Class AutoscalingPolicyServiceClient (4.0.3)

AutoscalingPolicyServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dataproc_v1.services.autoscaling_policy_service.transports.base.AutoscalingPolicyServiceTransport]] = None, client_options: 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>)

The API interface for managing autoscaling policies in the Dataproc API.

Inheritance

builtins.object > AutoscalingPolicyServiceClient

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
AutoscalingPolicyServiceTransportThe transport used by the client instance.

Methods

AutoscalingPolicyServiceClient

AutoscalingPolicyServiceClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dataproc_v1.services.autoscaling_policy_service.transports.base.AutoscalingPolicyServiceTransport]] = None, client_options: 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>)

Instantiates the autoscaling policy service client.

Parameters
NameDescription
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 Union[str, AutoscalingPolicyServiceTransport]

The transport to use. If set to None, a transport is chosen automatically.

client_options google.api_core.client_options.ClientOptions

Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS 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.

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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

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!

autoscaling_policy_path

autoscaling_policy_path(project: str, location: str, autoscaling_policy: str)

Returns a fully-qualified autoscaling_policy string.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_autoscaling_policy

create_autoscaling_policy(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.CreateAutoscalingPolicyRequest, dict]] = None, *, parent: Optional[str] = None, policy: Optional[google.cloud.dataproc_v1.types.autoscaling_policies.AutoscalingPolicy] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates new autoscaling policy.

from google.cloud import dataproc_v1

def sample_create_autoscaling_policy():
    # Create a client
    client = dataproc_v1.AutoscalingPolicyServiceClient()

    # Initialize request argument(s)
    policy = dataproc_v1.AutoscalingPolicy()
    policy.basic_algorithm.yarn_config.scale_up_factor = 0.1578
    policy.basic_algorithm.yarn_config.scale_down_factor = 0.1789
    policy.worker_config.max_instances = 1389

    request = dataproc_v1.CreateAutoscalingPolicyRequest(
        parent="parent_value",
        policy=policy,
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dataproc_v1.types.CreateAutoscalingPolicyRequest, dict]

The request object. A request to create an autoscaling policy.

parent str

Required. The "resource name" of the region or location, as described in https://cloud.google.com/apis/design/resource_names. - For projects.regions.autoscalingPolicies.create, the resource name of the region has the following format: projects/{project_id}/regions/{region} - For projects.locations.autoscalingPolicies.create, the resource name of the location has the following format: projects/{project_id}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.

policy google.cloud.dataproc_v1.types.AutoscalingPolicy

Required. The autoscaling policy to create. This corresponds to the policy 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
TypeDescription
google.cloud.dataproc_v1.types.AutoscalingPolicyDescribes an autoscaling policy for Dataproc cluster autoscaler.

delete_autoscaling_policy

delete_autoscaling_policy(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.DeleteAutoscalingPolicyRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes an autoscaling policy. It is an error to delete an autoscaling policy that is in use by one or more clusters.

from google.cloud import dataproc_v1

def sample_delete_autoscaling_policy():
    # Create a client
    client = dataproc_v1.AutoscalingPolicyServiceClient()

    # Initialize request argument(s)
    request = dataproc_v1.DeleteAutoscalingPolicyRequest(
        name="name_value",
    )

    # Make the request
    client.delete_autoscaling_policy(request=request)
Parameters
NameDescription
request Union[google.cloud.dataproc_v1.types.DeleteAutoscalingPolicyRequest, dict]

The request object. A request to delete an autoscaling policy. Autoscaling policies in use by one or more clusters will not be deleted.

name str

Required. The "resource name" of the autoscaling policy, as described in https://cloud.google.com/apis/design/resource_names. - For projects.regions.autoscalingPolicies.delete, the resource name of the policy has the following format: projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id} - For projects.locations.autoscalingPolicies.delete, the resource name of the policy has the following format: projects/{project_id}/locations/{location}/autoscalingPolicies/{policy_id} This corresponds to the 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.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
AutoscalingPolicyServiceClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
AutoscalingPolicyServiceClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
AutoscalingPolicyServiceClientThe constructed client.

get_autoscaling_policy

get_autoscaling_policy(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.GetAutoscalingPolicyRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Retrieves autoscaling policy.

from google.cloud import dataproc_v1

def sample_get_autoscaling_policy():
    # Create a client
    client = dataproc_v1.AutoscalingPolicyServiceClient()

    # Initialize request argument(s)
    request = dataproc_v1.GetAutoscalingPolicyRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dataproc_v1.types.GetAutoscalingPolicyRequest, dict]

The request object. A request to fetch an autoscaling policy.

name str

Required. The "resource name" of the autoscaling policy, as described in https://cloud.google.com/apis/design/resource_names. - For projects.regions.autoscalingPolicies.get, the resource name of the policy has the following format: projects/{project_id}/regions/{region}/autoscalingPolicies/{policy_id} - For projects.locations.autoscalingPolicies.get, the resource name of the policy has the following format: projects/{project_id}/locations/{location}/autoscalingPolicies/{policy_id} This corresponds to the 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
TypeDescription
google.cloud.dataproc_v1.types.AutoscalingPolicyDescribes an autoscaling policy for Dataproc cluster autoscaler.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: 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 variabel 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
NameDescription
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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

list_autoscaling_policies

list_autoscaling_policies(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.ListAutoscalingPoliciesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Lists autoscaling policies in the project.

from google.cloud import dataproc_v1

def sample_list_autoscaling_policies():
    # Create a client
    client = dataproc_v1.AutoscalingPolicyServiceClient()

    # Initialize request argument(s)
    request = dataproc_v1.ListAutoscalingPoliciesRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.dataproc_v1.types.ListAutoscalingPoliciesRequest, dict]

The request object. A request to list autoscaling policies in a project.

parent str

Required. The "resource name" of the region or location, as described in https://cloud.google.com/apis/design/resource_names. - For projects.regions.autoscalingPolicies.list, the resource name of the region has the following format: projects/{project_id}/regions/{region} - For projects.locations.autoscalingPolicies.list, the resource name of the location has the following format: projects/{project_id}/locations/{location} This corresponds to the parent 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
TypeDescription
google.cloud.dataproc_v1.services.autoscaling_policy_service.pagers.ListAutoscalingPoliciesPagerA response to a request to list autoscaling policies in a project. Iterating over this object will yield results and resolve additional pages automatically.

parse_autoscaling_policy_path

parse_autoscaling_policy_path(path: str)

Parses a autoscaling_policy path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

update_autoscaling_policy

update_autoscaling_policy(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.UpdateAutoscalingPolicyRequest, dict]] = None, *, policy: Optional[google.cloud.dataproc_v1.types.autoscaling_policies.AutoscalingPolicy] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates (replaces) autoscaling policy.

Disabled check for update_mask, because all updates will be full replacements.

from google.cloud import dataproc_v1

def sample_update_autoscaling_policy():
    # Create a client
    client = dataproc_v1.AutoscalingPolicyServiceClient()

    # Initialize request argument(s)
    policy = dataproc_v1.AutoscalingPolicy()
    policy.basic_algorithm.yarn_config.scale_up_factor = 0.1578
    policy.basic_algorithm.yarn_config.scale_down_factor = 0.1789
    policy.worker_config.max_instances = 1389

    request = dataproc_v1.UpdateAutoscalingPolicyRequest(
        policy=policy,
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dataproc_v1.types.UpdateAutoscalingPolicyRequest, dict]

The request object. A request to update an autoscaling policy.

policy google.cloud.dataproc_v1.types.AutoscalingPolicy

Required. The updated autoscaling policy. This corresponds to the policy 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
TypeDescription
google.cloud.dataproc_v1.types.AutoscalingPolicyDescribes an autoscaling policy for Dataproc cluster autoscaler.