Class AutoscalingPolicyServiceClient (1.1.1)

Version 1.1.1

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AutoscalingPolicyServiceClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

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

Inheritance

builtins.object > google.cloud.dataproc_v1beta2.gapic.autoscaling_policy_service_client.AutoscalingPolicyServiceClient > AutoscalingPolicyServiceClient

Methods

AutoscalingPolicyServiceClient

AutoscalingPolicyServiceClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Constructor.

Parameters

Name	Description
channel	grpc.Channel DEPRECATED. A Channel instance through which to make calls. This argument is mutually exclusive with credentials; providing both will raise an exception.
credentials	google.auth.credentials.Credentials The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to transport; doing so will raise an exception.
client_config	dict DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is 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.
client_options	Union[dict, google.api_core.client_options.ClientOptions] Client options used to set user options on the client. API Endpoint should be set through client_options.

autoscaling_policy_path

autoscaling_policy_path(project, location, autoscaling_policy)

Return a fully-qualified autoscaling_policy string.

create_autoscaling_policy

create_autoscaling_policy(parent, policy, retry=<object object>, timeout=<object object>, metadata=None)

Creates new autoscaling policy.

.. rubric:: Example

from google.cloud import dataproc_v1beta2

client = dataproc_v1beta2.AutoscalingPolicyServiceClient()

parent = client.region_path('[PROJECT]', '[REGION]')

TODO: Initialize policy:

policy = {}

response = client.create_autoscaling_policy(parent, policy)

Parameters

Name	Description
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 has the following format: projects/{project_id}/regions/{region} - For projects.locations.autoscalingPolicies.create, the resource name has the following format: projects/{project_id}/locations/{location}
policy	Union[dict, AutoscalingPolicy] Required. The autoscaling policy to create. If a dict is provided, it must be of the same form as the protobuf message AutoscalingPolicy
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

delete_autoscaling_policy

delete_autoscaling_policy(name, retry=<object object>, timeout=<object object>, metadata=None)

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

.. rubric:: Example

from google.cloud import dataproc_v1beta2

client = dataproc_v1beta2.AutoscalingPolicyServiceClient()

TODO: Initialize name:

name = ''

client.delete_autoscaling_policy(name)

Parameters

Name	Description
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}
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

from_service_account_file

from_service_account_file(filename, *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
AutoscalingPolicyServiceClient	The constructed client.

from_service_account_json

from_service_account_json(filename, *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
AutoscalingPolicyServiceClient	The constructed client.

get_autoscaling_policy

get_autoscaling_policy(name, retry=<object object>, timeout=<object object>, metadata=None)

Retrieves autoscaling policy.

.. rubric:: Example

from google.cloud import dataproc_v1beta2

client = dataproc_v1beta2.AutoscalingPolicyServiceClient()

TODO: Initialize name:

name = ''

response = client.get_autoscaling_policy(name)

Parameters

Name	Description
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}
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

list_autoscaling_policies

list_autoscaling_policies(parent, page_size=None, retry=<object object>, timeout=<object object>, metadata=None)

Lists autoscaling policies in the project.

.. rubric:: Example

from google.cloud import dataproc_v1beta2

client = dataproc_v1beta2.AutoscalingPolicyServiceClient()

parent = client.region_path('[PROJECT]', '[REGION]')

Iterate over all results

for element in client.list_autoscaling_policies(parent): ... # process element ... pass

Alternatively:

Iterate over results one page at a time

for page in client.list_autoscaling_policies(parent).pages: ... for element in page: ... # process element ... pass

Parameters

Name	Description
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}
page_size	int The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page.
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.

location_path

location_path(project, location)

Return a fully-qualified location string.

region_path

region_path(project, region)

Return a fully-qualified region string.

update_autoscaling_policy

update_autoscaling_policy(policy, retry=<object object>, timeout=<object object>, metadata=None)

Updates (replaces) autoscaling policy.

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

.. rubric:: Example

from google.cloud import dataproc_v1beta2

client = dataproc_v1beta2.AutoscalingPolicyServiceClient()

TODO: Initialize policy:

policy = {}

response = client.update_autoscaling_policy(policy)

Parameters

Name	Description
policy	Union[dict, AutoscalingPolicy] Required. The updated autoscaling policy. If a dict is provided, it must be of the same form as the protobuf message AutoscalingPolicy
retry	Optional[google.api_core.retry.Retry] A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.
timeout	Optional[float] The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadata	Optional[Sequence[Tuple[str, str]]] Additional metadata that is provided to the method.

Exceptions

Type	Description
google.api_core.exceptions.GoogleAPICallError	If the request failed for any reason.
google.api_core.exceptions.RetryError	If the request failed due to a retryable error and retry attempts failed.
ValueError	If the parameters are invalid.