gcloud beta asset analyze-iam-policy-longrunning

gcloud beta asset analyze-iam-policy-longrunning - analyzes IAM policies that match a request asynchronously and writes the results to Google Cloud Storage or BigQuery destination

gcloud beta asset analyze-iam-policy-longrunning (--folder=FOLDER_ID     | --organization=ORGANIZATION_ID     | --project=PROJECT_ID) (--gcs-output-path=GCS_OUTPUT_PATH     | [--bigquery-dataset=BIGQUERY_DATASET --bigquery-table-prefix=BIGQUERY_TABLE_PREFIX : --bigquery-partition-key=BIGQUERY_PARTITION_KEY --bigquery-write-disposition=BIGQUERY_WRITE_DISPOSITION]) [--access-time=ACCESS_TIME] [--full-resource-name=FULL_RESOURCE_NAME] [--identity=IDENTITY] [--analyze-service-account-impersonation --expand-groups --expand-resources --expand-roles --output-group-edges --output-resource-edges] [--permissions=[PERMISSIONS,…] --roles=[ROLES,…]] [GCLOUD_WIDE_FLAG …]

gcloud beta asset analyze-iam-policy-longrunning --organization=YOUR_ORG_ID --full-resource-name=YOUR_SERVICE_ACCOUNT_FULL_RESOURCE_NAME --permissions='iam.serviceAccounts.actAs' --gcs-output-path='gs://YOUR_BUCKET_NAME/YOUR_OBJECT_NAME'

To find out which resources a user can access, and write analysis results to Google Cloud Storage, run:

gcloud beta asset analyze-iam-policy-longrunning --organization=YOUR_ORG_ID --identity='user:u1@foo.com' --gcs-output-path='gs://YOUR_BUCKET_NAME/YOUR_OBJECT_NAME'

To find out which roles or permissions a user has been granted on a project, and write analysis results to BigQuery, run:

gcloud beta asset analyze-iam-policy-longrunning --organization=YOUR_ORG_ID --full-resource-name=YOUR_PROJECT_FULL_RESOURCE_NAME --identity='user:u1@foo.com' --bigquery-dataset='projects/YOUR_PROJECT_ID/datasets/YOUR_DATASET_ID' --bigquery-table-prefix='YOUR_BIGQUERY_TABLE_PREFIX'

To find out which users have been granted the iam.serviceAccounts.actAs permission on any applicable resources, and write analysis results to BigQuery, run:

gcloud beta asset analyze-iam-policy-longrunning --organization=YOUR_ORG_ID --permissions='iam.serviceAccounts.actAs' --bigquery-dataset='projects/YOUR_PROJECT_ID/datasets/YOUR_DATASET_ID' --bigquery-table-prefix='YOUR_BIGQUERY_TABLE_PREFIX'

Exactly one of these must be specified:

--folder=FOLDER_ID

Folder ID on which to perform the analysis. Only policies defined at or below this folder will be targeted in the analysis.

--organization=ORGANIZATION_ID

Organization ID on which to perform the analysis. Only policies defined at or below this organization will be targeted in the analysis.

--project=PROJECT_ID

Project ID or number on which to perform the analysis. Only policies defined at or below this project will be targeted in the analysis.

The destination path for writing IAM policy analysis results.

Exactly one of these must be specified:

--gcs-output-path=GCS_OUTPUT_PATH

Google Cloud Storage URI where the results will be written. URI must start with "gs://". For example, "gs://bucket_name/object_name".

BigQuery destination where the results will go.

--bigquery-dataset=BIGQUERY_DATASET

BigQuery dataset where the results will be written. Must be a dataset relative name starting with "projects/". For example, "projects/project_id/datasets/dataset_id".

This flag argument must be specified if any of the other arguments in this group are specified.

--bigquery-table-prefix=BIGQUERY_TABLE_PREFIX

The prefix of the BigQuery tables to which the analysis results will be written. A table name consists of letters, numbers and underscores".

This flag argument must be specified if any of the other arguments in this group are specified.

--bigquery-partition-key=BIGQUERY_PARTITION_KEY

This enum determines the partition key column for the bigquery tables. Partitioning can improve query performance and reduce query cost by filtering partitions. Refer to https://cloud.google.com/bigquery/docs/partitioned-tables for details. BIGQUERY_PARTITION_KEY must be one of: PARTITION_KEY_UNSPECIFIED, REQUEST_TIME.

--bigquery-write-disposition=BIGQUERY_WRITE_DISPOSITION

Specifies the action that occurs if the destination table or partition already exists. The following values are supported: WRITE_TRUNCATE, WRITE_APPEND and WRITE_EMPTY. The default value is WRITE_APPEND.

The hypothetical context to evaluate IAM conditions.

--access-time=ACCESS_TIME

The hypothetical access timestamp to evaluate IAM conditions.

Specifies a resource for analysis. Leaving it empty means ANY.

--full-resource-name=FULL_RESOURCE_NAME

The full resource name.

Specifies an identity for analysis. Leaving it empty means ANY.

--identity=IDENTITY

The identity appearing in the form of principals in the IAM policy binding.

The analysis options.

--analyze-service-account-impersonation

If true, the response will include access analysis from identities to resources via service account impersonation. This is a very expensive operation, because many derived queries will be executed. We highly recommend you use AnalyzeIamPolicyLongrunning rpc instead. Default is false.

--expand-groups

If true, the identities section of the result will expand any Google groups appearing in an IAM policy binding. Default is false.

--expand-resources

If true, the resource section of the result will expand any resource attached to an IAM policy to include resources lower in the resource hierarchy. Default is false.

--expand-roles

If true, the access section of result will expand any roles appearing in IAM policy bindings to include their permissions. Default is false.

--output-group-edges

If true, the result will output the relevant membership relationships between groups. Default is false.

--output-resource-edges

If true, the result will output the relevant parent/child relationships between resources. Default is false.

Specifies roles or permissions for analysis. Leaving it empty means ANY.

--permissions=[PERMISSIONS,…]

The permissions to appear in the result.

--roles=[ROLES,…]

The roles to appear in the result.

Run $ gcloud help for details.