Gets cluster diagnostic information. After the operation completes, the Operation.response field contains DiagnoseClusterOutputLocation.

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

Sets the access control policy on the specified resource. Replaces any existing policy.

Returns permissions that a caller has on the specified resource. If the resource does not exist, this will return an empty set of permissions, not a NOT_FOUND error.Note: This operation is designed to be used for building permission-aware UIs and command-line tools, not for authorization checking. This operation may "fail open" without warning.

Method Details

create(projectId, region, body, requestId=None, x__xgafv=None)

Creates a cluster in a project.

Args:
  projectId: string, Required. The ID of the Google Cloud Platform project that the cluster belongs to. (required)
  region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
  body: object, The request body. (required)
    The object takes the form of:

{ # Describes the identifying information, config, and status of a cluster of Compute Engine instances.
  "status": { # The status of a cluster and its instances. # Output only. Cluster status.
    "state": "A String", # Output only. The cluster's state.
    "stateStartTime": "A String", # Output only. Time when this state was entered.
    "detail": "A String", # Output only. Optional details of cluster's state.
    "substate": "A String", # Output only. Additional state information that includes status reported by the agent.
  },
  "clusterUuid": "A String", # Output only. A cluster UUID (Unique Universal Identifier). Cloud Dataproc generates this value when it creates the cluster.
  "clusterName": "A String", # Required. The cluster name. Cluster names within a project must be unique. Names of deleted clusters can be reused.
  "projectId": "A String", # Required. The Google Cloud Platform project ID that the cluster belongs to.
  "labels": { # Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.
    "a_key": "A String",
  },
  "metrics": { # Contains cluster daemon metrics, such as HDFS and YARN stats.Beta Feature: This report is available for testing purposes only. It may be changed before final release. # Output only. Contains cluster daemon metrics such as HDFS and YARN stats.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
    "yarnMetrics": { # The YARN metrics.
      "a_key": "A String",
    },
    "hdfsMetrics": { # The HDFS metrics.
      "a_key": "A String",
    },
  },
  "statusHistory": [ # Output only. The previous cluster status.
    { # The status of a cluster and its instances.
      "state": "A String", # Output only. The cluster's state.
      "stateStartTime": "A String", # Output only. Time when this state was entered.
      "detail": "A String", # Output only. Optional details of cluster's state.
      "substate": "A String", # Output only. Additional state information that includes status reported by the agent.
    },
  ],
  "config": { # The cluster config. # Required. The cluster config. Note that Cloud Dataproc may set default values, and values may change when clusters are updated.
    "lifecycleConfig": { # Specifies the cluster auto-delete schedule configuration. # Optional. The config setting for auto delete cluster schedule.
      "autoDeleteTime": "A String", # Optional. The time when cluster will be auto-deleted.
      "idleDeleteTtl": "A String", # Optional. The duration to keep the cluster alive while idling. Passing this threshold will cause the cluster to be deleted. Valid range: 10m, 14d.Example: "10m", the minimum value, to delete the cluster when it has had no jobs running for 10 minutes.
      "autoDeleteTtl": "A String", # Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Valid range: 10m, 14d.Example: "1d", to delete the cluster 1 day after its creation..
    },
    "softwareConfig": { # Specifies the selection and config of software inside the cluster. # Optional. The config settings for software inside the cluster.
      "imageVersion": "A String", # Optional. The version of software inside the cluster. It must be one of the supported Cloud Dataproc Versions, such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version. If unspecified, it defaults to the latest Debian version.
      "optionalComponents": [ # The set of optional components to activate on the cluster.
        "A String",
      ],
      "properties": { # Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings:
          # capacity-scheduler: capacity-scheduler.xml
          # core: core-site.xml
          # distcp: distcp-default.xml
          # hdfs: hdfs-site.xml
          # hive: hive-site.xml
          # mapred: mapred-site.xml
          # pig: pig.properties
          # spark: spark-defaults.conf
          # yarn: yarn-site.xmlFor more information, see Cluster properties.
        "a_key": "A String",
      },
    },
    "configBucket": "A String", # Optional. A Google Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Google Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Cloud Dataproc staging bucket).
    "gceClusterConfig": { # Common config settings for resources of Compute Engine cluster instances, applicable to all instances in the cluster. # Optional. The shared Compute Engine config settings for all instances in a cluster.
      "internalIpOnly": True or False, # Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
      "reservationAffinity": { # Reservation Affinity for consuming Zonal reservation. # Optional. Reservation Affinity for consuming Zonal reservation.
        "values": [ # Optional. Corresponds to the label values of reservation resource.
          "A String",
        ],
        "consumeReservationType": "A String", # Optional. Type of reservation to consume
        "key": "A String", # Optional. Corresponds to the label key of reservation resource.
      },
      "networkUri": "A String", # Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks for more information).A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default
          # projects/[project_id]/regions/global/default
          # default
      "tags": [ # The Compute Engine tags to add to all instances (see Tagging instances).
        "A String",
      ],
      "serviceAccount": "A String", # Optional. The service account of the instances. Defaults to the default Compute Engine service account. Custom service accounts need permissions equivalent to the following IAM roles:
          # roles/logging.logWriter
          # roles/storage.objectAdmin(see https://cloud.google.com/compute/docs/access/service-accounts#custom_service_accounts for more information). Example: [account_id]@[project_id].iam.gserviceaccount.com
      "zoneUri": "A String", # Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Cloud Dataproc region, the service will pick a zone in the corresponding Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]
          # projects/[project_id]/zones/[zone]
          # us-central1-f
      "subnetworkUri": "A String", # Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0
          # projects/[project_id]/regions/us-east1/subnetworks/sub0
          # sub0
      "serviceAccountScopes": [ # Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included:
          # https://www.googleapis.com/auth/cloud.useraccounts.readonly
          # https://www.googleapis.com/auth/devstorage.read_write
          # https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided:
          # https://www.googleapis.com/auth/bigquery
          # https://www.googleapis.com/auth/bigtable.admin.table
          # https://www.googleapis.com/auth/bigtable.data
          # https://www.googleapis.com/auth/devstorage.full_control
        "A String",
      ],
      "metadata": { # The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
        "a_key": "A String",
      },
    },
    "autoscalingConfig": { # Autoscaling Policy config associated with the cluster. # Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
      "policyUri": "A String", # Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]
          # projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Cloud Dataproc region.
    },
    "endpointConfig": { # Endpoint config for this cluster # Optional. Port/endpoint configuration for this cluster
      "httpPorts": { # Output only. The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
        "a_key": "A String",
      },
      "enableHttpPortAccess": True or False, # Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
    },
    "workerConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for worker instances in a cluster.
      "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
      "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
      "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
        "A String",
      ],
      "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
      "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
        { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
          "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
          "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
        },
      ],
      "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
        "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
        "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
      },
      "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
      "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
        "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
        "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
        "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
      },
      "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
    },
    "initializationActions": [ # Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget):
        # ROLE=$(curl -H Metadata-Flavor:Google
        # http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role)
        # if [[ "${ROLE}" == 'Master' ]]; then
        #   ... master specific actions ...
        # else
        #   ... worker specific actions ...
        # fi
      { # Specifies an executable to run on a fully configured node and a timeout period for executable completion.
        "executionTimeout": "A String", # Optional. Amount of time executable has to complete. Default is 10 minutes. Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
        "executableFile": "A String", # Required. Cloud Storage URI of executable file.
      },
    ],
    "encryptionConfig": { # Encryption settings for the cluster. # Optional. Encryption settings for the cluster.
      "gcePdKmsKeyName": "A String", # Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
    },
    "secondaryWorkerConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for additional worker instances in a cluster.
      "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
      "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
      "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
        "A String",
      ],
      "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
      "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
        { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
          "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
          "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
        },
      ],
      "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
        "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
        "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
      },
      "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
      "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
        "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
        "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
        "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
      },
      "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
    },
    "masterConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for the master instance in a cluster.
      "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
      "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
      "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
        "A String",
      ],
      "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
      "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
        { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
          "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
          "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
        },
      ],
      "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
        "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
        "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
      },
      "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
      "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
        "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
        "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
        "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
      },
      "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
    },
    "securityConfig": { # Security related configuration, including encryption, Kerberos, etc. # Optional. Security related configuration.
      "kerberosConfig": { # Specifies Kerberos related configuration. # Kerberos related configuration.
        "truststorePasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
        "crossRealmTrustRealm": "A String", # Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
        "keyPasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
        "enableKerberos": True or False, # Optional. Flag to indicate whether to Kerberize the cluster.
        "tgtLifetimeHours": 42, # Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
        "crossRealmTrustKdc": "A String", # Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
        "rootPrincipalPasswordUri": "A String", # Required. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
        "keystorePasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
        "crossRealmTrustSharedPasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
        "crossRealmTrustAdminServer": "A String", # Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
        "truststoreUri": "A String", # Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
        "kmsKeyUri": "A String", # Required. The uri of the KMS key used to encrypt various sensitive files.
        "kdcDbKeyUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
        "keystoreUri": "A String", # Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
      },
    },
  },
}

  requestId: string, Optional. A unique id used to identify the request. If the server receives two CreateClusterRequest requests with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.It is recommended to always set this value to a UUID (https://en.wikipedia.org/wiki/Universally_unique_identifier).The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
    "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
      "a_key": "", # Properties of the object. Contains field @type with type URL.
    },
    "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
      "a_key": "", # Properties of the object. Contains field @type with type URL.
    },
    "done": True or False, # If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    "error": { # The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC (https://github.com/grpc). Each Status message contains three pieces of data: error code, error message, and error details.You can find out more about this error model and how to work with it in the API Design Guide (https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
      "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
      "code": 42, # The status code, which should be an enum value of google.rpc.Code.
      "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
        {
          "a_key": "", # Properties of the object. Contains field @type with type URL.
        },
      ],
    },
  }

delete(projectId, region, clusterName, clusterUuid=None, requestId=None, x__xgafv=None)

Deletes a cluster in a project.

Args:
projectId: string, Required. The ID of the Google Cloud Platform project that the cluster belongs to. (required)
region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
clusterName: string, Required. The cluster name. (required)
clusterUuid: string, Optional. Specifying the cluster_uuid means the RPC should fail (with error NOT_FOUND) if cluster with specified UUID does not exist.
requestId: string, Optional. A unique id used to identify the request. If the server receives two DeleteClusterRequest requests with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.It is recommended to always set this value to a UUID (https://en.wikipedia.org/wiki/Universally_unique_identifier).The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.
x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

{ # This resource represents a long-running operation that is the result of a network API call.
"response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
"metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
"done": True or False, # If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
"name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
"error": { # The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC (https://github.com/grpc). Each Status message contains three pieces of data: error code, error message, and error details.You can find out more about this error model and how to work with it in the API Design Guide (https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
"message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
"code": 42, # The status code, which should be an enum value of google.rpc.Code.
"details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
{
"a_key": "", # Properties of the object. Contains field @type with type URL.
},
],
},
}

diagnose(projectId, region, clusterName, body=None, x__xgafv=None)

Gets cluster diagnostic information. After the operation completes, the Operation.response field contains DiagnoseClusterOutputLocation.

{ # A request to collect cluster diagnostic information.
}

x__xgafv: string, V1 error format.
Allowed values
1 - v1 error format
2 - v2 error format

Returns:
An object of the form:

get(projectId, region, clusterName, x__xgafv=None)

Gets the resource representation for a cluster in a project.

Args:
  projectId: string, Required. The ID of the Google Cloud Platform project that the cluster belongs to. (required)
  region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
  clusterName: string, Required. The cluster name. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Describes the identifying information, config, and status of a cluster of Compute Engine instances.
    "status": { # The status of a cluster and its instances. # Output only. Cluster status.
      "state": "A String", # Output only. The cluster's state.
      "stateStartTime": "A String", # Output only. Time when this state was entered.
      "detail": "A String", # Output only. Optional details of cluster's state.
      "substate": "A String", # Output only. Additional state information that includes status reported by the agent.
    },
    "clusterUuid": "A String", # Output only. A cluster UUID (Unique Universal Identifier). Cloud Dataproc generates this value when it creates the cluster.
    "clusterName": "A String", # Required. The cluster name. Cluster names within a project must be unique. Names of deleted clusters can be reused.
    "projectId": "A String", # Required. The Google Cloud Platform project ID that the cluster belongs to.
    "labels": { # Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.
      "a_key": "A String",
    },
    "metrics": { # Contains cluster daemon metrics, such as HDFS and YARN stats.Beta Feature: This report is available for testing purposes only. It may be changed before final release. # Output only. Contains cluster daemon metrics such as HDFS and YARN stats.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
      "yarnMetrics": { # The YARN metrics.
        "a_key": "A String",
      },
      "hdfsMetrics": { # The HDFS metrics.
        "a_key": "A String",
      },
    },
    "statusHistory": [ # Output only. The previous cluster status.
      { # The status of a cluster and its instances.
        "state": "A String", # Output only. The cluster's state.
        "stateStartTime": "A String", # Output only. Time when this state was entered.
        "detail": "A String", # Output only. Optional details of cluster's state.
        "substate": "A String", # Output only. Additional state information that includes status reported by the agent.
      },
    ],
    "config": { # The cluster config. # Required. The cluster config. Note that Cloud Dataproc may set default values, and values may change when clusters are updated.
      "lifecycleConfig": { # Specifies the cluster auto-delete schedule configuration. # Optional. The config setting for auto delete cluster schedule.
        "autoDeleteTime": "A String", # Optional. The time when cluster will be auto-deleted.
        "idleDeleteTtl": "A String", # Optional. The duration to keep the cluster alive while idling. Passing this threshold will cause the cluster to be deleted. Valid range: 10m, 14d.Example: "10m", the minimum value, to delete the cluster when it has had no jobs running for 10 minutes.
        "autoDeleteTtl": "A String", # Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Valid range: 10m, 14d.Example: "1d", to delete the cluster 1 day after its creation..
      },
      "softwareConfig": { # Specifies the selection and config of software inside the cluster. # Optional. The config settings for software inside the cluster.
        "imageVersion": "A String", # Optional. The version of software inside the cluster. It must be one of the supported Cloud Dataproc Versions, such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version. If unspecified, it defaults to the latest Debian version.
        "optionalComponents": [ # The set of optional components to activate on the cluster.
          "A String",
        ],
        "properties": { # Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings:
            # capacity-scheduler: capacity-scheduler.xml
            # core: core-site.xml
            # distcp: distcp-default.xml
            # hdfs: hdfs-site.xml
            # hive: hive-site.xml
            # mapred: mapred-site.xml
            # pig: pig.properties
            # spark: spark-defaults.conf
            # yarn: yarn-site.xmlFor more information, see Cluster properties.
          "a_key": "A String",
        },
      },
      "configBucket": "A String", # Optional. A Google Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Google Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Cloud Dataproc staging bucket).
      "gceClusterConfig": { # Common config settings for resources of Compute Engine cluster instances, applicable to all instances in the cluster. # Optional. The shared Compute Engine config settings for all instances in a cluster.
        "internalIpOnly": True or False, # Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
        "reservationAffinity": { # Reservation Affinity for consuming Zonal reservation. # Optional. Reservation Affinity for consuming Zonal reservation.
          "values": [ # Optional. Corresponds to the label values of reservation resource.
            "A String",
          ],
          "consumeReservationType": "A String", # Optional. Type of reservation to consume
          "key": "A String", # Optional. Corresponds to the label key of reservation resource.
        },
        "networkUri": "A String", # Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks for more information).A full URL, partial URI, or short name are valid. Examples:
            # https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default
            # projects/[project_id]/regions/global/default
            # default
        "tags": [ # The Compute Engine tags to add to all instances (see Tagging instances).
          "A String",
        ],
        "serviceAccount": "A String", # Optional. The service account of the instances. Defaults to the default Compute Engine service account. Custom service accounts need permissions equivalent to the following IAM roles:
            # roles/logging.logWriter
            # roles/storage.objectAdmin(see https://cloud.google.com/compute/docs/access/service-accounts#custom_service_accounts for more information). Example: [account_id]@[project_id].iam.gserviceaccount.com
        "zoneUri": "A String", # Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Cloud Dataproc region, the service will pick a zone in the corresponding Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples:
            # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]
            # projects/[project_id]/zones/[zone]
            # us-central1-f
        "subnetworkUri": "A String", # Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples:
            # https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0
            # projects/[project_id]/regions/us-east1/subnetworks/sub0
            # sub0
        "serviceAccountScopes": [ # Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included:
            # https://www.googleapis.com/auth/cloud.useraccounts.readonly
            # https://www.googleapis.com/auth/devstorage.read_write
            # https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided:
            # https://www.googleapis.com/auth/bigquery
            # https://www.googleapis.com/auth/bigtable.admin.table
            # https://www.googleapis.com/auth/bigtable.data
            # https://www.googleapis.com/auth/devstorage.full_control
          "A String",
        ],
        "metadata": { # The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
          "a_key": "A String",
        },
      },
      "autoscalingConfig": { # Autoscaling Policy config associated with the cluster. # Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
        "policyUri": "A String", # Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples:
            # https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]
            # projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Cloud Dataproc region.
      },
      "endpointConfig": { # Endpoint config for this cluster # Optional. Port/endpoint configuration for this cluster
        "httpPorts": { # Output only. The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
          "a_key": "A String",
        },
        "enableHttpPortAccess": True or False, # Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
      },
      "workerConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for worker instances in a cluster.
        "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
        "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
            # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
            # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
            # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
        "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
          "A String",
        ],
        "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
        "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
          { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
            "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
            "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
          },
        ],
        "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
          "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
          "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
        },
        "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
        "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
          "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
          "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
          "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
        },
        "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
      },
      "initializationActions": [ # Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget):
          # ROLE=$(curl -H Metadata-Flavor:Google
          # http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role)
          # if [[ "${ROLE}" == 'Master' ]]; then
          #   ... master specific actions ...
          # else
          #   ... worker specific actions ...
          # fi
        { # Specifies an executable to run on a fully configured node and a timeout period for executable completion.
          "executionTimeout": "A String", # Optional. Amount of time executable has to complete. Default is 10 minutes. Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
          "executableFile": "A String", # Required. Cloud Storage URI of executable file.
        },
      ],
      "encryptionConfig": { # Encryption settings for the cluster. # Optional. Encryption settings for the cluster.
        "gcePdKmsKeyName": "A String", # Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
      },
      "secondaryWorkerConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for additional worker instances in a cluster.
        "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
        "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
            # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
            # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
            # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
        "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
          "A String",
        ],
        "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
        "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
          { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
            "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
            "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
          },
        ],
        "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
          "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
          "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
        },
        "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
        "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
          "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
          "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
          "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
        },
        "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
      },
      "masterConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for the master instance in a cluster.
        "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
        "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
            # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
            # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
            # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
        "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
          "A String",
        ],
        "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
        "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
          { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
            "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
            "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
          },
        ],
        "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
          "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
          "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
        },
        "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
        "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
          "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
          "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
          "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
        },
        "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
      },
      "securityConfig": { # Security related configuration, including encryption, Kerberos, etc. # Optional. Security related configuration.
        "kerberosConfig": { # Specifies Kerberos related configuration. # Kerberos related configuration.
          "truststorePasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
          "crossRealmTrustRealm": "A String", # Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
          "keyPasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
          "enableKerberos": True or False, # Optional. Flag to indicate whether to Kerberize the cluster.
          "tgtLifetimeHours": 42, # Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
          "crossRealmTrustKdc": "A String", # Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
          "rootPrincipalPasswordUri": "A String", # Required. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
          "keystorePasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
          "crossRealmTrustSharedPasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
          "crossRealmTrustAdminServer": "A String", # Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
          "truststoreUri": "A String", # Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
          "kmsKeyUri": "A String", # Required. The uri of the KMS key used to encrypt various sensitive files.
          "kdcDbKeyUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
          "keystoreUri": "A String", # Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
        },
      },
    },
  }

getIamPolicy(resource, x__xgafv=None)

Gets the access control policy for a resource. Returns an empty policy if the resource exists and does not have a policy set.

Args:
  resource: string, REQUIRED: The resource for which the policy is being requested. See the operation documentation for the appropriate value for this field. (required)
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources.A Policy consists of a list of bindings. A binding binds a list of members to a role, where the members can be user accounts, Google groups, Google domains, and service accounts. A role is a named list of permissions defined by IAM.JSON Example
      # {
      #   "bindings": [
      #     {
      #       "role": "roles/owner",
      #       "members": [
      #         "user:mike@example.com",
      #         "group:admins@example.com",
      #         "domain:google.com",
      #         "serviceAccount:my-other-app@appspot.gserviceaccount.com"
      #       ]
      #     },
      #     {
      #       "role": "roles/viewer",
      #       "members": ["user:sean@example.com"]
      #     }
      #   ]
      # }
      # YAML Example
      # bindings:
      # - members:
      #   - user:mike@example.com
      #   - group:admins@example.com
      #   - domain:google.com
      #   - serviceAccount:my-other-app@appspot.gserviceaccount.com
      #   role: roles/owner
      # - members:
      #   - user:sean@example.com
      #   role: roles/viewer
      # For a description of IAM and its features, see the IAM developer's guide (https://cloud.google.com/iam/docs).
    "bindings": [ # Associates a list of members to a role. bindings with no members will result in an error.
      { # Associates members with a role.
        "role": "A String", # Role that is assigned to members. For example, roles/viewer, roles/editor, or roles/owner.
        "members": [ # Specifies the identities requesting access for a Cloud Platform resource. members can have 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 .
            # 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}: The G Suite domain (primary) that represents all the  users of that domain. For example, google.com or example.com.
          "A String",
        ],
        "condition": { # Represents an expression text. Example: # The condition that is associated with this binding. NOTE: An unsatisfied condition will not allow user access via current binding. Different bindings, including their conditions, are examined independently.
            # title: "User account presence"
            # description: "Determines whether the request has a user account"
            # expression: "size(request.user) > 0"
          "location": "A String", # An optional string indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
          "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.The application context of the containing message determines which well-known feature set of CEL is supported.
          "description": "A String", # An optional description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
          "title": "A String", # An optional title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
        },
      },
    ],
    "etag": "A String", # etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the etag in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An etag is returned in the response to getIamPolicy, and systems are expected to put that etag in the request to setIamPolicy to ensure that their change will be applied to the same version of the policy.If no etag is provided in the call to setIamPolicy, then the existing policy is overwritten blindly.
    "version": 42, # Deprecated.
  }

list(projectId, region, pageSize=None, pageToken=None, x__xgafv=None, filter=None)

Lists all regions/{region}/clusters in a project.

Args:
  projectId: string, Required. The ID of the Google Cloud Platform project that the cluster belongs to. (required)
  region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
  pageSize: integer, Optional. The standard List page size.
  pageToken: string, Optional. The standard List page token.
  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format
  filter: string, Optional. A filter constraining the clusters to list. Filters are case-sensitive and have the following syntax:field = value AND field = value ...where field is one of status.state, clusterName, or labels.[KEY], and [KEY] is a label key. value can be * to match all values. status.state can be one of the following: ACTIVE, INACTIVE, CREATING, RUNNING, ERROR, DELETING, or UPDATING. ACTIVE contains the CREATING, UPDATING, and RUNNING states. INACTIVE contains the DELETING and ERROR states. clusterName is the name of the cluster provided at creation time. Only the logical AND operator is supported; space-separated items are treated as having an implicit AND operator.Example filter:status.state = ACTIVE AND clusterName = mycluster AND labels.env = staging AND labels.starred = *

Returns:
  An object of the form:

    { # The list of all clusters in a project.
    "nextPageToken": "A String", # Output only. This token is included in the response if there are more results to fetch. To fetch additional results, provide this value as the page_token in a subsequent ListClustersRequest.
    "clusters": [ # Output only. The clusters in the project.
      { # Describes the identifying information, config, and status of a cluster of Compute Engine instances.
        "status": { # The status of a cluster and its instances. # Output only. Cluster status.
          "state": "A String", # Output only. The cluster's state.
          "stateStartTime": "A String", # Output only. Time when this state was entered.
          "detail": "A String", # Output only. Optional details of cluster's state.
          "substate": "A String", # Output only. Additional state information that includes status reported by the agent.
        },
        "clusterUuid": "A String", # Output only. A cluster UUID (Unique Universal Identifier). Cloud Dataproc generates this value when it creates the cluster.
        "clusterName": "A String", # Required. The cluster name. Cluster names within a project must be unique. Names of deleted clusters can be reused.
        "projectId": "A String", # Required. The Google Cloud Platform project ID that the cluster belongs to.
        "labels": { # Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.
          "a_key": "A String",
        },
        "metrics": { # Contains cluster daemon metrics, such as HDFS and YARN stats.Beta Feature: This report is available for testing purposes only. It may be changed before final release. # Output only. Contains cluster daemon metrics such as HDFS and YARN stats.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
          "yarnMetrics": { # The YARN metrics.
            "a_key": "A String",
          },
          "hdfsMetrics": { # The HDFS metrics.
            "a_key": "A String",
          },
        },
        "statusHistory": [ # Output only. The previous cluster status.
          { # The status of a cluster and its instances.
            "state": "A String", # Output only. The cluster's state.
            "stateStartTime": "A String", # Output only. Time when this state was entered.
            "detail": "A String", # Output only. Optional details of cluster's state.
            "substate": "A String", # Output only. Additional state information that includes status reported by the agent.
          },
        ],
        "config": { # The cluster config. # Required. The cluster config. Note that Cloud Dataproc may set default values, and values may change when clusters are updated.
          "lifecycleConfig": { # Specifies the cluster auto-delete schedule configuration. # Optional. The config setting for auto delete cluster schedule.
            "autoDeleteTime": "A String", # Optional. The time when cluster will be auto-deleted.
            "idleDeleteTtl": "A String", # Optional. The duration to keep the cluster alive while idling. Passing this threshold will cause the cluster to be deleted. Valid range: 10m, 14d.Example: "10m", the minimum value, to delete the cluster when it has had no jobs running for 10 minutes.
            "autoDeleteTtl": "A String", # Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Valid range: 10m, 14d.Example: "1d", to delete the cluster 1 day after its creation..
          },
          "softwareConfig": { # Specifies the selection and config of software inside the cluster. # Optional. The config settings for software inside the cluster.
            "imageVersion": "A String", # Optional. The version of software inside the cluster. It must be one of the supported Cloud Dataproc Versions, such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version. If unspecified, it defaults to the latest Debian version.
            "optionalComponents": [ # The set of optional components to activate on the cluster.
              "A String",
            ],
            "properties": { # Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings:
                # capacity-scheduler: capacity-scheduler.xml
                # core: core-site.xml
                # distcp: distcp-default.xml
                # hdfs: hdfs-site.xml
                # hive: hive-site.xml
                # mapred: mapred-site.xml
                # pig: pig.properties
                # spark: spark-defaults.conf
                # yarn: yarn-site.xmlFor more information, see Cluster properties.
              "a_key": "A String",
            },
          },
          "configBucket": "A String", # Optional. A Google Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Google Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Cloud Dataproc staging bucket).
          "gceClusterConfig": { # Common config settings for resources of Compute Engine cluster instances, applicable to all instances in the cluster. # Optional. The shared Compute Engine config settings for all instances in a cluster.
            "internalIpOnly": True or False, # Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
            "reservationAffinity": { # Reservation Affinity for consuming Zonal reservation. # Optional. Reservation Affinity for consuming Zonal reservation.
              "values": [ # Optional. Corresponds to the label values of reservation resource.
                "A String",
              ],
              "consumeReservationType": "A String", # Optional. Type of reservation to consume
              "key": "A String", # Optional. Corresponds to the label key of reservation resource.
            },
            "networkUri": "A String", # Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks for more information).A full URL, partial URI, or short name are valid. Examples:
                # https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default
                # projects/[project_id]/regions/global/default
                # default
            "tags": [ # The Compute Engine tags to add to all instances (see Tagging instances).
              "A String",
            ],
            "serviceAccount": "A String", # Optional. The service account of the instances. Defaults to the default Compute Engine service account. Custom service accounts need permissions equivalent to the following IAM roles:
                # roles/logging.logWriter
                # roles/storage.objectAdmin(see https://cloud.google.com/compute/docs/access/service-accounts#custom_service_accounts for more information). Example: [account_id]@[project_id].iam.gserviceaccount.com
            "zoneUri": "A String", # Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Cloud Dataproc region, the service will pick a zone in the corresponding Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples:
                # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]
                # projects/[project_id]/zones/[zone]
                # us-central1-f
            "subnetworkUri": "A String", # Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples:
                # https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0
                # projects/[project_id]/regions/us-east1/subnetworks/sub0
                # sub0
            "serviceAccountScopes": [ # Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included:
                # https://www.googleapis.com/auth/cloud.useraccounts.readonly
                # https://www.googleapis.com/auth/devstorage.read_write
                # https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided:
                # https://www.googleapis.com/auth/bigquery
                # https://www.googleapis.com/auth/bigtable.admin.table
                # https://www.googleapis.com/auth/bigtable.data
                # https://www.googleapis.com/auth/devstorage.full_control
              "A String",
            ],
            "metadata": { # The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
              "a_key": "A String",
            },
          },
          "autoscalingConfig": { # Autoscaling Policy config associated with the cluster. # Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
            "policyUri": "A String", # Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples:
                # https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]
                # projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Cloud Dataproc region.
          },
          "endpointConfig": { # Endpoint config for this cluster # Optional. Port/endpoint configuration for this cluster
            "httpPorts": { # Output only. The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
              "a_key": "A String",
            },
            "enableHttpPortAccess": True or False, # Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
          },
          "workerConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for worker instances in a cluster.
            "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
            "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
                # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
                # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
                # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
            "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
              "A String",
            ],
            "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
            "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
              { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
                "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
                "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
              },
            ],
            "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
              "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
              "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
            },
            "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
            "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
              "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
              "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
              "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
            },
            "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
          },
          "initializationActions": [ # Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget):
              # ROLE=$(curl -H Metadata-Flavor:Google
              # http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role)
              # if [[ "${ROLE}" == 'Master' ]]; then
              #   ... master specific actions ...
              # else
              #   ... worker specific actions ...
              # fi
            { # Specifies an executable to run on a fully configured node and a timeout period for executable completion.
              "executionTimeout": "A String", # Optional. Amount of time executable has to complete. Default is 10 minutes. Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
              "executableFile": "A String", # Required. Cloud Storage URI of executable file.
            },
          ],
          "encryptionConfig": { # Encryption settings for the cluster. # Optional. Encryption settings for the cluster.
            "gcePdKmsKeyName": "A String", # Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
          },
          "secondaryWorkerConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for additional worker instances in a cluster.
            "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
            "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
                # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
                # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
                # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
            "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
              "A String",
            ],
            "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
            "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
              { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
                "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
                "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
              },
            ],
            "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
              "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
              "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
            },
            "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
            "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
              "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
              "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
              "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
            },
            "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
          },
          "masterConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for the master instance in a cluster.
            "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
            "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
                # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
                # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
                # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
            "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
              "A String",
            ],
            "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
            "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
              { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
                "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
                "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
              },
            ],
            "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
              "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
              "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
            },
            "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
            "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
              "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
              "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
              "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
            },
            "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
          },
          "securityConfig": { # Security related configuration, including encryption, Kerberos, etc. # Optional. Security related configuration.
            "kerberosConfig": { # Specifies Kerberos related configuration. # Kerberos related configuration.
              "truststorePasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
              "crossRealmTrustRealm": "A String", # Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
              "keyPasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
              "enableKerberos": True or False, # Optional. Flag to indicate whether to Kerberize the cluster.
              "tgtLifetimeHours": 42, # Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
              "crossRealmTrustKdc": "A String", # Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
              "rootPrincipalPasswordUri": "A String", # Required. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
              "keystorePasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
              "crossRealmTrustSharedPasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
              "crossRealmTrustAdminServer": "A String", # Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
              "truststoreUri": "A String", # Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
              "kmsKeyUri": "A String", # Required. The uri of the KMS key used to encrypt various sensitive files.
              "kdcDbKeyUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
              "keystoreUri": "A String", # Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
            },
          },
        },
      },
    ],
  }

list_next(previous_request, previous_response)

Retrieves the next page of results.

Args:
  previous_request: The request for the previous page. (required)
  previous_response: The response from the request for the previous page. (required)

Returns:
  A request object that you can call 'execute()' on to request the next
  page. Returns None if there are no more items in the collection.

patch(projectId, region, clusterName, body, x__xgafv=None, gracefulDecommissionTimeout=None, requestId=None, updateMask=None)

Updates a cluster in a project.

Args:
  projectId: string, Required. The ID of the Google Cloud Platform project the cluster belongs to. (required)
  region: string, Required. The Cloud Dataproc region in which to handle the request. (required)
  clusterName: string, Required. The cluster name. (required)
  body: object, The request body. (required)
    The object takes the form of:

{ # Describes the identifying information, config, and status of a cluster of Compute Engine instances.
  "status": { # The status of a cluster and its instances. # Output only. Cluster status.
    "state": "A String", # Output only. The cluster's state.
    "stateStartTime": "A String", # Output only. Time when this state was entered.
    "detail": "A String", # Output only. Optional details of cluster's state.
    "substate": "A String", # Output only. Additional state information that includes status reported by the agent.
  },
  "clusterUuid": "A String", # Output only. A cluster UUID (Unique Universal Identifier). Cloud Dataproc generates this value when it creates the cluster.
  "clusterName": "A String", # Required. The cluster name. Cluster names within a project must be unique. Names of deleted clusters can be reused.
  "projectId": "A String", # Required. The Google Cloud Platform project ID that the cluster belongs to.
  "labels": { # Optional. The labels to associate with this cluster. Label keys must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). Label values may be empty, but, if present, must contain 1 to 63 characters, and must conform to RFC 1035 (https://www.ietf.org/rfc/rfc1035.txt). No more than 32 labels can be associated with a cluster.
    "a_key": "A String",
  },
  "metrics": { # Contains cluster daemon metrics, such as HDFS and YARN stats.Beta Feature: This report is available for testing purposes only. It may be changed before final release. # Output only. Contains cluster daemon metrics such as HDFS and YARN stats.Beta Feature: This report is available for testing purposes only. It may be changed before final release.
    "yarnMetrics": { # The YARN metrics.
      "a_key": "A String",
    },
    "hdfsMetrics": { # The HDFS metrics.
      "a_key": "A String",
    },
  },
  "statusHistory": [ # Output only. The previous cluster status.
    { # The status of a cluster and its instances.
      "state": "A String", # Output only. The cluster's state.
      "stateStartTime": "A String", # Output only. Time when this state was entered.
      "detail": "A String", # Output only. Optional details of cluster's state.
      "substate": "A String", # Output only. Additional state information that includes status reported by the agent.
    },
  ],
  "config": { # The cluster config. # Required. The cluster config. Note that Cloud Dataproc may set default values, and values may change when clusters are updated.
    "lifecycleConfig": { # Specifies the cluster auto-delete schedule configuration. # Optional. The config setting for auto delete cluster schedule.
      "autoDeleteTime": "A String", # Optional. The time when cluster will be auto-deleted.
      "idleDeleteTtl": "A String", # Optional. The duration to keep the cluster alive while idling. Passing this threshold will cause the cluster to be deleted. Valid range: 10m, 14d.Example: "10m", the minimum value, to delete the cluster when it has had no jobs running for 10 minutes.
      "autoDeleteTtl": "A String", # Optional. The lifetime duration of cluster. The cluster will be auto-deleted at the end of this period. Valid range: 10m, 14d.Example: "1d", to delete the cluster 1 day after its creation..
    },
    "softwareConfig": { # Specifies the selection and config of software inside the cluster. # Optional. The config settings for software inside the cluster.
      "imageVersion": "A String", # Optional. The version of software inside the cluster. It must be one of the supported Cloud Dataproc Versions, such as "1.2" (including a subminor version, such as "1.2.29"), or the "preview" version. If unspecified, it defaults to the latest Debian version.
      "optionalComponents": [ # The set of optional components to activate on the cluster.
        "A String",
      ],
      "properties": { # Optional. The properties to set on daemon config files.Property keys are specified in prefix:property format, for example core:hadoop.tmp.dir. The following are supported prefixes and their mappings:
          # capacity-scheduler: capacity-scheduler.xml
          # core: core-site.xml
          # distcp: distcp-default.xml
          # hdfs: hdfs-site.xml
          # hive: hive-site.xml
          # mapred: mapred-site.xml
          # pig: pig.properties
          # spark: spark-defaults.conf
          # yarn: yarn-site.xmlFor more information, see Cluster properties.
        "a_key": "A String",
      },
    },
    "configBucket": "A String", # Optional. A Google Cloud Storage bucket used to stage job dependencies, config files, and job driver console output. If you do not specify a staging bucket, Cloud Dataproc will determine a Cloud Storage location (US, ASIA, or EU) for your cluster's staging bucket according to the Google Compute Engine zone where your cluster is deployed, and then create and manage this project-level, per-location bucket (see Cloud Dataproc staging bucket).
    "gceClusterConfig": { # Common config settings for resources of Compute Engine cluster instances, applicable to all instances in the cluster. # Optional. The shared Compute Engine config settings for all instances in a cluster.
      "internalIpOnly": True or False, # Optional. If true, all instances in the cluster will only have internal IP addresses. By default, clusters are not restricted to internal IP addresses, and will have ephemeral external IP addresses assigned to each instance. This internal_ip_only restriction can only be enabled for subnetwork enabled networks, and all off-cluster dependencies must be configured to be accessible without external IP addresses.
      "reservationAffinity": { # Reservation Affinity for consuming Zonal reservation. # Optional. Reservation Affinity for consuming Zonal reservation.
        "values": [ # Optional. Corresponds to the label values of reservation resource.
          "A String",
        ],
        "consumeReservationType": "A String", # Optional. Type of reservation to consume
        "key": "A String", # Optional. Corresponds to the label key of reservation resource.
      },
      "networkUri": "A String", # Optional. The Compute Engine network to be used for machine communications. Cannot be specified with subnetwork_uri. If neither network_uri nor subnetwork_uri is specified, the "default" network of the project is used, if it exists. Cannot be a "Custom Subnet Network" (see Using Subnetworks for more information).A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/regions/global/default
          # projects/[project_id]/regions/global/default
          # default
      "tags": [ # The Compute Engine tags to add to all instances (see Tagging instances).
        "A String",
      ],
      "serviceAccount": "A String", # Optional. The service account of the instances. Defaults to the default Compute Engine service account. Custom service accounts need permissions equivalent to the following IAM roles:
          # roles/logging.logWriter
          # roles/storage.objectAdmin(see https://cloud.google.com/compute/docs/access/service-accounts#custom_service_accounts for more information). Example: [account_id]@[project_id].iam.gserviceaccount.com
      "zoneUri": "A String", # Optional. The zone where the Compute Engine cluster will be located. On a create request, it is required in the "global" region. If omitted in a non-global Cloud Dataproc region, the service will pick a zone in the corresponding Compute Engine region. On a get request, zone will always be present.A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/[zone]
          # projects/[project_id]/zones/[zone]
          # us-central1-f
      "subnetworkUri": "A String", # Optional. The Compute Engine subnetwork to be used for machine communications. Cannot be specified with network_uri.A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/regions/us-east1/subnetworks/sub0
          # projects/[project_id]/regions/us-east1/subnetworks/sub0
          # sub0
      "serviceAccountScopes": [ # Optional. The URIs of service account scopes to be included in Compute Engine instances. The following base set of scopes is always included:
          # https://www.googleapis.com/auth/cloud.useraccounts.readonly
          # https://www.googleapis.com/auth/devstorage.read_write
          # https://www.googleapis.com/auth/logging.writeIf no scopes are specified, the following defaults are also provided:
          # https://www.googleapis.com/auth/bigquery
          # https://www.googleapis.com/auth/bigtable.admin.table
          # https://www.googleapis.com/auth/bigtable.data
          # https://www.googleapis.com/auth/devstorage.full_control
        "A String",
      ],
      "metadata": { # The Compute Engine metadata entries to add to all instances (see Project and instance metadata (https://cloud.google.com/compute/docs/storing-retrieving-metadata#project_and_instance_metadata)).
        "a_key": "A String",
      },
    },
    "autoscalingConfig": { # Autoscaling Policy config associated with the cluster. # Optional. Autoscaling config for the policy associated with the cluster. Cluster does not autoscale if this field is unset.
      "policyUri": "A String", # Optional. The autoscaling policy used by the cluster.Only resource names including projectid and location (region) are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]
          # projects/[project_id]/locations/[dataproc_region]/autoscalingPolicies/[policy_id]Note that the policy must be in the same project and Cloud Dataproc region.
    },
    "endpointConfig": { # Endpoint config for this cluster # Optional. Port/endpoint configuration for this cluster
      "httpPorts": { # Output only. The map of port descriptions to URLs. Will only be populated if enable_http_port_access is true.
        "a_key": "A String",
      },
      "enableHttpPortAccess": True or False, # Optional. If true, enable http access to specific ports on the cluster from external sources. Defaults to false.
    },
    "workerConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for worker instances in a cluster.
      "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
      "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
      "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
        "A String",
      ],
      "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
      "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
        { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
          "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
          "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
        },
      ],
      "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
        "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
        "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
      },
      "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
      "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
        "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
        "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
        "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
      },
      "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
    },
    "initializationActions": [ # Optional. Commands to execute on each node after config is completed. By default, executables are run on master and all worker nodes. You can test a node's role metadata to run an executable on a master or worker node, as shown below using curl (you can also use wget):
        # ROLE=$(curl -H Metadata-Flavor:Google
        # http://metadata/computeMetadata/v1beta2/instance/attributes/dataproc-role)
        # if [[ "${ROLE}" == 'Master' ]]; then
        #   ... master specific actions ...
        # else
        #   ... worker specific actions ...
        # fi
      { # Specifies an executable to run on a fully configured node and a timeout period for executable completion.
        "executionTimeout": "A String", # Optional. Amount of time executable has to complete. Default is 10 minutes. Cluster creation fails with an explanatory error message (the name of the executable that caused the error and the exceeded timeout period) if the executable is not completed at end of the timeout period.
        "executableFile": "A String", # Required. Cloud Storage URI of executable file.
      },
    ],
    "encryptionConfig": { # Encryption settings for the cluster. # Optional. Encryption settings for the cluster.
      "gcePdKmsKeyName": "A String", # Optional. The Cloud KMS key name to use for PD disk encryption for all instances in the cluster.
    },
    "secondaryWorkerConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for additional worker instances in a cluster.
      "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
      "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
      "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
        "A String",
      ],
      "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
      "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
        { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
          "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
          "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
        },
      ],
      "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
        "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
        "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
      },
      "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
      "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
        "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
        "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
        "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
      },
      "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
    },
    "masterConfig": { # Optional. The config settings for Compute Engine resources in an instance group, such as a master or worker group. # Optional. The Compute Engine config settings for the master instance in a cluster.
      "isPreemptible": True or False, # Optional. Specifies that this instance group contains preemptible instances.
      "machineTypeUri": "A String", # Optional. The Compute Engine machine type used for cluster instances.A full URL, partial URI, or short name are valid. Examples:
          # https://www.googleapis.com/compute/v1/projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # projects/[project_id]/zones/us-east1-a/machineTypes/n1-standard-2
          # n1-standard-2Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the machine type resource, for example, n1-standard-2.
      "instanceNames": [ # Output only. The list of instance names. Cloud Dataproc derives the names from cluster_name, num_instances, and the instance group.
        "A String",
      ],
      "imageUri": "A String", # Optional. The Compute Engine image resource used for cluster instances. It can be specified or may be inferred from SoftwareConfig.image_version.
      "accelerators": [ # Optional. The Compute Engine accelerator configuration for these instances.Beta Feature: This feature is still under development. It may be changed before final release.
        { # Specifies the type and number of accelerator cards attached to the instances of an instance group (see GPUs on Compute Engine).
          "acceleratorCount": 42, # The number of the accelerator cards of this type exposed to this instance.
          "acceleratorTypeUri": "A String", # Full URL, partial URI, or short name of the accelerator type resource to expose to this instance. See Compute Engine AcceleratorTypesExamples * https://www.googleapis.com/compute/beta/projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * projects/[project_id]/zones/us-east1-a/acceleratorTypes/nvidia-tesla-k80 * nvidia-tesla-k80Auto Zone Exception: If you are using the Cloud Dataproc Auto Zone Placement feature, you must use the short name of the accelerator type resource, for example, nvidia-tesla-k80.
        },
      ],
      "managedGroupConfig": { # Specifies the resources used to actively manage an instance group. # Output only. The config for Compute Engine Instance Group Manager that manages this group. This is only used for preemptible instance groups.
        "instanceTemplateName": "A String", # Output only. The name of the Instance Template used for the Managed Instance Group.
        "instanceGroupManagerName": "A String", # Output only. The name of the Instance Group Manager for this group.
      },
      "minCpuPlatform": "A String", # Optional. Specifies the minimum cpu platform for the Instance Group. See Cloud Dataproc→Minimum CPU Platform.
      "diskConfig": { # Specifies the config of disk options for a group of VM instances. # Optional. Disk option config settings.
        "numLocalSsds": 42, # Optional. Number of attached SSDs, from 0 to 4 (default is 0). If SSDs are not attached, the boot disk is used to store runtime logs and HDFS (https://hadoop.apache.org/docs/r1.2.1/hdfs_user_guide.html) data. If one or more SSDs are attached, this runtime bulk data is spread across them, and the boot disk contains only basic config and installed binaries.
        "bootDiskType": "A String", # Optional. Type of the boot disk (default is "pd-standard"). Valid values: "pd-ssd" (Persistent Disk Solid State Drive) or "pd-standard" (Persistent Disk Hard Disk Drive).
        "bootDiskSizeGb": 42, # Optional. Size in GB of the boot disk (default is 500GB).
      },
      "numInstances": 42, # Optional. The number of VM instances in the instance group. For master instance groups, must be set to 1.
    },
    "securityConfig": { # Security related configuration, including encryption, Kerberos, etc. # Optional. Security related configuration.
      "kerberosConfig": { # Specifies Kerberos related configuration. # Kerberos related configuration.
        "truststorePasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided truststore. For the self-signed certificate, this password is generated by Dataproc.
        "crossRealmTrustRealm": "A String", # Optional. The remote realm the Dataproc on-cluster KDC will trust, should the user enable cross realm trust.
        "keyPasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided key. For the self-signed certificate, this password is generated by Dataproc.
        "enableKerberos": True or False, # Optional. Flag to indicate whether to Kerberize the cluster.
        "tgtLifetimeHours": 42, # Optional. The lifetime of the ticket granting ticket, in hours. If not specified, or user specifies 0, then default value 10 will be used.
        "crossRealmTrustKdc": "A String", # Optional. The KDC (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
        "rootPrincipalPasswordUri": "A String", # Required. The Cloud Storage URI of a KMS encrypted file containing the root principal password.
        "keystorePasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the password to the user provided keystore. For the self-signed certificate, this password is generated by Dataproc.
        "crossRealmTrustSharedPasswordUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the shared password between the on-cluster Kerberos realm and the remote trusted realm, in a cross realm trust relationship.
        "crossRealmTrustAdminServer": "A String", # Optional. The admin server (IP or hostname) for the remote trusted realm in a cross realm trust relationship.
        "truststoreUri": "A String", # Optional. The Cloud Storage URI of the truststore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
        "kmsKeyUri": "A String", # Required. The uri of the KMS key used to encrypt various sensitive files.
        "kdcDbKeyUri": "A String", # Optional. The Cloud Storage URI of a KMS encrypted file containing the master key of the KDC database.
        "keystoreUri": "A String", # Optional. The Cloud Storage URI of the keystore file used for SSL encryption. If not provided, Dataproc will provide a self-signed certificate.
      },
    },
  },
}

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format
  gracefulDecommissionTimeout: string, Optional. Timeout for graceful YARN decomissioning. Graceful decommissioning allows removing nodes from the cluster without interrupting jobs in progress. Timeout specifies how long to wait for jobs in progress to finish before forcefully removing nodes (and potentially interrupting jobs). Default timeout is 0 (for forceful decommission), and the maximum allowed timeout is 1 day.Only supported on Dataproc image versions 1.2 and higher.
  requestId: string, Optional. A unique id used to identify the request. If the server receives two UpdateClusterRequest requests with the same id, then the second request will be ignored and the first google.longrunning.Operation created and stored in the backend is returned.It is recommended to always set this value to a UUID (https://en.wikipedia.org/wiki/Universally_unique_identifier).The id must contain only letters (a-z, A-Z), numbers (0-9), underscores (_), and hyphens (-). The maximum length is 40 characters.
  updateMask: string, Required. Specifies the path, relative to Cluster, of the field to update. For example, to change the number of workers in a cluster to 5, the update_mask parameter would be specified as config.worker_config.num_instances, and the PATCH request body would specify the new value, as follows:
{
  "config":{
    "workerConfig":{
      "numInstances":"5"
    }
  }
}
Similarly, to change the number of preemptible workers in a cluster to 5, the update_mask parameter would be config.secondary_worker_config.num_instances, and the PATCH request body would be set as follows:
{
  "config":{
    "secondaryWorkerConfig":{
      "numInstances":"5"
    }
  }
}
Note: currently only the following fields can be updated:


Mask Purpose


labels Updates labels


config.worker_config.num_instances Resize primary worker
group


config.secondary_worker_config.num_instances Resize secondary
worker group


config.lifecycle_config.auto_delete_ttl Reset MAX TTL
duration


config.lifecycle_config.auto_delete_time Update MAX TTL
deletion timestamp


config.lifecycle_config.idle_delete_ttl Update Idle TTL
duration


config.autoscaling_config.policy_uri Use, stop using, or change
autoscaling policies



Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a network API call.
    "response": { # The normal response of the operation in case of success. If the original method returns no data on success, such as Delete, the response is google.protobuf.Empty. If the original method is standard Get/Create/Update, the response should be the resource. For other methods, the response should have the type XxxResponse, where Xxx is the original method name. For example, if the original method name is TakeSnapshot(), the inferred response type is TakeSnapshotResponse.
      "a_key": "", # Properties of the object. Contains field @type with type URL.
    },
    "metadata": { # Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.
      "a_key": "", # Properties of the object. Contains field @type with type URL.
    },
    "done": True or False, # If the value is false, it means the operation is still in progress. If true, the operation is completed, and either error or response is available.
    "name": "A String", # The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the name should be a resource name ending with operations/{unique_id}.
    "error": { # The Status type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by gRPC (https://github.com/grpc). Each Status message contains three pieces of data: error code, error message, and error details.You can find out more about this error model and how to work with it in the API Design Guide (https://cloud.google.com/apis/design/errors). # The error result of the operation in case of failure or cancellation.
      "message": "A String", # A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.
      "code": 42, # The status code, which should be an enum value of google.rpc.Code.
      "details": [ # A list of messages that carry the error details. There is a common set of message types for APIs to use.
        {
          "a_key": "", # Properties of the object. Contains field @type with type URL.
        },
      ],
    },
  }

setIamPolicy(resource, body, x__xgafv=None)

Sets the access control policy on the specified resource. Replaces any existing policy.

Args:
  resource: string, REQUIRED: The resource for which the policy is being specified. See the operation documentation for the appropriate value for this field. (required)
  body: object, The request body. (required)
    The object takes the form of:

{ # Request message for SetIamPolicy method.
    "policy": { # Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources.A Policy consists of a list of bindings. A binding binds a list of members to a role, where the members can be user accounts, Google groups, Google domains, and service accounts. A role is a named list of permissions defined by IAM.JSON Example # REQUIRED: The complete policy to be applied to the resource. The size of the policy is limited to a few 10s of KB. An empty policy is a valid policy but certain Cloud Platform services (such as Projects) might reject them.
        # {
        #   "bindings": [
        #     {
        #       "role": "roles/owner",
        #       "members": [
        #         "user:mike@example.com",
        #         "group:admins@example.com",
        #         "domain:google.com",
        #         "serviceAccount:my-other-app@appspot.gserviceaccount.com"
        #       ]
        #     },
        #     {
        #       "role": "roles/viewer",
        #       "members": ["user:sean@example.com"]
        #     }
        #   ]
        # }
        # YAML Example
        # bindings:
        # - members:
        #   - user:mike@example.com
        #   - group:admins@example.com
        #   - domain:google.com
        #   - serviceAccount:my-other-app@appspot.gserviceaccount.com
        #   role: roles/owner
        # - members:
        #   - user:sean@example.com
        #   role: roles/viewer
        # For a description of IAM and its features, see the IAM developer's guide (https://cloud.google.com/iam/docs).
      "bindings": [ # Associates a list of members to a role. bindings with no members will result in an error.
        { # Associates members with a role.
          "role": "A String", # Role that is assigned to members. For example, roles/viewer, roles/editor, or roles/owner.
          "members": [ # Specifies the identities requesting access for a Cloud Platform resource. members can have 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 .
              # 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}: The G Suite domain (primary) that represents all the  users of that domain. For example, google.com or example.com.
            "A String",
          ],
          "condition": { # Represents an expression text. Example: # The condition that is associated with this binding. NOTE: An unsatisfied condition will not allow user access via current binding. Different bindings, including their conditions, are examined independently.
              # title: "User account presence"
              # description: "Determines whether the request has a user account"
              # expression: "size(request.user) > 0"
            "location": "A String", # An optional string indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
            "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.The application context of the containing message determines which well-known feature set of CEL is supported.
            "description": "A String", # An optional description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
            "title": "A String", # An optional title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
          },
        },
      ],
      "etag": "A String", # etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the etag in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An etag is returned in the response to getIamPolicy, and systems are expected to put that etag in the request to setIamPolicy to ensure that their change will be applied to the same version of the policy.If no etag is provided in the call to setIamPolicy, then the existing policy is overwritten blindly.
      "version": 42, # Deprecated.
    },
  }

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources.A Policy consists of a list of bindings. A binding binds a list of members to a role, where the members can be user accounts, Google groups, Google domains, and service accounts. A role is a named list of permissions defined by IAM.JSON Example
      # {
      #   "bindings": [
      #     {
      #       "role": "roles/owner",
      #       "members": [
      #         "user:mike@example.com",
      #         "group:admins@example.com",
      #         "domain:google.com",
      #         "serviceAccount:my-other-app@appspot.gserviceaccount.com"
      #       ]
      #     },
      #     {
      #       "role": "roles/viewer",
      #       "members": ["user:sean@example.com"]
      #     }
      #   ]
      # }
      # YAML Example
      # bindings:
      # - members:
      #   - user:mike@example.com
      #   - group:admins@example.com
      #   - domain:google.com
      #   - serviceAccount:my-other-app@appspot.gserviceaccount.com
      #   role: roles/owner
      # - members:
      #   - user:sean@example.com
      #   role: roles/viewer
      # For a description of IAM and its features, see the IAM developer's guide (https://cloud.google.com/iam/docs).
    "bindings": [ # Associates a list of members to a role. bindings with no members will result in an error.
      { # Associates members with a role.
        "role": "A String", # Role that is assigned to members. For example, roles/viewer, roles/editor, or roles/owner.
        "members": [ # Specifies the identities requesting access for a Cloud Platform resource. members can have 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 .
            # 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}: The G Suite domain (primary) that represents all the  users of that domain. For example, google.com or example.com.
          "A String",
        ],
        "condition": { # Represents an expression text. Example: # The condition that is associated with this binding. NOTE: An unsatisfied condition will not allow user access via current binding. Different bindings, including their conditions, are examined independently.
            # title: "User account presence"
            # description: "Determines whether the request has a user account"
            # expression: "size(request.user) > 0"
          "location": "A String", # An optional string indicating the location of the expression for error reporting, e.g. a file name and a position in the file.
          "expression": "A String", # Textual representation of an expression in Common Expression Language syntax.The application context of the containing message determines which well-known feature set of CEL is supported.
          "description": "A String", # An optional description of the expression. This is a longer text which describes the expression, e.g. when hovered over it in a UI.
          "title": "A String", # An optional title for the expression, i.e. a short string describing its purpose. This can be used e.g. in UIs which allow to enter the expression.
        },
      },
    ],
    "etag": "A String", # etag is used for optimistic concurrency control as a way to help prevent simultaneous updates of a policy from overwriting each other. It is strongly suggested that systems make use of the etag in the read-modify-write cycle to perform policy updates in order to avoid race conditions: An etag is returned in the response to getIamPolicy, and systems are expected to put that etag in the request to setIamPolicy to ensure that their change will be applied to the same version of the policy.If no etag is provided in the call to setIamPolicy, then the existing policy is overwritten blindly.
    "version": 42, # Deprecated.
  }

Cloud Dataproc API . projects . regions . clusters

Instance Methods

Method Details

Mask	Purpose
labels	Updates labels
config.worker_config.num_instances	Resize primary worker group
config.secondary_worker_config.num_instances	Resize secondary worker group
config.lifecycle_config.auto_delete_ttl	Reset MAX TTL duration
config.lifecycle_config.auto_delete_time	Update MAX TTL deletion timestamp
config.lifecycle_config.idle_delete_ttl	Update Idle TTL duration
config.autoscaling_config.policy_uri	Use, stop using, or change autoscaling policies