HypercomputeClusterAsyncClient(
*,
credentials: typing.Optional[google.auth.credentials.Credentials] = None,
transport: typing.Optional[
typing.Union[
str,
google.cloud.hypercomputecluster_v1beta.services.hypercompute_cluster.transports.base.HypercomputeClusterTransport,
typing.Callable[
[...],
google.cloud.hypercomputecluster_v1beta.services.hypercompute_cluster.transports.base.HypercomputeClusterTransport,
],
]
] = "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
)Service describing handlers for resources
Properties
api_endpoint
Return the API endpoint used by the client instance.
| Returns | |
|---|---|
| Type | Description |
str |
The API endpoint used by the client instance. |
transport
Returns the transport used by the client instance.
| Returns | |
|---|---|
| Type | Description |
HypercomputeClusterTransport |
The transport used by the client instance. |
universe_domain
Return the universe domain used by the client instance.
| Returns | |
|---|---|
| Type | Description |
str |
The universe domain used by the client instance. |
Methods
HypercomputeClusterAsyncClient
HypercomputeClusterAsyncClient(
*,
credentials: typing.Optional[google.auth.credentials.Credentials] = None,
transport: typing.Optional[
typing.Union[
str,
google.cloud.hypercomputecluster_v1beta.services.hypercompute_cluster.transports.base.HypercomputeClusterTransport,
typing.Callable[
[...],
google.cloud.hypercomputecluster_v1beta.services.hypercompute_cluster.transports.base.HypercomputeClusterTransport,
],
]
] = "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
)Instantiates the hypercompute cluster async client.
| Parameters | |
|---|---|
| Name | Description |
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,HypercomputeClusterTransport,Callable[..., HypercomputeClusterTransport]]]
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 HypercomputeClusterTransport 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 |
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 |
| Exceptions | |
|---|---|
| Type | Description |
google.auth.exceptions.MutualTlsChannelError |
If mutual TLS transport creation failed for any reason. |
bucket_path
bucket_path(project: str, bucket: str) -> strReturns a fully-qualified bucket string.
cancel_operation
cancel_operation(
request: typing.Optional[
google.longrunning.operations_pb2.CancelOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> NoneStarts 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 | |
|---|---|
| Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
cluster_path
cluster_path(project: str, location: str, cluster: str) -> strReturns a fully-qualified cluster string.
common_billing_account_path
common_billing_account_path(billing_account: str) -> strReturns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str) -> strReturns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str) -> strReturns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str) -> strReturns a fully-qualified organization string.
common_project_path
common_project_path(project: str) -> strReturns a fully-qualified project string.
compute_instance_path
compute_instance_path(project: str, zone: str, instance: str) -> strReturns a fully-qualified compute_instance string.
create_cluster
create_cluster(
request: typing.Optional[
typing.Union[
google.cloud.hypercomputecluster_v1beta.types.hypercompute_cluster.CreateClusterRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
cluster: typing.Optional[
google.cloud.hypercomputecluster_v1beta.types.hypercompute_cluster.Cluster
] = None,
cluster_id: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperationCreates a new Cluster in a given project and location.
# 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 hypercomputecluster_v1beta
async def sample_create_cluster():
# Create a client
client = hypercomputecluster_v1beta.HypercomputeClusterAsyncClient()
# Initialize request argument(s)
request = hypercomputecluster_v1beta.CreateClusterRequest(
parent="parent_value",
cluster_id="cluster_id_value",
)
# 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 | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.hypercomputecluster_v1beta.types.CreateClusterRequest, dict]]
The request object. Request message for CreateCluster. |
parent |
Required. Parent location in which the cluster should be created, in the format |
cluster |
Cluster
Required. Cluster to create. This corresponds to the |
cluster_id |
Required. ID of the cluster to create. Must conform to |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
| Returns | |
|---|---|
| Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be Cluster A collection of virtual machines and connected resources forming a high-performance computing cluster capable of running large-scale, tightly coupled workloads. A cluster combines a set a compute resources that perform computations, storage resources that contain inputs and store outputs, an orchestrator that is responsible for assigning jobs to compute resources, and network resources that connect everything together. |
delete_cluster
delete_cluster(
request: typing.Optional[
typing.Union[
google.cloud.hypercomputecluster_v1beta.types.hypercompute_cluster.DeleteClusterRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperationDeletes a single Cluster.
# 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 hypercomputecluster_v1beta
async def sample_delete_cluster():
# Create a client
client = hypercomputecluster_v1beta.HypercomputeClusterAsyncClient()
# Initialize request argument(s)
request = hypercomputecluster_v1beta.DeleteClusterRequest(
name="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 | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.hypercomputecluster_v1beta.types.DeleteClusterRequest, dict]]
The request object. Request message for DeleteCluster. |
name |
Required. Name of the cluster to delete, in the format |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
| Returns | |
|---|---|
| Type | Description |
google.api_core.operation_async.AsyncOperation |
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); } |
delete_operation
delete_operation(
request: typing.Optional[
google.longrunning.operations_pb2.DeleteOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> NoneDeletes 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 | |
|---|---|
| Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
disk_type_path
disk_type_path(project: str, zone: str, disk_type: str) -> strReturns a fully-qualified disk_type string.
file_instance_path
file_instance_path(project: str, location: str, instance: str) -> strReturns a fully-qualified file_instance string.
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)Creates an instance of this client using the provided credentials file.
| Parameter | |
|---|---|
| Name | Description |
filename |
str
The path to the service account private key json file. |
| Returns | |
|---|---|
| Type | Description |
HypercomputeClusterAsyncClient |
The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)Creates an instance of this client using the provided credentials info.
| Parameter | |
|---|---|
| Name | Description |
info |
dict
The service account private key info. |
| Returns | |
|---|---|
| Type | Description |
HypercomputeClusterAsyncClient |
The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)Creates an instance of this client using the provided credentials file.
| Parameter | |
|---|---|
| Name | Description |
filename |
str
The path to the service account private key json file. |
| Returns | |
|---|---|
| Type | Description |
HypercomputeClusterAsyncClient |
The constructed client. |
get_cluster
get_cluster(
request: typing.Optional[
typing.Union[
google.cloud.hypercomputecluster_v1beta.types.hypercompute_cluster.GetClusterRequest,
dict,
]
] = None,
*,
name: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.hypercomputecluster_v1beta.types.hypercompute_cluster.ClusterGets details of a single Cluster.
# 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 hypercomputecluster_v1beta
async def sample_get_cluster():
# Create a client
client = hypercomputecluster_v1beta.HypercomputeClusterAsyncClient()
# Initialize request argument(s)
request = hypercomputecluster_v1beta.GetClusterRequest(
name="name_value",
)
# Make the request
response = await client.get_cluster(request=request)
# Handle the response
print(response)
| Parameters | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.hypercomputecluster_v1beta.types.GetClusterRequest, dict]]
The request object. Request message for GetCluster. |
name |
Required. Name of the cluster to retrieve, in the format |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
| Returns | |
|---|---|
| Type | Description |
google.cloud.hypercomputecluster_v1beta.types.Cluster |
A collection of virtual machines and connected resources forming a high-performance computing cluster capable of running large-scale, tightly coupled workloads. A cluster combines a set a compute resources that perform computations, storage resources that contain inputs and store outputs, an orchestrator that is responsible for assigning jobs to compute resources, and network resources that connect everything together. |
get_location
get_location(
request: typing.Optional[
google.cloud.location.locations_pb2.GetLocationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.location.locations_pb2.LocationGets information about a location.
| Parameters | |
|---|---|
| Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
| Returns | |
|---|---|
| Type | Description |
|
Location object. |
get_mtls_endpoint_and_cert_source
get_mtls_endpoint_and_cert_source(
client_options: typing.Optional[
google.api_core.client_options.ClientOptions
] = None,
)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.
| Parameter | |
|---|---|
| Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
| Exceptions | |
|---|---|
| Type | Description |
google.auth.exceptions.MutualTLSChannelError |
If any errors happen. |
| Returns | |
|---|---|
| Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] |
returns the API endpoint and the client cert source to use. |
get_operation
get_operation(
request: typing.Optional[
google.longrunning.operations_pb2.GetOperationRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.OperationGets the latest state of a long-running operation.
| Parameters | |
|---|---|
| Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
| Returns | |
|---|---|
| Type | Description |
|
An Operation object. |
get_transport_class
get_transport_class(
label: typing.Optional[str] = None,
) -> typing.Type[
google.cloud.hypercomputecluster_v1beta.services.hypercompute_cluster.transports.base.HypercomputeClusterTransport
]Returns an appropriate transport class.
| Parameter | |
|---|---|
| Name | Description |
label |
typing.Optional[str]
The name of the desired transport. If none is provided, then the first transport in the registry is used. |
list_clusters
list_clusters(
request: typing.Optional[
typing.Union[
google.cloud.hypercomputecluster_v1beta.types.hypercompute_cluster.ListClustersRequest,
dict,
]
] = None,
*,
parent: typing.Optional[str] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
google.cloud.hypercomputecluster_v1beta.services.hypercompute_cluster.pagers.ListClustersAsyncPager
)Lists Clusters in a given project and location.
# 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 hypercomputecluster_v1beta
async def sample_list_clusters():
# Create a client
client = hypercomputecluster_v1beta.HypercomputeClusterAsyncClient()
# Initialize request argument(s)
request = hypercomputecluster_v1beta.ListClustersRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_clusters(request=request)
# Handle the response
async for response in page_result:
print(response)
| Parameters | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.hypercomputecluster_v1beta.types.ListClustersRequest, dict]]
The request object. Request message for ListClusters. |
parent |
Required. Parent location of the clusters to list, in the format |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
| Returns | |
|---|---|
| Type | Description |
google.cloud.hypercomputecluster_v1beta.services.hypercompute_cluster.pagers.ListClustersAsyncPager |
Response message for ListClusters. Iterating over this object will yield results and resolve additional pages automatically. |
list_locations
list_locations(
request: typing.Optional[
google.cloud.location.locations_pb2.ListLocationsRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponseLists information about the supported locations for this service.
| Parameters | |
|---|---|
| Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
| Returns | |
|---|---|
| Type | Description |
|
Response message for ListLocations method. |
list_operations
list_operations(
request: typing.Optional[
google.longrunning.operations_pb2.ListOperationsRequest
] = None,
*,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponseLists operations that match the specified filter in the request.
| Parameters | |
|---|---|
| Name | Description |
request |
The request object. Request message for |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
| Returns | |
|---|---|
| Type | Description |
|
Response message for ListOperations method. |
lustre_instance_path
lustre_instance_path(project: str, location: str, instance: str) -> strReturns a fully-qualified lustre_instance string.
network_path
network_path(project: str, network: str) -> strReturns a fully-qualified network string.
parse_bucket_path
parse_bucket_path(path: str) -> typing.Dict[str, str]Parses a bucket path into its component segments.
parse_cluster_path
parse_cluster_path(path: str) -> typing.Dict[str, str]Parses a cluster path into its component segments.
parse_common_billing_account_path
parse_common_billing_account_path(path: str) -> typing.Dict[str, str]Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str) -> typing.Dict[str, str]Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str) -> typing.Dict[str, str]Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str) -> typing.Dict[str, str]Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str) -> typing.Dict[str, str]Parse a project path into its component segments.
parse_compute_instance_path
parse_compute_instance_path(path: str) -> typing.Dict[str, str]Parses a compute_instance path into its component segments.
parse_disk_type_path
parse_disk_type_path(path: str) -> typing.Dict[str, str]Parses a disk_type path into its component segments.
parse_file_instance_path
parse_file_instance_path(path: str) -> typing.Dict[str, str]Parses a file_instance path into its component segments.
parse_lustre_instance_path
parse_lustre_instance_path(path: str) -> typing.Dict[str, str]Parses a lustre_instance path into its component segments.
parse_network_path
parse_network_path(path: str) -> typing.Dict[str, str]Parses a network path into its component segments.
parse_reservation_path
parse_reservation_path(path: str) -> typing.Dict[str, str]Parses a reservation path into its component segments.
parse_subnetwork_path
parse_subnetwork_path(path: str) -> typing.Dict[str, str]Parses a subnetwork path into its component segments.
reservation_path
reservation_path(project: str, zone: str, reservation: str) -> strReturns a fully-qualified reservation string.
subnetwork_path
subnetwork_path(project: str, region: str, subnetwork: str) -> strReturns a fully-qualified subnetwork string.
update_cluster
update_cluster(
request: typing.Optional[
typing.Union[
google.cloud.hypercomputecluster_v1beta.types.hypercompute_cluster.UpdateClusterRequest,
dict,
]
] = None,
*,
cluster: typing.Optional[
google.cloud.hypercomputecluster_v1beta.types.hypercompute_cluster.Cluster
] = None,
update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
retry: typing.Optional[
typing.Union[
google.api_core.retry.retry_unary_async.AsyncRetry,
google.api_core.gapic_v1.method._MethodDefault,
]
] = _MethodDefault._DEFAULT_VALUE,
timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation_async.AsyncOperationUpdates the parameters of a single Cluster.
# 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 hypercomputecluster_v1beta
async def sample_update_cluster():
# Create a client
client = hypercomputecluster_v1beta.HypercomputeClusterAsyncClient()
# Initialize request argument(s)
request = hypercomputecluster_v1beta.UpdateClusterRequest(
)
# 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 | |
|---|---|
| Name | Description |
request |
Optional[Union[google.cloud.hypercomputecluster_v1beta.types.UpdateClusterRequest, dict]]
The request object. Request message for UpdateCluster. |
cluster |
Cluster
Required. Cluster to update. This corresponds to the |
update_mask |
Optional. Mask specifying which fields in the cluster to update. All paths must be specified explicitly - wildcards are not supported. At least one path must be provided. This corresponds to the |
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, Union[str, bytes]]]
Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type |
| Returns | |
|---|---|
| Type | Description |
google.api_core.operation_async.AsyncOperation |
An object representing a long-running operation. The result type for the operation will be Cluster A collection of virtual machines and connected resources forming a high-performance computing cluster capable of running large-scale, tightly coupled workloads. A cluster combines a set a compute resources that perform computations, storage resources that contain inputs and store outputs, an orchestrator that is responsible for assigning jobs to compute resources, and network resources that connect everything together. |