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.

AutoscalingPolicyService

class google.cloud.dataproc_v1.services.autoscaling_policy_service.AutoscalingPolicyServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataproc_v1.services.autoscaling_policy_service.transports.base.AutoscalingPolicyServiceTransport, typing.Callable[[...], google.cloud.dataproc_v1.services.autoscaling_policy_service.transports.base.AutoscalingPolicyServiceTransport]]] = '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 API interface for managing autoscaling policies in the Dataproc API.

Instantiates the autoscaling policy service 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,AutoscalingPolicyServiceTransport,Callable[..., AutoscalingPolicyServiceTransport]]]) – 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 AutoscalingPolicyServiceTransport 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

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

Returns a fully-qualified autoscaling_policy string.

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 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_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: 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.autoscaling_policies.AutoscalingPolicy[source]

Creates new autoscaling policy.

# 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_autoscaling_policy():
    # Create a client
    client = dataproc_v1.AutoscalingPolicyServiceAsyncClient()

    # 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 = await client.create_autoscaling_policy(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_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 an autoscaling policy for Dataproc cluster autoscaler.

Return type

google.cloud.dataproc_v1.types.AutoscalingPolicy

async delete_autoscaling_policy(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.DeleteAutoscalingPolicyRequest, dict]] = None, *, 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]] = ()) → None[source]

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

# 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_autoscaling_policy():
    # Create a client
    client = dataproc_v1.AutoscalingPolicyServiceAsyncClient()

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

    # Make the request
    await client.delete_autoscaling_policy(request=request)
Parameters

  • request (Optional[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_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.

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

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

AutoscalingPolicyServiceAsyncClient

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

AutoscalingPolicyServiceAsyncClient

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

AutoscalingPolicyServiceAsyncClient

async get_autoscaling_policy(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.GetAutoscalingPolicyRequest, dict]] = None, *, 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.autoscaling_policies.AutoscalingPolicy[source]

Retrieves autoscaling policy.

# 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_autoscaling_policy():
    # Create a client
    client = dataproc_v1.AutoscalingPolicyServiceAsyncClient()

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_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 an autoscaling policy for Dataproc cluster autoscaler.

Return type

google.cloud.dataproc_v1.types.AutoscalingPolicy

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.autoscaling_policy_service.transports.base.AutoscalingPolicyServiceTransport]

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_autoscaling_policies(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.ListAutoscalingPoliciesRequest, dict]] = None, *, parent: 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.autoscaling_policy_service.pagers.ListAutoscalingPoliciesAsyncPager[source]

Lists autoscaling policies in the 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_list_autoscaling_policies():
    # Create a client
    client = dataproc_v1.AutoscalingPolicyServiceAsyncClient()

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

  • request (Optional[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_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

A response to a request to list autoscaling policies in a project. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.dataproc_v1.services.autoscaling_policy_service.pagers.ListAutoscalingPoliciesAsyncPager

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 parse_autoscaling_policy_path(path: str) → Dict[str, str]

Parses a autoscaling_policy 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.

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 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.autoscaling_policy_service.transports.base.AutoscalingPolicyServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client instance.

Return type

AutoscalingPolicyServiceTransport

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_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: 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.autoscaling_policies.AutoscalingPolicy[source]

Updates (replaces) autoscaling policy.

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

# 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_autoscaling_policy():
    # Create a client
    client = dataproc_v1.AutoscalingPolicyServiceAsyncClient()

    # 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 = await client.update_autoscaling_policy(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_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 an autoscaling policy for Dataproc cluster autoscaler.

Return type

google.cloud.dataproc_v1.types.AutoscalingPolicy

class google.cloud.dataproc_v1.services.autoscaling_policy_service.AutoscalingPolicyServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataproc_v1.services.autoscaling_policy_service.transports.base.AutoscalingPolicyServiceTransport, typing.Callable[[...], google.cloud.dataproc_v1.services.autoscaling_policy_service.transports.base.AutoscalingPolicyServiceTransport]]] = 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 API interface for managing autoscaling policies in the Dataproc API.

Instantiates the autoscaling policy service 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,AutoscalingPolicyServiceTransport,Callable[..., AutoscalingPolicyServiceTransport]]]) – 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 AutoscalingPolicyServiceTransport 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

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

Returns a fully-qualified autoscaling_policy string.

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 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_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: 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.autoscaling_policies.AutoscalingPolicy[source]

Creates new autoscaling policy.

# 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_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

  • 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

Describes an autoscaling policy for Dataproc cluster autoscaler.

Return type

google.cloud.dataproc_v1.types.AutoscalingPolicy

delete_autoscaling_policy(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.DeleteAutoscalingPolicyRequest, dict]] = None, *, 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]] = ()) → None[source]

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

# 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_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

  • 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.

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

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

AutoscalingPolicyServiceClient

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

AutoscalingPolicyServiceClient

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

AutoscalingPolicyServiceClient

get_autoscaling_policy(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.GetAutoscalingPolicyRequest, dict]] = None, *, 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.autoscaling_policies.AutoscalingPolicy[source]

Retrieves autoscaling policy.

# 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_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

  • 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

Describes an autoscaling policy for Dataproc cluster autoscaler.

Return type

google.cloud.dataproc_v1.types.AutoscalingPolicy

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_autoscaling_policies(request: Optional[Union[google.cloud.dataproc_v1.types.autoscaling_policies.ListAutoscalingPoliciesRequest, dict]] = None, *, parent: 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.autoscaling_policy_service.pagers.ListAutoscalingPoliciesPager[source]

Lists autoscaling policies in the 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_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

  • 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

A response to a request to list autoscaling policies in a project. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.dataproc_v1.services.autoscaling_policy_service.pagers.ListAutoscalingPoliciesPager

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 parse_autoscaling_policy_path(path: str) → Dict[str, str][source]

Parses a autoscaling_policy 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.

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

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.autoscaling_policy_service.transports.base.AutoscalingPolicyServiceTransport

Returns the transport used by the client instance.

Returns

The transport used by the client

instance.

Return type

AutoscalingPolicyServiceTransport

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_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: 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.autoscaling_policies.AutoscalingPolicy[source]

Updates (replaces) autoscaling policy.

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

# 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_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
Returns

Describes an autoscaling policy for Dataproc cluster autoscaler.

Return type

google.cloud.dataproc_v1.types.AutoscalingPolicy

class google.cloud.dataproc_v1.services.autoscaling_policy_service.pagers.ListAutoscalingPoliciesAsyncPager(method: Callable[[...], Awaitable[google.cloud.dataproc_v1.types.autoscaling_policies.ListAutoscalingPoliciesResponse]], request: google.cloud.dataproc_v1.types.autoscaling_policies.ListAutoscalingPoliciesRequest, response: google.cloud.dataproc_v1.types.autoscaling_policies.ListAutoscalingPoliciesResponse, *, 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_autoscaling_policies requests.

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

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

All the usual google.cloud.dataproc_v1.types.ListAutoscalingPoliciesResponse 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.autoscaling_policy_service.pagers.ListAutoscalingPoliciesPager(method: Callable[[...], google.cloud.dataproc_v1.types.autoscaling_policies.ListAutoscalingPoliciesResponse], request: google.cloud.dataproc_v1.types.autoscaling_policies.ListAutoscalingPoliciesRequest, response: google.cloud.dataproc_v1.types.autoscaling_policies.ListAutoscalingPoliciesResponse, *, 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_autoscaling_policies requests.

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

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

All the usual google.cloud.dataproc_v1.types.ListAutoscalingPoliciesResponse 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