gcloud-help/gcloud/asset/analyze-iam-policy-longrunning

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

SYNOPSIS
    gcloud 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 ...]

DESCRIPTION
    Analyzes IAM policies that match a request asynchronously and writes the
    analysis results to Google Cloud Storage or BigQuery destination.

EXAMPLES
    To find out which users have been granted the iam.serviceAccounts.actAs
    permission on a service account, and write analysis results to Google Cloud
    Storage, run:

        $ gcloud 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 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 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_DATAS\
        ET_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 asset analyze-iam-policy-longrunning \
            --organization=YOUR_ORG_ID \
            --permissions='iam.serviceAccounts.actAs' \
            --bigquery-dataset='projects/YOUR_PROJECT_ID/datasets/YOUR_DATAS\
        ET_ID' --bigquery-table-prefix='YOUR_BIGQUERY_TABLE_PREFIX'

REQUIRED FLAGS
     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 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 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.

OPTIONAL FLAGS
     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.

GCLOUD WIDE FLAGS
    These flags are available to all commands: --access-token-file, --account,
    --billing-project, --configuration, --flags-file, --flatten, --format,
    --help, --impersonate-service-account, --log-http, --project, --quiet,
    --trace-token, --user-output-enabled, --verbosity.

    Run $ gcloud help for details.