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Google: google_dataproc_cluster_iam | docs-google-dataproc-cluster-iam | Collection of resources to manage IAM policy for a Dataproc cluster. |
IAM policy for Dataproc cluster
Three different resources help you manage IAM policies on dataproc clusters. Each of these resources serves a different use case:
google_dataproc_cluster_iam_policy
: Authoritative. Sets the IAM policy for the cluster and replaces any existing policy already attached.google_dataproc_cluster_iam_binding
: Authoritative for a given role. Updates the IAM policy to grant a role to a list of members. Other roles within the IAM policy for the cluster are preserved.google_dataproc_cluster_iam_member
: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the cluster are preserved.
~> Note: google_dataproc_cluster_iam_policy
cannot be used in conjunction with google_dataproc_cluster_iam_binding
and google_dataproc_cluster_iam_member
or they will fight over what your policy should be. In addition, be careful not to accidentaly unset ownership of the cluster as google_dataproc_cluster_iam_policy
replaces the entire policy.
~> Note: google_dataproc_cluster_iam_binding
resources can be used in conjunction with google_dataproc_cluster_iam_member
resources only if they do not grant privilege to the same role.
google_pubsub_subscription_iam_policy
data "google_iam_policy" "admin" {
binding {
role = "roles/editor"
members = [
"user:jane@example.com",
]
}
}
resource "google_dataproc_cluster_iam_policy" "editor" {
project = "your-project"
region = "your-region"
cluster = "your-dataproc-cluster"
policy_data = "${data.google_iam_policy.admin.policy_data}"
}
google_pubsub_subscription_iam_binding
resource "google_dataproc_cluster_iam_binding" "editor" {
cluster = "your-dataproc-cluster"
role = "roles/editor"
members = [
"user:jane@example.com",
]
}
google_pubsub_subscription_iam_member
resource "google_dataproc_cluster_iam_member" "editor" {
cluster = "your-dataproc-cluster"
role = "roles/editor"
member = "user:jane@example.com"
}
Argument Reference
The following arguments are supported:
cluster
- (Required) The name or relative resource id of the cluster to manage IAM policies for.
For google_dataproc_cluster_iam_member
or google_dataproc_cluster_iam_binding
:
-
member/members
- (Required) Identities that will be granted the privilege inrole
. Each entry can have one of the following values:- allUsers: A special identifier that represents anyone who is on the internet; with or without a Google account.
- allAuthenticatedUsers: A special identifier that represents anyone who is authenticated with a Google account or a service account.
- user:{emailid}: An email address that represents a specific Google account. For example, alice@gmail.com or joe@example.com.
- serviceAccount:{emailid}: An email address that represents a service account. For example, my-other-app@appspot.gserviceaccount.com.
- group:{emailid}: An email address that represents a Google group. For example, admins@example.com.
- domain:{domain}: A G Suite domain (primary, instead of alias) name that represents all the users of that domain. For example, google.com or example.com.
-
role
- (Required) The role that should be applied. Only onegoogle_dataproc_cluster_iam_binding
can be used per role. Note that custom roles must be of the format[projects|organizations]/{parent-name}/roles/{role-name}
.
google_dataproc_cluster_iam_policy
only:
policy_data
- (Required) The policy data generated by agoogle_iam_policy
data source.
-
project
- (Optional) The project in which the cluster belongs. If it is not provided, Terraform will use the provider default. -
region
- (Optional) The region in which the cluster belongs. If it is not provided, Terraform will use the provider default.
Attributes Reference
In addition to the arguments listed above, the following computed attributes are exported:
etag
- (Computed) The etag of the clusters's IAM policy.
Import
Cluster IAM resources can be imported using the project, region, cluster name, role and/or member.
$ terraform import google_dataproc_cluster_iam_policy.editor "projects/{project}/regions/{region}/clusters/{cluster}"
$ terraform import google_dataproc_cluster_iam_binding.editor "projects/{project}/regions/{region}/clusters/{cluster} roles/editor"
$ terraform import google_dataproc_cluster_iam_member.editor "projects/{project}/regions/{region}/clusters/{cluster} roles/editor user:jane@example.com"