WorkflowTemplateService¶
- class google.cloud.dataproc_v1.services.workflow_template_service.WorkflowTemplateServiceAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataproc_v1.services.workflow_template_service.transports.base.WorkflowTemplateServiceTransport, typing.Callable[[...], google.cloud.dataproc_v1.services.workflow_template_service.transports.base.WorkflowTemplateServiceTransport]]] = '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 Workflow Templates in the Dataproc API.
Instantiates the workflow template 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,WorkflowTemplateServiceTransport,Callable[..., WorkflowTemplateServiceTransport]]]) – 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 WorkflowTemplateServiceTransport 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 whentransport
is not explicitly provided. Only if this property is not set andtransport
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 thatapi_endpoint
property still takes precedence; anduniverse_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
- 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_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.
- async create_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.CreateWorkflowTemplateRequest, dict]] = None, *, parent: Optional[str] = None, template: Optional[google.cloud.dataproc_v1.types.workflow_templates.WorkflowTemplate] = 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.workflow_templates.WorkflowTemplate [source]¶
Creates new workflow template.
# 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_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceAsyncClient() # Initialize request argument(s) template = dataproc_v1.WorkflowTemplate() template.id = "id_value" template.placement.managed_cluster.cluster_name = "cluster_name_value" template.jobs.hadoop_job.main_jar_file_uri = "main_jar_file_uri_value" template.jobs.step_id = "step_id_value" request = dataproc_v1.CreateWorkflowTemplateRequest( parent="parent_value", template=template, ) # Make the request response = await client.create_workflow_template(request=request) # Handle the response print(response)
- Parameters
request (Optional[Union[google.cloud.dataproc_v1.types.CreateWorkflowTemplateRequest, dict]]) – The request object. A request to create a workflow template.
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.workflowTemplates.create
, the resource name of the region has the following format:projects/{project_id}/regions/{region}
For
projects.locations.workflowTemplates.create
, the resource name of the location has the following format:projects/{project_id}/locations/{location}
This corresponds to the
parent
field on therequest
instance; ifrequest
is provided, this should not be set.template (
google.cloud.dataproc_v1.types.WorkflowTemplate
) –Required. The Dataproc workflow template to create.
This corresponds to the
template
field on therequest
instance; ifrequest
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 Dataproc workflow template resource.
- Return type
- static crypto_key_path(project: str, location: str, key_ring: str, crypto_key: str) str ¶
Returns a fully-qualified crypto_key string.
- async delete_operation(request: Optional[google.longrunning.operations_pb2.DeleteOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) None [source]¶
Deletes a long-running operation.
This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.
- Parameters
request (
DeleteOperationRequest
) – The request object. Request message for DeleteOperation method.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
None
- async delete_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.DeleteWorkflowTemplateRequest, 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 a workflow template. It does not cancel in-progress workflows.
# 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_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceAsyncClient() # Initialize request argument(s) request = dataproc_v1.DeleteWorkflowTemplateRequest( name="name_value", ) # Make the request await client.delete_workflow_template(request=request)
- Parameters
request (Optional[Union[google.cloud.dataproc_v1.types.DeleteWorkflowTemplateRequest, dict]]) – The request object. A request to delete a workflow template. Currently started workflows will remain running.
name (
str
) –Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names.
For
projects.regions.workflowTemplates.delete
, the resource name of the template has the following format:projects/{project_id}/regions/{region}/workflowTemplates/{template_id}
For
projects.locations.workflowTemplates.instantiate
, the resource name of the template has the following format:projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
This corresponds to the
name
field on therequest
instance; ifrequest
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.
- 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
- 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
- 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
- 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 ofbindings
. Abinding
binds one or moremembers
to a singlerole
. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). Arole
is a named list of permissions (defined by IAM or configured by users). Abinding
can optionally specify acondition
, 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
- 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.workflow_template_service.transports.base.WorkflowTemplateServiceTransport] ¶
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 get_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.GetWorkflowTemplateRequest, 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.workflow_templates.WorkflowTemplate [source]¶
Retrieves the latest workflow template.
Can retrieve previously instantiated template by specifying optional version parameter.
# 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_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceAsyncClient() # Initialize request argument(s) request = dataproc_v1.GetWorkflowTemplateRequest( name="name_value", ) # Make the request response = await client.get_workflow_template(request=request) # Handle the response print(response)
- Parameters
request (Optional[Union[google.cloud.dataproc_v1.types.GetWorkflowTemplateRequest, dict]]) – The request object. A request to fetch a workflow template.
name (
str
) –Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names.
For
projects.regions.workflowTemplates.get
, the resource name of the template has the following format:projects/{project_id}/regions/{region}/workflowTemplates/{template_id}
For
projects.locations.workflowTemplates.get
, the resource name of the template has the following format:projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
This corresponds to the
name
field on therequest
instance; ifrequest
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 Dataproc workflow template resource.
- Return type
- async instantiate_inline_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.InstantiateInlineWorkflowTemplateRequest, dict]] = None, *, parent: Optional[str] = None, template: Optional[google.cloud.dataproc_v1.types.workflow_templates.WorkflowTemplate] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.api_core.operation_async.AsyncOperation [source]¶
Instantiates a template and begins execution.
This method is equivalent to executing the sequence [CreateWorkflowTemplate][google.cloud.dataproc.v1.WorkflowTemplateService.CreateWorkflowTemplate], [InstantiateWorkflowTemplate][google.cloud.dataproc.v1.WorkflowTemplateService.InstantiateWorkflowTemplate], [DeleteWorkflowTemplate][google.cloud.dataproc.v1.WorkflowTemplateService.DeleteWorkflowTemplate].
The returned Operation can be used to track execution of workflow by polling [operations.get][google.longrunning.Operations.GetOperation]. The Operation will complete when entire workflow is finished.
The running workflow can be aborted via [operations.cancel][google.longrunning.Operations.CancelOperation]. This will cause any inflight jobs to be cancelled and workflow-owned clusters to be deleted.
The [Operation.metadata][google.longrunning.Operation.metadata] will be WorkflowMetadata. Also see Using WorkflowMetadata.
On successful completion, [Operation.response][google.longrunning.Operation.response] will be [Empty][google.protobuf.Empty].
# 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_instantiate_inline_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceAsyncClient() # Initialize request argument(s) template = dataproc_v1.WorkflowTemplate() template.id = "id_value" template.placement.managed_cluster.cluster_name = "cluster_name_value" template.jobs.hadoop_job.main_jar_file_uri = "main_jar_file_uri_value" template.jobs.step_id = "step_id_value" request = dataproc_v1.InstantiateInlineWorkflowTemplateRequest( parent="parent_value", template=template, ) # Make the request operation = client.instantiate_inline_workflow_template(request=request) print("Waiting for operation to complete...") response = (await operation).result() # Handle the response print(response)
- Parameters
request (Optional[Union[google.cloud.dataproc_v1.types.InstantiateInlineWorkflowTemplateRequest, dict]]) – The request object. A request to instantiate an inline workflow template.
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.workflowTemplates,instantiateinline
, the resource name of the region has the following format:projects/{project_id}/regions/{region}
For
projects.locations.workflowTemplates.instantiateinline
, the resource name of the location has the following format:projects/{project_id}/locations/{location}
This corresponds to the
parent
field on therequest
instance; ifrequest
is provided, this should not be set.template (
google.cloud.dataproc_v1.types.WorkflowTemplate
) –Required. The workflow template to instantiate.
This corresponds to the
template
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
An object representing a long-running operation.
- The result type for the operation will be
google.protobuf.empty_pb2.Empty
A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:
- service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
}
- The result type for the operation will be
- Return type
- async instantiate_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.InstantiateWorkflowTemplateRequest, dict]] = None, *, name: Optional[str] = None, parameters: Optional[MutableMapping[str, str]] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.api_core.operation_async.AsyncOperation [source]¶
Instantiates a template and begins execution.
The returned Operation can be used to track execution of workflow by polling [operations.get][google.longrunning.Operations.GetOperation]. The Operation will complete when entire workflow is finished.
The running workflow can be aborted via [operations.cancel][google.longrunning.Operations.CancelOperation]. This will cause any inflight jobs to be cancelled and workflow-owned clusters to be deleted.
The [Operation.metadata][google.longrunning.Operation.metadata] will be WorkflowMetadata. Also see Using WorkflowMetadata.
On successful completion, [Operation.response][google.longrunning.Operation.response] will be [Empty][google.protobuf.Empty].
# 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_instantiate_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceAsyncClient() # Initialize request argument(s) request = dataproc_v1.InstantiateWorkflowTemplateRequest( name="name_value", ) # Make the request operation = client.instantiate_workflow_template(request=request) print("Waiting for operation to complete...") response = (await operation).result() # Handle the response print(response)
- Parameters
request (Optional[Union[google.cloud.dataproc_v1.types.InstantiateWorkflowTemplateRequest, dict]]) – The request object. A request to instantiate a workflow template.
name (
str
) –Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names.
For
projects.regions.workflowTemplates.instantiate
, the resource name of the template has the following format:projects/{project_id}/regions/{region}/workflowTemplates/{template_id}
For
projects.locations.workflowTemplates.instantiate
, the resource name of the template has the following format:projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
This corresponds to the
name
field on therequest
instance; ifrequest
is provided, this should not be set.parameters (
MutableMapping[str, str]
) –Optional. Map from parameter names to values that should be used for those parameters. Values may not exceed 1000 characters.
This corresponds to the
parameters
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
An object representing a long-running operation.
- The result type for the operation will be
google.protobuf.empty_pb2.Empty
A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:
- service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
}
- The result type for the operation will be
- Return type
- 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
- async list_workflow_templates(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.ListWorkflowTemplatesRequest, 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.workflow_template_service.pagers.ListWorkflowTemplatesAsyncPager [source]¶
Lists workflows that match the specified filter in the request.
# 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_workflow_templates(): # Create a client client = dataproc_v1.WorkflowTemplateServiceAsyncClient() # Initialize request argument(s) request = dataproc_v1.ListWorkflowTemplatesRequest( parent="parent_value", ) # Make the request page_result = client.list_workflow_templates(request=request) # Handle the response async for response in page_result: print(response)
- Parameters
request (Optional[Union[google.cloud.dataproc_v1.types.ListWorkflowTemplatesRequest, dict]]) – The request object. A request to list workflow templates 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.workflowTemplates,list
, the resource name of the region has the following format:projects/{project_id}/regions/{region}
For
projects.locations.workflowTemplates.list
, the resource name of the location has the following format:projects/{project_id}/locations/{location}
This corresponds to the
parent
field on therequest
instance; ifrequest
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 workflow templates in a project. Iterating over this object will yield results and resolve additional pages automatically.
- Return type
google.cloud.dataproc_v1.services.workflow_template_service.pagers.ListWorkflowTemplatesAsyncPager
- static node_group_path(project: str, region: str, cluster: str, node_group: str) str ¶
Returns a fully-qualified node_group string.
- static parse_common_billing_account_path(path: str) Dict[str, str] ¶
Parse a billing_account path into its component segments.
- static parse_common_folder_path(path: str) Dict[str, str] ¶
Parse a folder path into its component segments.
- static parse_common_location_path(path: str) Dict[str, str] ¶
Parse a location path into its component segments.
- static parse_common_organization_path(path: str) Dict[str, str] ¶
Parse a organization path into its component segments.
- static parse_common_project_path(path: str) Dict[str, str] ¶
Parse a project path into its component segments.
- static parse_crypto_key_path(path: str) Dict[str, str] ¶
Parses a crypto_key path into its component segments.
- static parse_node_group_path(path: str) Dict[str, str] ¶
Parses a node_group path into its component segments.
- static parse_service_path(path: str) Dict[str, str] ¶
Parses a service path into its component segments.
- static parse_workflow_template_path(path: str) Dict[str, str] ¶
Parses a workflow_template path into its component segments.
- static service_path(project: str, location: str, service: str) str ¶
Returns a fully-qualified service string.
- async set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.iam.v1.policy_pb2.Policy [source]¶
Sets the IAM access control policy on the specified function.
Replaces any existing policy.
- Parameters
request (
SetIamPolicyRequest
) – The request object. Request message for SetIamPolicy method.retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A
Policy
is a collection ofbindings
. Abinding
binds one or moremembers
to a singlerole
. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). Arole
is a named list of permissions (defined by IAM or configured by users). Abinding
can optionally specify acondition
, 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.workflow_template_service.transports.base.WorkflowTemplateServiceTransport¶
Returns the transport used by the client instance.
- Returns
The transport used by the client instance.
- Return type
WorkflowTemplateServiceTransport
- property universe_domain: str¶
Return the universe domain used by the client instance.
- Returns
- The universe domain used
by the client instance.
- Return type
- async update_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.UpdateWorkflowTemplateRequest, dict]] = None, *, template: Optional[google.cloud.dataproc_v1.types.workflow_templates.WorkflowTemplate] = 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.workflow_templates.WorkflowTemplate [source]¶
Updates (replaces) workflow template. The updated template must contain version that matches the current server version.
# 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_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceAsyncClient() # Initialize request argument(s) template = dataproc_v1.WorkflowTemplate() template.id = "id_value" template.placement.managed_cluster.cluster_name = "cluster_name_value" template.jobs.hadoop_job.main_jar_file_uri = "main_jar_file_uri_value" template.jobs.step_id = "step_id_value" request = dataproc_v1.UpdateWorkflowTemplateRequest( template=template, ) # Make the request response = await client.update_workflow_template(request=request) # Handle the response print(response)
- Parameters
request (Optional[Union[google.cloud.dataproc_v1.types.UpdateWorkflowTemplateRequest, dict]]) – The request object. A request to update a workflow template.
template (
google.cloud.dataproc_v1.types.WorkflowTemplate
) –Required. The updated workflow template.
The
template.version
field must match the current version.This corresponds to the
template
field on therequest
instance; ifrequest
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 Dataproc workflow template resource.
- Return type
- class google.cloud.dataproc_v1.services.workflow_template_service.WorkflowTemplateServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dataproc_v1.services.workflow_template_service.transports.base.WorkflowTemplateServiceTransport, typing.Callable[[...], google.cloud.dataproc_v1.services.workflow_template_service.transports.base.WorkflowTemplateServiceTransport]]] = 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 Workflow Templates in the Dataproc API.
Instantiates the workflow template 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,WorkflowTemplateServiceTransport,Callable[..., WorkflowTemplateServiceTransport]]]) – 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 WorkflowTemplateServiceTransport 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 whentransport
is not explicitly provided. Only if this property is not set andtransport
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 theapi_endpoint
property still takes precedence; anduniverse_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
- 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_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.
- create_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.CreateWorkflowTemplateRequest, dict]] = None, *, parent: Optional[str] = None, template: Optional[google.cloud.dataproc_v1.types.workflow_templates.WorkflowTemplate] = 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.workflow_templates.WorkflowTemplate [source]¶
Creates new workflow template.
# 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_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceClient() # Initialize request argument(s) template = dataproc_v1.WorkflowTemplate() template.id = "id_value" template.placement.managed_cluster.cluster_name = "cluster_name_value" template.jobs.hadoop_job.main_jar_file_uri = "main_jar_file_uri_value" template.jobs.step_id = "step_id_value" request = dataproc_v1.CreateWorkflowTemplateRequest( parent="parent_value", template=template, ) # Make the request response = client.create_workflow_template(request=request) # Handle the response print(response)
- Parameters
request (Union[google.cloud.dataproc_v1.types.CreateWorkflowTemplateRequest, dict]) – The request object. A request to create a workflow template.
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.workflowTemplates.create
, the resource name of the region has the following format:projects/{project_id}/regions/{region}
For
projects.locations.workflowTemplates.create
, the resource name of the location has the following format:projects/{project_id}/locations/{location}
This corresponds to the
parent
field on therequest
instance; ifrequest
is provided, this should not be set.template (google.cloud.dataproc_v1.types.WorkflowTemplate) –
Required. The Dataproc workflow template to create.
This corresponds to the
template
field on therequest
instance; ifrequest
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 Dataproc workflow template resource.
- Return type
- static crypto_key_path(project: str, location: str, key_ring: str, crypto_key: str) str [source]¶
Returns a fully-qualified crypto_key string.
- 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
- delete_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.DeleteWorkflowTemplateRequest, 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 a workflow template. It does not cancel in-progress workflows.
# 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_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceClient() # Initialize request argument(s) request = dataproc_v1.DeleteWorkflowTemplateRequest( name="name_value", ) # Make the request client.delete_workflow_template(request=request)
- Parameters
request (Union[google.cloud.dataproc_v1.types.DeleteWorkflowTemplateRequest, dict]) – The request object. A request to delete a workflow template. Currently started workflows will remain running.
name (str) –
Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names.
For
projects.regions.workflowTemplates.delete
, the resource name of the template has the following format:projects/{project_id}/regions/{region}/workflowTemplates/{template_id}
For
projects.locations.workflowTemplates.instantiate
, the resource name of the template has the following format:projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
This corresponds to the
name
field on therequest
instance; ifrequest
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.
- 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
- 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
- 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
- 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 ofbindings
. Abinding
binds one or moremembers
to a singlerole
. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). Arole
is a named list of permissions (defined by IAM or configured by users). Abinding
can optionally specify acondition
, 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
- 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
- get_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.GetWorkflowTemplateRequest, 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.workflow_templates.WorkflowTemplate [source]¶
Retrieves the latest workflow template.
Can retrieve previously instantiated template by specifying optional version parameter.
# 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_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceClient() # Initialize request argument(s) request = dataproc_v1.GetWorkflowTemplateRequest( name="name_value", ) # Make the request response = client.get_workflow_template(request=request) # Handle the response print(response)
- Parameters
request (Union[google.cloud.dataproc_v1.types.GetWorkflowTemplateRequest, dict]) – The request object. A request to fetch a workflow template.
name (str) –
Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names.
For
projects.regions.workflowTemplates.get
, the resource name of the template has the following format:projects/{project_id}/regions/{region}/workflowTemplates/{template_id}
For
projects.locations.workflowTemplates.get
, the resource name of the template has the following format:projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
This corresponds to the
name
field on therequest
instance; ifrequest
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 Dataproc workflow template resource.
- Return type
- instantiate_inline_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.InstantiateInlineWorkflowTemplateRequest, dict]] = None, *, parent: Optional[str] = None, template: Optional[google.cloud.dataproc_v1.types.workflow_templates.WorkflowTemplate] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.api_core.operation.Operation [source]¶
Instantiates a template and begins execution.
This method is equivalent to executing the sequence [CreateWorkflowTemplate][google.cloud.dataproc.v1.WorkflowTemplateService.CreateWorkflowTemplate], [InstantiateWorkflowTemplate][google.cloud.dataproc.v1.WorkflowTemplateService.InstantiateWorkflowTemplate], [DeleteWorkflowTemplate][google.cloud.dataproc.v1.WorkflowTemplateService.DeleteWorkflowTemplate].
The returned Operation can be used to track execution of workflow by polling [operations.get][google.longrunning.Operations.GetOperation]. The Operation will complete when entire workflow is finished.
The running workflow can be aborted via [operations.cancel][google.longrunning.Operations.CancelOperation]. This will cause any inflight jobs to be cancelled and workflow-owned clusters to be deleted.
The [Operation.metadata][google.longrunning.Operation.metadata] will be WorkflowMetadata. Also see Using WorkflowMetadata.
On successful completion, [Operation.response][google.longrunning.Operation.response] will be [Empty][google.protobuf.Empty].
# 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_instantiate_inline_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceClient() # Initialize request argument(s) template = dataproc_v1.WorkflowTemplate() template.id = "id_value" template.placement.managed_cluster.cluster_name = "cluster_name_value" template.jobs.hadoop_job.main_jar_file_uri = "main_jar_file_uri_value" template.jobs.step_id = "step_id_value" request = dataproc_v1.InstantiateInlineWorkflowTemplateRequest( parent="parent_value", template=template, ) # Make the request operation = client.instantiate_inline_workflow_template(request=request) print("Waiting for operation to complete...") response = operation.result() # Handle the response print(response)
- Parameters
request (Union[google.cloud.dataproc_v1.types.InstantiateInlineWorkflowTemplateRequest, dict]) – The request object. A request to instantiate an inline workflow template.
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.workflowTemplates,instantiateinline
, the resource name of the region has the following format:projects/{project_id}/regions/{region}
For
projects.locations.workflowTemplates.instantiateinline
, the resource name of the location has the following format:projects/{project_id}/locations/{location}
This corresponds to the
parent
field on therequest
instance; ifrequest
is provided, this should not be set.template (google.cloud.dataproc_v1.types.WorkflowTemplate) –
Required. The workflow template to instantiate.
This corresponds to the
template
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
An object representing a long-running operation.
- The result type for the operation will be
google.protobuf.empty_pb2.Empty
A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:
- service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
}
- The result type for the operation will be
- Return type
- instantiate_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.InstantiateWorkflowTemplateRequest, dict]] = None, *, name: Optional[str] = None, parameters: Optional[MutableMapping[str, str]] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.api_core.operation.Operation [source]¶
Instantiates a template and begins execution.
The returned Operation can be used to track execution of workflow by polling [operations.get][google.longrunning.Operations.GetOperation]. The Operation will complete when entire workflow is finished.
The running workflow can be aborted via [operations.cancel][google.longrunning.Operations.CancelOperation]. This will cause any inflight jobs to be cancelled and workflow-owned clusters to be deleted.
The [Operation.metadata][google.longrunning.Operation.metadata] will be WorkflowMetadata. Also see Using WorkflowMetadata.
On successful completion, [Operation.response][google.longrunning.Operation.response] will be [Empty][google.protobuf.Empty].
# 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_instantiate_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceClient() # Initialize request argument(s) request = dataproc_v1.InstantiateWorkflowTemplateRequest( name="name_value", ) # Make the request operation = client.instantiate_workflow_template(request=request) print("Waiting for operation to complete...") response = operation.result() # Handle the response print(response)
- Parameters
request (Union[google.cloud.dataproc_v1.types.InstantiateWorkflowTemplateRequest, dict]) – The request object. A request to instantiate a workflow template.
name (str) –
Required. The resource name of the workflow template, as described in https://cloud.google.com/apis/design/resource_names.
For
projects.regions.workflowTemplates.instantiate
, the resource name of the template has the following format:projects/{project_id}/regions/{region}/workflowTemplates/{template_id}
For
projects.locations.workflowTemplates.instantiate
, the resource name of the template has the following format:projects/{project_id}/locations/{location}/workflowTemplates/{template_id}
This corresponds to the
name
field on therequest
instance; ifrequest
is provided, this should not be set.parameters (MutableMapping[str, str]) –
Optional. Map from parameter names to values that should be used for those parameters. Values may not exceed 1000 characters.
This corresponds to the
parameters
field on therequest
instance; ifrequest
is provided, this should not be set.retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
An object representing a long-running operation.
- The result type for the operation will be
google.protobuf.empty_pb2.Empty
A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance:
- service Foo {
rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty);
}
- The result type for the operation will be
- Return type
- 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
- list_workflow_templates(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.ListWorkflowTemplatesRequest, 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.workflow_template_service.pagers.ListWorkflowTemplatesPager [source]¶
Lists workflows that match the specified filter in the request.
# 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_workflow_templates(): # Create a client client = dataproc_v1.WorkflowTemplateServiceClient() # Initialize request argument(s) request = dataproc_v1.ListWorkflowTemplatesRequest( parent="parent_value", ) # Make the request page_result = client.list_workflow_templates(request=request) # Handle the response for response in page_result: print(response)
- Parameters
request (Union[google.cloud.dataproc_v1.types.ListWorkflowTemplatesRequest, dict]) – The request object. A request to list workflow templates 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.workflowTemplates,list
, the resource name of the region has the following format:projects/{project_id}/regions/{region}
For
projects.locations.workflowTemplates.list
, the resource name of the location has the following format:projects/{project_id}/locations/{location}
This corresponds to the
parent
field on therequest
instance; ifrequest
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 workflow templates in a project. Iterating over this object will yield results and resolve additional pages automatically.
- Return type
google.cloud.dataproc_v1.services.workflow_template_service.pagers.ListWorkflowTemplatesPager
- static node_group_path(project: str, region: str, cluster: str, node_group: str) str [source]¶
Returns a fully-qualified node_group string.
- static parse_common_billing_account_path(path: str) Dict[str, str] [source]¶
Parse a billing_account path into its component segments.
- static parse_common_folder_path(path: str) Dict[str, str] [source]¶
Parse a folder path into its component segments.
- static parse_common_location_path(path: str) Dict[str, str] [source]¶
Parse a location path into its component segments.
- static parse_common_organization_path(path: str) Dict[str, str] [source]¶
Parse a organization path into its component segments.
- static parse_common_project_path(path: str) Dict[str, str] [source]¶
Parse a project path into its component segments.
- static parse_crypto_key_path(path: str) Dict[str, str] [source]¶
Parses a crypto_key path into its component segments.
- static parse_node_group_path(path: str) Dict[str, str] [source]¶
Parses a node_group path into its component segments.
- static parse_service_path(path: str) Dict[str, str] [source]¶
Parses a service path into its component segments.
- static parse_workflow_template_path(path: str) Dict[str, str] [source]¶
Parses a workflow_template path into its component segments.
- static service_path(project: str, location: str, service: str) str [source]¶
Returns a fully-qualified service string.
- set_iam_policy(request: Optional[google.iam.v1.iam_policy_pb2.SetIamPolicyRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) google.iam.v1.policy_pb2.Policy [source]¶
Sets the IAM access control policy on the specified function.
Replaces any existing policy.
- Parameters
request (
SetIamPolicyRequest
) – The request object. Request message for SetIamPolicy method.retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.
timeout (float) – The timeout for this request.
metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.
- Returns
Defines an Identity and Access Management (IAM) policy. It is used to specify access control policies for Cloud Platform resources. A
Policy
is a collection ofbindings
. Abinding
binds one or moremembers
to a singlerole
. Members can be user accounts, service accounts, Google groups, and domains (such as G Suite). Arole
is a named list of permissions (defined by IAM or configured by users). Abinding
can optionally specify acondition
, 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.workflow_template_service.transports.base.WorkflowTemplateServiceTransport¶
Returns the transport used by the client instance.
- Returns
- The transport used by the client
instance.
- Return type
WorkflowTemplateServiceTransport
- property universe_domain: str¶
Return the universe domain used by the client instance.
- Returns
The universe domain used by the client instance.
- Return type
- update_workflow_template(request: Optional[Union[google.cloud.dataproc_v1.types.workflow_templates.UpdateWorkflowTemplateRequest, dict]] = None, *, template: Optional[google.cloud.dataproc_v1.types.workflow_templates.WorkflowTemplate] = 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.workflow_templates.WorkflowTemplate [source]¶
Updates (replaces) workflow template. The updated template must contain version that matches the current server version.
# 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_workflow_template(): # Create a client client = dataproc_v1.WorkflowTemplateServiceClient() # Initialize request argument(s) template = dataproc_v1.WorkflowTemplate() template.id = "id_value" template.placement.managed_cluster.cluster_name = "cluster_name_value" template.jobs.hadoop_job.main_jar_file_uri = "main_jar_file_uri_value" template.jobs.step_id = "step_id_value" request = dataproc_v1.UpdateWorkflowTemplateRequest( template=template, ) # Make the request response = client.update_workflow_template(request=request) # Handle the response print(response)
- Parameters
request (Union[google.cloud.dataproc_v1.types.UpdateWorkflowTemplateRequest, dict]) – The request object. A request to update a workflow template.
template (google.cloud.dataproc_v1.types.WorkflowTemplate) –
Required. The updated workflow template.
The
template.version
field must match the current version.This corresponds to the
template
field on therequest
instance; ifrequest
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 Dataproc workflow template resource.
- Return type
- class google.cloud.dataproc_v1.services.workflow_template_service.pagers.ListWorkflowTemplatesAsyncPager(method: Callable[[...], Awaitable[google.cloud.dataproc_v1.types.workflow_templates.ListWorkflowTemplatesResponse]], request: google.cloud.dataproc_v1.types.workflow_templates.ListWorkflowTemplatesRequest, response: google.cloud.dataproc_v1.types.workflow_templates.ListWorkflowTemplatesResponse, *, 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_workflow_templates
requests.This class thinly wraps an initial
google.cloud.dataproc_v1.types.ListWorkflowTemplatesResponse
object, and provides an__aiter__
method to iterate through itstemplates
field.If there are more pages, the
__aiter__
method will make additionalListWorkflowTemplates
requests and continue to iterate through thetemplates
field on the corresponding responses.All the usual
google.cloud.dataproc_v1.types.ListWorkflowTemplatesResponse
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
method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dataproc_v1.types.ListWorkflowTemplatesRequest) – The initial request object.
response (google.cloud.dataproc_v1.types.ListWorkflowTemplatesResponse) – The initial response object.
retry (google.api_core.retry.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.
- class google.cloud.dataproc_v1.services.workflow_template_service.pagers.ListWorkflowTemplatesPager(method: Callable[[...], google.cloud.dataproc_v1.types.workflow_templates.ListWorkflowTemplatesResponse], request: google.cloud.dataproc_v1.types.workflow_templates.ListWorkflowTemplatesRequest, response: google.cloud.dataproc_v1.types.workflow_templates.ListWorkflowTemplatesResponse, *, 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_workflow_templates
requests.This class thinly wraps an initial
google.cloud.dataproc_v1.types.ListWorkflowTemplatesResponse
object, and provides an__iter__
method to iterate through itstemplates
field.If there are more pages, the
__iter__
method will make additionalListWorkflowTemplates
requests and continue to iterate through thetemplates
field on the corresponding responses.All the usual
google.cloud.dataproc_v1.types.ListWorkflowTemplatesResponse
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
method (Callable) – The method that was originally called, and which instantiated this pager.
request (google.cloud.dataproc_v1.types.ListWorkflowTemplatesRequest) – The initial request object.
response (google.cloud.dataproc_v1.types.ListWorkflowTemplatesResponse) – The initial response object.
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.