscalingPolicies.* dataproc.batches.analyze dataproc.batches.cancel dataproc.batches.create dataproc.batches.delete dataproc.batches.get dataproc.batches.list dataproc.batches.sparkApplicationRead dataproc.clusters.* dataproc.jobs.* dataproc.nodeGroups.* dataproc.operations.* dataproc.sessionTemplates.* dataproc.sessions.create dataproc.sessions.delete dataproc.sessions.get dataproc.sessions.list dataproc.sessions.sparkApplicationRead dataproc.sessions.terminate dataproc.workflowTemplates.* dataprocrm.nodePools.* dataprocrm.nodes.get dataprocrm.nodes.heartbeat dataprocrm.nodes.list dataprocrm.nodes.update dataprocrm.operations.get dataprocrm.operations.list dataprocrm.workloads.* resourcemanager.projects.get resourcemanager.projects.list
Dataproc Editor (roles/dataproc.editor) Provides the permissions necessary for viewing the resources required to manage Dataproc, including machine types, networks, projects, and zones. Lowest-level resources where you can grant this role: Cluster	compute.machineTypes.* compute.networks.get compute.networks.list compute.projects.get compute.regions.* compute.zones.* dataproc.autoscalingPolicies.create dataproc.autoscalingPolicies.delete dataproc.autoscalingPolicies.get dataproc.autoscalingPolicies.list dataproc.autoscalingPolicies.update dataproc.autoscalingPolicies.use dataproc.batches.analyze dataproc.batches.cancel dataproc.batches.create dataproc.batches.delete dataproc.batches.get dataproc.batches.list dataproc.batches.sparkApplicationRead dataproc.clusters.create dataproc.clusters.delete dataproc.clusters.get dataproc.clusters.list dataproc.clusters.start dataproc.clusters.stop dataproc.clusters.update dataproc.clusters.use dataproc.jobs.cancel dataproc.jobs.create dataproc.jobs.delete dataproc.jobs.get dataproc.jobs.list dataproc.jobs.update dataproc.nodeGroups.* dataproc.operations.cancel dataproc.operations.delete dataproc.operations.get dataproc.operations.list dataproc.sessionTemplates.* dataproc.sessions.create dataproc.sessions.delete dataproc.sessions.get dataproc.sessions.list dataproc.sessions.sparkApplicationRead dataproc.sessions.terminate dataproc.workflowTemplates.create dataproc.workflowTemplates.delete dataproc.workflowTemplates.get dataproc.workflowTemplates.instantiate dataproc.workflowTemplates.instantiateInline dataproc.workflowTemplates.list dataproc.workflowTemplates.update dataprocrm.nodePools.* dataprocrm.nodes.get dataprocrm.nodes.heartbeat dataprocrm.nodes.list dataprocrm.nodes.update dataprocrm.operations.get dataprocrm.operations.list dataprocrm.workloads.* resourcemanager.projects.get resourcemanager.projects.list
Dataproc Hub Agent (roles/dataproc.hubAgent) Allows management of Dataproc resources. Intended for service accounts running Dataproc Hub instances.	compute.instances.get compute.instances.setMetadata compute.instances.setTags compute.zoneOperations.get compute.zones.list dataproc.autoscalingPolicies.get dataproc.autoscalingPolicies.list dataproc.autoscalingPolicies.use dataproc.clusters.create dataproc.clusters.delete dataproc.clusters.get dataproc.clusters.list dataproc.clusters.update dataproc.operations.cancel dataproc.operations.delete dataproc.operations.get dataproc.operations.list iam.serviceAccounts.actAs iam.serviceAccounts.get iam.serviceAccounts.list logging.buckets.get logging.buckets.list logging.exclusions.get logging.exclusions.list logging.links.get logging.links.list logging.locations.* logging.logEntries.create logging.logEntries.list logging.logEntries.route logging.logMetrics.get logging.logMetrics.list logging.logScopes.get logging.logScopes.list logging.logServiceIndexes.list logging.logServices.list logging.logs.list logging.operations.get logging.operations.list logging.queries.getShared logging.queries.listShared logging.queries.usePrivate logging.sinks.get logging.sinks.list logging.usage.get logging.views.get logging.views.list observability.scopes.get resourcemanager.projects.get resourcemanager.projects.list storage.buckets.get storage.objects.get storage.objects.list
Dataproc serverless session user permissions (roles/dataproc.serverlessEditor) Permissions needed to run serverless sessions as a user	compute.projects.get compute.regions.* compute.zones.* dataproc.batches.analyze dataproc.batches.cancel dataproc.batches.create dataproc.batches.delete dataproc.batches.get dataproc.batches.list dataproc.operations.cancel dataproc.operations.delete dataproc.operations.get dataproc.operations.list dataproc.sessionTemplates.* dataproc.sessions.* dataprocrm.nodePools.* dataprocrm.nodes.get dataprocrm.nodes.heartbeat dataprocrm.nodes.list dataprocrm.nodes.update dataprocrm.operations.get dataprocrm.operations.list dataprocrm.workloads.* resourcemanager.projects.get resourcemanager.projects.list
Dataproc Serverless Node. (roles/dataproc.serverlessNode) Node access to Dataproc Serverless sessions. Intended for service accounts.	dataproc.sessions.sparkApplicationRead dataproc.sessions.sparkApplicationWrite dataprocrm.nodePools.*
Dataproc serverless session view permissions (roles/dataproc.serverlessViewer) Permissions needed to view serverless sessions	compute.projects.get compute.regions.* compute.zones.* dataproc.batches.get dataproc.batches.list dataproc.sessionTemplates.get dataproc.sessionTemplates.list dataproc.sessions.get dataproc.sessions.list resourcemanager.projects.get resourcemanager.projects.list
Dataproc Viewer (roles/dataproc.viewer) Provides read-only access to Dataproc resources. Lowest-level resources where you can grant this role: Cluster	compute.machineTypes.get compute.regions.* compute.zones.* dataproc.autoscalingPolicies.get dataproc.autoscalingPolicies.list dataproc.batches.analyze dataproc.batches.get dataproc.batches.list dataproc.batches.sparkApplicationRead dataproc.clusters.get dataproc.clusters.list dataproc.jobs.get dataproc.jobs.list dataproc.nodeGroups.get dataproc.operations.get dataproc.operations.list dataproc.sessionTemplates.get dataproc.sessionTemplates.list dataproc.sessions.get dataproc.sessions.list dataproc.sessions.sparkApplicationRead dataproc.workflowTemplates.get dataproc.workflowTemplates.list resourcemanager.projects.get resourcemanager.projects.list
Dataproc Worker (roles/dataproc.worker) Provides worker access to Dataproc resources. Intended for service accounts.	cloudprofiler.profiles.create cloudprofiler.profiles.update dataproc.agents.* dataproc.batches.sparkApplicationWrite dataproc.sessions.sparkApplicationWrite dataproc.tasks.* dataprocrm.nodes.mintOAuthToken logging.logEntries.create logging.logEntries.route monitoring.metricDescriptors.create monitoring.metricDescriptors.get monitoring.metricDescriptors.list monitoring.monitoredResourceDescriptors.* monitoring.timeSeries.create storage.buckets.get storage.folders.* storage.managedFolders.create storage.managedFolders.delete storage.managedFolders.get storage.managedFolders.list storage.multipartUploads.* storage.objects.*

Notes:

• compute permissions are needed or recommended to create and view Dataproc clusters when using the Google Cloud console or the gcloud CLI Google Cloud CLI.
• To allow a user to upload files, grant the Storage Object Creator role. To allow a user to view job output, grant the Storage Object Viewer role.
• A user must have monitoring.timeSeries.list permission in order to view graphs on the Google Cloud console→Dataproc→Cluster details Overview tab.
• A user must have compute.instances.list permission in order to view instance status and the master instance SSH menu on the Google Cloud console→Dataproc→Cluster details VM Instances tab. For information on Compute Engine roles, see Compute Engine→Available IAM roles).
• To create a cluster with a user-specified service account, the specified service account must have all permissions granted by the Dataproc Worker role, which include access to the Dataproc staging and temp buckets. Additional roles may be required depending on configured features. See Create a cluster with a custom VM service account for more information.

Project roles

You can also set permissions at the project level by using the IAM Project roles. The following table lists permissions associated with IAM Project roles:

Project Role	Permissions
Project Viewer	All project permissions for read-only actions that preserve state (get, list)
Project Editor	All Project Viewer permissions plus all project permissions for actions that modify state (create, delete, update, use, cancel, stop, start)
Project Owner	All Project Editor permissions plus permissions to manage access control for the project (get/set IamPolicy) and to set up project billing

IAM roles and Dataproc operations summary

The following table lists Dataproc operations associated with project and Dataproc roles.

Operation	Project Editor	Project Viewer	Dataproc Admin	Dataproc Editor	Dataproc Viewer
Get/Set Dataproc IAM permissions	No	No	Yes	No	No
Create cluster	Yes	No	Yes	Yes	No
List clusters	Yes	Yes	Yes	Yes	Yes
Get cluster details	Yes	Yes	Yes ^1, 2	Yes ^1, 2	Yes ^1, 2
Update cluster	Yes	No	Yes	Yes	No
Delete cluster	Yes	No	Yes	Yes	No
Start/Stop cluster	Yes	No	Yes	Yes	No
Submit job	Yes	No	Yes ^3	Yes ^3	No
List jobs	Yes	Yes	Yes	Yes	Yes
Get job details	Yes	Yes	Yes ^4	Yes ^4	Yes ^4
Cancel job	Yes	No	Yes	Yes	No
Delete job	Yes	No	Yes	Yes	No
List operations	Yes	Yes	Yes	Yes	Yes
Get operation details	Yes	Yes	Yes	Yes	Yes
Delete operation	Yes	No	Yes	Yes	No

Notes:

1. The performance graph is not available unless the user also has a role with the monitoring.timeSeries.list permission.
2. The list of VMs in the cluster will not include status information or an SSH link for the master instance unless the user also has a role with the compute.instances.list permission.
3. Jobs that upload files require the user to have the Storage Object Creator role or write access to the Dataproc staging bucket.
4. Job output is not available unless the user also has the Storage Object Viewer role or has been granted read access to the staging bucket for the project.

Service accounts

When you call Dataproc APIs to perform actions in a project, such as creating VM instances, Dataproc performs the actions on your behalf by using a service account that has the permissions required to perform the actions. For more information, see Dataproc service accounts.

IAM management

You can get and set IAM policies using the Google Cloud console, the IAM API, or the Google Cloud CLI.

• For the Google Cloud console, see Access control using the Google Cloud console.
• For the API, see Access control using the API.
• For the Google Cloud CLI, see Access control using the Google Cloud CLI.

What's next

• Learn about Dataproc principals and roles
• Learn about Dataproc Granular IAM
• Learn more about IAM.
• Learn about Service accounts in Dataproc