As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

ClusterController

class google.cloud.dataproc_v1.services.cluster_controller.ClusterControllerAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataproc_v1.services.cluster_controller.transports.base.ClusterControllerTransport, typing.Callable[[...], google.cloud.dataproc_v1.services.cluster_controller.transports.base.ClusterControllerTransport]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

The ClusterControllerService provides methods to manage clusters of Compute Engine instances.

Instantiates the cluster controller async client.

Parameters

  • credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

  • transport (Optional[Union[str,ClusterControllerTransport,Callable[..., ClusterControllerTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport to use. If a Callable is given, it will be called with the same set of initialization arguments as used in the ClusterControllerTransport constructor. If set to None, a transport is chosen automatically.

  • client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –

    Custom options for the client.

    1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

    2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

    3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.

  • client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

async cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters

  • request (CancelOperationRequest) – The request object. Request message for CancelOperation method.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

static cluster_path(project: str, location: str, cluster: str) → str

Returns a fully-qualified cluster string.

static common_billing_account_path(billing_account: str) → str

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str

Returns a fully-qualified location string.

static common_organization_path(organization: str) → str

Returns a fully-qualified organization string.

static common_project_path(project: str) → str

Returns a fully-qualified project string.

async create_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.CreateClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster: Optional[google.cloud.dataproc_v1.types.clusters.Cluster] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

Creates a cluster in a project. The returned [Operation.metadata][google.longrunning.Operation.metadata] will be ClusterOperationMetadata.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

async def sample_create_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerAsyncClient()

    # Initialize request argument(s)
    cluster = dataproc_v1.Cluster()
    cluster.project_id = "project_id_value"
    cluster.cluster_name = "cluster_name_value"

    request = dataproc_v1.CreateClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster=cluster,
    )

    # Make the request
    operation = client.create_cluster(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.dataproc_v1.types.CreateClusterRequest, dict]]) – The request object. A request to create a cluster.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project that the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • cluster (google.cloud.dataproc_v1.types.Cluster) – Required. The cluster to create. This corresponds to the cluster field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.Cluster Describes the identifying information, config, and status of

a Dataproc cluster

Return type

google.api_core.operation_async.AsyncOperation

static crypto_key_path(project: str, location: str, key_ring: str, crypto_key: str) → str

Returns a fully-qualified crypto_key string.

async delete_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.DeleteClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

Deletes a cluster in a project. The returned [Operation.metadata][google.longrunning.Operation.metadata] will be ClusterOperationMetadata.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

async def sample_delete_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.DeleteClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
    )

    # Make the request
    operation = client.delete_cluster(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.dataproc_v1.types.DeleteClusterRequest, dict]]) – The request object. A request to delete a cluster.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project that the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • cluster_name (str) – Required. The cluster name. This corresponds to the cluster_name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated

empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:

service Foo {

rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);

}

Return type

google.api_core.operation_async.AsyncOperation

async delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters

  • request (DeleteOperationRequest) – The request object. Request message for DeleteOperation method.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

async diagnose_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.DiagnoseClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

Gets cluster diagnostic information. The returned [Operation.metadata][google.longrunning.Operation.metadata] will be ClusterOperationMetadata. After the operation completes, [Operation.response][google.longrunning.Operation.response] contains DiagnoseClusterResults.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

async def sample_diagnose_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.DiagnoseClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
    )

    # Make the request
    operation = client.diagnose_cluster(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.dataproc_v1.types.DiagnoseClusterRequest, dict]]) – The request object. A request to collect cluster diagnostic information.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project that the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • cluster_name (str) – Required. The cluster name. This corresponds to the cluster_name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.DiagnoseClusterResults The location of diagnostic output.

Return type

google.api_core.operation_async.AsyncOperation

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ClusterControllerAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters

  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ClusterControllerAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ClusterControllerAsyncClient

async get_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.GetClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataproc_v1.types.clusters.Cluster[source]

Gets the resource representation for a cluster in a project.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

async def sample_get_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.GetClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
    )

    # Make the request
    response = await client.get_cluster(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.dataproc_v1.types.GetClusterRequest, dict]]) – The request object. Request to get the resource representation for a cluster in a project.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project that the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • cluster_name (str) – Required. The cluster name. This corresponds to the cluster_name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Describes the identifying information, config, and status of a Dataproc cluster

Return type

google.cloud.dataproc_v1.types.Cluster

async get_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.policy_pb2.Policy[source]

Gets the IAM access control policy for a function.

Returns an empty policy if the function exists and does not have a policy set.

Parameters

  • request (GetIamPolicyRequest) – The request object. Request message for GetIamPolicy method.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type

Policy

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not “true”, the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “always”, use the default mTLS endpoint; if the environment variable is “never”, use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameters

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns

returns the API endpoint and the

client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]

Gets the latest state of a long-running operation.

Parameters

  • request (GetOperationRequest) – The request object. Request message for GetOperation method.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An Operation object.

Return type

Operation

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.dataproc_v1.services.cluster_controller.transports.base.ClusterControllerTransport]

Returns an appropriate transport class.

Parameters

label – The name of the desired transport. If none is provided, then the first transport in the registry is used.

Returns

The transport class to use.

async list_clusters(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.ListClustersRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, filter: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataproc_v1.services.cluster_controller.pagers.ListClustersAsyncPager[source]

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

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

async def sample_list_clusters():
    # Create a client
    client = dataproc_v1.ClusterControllerAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.ListClustersRequest(
        project_id="project_id_value",
        region="region_value",
    )

    # Make the request
    page_result = client.list_clusters(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[Union[google.cloud.dataproc_v1.types.ListClustersRequest, dict]]) – The request object. A request to list the clusters in a project.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project that the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • filter (str) –

    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, UPDATING, STOPPING, or STOPPED. ACTIVE contains the CREATING, UPDATING, and RUNNING states. INACTIVE contains the DELETING, ERROR, STOPPING, and STOPPED 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 = *

    This corresponds to the filter field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The list of all clusters in a project. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.dataproc_v1.services.cluster_controller.pagers.ListClustersAsyncPager

async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]

Lists operations that match the specified filter in the request.

Parameters

  • request (ListOperationsRequest) – The request object. Request message for ListOperations method.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListOperations method.

Return type

ListOperationsResponse

static node_group_path(project: str, region: str, cluster: str, node_group: str) → str

Returns a fully-qualified node_group string.

static parse_cluster_path(path: str) → Dict[str, str]

Parses a cluster path into its component segments.

static parse_common_billing_account_path(path: str) → Dict[str, str]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]

Parse a project path into its component segments.

static parse_crypto_key_path(path: str) → Dict[str, str]

Parses a crypto_key path into its component segments.

static parse_node_group_path(path: str) → Dict[str, str]

Parses a node_group path into its component segments.

static parse_service_path(path: str) → Dict[str, str]

Parses a service path into its component segments.

static service_path(project: str, location: str, service: str) → str

Returns a fully-qualified service string.

async set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.policy_pb2.Policy[source]

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters

  • request (SetIamPolicyRequest) – The request object. Request message for SetIamPolicy method.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type

Policy

async start_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.StartClusterRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

Starts a cluster in a project.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

async def sample_start_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.StartClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
    )

    # Make the request
    operation = client.start_cluster(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.dataproc_v1.types.StartClusterRequest, dict]]) – The request object. A request to start a cluster.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.Cluster Describes the identifying information, config, and status of

a Dataproc cluster

Return type

google.api_core.operation_async.AsyncOperation

async stop_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.StopClusterRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

Stops a cluster in a project.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

async def sample_stop_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerAsyncClient()

    # Initialize request argument(s)
    request = dataproc_v1.StopClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
    )

    # Make the request
    operation = client.stop_cluster(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.dataproc_v1.types.StopClusterRequest, dict]]) – The request object. A request to stop a cluster.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.Cluster Describes the identifying information, config, and status of

a Dataproc cluster

Return type

google.api_core.operation_async.AsyncOperation

async test_iam_permissions(request: Optional[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse[source]
Tests the specified IAM permissions against the IAM access control

policy for a function.

If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Parameters

  • request (TestIamPermissionsRequest) – The request object. Request message for TestIamPermissions method.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for TestIamPermissions method.

Return type

TestIamPermissionsResponse

property transport: google.cloud.dataproc_v1.services.cluster_controller.transports.base.ClusterControllerTransport

Returns the transport used by the client instance.

Returns

The transport used by the client instance.

Return type

ClusterControllerTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used

by the client instance.

Return type

str

async update_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.UpdateClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, cluster: Optional[google.cloud.dataproc_v1.types.clusters.Cluster] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

Updates a cluster in a project. The returned [Operation.metadata][google.longrunning.Operation.metadata] will be ClusterOperationMetadata. The cluster must be in a [RUNNING][google.cloud.dataproc.v1.ClusterStatus.State] state or an error is returned.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

async def sample_update_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerAsyncClient()

    # Initialize request argument(s)
    cluster = dataproc_v1.Cluster()
    cluster.project_id = "project_id_value"
    cluster.cluster_name = "cluster_name_value"

    request = dataproc_v1.UpdateClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
        cluster=cluster,
    )

    # Make the request
    operation = client.update_cluster(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.dataproc_v1.types.UpdateClusterRequest, dict]]) – The request object. A request to update a cluster.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • cluster_name (str) – Required. The cluster name. This corresponds to the cluster_name field on the request instance; if request is provided, this should not be set.

  • cluster (google.cloud.dataproc_v1.types.Cluster) – Required. The changes to the cluster. This corresponds to the cluster field on the request instance; if request is provided, this should not be set.

  • update_mask (google.protobuf.field_mask_pb2.FieldMask) –

    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 Update labels
    config.worker_config.num_instances Resize primary worker group
    config.secondary_worker_config.num_instances Resize secondary worker group
    config.autoscaling_config.policy_uriUse, stop using, or change autoscaling policies

    This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.Cluster Describes the identifying information, config, and status of

a Dataproc cluster

Return type

google.api_core.operation_async.AsyncOperation

class google.cloud.dataproc_v1.services.cluster_controller.ClusterControllerClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataproc_v1.services.cluster_controller.transports.base.ClusterControllerTransport, typing.Callable[[...], google.cloud.dataproc_v1.services.cluster_controller.transports.base.ClusterControllerTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

The ClusterControllerService provides methods to manage clusters of Compute Engine instances.

Instantiates the cluster controller client.

Parameters

  • credentials (Optional[google.auth.credentials.Credentials]) – The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

  • transport (Optional[Union[str,ClusterControllerTransport,Callable[..., ClusterControllerTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the ClusterControllerTransport constructor. If set to None, a transport is chosen automatically.

  • client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]) –

    Custom options for the client.

    1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: “always” (always use the default mTLS endpoint), “never” (always use the default regular endpoint) and “auto” (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value).

    2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “true”, then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is “false” or not set, no client certificate will be used.

    3. The universe_domain property can be used to override the default “googleapis.com” universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.

  • client_info (google.api_core.gapic_v1.client_info.ClientInfo) – The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you’re developing your own client library.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]

Releases underlying transport’s resources.

Warning

ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters

  • request (CancelOperationRequest) – The request object. Request message for CancelOperation method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

static cluster_path(project: str, location: str, cluster: str) → str[source]

Returns a fully-qualified cluster string.

static common_billing_account_path(billing_account: str) → str[source]

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]

Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]

Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]

Returns a fully-qualified project string.

create_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.CreateClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster: Optional[google.cloud.dataproc_v1.types.clusters.Cluster] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]

Creates a cluster in a project. The returned [Operation.metadata][google.longrunning.Operation.metadata] will be ClusterOperationMetadata.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

def sample_create_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerClient()

    # Initialize request argument(s)
    cluster = dataproc_v1.Cluster()
    cluster.project_id = "project_id_value"
    cluster.cluster_name = "cluster_name_value"

    request = dataproc_v1.CreateClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster=cluster,
    )

    # Make the request
    operation = client.create_cluster(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters

  • request (Union[google.cloud.dataproc_v1.types.CreateClusterRequest, dict]) – The request object. A request to create a cluster.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project that the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • cluster (google.cloud.dataproc_v1.types.Cluster) – Required. The cluster to create. This corresponds to the cluster field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.Cluster Describes the identifying information, config, and status of

a Dataproc cluster

Return type

google.api_core.operation.Operation

static crypto_key_path(project: str, location: str, key_ring: str, crypto_key: str) → str[source]

Returns a fully-qualified crypto_key string.

delete_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.DeleteClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]

Deletes a cluster in a project. The returned [Operation.metadata][google.longrunning.Operation.metadata] will be ClusterOperationMetadata.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

def sample_delete_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerClient()

    # Initialize request argument(s)
    request = dataproc_v1.DeleteClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
    )

    # Make the request
    operation = client.delete_cluster(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters

  • request (Union[google.cloud.dataproc_v1.types.DeleteClusterRequest, dict]) – The request object. A request to delete a cluster.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project that the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • cluster_name (str) – Required. The cluster name. This corresponds to the cluster_name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated

empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:

service Foo {

rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);

}

Return type

google.api_core.operation.Operation

delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters

  • request (DeleteOperationRequest) – The request object. Request message for DeleteOperation method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

diagnose_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.DiagnoseClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]

Gets cluster diagnostic information. The returned [Operation.metadata][google.longrunning.Operation.metadata] will be ClusterOperationMetadata. After the operation completes, [Operation.response][google.longrunning.Operation.response] contains DiagnoseClusterResults.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

def sample_diagnose_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerClient()

    # Initialize request argument(s)
    request = dataproc_v1.DiagnoseClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
    )

    # Make the request
    operation = client.diagnose_cluster(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters

  • request (Union[google.cloud.dataproc_v1.types.DiagnoseClusterRequest, dict]) – The request object. A request to collect cluster diagnostic information.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project that the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • cluster_name (str) – Required. The cluster name. This corresponds to the cluster_name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.DiagnoseClusterResults The location of diagnostic output.

Return type

google.api_core.operation.Operation

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ClusterControllerClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters

  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ClusterControllerClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ClusterControllerClient

get_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.GetClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataproc_v1.types.clusters.Cluster[source]

Gets the resource representation for a cluster in a project.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

def sample_get_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerClient()

    # Initialize request argument(s)
    request = dataproc_v1.GetClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
    )

    # Make the request
    response = client.get_cluster(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Union[google.cloud.dataproc_v1.types.GetClusterRequest, dict]) – The request object. Request to get the resource representation for a cluster in a project.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project that the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • cluster_name (str) – Required. The cluster name. This corresponds to the cluster_name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Describes the identifying information, config, and status of a Dataproc cluster

Return type

google.cloud.dataproc_v1.types.Cluster

get_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.GetIamPolicyRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.policy_pb2.Policy[source]

Gets the IAM access control policy for a function.

Returns an empty policy if the function exists and does not have a policy set.

Parameters

  • request (GetIamPolicyRequest) – The request object. Request message for GetIamPolicy method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type

Policy

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]

Deprecated. Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not “true”, the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is “always”, use the default mTLS endpoint; if the environment variable is “never”, use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameters

client_options (google.api_core.client_options.ClientOptions) – Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Returns

returns the API endpoint and the

client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]

Gets the latest state of a long-running operation.

Parameters

  • request (GetOperationRequest) – The request object. Request message for GetOperation method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An Operation object.

Return type

Operation

list_clusters(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.ListClustersRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, filter: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dataproc_v1.services.cluster_controller.pagers.ListClustersPager[source]

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

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

def sample_list_clusters():
    # Create a client
    client = dataproc_v1.ClusterControllerClient()

    # Initialize request argument(s)
    request = dataproc_v1.ListClustersRequest(
        project_id="project_id_value",
        region="region_value",
    )

    # Make the request
    page_result = client.list_clusters(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters

  • request (Union[google.cloud.dataproc_v1.types.ListClustersRequest, dict]) – The request object. A request to list the clusters in a project.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project that the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • filter (str) –

    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, UPDATING, STOPPING, or STOPPED. ACTIVE contains the CREATING, UPDATING, and RUNNING states. INACTIVE contains the DELETING, ERROR, STOPPING, and STOPPED 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 = *

    This corresponds to the filter field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The list of all clusters in a project. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.dataproc_v1.services.cluster_controller.pagers.ListClustersPager

list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]

Lists operations that match the specified filter in the request.

Parameters

  • request (ListOperationsRequest) – The request object. Request message for ListOperations method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListOperations method.

Return type

ListOperationsResponse

static node_group_path(project: str, region: str, cluster: str, node_group: str) → str[source]

Returns a fully-qualified node_group string.

static parse_cluster_path(path: str) → Dict[str, str][source]

Parses a cluster path into its component segments.

static parse_common_billing_account_path(path: str) → Dict[str, str][source]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]

Parse a project path into its component segments.

static parse_crypto_key_path(path: str) → Dict[str, str][source]

Parses a crypto_key path into its component segments.

static parse_node_group_path(path: str) → Dict[str, str][source]

Parses a node_group path into its component segments.

static parse_service_path(path: str) → Dict[str, str][source]

Parses a service path into its component segments.

static service_path(project: str, location: str, service: str) → str[source]

Returns a fully-qualified service string.

set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.policy_pb2.Policy[source]

Sets the IAM access control policy on the specified function.

Replaces any existing policy.

Parameters

  • request (SetIamPolicyRequest) – The request object. Request message for SetIamPolicy method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A Policy is a collection of bindings. A binding binds one or more members to a single role. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). A role is a named list of permissions (defined by IAM or configured by users). A binding can optionally specify a condition, which is a logic expression that further constrains the role binding based on attributes about the request and/or target resource.

JSON Example

{
  "bindings": [
    {
      "role": "roles/resourcemanager.organizationAdmin",
      "members": [
        "user:mike@example.com",
        "group:admins@example.com",
        "domain:google.com",
        "serviceAccount:my-project-id@appspot.gserviceaccount.com"
      ]
    },
    {
      "role": "roles/resourcemanager.organizationViewer",
      "members": ["user:eve@example.com"],
      "condition": {
        "title": "expirable access",
        "description": "Does not grant access after Sep 2020",
        "expression": "request.time <
        timestamp('2020-10-01T00:00:00.000Z')",
      }
    }
  ]
}

YAML Example

bindings:
- members:
  - user:mike@example.com
  - group:admins@example.com
  - domain:google.com
  - serviceAccount:my-project-id@appspot.gserviceaccount.com
  role: roles/resourcemanager.organizationAdmin
- members:
  - user:eve@example.com
  role: roles/resourcemanager.organizationViewer
  condition:
    title: expirable access
    description: Does not grant access after Sep 2020
    expression: request.time < timestamp('2020-10-01T00:00:00.000Z')

For a description of IAM and its features, see the IAM developer’s guide.

Return type

Policy

start_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.StartClusterRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]

Starts a cluster in a project.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

def sample_start_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerClient()

    # Initialize request argument(s)
    request = dataproc_v1.StartClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
    )

    # Make the request
    operation = client.start_cluster(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.Cluster Describes the identifying information, config, and status of

a Dataproc cluster

Return type

google.api_core.operation.Operation

stop_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.StopClusterRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]

Stops a cluster in a project.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

def sample_stop_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerClient()

    # Initialize request argument(s)
    request = dataproc_v1.StopClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
    )

    # Make the request
    operation = client.stop_cluster(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.Cluster Describes the identifying information, config, and status of

a Dataproc cluster

Return type

google.api_core.operation.Operation

test_iam_permissions(request: Optional[google.iam.v1.iam_policy_pb2.TestIamPermissionsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.iam.v1.iam_policy_pb2.TestIamPermissionsResponse[source]
Tests the specified IAM permissions against the IAM access control

policy for a function.

If the function does not exist, this will return an empty set of permissions, not a NOT_FOUND error.

Parameters

  • request (TestIamPermissionsRequest) – The request object. Request message for TestIamPermissions method.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for TestIamPermissions method.

Return type

TestIamPermissionsResponse

property transport: google.cloud.dataproc_v1.services.cluster_controller.transports.base.ClusterControllerTransport

Returns the transport used by the client instance.

Returns

The transport used by the client

instance.

Return type

ClusterControllerTransport

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used by the client instance.

Return type

str

update_cluster(request: Optional[Union[google.cloud.dataproc_v1.types.clusters.UpdateClusterRequest, dict]] = None, *, project_id: Optional[str] = None, region: Optional[str] = None, cluster_name: Optional[str] = None, cluster: Optional[google.cloud.dataproc_v1.types.clusters.Cluster] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]

Updates a cluster in a project. The returned [Operation.metadata][google.longrunning.Operation.metadata] will be ClusterOperationMetadata. The cluster must be in a [RUNNING][google.cloud.dataproc.v1.ClusterStatus.State] state or an error is returned.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dataproc_v1

def sample_update_cluster():
    # Create a client
    client = dataproc_v1.ClusterControllerClient()

    # Initialize request argument(s)
    cluster = dataproc_v1.Cluster()
    cluster.project_id = "project_id_value"
    cluster.cluster_name = "cluster_name_value"

    request = dataproc_v1.UpdateClusterRequest(
        project_id="project_id_value",
        region="region_value",
        cluster_name="cluster_name_value",
        cluster=cluster,
    )

    # Make the request
    operation = client.update_cluster(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters

  • request (Union[google.cloud.dataproc_v1.types.UpdateClusterRequest, dict]) – The request object. A request to update a cluster.

  • project_id (str) –

    Required. The ID of the Google Cloud Platform project the cluster belongs to.

    This corresponds to the project_id field on the request instance; if request is provided, this should not be set.

  • region (str) –

    Required. The Dataproc region in which to handle the request.

    This corresponds to the region field on the request instance; if request is provided, this should not be set.

  • cluster_name (str) – Required. The cluster name. This corresponds to the cluster_name field on the request instance; if request is provided, this should not be set.

  • cluster (google.cloud.dataproc_v1.types.Cluster) – Required. The changes to the cluster. This corresponds to the cluster field on the request instance; if request is provided, this should not be set.

  • update_mask (google.protobuf.field_mask_pb2.FieldMask) –

    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 Update labels
    config.worker_config.num_instances Resize primary worker group
    config.secondary_worker_config.num_instances Resize secondary worker group
    config.autoscaling_config.policy_uriUse, stop using, or change autoscaling policies

    This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.dataproc_v1.types.Cluster Describes the identifying information, config, and status of

a Dataproc cluster

Return type

google.api_core.operation.Operation

class google.cloud.dataproc_v1.services.cluster_controller.pagers.ListClustersAsyncPager(method: Callable[[...], Awaitable[google.cloud.dataproc_v1.types.clusters.ListClustersResponse]], request: google.cloud.dataproc_v1.types.clusters.ListClustersRequest, response: google.cloud.dataproc_v1.types.clusters.ListClustersResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_clusters requests.

This class thinly wraps an initial google.cloud.dataproc_v1.types.ListClustersResponse object, and provides an __aiter__ method to iterate through its clusters field.

If there are more pages, the __aiter__ method will make additional ListClusters requests and continue to iterate through the clusters field on the corresponding responses.

All the usual google.cloud.dataproc_v1.types.ListClustersResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.dataproc_v1.services.cluster_controller.pagers.ListClustersPager(method: Callable[[...], google.cloud.dataproc_v1.types.clusters.ListClustersResponse], request: google.cloud.dataproc_v1.types.clusters.ListClustersRequest, response: google.cloud.dataproc_v1.types.clusters.ListClustersResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_clusters requests.

This class thinly wraps an initial google.cloud.dataproc_v1.types.ListClustersResponse object, and provides an __iter__ method to iterate through its clusters field.

If there are more pages, the __iter__ method will make additional ListClusters requests and continue to iterate through the clusters field on the corresponding responses.

All the usual google.cloud.dataproc_v1.types.ListClustersResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters